Evidence accumulation and the moment of recognition: dissociating perceptual recognition processes using fMRI
Open accessAbstract
Decision making can be conceptualized as the culmination of an integrative process in which evidence supporting different response options accumulates gradually over time. We used functional magnetic resonance imaging to investigate brain activity leading up to and during decisions about perceptual object identity. Pictures were revealed gradually and subjects signaled the time of recognition (T R ) with a button press. We examined the time course of T R -dependent activity to determine how brain regions tracked the timing of recognition. In several occipital regions, activity increased primarily as stimulus information increased, suggesting a role in lower-level sensory processing. In inferior temporal, frontal, and parietal regions, a gradual buildup in activity peaking in correspondence with T R suggested that these regions participated in the accumulation of evidence supporting object identity. In medial frontal cortex, anterior insula/frontal operculum, and thalamus, activity remained near baseline until T R , suggesting a relation to the moment of recognition or the decision itself. The findings dissociate neural processes that function in concert during perceptual recognition decisions.
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Written from the paper’s full text.
TL;DR
Using fMRI with gradually revealed pictures, this paper dissociates three neural profiles during perceptual recognition: sensory processors tracking stimulus information, accumulator regions whose activity builds up until recognition, and moment-of-recognition regions active only at the recognition decision. Recognition time (TR) systematically shifted onset/peak timing in accumulator and recognition regions, while sensory regions did not show TR-dependent onset changes.
Key findings
- Behavioral: Exp1 (n=12) had 620/704 picture trials with recognition during steps 1–7; 564 (91.0%) were verified accurate. Exp2 (n=13) had 985/1148 trials with recognition before VoA; 852 (86.5%) later verified. Most correct recognitions occurred in TR4–7.
- Cluster analysis of 73 Exp1 ROIs yielded four time-course clusters; the positive cluster contained 32 ROIs, later split by interpolation into sensory (5), accumulator (13), and moment-of-recognition (14) groups.
- Sensory ROIs (posterior occipital) had onset times that changed little across TR4–7 (mean 5.5, 5.2, 4.8, 5.2 s) and the widest responses (FWHM 15.7, 15.2, 14.6, 15.3 s). Accumulator ROIs (occipital/fusiform, dlPFC, PPL) showed TR-dependent buildup: onset 7.1, 7.0, 8.2, 8.6 s; peak 14.8, 16.5, 18.3, 20.0 s; leading-edge slope decreased 0.13, 0.11, 0.10, 0.10. Moment-of-recognition ROIs (meFG/pre-SMA, ACC, aI/fO, thalamus) had markedly later onsets as TR increased (8.5, 12.0, 13.3, 14.3 s), peaks 14.2, 16.3, 18.3, 20.2 s, and narrowest widths (7.1, 4.8, 5.7, 5.4 s).
- Statistical tests supported dissociation: onset showed a main effect of TR (F(2.5,73.4)=14.47, p<0.0001) and TR×region interaction (F(5.1,73.4)=10.91, p<0.0001); width differed by region type (F(2,29)=90.48, p<0.0001).
Methods
- Two fMRI experiments with gradual unmasking of 233 grayscale images over eight revelation steps; participants pressed a button when they recognized the picture (TR) and again at full revelation if earlier recognition was correct (VoA). Exp1 used within-trial jitter; Exp2 removed within-trial jitter and added trials.
- 31 right-handed native English speakers (18 female, age 19–29) began; 25 were analyzed after exclusions (12 Exp1, 13 Exp2). Imaging used a Siemens Allegra 3T scanner; data were analyzed with voxelwise GLM and repeated-measures ANOVA.
- Exp1 identified 73 ROIs by comparing TR and VoA activity; Exp2 extracted TR-dependent time courses from those ROIs. Hierarchical cluster analysis (UPGMA; cophenetic r=0.8234) classified time courses, and linear interpolation quantified onset, peak, and FWHM.
Limitations
- Stated: the authors could not perform trial-level analyses, so findings are too broad to test different accumulator models; the degree to which TR-dependent buildup reflects evidence accumulation per se is unclear and could be a byproduct of information processing.
- Stated: the precise functional relationship between accumulator and moment-of-recognition regions is unknown, including whether decisions arise from accumulators or from regions active at the moment of recognition.
- Evident from text: sample size after exclusions was modest (25 analyzed), some ROIs showed atypical or late responses possibly related to VoA rather than TR, and bottom-up stimulus-specific differences may have influenced recognition times.
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Claims the paper makes
0 of 36 cited sources checked · 0 supported · 0 flagged
- Findingown data
In medial frontal cortex, anterior insula/frontal operculum, and thalamus, activity remained near baseline until TR.
“In medial frontal cortex, anterior insula/frontal operculum, and thalamus, activity remained near baseline until T R , suggesting a relation to the moment of recognition or the decision itself.”
Quote in the paperSubstantial claim- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
- Findingown data
In inferior temporal, frontal, and parietal regions, a gradual buildup in activity peaked in correspondence with TR.
“In inferior temporal, frontal, and parietal regions, a gradual buildup in activity peaking in correspondence with T R suggested that these regions participated in the accumulation of evidence supporting object identity.”
Quote in the paperSubstantial claim- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
- Findingown data
In several occipital regions, activity increased primarily as stimulus information increased.
“In several occipital regions, activity increased primarily as stimulus information increased, suggesting a role in lower-level sensory processing.”
Quote in the paperSubstantial claim- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
- Findingown data
Data from the two studies demonstrate that gradual revelation produced significant spread in recognition times.
“Data from the two studies demonstrate that gradual revelation produced significant spread in recognition times.”
Quote in the paperSubstantial claim - Findingown data
Time courses from the two motor ROIs were highly similar.
“Time courses from the two ROIs were highly similar, so to increase power we merged the ROIs before extracting time courses for T R 4 -7.”
Quote in the paperNot a substantial claim
- Findingown data
In Exp1, 620 of 704 picture trials received a recognition response during steps 1-7 of revelation.
“In the group analysis (n ϭ 12), 620 of 704 picture trials received a recognition response during steps 1-7 (T R 1-7) of revelation.”
Quote in the paperNot a substantial claim - Findingown data
In Exp2, 985 of 1148 trials received a recognition response before VoA.
“In Exp2 (n ϭ 13), 985 of 1148 trials received a recognition response before VoA.”
Quote in the paperSubstantial claim - Findingown data
Pruning the cluster tree at 1-r=0.8 produced four clusters, each associated with a distinct pattern of time course when averaged over all ROIs in a cluster.
“Pruning the cluster tree at 1 Ϫ r ϭ 0.8 produced four clusters, each associated with a distinct pattern of time course when averaged over all ROIs in a cluster (Fig. 3b-e; Tables 1234).”
Quote in the paperSubstantial claim - Findingown data
Of the 620 recognition responses in Exp1, 564 (91.0%) received a VoA response and were judged accurate.
“Of these, 564 (91.0%) received a VoA response and were thus judged to be accurate.”
Quote in the paperNot a substantial claim - Findingown data
Of the 985 recognition responses in Exp2, 852 (86.5%) received a later VoA response.
“Of these, 852 (86.5%) received a later VoA response.”
Quote in the paperNot a substantial claim - Findingown data
In Exp1, most correct recognition responses occurred in TR4-7.
“As shown in Figure 1b, most correct responses occurred in T R 4 -7.”
Quote in the paperNot a substantial claim - Findingnone given
During stimulus revelation, activity in posterior occipital regions initially increased monotonically as a function of the amount of visual information entering the system.
“During stimulus revelation, activity in posterior occipital regions initially increased monotonically as a function of the amount of visual information entering the system.”
Quote in the paperNot a substantial claim - Findingown data
The 32 ROIs clustered into three distinct groups containing 14, 5, and 13 ROIs (not including the three idealized value sets).
“The 32 ROIs clustered into three distinct groups containing 14, 5, and 13 ROIs (not including the three idealized value sets).”
Quote in the paperSubstantial claim - Findingown data
Regions in medial occipital cortex (BA17/18) clustered closely with the idealized sensory processing parameters.
“For example, regions in medial occipital cortex (ϳBA 17/18) clustered closely with the idealized sensory processing parameters (Fig. 5a, red).”
Quote in the paperNot a substantial claim - Findingown data
In recognition ROIs, onset times increased markedly as TR increased (8.5, 12.0, 13.3, 14.3 s).
“In recognition ROIs, onset times (Fig. 8b) increased markedly as T R increased (8.5, 12.0, 13.3, 14.3 s).”
Quote in the paperSubstantial claim - Findingown data
The fourth and largest cluster displayed positive responses that, as a group, suggested increased activity at a rate corresponding with TR.
“The fourth and largest cluster displayed positive responses that, as a group, suggested increased activity at a rate corresponding with T R (Fig. 3e, Table 4).”
Quote in the paperNot a substantial claim - Findingown data
Onset times in sensory ROIs changed little across TR4-7 (mean=5.5, 5.2, 4.8, 5.2 s).
“Onset times in sensory ROIs (Fig. 6b) changed little across T R 4 -7 (mean ϭ 5.5, 5.2, 4.8, 5.2 s, respectively, across ROIs within the cluster)”
Quote in the paperSubstantial claim - Findingown data
Activity in some sensory processors varied modestly with TR, as evidenced by peak latencies that shifted positively with TR.
“Activity in some sensory processors also appeared to vary modestly with T R , as evidenced by peak latencies that shifted positively with T R (Figs. 4a, 5c).”
Quote in the paperNot a substantial claim- Rests on an assumption: The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
- Findingown data
Regions in meFG (BA6), ACC (BA8,32), right inferior parietal cortex (BA40), right inferior frontal gyrus (BA47), and right inferior precentral gyrus (BA44) clustered tightly with the idealized moment of recognition parameters.
“Regions in meFG (ϳBA 6), ACC (ϳBA 8, 32), right inferior parietal cortex (ϳBA 40), right inferior frontal gyrus (ϳBA 47), and right inferior precentral gyrus (ϳBA 44) clustered tightly with the idealized moment of recognition parameters (Fig. 5a, green).”
Quote in the paperSubstantial claim - Findingown data
In ROIs located near the right supramarginal gyrus, right posterior parietal lobe, right inferior precentral gyrus near frontal operculum, and right posterior inferior frontal gyrus, activity increases occurred relatively late in the trial.
“In ROIs located near the right supramarginal gyrus (ϩ34, Ϫ57, ϩ47), right posterior parietal lobe (ϩ49, Ϫ48, ϩ47), right inferior precentral gyrus near frontal operculum (ϩ51, ϩ15, ϩ07), and right posterior inferior frontal gyrus (ϩ45, ϩ14, Ϫ03) (supplemental Fig. 1a, bottom panel, available at www.jneurosci.org as supplemental material), activity increases occurred relatively late in the trial (”
Quote in the paperNot a substantial claim - Findingcitation
Some parietal regions displaying accumulation responses are near parietal retrieval success regions identified in episodic memory studies using old/new recognition and source memory tasks.
“It is worth noting that some parietal regions displaying accumulation responses are near parietal”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Habib and Lepage, 1999
Not checked in the free run.
- cites Konishi et al., 2000
Not checked in the free run.
- cites Wheeler and Buckner, 2003
Not checked in the free run.
- Findingown data
The time courses associated with TR4-5 were bimodal, indicative of separate motor responses occurring at recognition and again at VoA.
“The time courses associated with T R 4 -5 were bimodal, indicative of separate motor responses occurring at recognition and again at VoA.”
Quote in the paperSubstantial claim - Findingown data
Peak times tended to increase in all three region types.
“Peak times tended to increase in all three region types (Figs. 6 -8c)”
Quote in the paperNot a substantial claim - Findingown data
In Exp2, recognition times for some items tended to be consistent across subjects.
“The Exp2 behavioral data support this alternative, because recognition times for some items tended to be consistent across subjects (see supplemental text, available at www. jneurosci.orgas supplemental material).”
Quote in the paperSubstantial claim - Findingown data
The observed rates of increasing onset values across TR4-7 differed significantly between the three region types, with recognition > accumulator > sensory.
“All three ANOVAs revealed an interaction of region type with T R (all p Ͻ 0.05), indicating that the observed rates of increasing onset values across T R 4 -7 (recognition Ͼ accumulator Ͼ sensory) differed significantly between the three region types.”
Quote in the paperSubstantial claim - Findingown data
Onset times in accumulator ROIs increased slightly across TR4-7 (7.1, 7.0, 8.2, 8.6 s).
“whereas onset times in accumulator ROIs (Fig. 7b) increased slightly (7.1, 7.0, 8.2, 8.6 s).”
Quote in the paperNot a substantial claim - Findingown data
Early visual processing areas displayed an early onset of BOLD signal change followed by a gradual increase in activity that extended to the end of the trial.
“For example, early visual processing areas displayed an early onset of BOLD signal change, followed by a gradual increase in activity that extended to the end of the trial (e.g., left ventral cuneus near BA 17) (Fig. 4a).”
Quote in the paperSubstantial claim - Findingown data
ROIs near the lingual gyrus and cuneus (BA19) showed an initial decrease in activity followed by a marked increase near the end of the trial.
“For example, ROIs near the lingual gyrus and cuneus (ϳBA 19) (Fig. 4c) showed an initial decrease in activity followed by a marked increase near the end of the trial.”
Quote in the paperNot a substantial claim - Findingown data
In other regions with an early onset, the peak in activity shifted with TR; this set included ROIs in bilateral PPL, precuneus, middle occipital gyrus, left IT, and bilateral dlPFC.
“In other regions with an early onset, the peak in activity shifted with T R .This set included ROIs in bilateral PPL, precuneus, middle occipital gyrus, left IT (Fig. 4b), and bilateral dlPFC (Table 4).”
Quote in the paperSubstantial claim - Findingown data
This pattern of activity differed substantially from the patterns observed in the positive waveform cluster.
“This pattern of activity differed substantially from the patterns observed in the positive waveform cluster.”
Quote in the paperSubstantial claim - Findingown data
In motor areas, TR4-5 time courses displayed a clear bimodal pattern in which the initial peak was associated with TR and the second peak with VoA.
“In motor areas, T R 4 -5 time courses displayed a clear bimodal pattern in which the initial peak was associated with T R and the second peak with VoA.”
Quote in the paperSubstantial claim - Findingown data
A large cluster of regions in medial parietal (precuneus) cortex, superior temporal gyrus, posterior insula, medial frontal cortex, and lateral parietal lobes exhibited negative time courses that tended to peak in step with TR.
“A large cluster of regions located in medial parietal (precuneus) cortex, superior temporal gyrus, posterior insula, medial frontal cortex, and lateral parietal lobes exhibited negative time courses that tended to peak in step with T R (Fig. 3b, Table 1).”
Quote in the paperNot a substantial claim - Findingown data
Accumulator patterns of response were found in ROIs in bilateral occipital lobes, fusiform gyrus near lateral occipital complex, dlPFC, and PPL.
“We found accumulator patterns of response in ROIs in bilateral occipital lobes, fusiform gyrus near lateral occipital complex (Kourtzi and Kanwisher, 2001), dlPFC, and PPL (Fig. 7).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kourtzi and Kanwisher, 2001
Not checked in the free run.
- Findingown data
The values in moment of recognition ROIs were clearly distinct from the accumulator and sensory processing ROIs.
“Despite these differences, the values in moment of recognition ROIs were clearly distinct from the accumulator and sensory processing ROIs.”
Quote in the paperSubstantial claim - Findingown data
The fourth cluster ROIs were located in bilateral dlPFC (BA47,46), ACC (BA32), IT (including fusiform gyrus; BA37,20), PPL (BA40,7), cuneus/posterior occipital (BA18), striatum, thalamus and cerebellum.
“These ROIs were located in bilateral dlPFC (ϳBA 47, 46), ACC (BA 32), IT (including fusiform gyrus; BA 37, 20), PPL (BA 40, 7), cuneus/posterior occipital (BA 18), striatum, thalamus and cerebellum, and represent the target of our further analyses.”
Quote in the paperSubstantial claim - Findingown data
The increasing onset values observed in recognition ROIs was greater than the accumulation ROI values.
“Thus, the increasing onset values observed in recognition ROIs was greater than the accumulation ROI values.”
Quote in the paperSubstantial claim - Findingown data
Responses in occipital and fusiform ROIs clustered quite closely with the idealized accumulator parameters.
“Responses in occipital and fusiform ROIs clustered quite closely with the idealized accumulator parameters (Fig. 5a, blue).”
Quote in the paperSubstantial claim - Findingown data
A cluster of seven ROIs in bilateral posterior occipital cortex, lingual gyrus, and left parahippocampal gyrus displayed an initial decrease in activity followed by a prominent increase near the end of the time series (late positive).
“A cluster of seven ROIs located in bilateral posterior occipital cortex, lingual gyrus, and left parahippocampal gyrus displayed an initial decrease in activity, followed by a prominent increase near the end of the time series (late positive) (Fig. 3c, Table 2).”
Quote in the paperNot a substantial claim - Findingown data
Peak time increases were steeper in accumulator (14.8, 16.5, 18.3, 20.0 s) and recognition (14.2, 16.3, 18.3, 20.2 s) ROIs than sensory (15.6, 17.6, 17.6, 18.8 s) ROIs.
“with steeper increases in accumulator (14.8, 16.5, 18.3, 20.0 s) and recognition (14.2, 16.3, 18.3, 20.2 s) ROIs than sensory (15.6, 17.6, 17.6, 18.8 s) ROIs.”
Quote in the paperSubstantial claim - Findingown data
Sensory ROIs were associated with the widest response profiles across levels of TR (15.7, 15.2, 14.6, 15.3 s), followed by accumulator (11.3, 11.0, 10.2, 9.2 s) and recognition (7.1, 4.8, 5.7, 5.4 s) ROIs.
“Sensory ROIs were associated with the widest response profiles across levels of T R (Fig. 6d) (15.7, 15.2, 14.6, 15.3 s), followed by accumulator (Fig. 7d) (11.3, 11.0, 10.2, 9.2 s) and recognition (Fig. 8d) (7.1, 4.8, 5.7, 5.4 s) ROIs.”
Quote in the paperSubstantial claim - Findingown data
The current data show that activity in IPS gradually accumulates until the moment of object identification.
“The current data show that activity in IPS gradually accumulates until the moment of object identification, and thus suggest a more domaingeneral integrative mechanism supporting episodic recognition and perceptual identification.”
Quote in the paperSubstantial claim - Findingown data
In motor ROIs, a transient change in BOLD signal was observed at both recognition and VoA.
“In contrast, in motor ROIs we observed a transient change in BOLD signal at both recognition and VoA (supplemental Figure 3, available at www. jneurosci.orgas supplemental material).”
Quote in the paperNot a substantial claim - Findingown data
A pure error detection hypothesis is not supported by the current data because TR-dependent BOLD responses were clearly evident on correct trials.
“However, a pure error detection hypothesis is not supported by the current data because T R -dependent BOLD responses were clearly evident on correct trials.”
Quote in the paperSubstantial claim - Findingown data
Activity in a large number of regions, including bilateral thalamus, meFG/pre-SMA, dorsal ACC, and aI/fO, was tightly coupled to the time of recognition.
“Activity in a large number of regions, including bilateral thalamus, meFG/pre-SMA, dorsal ACC, and aI/fO, was tightly coupled to the time of recognition (Fig. 8).”
Quote in the paperSubstantial claim - Findingown data
Regions recruited at the moment of recognition were clearly more involved at the time of recognition than at the time of verification.
“Instead, it appears that activity in areas recruited at the moment of recognition reflects contingencies regarding their recruitment; these regions were clearly more involved at the time of recognition than at the time of verification.”
Quote in the paperSubstantial claim - Findingown data
A region near the intraparietal sulcus (IPS) (e.g., -26, -68, 38) demonstrated an accumulator pattern of response.
“For example, a region near the intraparietal sulcus (IPS) (e.g., Ϫ26, Ϫ68, 38) demonstrated an accumulator pattern of response.”
Quote in the paperSubstantial claim - Findingown data
Error trials were associated with significantly greater TR-dependent activity than correct trials in the moment of recognition ROIs.
“Error trials (not presented) were associated with significantly greater T Rdependent activity than correct trials in the moment of recognition ROIs.”
Quote in the paperSubstantial claim- Rests on an assumption: The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
- Findingown data
The current work demonstrates that regions in pre-SMA, ACC, aI/fO, and thalamus show strong activity to cognitive events that arise at, but not before, the moment of recognition.
“The current work extends previous research findings by demonstrating that regions in pre-SMA, ACC, aI/fO, and thalamus show strong activity to cognitive events that arise at, but not before, the moment of recognition.”
Quote in the paperSubstantial claim- Rests on an assumption: The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
- Study design and conductreasoning
Within-trial jitter was needed in Exp1 to separate BOLD responses associated with recognition and VoA events.
“Third, whereas within-trial jitter was needed in Exp1 to separate BOLD responses associated with recognition and VoA events, in Exp2 we eliminated the within-trial jitter to reduce the complexity of the time courses.”
Quote in the paperSubstantial claim - Premisecitation
Very little has been done to identify the neural mechanisms of evidence accumulation in human decision making.
“Although such work has been conducted extensively in nonhuman primates, very little has been done to identify the neural mechanisms of evidence accumulation in human decision making (Heekeren et al., 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Heekeren et al., 2004
Not checked in the free run.
- Study design and conductcitation
Gradual stimulus revelation was used over other unmasking procedures because the quantity of stimulus input could be readily mapped onto neural activity as a linear increase across the trial.
“We used gradual stimulus revelation over other unmasking procedures (e.g., mask degradation remains constant but areas revealed change from step to step) because we could readily map the quantity of stimulus input onto neural activity as a linear increase across the trial (Carlson et al., 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Carlson et al., 2006
Not checked in the free run.
- Interpretationown data
Perceptual recognition is accomplished in dissociable sets of brain regions that process sensory inputs, accrue evidence, and signal recognition.
“We present data from two experiments demonstrating that perceptual recognition is accomplished in dissociable sets of brain regions that process sensory inputs, accrue evidence, and signal recognition.”
Quote in the paperSubstantial claim- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
- Interpretationreasoning
The findings dissociate neural processes that function in concert during perceptual recognition decisions.
“The findings dissociate neural processes that function in concert during perceptual recognition decisions.”
Quote in the paperSubstantial claim- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
- Interpretationown data
The occipital regions that increased with stimulus information play a role in lower-level sensory processing.
“In several occipital regions, activity increased primarily as stimulus information increased, suggesting a role in lower-level sensory processing.”
Quote in the paperSubstantial claim - Interpretationown data
These inferior temporal, frontal, and parietal regions participated in the accumulation of evidence supporting object identity.
“In inferior temporal, frontal, and parietal regions, a gradual buildup in activity peaking in correspondence with T R suggested that these regions participated in the accumulation of evidence supporting object identity.”
Quote in the paperSubstantial claim - Interpretationown data
The activity in medial frontal cortex, anterior insula/frontal operculum, and thalamus is related to the moment of recognition or the decision itself.
“In medial frontal cortex, anterior insula/frontal operculum, and thalamus, activity remained near baseline until T R , suggesting a relation to the moment of recognition or the decision itself.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Because ROIs were defined using data from one set of subjects (Exp1) and applied to data from a different set of subjects (Exp2), the ROI-based time course data from Exp2 were not biased to show specific effects.
“Second, because ROIs were defined using data from one set of subjects (Exp1) and applied to data from a different set of subjects (Exp2), the ROI-based time course data from Exp2 were not biased to show specific effects.”
Quote in the paperSubstantial claim - Interpretationown data
Activity in these regions appeared to be most directly related to processes engaged at the time of recognition.
“Activity in these regions appeared to be most directly related to processes engaged at the time of recognition.”
Quote in the paperSubstantial claim- Rests on an assumption: The moment of recognition is a discrete event.
- Study design and conductown data
Because trial-level analyses could not be performed, the findings are too broad to test the veracity of different accumulator models.
“Because we could not perform trial-level analyses, the findings are too broad to test the veracity of different accumulator models.”
Quote in the paperSubstantial claim - Study design and conductown data
The procedure used to identify ROIs by comparing TR with VoA factored out motor processing to a reasonable degree.
“We conclude from these data that the procedure used to identify ROIs by comparing T R with VoA factored out motor processing to a reasonable degree.”
Quote in the paperSubstantial claim - Interpretationreasoning
The time course profiles for TR6-7 were wider, most likely reflecting that perceptual recognition decisions and VoA occurred closely enough in time that the BOLD responses were summated.
“The time course profiles for T R 6 -7 were wider, most likely reflecting the fact that perceptual recognition decisions and VoA occurred closely enough in time that the BOLD responses were summated.”
Quote in the paperSubstantial claim - Interpretationreasoning
The results help define a hierarchy of neural mechanisms involved in sorting inputs, gathering evidence, and deciding and monitoring an appropriate course of action.
“Overall, the results help define a hierarchy of neural mechanisms involved in sorting inputs, gathering evidence, and deciding and monitoring an appropriate course of action.”
Quote in the paperSubstantial claim - Interpretationcitation
The pattern of TR-dependent accumulation of BOLD activity observed in these regions is consistent with the buildup of neural activity found in studies of nonhuman primates making perceptual decisions.
“The pattern of T R -dependent accumulation of BOLD activity observed in these regions is consistent with the buildup of neural activity found in studies of nonhuman primates making perceptual decisions (Hanes and Schall, 1996;Kim and Shadlen, 1999;Platt and Glimcher, 1999;Shadlen and Newsome, 2001;Ratcliff et al., 2003).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Hanes and Schall, 1996
Not checked in the free run.
- cites Kim and Shadlen, 1999
Not checked in the free run.
- cites Shadlen and Newsome, 2001 source
Not checked in the free run.
- Interpretationown data
A set of processors is clearly engaged at, but not before, the time of recognition.
“(3) a set of processors that are clearly engaged at, but not before, the time of recognition.”
Quote in the paperSubstantial claim - Interpretationown data
Neural mechanisms supporting perceptual recognition decisions can be dissociated using fMRI.
“We present data indicating that neural mechanisms supporting perceptual recognition decisions can be dissociated using fMRI.”
Quote in the paperSubstantial claim - Interpretationown data
Accumulation processes can be identified using fMRI as dynamically evolving signals.
“In addition, they demonstrate that accumulation processes can be identified using fMRI as dynamically evolving signals.”
Quote in the paperSubstantial claim - Interpretationown data
Sensory processors are a neural mechanism in which activity reflects the quantity of stimulus information entering the system.
“These include (1) sensory processors in which activity reflects the quantity of stimulus information entering the system”
Quote in the paperSubstantial claim - Interpretationreasoning
Perceptual recognition may occur when activity in one or more accumulators surpasses a response threshold.
“Ultimately, perceptual recognition may occur when activity in one or more accumulators surpasses a response threshold.”
Quote in the paperSubstantial claim - Interpretationown data
The tight coupling of the rate of activity buildup and TR in our data and in single-unit studies in nonhuman primates suggests that a purely epiphenomenal account is unlikely.
“In our view, however, the tight coupling of the rate of activity buildup and T R in our data and in single-unit studies in nonhuman primates (Kim and Shadlen, 1999;Shadlen and Newsome, 2001) suggests that a purely epiphenomenal account is unlikely.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kim and Shadlen, 1999
Not checked in the free run.
- cites Shadlen and Newsome, 2001 source
Not checked in the free run.
- Rests on an assumption: The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
- Interpretationown data
Accumulators may reflect the gathering of information used in making the decision.
“(2) accumulators that may reflect the gathering of information used in making the decision”
Quote in the paperSubstantial claim - Interpretationreasoning
The late response suggests that these regions may be more involved in processing occurring at VoA than at TR.
“The late response suggests that these regions may be more involved in processing occurring at VoA than at T R .”
Quote in the paperNot a substantial claim- Rests on an assumption: The moment of recognition is a discrete event.
- Interpretationreasoning
The level of activity in the accumulator regions may reflect neuronal processing relevant to the recognition decision.
“The level of ac-tivity in the accumulator regions may thus reflect neuronal processing relevant to the recognition decision.”
Quote in the paperSubstantial claim - Interpretationreasoning
TR may have been influenced somewhat by bottom-up stimulus-specific differences in the amount or type of stimulus information available throughout the revelation process.
“It appears that T R may have been influenced somewhat by bottom-up stimulus-specific differences in the amount or type of stimulus in- formation available throughout the revelation process.”
Quote in the paperNot a substantial claim- Rests on an assumption: The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
- Interpretationreasoning
Regions in pre-SMA, ACC, aI/fO, and thalamus do not appear to be explicitly linked to the decision process.
“However, they do not appear to be explicitly linked to the decision process.”
Quote in the paperSubstantial claim - Interpretationcitation
The association between the decision outcome and level of BOLD signal suggests that the memory decision may have been based on a simple threshold mechanism.
“The association between the decision outcome and level of BOLD signal suggests that the memory decision may have been based on a simple threshold mechanism.”
Quote in the paperSubstantial claim - Interpretationreasoning
Errors appear to modulate other processing occurring in these areas.
“Instead, errors appear to modulate other processing occurring in these areas.”
Quote in the paperSubstantial claim - Interpretationown data
The overall pattern of data suggests a hierarchical framework of neural mechanisms that is recruited during decision making.
“The overall pattern of data suggests a hierarchical framework of neural mechanisms that is recruited during decision making.”
Quote in the paperSubstantial claim - Interpretationown data
Activity in areas recruited at the moment of recognition reflects contingencies regarding their recruitment.
“Instead, it appears that activity in areas recruited at the moment of recognition reflects contingencies regarding their recruitment; these regions were clearly more involved at the time of recognition than at the time of verification.”
Quote in the paperSubstantial claim - Interpretationcitation
The function of meFG/pre-SMA does not appear to be directly related to action planning or execution.
“The precise role of meFG/ pre-SMA is unclear, although its function does not appear to be directly related to action planning or execution (Picard and Strick, 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Picard and Strick, 2001
Not checked in the free run.
- Interpretationown data
The current data suggest a more domain-general integrative mechanism supporting episodic recognition and perceptual identification.
“The current data show that activity in IPS gradually accumulates until the moment of object identification, and thus suggest a more domaingeneral integrative mechanism supporting episodic recognition and perceptual identification.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 27
- May combine two claims. 18
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe motor analysis identified two ROIs encompassing precentral and postcentral gyri.
“We identified two ROIs encompassing precentral and postcentral gyri (left peak ϭ Ϫ41, Ϫ26, ϩ58; right ϭ ϩ39, Ϫ20, ϩ57) (supplemental Figure 3, available at www.jneurosci.org as supplemental material).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe distribution of binned correct trials in Exp2 was quite similar to the distribution from Exp1, with 157, 156, 247, and 204 in TR4-7, respectively.
“The distribution of binned correct trials was quite similar to the distribution from Exp1 (Fig. 1c), with 157, 156, 247, and 204 in T R 4 -7, respectively.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor this dataset, UPGMA gives a larger cophenetic correlation coefficient (0.8234) than single linkage (0.6584) or complete linkage (0.7781).
“This is indeed the case for our dataset where UPGMA gives a larger cophenetic r (0.8234) than either single linkage (0.6584) or complete linkage (0.7781) approaches.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingown dataThe results did not change markedly across the four onset threshold values (10, 15, 20, and 25% of peak).
“The results did not change markedly across the four values, so we used the mean of the four values as the onset point.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe Exp1 analysis produced 73 ROIs.
“This procedure produced 73 ROIs (see Fig. 4, middle; Tables 1234), which were then used in Exp2 to examine the evolution of T R -dependent BOLD activity during nonjittered revelation.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataIn Exp2, behavioral data indicated that most correct recognition responses occurred in steps TR4-7.
“Behavioral data indicated that most correct recognition responses occurred in steps T R 4 -7 (Fig. 1c, shaded bars).”
Quote in the paperSubstantial claim- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
May combine two claims.
Findingown dataThe change in peak values over TR4-7 in sensory ROIs differed from accumulator and recognition ROIs, but there was no difference in peak values over TR4-7 between accumulator and recognition ROIs.
“interactions of T R with region type indicated that the change in peak values over T R 4 -7 in sensory ROIs differed from accumulator (F (2.6,41.1)ϭ 9.64, p Ͻ 0.0001) and recognition (F (2.2,38.0)ϭ 17.59, p Ͻ 0.0001) ROIs.However, there was no difference in peak values over T R 4 -7 between accumulator and recognition ROIs (F (2.7,67.6)ϭ 1.46, p ϭ 0.23).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataROIs in or near bilateral striatum clustered broadly into the recognition group, but their time course parameters were least similar to other ROIs in the group.
“In addition, ROIs in or near bilateral striatum (Ϫ11, ϩ07, ϩ05; ϩ12, ϩ06, ϩ03), near the head of the caudate nucleus, clustered broadly into the recognition group.However, their time course parameters were least similar to other ROIs in the group (supplemental Fig. 2, available at www.jneurosci.org as supplemental material).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPeak times increased as a function of TR in all three region types, and the rate of increase in the sensory ROI group was significantly less than in accumulator and recognition ROI groups.
“Peak times increased as a function of T R in all three region types.The 2 ϫ 4 analyses indicated that the rate of increase in the sensory ROI group was significantly less than in accumulator and recognition ROI groups.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn recognition ROIs, slope values showed neither a main effect of TR nor a significant linear trend.
“The same analysis on data from recognition ROIs (T R 4 -7 means: 0.10, 0.13, 0.10, 0.13) revealed neither a main effect of T R (F (1.9,24.6)ϭ 1.28, p ϭ 0.29) nor a significant linear trend (F (1,13) ϭ 0.57, p ϭ 0.46).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 3x4 ANOVA of peak times revealed a significant main effect of TR and an interaction of TR with region type.
“The 3 ϫ 4 ANOVA with three levels of region type revealed a significant main effect of T R (F (2.8,81.0)ϭ 225.62, p Ͻ 0.0001) and an interaction of T R with region type (F (5.6,81.0)ϭ 8.06, p Ͻ 0.0001)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataResponse widths were greatest for sensory ROIs, least for recognition ROIs, and intermediate for accumulator ROIs, and differed significantly across region type.
“The principle result from this analysis was that response widths, which were greatest for sensory ROIs, least for recognition ROIs, and intermediate for accumulator ROIs, differed significantly across region type.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn other regions near the angular gyrus and the precuneus, activity appeared to decrease at a rate corresponding with TR.
“In other regions near the angular gyrus and the precuneus (Fig. 4d), activity appeared to decrease at a rate corresponding with T R .”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn accumulator regions, when recognition occurred early in the trial, the leading edge of activity followed a steep slope; as recognition time increased, the slope became shallower.
“For instance, when recognition occurred early in the trial, the leading edge of activity followed a steep slope.As recognition time increased, however, the slope became shallower, suggesting a longer diffusion process.”
Quote in the paperSubstantial claim- Rests on an assumption: The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
May combine two claims.
Findingown dataOnset values at different TRs did not differ in sensory ROIs and did not reliably follow a linear trend across TR4-7.
“According to these analyses, onset values at different T R s did not differ in sensory ROIs (F (1.3,5.4)ϭ 1.67, p ϭ 0.26) and did not reliably follow a linear trend across T R 4 -7 (F (1,4) ϭ 1.04, p ϭ 0.37).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBOLD responses in bilateral aI/fO, dorsal ACC, meFG/pre-SMA, and thalamus were markedly more transient, with onsets and peaks that appeared to correlate positively with TR.
“In contrast, BOLD responses in bilateral aI/fO (Fig. 4f ), dorsal ACC, meFG/pre-SMA (Fig. 4e), and thalamus were markedly more transient, with onsets and peaks that appeared to correlate positively with T R .”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn accumulator ROIs, slope values showed a main effect of TR and a significant linear trend.
“This analysis revealed a main effect of T R (F (2.1,25.7)ϭ 6.15, p Ͻ 0.01) and a significant linear trend (F (1,12) ϭ 8.91, p Ͻ 0.05).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 3x4 ANOVA of onset times revealed a significant main effect of TR and a significant interaction of TR with region type.
“The 3 ϫ 4 ANOVA of onset times with the three region groups revealed a significant main effect of T R (F (2.5,73.4)ϭ 14.47, p Ͻ 0.0001) and a significant interaction of T R with region type (F (5.1,73.4)ϭ 10.91, p Ͻ 0.0001)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe current results do not directly differentiate among these possibilities but do temporally dissociate processes occurring at the moment of recognition and the subsequent verification of that recognition.
“The current results do not directly differentiate among these possibilities but do temporally dissociate processes occurring at the moment of recognition and the subsequent verification of that recognition.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe absence of a clear response at VoA supports the view that meFG/pre-SMA function is not directly related to action planning or execution, because the motor demand at VoA did not produce a marked change in signal in meFG/pre-SMA.
“The absence of a clear response at VoA supports this view, because the motor demand at VoA did not produce a marked change in signal in meFG/pre-SMA.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationThe relationship between neuronal activity and choice outcome indicates that neural processors compute behavioral decision variables by integrating afferent inputs over time.
“The relationship between neuronal activity and choice outcome indicates that neural processors compute behavioral decision variables by integrating afferent inputs over time (Hanes and Schall, 1996;Kim and Shadlen, 1999;Platt and Glimcher, 1999;Shadlen and Newsome, 2001;Cook and Maunsell, 2002;Roitman and Shadlen, 2002;Hanks et al., 2006;Gold and Shadlen, 2007).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Hanes and Schall, 1996
Not checked in the free run.
- cites Kim and Shadlen, 1999
Not checked in the free run.
- cites Shadlen and Newsome, 2001 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study did not explicitly model the shape of the hemodynamic response.
“It is important to emphasize that, despite the preceding hypotheses describing eventdependent time course shapes, we did not explicitly model the shape of the hemodynamic response.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationA large body of literature implicates anterior cingulate and frontal opercular regions in decision-making processing.
“A large body of literature on decision making (Bush et al., 2002;Carlson et al., 2006;Grinband et al., 2006;Hampton and O'Doherty, 2007;Thielscher and Pessoa, 2007) implicates anterior cingulate and frontal opercular regions in this type of processing.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bush et al., 2002
Not checked in the free run.
- cites Carlson et al., 2006
Not checked in the free run.
- cites Grinband et al., 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAccumulator models appear to describe the evolution of neural spiking rates in macaque frontal eye fields during initiation of eye movements, lateral intraparietal area and dorsolateral prefrontal cortex during motion detection, and superior colliculus during distance judgments.
“Such models also appear to describe the evolution of neural spiking rates in macaque frontal eye fields during initiation of eye movements (Hanes and Schall, 1996), the lateral intraparietal area (Shadlen and Newsome, 2001) and dorsolateral prefrontal cortex (dlPFC) (Kim and Shadlen, 1999) during motion detection, and superior colliculus during distance judgments (Ratcliff et al., 2003).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Hanes and Schall, 1996
Not checked in the free run.
- cites Shadlen and Newsome, 2001 source
Not checked in the free run.
- cites Kim and Shadlen, 1999
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe two motor ROIs were merged before extracting time courses for TR4-7 to increase power.
“Time courses from the two ROIs were highly similar, so to increase power we merged the ROIs before extracting time courses for T R 4 -7.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningA second response at the end of the trial, when the stimulus was fully revealed, verified the accuracy of earlier recognition.
“A second response at the end of the trial, when the stimulus was fully revealed, verified the accuracy (VoA) of earlier recognition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationResponse hand was counterbalanced across participants to help factor out basic lateralized motor signals in group analyses.
“To help factor out basic lateralized motor signals in group analyses, response hand was counterbalanced across participants (Thielscher and Pessoa, 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Thielscher and Pessoa, 2007
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationAccumulator models have proven highly effective in describing human performance in recognition memory, lexical decisions, economic decisions, and sensory discriminations.
“Accumulator models have proven highly effective in describing human performance in recognition memory, lexical decisions, economic decisions, and sensory discriminations (Ratcliff, 1978;Busemeyer, 1985;Bundesen, 1990;Nosofsky and Palmeri, 1997;Ratcliff and Rouder, 1998;Logan and Gordon, 2001;Ratcliff et al., 2004;Gold and Shadlen, 2007).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Ratcliff, 1978
Not checked in the free run.
- cites Busemeyer, 1985
Not checked in the free run.
- cites Bundesen, 1990
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningImaging analyses focused on correct TR4-7 trials to maximize power.
“To maximize power, imaging analyses focused on correct T R 4 -7 trials.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationAccumulator models describe evidence gathering as a gradual process in which evidence supporting different choices accrues over time.
“Accumulator models (Audley and Pike, 1965;Link and Heath, 1975;Ratcliff, 1978;Ratcliff and McKoon, 1982;Smith and Vickers, 1988;Usher and McClelland, 2001) describe evidence gathering as a gradual process in which evidence supporting different choices accrues over time.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Audley and Pike, 1965
Not checked in the free run.
- cites Link and Heath, 1975
Not checked in the free run.
- cites Ratcliff, 1978
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningVoA served as one method to control for motor activity occurring at the time of recognition.
“Because we were primarily interested in studying decision processes, VoA served as one method to control for motor activity occurring at T R .”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenComparing TR and VoA events in Exp1 reduced the probability that ROIs would be related to motor processing.
“First, comparing T R and VoA events in Exp1 reduced the probability that ROIs would be related to motor processing.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll F and p values of repeated measures incorporate the Greenhouse-Geisser sphericity correction to adjust the degrees of freedom.
“All F and p values of repeated measures incorporate the Greenhouse-Geisser sphericity correction to adjust the degrees of freedom.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataRegions demonstrating accumulation may compute decision variables, such that the quantity of accrued activity is associated with decision outcome.
“Regions demonstrating accumulation may compute decision variables, such that the quantity of accrued activity is associated with decision outcome.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCertain visible elements (e.g., geons) provide a higher degree of object level information than straight lines.
“For example, certain visible elements (e.g., geons) provide a higher degree of object level information than straight lines (Biederman, 1987).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Biederman, 1987
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningThe degree to which the TR-dependent buildup in activity reflects evidence accumulation per se is not clear from the data.
“Thus, the degree to which the T Rdependent buildup in activity reflects”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSome objects may have been identified earlier in the trial because more critically identifiable features were unmasked earlier.
“That is, some objects may have been identified earlier in the trial because more critically identifiable features were unmasked earlier.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationIn Ratcliff's two-choice diffusion model, evidence is accumulated in a drift parameter and decisions are generated when the value of the drift parameter surpasses a response boundary.
“For example, in Ratcliff's two-choice diffusion model (Ratcliff, 1978;Ratcliff et al., 2004), evidence is accumulated in a drift parameter and decisions are generated when the value of the drift parameter surpasses a response boundary.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Ratcliff, 1978
Not checked in the free run.
- cites Ratcliff et al., 2004
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationSeveral studies of recognition memory have reported that IPS and precuneus are most active when participants respond old and least active when they respond new, independently of accuracy.
“Several studies of recognition memory have reported that IPS and precuneus are most active when participants respond”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Wheeler and Buckner, 2003
Not checked in the free run.
- cites Kahn et al., 2004
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Interpretationown dataIn this framework, information processing proceeds through sensory processing and evidence accumulation to decision mechanisms, and culminates in a behavior.
“In this framework, information processing proceeds through sensory processing and evidence accumulation to decision mechanisms, and culminates in a behavior.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe ACC and aI/fO have been associated with aspects of decision making, including choice, error detection, and error likelihood.
“The ACC, and more recently the aI/fO, have both been associated with aspects of decision making, including choice (Hampton and O'Doherty, 2007;Thielscher and Pessoa, 2007), error detection (Dehaene et al., 1994), error likelihood (Brown and Braver, 2005)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Hampton and O'Doherty, 2007
Not checked in the free run.
- cites Dehaene et al., 1994
Not checked in the free run.
- cites Brown and Braver, 2005
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe precise functional relationship between accumulators and moment-of-recognition areas is unknown.
“Despite the finding presented here, the precise functional relationship between accumulators and moment-ofrecognition areas is unknown.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
The data values between any two time points are adequately approximated by a linear fit between those two points.
“Linear interpolation provided a straightforward procedure to quantify time course parameters across a variety of different types of response profile, while making the simple assumption that the data values between any two time points are adequately approximated by a linear fit between those two points.”
The paper relies on this without support.
The time of recognition (TR) button press provides an estimate of the time of recognition.
“This response provided an estimate of the time of recognition (T R ).”
The paper relies on this without support.
The moment of recognition is a discrete event.
“Because the moment of recognition is a discrete event, responses should occur transiently at T R (Fig. 2c).”
The paper relies on this without support.
Accumulation and recognition are inherently associated with TR.
“For example, because accumulation and recognition are inherently associated with T R , the time to peak activity for both should shift in time as a function of T R .”
The paper relies on this without support.
Evidence gathering is a prolonged process.
“Second, because evidence gathering is a prolonged process, time courses associated with accumulation should be more extended in time (i.e., greater width), albeit showing narrower widths than regions related to visual processing.”
The authors state this as an assumption.
Accumulation has a role in integrating information over time.
“First, because of a hypothetical role in integrating information over time, BOLD responses associated with accumulation should increase as soon as information related to a decision becomes available (e.g., earlier onset) (Fig. 2b).”
The paper relies on this without support.
The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
“Subjects pressed a button when they could identify the picture with a reasonable degree of confidence, and again at VoA if earlier recognition had been correct.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In a picture recognition task, areas that exhibited a gradual buildup in activity peaking in correspondence with the time of recognition were the parietal and frontal areas as well as the inferior temporal area.
“In another study (Ploran et al., 2007), as a subject viewed pictures that were revealed from a blank screen gradually in eight steps (2 s each), the areas that exhibited a gradual buildup in activity peaking in correspondence with the time of recognition were the parietal and frontal areas as well as the inferior temporal area.”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Ploran et al., 2007
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Parahippocampal ROI is labeled left in the text and right in the table
MinorThe description of the seven-ROI late-positive cluster places its parahippocampal ROI on the left, whereas the corresponding Table 2 entry labels it right.
“A cluster of seven ROIs located in bilateral posterior occipital cortex, lingual gyrus, and left parahippocampal gyrus displayed an initial decrease in activity”
“(27) R parahippocampal gyrus 19 17 Ϫ52 Ϫ4”
Response-hand counts do not match the Exp1 sample
MinorThe response-hand groups total 13 participants, but the paper says the analysis used Exp1 data, for which it reports 12 participants.
“More specifically, participants were divided into two groups according to response hand (right ϭ 6, left ϭ 7).An ANOVA on Exp1 T R data”
“Of the remaining 25 participants, 12 were run in Exp1 and 13 in Exp2.”
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BackgroundConflict monitoring versus selection-for-action in anterior cingulate cortex
Botvinick, M., Nystrom, L. E., Fissell, K., Carter, C. S., & Cohen, J. D. (1999) · Nature · doi:10.1038/46035 · Cited by 2,044 · cited 2× · see citing works
“, 1998), response conflict/competition (Bush et al., 1998; Botvinick et al., 1999; Botvinick et al., 2001), confidence (Fleck et al.”
BackgroundCluster analysis for researchers
(1987) · Environmental Software · doi:10.1016/0266-9838(87)90010-4 · Cited by 1,850 · see citing works
Analysis of functional MRI time‐series
Friston, K. J., Jezzard, P., & Turner, R. (1994) · Human Brain Mapping · doi:10.1002/hbm.460010207 · Cited by 1,835 · cited 2× · see citing works
“Preprocessed data were analyzed at the voxel level using a general linear model (GLM) approach (Friston et al., 1994; Miezin et al., 2000).”
MethodNeural Basis of a Perceptual Decision in the Parietal Cortex (Area LIP) of the Rhesus Monkey
Shadlen, M. N., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.1916 · Cited by 1,755 · cited 8× · see citing works
“In contrast, the neurophysiological findings (Kim and Shadlen, 1999; Shadlen and Newsome, 2001) predict that activity in accumulation regions will begin early in the trial and continue to increase at a TR-dependent rate.”
BackgroundResultInfluentialNeural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721 · cited 4× · see citing works
“…that neural processors compute behavioral decision variables by integrating afferent inputs over time (Hanes and Schall, 1996; Kim and Shadlen, 1999; Platt and Glimcher, 1999; Shadlen and Newsome, 2001; Cook and Maunsell, 2002; Roitman and Shadlen, 2002; Hanks et al., 2006; Gold and Shadlen, 2007).”
BackgroundResultInfluentialBundesen, C. (1990) · Psychological Review · doi:10.1037/0033-295x.97.4.523 · Cited by 1,708 · cited 2× · see citing works
“…in describing human performance in recognition memory, lexical decisions, economic decisions, and sensory discriminations (Ratcliff, 1978; Busemeyer, 1985; Bundesen, 1990; Nosofsky and Palmeri, 1997; Ratcliff and Rouder, 1998; Logan and Gordon, 2001; Ratcliff et al., 2004; Gold and Shadlen, 2007).”
BackgroundRoitman, J. D., & Shadlen, M. N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-21-09475.2002 · Cited by 1,589 · cited 2× · see citing works
“…that neural processors compute behavioral decision variables by integrating afferent inputs over time (Hanes and Schall, 1996; Kim and Shadlen, 1999; Platt and Glimcher, 1999; Shadlen and Newsome, 2001; Cook and Maunsell, 2002; Roitman and Shadlen, 2002; Hanks et al., 2006; Gold and Shadlen, 2007).”
BackgroundModeling Response Times for Two-Choice Decisions
Ratcliff, R., & Rouder, J. N. (1998) · Psychological Science · doi:10.1111/1467-9280.00067 · Cited by 1,478 · see citing works
Localization of Cognitive Operations in the Human Brain
Posner, M. I., Petersen, S. E., Fox, P. T., & Raichle, M. E. (1988) · Science · doi:10.1126/science.3289116 · Cited by 1,429 · cited 2× · see citing works
“, 2003), attention for action (Posner et al., 1988; Posner and Petersen, 1990; Bush et al., 1998), response conflict/competition (Bush et al.”
BackgroundSelf-citationNeurophysiological Architecture of Functional Magnetic Resonance Images of Human Brain
Salvador, R. M., John Suckling, A., Coleman, M. R., Pickard, J. D., Menon, D. K., & Bullmore, E. T. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi016 · Cited by 1,334 · cited 1× · see citing works
“To objectively identify such areas (from other response profiles), we used hierarchical cluster analysis (Cordes et al., 2002; Salvador et al., 2005; Dosenbach et al., 2007) to classify the time course profiles in the 73 Exp1 regions of interest (ROI).”
MethodLocalization of a Neural System for Error Detection and Compensation
Dehaene, S., Posner, M. I., & Tucker, D. M. (1994) · Psychological Science · doi:10.1111/j.1467-9280.1994.tb00630.x · Cited by 1,255 · cited 3× · see citing works
“…both been associated with aspects of decision making, including choice (Hampton and O’Doherty, 2007; Thielscher and Pessoa, 2007), error detection (Dehaene et al., 1994), error likelihood (Brown and Braver, 2005), reward evaluation (Rogers et al., 1999; Sanfey et al., 2003), attention for action…”
BackgroundInfluentialPicard, N., & Strick, P. L. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(01)00266-5 · Cited by 1,184 · cited 2× · see citing works
“The precise role of meFG/ pre-SMA is unclear, although its function does not appear to be directly related to action planning or execution (Picard and Strick, 2001).”
BackgroundNeural Control of Voluntary Movement Initiation
Hanes, D. P., & Schall, J. D. (1996) · Science · doi:10.1126/science.274.5286.427 · Cited by 1,145 · cited 4× · see citing works
“…accumulation of BOLD activity observed in these regions is consistent with the buildup of neural activity found in studies of nonhuman primates making perceptual decisions (Hanes and Schall, 1996; Kim and Shadlen, 1999; Platt and Glimcher, 1999; Shadlen and Newsome, 2001; Ratcliff et al., 2003).”
BackgroundResultInfluentialDorsal anterior cingulate cortex: A role in reward-based decision making
Bush, G., Vogt, B. A., Holmes, J., Dale, A. M., Greve, D., Jenike, M. A., & Rosen, B. R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012470999 · Cited by 1,096 · cited 1× · see citing works
“A large body of literature on decision making (Bush et al., 2002; Carlson et al., 2006; Grinband et al., 2006; Hampton and O’Doherty, 2007; Thielscher and Pessoa, 2007) implicates anterior cingulate and frontal opercular regions in this type of processing.”
BackgroundMiezin, F. M., Maccotta, L., Ollinger, J., Petersen, S., & Buckner, R. (2000) · NeuroImage · doi:10.1006/nimg.2000.0568 · Cited by 1,033 · cited 1× · see citing works
“Preprocessed data were analyzed at the voxel level using a general linear model (GLM) approach (Friston et al., 1994; Miezin et al., 2000).”
MethodSelf-citationSelective averaging of rapidly presented individual trials using fMRI
Dale, A. M., & Buckner, R. L. (1997) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1997)5:5 · Cited by 1,028 · see citing works
Neural Activity When People Solve Verbal Problems with Insight
Beeman, M. J., Bowden, E. M., Haberman, J. M., Frymiare, J. L., Arambel-Liu, S., Greenblatt, R. E., Reber, P. J., & Kounios, J. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020097 · Cited by 1,025 · see citing works
Rossion, B., & Pourtois, G. (2004) · Perception · doi:10.1068/p5117 · Cited by 978 · cited 2× · see citing works
“The pictures were 233 grayscale images (Rossion and Pourtois, 2004) reformatted into a standard 284 x 284 pixel image with a white background.”
MethodThe neural basis of functional brain imaging signals
Attwell, D., & Iadecola, C. (2002) · Trends in Neurosciences · doi:10.1016/s0166-2236(02)02264-6 · Cited by 957 · see citing works
Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque
Kim, J.-N., & Shadlen, M. N. (1999) · Nature Neuroscience · doi:10.1038/5739 · Cited by 950 · cited 5× · see citing works
“In contrast, the neurophysiological findings (Kim and Shadlen, 1999; Shadlen and Newsome, 2001) predict that activity in accumulation regions will begin early in the trial and continue to increase at a TR-dependent rate.”
BackgroundInfluentialLearned predictions of error likelihood in the anterior cingulate cortex
Brown, J. W., & Braver, T. S. (2005) · Science · doi:10.1126/science.1105783 · Cited by 928 · cited 2× · see citing works
“…making, including choice (Hampton and O’Doherty, 2007; Thielscher and Pessoa, 2007), error detection (Dehaene et al., 1994), error likelihood (Brown and Braver, 2005), reward evaluation (Rogers et al., 1999; Sanfey et al., 2003), attention for action (Posner et al., 1988; Posner and…”
BackgroundParasuraman, R. (1998) · Cited by 917 · see citing works
Representation of Perceived Object Shape by the Human Lateral Occipital Complex
Kourtzi, Z., & Kanwisher, N. (2001) · Science · doi:10.1126/science.1061133 · Cited by 903 · cited 1× · see citing works
“We found accumulator patterns of response in ROIs in bilateral occipital lobes, fusiform gyrus near lateral occipital complex (Kourtzi and Kanwisher, 2001), dlPFC, and PPL (Fig.”
BackgroundComputational cluster validation in post-genomic data analysis
Handl, J., Knowles, J. D., & Kell, D. B. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti517 · Cited by 900 · cited 6× · see citing works
“Thus, the cophenetic r when using UPGMA will always be greater than or equal to the cophenetic r when using single or complete linkage (Handl et al., 2005).”
MethodInfluentialNeural computations that underlie decisions about sensory stimuli
Gold, J. I., & Shadlen, M. N. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01567-9 · Cited by 881 · see citing works
Rogers, R. D., Owen, A. M., Middleton, H. C., Williams, E., Pickard, J. D., Sahakian, B. J., & Robbins, T. W. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-20-09029.1999 · Cited by 865 · cited 2× · see citing works
“, 1994), error likelihood (Brown and Braver, 2005), reward evaluation (Rogers et al., 1999; Sanfey et al., 2003), attention for action (Posner et al.”
BackgroundExecutive control of visual attention in dual-task situations.
Logan, G. D., & Gordon, R. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.393 · Cited by 745 · cited 2× · see citing works
“Accumulator models have proven highly effective in describing human performance in recognition memory, lexical decisions, economic decisions and sensory discriminations (Ratcliff, 1978; Busemeyer, 1985; Bundesen, 1990; Nosofsky and Palmeri, 1997; Ratcliff and Rouder, 1998; Logan and Gordon, 2001; Ratcliff et al., 2004…”
BackgroundIntuition in insight and noninsight problem solving
Metcalfe, J., & Wiebe, D. (1987) · Memory & Cognition · doi:10.3758/bf03197722 · Cited by 743 · see citing works
A general mechanism for perceptual decision-making in the human brain
Heekeren, H. R., Marrett, S., Bandettini, P. A., & Ungerleider, L. G. (2004) · Nature · doi:10.1038/nature02966 · Cited by 741 · cited 1× · see citing works
“Although such work has been conducted extensively in nonhuman primates, very little has been done to identify the neural mechanisms of evidence accumulation in human decision making (Heekeren et al., 2004).”
BackgroundOjemann, J. G., Akbudak, E., Snyder, A. Z., McKinstry, R. C., Raichle, M. E., & Conturo, T. E. (1997) · NeuroImage · doi:10.1006/nimg.1997.0289 · Cited by 699 · cited 2× · see citing works
“…rotation and translation algorithm (Snyder, 1996), (2) whole-brain normalization to a common mode of 1000 to allow for comparisons across subjects (Ojemann et al., 1997), and (3) temporal realignment using sinc interpolation of all slices to the temporal midpoint of the first slice, accounting…”
BackgroundMethodThe effect of stimulus strength on the speed and accuracy of a perceptual decision
Palmer, J., Huk, A. C., & Shadlen, M. N. (2005) · Journal of Vision · doi:10.1167/5.5.1 · Cited by 691 · see citing works
Center–periphery organization of human object areas
Levy, I., Hasson, U., Avidan, G., Hendler, T., & Malach, R. (2001) · Nature Neuroscience · doi:10.1038/87490 · Cited by 687 · see citing works
Stochastic Designs in Event-Related fMRI
Friston, K. J., Zarahn, E., Josephs, O., Henson, R. N., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1999.0498 · Cited by 634 · see citing works
A role for neural integrators in perceptual decision making
Mazurek, M. E., Roitman, J. D., Ditterich, J., & Shadlen, M. N. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg097 · Cited by 620 · see citing works
A Diffusion Model Account of the Lexical Decision Task.
Ratcliff, R., Gómez, P., & McKoon, G. (2004) · Psychological Review · doi:10.1037/0033-295x.111.1.159 · Cited by 579 · cited 3× · see citing works
“…in describing human performance in recognition memory, lexical decisions, economic decisions, and sensory discriminations (Ratcliff, 1978; Busemeyer, 1985; Bundesen, 1990; Nosofsky and Palmeri, 1997; Ratcliff and Rouder, 1998; Logan and Gordon, 2001; Ratcliff et al., 2004; Gold and Shadlen, 2007).”
BackgroundMethodFlutter Discrimination: neural codes, perception, memory and decision making
Romo, R., & Salinas, E. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1058 · Cited by 579 · see citing works
Huk, A. C., & Shadlen, M. N. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.4684-04.2005 · Cited by 538 · see citing works
A review of the tip-of-the-tongue experience
Brown, A. S. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.109.2.204 · Cited by 517 · cited 1× · see citing works
“, 1986; for review, see Brown, A.S., 1991). These characteristics may act as evidence for the answer; when enough of these characteristics are accessed, the TOT experience leads the participant to believe the answer is close. For example, Maril et al. (2001) used the conjunction of two descriptors to evoke a third ite…”
MethodA Sequential Theory of Psychological Discrimination
Link, S. W., & Heath, R. A. (1975) · Psychometrika · doi:10.1007/bf02291481 · Cited by 492 · cited 1× · see citing works
“Accumulator models (Audley and Pike, 1965; Link and Heath, 1975; Ratcliff, 1978; Ratcliff and McKoon, 1982; Smith and Vickers, 1988; Usher and McClelland, 2001) describe evidence gathering as a gradual process in which evidence supporting different choices accrues over time.”
BackgroundSchlaggar, B. L., Brown, T. T., Lugar, H. M., Visscher, K. M., Miezin, F. M., & Petersen, S. E. (2002) · Science · doi:10.1126/science.1069464 · Cited by 451 · cited 2× · see citing works
“The ANOVA implementation produces a set of main effect and interaction images determined by the factors in the design (Schlaggar et al., 2002).”
MethodSelf-citationSeparating Processes within a Trial in Event-Related Functional MRI
Ollinger, J. M., Corbetta, M., & Shulman, G. L. (2001) · NeuroImage · doi:10.1006/nimg.2000.0711 · Cited by 445 · cited 6× · see citing works
“, accurate TR7) are associated with the same BOLD response (Ollinger et al., 2001).”
BackgroundMethodInfluentialSpelling and sound: Approaches to the internal lexicon.
Frederiksen, J. R., & Kroll, J. F. (1976) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.2.3.361 · Cited by 441 · see citing works
Functional-anatomic correlates of remembering and knowing
Wheeler, M. E., & Buckner, R. L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.001 · Cited by 434 · cited 1× · see citing works
“…displaying accumulation responses are near parietal “retrieval success” regions identified in episodic memory studies using old/new recognition and source memory tasks (Habib and Lepage, 1999; Konishi et al., 2000; McDermott et al., 2000; Donaldson et al., 2001a,b; Wheeler and Buckner, 2003, 2004).”
Self-citationSeparating Processes within a Trial in Event-Related Functional MRI
Ollinger, J. M., Shulman, G. L., & Corbetta, M. (2001) · NeuroImage · doi:10.1006/nimg.2000.0710 · Cited by 381 · cited 5× · see citing works
“Experiment 2 was designed to evaluate the time course of TR-dependent activity in those regions.”
BackgroundMethodInfluentialFunctional-Neuroanatomic Correlates of Recollection: Implications for Models of Recognition Memory
Kahn, I., Davachi, L., & Wagner, A. D. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.0624-04.2004 · Cited by 380 · see citing works
Ratcliff, R., Cherian, A., & Segraves, M. A. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01049.2002 · Cited by 374 · cited 4× · see citing works
“…eye fields during initiation of eye movements (Hanes and Schall, 1996), the lateral intraparietal area (Shadlen and Newsome, 2001) and dorsolateral prefrontal cortex (dlPFC) (Kim and Shadlen, 1999) during motion detection, and superior colliculus during distance judgments (Ratcliff et al., 2003).”
BackgroundResultInfluentialHierarchical clustering to measure connectivity in fMRI resting-state data
Cordes, D., Haughton, V. H., Carew, J. D., Arfanakis, K., & Maravilla, K. (2002) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(02)00503-9 · Cited by 367 · cited 1× · see citing works
“To objectively identify such areas (from other response profiles), we used hierarchical cluster analysis (Cordes et al., 2002; Salvador et al., 2005; Dosenbach et al., 2007) to classify the time course profiles in the 73 Exp1 regions of interest (ROI).”
MethodMicrostimulation of macaque area LIP affects decision-making in a motion discrimination task
Hanks, T. D., Ditterich, J., & Shadlen, M. N. (2006) · Nature Neuroscience · doi:10.1038/nn1683 · Cited by 360 · cited 2× · see citing works
“…that neural processors compute behavioral decision variables by integrating afferent inputs over time (Hanes and Schall, 1996; Kim and Shadlen, 1999; Platt and Glimcher, 1999; Shadlen and Newsome, 2001; Cook and Maunsell, 2002; Roitman and Shadlen, 2002; Hanks et al., 2006; Gold and Shadlen, 2007).”
BackgroundFeeling of knowing in memory and problem solving.
Metcalfe, J. (1986) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.12.2.288 · Cited by 349 · see citing works
Ratcliff, R. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196283 · Cited by 339 · cited 1× · see citing works
“This model with the steady drift rate that continued beyond stimulus extinction also fit data from a brightness discrimination task (Ratcliff, 2002).”
MethodPeriodicity and Firing Rate As Candidate Neural Codes for the Frequency of Vibrotactile Stimuli
Salinas, E., Hernández, A., Zainos, A., & Romo, R. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-14-05503.2000 · Cited by 333 · cited 1× · see citing works
“or vibration frequency (Hernandez et al., 2000; Salinas et al., 2000 ) of tactile stimuli.”
BackgroundA Neural Representation of Categorization Uncertainty in the Human Brain
Grinband, J., Hirsch, J., & Ferrera, V. P. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.032 · Cited by 330 · cited 3× · see citing works
“A large body of literature on decision making (e.g., Bush et al., 2002; Carlson et al., 2006; Grinband et al., 2006; Hampton and O'Doherty, 2007; Thielscher and Pessoa, 2007) implicates anterior cingulate and frontal opercular regions in this type of”
BackgroundFunctional Dissociation among Components of Remembering: Control, Perceived Oldness, and Content
Wheeler, M. E., & Buckner, R. L. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-09-03869.2003 · Cited by 327 · cited 2× · see citing works
“Several studies of recognition memory have reported that IPS and precuneus are most active when participants respond “old” and least active when they respond “new,” independently of accuracy (Wheeler and Buckner, 2003; Kahn et al., 2004).”
BackgroundSelf-citationDynamics of neuronal responses in macaque MT and VIP during motion detection
Cook, E. P., & Maunsell, J. H. R. (2002) · Nature Neuroscience · doi:10.1038/nn924 · Cited by 289 · cited 2× · see citing works
“…that neural processors compute behavioral decision variables by integrating afferent inputs over time (Hanes and Schall, 1996; Kim and Shadlen, 1999; Platt and Glimcher, 1999; Shadlen and Newsome, 2001; Cook and Maunsell, 2002; Roitman and Shadlen, 2002; Hanks et al., 2006; Gold and Shadlen, 2007).”
BackgroundMemory for proper names: Age differences in retrieval
Cohen, G. M., & Faulkner, D. M. (1986) · British Journal of Developmental Psychology · doi:10.1111/j.2044-835x.1986.tb01010.x · Cited by 289 · see citing works
Neural Correlates of Episodic Retrieval Success
Konishi, S., Wheeler, M. E., Donaldson, D. I., & Buckner, R. L. (2000) · NeuroImage · doi:10.1006/nimg.2000.0614 · Cited by 288 · cited 2× · see citing works
“It is worth noting that some parietal regions displaying accumulation responses are near parietal “retrieval success” regions identified in episodic memory studies using old/new recognition and source memory tasks (Habib and Lepage, 1999; Konishi et al., 2000; McDermott et al., 2000; Donaldson et al., 2001a,b; Wheeler…”
BackgroundSelf-citationDecoding the neural substrates of reward-related decision making with functional MRI
Hampton, A. N., & O’Doherty, J. P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606297104 · Cited by 279 · cited 2× · see citing works
“A large body of literature on decision making (Bush et al., 2002; Carlson et al., 2006; Grinband et al., 2006; Hampton and O’Doherty, 2007; Thielscher and Pessoa, 2007) implicates anterior cingulate and frontal opercular regions in this type of processing.”
BackgroundAn Exemplar-Based Random Walk Model of Speeded Classification
Nosofsky, R., & Palmeri, T. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.266 · Cited by 271 · see citing works
A modality‐independent approach to spatial normalization of tomographic images of the human brain
Lancaster, J. L., Glass, T. G., Lankipalli, B. R., Downs, H., Mayberg, H. S., & Fox, P. T. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030305 · Cited by 256 · cited 2× · see citing works
“Atlas registration involved aligning each subject’s T1-weighted image to a custom atlas-transformed (Lancaster et al., 1995) target T1-weighted template using a series of affine transforms (Michelon et al.”
MethodMaril, A., Wagner, A. D., & Schacter, D. L. (2001) · Neuron · doi:10.1016/s0896-6273(01)00396-8 · Cited by 235 · see citing works
Dissociating State and Item Components of Recognition Memory Using fMRI
Donaldson, D. I., Petersen, S. E., Ollinger, J. M., & Buckner, R. L. (2001) · NeuroImage · doi:10.1006/nimg.2000.0664 · Cited by 233 · cited 1× · see citing works
“…displaying accumulation responses are near parietal “retrieval success” regions identified in episodic memory studies using old/new recognition and source memory tasks (Habib and Lepage, 1999; Konishi et al., 2000; McDermott et al., 2000; Donaldson et al., 2001a,b; Wheeler and Buckner, 2003, 2004).”
Self-citationFleck, M. S. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj097 · Cited by 228 · cited 2× · see citing works
“, 2001), confidence (Fleck et al., 2006), and uncertainty (Grinband et al.”
BackgroundThe accumulator model of two-choice discrimination
Smith, P. L., & Vickers, D. (1988) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(88)90043-0 · Cited by 223 · cited 1× · see citing works
“Accumulator models (Audley and Pike, 1965; Link and Heath, 1975; Ratcliff, 1978; Ratcliff and McKoon, 1982; Smith and Vickers, 1988; Usher and McClelland, 2001) describe evidence gathering as a gradual process in which evidence supporting different choices accrues over time.”
BackgroundNeuronal correlates of sensory discrimination in the somatosensory cortex
Hernández, A., Zainos, A., & Romo, R. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.120018597 · Cited by 210 · cited 1× · see citing works
“, 2001) or vibration frequency (Hernandez et al., 2000; Salinas et al., 2000) of tactile stimuli. Pruett et al. (2001) swiped plastic squares with groove patterns across the fingertip of a restrained monkey.”
BackgroundBusemeyer, J. R. (1985) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.11.3.538 · Cited by 203 · see citing works
Neural Correlates of Perceptual Choice and Decision Making during Fear–Disgust Discrimination
Thielscher, A., & Pessoa, L. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3024-06.2007 · Cited by 168 · cited 3× · see citing works
“A large body of literature on decision making (Bush et al., 2002; Carlson et al., 2006; Grinband et al., 2006; Hampton and O’Doherty, 2007; Thielscher and Pessoa, 2007) implicates anterior cingulate and frontal opercular regions in this type of processing.”
BackgroundMethodThe effects of visual object priming on brain activation before and after recognition
James, T. W., Humphrey, G. K., Gati, J. S., Menon, R. S., & Goodale, M. A. (2000) · Current Biology · doi:10.1016/s0960-9822(00)00655-2 · Cited by 164 · cited 1× · see citing works
“We used functional magnetic resonance imaging (fMRI) to study accumulation and decision making in an extended perceptual recognition task (James et al., 2000; Carlson et al., 2006).”
MethodMcDermott, K. B., Jones, T. C., Petersen, S. E., Lageman, S. K., & Roediger, H. L., III (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137503 · Cited by 156 · cited 2× · see citing works
“It is worth noting that some parietal regions displaying accumulation responses are near parietal “retrieval success” regions identified in episodic memory studies using old/new recognition and source memory tasks (Habib and Lepage, 1999; Konishi et al., 2000; McDermott et al., 2000; Donaldson et al., 2001a,b; Wheeler…”
BackgroundSelf-citationSOME ALTERNATIVE STOCHASTIC MODELS OF CHOICE1
Audley, R., & Pike, A. (1965) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1965.tb00342.x · Cited by 147 · cited 1× · see citing works
“Accumulator models (Audley and Pike, 1965; Link and Heath, 1975; Ratcliff, 1978; Ratcliff and McKoon, 1982; Smith and Vickers, 1988; Usher and McClelland, 2001) describe evidence gathering as a gradual process in which evidence supporting different choices accrues over time.”
BackgroundDissociating Memory Retrieval Processes Using fMRI
Donaldson, D. I., Petersen, S. E., & Buckner, R. L. (2001) · Neuron · doi:10.1016/s0896-6273(01)00429-9 · Cited by 137 · cited 1× · see citing works
“…displaying accumulation responses are near parietal “retrieval success” regions identified in episodic memory studies using old/new recognition and source memory tasks (Habib and Lepage, 1999; Konishi et al., 2000; McDermott et al., 2000; Donaldson et al., 2001a,b; Wheeler and Buckner, 2003, 2004).”
Self-citationDifference Image vs Ratio Image Error Function Forms in PET—PET Realignment
Snyder, A. Z. (1996) · Elsevier eBooks · doi:10.1016/b978-012389760-2/50028-1 · Cited by 130 · see citing works
The Neural Structures Expressing Perceptual Hysteresis in Visual Letter Recognition
Kleinschmidt, A. K., Büchel, C., Hutton, C., Friston, K. J., & Frackowiak, R. S. J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00694-3 · Cited by 124 · cited 2× · see citing works
“Interestingly, in an fMRI study with human participants, Kleinschmidt et al. (2002) used a perceptual task capable of inducing hysteresis and found right lateralized frontal and parietal, and bilateral occipital/temporal areas in which activity increases were related to a perceptual pop-out effect…”
BackgroundBusemeyer, J. R. (1985) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.11.3.538 · Cited by 123 · cited 2× · see citing works
“…effective in describing human performance in recognition memory, lexical decisions, economic decisions, and sensory discriminations (Ratcliff, 1978; Busemeyer, 1985; Bundesen, 1990; Nosofsky and Palmeri, 1997; Ratcliff and Rouder, 1998; Logan and Gordon, 2001; Ratcliff et al., 2004; Gold and…”
BackgroundTransient BOLD responses at block transitions
Fox, M. D., Snyder, A. Z., Barch, D. M., Gusnard, D. A., & Raichle, M. E. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.025 · Cited by 122 · cited 2× · see citing works
“, 1995) target T1-weighted template using a series of affine transforms (Michelon et al., 2003; Fox et al., 2005).”
BackgroundMethodCluster Analysis (3rd Edition)
Percy, D. F. (1994) · Journal of the Operational Research Society · doi:10.1057/jors.1994.128 · Cited by 121 · see citing works
A diffusion model of perceptual memory
Kinchla, R. A., & Smyzer, F. (1967) · Perception & Psychophysics · doi:10.3758/bf03212471 · Cited by 119 · see citing works
Cluster size thresholds for assessment of significant activation in fMRI
McAvoy, M. P., Ollinger, J. M., & Buckner, R. (2001) · NeuroImage · doi:10.1016/s1053-8119(01)91541-1 · Cited by 118 · see citing works
Neural correlates of incongruous visual informationAn event-related fMRI study
Michelon, P., Snyder, A. Z., Buckner, R. L., McAvoy, M. P., & Zacks, J. M. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00111-3 · Cited by 102 · cited 2× · see citing works
“, 1995) target T1-weighted template using a series of affine transforms (Michelon et al., 2003; Fox et al., 2005).”
BackgroundMethodA decision model for accuracy and response latency in recognition memory.
Hockley, W. E., & Murdock, B. B. (1987) · Psychological Review · doi:10.1037/0033-295x.94.3.341 · Cited by 95 · see citing works
Koriat, A., & Lieblich, I. (1977) · Acta Psychologica · doi:10.1016/0001-6918(77)90032-4 · Cited by 83 · see citing works
Evidence for Separate Perceptual Reactivation and Search Processes during Remembering
Wheeler, M. E., Shulman, G. L., Buckner, R. L., Miezin, F. M., Velanova, K., & Petersen, S. E. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj037 · Cited by 76 · cited 2× · see citing works
“Functional ROI volumes were defined by growing regions around peak voxels using algorithms developed by Abraham Snyder (Wheeler et al., 2006).”
MethodSelf-citationThe Timing of Perceptual Decisions for Ambiguous Face Stimuli in the Human Ventral Visual Cortex
McKeeff, T. J., & Tong, F. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhk015 · Cited by 75 · see citing works
Within word structure in the tip-of-the-tongue phenomenon
Rubin, D. C. (1975) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(75)80018-1 · Cited by 73 · see citing works
Speed and accuracy in the processing of false statements about semantic information.
Ratcliff, R., & McKoon, G. (1982) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.8.1.16 · Cited by 62 · see citing works
Dynamics of visual recognition revealed by fMRI
Carlson, T. A., Grol, M. J., & Verstraten, F. A. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.059 · Cited by 38 · cited 4× · see citing works
“, mask degradation remains constant but areas revealed change from step to step) because we could readily map the quantity of stimulus input onto neural activity as a linear increase across the trial (Carlson et al., 2006).”
BackgroundMethodInfluentialNeural Correlates for Roughness Choice in Monkey Second Somatosensory Cortex (SII)
Pruett, J. R., Sinclair, R. J., & Burton, H. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.2069 · Cited by 37 · cited 1× · see citing works
“Similarly, areas of primary and secondary somatosensory cortex were found to modulate firing rate according to the impending discrimination of either the roughness (Pruett et al., 2001) or vibration frequency (Hernandez et al.”
BackgroundThe cognitive neurosciences, 3rd edition
Gazzaniga, M. S. (2004) · Cited by 22 · see citing works
PRESENT STATUS OF COMBINED RADIATION THERAPY AND CHEMOTHERAPY.
Kligerman, M. M. (1965) · PubMed · Cited by 3 · see citing works
Bush (1998) · doi:10.1002/(sici)1097-0193(1998)6:4
Flagged first, then by citations
3 of the 109 references couldn’t be matched to a known paper.
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How do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657 · see citing works
The attention system of the human brain: 20 years after
Petersen, S. E., & Posner, M. I. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150525 · Cited by 3,439 · see citing works
Self-citationA dual-networks architecture of top-down control
Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.01.001 · Cited by 1,931 · see citing works
“Consistent with our data, several other fMRI studies have also associated the aPFC, dACC/ msFC and aI/fO with important task control functions [24,27,33,36,40].”
BackgroundResultSelf-citationThe neural systems that mediate human perceptual decision making
Heekeren, H. R., Marrett, S., & Ungerleider, L. G. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2374 · Cited by 877 · see citing works
Marek, S., & Dosenbach, N. U. F. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/smarek · Cited by 836 · see citing works
Langner, R., & Eickhoff, S. B. (2013) · Psychological Bulletin · doi:10.1037/a0030694 · Cited by 746 · see citing works
“Similarly, there is extensive overlap between the VA-related network and regions activated by the sudden recognition of a slowly revealed target (Ploran et al., 2007).”
BackgroundThree systems of insular functional connectivity identified with cluster analysis
Deen, B., Pitskel, N. B., & Pelphrey, K. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq186 · Cited by 716 · see citing works
“…to increase with the degree of difficulty or uncertainty in a decision (Critchley et al. 2001; Grinband et al. 2006; Thielscher and Pessoa 2007), and Ploran et al. (2007) found a spike of activity in this network time-locked to the ‘‘moment of recognition’’ in a perceptual discrimination task.”
BackgroundDecision Making in Recurrent Neuronal Circuits
Wang, X.-J. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.034 · Cited by 679 · see citing works
“In another study (Ploran et al., 2007), as a subject viewed pictures that were revealed from a blank screen gradually in eight steps (2 s each), the areas that exhibited a gradual buildup in activity peaking in correspondence with the time of recognition were the parietal and frontal areas as well…”
BackgroundEmotional moments across time: a possible neural basis for time perception in the anterior insula
Craig, A. D. (. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0008 · Cited by 499 · see citing works
“ness of the percept (Ploran et al. 2007).”
Role of the anterior insula in task-level control and focal attention
Nelson, S. M., Dosenbach, N. U. F., Cohen, A. L., Wheeler, M. E., Schlaggar, B. L., & Petersen, S. E. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0260-2 · Cited by 435 · see citing works
“If in the same experiment, we could demonstrate regions that show clear error-like signals without the recognition-like profile of the Ploran et al. (2007) experiment, these regions could be more unequivocally ascribed to feedback processing rather than recognition per se.”
BackgroundMethodInfluentialSelf-citationThe von Economo neurons in frontoinsular and anterior cingulate cortex in great apes and humans
Allman, J., Tetreault, N. A., Hakeem, A. Y., Manaye, K., Semendeferi, K., Erwin, J., Park, S. Q., Goubert, V., & Hof, P. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0254-0 · Cited by 429 · see citing works
“More recently Ploran et al. (2007) found in an experiment employing a behavioral paradigm in which objects gradually emerge from noise that the activity of anterior insula was strongly linked to the moment when the subjects became aware of the identity of the object (allowing for the delays…”
BackgroundSimmons, W. K., Avery, J. A., Barcalow, J. C., Bodurka, J., Drevets, W. C., & Bellgowan, P. (2013) · Human Brain Mapping · doi:10.1002/hbm.22113 · Cited by 401 · see citing works
“For example, in ‘‘extended reveal’’ paradigms that progressively reveal a stimulus out of visual noise, the anterior insula responds strongly at the moment of recognition when the participant perceives the stimulus as a salient object [Ploran et al., 2007; Wheeler et al., 2008].”
BackgroundHerbert, B. M., Muth, E. R., Pollatos, O., & Herbert, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036646 · Cited by 287 · see citing works
“Likewise, recent data demonstrated that ventral and anterior regions of the insula representing relevant ‘‘interoceptive sites’’ also support processes related to focal attention [76–77].”
ResultVelanova, K., Wheeler, M. E., & Luna, B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn012 · Cited by 277 · see citing works
“…used a novel analytic technique to demonstrate that errorrelated activity in dACC during a stop signal task followed inhibitory failures, in accord with characterization of the region as being involved in postresponse monitoring, evaluation, and adjustment signaling (see also, Ploran et al. 2007).”
MethodSelf-citationHutchinson, J. B., Uncapher, M. R., & Wagner, A. D. (2009) · Learning & Memory · doi:10.1101/lm.919109 · Cited by 277 · see citing works
“2005), as well as with evidence suggesting that regions of IPS accumulate evidence in service of perceptual recognition decisions (Ploran et al. 2007).”
BackgroundMethodThe von Economo neurons in the frontoinsular and anterior cingulate cortex
Allman, J. M., Tetreault, N. A., Hakeem, A. Y., Manaye, K. F., Semendeferi, K., Erwin, J. M., Park, S., Goubert, V., & Hof, P. R. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06011.x · Cited by 280 · see citing works
A common mechanism underlies changes of mind about decisions and confidence
van den Berg, R., Anandalingam, K., Zylberberg, A., Kiani, R., Shadlen, M. N., & Wolpert, D. M. (2016) · eLife · doi:10.7554/elife.12192 · Cited by 270 · see citing works
GLMdenoise: a fast, automated technique for denoising task-based fMRI data
Kay, K., Rokem, A., Winawer, J. A., et al. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00247 · Cited by 230 · see citing works
Perceptual decision neurosciences – A model-based review
Mulder, M., van Maanen, L., & Forstmann, B. U. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.07.031 · Cited by 214 · see citing works
Domain General Mechanisms of Perceptual Decision Making in Human Cortex
Ho, T. C., Brown, S. D., & Serences, J. T. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5984-08.2009 · Cited by 214 · see citing works
“…evidence during vibrotactile decision making (Pleger et al., 2006), increase at the moment of a perceptual decision in an image recognition task (Ploran et al., 2007), and correlate with a non-monotonic RT function during an auditory discrimination task, implying a role in the decision process…”
BackgroundPisauro, M. A., Fouragnan, E. F., Retzler, C., & Philiastides, M. G. (2017) · Nature Communications · doi:10.1038/ncomms15808 · Cited by 217 · see citing works
Frontoparietal and Cingulo-opercular Networks Play Dissociable Roles in Control of Working Memory
Wallis, G., Stokes, M. G., Cousijn, H., Woolrich, M. W., & Nobre, A. C. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00838 · Cited by 204 · see citing works
Fidelity of neural reactivation reveals competition between memories
Kuhl, B. A., Rissman, J., Chun, M. M., & Wagner, A. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016939108 · Cited by 207 · see citing works
“Thus, the degree to which relevant VOTC structures are engaged corresponds to the strength of visual evidence, whether that evidence comes from external inputs that drive current perception (15, 19) or episodic remembering.”
BackgroundCausal Role of Dorsolateral Prefrontal Cortex in Human Perceptual Decision Making
Philiastides, M. G., Auksztulewicz, R., Heekeren, H. R., & Blankenburg, F. (2011) · Current Biology · doi:10.1016/j.cub.2011.04.034 · Cited by 200 · see citing works
“Similarly, results of human neuroimaging studies suggest that the integration of sensory evidence might involve regions of the parietal and prefrontal cortex [8, 9, 13, 22].”
Gratton, C., Sun, H., & Petersen, S. E. (2017) · Psychophysiology · doi:10.1111/psyp.13032 · Cited by 194 · see citing works
Self-citationGluth, S., Rieskamp, J., & Büchel, C. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0727-12.2012 · Cited by 187 · see citing works
“001), we expected to find an earlier and stronger increase of activity (Heekeren et al., 2004; Ploran et al., 2007; Ho et al., 2009).”
BackgroundInfluentialAnterior insula activations in perceptual paradigms: often observed but barely understood
Sterzer, P., & Kleinschmidt, A. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0252-2 · Cited by 183 · see citing works
“One could argue, however, that an earlier activation is not necessarily related to the perceptual decision process itself, but could just as well reflect the perceived stimulus salience at the moment of recognition, in line with the above-mentioned study by Ploran et al. (2007). Together, findings from perceptual deci…”
BackgroundResultThe Putative Visual Word Form Area Is Functionally Connected to the Dorsal Attention Network
Vogel, A. C., Miezin, F. M., Petersen, S. E., & Schlaggar, B. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr100 · Cited by 175 · see citing works
“Numerous studies report activity in this region for nonword and nonletter stimuli (Price and Devlin 2003; Xue et al. 2006; Ben-Shachar et al. 2007; Ploran et al. 2007; Starrfelt and Gerlach 2007; Xue and Poldrack 2007; Kherif et al. 2011; Mei et al. 2010; Van Doren et al. 2010).”
BackgroundSelf-citationFunctional Heterogeneity in Posterior Parietal Cortex Across Attention and Episodic Memory Retrieval
Hutchinson, J. B., Uncapher, M. R., Weiner, K. S., Bressler, D. W., Silver, M. A., Preston, A. R., & Wagner, A. D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs278 · Cited by 167 · see citing works
Technology, expertise and social cognition in human evolution
Stout, D., Passingham, R. E., Frith, C., Apel, J., & Chaminade, T. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07619.x · Cited by 163 · see citing works
“Insular activations unique to Trained subjects are in an anterior region associated with interoception, subjective feeling and perceptual awareness (Kikyo et al., 2002; Ploran et al., 2007; Craig, 2009).”
BackgroundChee, M. W. L., & Tan, J. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.031 · Cited by 168 · see citing works
“The first is that these areas serve as accumulators of evidence for perceptual decision making (Shadlen and Newsome, 2001; Ploran et al., 2007).”
BackgroundPerceptual Decisions Formed by Accumulation of Audiovisual Evidence in Prefrontal Cortex
Noppeney, U., Ostwald, D., & Werner, S. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0455-10.2010 · Cited by 158 · see citing works
“To dissociate accumulation from sustained activity, a recent study has artificially prolonged the period of evidence accumulation by revealing objects gradually in a stepwise fashion (Ploran et al., 2007).”
BackgroundSun, L., Grutzner, C., Bolte, S., Wibral, M., Tozman, T., Schlitt, S., Poustka, F., Singer, W., Freitag, C. M., & Uhlhaas, P. J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1073-12.2012 · Cited by 151 · see citing works
“In controls high gamma-band activity in the face condition was found in a distributed network, such as the temporal cortex and IFG, which have been related to face perception and perceptual decision making (Kanwisher et al., 1997; Ploran et al., 2007).”
BackgroundGherman, S., & Philiastides, M. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.036 · Cited by 144 · see citing works
“…variance N97%), areaswhich have previously been implicated in perceptual decision making and evidence accumulation, both in the human (Heekeren et al., 2006; Ploran et al., 2007; Tosoni et al., 2008) and primate (Kiani and Shadlen, 2009; Kim and Shadlen, 1999; Shadlen and Newsome, 2001) brains.”
BackgroundInfluentialCiaramelli, E., Grady, C. L., Levine, B., Ween, J. E., & Moscovitch, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1209-09.2010 · Cited by 138 · see citing works
“We note, however, that previous research has emphasized the role of intraparietal, not ventral parietal, regions in information accumulation in both memory (Yago and Ishai, 2006; Ploran et al., 2007) and nonmemory domains (Colby and Goldberg, 1999; Platt and Glimcher, 1999).”
ResultThe VWFA: it's not just for words anymore
Vogel, A. C., Petersen, S. E., & Schlaggar, B. L. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00088 · Cited by 133 · see citing works
“…is supported by a number of functional imaging studies (Tagamets et al., 2000; Price and Devlin, 2003; Xue et al., 2006; Ben-Shachar et al., 2007; Ploran et al., 2007; Starrfelt and Gerlach, 2007; Xue and Poldrack, 2007; Mei et al., 2010; Van Doren et al., 2010; Kherif et al., 2011), as well as…”
BackgroundSelf-citationNeural correlates of evidence accumulation in a perceptual decision task
Liu, T., & Pleskac, T. J. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00413.2011 · Cited by 138 · see citing works
Droutman, V., Bechara, A., & Read, S. J. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00309 · Cited by 131 · see citing works
Kelly, S. P., & O’Connell, R. G. (2014) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2014.08.003 · Cited by 128 · see citing works
“Another innovative approach, designed to compensate for the poor temporal resolution of MRI, has been to use tasks in which the sensory evidence is gradually strengthened as the trial progresses and then to identify regions whose BOLD response scales with the evidence time course (Ploran et al., 2007; Ivanoff et al.,…”
Decision Threshold Modulation in the Human Brain
Domenech, P., & Dreher, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2371-10.2010 · Cited by 123 · see citing works
Wang, H., He, W., Wu, J., Zhang, J., Jin, Z., & Li, L. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2019.01.002 · Cited by 117 · see citing works
Learning Shapes the Representation of Behavioral Choice in the Human Brain
Li, S., Mayhew, S. D., & Kourtzi, Z. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.016 · Cited by 117 · see citing works
“Recent work has suggested that these areas accumulate information to the time of recognition (Ploran et al., 2007), support the persistence of a percept (Philiastides and Sajda, 2007), and therefore may contribute to the comparison of sensory evidence during decision making.”
The Functional Anatomy of a Perceptual Decision in the Human Brain
Kayser, A. S., Buchsbaum, B. R., Erickson, D. T., & D’Esposito, M. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00364.2009 · Cited by 118 · see citing works
Ecstatic epileptic seizures: a potential window on the neural basis for human self-awareness.
Picard, F., & Craig, A. (2009) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2009.09.013 · Cited by 115 · see citing works
“Various functional imaging studies have demonstrated that the AIC is uniquely activated during all bodily feelings and all emotional feelings, and in direct correlation with subjective awareness of one’s body and its movements [24–26], with recognition of one’s own image [27], with one’s subjective visual and auditory…”
BackgroundZhang, J., & Rowe, J. B. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00069 · Cited by 110 · see citing works
“…Shadlen, 1999; Shadlen and Newsome, 2001; Roitman and Shadlen, 2002; Schall, 2002; Mazurek et al., 2003; Huk and Shadlen, 2005; Hanks et al., 2006; Gold and Shadlen, 2007) and neuroimage studies (Ploran et al., 2007; Heekeren et al., 2008; Ho et al., 2009; Kayser et al., 2010; Zhang et al., 2012).”
BackgroundNeurophysiology of Human Perceptual Decision-Making
O’Connell, R. G., & Kelly, S. P. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092019-100200 · Cited by 119 · see citing works
Filimon, F., Philiastides, M. G., Nelson, J. D., Kloosterman, N. A., & Heekeren, H. R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2334-12.2013 · Cited by 113 · see citing works
“…dot motion direction decisions (Kayser et al., 2010a,b; Liu and Pleskac, 2011; Rahnev et al., 2011); recognition of gradually revealed objects (Ploran et al., 2007, 2011); categorization of distorted dot-pattern configurations (Vogels et al., 2002); categorical decisions of animated…”
BackgroundHuman Scalp Potentials Reflect a Mixture of Decision-Related Signals during Perceptual Choices
Philiastides, M. G., Heekeren, H. R., & Sajda, P. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3012-14.2014 · Cited by 110 · see citing works
“…of perceptual decisionmaking processing in humans using neuroimaging, such as fMRI, EEG, and MEG (Donner et al., 2007; Philiastides and Sajda, 2007; Ploran et al., 2007; Heekeren et al., 2008; Tosoni et al., 2008; Sajda et al., 2009; Noppeney et al., 2010; Philiastides et al., 2011; Siegel et al.,…”
BackgroundMethodAttentional Load and Attentional Boost: A Review of Data and Theory
Swallow, K. M., & Jiang, Y. V. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00274 · Cited by 110 · see citing works
“However, perceptual processing takes time (Schyns and Oliva, 1994; Ploran et al., 2007) and encoding can be easily disrupted by new input (Breitmeyer and Ganz, 1976; Potter et al., 2004).”
BackgroundSiedlecka, M., Paulewicz, B., & Wierzchoń, M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00218 · Cited by 109 · see citing works
“…neurophysiological and behavioral experiments, as well as from modeling, suggesting that metacognitive judgments could be based on evidence unavailable to a type 1 response (Petrusic and Baranski, 2003; Ploran et al., 2007; Resulaj et al., 2009; Hilgenstock et al., 2014; Graziano et al., 2015).”
BackgroundDistractibility in Daily Life Is Reflected in the Structure and Function of Human Parietal Cortex
Ryota Kanai, C., Dong, M. Y., Bahrami, B., & Rees, G. E. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5864-10.2011 · Cited by 112 · see citing works
“The activity of neuronal populations in parietal cortex correlates with perceptual decisions in nonhuman primates (Shadlen and Newsome, 1996, 2001; Hanks et al., 2006; Kiani and Shadlen, 2009) and human subjects (Heekeren et al., 2004; Ploran et al., 2007; Tosoni et al., 2008; Ho et al., 2009).”
Sestieri, C., Corbetta, M., Spadone, S., Romani, G. L., & Shulman, G. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00504 · Cited by 103 · see citing works
“Using the processGLM, we created group voxelwise statistical maps corresponding to each process in which participant was treated as a random effect.”
Temporal Integration of Olfactory Perceptual Evidence in Human Orbitofrontal Cortex
Bowman, N. E., Kording, K. P., & Gottfried, J. A. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.035 · Cited by 108 · see citing works
“Human imaging studies have begun using simple two-choice tasks to explore the neural substrates of visual perceptual decision-making (Heekeren et al., 2004; Huettel et al., 2005; Ivanoff et al., 2008; Noppeney et al., 2010; Ploran et al., 2007; Tosoni et al., 2008).”
Visual Decision-Making in an Uncertain and Dynamic World
Gold, J. I., & Stocker, A. A. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-111815-114511 · Cited by 100 · see citing works
Emerging Object Representations in the Visual System Predict Reaction Times for Categorization
Ritchie, J. B., Tovar, D. A., & Carlson, T. A. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004316 · Cited by 92 · see citing works
Piercing of Consciousness as a Threshold-Crossing Operation
Kang, Y. H., Petzschner, F. H., Wolpert, D. M., & Shadlen, M. N. (2017) · Current Biology · doi:10.1016/j.cub.2017.06.047 · Cited by 87 · see citing works
“Here, there is substantial evidence that decision termination is mediated by application of a threshold to the neural representation of accumulating evidence [8, 46, 47], and this also holds in experiments that do not allow for free responses, as in our controlled-duration experiment [13, 16, 48].”
Janes, A. C., Farmer, S. L., Peechatka, A. L., Frederick, B. B., & Lukas, S. E. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.9 · Cited by 90 · see citing works
Remember the Source: Dissociating Frontal and Parietal Contributions to Episodic Memory
Donaldson, D. I., Wheeler, M. E., & Petersen, S. E. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21242 · Cited by 89 · see citing works
“One key aspect of decision processing is clearly the detection of errors, and evidence suggests that frontal retrieval success regions are likely to play a role in the overall decision process (see Dosenbach et al., 2006, 2008; Wheeler et al., 2008; Ploran et al., 2007).”
BackgroundSelf-citationHandbook of Reward and Decision Making
Dreher, J., & Tremblay, L. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374620-7.x0001-5 · Cited by 88 · see citing works
Intrinsic Brain Network Biomarkers of Antidepressant Response: a Review
Dunlop, K., Talishinsky, A., & Liston, C. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1072-6 · Cited by 80 · see citing works
Nosofsky, R. M., Little, D. R., & James, T. W. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1111304109 · Cited by 79 · see citing works
“S1, the maps also pointed to other brain regions that past work suggests are associated with criterion setting and evidence accumulation in decision making, including areas of posterior parietal cortex as well as the caudate (27, 28, 31, 32, 34, 35).”
BackgroundThe Left Occipitotemporal Cortex Does Not Show Preferential Activity for Words
Vogel, A. C., Petersen, S. E., & Schlaggar, B. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr295 · Cited by 82 · see citing works
Self-citationRewards and Cognitive Control in the Human Prefrontal Cortex
Duverne, S., & Koechlin, É. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx210 · Cited by 79 · see citing works
Neuroelectromagnetic correlates of perceptual closure processes
Grutzner, C., Uhlhaas, P. J., Genc, E., Kohler, A., Singer, W., & Wibral, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5434-09.2010 · Cited by 77 · see citing works
“This interpretation is in line with a recent study that investigated perceptual recognition processes with fMRI and found that activation of the IFG was related to the moment of recognition (Ploran et al., 2007).”
ResultLeft parietal cortex is modulated by amount of recollected verbal information
Vilberg, K. L., & Rugg, M. D. (2009) · Neuroreport · doi:10.1097/wnr.0b013e3283306798 · Cited by 73 · see citing works
“Of course, this does not mean that other regions (in left superior lateral posterior parietal cortex or elsewhere) may not show the more continuous gradations in retrieval-related activity that would be expected of a region supporting accumulation of generic evidence about the study status of a test item (for e.g., se…”
BackgroundPrior probability and feature predictability interactively bias perceptual decisions
Dunovan, K., Tremel, J. J., & Wheeler, M. E. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.06.024 · Cited by 68 · see citing works
“In addition, human neuroimaging studies have localized patterns of evidence accumulation in the dorsolateral prefrontal cortex (dlPFC) (Bowman, Kording, & Gottfried, 2012; Heekeren, Marrett, Bandettini, & Ungerleider, 2004; Ploran et al., 2007; Philiastides, Auksztulewicz, Heekeren, & Blankenburg, 2011; Ploran, Tremel…”
Self-citationValue judgments and self-control of action: The role of the medial frontal cortex
Seitz, R. J., Franz, M., & Azari, N. P. (2009) · Brain Research Reviews · doi:10.1016/j.brainresrev.2009.02.003 · Cited by 74 · see citing works
Separable responses to error, ambiguity, and reaction time in cingulo-opercular task control regions
Neta, M., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.053 · Cited by 72 · see citing works
“…online at or near the end of the trial, suggesting that these responses serve as feedback into the task set, whereas the signals in the frontoparietal network effects begin early in the trial and may be more related to accumulating information over the course of the trial (Ploran et al., 2007).”
BackgroundInfluentialSelf-citationDrnec, K., Marathe, A., Lukos, J., & Metcalfe, J. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00290 · Cited by 64 · see citing works
“However, there has been evidence from fMRI studies that the human parietal cortex is also involved in accumulating the decision variable (Ploran et al., 2007; Heekeren et al., 2008).”
BackgroundFunctional Fractionation of the Cingulo-opercular Network: Alerting Insula and Updating Cingulate
Han, S. W., Eaton, H. P., & Marois, R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy130 · Cited by 69 · see citing works
“2000; Menon and Uddin 2010) or by behaviorally relevant events (Dosenbach et al. 2006; Ploran et al. 2007; Nelson et al. 2010) is widely accepted.”
BackgroundNeural Responses to Ambiguity Involve Domain-general and Domain-specific Emotion Processing Systems
Neta, M., Kelley, W. M., & Whalen, P. J. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00363 · Cited by 65 · see citing works
“Recent work on perceptual recognition found that activity in the AI/FO region remained near baseline until the moment of recognition, suggesting a relation to the moment of the decision itself (Ploran et al., 2007).”
BackgroundHuman visual and parietal cortex encode visual choices independent of motor plans
Hebart, M. N., Donner, T. H., & Haynes, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.027 · Cited by 62 · see citing works
“…2010; Heekeren et al., 2004, 2006; Ho et al., 2009; Kayser et al., 2010a, 2010b; Kovács et al., 2010; Li et al., 2009; Liu and Pleskac, 2011; Ploran et al., 2007; Tosoni et al., 2008), the vast majority of these studies focused on which brain areas are " active " during the decision process.”
BackgroundNeural Representations of Relevant and Irrelevant Features in Perceptual Decision Making
Kayser, A. S., Erickson, D. T., Buchsbaum, B. R., & D’Esposito, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3163-10.2010 · Cited by 61 · see citing works
“…baseline and also similar to those seen previously (Binder et al., 2004; Grinband et al., 2006; Heekeren et al., 2006; Philiastides and Sajda, 2007; Ploran et al., 2007; Thielscher and Pessoa, 2007; Kayser et al., 2010), including the bilateral IPS, IFS, frontal eye fields (FEFs), and anterior…”
ResultSelection and inhibition mechanisms for human voluntary action decisions
Zhang, J., Hughes, L. E., & Rowe, J. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.058 · Cited by 59 · see citing works
“…method is not limited to the application of action decisions, as similar approaches have been successfully used in previous fMRI studies in understanding analogous accumulation processes during perceptual decisions (Heekeren et al., 2008; Ho et al., 2009; Kayser et al., 2010; Ploran et al., 2007).”
Influentialvan Vugt, M. K., Beulen, M. A., & Taatgen, N. (2019) · Brain Research · doi:10.1016/j.brainres.2019.03.008 · Cited by 57 · see citing works
Decoding the processing of lying using functional connectivity MRI
Jiang, W., Liu, H., Zeng, L., Liao, J., Shen, H., Luo, A., Hu, D., & Wang, W. (2015) · Behavioral and Brain Functions · doi:10.1186/s12993-014-0046-4 · Cited by 61 · see citing works
“The ACC has been implicated in neurobiological models of cognitive control, the inhibition of competing or prepotent responses, the mediation of conflict, and reward and motivation [46,47], particularly in decision making [48-50].”
Church, J. A., Balota, D. A., Petersen, S. E., & Schlaggar, B. L. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21515 · Cited by 58 · see citing works
“…was employed to see if regions segregated into groups on the basis of their profile of time courses for the five conditions (high-frequency words, oneand three-syllable low-frequency words and one- and threesyllable nonwords; Ploran et al., 2007; Salvador et al., 2005; Cordes et al., 2002).”
Self-citationPourtois, G., Spinelli, L., Seeck, M., & Vuilleumier, P. O. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21404 · Cited by 59 · see citing works
“, 2007) and fMRI (Ploran et al., 2007) in healthy subjects suggest that visual recognition involves a progressive accumulation of perceptual evidence before reaching threshold for accurate stimulus identification, which may require more time when stimuli are degraded (see also Thorpe, Fize, & Marlot, 1996).”
BackgroundCategorization=decision making+generalization
Seger, C. A., & Peterson, E. J. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.015 · Cited by 59 · see citing works
“This method has been extended to other perceptual domains, including recognition of simple line drawings (Ploran et al., 2007), detection of net orientation of a set of stimuli (de Lange et al., 2011) and discrimination between two ambiguous visual object classes, e.g. faces versus houses (Heekeren…”
BackgroundMethodInfluentialFunctional Fractionation of the Stimulus-Driven Attention Network
Han, S. W., & Marois, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4975-13.2014 · Cited by 56 · see citing works
Neurocognitive Systems Related to Real-World Prospective Memory
Kalpouzos, G., Eriksson, J., Sjölie, D., Molin, J., & Nyberg, L. H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013304 · Cited by 57 · see citing works
“Third, this region may play the role of a mnemonic accumulator, such that it accumulates evidence until a criterion for the decision-making of recognition is reached [28].”
BackgroundFarr, O. M., Ide, J. S., Luo, X., & Li, C.-S. R. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013155 · Cited by 58 · see citing works
Auditory information enhances post-sensory visual evidence during rapid multisensory decision-making
Franzen, L., Delis, I., De Sousa, G., Kayser, C., & Philiastides, M. G. (2020) · Nature Communications · doi:10.1038/s41467-020-19306-7 · Cited by 57 · see citing works
Functional Brain Networks Underlying Evidence Integration and Delusions in Schizophrenia
Lavigne, K. M., Menon, M., & Woodward, T. S. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz032 · Cited by 55 · see citing works
Decision Making through Integration of Sensory Evidence at Prolonged Timescales
Waskom, M., & Kiani, R. (2018) · Current Biology · doi:10.1016/j.cub.2018.10.021 · Cited by 52 · see citing works
Generalization in Category Learning: The Roles of Representational and Decisional Uncertainty
Seger, C. A., Braunlich, K., Wehe, H. S., & Liu, Z. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0654-15.2015 · Cited by 52 · see citing works
“The IPS has been associated with accumulation of information for perceptual decisions in many functional imaging studies (Ploran et al., 2007, 2011; Kayser et al., 2010; Sestieri et al., 2014).”
MethodYamashita, K.-I., Hirose, S., Kunimatsu, A., Aoki, S., Chikazoe, J., Jimura, K., Masutani, Y., Abe, O., Ohtomo, K., Miyashita, Y., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1328-09.2009 · Cited by 51 · see citing works
“The anterior temporal activation converges with the results of neuropsychological studies showing permanent retrograde amnesia following anterior temporal cortical damage and with the results of neuroimaging studies on semantic knowledge (Kapur et al., 1992; Damasio et al., 1996; Gorno-Tempini et al., 1998; Cabeza and…”
BackgroundResultvan de Ven, V. G., Rotarska-Jagiela, A., Oertel‐Knöchel, V., & Linden, D. E. J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.04.012 · Cited by 52 · see citing works
“The perceptual closure tests included degraded visual objects and word forms, which are processed in inferior temporal areas rather than in early visual cortex (Grützner et al., 2010; Ploran et al., 2007; Sehatpour et al., 2006).”
The neural correlates of visual working memory encoding: A time-resolved fMRI study
Todd, J. J., Han, S. W., Harrison, S. A., & Marois, R. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.01.040 · Cited by 52 · see citing works
The von economo neurons in apes and humans
Allman, J. M., Tetreault, N. A., Hakeem, A. Y., & Park, S. Q. (2011) · American Journal of Human Biology · doi:10.1002/ajhb.21136 · Cited by 57 · see citing works
Ploran, E. J., Tremel, J. J., Nelson, S. M., & Wheeler, M. E. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr055 · Cited by 51 · see citing works
Self-citationNeural evidence for a 3-state model of visual short-term memory
Nee, D. E., & Jonides, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.019 · Cited by 49 · see citing works
“Previous research has demonstrated that similar left VLPFC areas are involved in evidence accumulation in the perceptual domain (Ploran et al., 2007, 2011).”
Sajda, P., Philiastides, M. G., & Parra, L. C. (2009) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2009.2034535 · Cited by 49 · see citing works
“Another recent fMRI study also showed how the fMRI signal can be used to examine the process of accumulation of sensory evidence [40].”
Evolutionary appearance of von Economo’s neurons in the mammalian cerebral cortex
Cauda, F., Geminiani, G. C., & Vercelli, A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00104 · Cited by 48 · see citing works
“Some recent works (Ploran et al., 2007; Craig, 2010; Nelson et al., 2010) directly suggest that the insular cortex may be involved in awareness.”
BackgroundDoubt and the decision-making process in obsessive-compulsive disorder
Nestadt, G., Kamath, V. J., Maher, B. S., Krasnow, J., Nestadt, P. S., Wang, Y., Bakker, A., & SAMUELS, J. F. (2016) · Medical Hypotheses · doi:10.1016/j.mehy.2016.09.010 · Cited by 51 · see citing works
Cortical contributions to impaired contour integration in schizophrenia
Silverstein, S. M., Harms, M. P., Carter, C. S., Gold, J. M., Keane, B. P., MacDonald, A. W., Ragland, J. D., & Barch, D. M. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.07.003 · Cited by 50 · see citing works
“(Ploran et al., 2007; Sun et al., 2012), as was recently shown using a CI task similar to the JOVI in healthy subjects in a study of”
MethodJaeger, A., Konkel, A., & Dobbins, I. G. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.02.018 · Cited by 49 · see citing works
“Additionally, the clear functional dissociations observed in left parietal cortex are consistent with the idea that the region likely subserves highly distinct cognitive processes, a finding which corresponds well with graph analytic techniques also suggesting considerable functional heterogeneity in parietal cortex (…”
Anderson, J. R., Anderson, J. R., Ferris, J. L., Fincham, J. M., & Jung, K. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903953106 · Cited by 51 · see citing works
“There are striking similarities between the patterns found in our data and the patterns reported in studies of perceptual recognition (42, 43).”
ResultFrontoparietal networks involved in categorization and item working memory
Braunlich, K., Gomez‐Lavin, J., & Seger, C. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.051 · Cited by 47 · see citing works
Liu, C.-H., Jing, B., Ma, X., Xu, P., Zhang, Y., Li, F., Wang, Y., Tang, L., Wang, Y.-J., Li, H.-Y., et al. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2013.12.058 · Cited by 46 · see citing works
“…activation (Craig, 2005) and supports the role of the left insular cortex as a pivotal region in higher level cognitive control, attention (Ploran et al., 2007), emotional regulation (Goldin et al., 2008) and emotional processes (Craig, 2003; Critchley et al., 2002; Kong et al., 2006;…”
Background
- Authors
- Ploran, E. J., Nelson, S. M., Velanova, K., Donaldson, D. I., Petersen, S. E., & Wheeler, M. E.
- Affiliations
- University of Pittsburgh (US)
- University of Stirling (GB)
- Washington University in St. Louis (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-10-31
- Volume
- 27
- Issue
- 44
- Pages
- 11912-11924
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6673371
- OpenAlex
- W2088702666
- Semantic Scholar
- b2ebf13336398c29a351cdf865bce9504f95a246
- Cited by
- 282
- References
- 109
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 7 · 2023: 7 · 2022: 13 · 2021: 10 · 2020: 7 · 2019: 14 · 2018: 15 · 2017: 14 · 2016: 17 · 2015: 25 · 2014: 26 · 2013: 24 · 2012: 23
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Stirling Online Research Repository (University of Stirling) (submittedVersion, public-domain)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- perceptual identification, evidence accumulation, decision-making, object identity, visual object recognition, inferior temporal cortex, frontal cortex, parietal cortex, medial frontal cortex, anterior insula, frontal operculum, thalamus, occipital cortex
- MeSH terms
- Adult, Analysis of Variance, Brain Mapping, Decision Making, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Oxygen, Pattern Recognition, Visual, Photic Stimulation, Psychomotor Performance, Reaction Time, Time Factors, Visual Cortex, Cluster Analysis, Linear Models
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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