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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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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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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Abstract
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In several occipital regions, activity increased primarily as stimulus information increased, suggesting a role in lower-level sensory processing.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Data from the two studies demonstrate that gradual revelation produced significant spread in recognition times.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 2
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Motor analysis.
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 1
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In the paper
“In Exp2 (n ϭ 13), 985 of 1148 trials received a recognition response before VoA.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 2
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In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Hierarchical cluster analysis.
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In the paper
“Of these, 564 (91.0%) received a VoA response and were thus judged to be accurate.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 1
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Of these, 852 (86.5%) received a later VoA response.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 2
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In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Motor analysis.
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 2
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Hierarchical cluster analysis.
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“The results did not change markedly across the four values, so we used the mean of the four values as the onset point.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Linear interpolation.
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 1
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“Behavioral data indicated that most correct recognition responses occurred in steps T R 4 -7 (Fig. 1c, shaded bars).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 1: region selection.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
- Rests on an assumption: The time of recognition (TR) button press provides an estimate of the time of recognition.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Peak times
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In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Atypical responses
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Peak times
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
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In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Slope analysis
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In the paper
“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)”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Peak times
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“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > BOLD response width
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In the paper
“In other regions near the angular gyrus and the precuneus (Fig. 4d), activity appeared to decrease at a rate corresponding with T R .”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Hierarchical cluster analysis.
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Accumulation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The time at which subjects press the button (TR) corresponds to the moment of perceptual recognition.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Onset times
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“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 .”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Hierarchical cluster analysis.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Slope analysis
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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)”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Onset times
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Recognition decision
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Recognition decision
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None of the sources cited for this claim have been checked yet.
In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Introduction
What the sources say
- Not checked yetcites Hanes and Schall, 1996
- Not checked yetcites Kim and Shadlen, 1999
- Not checked yetcites Shadlen and Newsome, 2001 source
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 2 Predictions.
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 2 Predictions.
What the sources say
- Not checked yetcites Bush et al., 2002
- Not checked yetcites Carlson et al., 2006
- Not checked yetcites Grinband et al., 2006
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Introduction
What the sources say
- Not checked yetcites Hanes and Schall, 1996
- Not checked yetcites Shadlen and Newsome, 2001 source
- Not checked yetcites Kim and Shadlen, 1999
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
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In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Motor analysis.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“A second response at the end of the trial, when the stimulus was fully revealed, verified the accuracy (VoA) of earlier recognition.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Introduction
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In the paper
“To help factor out basic lateralized motor signals in group analyses, response hand was counterbalanced across participants (Thielscher and Pessoa, 2007).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Behavioral paradigm
What the sources say
- Not checked yetcites Thielscher and Pessoa, 2007
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“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).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Introduction
What the sources say
- Not checked yetcites Ratcliff, 1978
- Not checked yetcites Busemeyer, 1985
- Not checked yetcites Bundesen, 1990
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“To maximize power, imaging analyses focused on correct T R 4 -7 trials.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Experiment 1: region selection.
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None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Introduction
What the sources say
- Not checked yetcites Audley and Pike, 1965
- Not checked yetcites Link and Heath, 1975
- Not checked yetcites Ratcliff, 1978
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Because we were primarily interested in studying decision processes, VoA served as one method to control for motor activity occurring at T R .”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Introduction
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“First, comparing T R and VoA events in Exp1 reduced the probability that ROIs would be related to motor processing.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Materials and Methods
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“All F and p values of repeated measures incorporate the Greenhouse-Geisser sphericity correction to adjust the degrees of freedom.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Hierarchical cluster analysis.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Regions demonstrating accumulation may compute decision variables, such that the quantity of accrued activity is associated with decision outcome.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Accumulation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“For example, certain visible elements (e.g., geons) provide a higher degree of object level information than straight lines (Biederman, 1987).”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Sensory processing
What the sources say
- Not checked yetcites Biederman, 1987
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the degree to which the T Rdependent buildup in activity reflects”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Accumulation
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“That is, some objects may have been identified earlier in the trial because more critically identifiable features were unmasked earlier.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Sensory processing
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“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.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Accumulation
What the sources say
- Not checked yetcites Ratcliff, 1978
- Not checked yetcites Ratcliff et al., 2004
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Several studies of recognition memory have reported that IPS and precuneus are most active when participants respond”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Accumulation
What the sources say
- Not checked yetcites Wheeler and Buckner, 2003
- Not checked yetcites Kahn et al., 2004
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In this framework, information processing proceeds through sensory processing and evidence accumulation to decision mechanisms, and culminates in a behavior.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Additional information
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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)”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Recognition decision
What the sources say
- Not checked yetcites Hampton and O'Doherty, 2007
- Not checked yetcites Dehaene et al., 1994
- Not checked yetcites Brown and Braver, 2005
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Despite the finding presented here, the precise functional relationship between accumulators and moment-ofrecognition areas is unknown.”
§ Evidence Accumulation and the Moment of Recognition: Dissociating Perceptual Recognition Processes Using fMRI > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
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 the citing paper
“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.”
Citations
Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184 · cited 2×
“As a means of accommodating more diverse patterns of data, UPGMA was developed (Eisen et al., 1998).”
MethodCo-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070 · cited 2×
“, 2003), attention for action (Posner et al., 1988; Posner and Petersen, 1990; Bush et al., 1998), response conflict/competition (Bush et al.”
BackgroundSelf-citationConflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351 · cited 2×
“, 1998), response conflict/competition (Bush et al., 1998; Botvinick et al., 1999; Botvinick et al., 2001), confidence (Fleck et al.”
BackgroundNeurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Recognition-by-components: A theory of human image understanding.
Biederman, I. (1987) · Psychological Review · doi:10.1037/0033-295x.94.2.115 · Cited by 5,621 · cited 2×
“, geons) provide a higher degree of object level information than straight lines (Biederman, 1987).”
BackgroundRatcliff, R. (1978) · Psychological Review · doi:10.1037/0033-295x.85.2.59 · Cited by 4,513 · cited 4×
“…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.,…”
BackgroundMethodInfluentialStatistical Principles in Experimental Design
Green, P. E., Winer, B. J., Brown, D. R., & Michels, K. M. (1992) · Journal of Marketing Research · doi:10.2307/3172747 · Cited by 4,333
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Flagged first, then by citations
3 of the 109 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 283
Effects of Category-Specific Costs on Neural Systems for Perceptual Decision-Making
Fleming, S. M., Whiteley, L., Hulme, O. J., Sahani, M., & Dolan, R. J. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01084.2009 · Cited by 52
“…regions thought to compare category evidence against a particular decision criterion (Heekeren et al. 2004; Ho et al. 2009; Philiastides and Sajda 2007; Philiastides et al. 2006; Pleger et al. 2006; Ploran et al. 2007; Thielscher and Pessoa 2007; Tosoni et al. 2008; but see McKeef and Tong 2007).”
Distinct Stages of Moment-to-Moment Processing in the Cinguloopercular and Frontoparietal Networks
Gratton, C., Neta, M., Sun, H., Ploran, E. J., Schlaggar, B. L., Wheeler, M. E., Petersen, S. E., & Nelson, S. M. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw092 · Cited by 48
“…between evidence accumulation and moment of recognition responses across regions throughout the brain including both control and sensory systems ((Ploran et al. 2007, 2011; Wheeler et al. 2008); see also (Kayser et al. 2010; Tremel and Wheeler 2015) for additional work on evidence accumulation).”
InfluentialSelf-citationThe activity in the anterior insulae is modulated by perceptual decision-making difficulty
Lamichhane, B., Adhikari, B. M., & Dhamala, M. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.04.016 · Cited by 48
“, 2004), moment of recognition (Ploran et al., 2007), PDM (Thielscher and Pessoa, 2007), feeling of knowing (Kikyo et al.”
Towards an understanding of parietal mnemonic processes: some conceptual guideposts
Levy, D. A. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00041 · Cited by 43
“Sensitivity to probability reflects an executive function/cognitive control account which is applicable not just to memory judgments, but to perceptual decision-making in general, as indicated by the study of Ploran et al. (2007).”
BackgroundResultInfluentialSelection of events in time enhances activity throughout early visual cortex
Swallow, K. M., Makovski, T., & Jiang, Y. V. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00472.2012 · Cited by 48
Foley, N. C., Grossberg, S., & Mingolla, E. (2012) · Cognitive Psychology · doi:10.1016/j.cogpsych.2012.02.001 · Cited by 46
“…(Dosenbach, Fair, Cohen, Schlaggar, & Petersen, 2008; Dosenbach et al., 2007; Gee, Ipata, Gottlieb, Bisley, & Goldberg, 2008; Gottlieb, Kusunoki, & Goldberg, 2005; Hillyard, Vogel, & Luck, 1998; Ploran et al., 2007; Reynolds, Alborzian, & Stoner, 2003; Yantis & Jonides, 1990; Yantis et al., 2002).”
Neural Correlates of the Conscious Perception of Visual Location Lie Outside Visual Cortex
Liu, S., Yu, Q., Tse, P. U., & Cavanagh, P. (2019) · Current Biology · doi:10.1016/j.cub.2019.10.033 · Cited by 39
Zaccarella, E., & Friederici, A. D. (2015) · Brain and Language · doi:10.1016/j.bandl.2014.12.006 · Cited by 43
“More specifically, increased activity in the area has been associated with the conscious phase of object recognition, during which subjects have the aware feeling of knowing the stimulus to which they are exposed (Nelson et al., 2010; Ploran et al., 2007).”
A biologically realistic cortical model of eye movement control in reading.
Heinzle, J., Hepp, K., & Martin, K. A. C. (2010) · Psychological Review · doi:10.1037/a0019575 · Cited by 43
“Recent fMRI experiments demonstrated the buildup of activity in artificially slowed-down recognition (Ploran et al., 2007) and antisaccade tasks (Medendorp, Goltz, Crawford, & Vilis, 2005).”
BackgroundBlind Saccades: An Asynchrony between Seeing and Looking
de’Sperati, C., & Baud‐Bovy, G. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0352-08.2008 · Cited by 40
“Both saccades and visual perception are thought to depend on rise-to-threshold decision mechanisms, in which the moment a threshold is reached determines when a saccade occurs or when perception is attained (Gold and Shadlen, 2000; Reddi and Carpenter, 2000; Carpenter, 2004; Gold and Shadlen, 2007; Ploran et al., 2007…”
BackgroundLamichhane, B., & Dhamala, M. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0282 · Cited by 43
“The increase in the activity of INSs at the moment of a perceptual decision during an image recognition task (Ploran et al., 2007) further supports their role in the decision-making process (Binder et al.”
InfluentialFunctional brain networks underlying detection and integration of disconfirmatory evidence
Lavigne, K. M., Metzak, P. D., & Woodward, T. S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.043 · Cited by 42
“The dACC and insula have been implicated in the " moment of recognition " of an object during evidence accumulation (Liu and Pleskac, 2011; Ploran et al., 2007); the dACC specifically is involved in surprise and error detection, and has been suggested to play a role in the " aha! moment " , or to…”
Frontal–Occipital Connectivity During Visual Search
Pantazatos, S. P., Yanagihara, T. K., Zhang, X., Meitzler, T. J., & Hirsch, J. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0072 · Cited by 41
“IC17 consisted of supplementary premotor and motor areas, thalamus, and cerebellum and are consistent with spatial orienting and saccade and response execution during the task (Ploran et al., 2007; Rosen et al., 1999; Seeley et al., 2007).”
Impaired conscious access and abnormal attentional amplification in schizophrenia
Berkovitch, L., Cul, A. D., Maheu, M., & Dehaene, S. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.03.010 · Cited by 43
“However, they also refine these findings, indicating that such unconscious evidence accumulation process can be amplified by top-down attention and suggesting that conscious perception corresponds to a threshold crossing in evidence accumulation (Dehaene 2011; Kang et al. 2017; King and Dehaene 2014; Ploran et al. 200…”
Sex differences in own and other body perception
Burke, S., Majid, D., Manzouri, A., Moody, T., Feusner, J. D., & Savic, I. (2018) · Human Brain Mapping · doi:10.1002/hbm.24388 · Cited by 38
Dissociating the “retrieval success” regions of the brain: Effects of retrieval delay
Huijbers, W., Pennartz, C. M. A., & Daselaar, S. M. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.10.006 · Cited by 37
“Finally, the posterior cingulate, medial PFC and ventral PPC showed a V-shaped pattern.”
ResultInfluentialAnalysis and asynchronous detection of gradually unfolding errors during monitoring tasks
Omedes, J., Iturrate, I., Mínguez, J., & Montesano, L. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/5/056001 · Cited by 39
The neural correlates of the decoy effect in decisions
Hu, J., & Yu, R. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00271 · Cited by 37
“While watching an image was slowly being revealed on a screen, a sudden burst of activity in the anterior insula was found at the moment of recognition (Ploran et al., 2007).”
Attentional modulation of reward processing in the human brain
Rothkirch, M., Schmack, K., Deserno, L., Darmohray, D. M., & Sterzer, P. (2013) · Human Brain Mapping · doi:10.1002/hbm.22383 · Cited by 43
“…sensory, and emotional/ motivational information, which consequently mediates awareness of sensory stimuli with respect to their motivational relevance and thus facilitates their further processing [Craig, 2002, 2009; see also Critchley et al., 2004; Ploran et al., 2007; Menon and Uddin, 2010].”
BackgroundOmedes, J., Schwarz, A., Müller-Putz, G., & Montesano, L. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aac1a1 · Cited by 35
“…not designed to provide reliable evidence for either of these possibilities, but several studies have theorized about the existence of an internal evidence accumulation model for perception [64] and previous findings on EEG evoked potentials recordings have already corroborated this theory [65].”
ResultControl networks of the frontal lobes
Marek, S. A., & Dosenbach, N. U. F. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00018-5 · Cited by 40
Salience network activity in perceptual decisions
Lamichhane, B., Adhikari, B. M., & Dhamala, M. (2016) · Brain Connectivity · doi:10.1089/brain.2015.0392 · Cited by 33
“We used four sensory discrimination tasks in visual and audiovisual domain with varying degree of degraded sensory input, measured fMRI-BOLD signal, and used spectral GC techniques to explore the role of SN in PDM.”
InfluentialLearning Acts on Distinct Processes for Visual Form Perception in the Human Brain
Mayhew, S. D., Li, S., & Kourtzi, Z. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2033-11.2012 · Cited by 35
“LO has been suggested to contribute to the comparison of sensory evidence during decision making by accumulating information to the time of recognition (Ploran et al., 2007), and supporting the persistence of a percept (Philiastides and Sajda, 2007).”
BackgroundThe Effects of Evidence Bounds on Decision-Making: Theoretical and Empirical Developments
Zhang, J. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00263 · Cited by 33
Content-specific evidence accumulation in inferior temporal cortex during perceptual decision-making
Tremel, J. J., & Wheeler, M. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.072 · Cited by 40
“…0.04 0.14 0.12 0.13 0.15 0.13 0.13 High Noise 3.97 1.22 1.93 0.47 0.05 0.07 1.80 -2.37 -- 1.86 -2.09 -- (SD) 0.19 0.12 0.06 0.10 0.04 0.07 0.17 0.21 -- 0.16 0.22 -- Table 2 Regions of interest with reliable increases in task-related activity categorized as sensory regions in Ploran et al., 2007.”
BackgroundMethodResultInfluentialSelf-citationHuman stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task
Wal, M. T., Platonov, A., Cardellicchio, P., Pelliccia, V., Russo, G. L., Sartori, I., Avanzini, P., Orban, G. A., & Tiesinga, P. H. E. (2020) · Nature Communications · doi:10.1038/s41467-020-16854-w · Cited by 36
Tosoni, A., Corbetta, M., Calluso, C., Committeri, G., Pezzulo, G., Romani, G. L., & Galati, G. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12511 · Cited by 33
“…magnetic resonance imaging (fMRI) and electroencephalography/magnetoencephalography methods (Heekeren et al., 2006; Philiastides & Sajda, 2007; Ploran et al., 2007; Tosoni et al., 2008; Donner et al., 2009; Ho et al., 2009; Kayser et al., 2009; Liu & Pleskac, 2011; Gould et al., 2012; Hebart…”
MethodZhang, X., Di, X., Lei, H., Yang, J., Xiao, J., Wang, X., Yao, S., & Rao, H. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.03.001 · Cited by 33
fMRI characterization of visual working memory recognition
Rahm, B., Kaiser, J., Unterrainer, J. M., Simon, J., & Bledowski, C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.017 · Cited by 35
“, 2009), or to form part of a set of regions signaling themoment of recognition (Ploran et al., 2007).”
BackgroundFandakova, Y., Bunge, S. A., Wendelken, C., Desautels, P., Hunter, L., Lee, J. K., & Ghetti, S. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw352 · Cited by 38
Functional parcellation of the operculo-insular cortex in perceptual decision making: An fMRI study
Rebola, J., Castelhano, J., Ferreira, C., & Castelo-Branco, M. S. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.06.020 · Cited by 33
“Hence, we adapted the accumulator-based decision architecture used by Ploran et al. (2007), Ploran, Tremel, Nelson, and Wheeler (2011) and extended it to investigate a general mechanism concerning the integration of holistic perceptual evidence, decision signaling and response.”
MethodDissociating early and late error signals in perceptual recognition
Wheeler, M. E., Petersen, S. E., Nelson, S. M., Ploran, E. J., & Velanova, K. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20155 · Cited by 30
“This pattern of response is consistent with an accumulation of information prior to the time of recognition (Ploran et al., 2007).”
BackgroundMethodResultInfluentialSelf-citationEvidence accumulation detected in BOLD signal using slow perceptual decision making
Krueger, P. M., van Vugt, M. K., Simen, P., Nystrom, L. E., Holmes, P. J., & Cohen, J. D. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.01.012 · Cited by 28
Neta, M., Nelson, S. M., & Petersen, S. E. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw053 · Cited by 30
“Based on previous work (Ploran et al. 2007), we suggested that these signals likely come online at or near the end of the trial, providing further evidence that these signals might be in the service of performance reporting to a task-control system.”
BackgroundMethodSelf-citationDelis, I., Dmochowski, J., Sajda, P., & Wang, Q. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.035 · Cited by 30
“Taken together, our results suggest that active perceptual decision-making is based on the interaction of different neural networks, which have complementary roles in decision formation (Philiastides et al., 2006; Philiastides and Sajda, 2007; Ploran et al., 2007; Heekeren et al., 2008; Mostert et al., 2015; Delis et…”
Schettino, A., Loeys, T., Delplanque, S., & Pourtois, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.009 · Cited by 34
“First, we surmised ERPeffects reflecting the accumulation of perceptual evidenceover time, with the main neural generators being localized in posterior brain regions, including the occipital and temporal cortices (Ploran et al., 2007).”
InfluentialA Differentiation Account of Recognition Memory: Evidence from fMRI
Criss, A. H., Wheeler, M. E., & McClelland, J. L. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00292 · Cited by 29
“This finding is similar to the patterns of accumulating activity in a perceptual identification task where participants identify an item that is masked and slowly revealed (Ploran, Tremel, Nelson, & Wheeler, 2011; Wheeler, Petersen, Nelson, Ploran, & Velanova, 2008; Ploran et al., 2007).”
BackgroundMethodResultInfluentialSelf-citationTask-merging for finer separation of functional brain networks in working memory
Sanford, N., Whitman, J. C., & Woodward, T. S. (2020) · Cortex · doi:10.1016/j.cortex.2019.12.014 · Cited by 32
Brain waves from an “isolated” cortex: contribution of the anterior insula to cognitive functions
Perri, R. L., Berchicci, M., Bianco, V., Spinelli, D., & Russo, F. D. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1560-6 · Cited by 29
Parhizi, B., Daliri, M. R., & Behroozi, M. (2017) · Cognitive Neurodynamics · doi:10.1007/s11571-017-9461-1 · Cited by 28
“Supplementary Premotor and motor areas, Thalamus and Cerebellum are consistent with spatial orienting and saccade and response accomplishment during the given task (Ploran et al. 2007; Rosen et al. 1999; Seeley et al. 2007).”
BackgroundObject and space perception – Is it a matter of hemisphere?
Schintu, S., Hadj‐Bouziane, F., Monte, O. D., Knutson, K. M., Pardini, M., Wassermann, E. M., Grafman, J. H., & Krüeger, F. (2014) · Cortex · doi:10.1016/j.cortex.2014.04.009 · Cited by 30
Ihnen, S. K. Z., Petersen, S. E., & Schlaggar, B. L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht313 · Cited by 26
“Of note, hierarchical clustering of event-related timecourses was employed (e.g., Ploran et al., 2007; Church et al., 2011), in conjunction with statistical testing, to identify and characterize candidate regions.”
Self-citationSi, R., Rowe, J. B., & Zhang, J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118468 · Cited by 28
Chung, D., Yun, K., & Jeong, J. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv006 · Cited by 26
“To simulate a realistic environment, the bonus was distributed each round in the form of cards if the group succeeded in earning the bonus.”
BackgroundNeural Mechanisms for Perceptual Decision Making
Gold, J. I., & Heekeren, H. R. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00019-x · Cited by 29
Left posterior parietal cortex participates in both task preparation and episodic retrieval
Phillips, J. S., Velanova, K., Wolk, D. A., & Wheeler, M. E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.044 · Cited by 26
“This result suggests that information processed in the IPS reflects the outcome of memory decisions (Ploran et al., 2007).”
Self-citationCategorical evidence, confidence, and urgency during probabilistic categorization
Braunlich, K., & Seger, C. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.011 · Cited by 24
“…previous research, we hypothesized that the integration of categorical evidence would recruit regions of the parietal lobe (Churchland et al., 2008; Ploran et al., 2007; Ploran et al., 2011; Shadlen and Newsome, 2001; Yang and Shadlen, 2007), as well as primary and premotor regions (Gluth et al.,…”
BackgroundObsessive compulsive features predict cautious decision strategies
Erhan, C., & Balcı, F. (2015) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2015.1130070 · Cited by 24
“Furthermore, the activation of anterior insula (along with other regions) was at baseline during evidence accumulation, peaking at stimulus recognition (Ploran et al., 2007), which Ploran et al.”
BackgroundNeural correlates of active vision: An fMRI comparison of natural reading and scene viewing
Choi, W., & Henderson, J. M. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.05.027 · Cited by 24
“However, others have found that the VWFA is also activated for picture stimuli (Bar et al., 2001; Ben-Shachar et al., 2007; Kherif et al., 2011; Ploran et al., 2007; Price and Devlin, 2011; 2003; Starrfelt and Gerlach, 2007; Van Doren et al., 2010; Vogel et al., 2012).”
BackgroundBrain dynamics of visual anticipation during spatial occlusion tasks in expert tennis players
Costa, S., Berchicci, M., Bianco, V., Croce, P., Russo, F. D., Quinzi, F., Bertollo, M., & Zappasodi, F. (2022) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2022.102335 · Cited by 25
How the Visual Cortex Handles Stimulus Noise: Insights from Amblyopia
Bankó, É. M., Körtvélyes, J., Weiss, B., & Vidnyánszky, Z. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066583 · Cited by 24
“In previous research, adding noise to the stimuli was used extensively to study the degree of feature or object category selectivity of a specific neural population or visual cortical area [9,42,43,50] as well as to manipulate stimulus uncertainty and overall task demands in order to reveal the neural processes underl…”
MethodMasked features of task states found in individual brain networks
Porter, A., Nielsen, A. N., Dorn, M., Dworetsky, A., Edmonds, D., & Gratton, C. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac247 · Cited by 22
Kim, H., Jin, S., Jo, S., & Lee, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116617 · Cited by 22
A cortical network that marks the moment when conscious representations are updated
Stöttinger, E., Filipowicz, A., Valadao, D. F., Culham, J. C., Goodale, M. A., Anderson, B., & Danckert, J. A. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.10.037 · Cited by 22
Yau, Y. H. C., Dadar, M., Taylor, M., Zeighami, Y., Fellows, L. K., Cisek, P., & Dagher, A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa129 · Cited by 22
Goal- and retrieval-dependent activity in the striatum during memory recognition
Clos, M., Schwarze, U., Gluth, S., Bunzeck, N., & Sommer, T. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.04.011 · Cited by 21
Dissociation of attention and intention in human posterior parietal cortex: an fMRI study
Hu, S., Bu, Y., Song, Y., Zhen, Z., & Liu, J. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06757.x · Cited by 21
“…with longer RTs (i.e. longer duration for evidence accumulation) associated with a larger blood oxygen level-dependent (BOLD) response (i.e. longer neural activation), independent of stimulus salience (Binder et al., 2004; Grinband et al., 2006; Ploran et al., 2007; Thielscher & Pessoa, 2007).”
BackgroundTowards causal mechanisms of consciousness through focused transcranial brain stimulation
Havlík, M., Hlinka, J., Klírová, M., Adámek, P., & Horáček, J. (2023) · Neuroscience of Consciousness · doi:10.1093/nc/niad008 · Cited by 26
Specialization and integration of brain responses to object recognition and location detection
Pennick, M. R., & Kana, R. K. (2011) · Brain and Behavior · doi:10.1002/brb3.27 · Cited by 19
“In addition, several fMRI studies provide evidence for the communication between the dorsal and ventral streams during tasks that were theorized to activate only one visual stream (Schenk and Milner 2006; Mahon et al. 2007; Ploran et al. 2007).”
BackgroundWhitman, J. C., Metzak, P. D., Lavigne, K. M., & Woodward, T. S. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.02.016 · Cited by 21
“Other brain regions involved include the frontal eye fields (FEF), the dorsolateral prefrontal cortex (DLPFC) and parietal regions including the intraparietal sulcus (IPS) and superior and inferior parietal lobules (Aziz-Zadeh, Kaplan, & Iacoboni, 2009; Kounios & Beeman, 2009; Luo, Niki, & Phillips, 2004; Ploran et al…”
BackgroundMassive Modulation of Brain Areas After Mechanical Pain Stimulation: A Time-Resolved fMRI Study
Cauda, F., Costa, T., Diano, M., Sacco, K., Duca, S., Geminiani, G. C., & Torta, D. M. E. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht153 · Cited by 23
“We examined the time course of voxels of the whole-brain BOLD signal (Ploran et al. 2007) in response to mechan ical painful stimuli (Magerl et al. 2001; Baumgartner et al. 2010) and used a hierarchical cluster analysis (Smolders et al. 2007; Sack et al. 2008; Gonzalez-Castillo et al. 2012) to…”
Spatiotemporal characteristics of perceptual decision making in the human brain
Philiastides, M. G., & Heekeren, H. R. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374620-7.00008-x · Cited by 24
Is Developmental Dyslexia Due to a Visual and Not a Phonological Impairment?
Werth, R. (2021) · Brain Sciences · doi:10.3390/brainsci11101313 · Cited by 22
Millan, M. J. (2008) · Elsevier eBooks · doi:10.1016/b978-0-12-373861-5.00001-1 · Cited by 22
An fMRI Exploration of Information Processing in Electronic Networks of Practice1
Meservy, T. O., Fadel, K. J., Kirwan, C. B., & Meservy, R. D. (2019) · MIS Quarterly · doi:10.25300/misq/2019/15093 · Cited by 17
“Ploran et al. (2007) found that activation of the anterior insula and dACC tracked with the accumulation of evidence in a perceptual recognition paradigm.”
Linear Integration of Sensory Evidence over Space and Time Underlies Face Categorization
Okazawa, G., Sha, L., & Kiani, R. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.3055-20.2021 · Cited by 16
Evidence for cortical adjustments to perceptual decision criteria during word recognition in noise
Vaden, K. I., Teubner-Rhodes, S. E., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119042 · Cited by 17
Individual differences in intrinsic brain connectivity predict decision strategy
Barnes, K. A., Anderson, K. M., Plitt, M. H., & Martin, A. D. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00909.2013 · Cited by 17
Ruff, D. A., Marrett, S., Heekeren, H. R., Bandettini, P. A., & Ungerleider, L. G. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00190 · Cited by 17
“…evidence in higher-level brain regions has been demonstrated in both nonhuman primates (Kim and Shadlen, 1999; Shadlen and Newsome, 2001; Romo et al., 2004) and human subjects (Heekeren et al., 2004, 2006, 2008; Ploran et al., 2007; Tosoni et al., 2008; Gross and Ploner, 2009; Ho et al., 2009).”
BackgroundGamma activity modulated by naming of ambiguous and unambiguous images: Intracranial recording
Hisamoto, Y., Kojima, K., Brown, E. C., Matsuzaki, N., & Asano, E. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.03.034 · Cited by 18
Collins, H. R., Zhu, X., Bhatt, R. S., et al. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00273 · Cited by 17
“Potentially, a process of evidence accumulation occurs simultaneously in multiple brain regions during thematching task beforemaking a final perceptual decision, as described by Ploran et al. (2007). In other words, many regions are involved in perceptual differentiation, but these regions interact and further qualify…”
BackgroundWheeler, M. E., Woo, S. G., Ansel, T., Tremel, J. J., Piskac‐Collier, A. L., Velanova, K., Ploran, E. J., & Yang, T. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00739 · Cited by 16
“For example, in past studies of object identification (Ploran et al., 2007, 2011; Wheeler et al., 2008), objects were gradually revealed from under a mask and participants made a recognition response when they were reasonably confident about the identity of the object.”
BackgroundMethodInfluentialSelf-citationCortical correlates of perceptual decision making during tactile spatial pattern discrimination
Hegner, Y. L., Lindner, A., & Braun, C. (2015) · Human Brain Mapping · doi:10.1002/hbm.22844 · Cited by 15
“Hence, several previous fMRI studies applied more elaborate experimental designs and analyses methods to distinguish the sensory and motor networks underlying perceptual decision making [Filimon et al., 2013; Ho et al., 2009; Kayser et al., 2010a,b; Liu and Pleskac, 2011; Ploran et al., 2007].”
BackgroundResultInfluentialBlank, H., Biele, G., Heekeren, H. R., & Philiastides, M. G. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4151-12.2013 · Cited by 23
“3D) with the slope seemingly modulated by punishment, pointing to a potential influence of punishment on the process of temporal evidence accumulation (Gold and Shadlen, 2001, 2007; Ploran et al., 2007; Heekeren et al., 2008; Liu and Pleskac, 2011; Philiastides et al., 2011).”
BackgroundInfluentialExperimenting in Relation to Piaget: Education is a Chaperoned Process of Adaptation
Burman, J. T. (2008) · Perspectives on Science · doi:10.1162/posc.2008.16.2.160 · Cited by 16
“…I submit is better translated here as “taking consciousness” (le prise de conscience)18—as a kind of awakening into the world: a ºash of insight regarding organizing structure, leading to “truer” reconstructions of the object-in-experience (Piaget [1974] 1976, [1974] 1978; cf. Ploran et al. 2007).”
BackgroundLeibovich, T., & Ansari, D. (2017) · Human Brain Mapping · doi:10.1002/hbm.23703 · Cited by 16
Isolating shape from semantics in haptic-visual priming
Pesquita, A., Brennan, A., Enns, J. T., & Soto‐Faraco, S. (2013) · Experimental Brain Research · doi:10.1007/s00221-013-3489-1 · Cited by 13
“This would imply that haptic-visual priming is mediated solely by shared shape representations, as implied in the interpretation of Reales and Ballesteros (1999). Second, accuracy may be higher in both the identity and the category conditions, and to a similar extent, than accuracy in the unrelated condition.”
BackgroundSchendan, H. E. (2019) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2019.07.007 · Cited by 16
Pierce, J. E., Petro, N. M., Clancy, E. M., Gratton, C., Petersen, S. E., & Neta, M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120314 · Cited by 15
“Additionally, responses from 5 visual ROIs based on another slow reveal study (Ploran et al., 2007) were averaged together in a “ Sensory ” ROI cluster as a control condition in which no differences were expected by emotion (see Supplemental Table S1 for all regions and their coordinates).”
InfluentialSelf-citationCognition in the Attention Economy
Atchley, P., & Lane, S. M. (2014) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/b978-0-12-800283-4.00004-6 · Cited by 15
Erickson, D. T., & Kayser, A. S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.085 · Cited by 13
“Further studies have also correlated IPS activity with evidence accumulation (Kayser et al., 2010a; Ploran et al., 2007) and motor intention (Hesse et al.”
Akaishi, R., Ueda, N., & Sakai, K. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00365 · Cited by 13
Decoding of auditory and tactile perceptual decisions in parietal cortex
Levine, S. M., & Schwarzbach, J. V. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.060 · Cited by 12
“, 2011) and human neuroimaging (Ploran et al., 2007; Hebart et al., 2012), suggests that, irrespective of motor affordances, the role of parietal cortex in decision making goes beyond that of general involvement (Ploran et al.”
BackgroundLamichhane, B., & Dhamala, M. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00498 · Cited by 14
Neural Responses to Heartbeats of Physically Trained and Sedentary Young AdultsPreprint
Perakakis, P., Luque‐Casado, A., Ciria, L. F., Ivanov, P. C., & Sanabria, D. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/156802 · Cited by 13
Kember, J., Stepien, L., Panda, E., & Tekok-Kılıç, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0277382 · Cited by 12
Morito, Y., & Murata, T. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1062-21.2022 · Cited by 11
“[In this study, our approach basically followed Ploran et al. (2007), while we referred to the results of Ploran et al. (2011) as well.]”
BackgroundMethodResultInfluentialNeural correlates of stimulus-invariant decisions about motion in depth
Kovács, G., Cziraki, C., & Greenlee, M. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.011 · Cited by 12
“, 2006) or visual decisions (Ploran et al., 2007), as well as memoryrelated conflict monitoring (Fleck et al.”
InfluentialSlow Resting State Fluctuations Enhance Neuronal and Behavioral Responses to Looming Sounds
Sancristóbal, B., Ferri, F., Longtin, A., Perrucci, M. G., Romani, G. L., & Northoff, G. (2021) · Brain Topography · doi:10.1007/s10548-021-00826-4 · Cited by 12
Task‐dependent uncertainty modulation of perceptual decisions in the human brain
Li, S., & Yang, F. (2012) · European Journal of Neuroscience · doi:10.1111/ejn.12006 · Cited by 15
“2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd European Journal of Neuroscience, 36, 3732–3739 These areas are known as the early-stage perceptual information ‘accumulators’ (Ploran et al., 2007; Donner et al., 2009).”
BackgroundInfluentialDifferentiation in Episodic Memory
Criss, A. H., & Koop, G. J. (2015) · doi:10.4324/9781315885582-13 · Cited by 12
Is There Neural Evidence for an Evidence Accumulation Process in Memory Decisions?
van Vugt, M. K., Beulen, M. A., & Taatgen, N. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00093 · Cited by 10
Hegner, Y. L., Lindner, A., & Braun, C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23446 · Cited by 10
“human brain areas using fMRI while complementing other experimental designs like the artificial slowing of evidence accumulation speed [Ploran et al., 2007] and other analyti-”
MethodLiu, P., Shen, H., & Ji, S. (2019) · Neural Plasticity · doi:10.1155/2019/2684821 · Cited by 14
Vaden, K. I., Eckert, M. A., Dubno, J. R., et al. (2019) · Journal of Neuroscience Research · doi:10.1002/jnr.24506 · Cited by 11
“For example, cingulo‐opercular function is thought to adjust perceptual decision‐making strategy for upcoming trials (Gratton et al., 2016; Van Maanen et al., 2011; Ploran et al., 2007; Ploran, Tremel, Nelson, & Wheeler, 2011).”
BackgroundThe neural systems for perceptual updating
Stöttinger, E., Aichhorn, M., Anderson, B., & Danckert, J. A. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.017 · Cited by 11
“This would fit with research showing that a network including the anterior insula is engaged when belief updating is based on relative uncertainty in a gradually changing, noisy, uncertain, or perceptually degraded environment (Ploran et al., 2007; Heekeren et al., 2008 for review).”
Cortical evidence accumulation for visual perception occurs irrespective of reports
Stockart, F., Msheik, R., Robin, A., Jurkovičová, L., Goueytes, D., Rouy, M., Mareček, R., Hoffmann, D., Mudrik, L., Román, R., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63255-y · Cited by 33
“Previous electrophysiological research in mice 32,35 , as well as fMRI 30,31,33,36 , MEG 37 and intracranial EEG 27,28,66 research in humans uncovered widely distributed accumulator dynamics with different activity pro fi les in discrimination tasks (Supplementary Fig.”
The gradient model of brain organization in decisions involving “empathy for pain”
Labek, K., Sittenberger, E., Kienhöfer, V., Rabl, L., Messina, I., Schurz, M., Stingl, J., & Viviani, R. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac464 · Cited by 9
Perceptual decision making: a bidirectional link between mind and motion
Green, N., & Heekeren, H. R. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)01317-x · Cited by 14
“A recent fMRI study showed how the bloodoxygen-level-dependent (BOLD) signal can be used to examine the process of accumulation of sensory evidence (Ploran et al., 2007).”
BackgroundSchettino, A., Loeys, T., & Pourtois, G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.115 · Cited by 13
“More generally, the parallel involvement of the insula and dACC in our study during the processing of new scenes is not surprising, but consistent with many previous findings showing that these two regions likely operate together and eventually form a functional network activated across a variety of stimuli and tasks…”
Influential
Metadata
- 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
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