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Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis
Open accessAbstract
An influential hypothesis from the last decade proposed that regions within the right inferior frontal cortex of the human brain were dedicated to supporting response inhibition. There is growing evidence, however, to support an alternative model, which proposes that neural areas associated with specific inhibitory control tasks co-exist as common network mechanisms, supporting diverse cognitive processes. This meta-analysis of 225 studies comprising 323 experiments examined the common and distinct neural correlates of cognitive processes for response inhibition, namely interference resolution, action withholding, and action cancellation. Activation coordinates for each subcategory were extracted using multilevel kernel density analysis (MKDA). The extracted activity patterns were then mapped onto the brain functional network atlas to derive the common (i.e., process-general) and distinct (i.e., domain-oriented) neural network correlates of these processes. Independent of the task types, activation of the right hemispheric regions (inferior frontal gyrus, insula, median cingulate, and paracingulate gyri) and superior parietal gyrus was common across the cognitive processes studied. Mapping the activation patterns to a brain functional network atlas revealed that the fronto-parietal and ventral attention networks were the core neural systems that were commonly engaged in different processes of response inhibition. Subtraction analyses elucidated the distinct neural substrates of interference resolution, action withholding, and action cancellation, revealing stronger activation in the ventral attention network for interference resolution than action inhibition. On the other hand, action withholding/cancellation primarily engaged the fronto-striatal circuit. Overall, our results suggest that response inhibition is a multidimensional cognitive process involving multiple neural regions and networks for coordinating optimal performance. This finding has significant implications for the understanding and assessment of response inhibition.
Overview
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Written from the paper’s full text.
TL;DR
This meta-analysis of 225 fMRI studies (323 experiments) finds that response inhibition commonly engages right inferior frontal gyrus/insula, median cingulate/paracingulate gyri, and superior parietal gyrus, with fronto-parietal and ventral attention networks as core systems. Interference resolution, action withholding, and action cancellation share these networks but show distinct recruitment patterns, including stronger ventral attention network engagement for interference resolution and fronto-striatal involvement for action withholding/cancellation.
Key findings
- Across all 225 studies/323 experiments/3453 foci, significant right-hemisphere clusters included frontal cortex, angular gyrus, and supplementary motor area; activated areas were primarily distributed in the fronto-parietal network (36%), ventral attention network (27%), dorsal attention network (18%), and default mode network (13%).
- Common across the three subcategories were the right inferior frontal gyrus extending to insula, right median cingulate and paracingulate gyri, and right superior parietal gyrus; the common network distribution was ventral attention network (61%), fronto-parietal network (26%), default mode network (8%), and dorsal attention network (4%).
- Subcategory network distributions were: interference resolution — ventral attention network (45%), dorsal attention network (27%), fronto-parietal network (20%); action withholding — fronto-parietal network (39%), ventral attention network (28%), default mode network (15%), dorsal attention network (14%); action cancellation — ventral attention network (38%), fronto-parietal network (35%), default mode network (16%), dorsal attention network (8%).
- Subtraction/chi-square analyses showed interference resolution vs. action withholding differed significantly (χ² = 19.93, df = 6, p = 0.003) and interference resolution vs. action cancellation differed significantly (χ² = 22.37, df = 6, p = 0.001); interference resolution showed stronger ventral attention network activation than action inhibition, while action withholding/cancellation primarily engaged the fronto-striatal circuit.
Methods
- Literature search used PubMed, Web of Science, and BrainMap; 4092 reports were screened and 225 full articles were included. Experiments were categorized as interference resolution (50 articles, 68 experiments, 817 foci), action withholding (117 articles, 147 contrasts, 1932 foci), and action cancellation (73 articles, 108 experiments, 1523 foci).
- Activation coordinates were analyzed with multilevel kernel density analysis (MKDA) using a 5-mm spherical kernel, sample-size-weighted density maps, and Monte Carlo family-wise error correction (p < 0.05, FWE corrected across the entire brain); non-MNI coordinates were transformed using the Lancaster transformation.
- Significant voxels were overlaid onto seven functional networks (fronto-parietal, dorsal attention, ventral attention, somatomotor, visual, affective, default mode); chi-square tests and subtraction analyses compared subcategories, with validation via leave-one-out cross-validation and random selection of 68 contrasts.
Limitations
- The paper states that synthesizing different interference-resolution tasks (Stroop, Simon, Flanker, etc.) increases heterogeneity of paradigms and designs, although leave-one-out cross-validation showed highly replicable network distribution profiles; future meta-analyses with common stimulus–response incompatibility tasks are needed.
- The paper states that simple and complex Go/NoGo tasks may not be perfectly matched across included studies; the text reports high vs. low NoGo frequency comparisons as not significantly different, but the validation table shows the high-frequency NoGo-only contrast differed significantly (χ² = 43.52, df = 6, p < 0.01).
- The paper states that stop signal tasks may draw more on proactive than reactive control; a supplementary chi-square test found no significant difference between all contrasts and Stop–Go-only contrasts, but heterogeneity of action cancellation tasks remains a concern. Evident from the text: coordinate-based MKDA synthesizes published peak coordinates, so it cannot test individual-level or causal network dynamics.
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54 Not checked yet · 52 Own result · 15 Own interpretation · 12 Own method · 1 Sources not found · 1 No basis given
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
“More precisely, cluster activations in the frontal cortex included the insula, inferior frontal gyrus, middle frontal gyrus, and superior frontal gyrus.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Meta-analysis of all included response inhibition experiments
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“The all-inclusive analysis of the 225 studies showed significant activations of three large clusters in the right hemisphere: the frontal cortex, the angular gyrus, and the supplementary motor area (Fig. 3a and Table S3 in Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Meta-analysis of all included response inhibition experiments
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In the paper
“In addition, several areas in the left hemisphere, including the insula, putamen, and middle frontal gyrus were consistently activated across all response inhibition tasks.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Meta-analysis of all included response inhibition experiments
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“The regions activated by interference resolution were located in a subset of the previously mentioned clusters (Fig. 3b), including the left supplementary motor area, the left inferior parietal lobule, the left precentral gyrus, the right insula, the right middle frontal gyrus, and bilateral inferior frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
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In the paper
“Furthermore, activation of the angular gyrus cluster extended to the superior temporal gyrus, while activation of the supplementary motor area extended to the middle frontal gyrus.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Meta-analysis of all included response inhibition experiments
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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
“Furthermore, activation of the angular gyrus cluster extended to the superior temporal gyrus, while activation of the supplementary motor area extended to the middle frontal gyrus.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Meta-analysis of all included response inhibition experiments
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“By overlapping these clusters with the seven functional networks, we discovered that the activated areas were primarily distributed in the fronto-parietal network (36%), ventral attention network (27%), dorsal attention network (18%), and default mode network (13%) (Table S9 in Supplementary Materials) (Fig. 4a).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Meta-analysis of all included response inhibition experiments
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In the paper
“These activations extended to the subcortical regions (the thalamus and pallidum).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Meta-analysis of all included response inhibition experiments
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In the paper
“Furthermore, relative to action cancellation, action withholding primarily recruited the fronto-parietal network.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion
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In the paper
“Independent of the task type, brain areas including the right inferior frontal gyrus extending to the insula, the right median cingulate, and paracingulate gyri, and the right superior parietal gyrus were activated across all paradigm classes.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion
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In the paper
“Our findings show that distinct neural correlates and hence networks were indicated for each of the three subcategories of processes: inference resolution, action withholding, and action cancellation.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
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In the paper
“There were activations in the (1) right triangular part of the inferior frontal gyrus, which extended to the insula and middle frontal gyrus; (2) right angular gyrus, which extended to the middle temporal gyrus and supramarginal gyrus; (3) right supplementary motor area, which extended to the median cingulate and paracingulate gyri; (4) left insula, which extended to the putamen; and (5) right p”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
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In the paper
“On the other hand, action withholding engaged the fronto-parietal network, including regions of the right middle frontal gyrus, bilateral insula, the right triangular part of the inferior frontal gyrus, and subcortical areas such as the left putamen and right pallidum (Table 4; Fig. 6c, d).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
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In the paper
“The regions activated by interference resolution were located in a subset of the previously mentioned clusters (Fig. 3b), including the left supplementary motor area, the left inferior parietal lobule, the left precentral gyrus, the right insula, the right middle frontal gyrus, and bilateral inferior frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
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In the paper
“With regard to the contrast condition of the stop signal tasks, we found no significant differences in the distribution of neural networks, including all studies and Stop versus Go contrasts (Table 4 and Table S8 in Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Validation analysis
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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
“There were activations in the (1) right triangular part of the inferior frontal gyrus, which extended to the insula and middle frontal gyrus; (2) right angular gyrus, which extended to the middle temporal gyrus and supramarginal gyrus; (3) right supplementary motor area, which extended to the median cingulate and paracingulate gyri; (4) left insula, which extended to the putamen; and (5) right p”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“Subtraction analyses elucidated the distinct neural substrates of interference resolution, action withholding, and action cancellation, revealing stronger activation in the ventral attention network for interference resolution than action inhibition.”
- Also stated in: § Conclusions · plain
“Subtraction analyses elucidated the distinct neural substrates of interference resolution, action withholding, and action cancellation, and revealed stronger activation in the ventral attention network for interference resolution than action inhibition.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Abstract
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- Also stated in: § Conclusions · plain
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
“Independent of the task types, activation of the right hemispheric regions (inferior frontal gyrus, insula, median cingulate, and paracingulate gyri) and superior parietal gyrus was common across the cognitive processes studied.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Abstract
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None of the sources cited for this claim have been checked yet.
In the paper
“By mapping the activated patterns onto the functional network atlas (Yeo et al. 2011; Choi et al. 2012), we found that the fronto-parietal network and the ventral attention network were the core neural systems engaged during response inhibition.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion
What the sources say
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In the paper
“The evaluation of the number of experiments when contrasting the three subcategories indicated no significant differences among the real contrasts and the randomly selected 68 contrasts for action withholding and action cancellation (Table 4).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Validation analysis
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In the paper
“The network analysis showed that the common activated areas were mostly distributed in the ventral attention network (61%), fronto-parietal network (26%), default mode network (8%), and dorsal attention network (4%).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Common activation profiles among different classifications of response inhibition
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In the paper
“When examining the NoGo vs. Go contrast in relation to action withholding, activation of the correlates of the ventral attention network and the fronto-parietal network was observed (detailed brain areas are listed in Table S7 in Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Validation analysis
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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
“Using the leave-one-out cross-validation procedure, we tested the effects of excluding paradigms on interference resolution and found that the neural networks of interference resolution were primarily distributed in the ventral attention network and the dorsal attention network regardless of which paradigm was excluded (Table 5: Table S9 and Fig. S1 in Supplementary).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Validation analysis
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“The regions activated by interference resolution were located in a subset of the previously mentioned clusters (Fig. 3b), including the left supplementary motor area, the left inferior parietal lobule, the left precentral gyrus, the right insula, the right middle frontal gyrus, and bilateral inferior frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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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
“Chi-square analyses revealed that the network distributions of interference resolution versus action withholding/action cancellation were significantly different (interference resolution vs. action withholding, χ 2 = 19.93, df = 6, p = 0.003; interference resolution vs. action cancellation, χ 2 = 22.37, df = 6, p = 0.001).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
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In the paper
“Brain areas significantly activated during action withholding (p < 0.05, FWE corrected across the entire brain)”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“The common regions included the right inferior frontal gyrus, which extended to the insula, right median cingulate, and paracingulate gyri, and the right superior parietal gyrus (Fig. 5).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Common activation profiles among different classifications of response inhibition
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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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
“On the other hand, relative to action withholding, action cancellation activated both the ventral attention and fronto-parietal networks.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“The regions activated by interference resolution were located in a subset of the previously mentioned clusters (Fig. 3b), including the left supplementary motor area, the left inferior parietal lobule, the left precentral gyrus, the right insula, the right middle frontal gyrus, and bilateral inferior frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“There were activations in the (1) right triangular part of the inferior frontal gyrus, which extended to the insula and middle frontal gyrus; (2) right angular gyrus, which extended to the middle temporal gyrus and supramarginal gyrus; (3) right supplementary motor area, which extended to the median cingulate and paracingulate gyri; (4) left insula, which extended to the putamen; and (5) right p”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“Action cancellation compared with action withholding revealed a significant activation in the ventral attention and fronto-parietal networks, in which the primary correlates were the right inferior frontal gyrus, the right supplementary motor area, and the right superior parietal gyrus (Fig. 6f).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“Brain areas in bilateral insula and the right caudate showed greater activation during action withholding than action cancellation (Fig. 6e).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“By overlapping the neural activity pattern of each category of response inhibition tasks, three main clusters of activation were observed at the (1) right IFG extending to insula, (2) right median cingulate and paracingulate gyri, and (3) right superior parietal gyrus (Fig. 5).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
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In the paper
“Contrast analyses aiming to elucidate the unique neural substrates for each subcategory revealed that interference resolution, relative to action withholding/cancellation, produced stronger activation in the ventral attention network (the left supplementary area, precentral gyrus, and superior parietal gyrus).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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 regions activated by interference resolution were located in a subset of the previously mentioned clusters (Fig. 3b), including the left supplementary motor area, the left inferior parietal lobule, the left precentral gyrus, the right insula, the right middle frontal gyrus, and bilateral inferior frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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 regions activated by interference resolution were located in a subset of the previously mentioned clusters (Fig. 3b), including the left supplementary motor area, the left inferior parietal lobule, the left precentral gyrus, the right insula, the right middle frontal gyrus, and bilateral inferior frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“Mapping the activation patterns to a brain functional network atlas revealed that the fronto-parietal and ventral attention networks were the core neural systems that were commonly engaged in different processes of response inhibition.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Abstract
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“On the other hand, action withholding/cancellation primarily engaged the fronto-striatal circuit.”
- Also stated in: § Conclusions · plain
“On the other hand, action withholding/cancellation primarily engaged the fronto-striatal circuit.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Abstract
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Also stated in: § Conclusions · plain
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
“Chi-square analyses revealed that the network distributions of interference resolution versus action withholding/action cancellation were significantly different (interference resolution vs. action withholding, χ 2 = 19.93, df = 6, p = 0.003; interference resolution vs. action cancellation, χ 2 = 22.37, df = 6, p = 0.001).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“There were activations in the (1) right triangular part of the inferior frontal gyrus, which extended to the insula and middle frontal gyrus; (2) right angular gyrus, which extended to the middle temporal gyrus and supramarginal gyrus; (3) right supplementary motor area, which extended to the median cingulate and paracingulate gyri; (4) left insula, which extended to the putamen; and (5) right p”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“There were activations in the (1) right triangular part of the inferior frontal gyrus, which extended to the insula and middle frontal gyrus; (2) right angular gyrus, which extended to the middle temporal gyrus and supramarginal gyrus; (3) right supplementary motor area, which extended to the median cingulate and paracingulate gyri; (4) left insula, which extended to the putamen; and (5) right p”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“Notably, action inhibition compared to interference resolution also engages neural networks in the striatum areas, such as the putamen and pallidum.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“We compared high (simple) and low (complex) frequencies of NoGo stimulus (i.e., equal to 50% and less than 50%, respectively) and found that the network correlate distributions of activated areas did not differ significantly (Tables S6, S7, respectively, in the Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Methodological considerations
plain- Asserted: passes — The authors put it forward as true.
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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
“Through synthesizing data from different tasks tapping into response inhibition, we found that brain areas such as the right inferior frontal gyrus and anterior insula, which are distributed throughout the fronto-parietal network, as well as areas such as the right MCG in the ventral attentional network, are commonly activated in all of the tasks which we included.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
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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
“Independent of the task types, activation of the right hemispheric regions (the IFG, insula, median cingulate, and paracingulate gyri) and the superior parietal gyrus was common across the cognitive processes studied.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Conclusions
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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
“Mapping the activation patterns to a brain functional network atlas revealed that the fronto-parietal and the ventral attention network were the core neural systems commonly engaged during the different processes of response inhibition.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Conclusions
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“As the MNI/Talairach coordinate bias associated with reference frame (position and orientation) and scale (brain size) can be substantially reduced using the best-fit tal2icbm transform (Lancaster et al. 2007), coordinates that were not reported in the MNI space were transformed using the Lancaster transformation.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Data extraction
What the sources say
- Not checked yetcites Lancaster et al. 2007 source
plaindirect- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
In the paper
“This process is usually tested by the Stroop, Simon, Flanker, SRC, and antisaccade tasks (Stahl et al. 2014; van Velzen et al. 2014).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Measurement of response inhibition
What the sources say
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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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
“Our analyses suggested that no specific paradigms disproportionately altered the results (Table 5 and Fig. S1 in Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Experiment categorization
hedged- Asserted: passes — The authors put it forward as true.
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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
“We found that the network correlate distributions of activated areas were not significantly different (Table S6 and S7 in Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Experiment categorization
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“For example, Sebastian et al. (2013b), using hybrid tasks combining Simon, Go/NoGo, and stop signals, demonstrated that areas such as the IFG and the bilateral parietal regions showed activation across all tasks.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Neural correlates of response inhibition
What the sources say
- Not checked yetcites Sebastian et al. 2013b
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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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
“we did a Chi-square test and found that the network correlates distribution between all contrasts, and contrasts that only included the stop–go paradigm did not differ at a significant level (detailed condition comparisons of each stop signal task and the results are presented in Table S8 in the Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Experiment categorization
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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In the paper
“Given that response inhibition is subserved by a large-scale distributed system that includes the bilateral cortical and subcortical regions (Swick et al. 2011), conceiving of a large-scale network rather than the classical region-based functional-anatomy analysis will be more suitable for this purpose (Woo et al. 2014; Hampshire and Sharp 2015).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Neural correlates of response inhibition
What the sources say
- Not checked yetcites Swick et al. 2011 source
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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None of the sources cited for this claim have been checked yet.
In the paper
“Overall, we propose that the right inferior frontal gyrus, insula, and MCG may comprise the core neural network of the supervisory attentional control system needed to implement a nondominant, context-dependent behavior against a competing behavioral alternative (Alexander and Brown 2010; Cieslik et al. 2015).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Notably, higher MCG activity was observed when subjects were required to perform a dual task, e.g., deciding which hand will perform the action and when to give the response (Hoffstaedter et al. 2013, 2014).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not matchedcites Hoffstaedter et al. 2013, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
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
“Overall, our results suggest that response inhibition is a multidimensional cognitive process involving multiple neural regions and networks for coordinating optimal performance.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Abstract
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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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
“Finally, the right MCG is engaged in monitoring conflicts so as to promote task-relevant actions.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“Similarly, consistent involvement in a very similar network was also observed in a study of the neural correlates of sustained attention (Langner and Eickhoff 2013).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Langner and Eickhoff 2013 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a 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
“The results obtained in this study were proven replicable under different validation schemes.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Validation analysis
boosted- Asserted: passes — The authors put it forward as true.
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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
“Thus, inference resolution, relative to action inhibition, may draw upon significant coherent activation in the ventral attention network, especially the left pre-supplementary motor area (pre-SMA) and the left superior parietal gyrus.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
hedgedconditional- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
In the paper
“These findings are in line with the findings of previous studies on the neural correlates of working memory, sustained attention, and reasoning.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Studies have suggested that the time difference in presenting the NoGo and stop signals induces distinct activation patterns (Swick et al. 2011; Rubia et al. 2001), such as a greater extent of activation in the right inferior and superior frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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- Based: passes — The paper gives a reason why it holds.
In the paper
“Overall, stronger ventral attention network activation during interference resolution compared to action inhibition may indicate that the former is to a greater extent dependent on response selection processes modulated by goals and conflicts (Nee et al. 2007).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Nee et al. 2007 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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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
“Participants then need to actively reorient attention to the nondominant spatial location to initiate an adequate response.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
plaindirect- Asserted: passes — The authors put it forward as true.
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In the paper
“The inhibitory load is likely to be higher in cancellation than withholding (Schachar et al. 2007).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Schachar et al. 2007 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“Overall, our results indicate common and unique neural activation patterns for the three subcategories of processes associated with response inhibition.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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None of the sources cited for this claim have been checked yet.
In the paper
“Thus, domain-oriented regions within the fronto-parietal network are widely involved in cognitive control components including response inhibition, working memory, sustained attention, and reasoning (Miyake et al. 2000; Chan et al. 2008).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“These paradigms induce an automatic attention reorientation and response preparation in the direction of the dominant but task-irrelevant stimuli.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Lesion studies also suggest that lesions of the medial striatum in rodents lead to overall longer stop signal reaction time (Eagle and Robbins 2003).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Eagle and Robbins 2003 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a 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
“We adopted the leave-one-out cross-validation method to test homogeneity and determined that all brain activation areas showed highly replicable network distribution profiles (Table S9; Figure S1 in Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Methodological considerations
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Further supporting the notion of time sequence difference between action withholding and action cancellation, Sebastian et al. (2013b) used a hybrid response inhibition task to study functional and spatial segregation and the specialization of underlying neural sub-processes of response inhibition and found that neural activity levels in the fronto-parietal network follow a quantitative”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Sebastian et al. (2013b)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Third, the use of the data generated from stop signal tasks to assess action cancellation drew more on proactive than reactive control for inhibiting inappropriate responses (Aron 2011; Vink et al. 2014; Van Belle et al. 2014; Vink et al. 2015).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Methodological considerations
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“However, such suggestions were derived from meta-analyses that included less than 30 experiments and thus may not be sufficiently robust (Eickhoff et al. 2016b).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Methodological considerations
What the sources say
- Not checked yetcites Eickhoff et al. 2016b
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“As such, simple and complex Go/NoGo tasks may not be perfectly matched across the included studies.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Methodological considerations
What the sources say
- Not checked yetcites Simmonds et al. 2008 source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“Regarding the core neural correlates of response inhibition, one implication is that individuals who are impaired in one kind of response inhibition task may also be impaired in other tasks, because common activations unite the different response inhibition tasks, such as within the right inferior frontal gyrus.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“In line with these animal findings, patients with damaged basal ganglia are slower to stop their responses than controls (Rieger et al. 2003).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Rieger et al. 2003 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Moreover, specific neural correlates for each subcategory of response inhibition may also help us to identify phenotypes for mental disorders (Van Belle et al. 2014), such as schizophrenia and ADHD.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
- Not checked yetcites Van Belle et al. 2014 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a 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
“The result of this test demonstrated that the network correlate distributions between all contrasts and those contrasts that included only the Stop–Go tasks did not differ significantly (detailed condition comparisons of each stop signal task and the results are presented in Tables S2 and S9 in the Supplementary Materials).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Methodological considerations
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Furthermore, the use of an early version of GingerALE (e.g., Swick et al. 2011; Simmonds et al. 2008), which has had reported implementation errors, may lead to false positives due to the overly liberal statistical results during multi-comparison tests (Eickhoff et al. 2016a).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
- Not checked yetcites Eickhoff et al. 2016a
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“Accordingly, individuals with motor action inhibition deficits may also demonstrate impairment in interference resolution.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“The neural resource required increased gradually when progressing through these three stages of general information processing (Schank 2014; Marois and Ivanoff 2005).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Schank 2014
- Not checked yetcites Marois and Ivanoff 2005 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Thus, the neural activity pattern in the striatum plus the frontal areas comprises a cortical circuit related to the control of response inhibition, specifically response execution (Aron 2011).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Aron 2011 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Many functional and structural MRI studies have pointed to a fronto-striatal “circuit” underlying response inhibition in the Go/NoGo paradigm (Durston et al. 2003; Wessa et al. 2007).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Simmonds et al. (2008), for example, included only 11 studies in their meta-analysis.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
- Not checked yetcites Simmonds et al. (2008) source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Furthermore, Go/NoGo tasks also elicit striatal activation.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 33
- The quote only partly states this claim. 1
- Probably not a substantial claim. 24
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 activations were distributed in the fronto-parietal network (39%), the ventral attention network (28%), the dorsal attention network (14%), and the default mode network (15%) (Fig. 4c).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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 activation distribution included the fronto-parietal network (35%), the ventral attention network (38%), the default mode network (16%), and the dorsal attention network (8%) (Fig. 4d).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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
“Interference resolution was found to draw on the ventral attention network, while fronto-parietal network was implicated in action withholding/cancellation.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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
“In this study, we found that across all 225 studies with 323 experiments, areas in the dorsal lateral frontal cortex, pre-supplementary motor area, and temporal parietal junction were consistently activated during all response inhibition tasks (Fig. 3a), i.e., activation was mainly distributed in the fronto-parietal network.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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
“Furthermore, we observed that interference resolution, which was related to greater activation in the ventral and dorsal attention networks (Fig. 6a, b), involved the left supplementary area, the left precentral gyrus, and the left superior parietal gyrus.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Based on the reported characterizations of functional neural networks, these clusters appeared to be located at the ventral attention network (45%), the dorsal attention network (27%), and the fronto-parietal network (20%) (Table 1; Fig. 4b).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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 activated regions included the bilateral insula cortex, which extended to the basal ganglia (e.g., caudate and putamen) and inferior frontal gyrus; the right supplementary motor area, which extended to the median cingulate and paracingulate gyri; the bilateral superior temporal gyri; and the right inferior parietal lobule (Table 3; Fig. 3d).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Brain activation patterns of each category
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one. The quote only partly states this claim.
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
“Meanwhile, subtraction analyses suggested that some specific neural correlates are involved in different categories of response inhibition tasks”
- Also stated in: § Conclusions · plain
“Subtraction analyses elucidated the distinct neural substrates of interference resolution, action withholding, and action cancellation”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § Conclusions · plain
In the paper
“Indeed, studies have suggested that response inhibition is correlated with the connections between the cingulo-opercular network (salience network) and fronto-parietal network, and that default mode network activity might be actively downregulated by an inhibitory module within the fronto-parietal network (Leech et al. 2011).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Neural correlates of response inhibition
What the sources say
- Not checked yetcites Leech et al. 2011 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Nonetheless, unique neural networks for the three subcategories of processes underpinning response inhibition have also been suggested (Rubia et al. 2001; Sebastian et al. 2013b; Chevrier et al. 2007; van Velzen et al. 2014; Sebastian et al. 2013a).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Neural correlates of response inhibition
What the sources say
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Dysfunctional response inhibition is a core symptom observed in various mental disorders, including attention deficit hyperactivity disorder (Schachar et al. 2007), schizophrenia (Vercammen et al. 2012), and depression (Palazidou 2012), as well as learning difficulties (Eickhoff et al. 2009) and behavioral problems (Liu et al. 2012).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
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
“Random selections of 68 contrasts from action withholding and action cancellation were performed to test the effect of the experiment numbers. We repeated the MKDA analysis using the same settings, and Chi-square analyses were performed to compare the activated voxels in the seven network correlates to those of our main analyses and the random selected studies.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Effect of contrast numbers
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Paradigms such as the stroop, Flanker, Simon, stimulus response compatibility (SRC), antisaccade tasks, stop signal, and Go/NoGo tasks, which require a response to a target stimulus among irrelevant/distracting stimuli, are commonly regarded as paradigms that involve inhibitory action control (Nigg 2000) and are commonly used for the investigation of response inhibition mechanisms (Nee et al. 2007”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Measurement of response inhibition
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
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 reported meta-analytic results in this study represent consistently activated regions across studies: regions in which significant activations were observed in the local neighborhood by more studies than would be expected by chance (p < 0.05, FWE corrected across the entire brain).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Multilevel kernel density analysis (MKDA)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
“The family wise error (FWE) rate was estimated with a Monte Carlo simulation to correct for multiple comparisons, and a natural null hypothesis was that the “activated” regions are randomly distributed throughout the brain.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Multilevel kernel density analysis (MKDA)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“For example, the Simon task (interference resolution) was found to stimulate the pre-motor and parietal regions to a greater extent than action cancellation (stop signals), whereas action cancellation was found to elicit stronger activation in the bilateral posterior inferior frontal gyrus/insula and the right striatum than action withholding (Go/NoGo) (Sebastian et al. 2013b).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Neural correlates of response inhibition
What the sources say
- Not checked yetcites Sebastian et al. 2013b
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
“The same statistical analyses and thresholding approaches were applied for all meta-analyses in this study.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Multilevel kernel density analysis (MKDA)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“We classified stop signal tasks as those that trigger action cancellation (Aron et al. 2004; Schachar et al. 2007).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Experiment categorization
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“For example, the Simon task (interference resolution) was found to stimulate the pre-motor and parietal regions to a greater extent than action cancellation (stop signals), whereas action cancellation was found to elicit stronger activation in the bilateral posterior inferior frontal gyrus/insula and the right striatum than action withholding (Go/NoGo) (Sebastian et al. 2013b).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Neural correlates of response inhibition
What the sources say
- Not checked yetcites Sebastian et al. 2013b
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Indeed, studies have suggested that response inhibition is correlated with the connections between the cingulo-opercular network (salience network) and fronto-parietal network, and that default mode network activity might be actively downregulated by an inhibitory module within the fronto-parietal network (Leech et al. 2011).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Introduction > Neural correlates of response inhibition
What the sources say
- Not checked yetcites Leech et al. 2011 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
“Pre-SMA is associated with monitoring and selecting appropriate motor response output (Nachev et al. 2008; Iannaccone et al. 2015) and the superior parietal gyrus has an essential role in re-directing attention by promoting attention allocation to nonspatial properties of stimuli (Mevorach et al. 2009; Wang et al. 2015).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
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
“Based on the previous findings and the current results on the common areas involved in different response inhibition tasks, we argue that when performing these tasks, individuals need to maintain task requirements across trials and goal-corresponding action inhibition through engagement of the right IFG.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The activation differences observed between these two processes suggest that action withholding and cancellation may interact at different times within the action generation or action inhibition process, thus jointly influencing motor response inhibition (Sebastian et al. 2013a; Dambacher et al. 2014; Cieslik et al. 2015).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
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
“Action withholding encompasses future action selection and inhibition, whereas action cancellation goes beyond this to demand inhibition of an ongoing response.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
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 contrast, the right insula is required to overcome preponderant tendencies, notice the salient stimuli, and coordinate various control mechanisms.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Nee et al. (2013) reported that there was widespread bilateral fronto-parietal network activation during various types of working memory tasks.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Nee et al. (2013) source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
“The right IFG, besides detecting changes in stimulus features (Sharp et al. 2010; Dodds et al. 2010), facilitates infrequent action-related events by activating nondominant but relevant responses while inhibiting automatic but irrelevant actions at the same time.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Moreover, the MCG has also been implicated in performance monitoring via conflict detection in information processing, reallocation of attentional resources according to task-relevant information, and corresponding action formation (Badzakova-Trajkov et al. 2009).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Badzakova-Trajkov et al. 2009 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
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
“Notably, similar results were also detected when input contrast counts were taken into account (Tables S5, S9), which demonstrated that the neural network involved in response inhibition was stable and robust.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Along this line of thought, lesion studies have also indicated that stop signal task performance worsens as the size of an inferior frontal gyrus lesion increases (Aron et al. 2003), which supports an inhibitory role of the inferior frontal gyrus in resolving conflicts during response execution.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Aron et al. 2003 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“By synthesizing semantic and visuospatial analogy tasks, Hobeika et al. (2016) observed that there were domain-oriented regions in the inferior and middle frontal gyri.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Hobeika et al. (2016) source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
“This process may require enhanced consideration of the objective and engagement of resources for conflict management.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“Friedman and Miyake 2004 indicated that subjects might experience several different mental processes during response inhibition tasks: maintaining the stimulus, which requires appropriate response in working memory; detecting conflicts for stimuli inconsistent with the goal; overcoming preponderant tendencies; and choosing correct responses.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Friedman and Miyake 2004 source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“This observation is in line with the finding of previous meta-analytic studies on the topic (e.g., Cieslik et al. 2015).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion
What the sources say
- Not checked yetcites Cieslik et al. 2015 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In this meta-analysis, the experimental paradigms classified as evoking interference resolution were those that required conflict resolution and inhibition of response tendencies for successful responding (Nee et al. 2007).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Nee et al. 2007 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“The right anterior insula has been proposed to represent a hub that controls brain activity across different tasks and stimulus modalities to initiate and adjust cognitive control mechanisms (Cai et al. 2014).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Cai et al. 2014 source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The previous research has demonstrated a linear relationship between the neural activity of the anterior insula and task performance across three response inhibition tasks (Flanker, Go/NoGo etc.) (Wager et al. 2005), which were included in the current meta-analysis.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Common neural networks
What the sources say
- Not checked yetcites Wager et al. 2005 source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
“Three stages of general information processing exist: stimulus identification, response selection, and response execution, or the motor stage.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Moreover, Nee et al. (2007) reported that unique neural activity patterns were associated with different response inhibitions tasks, but they did not compare these tasks to each other.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
- Not checked yetcites Nee et al. (2007) source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These studies are limited, however, in that they focus on a single subcategory of response inhibition (e.g., action withholding using the Go/NoGo task only in Simmonds et al. 2008), included a small sample size (Criaud and Boulinguez 2013; Simmonds et al. 2008; Buchsbaum et al. 2005), failed to compare subcategories directly (Nee et al. 2007), or used a less reliable version of GingerALE (Eickhoff”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Herein, the progressive increase of neural activations by interference resolution, action withholding, and action cancellation may imply that response inhibition may contain subcomponents that interact in a sequential fashion; action withholding is an intermediate process within the sequence of interference resolution, action withholding, and action cancellation (Sebastian et al. 2013a, b).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Sebastian et al. 2013a, b
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
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
“Instead, response inhibition could be a multidimensional construct consisting of multiple subcategories of cognitive processes, which recruit both common and distinct neural correlates, and hence neural networks.”
- Also stated in: § Conclusions · hedged
“Overall, our results suggest that response inhibition is not a unidimensional construct but consists of subcategories of cognitive processes that engage common as well as distinct neural correlates and networks.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § Conclusions · hedged
In the paper
“This suggests that response inhibition is one core component of cognitive control, and its neural correlates may also co-exist with other components of cognitive control (Duncan 2010).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
- Not checked yetcites Duncan 2010 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In a neurophysiological experiment, striatal activity was recorded, while monkeys were performing a Go/NoGo task. The authors found that the striatum could be important for preparing to stop a response (under working memory) and then implementing inhibitory control over a sustained period (Apicella et al. 1992).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Distinct neural networks
What the sources say
- Not checked yetcites Apicella et al. 1992 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“It has been suggested that the replicability of meta-analyses including less than 30 studies is limited, and the conclusions drawn may, therefore, be questionable (Eickhoff et al. 2016b).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
- Not checked yetcites Eickhoff et al. 2016b
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
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
“Similar studies have begun to emerge (Johnstone et al. 2009), and precise knowledge of the distinct profiles of response inhibition subcomponents will advance diagnostic accuracy.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. 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
“Our meta-analysis included studies adopting a mixture of inhibitory control tasks, such as the Stroop, Simon, and Flanker tasks, with the consequence of increased heterogeneity of study paradigm and designs.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Methodological considerations
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
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
“However, enhanced performance in one or two response inhibition tasks may improve the efficiency of the right inferior frontal gyrus-based inhibition process and produce long-term benefits that affect regulation across multiple response inhibition contexts.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“Both action withholding and cancellation are impaired in ADHD individuals.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
- Not checked yetcites Schachar et al. 2007 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, a specific deficit in inhibiting proponent motor responses during the stop signal task (Mittner et al. 2014) as well as cognitive inhibition in the Stroop task (Lynn et al. 2014; Ganos et al. 2014) was observed in methamphetamine abusers.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Discussion > Implications
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper relies on this without support.
The majority of previous studies on response inhibition have either explored only a single response inhibition task in small samples with limited statistical power or were challenging to compare because they employed various different stimuli, hindering complete conclusions.
“Although the above findings provide important preliminary evidence of the potential common and distinct neural underpinnings of different response inhibition tasks, the majority of studies have either explored only a single response inhibition task in small samples with limited statistical power or were challenging to compare, because they employed various different stimuli (e.g., visual, auditory”
The paper relies on this without support.
Response inhibition tasks all require the suppression of an inappropriate action and the concurrent initiation and execution of a context-appropriate alternative.
“all require the suppression of an inappropriate action and the concurrent initiation and execution of the context-appropriate alternative”
The paper relies on this without support.
The three subcategories of response inhibition (interference resolution, action withholding, action cancellation) are valid and distinct categories for classifying the included paradigms.
“the three subcategories of processes associated with response inhibition”
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
“These networks are differentially engaged by different types of inhibitory control tasks (Hung et al., 2018, Zhang et al., 2017).”
From Inhibitory control in obsessive compulsive disorder: a systematic review and activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies (2022) · cites this paper as Zhang et al., 2017
In the citing paper
“In addition, inhibitory control is not a unitary construct. Rather, inhibitory control is an umbrella term which includes dissociable subprocesses that are underpinned by distinct and only partially overlapping networks (Hung et al., 2018, Swick et al., 2011, Zhang et al., 2017).”
From Inhibitory control in obsessive compulsive disorder: a systematic review and activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies (2022) · cites this paper as Zhang et al., 2017
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.
Rated major: it would touch a result — a value a result rests on, reported and recomputed p-values on opposite sides of the significance level, two passages that conflict with no sign which is right, or a cited work retracted before this paper was published.
In the paper
“First, we identified those brain regions that showed significant convergence across 225 studies comprising 3453 foci from 323 contrasts.”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Methods and materials > Multilevel kernel density analysis (MKDA)
Reported 3453 · recomputed 4272
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
“Brain areas in bilateral insula and the right caudate showed greater activation during action withholding than action cancellation (Fig. 6e).”
§ Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis > Results > Activation differences among different classifications
“| Caudate | L | −10 | 10 | −2 | 0.11 | 36 |”
Citations
Cites
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Inhibition and the right inferior frontal cortex
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.02.010 · Cited by 3,197
The relations among inhibition and interference control functions: A latent-variable analysis.
Friedman, N. P., & Miyake, A. (2004) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.133.1.101 · Cited by 2,309 · cited 2×
“Friedman and Miyake 2004 indicated that subjects might experience several different mental processes during response inhibition tasks: maintaining the stimulus, which requires appropriate response in working memory; detecting conflicts for stimuli inconsistent with the goal; overcoming preponderant…”
BackgroundMethodThe role of the posterior cingulate cortex in cognition and disease
Leech, R., & Sharp, D. J. (2014) · Brain · doi:10.1093/brain/awt162 · Cited by 2,247
Inhibition and the right inferior frontal cortex: one decade on
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.12.003 · Cited by 2,166
Nigg, J. T. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.2.220 · Cited by 1,941 · cited 2×
“…a response to a target stimulus among irrelevant/distracting stimuli, are commonly regarded as paradigms that involve inhibitory action control (Nigg 2000) and are commonly used for the investigation of response inhibitionmechanisms (Nee et al. 2007; vanVelzen et al. 2014; Swick et al. 2011;…”
Background
Cited by
Sorted by citations
A Review of Heterogeneity in Attention Deficit/Hyperactivity Disorder (ADHD)
Luo, Y., Weibman, D., Halperin, J. M., & Li, X. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00042 · Cited by 394
“Abnormal functional activation and connectivity in OFC and DLPFC have been suggested to influence behavioral inhibition, rewardmotivation issues, working memory, attention, planning, and executive control in children with ADHD (Schulz et al., 2004; Bush, 2010; Wilbertz et al., 2012; Janssen et al., 2015; Zhang et al.,…”
BackgroundImaging suicidal thoughts and behaviors: a comprehensive review of 2 decades of neuroimaging studies
Schmaal, L., van Harmelen, A.-L., Chatzi, V., Lippard, E. T. C., Toenders, Y. J., Averill, L. A., Mazure, C. M., & Blumberg, H. P. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0587-x · Cited by 373
Lukito, S., Norman, L., Carlisi, C., Radua, J., Hart, H., Simonoff, E., & Rubia, K. (2020) · Psychological Medicine · doi:10.1017/s0033291720000574 · Cited by 248
Norman, L. J., Taylor, S. F., Liu, Y., Radua, J., Chye, Y., De Wit, S. J., Huyser, C., Karahanoglu, F. I., Luks, T., Manoach, D., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.11.010 · Cited by 189
Hartwigsen, G., Neef, N. E., Camilleri, J. A., Margulies, D. S., & Eickhoff, S. B. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy049 · Cited by 167
Metadata
- Authors
- Zhang, R., Geng, X., & Lee, T. M. C.
- Affiliations
- University of Hong Kong (HK)
- Corresponding author
- Lee, Tatia M. C.
- Venue
- Brain Structure and Function
- Published
- 2017-05-27
- Volume
- 222
- Issue
- 9
- Pages
- 3973-3990
- ISSN
- 1863-2653 (ISSN-L)
- 1863-2661
- PMC
- PMC5686258
- OpenAlex
- W2620553762
- Semantic Scholar
- 6eb34688ed62fa1af95e749f7530515e077dab88
- Cited by
- 398
- References
- 89
- Citations by year
- 2026: 26 · 2025: 63 · 2024: 61 · 2023: 55 · 2022: 53 · 2021: 59 · 2020: 33 · 2019: 32 · 2018: 14 · 2017: 1
- FWCI
- 12.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Brain Structure and Function (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion, cc-by-nc-nd)
- Funders
- This project is supported by The University of Hong Kong May Endowed Professorship in Neuropsychology. (NA)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- response inhibition, inhibitory control, interference resolution, action cancellation, right inferior frontal cortex, ventral attention network, frontoparietal network, frontostriatal circuits, right hemisphere activation, insula, paracingulate gyrus, superior parietal gyrus
- MeSH terms
- Brain Mapping, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Inhibition, Psychological, Functional Laterality, Magnetic Resonance Imaging, Neural Pathways, Oxygen
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