Cortical and subcortical contributions to interference resolution and inhibition – An fMRI ALE meta-analysis

Isherwood, S.J.S.; Keuken, Max C.; Bazin, Pierre‐Louis; Forstmann, Birte U.

doi:10.1016/j.neubiorev.2021.07.021

Cited by 26 publications

(12 citation statements)

References 159 publications

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“…Therefore, one explanation is that the FS > GO contrast reflects an error mechanism. This is perhaps why this is not the first aggregatory study that has found limited activation of basal ganglia regions when specifically looking at successful response inhibition (Hung et al, 2018;Isherwood, Keuken, et al, 2021;R. Zhang et al, 2017).…”

Section: Discussionmentioning

confidence: 97%

The canonical stopping network: Revisiting the role of the subcortex in response inhibition

Isherwood

Kemp

Miletić

et al. 2023

Preprint

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This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful response inhibition. We provide evidence that the canonical inhibition pathways may not be recruited during successful response inhibition during the stop signal task (SST). Instead, subcortical nodes including the substantia nigra, subthalamic nucleus, thalamus, and ventral tegmental area are more likely to be activated during failed stop trials, suggesting that successful inhibition does not rely on the recruitment of these nodes. The findings challenge previous functional magnetic resonance imaging (fMRI) studies of the SST and suggest the need to ascribe a separate function to these networks. We also highlight the substantial effect smoothing can have on the conclusions drawn from task-specific GLMs. This study presents a proof of concept for meta-analytical methods that enable the merging of extensive, unprocessed or unreduced datasets. It demonstrates the significant potential that open-access data sharing can offer to the research community. With an increasing number of datasets being shared publicly, researchers will have the ability to conduct meta-analyses on more than just summary data.

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Section: Discussionmentioning

confidence: 97%

The canonical stopping network: Revisiting the role of the subcortex in response inhibition

Isherwood

Kemp

Miletić

et al. 2023

Preprint

Self Cite

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“…Thus, for the contrast analysis, we did not adopt any corrections, as conventionally done (Eickhoff et al, 2011; for recent metaanalyses using uncorrected threshold, see, e.g., Isherwood et al, 2021;Sacheli et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Social perception in deaf individuals: A meta‐analysis of neuroimaging studies

Arioli,

Segatta,

Papagno

et al. 2023

Human Brain Mapping

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Deaf individuals may report difficulties in social interactions. However, whether these difficulties depend on deafness affecting social brain circuits is controversial. Here, we report the first meta‐analysis comparing brain activations of hearing and (prelingually) deaf individuals during social perception. Our findings showed that deafness does not impact on the functional mechanisms supporting social perception. Indeed, both deaf and hearing control participants recruited regions of the action observation network during performance of different social tasks employing visual stimuli, and including biological motion perception, face identification, action observation, viewing, identification and memory for signs and lip reading. Moreover, we found increased recruitment of the superior‐middle temporal cortex in deaf individuals compared with hearing participants, suggesting a preserved and augmented function during social communication based on signs and lip movements. Overall, our meta‐analysis suggests that social difficulties experienced by deaf individuals are unlikely to be associated with brain alterations but may rather depend on non‐supportive environments.

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“…The majority of these areas serve as information hubs for the nervous system, relaying and regulating the transmission of information to other parts of the brain [2]. Most physiological and functional understanding of these areas is based on investigations using functional MRI (fMRI) in a dedicated specific experimental task [3]. The limitations of such studies are that either they are specific to a function of a single sub-cortical region, limiting the physiological understanding of the behaviour of other sub-cortical areas, or the applied experimental task is conditional to specific aims and hypotheses.…”

Section: Introductionmentioning

confidence: 99%

Functional connectivity of sub-cortical brain regions: disparities and similarities

Alahmadi

2023

NeuroReport

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Sub-cortical grey matter structures, such as the putamen, pallidum, caudate, thalamus, amygdala and hippocampus, play substantial roles in both simple and complex brain functions, including regulation of pleasure and emotions; control of movements; learning; decision-making; language development; and sensory, cognitive, social and other higher-order functions. Most of these regions act as information hubs for the nervous system, relaying and controlling the flow of information to various portions of the brain. To further understand the complex neurophysiological characteristics of sub-cortical areas, the aim of this study was to investigate the functional integrations of six sub-cortical areas to different major functional brain networks. One hundred ninety-eight healthy individuals were examined using resting-state functional MRI. The seeds identified in this study were six sub-cortical deep grey matter regions, namely putamen, pallidum, caudate, thalamus, amygdala and hippocampus. The analysis indicated that the link between the sub-cortical regions and some functional brain networks was similar in some aspects, but there were disparities in the mechanism underlying such a link and in the existence of functional connections between these regions and networks. Despite the substantial functional connectivity linkages between the sub-cortical regions, discrepancies were still noted. On the basis of the connections to the majority of the major brain networks, this study demonstrated the essential functional roles and involvements of the sub-cortical regions. This finding is consistent with an earlier report that revealed a substantial role of the sub-cortical regions in several brain functions.

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Cortical and subcortical contributions to interference resolution and inhibition – An fMRI ALE meta-analysis

Cited by 26 publications

References 159 publications

The canonical stopping network: Revisiting the role of the subcortex in response inhibition

The canonical stopping network: Revisiting the role of the subcortex in response inhibition

Social perception in deaf individuals: A meta‐analysis of neuroimaging studies

Functional connectivity of sub-cortical brain regions: disparities and similarities

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