Neural and behavioral correlates of selective stopping: Evidence for a different strategy adoption

Sánchez-Carmona, Alberto J.; Albert, Jacobo; Hinojosa, José Antonio

doi:10.1016/j.neuroimage.2016.06.043

Cited by 17 publications

(26 citation statements)

References 64 publications

(109 reference statements)

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“…Hence, the contrast sSTOP vs. cAC-GO is the most appropriate to identify the neural correlates of "pure" response inhibition, independent of attentional and error processing (Sánchez-Carmona et al, 2016). The dissociation of inhibitory from attentional processes by an appropriate task design suggests that the rIFG does not, at least not primarily, serve an attentional role in response inhibition.…”

Section: Involvement Of Beta-band Oscillations In Response Inhibitionmentioning

confidence: 99%

“…More importantly, the timing of the initiation of stop and go processes is comparable between conditions. This is not the case when successful stop (sSTOP) trials are contrasted with GO or unsuccessful stop (uSTOP) trials (Sánchez-Carmona et al, 2016). Note that the race model assumes that in sSTOP trials, the go process is slower than the stop process, while in uSTOP trials it is vice versa.…”

Section: Introductionmentioning

confidence: 99%

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Right inferior frontal gyrus implements motor inhibitory control via beta-band oscillations in humans

Schaum

Pinzuti

Sebastian

et al. 2021

eLife

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Motor inhibitory control implemented as response inhibition is an essential cognitive function required to dynamically adapt to rapidly changing environments. Despite of over a decade of research on the neural mechanisms of response inhibition, it remains unclear, how exactly response inhibition is initiated and implemented. Using a multimodal MEG/fMRI approach in 59 subjects our results reliably reveal that response inhibition is initiated by the right inferior frontal gyrus (rIFG) as a form of attention-independent top-down control that involves the modulation of beta-band activity. Furthermore, stopping performance was predicted by beta-band power and beta-band connectivity was directed from rIFG to pre-supplementary motor area (pre-SMA), indicating rIFG's dominance over pre-SMA. Thus, these results strongly support the hypothesis that rIFG initiates stopping, implemented by beta-band oscillations with potential to open up new ways of spatially localized oscillation-based interventions.

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Section: Involvement Of Beta-band Oscillations In Response Inhibitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Right inferior frontal gyrus implements motor inhibitory control via beta-band oscillations in humans

Schaum

Pinzuti

Sebastian

et al. 2021

eLife

View full text Add to dashboard Cite

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“…The authors demonstrated at least the behavioral similarity of both conditions by comparing SSRT and "continue signal reaction time" (CSRT, i. e. approximately, the time between AC-GO signal and response, a measure adopted from Mayse et al, 2014). Hence, the contrast sSTOP vs. cAC-GO is the most appropriate to identify the neural correlates of response inhibition, independent of attentional and error processing (Sánchez-Carmona et al, 2016). The dissociation of inhibitory from attentional processes by an appropriate task design suggests that the rIFG does not, at least not primarily, serve an attentional role in response inhibition.…”

Section: S E L E C T I V E S T O P P I N G T a S K S U G G E S T S T mentioning

confidence: 99%

“…Median SSRT was 237 ms. More importantly, when contrasting sSTOP and cAC-GO trials, these trials should be also matched in terms of the underlying distribution of go and stop processes according to the independent horse-race model. This is important because the neural correlates of response inhibition revealed by this contrast should not rely on mere timing differences between the underlying go and stop processes (Sánchez-Carmona et al, 2016). Although the distribution of go and stop processes cannot be directly accessed, the horse-race model implies that in sSTOP trials, the response can be successfully inhibited because the go process is slower than the stop process.…”

Section: P R E P R O C E S S I N G O F M E G D a T Amentioning

confidence: 99%

“…Swann et al (2012) used ECoG in a single patient, and Wessel et al (2013) in four patients, respectively, but Wessel et al (2013) could only cover the rIFC region, not pre-SMA. Sánchez-Carmona et al (2016) used EEG, but did not analyze the temporal activation order of both regions. However, the majority of studies providing high temporal resolution relied on a standard SST (Allen et al, 2018;Bartoli et al, 2018;Fonken et al, 2016;Jha et al, 2015).…”

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confidence: 99%

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Cortical network mechanisms of response inhibition

Schaum

Pinzuti

Sebastian

et al. 2020

Preprint

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SummaryBoth the right inferior frontal gyrus (rIFG) and the pre-supplementary motor area (pre-SMA) are crucial for successful response inhibition. However, the particular functional roles of those two regions have been controversially debated for more than a decade now. It is unclear whether the rIFG directly initiates stopping or serves an attentional function, whereas the stopping is triggered by the pre-SMA. The current multimodal MEG/fMRI study sought to clarify the role and temporal activation order of both regions in response inhibition using a selective stopping task. This task dissociates inhibitory from attentional processes. Our results reliably reveal a temporal precedence of rIFG over pre-SMA. Moreover, connectivity during response inhibition is directed from rIFG to pre-SMA and predicts stopping performance. Response inhibition is implemented via beta-band oscillations. Our findings support the hypothesis that response inhibition is initiated by the rIFG as a form of attention-independent top-down control.

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