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Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition

Functional areas in fMRI studies are often detected by brain-behavior correlation, calculating across-subject correlation between the behavioral index and the brain activity related to a function of interest. Within-subject correlation analysis is also employed in a single subject level, which utili...

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Autores principales: Yamasaki, Tomoko, Ogawa, Akitoshi, Osada, Takahiro, Jimura, Koji, Konishi, Seiki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972214/
https://www.ncbi.nlm.nih.gov/pubmed/29872386
http://dx.doi.org/10.3389/fnhum.2018.00208
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author Yamasaki, Tomoko
Ogawa, Akitoshi
Osada, Takahiro
Jimura, Koji
Konishi, Seiki
author_facet Yamasaki, Tomoko
Ogawa, Akitoshi
Osada, Takahiro
Jimura, Koji
Konishi, Seiki
author_sort Yamasaki, Tomoko
collection PubMed
description Functional areas in fMRI studies are often detected by brain-behavior correlation, calculating across-subject correlation between the behavioral index and the brain activity related to a function of interest. Within-subject correlation analysis is also employed in a single subject level, which utilizes cognitive fluctuations in a shorter time period by correlating the behavioral index with the brain activity across trials. In the present study, the within-subject analysis was applied to the stop-signal task, a standard task to probe response inhibition, where efficiency of response inhibition can be evaluated by the stop-signal reaction time (SSRT). Since the SSRT is estimated, by definition, not in a trial basis but from pooled trials, the correlation across runs was calculated between the SSRT and the brain activity related to response inhibition. The within-subject correlation revealed negative correlations in the anterior cingulate cortex and the cerebellum. Moreover, the dissociation pattern was observed in the within-subject analysis when earlier vs. later parts of the runs were analyzed: negative correlation was dominant in earlier runs, whereas positive correlation was dominant in later runs. Regions of interest analyses revealed that the negative correlation in the anterior cingulate cortex, but not in the cerebellum, was dominant in earlier runs, suggesting multiple mechanisms associated with inhibitory processes that fluctuate on a run-by-run basis. These results indicate that the within-subject analysis compliments the across-subject analysis by highlighting different aspects of cognitive/affective processes related to response inhibition.
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spelling pubmed-59722142018-06-05 Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition Yamasaki, Tomoko Ogawa, Akitoshi Osada, Takahiro Jimura, Koji Konishi, Seiki Front Hum Neurosci Neuroscience Functional areas in fMRI studies are often detected by brain-behavior correlation, calculating across-subject correlation between the behavioral index and the brain activity related to a function of interest. Within-subject correlation analysis is also employed in a single subject level, which utilizes cognitive fluctuations in a shorter time period by correlating the behavioral index with the brain activity across trials. In the present study, the within-subject analysis was applied to the stop-signal task, a standard task to probe response inhibition, where efficiency of response inhibition can be evaluated by the stop-signal reaction time (SSRT). Since the SSRT is estimated, by definition, not in a trial basis but from pooled trials, the correlation across runs was calculated between the SSRT and the brain activity related to response inhibition. The within-subject correlation revealed negative correlations in the anterior cingulate cortex and the cerebellum. Moreover, the dissociation pattern was observed in the within-subject analysis when earlier vs. later parts of the runs were analyzed: negative correlation was dominant in earlier runs, whereas positive correlation was dominant in later runs. Regions of interest analyses revealed that the negative correlation in the anterior cingulate cortex, but not in the cerebellum, was dominant in earlier runs, suggesting multiple mechanisms associated with inhibitory processes that fluctuate on a run-by-run basis. These results indicate that the within-subject analysis compliments the across-subject analysis by highlighting different aspects of cognitive/affective processes related to response inhibition. Frontiers Media S.A. 2018-05-22 /pmc/articles/PMC5972214/ /pubmed/29872386 http://dx.doi.org/10.3389/fnhum.2018.00208 Text en Copyright © 2018 Yamasaki, Ogawa, Osada, Jimura and Konishi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Yamasaki, Tomoko
Ogawa, Akitoshi
Osada, Takahiro
Jimura, Koji
Konishi, Seiki
Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition
title Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition
title_full Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition
title_fullStr Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition
title_full_unstemmed Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition
title_short Within-Subject Correlation Analysis to Detect Functional Areas Associated With Response Inhibition
title_sort within-subject correlation analysis to detect functional areas associated with response inhibition
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972214/
https://www.ncbi.nlm.nih.gov/pubmed/29872386
http://dx.doi.org/10.3389/fnhum.2018.00208
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