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Correlating Gray Matter Volume with Individual Difference in the Flanker Interference Effect.

Chen C, Yang J, Lai J, Li H, Yuan J, Abbasi Nu - PLoS ONE (2015)

Bottom Line: The Eriksen Flanker task has been widely used as a measurement of cognitive control, however till now information is still scarce about how the neuroanatomical properties are related to performance in this task.These areas included the bilateral prefrontal gyri, left insula and inferior temporal gyrus, the left inferior parietal lobule.These results underscore the importance of the fronto-parietal and insula systems to the brain functioning of interference inhibition from the neuroanatomical perspective.

View Article: PubMed Central - PubMed

Affiliation: School of Psychology, Southwest University, Chongqing, China; Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.

ABSTRACT
The Eriksen Flanker task has been widely used as a measurement of cognitive control, however till now information is still scarce about how the neuroanatomical properties are related to performance in this task. Using voxel-based morphometry technique (VBM), the current study identified a set of distributed areas where the gray matter volume (GM) correlated positively with participants' efficiency in interference inhibition. These areas included the bilateral prefrontal gyri, left insula and inferior temporal gyrus, the left inferior parietal lobule. Further analysis using a novel machine learning algorithm with balanced cross-validation procedure confirmed that in these areas the GM-behavioral association was unlikely a byproduct of outlier values, instead, the gray matter volume could predict reliably participants' interference inhibition efficiency. These results underscore the importance of the fronto-parietal and insula systems to the brain functioning of interference inhibition from the neuroanatomical perspective.

No MeSH data available.


Related in: MedlinePlus

The clusters revealed by the voxel-wise linear regression model.In these clusters, the gray matter volume (vertical axis) correlated negatively with the normalized reaction time cost (horizontal axis, calculated as follow: (rt_incongruent-rt_congruent)/rt_neutral.
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pone.0136877.g002: The clusters revealed by the voxel-wise linear regression model.In these clusters, the gray matter volume (vertical axis) correlated negatively with the normalized reaction time cost (horizontal axis, calculated as follow: (rt_incongruent-rt_congruent)/rt_neutral.

Mentions: The multiple regression analysis revealed five major clusters with significant negative correlation between gray matter volume and the normalized reaction time cost (height threshold: p<0.005, extent threshold: 470 voxels, corrected for multiple comparisons), encompassing the left insula/superior temporal gyri/left inferior temporal/parahippocampal gyri, bilateral prefrontal gyri (extending from the left superior frontal gyrus, left medial frontal gyrus to the right superior frontal gyrus and medial frontal gyrus), right inferior parietal lobule, right middle frontal gyrus (Fig 2 and Table 1). No clusters were found demonstrating positive correlation with the normalized reaction time cost. No clusters were found to show significant correlation between regional gray matter volume and normalized accuracy cost either.


Correlating Gray Matter Volume with Individual Difference in the Flanker Interference Effect.

Chen C, Yang J, Lai J, Li H, Yuan J, Abbasi Nu - PLoS ONE (2015)

The clusters revealed by the voxel-wise linear regression model.In these clusters, the gray matter volume (vertical axis) correlated negatively with the normalized reaction time cost (horizontal axis, calculated as follow: (rt_incongruent-rt_congruent)/rt_neutral.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4554993&req=5

pone.0136877.g002: The clusters revealed by the voxel-wise linear regression model.In these clusters, the gray matter volume (vertical axis) correlated negatively with the normalized reaction time cost (horizontal axis, calculated as follow: (rt_incongruent-rt_congruent)/rt_neutral.
Mentions: The multiple regression analysis revealed five major clusters with significant negative correlation between gray matter volume and the normalized reaction time cost (height threshold: p<0.005, extent threshold: 470 voxels, corrected for multiple comparisons), encompassing the left insula/superior temporal gyri/left inferior temporal/parahippocampal gyri, bilateral prefrontal gyri (extending from the left superior frontal gyrus, left medial frontal gyrus to the right superior frontal gyrus and medial frontal gyrus), right inferior parietal lobule, right middle frontal gyrus (Fig 2 and Table 1). No clusters were found demonstrating positive correlation with the normalized reaction time cost. No clusters were found to show significant correlation between regional gray matter volume and normalized accuracy cost either.

Bottom Line: The Eriksen Flanker task has been widely used as a measurement of cognitive control, however till now information is still scarce about how the neuroanatomical properties are related to performance in this task.These areas included the bilateral prefrontal gyri, left insula and inferior temporal gyrus, the left inferior parietal lobule.These results underscore the importance of the fronto-parietal and insula systems to the brain functioning of interference inhibition from the neuroanatomical perspective.

View Article: PubMed Central - PubMed

Affiliation: School of Psychology, Southwest University, Chongqing, China; Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.

ABSTRACT
The Eriksen Flanker task has been widely used as a measurement of cognitive control, however till now information is still scarce about how the neuroanatomical properties are related to performance in this task. Using voxel-based morphometry technique (VBM), the current study identified a set of distributed areas where the gray matter volume (GM) correlated positively with participants' efficiency in interference inhibition. These areas included the bilateral prefrontal gyri, left insula and inferior temporal gyrus, the left inferior parietal lobule. Further analysis using a novel machine learning algorithm with balanced cross-validation procedure confirmed that in these areas the GM-behavioral association was unlikely a byproduct of outlier values, instead, the gray matter volume could predict reliably participants' interference inhibition efficiency. These results underscore the importance of the fronto-parietal and insula systems to the brain functioning of interference inhibition from the neuroanatomical perspective.

No MeSH data available.


Related in: MedlinePlus