NDLI: Asymmetry of the Dorsal Anterior Cingulate Cortex: Evidences from Multiple Modalities of MRI

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Asymmetry of the Dorsal Anterior Cingulate Cortex: Evidences from Multiple Modalities of MRI

Content Provider	Springer Nature Link
Author	Wang, Jue Liu, Dong Qiang Zhang, Han Zhu, Wei Xuan Dong, Zhang Ye Zang, Yu Feng
Copyright Year	2012
Abstract	The dorsal anterior cingulate cortex (dACC) has been consistently implicated in cognitive control processes. Many studies have found higher fractional anisotropy (FA) in the left anterior cingulum bundle (aCB) than in the right. However, the asymmetry of gray matter density (GMD) is not clear. Using multiple modalities of MRI, we investigated both FA and GMD in the dACC in two independent groups of healthy participants (50 per group, 18–24 years old, half males and half females). Consistent with previous findings, the mean FA of the left aCB was significantly higher than that of the right. Males showed higher FA in the bilateral aCB than females. Voxel-based analysis of GMD in the dACC presented a region-specific significant asymmetry: right > left in the lower part (around callosal sulcus) but left > right in the upper part (around cingulate sulcus). No significant sex effect was found for GMD in the dACC. All these results were almost the same across the two independent groups. The complex pattern of asymmetry in GMD may imply highly differentiated functions of the dACC. Future fine-scale structural and diffusion MRI studies and a battery of cognitive behavioral measurements are needed to fully elucidate the asymmetry of the dACC.
Starting Page	149
Ending Page	157
Page Count	9
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	11
Issue Number	2
e-ISSN	15590089
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-10-09
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dorsal anterior cingulate cortex MRI Hemispheric asymmetry Fractional anisotropy Gray matter density Neurosciences Bioinformatics Computational Biology/Bioinformatics Computer Application in Life Sciences Neurology
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

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