logo
banner

Journals & Publications

Journals Publications Papers

Papers

Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation
Jan 11, 2016Author:
PrintText Size A A

Title: Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation 

Authors: Yang, Y; Fan, LZ; Chu, CY; Zhuo, JJ; Wang, JJ; Fox, PT; Eickhoff, SB; Jiang, TZ

 Author Full Names: Yang, Yong; Fan, Lingzhong; Chu, Congying; Zhuo, Junjie; Wang, Jiaojian; Fox, Peter T.; Eickhoff, Simon B.; Jiang, Tianzi

 Source: NEUROIMAGE, 124 300-309; 10.1016/j.neuroimage.2015.08.027 A JAN 1 2016

 ISSN: 1053-8119

 eISSN: 1095-9572

 Unique ID: WOS:000366646700030

 PubMed ID: 26296500

Abstract:

Parcellation of the human brain into fine-grained units by grouping voxels into distinct clusters has been an effective approach for delineating specific brain regions and their subregions. Published neuroimaging studies employing coordinate-based meta-analyses have shown that the activation foci and their corresponding behavioral categories may contain useful information about the anatomical-functional organization of brain regions. Inspired by these developments, we proposed a new parcellation scheme called meta-analytic activation modeling-based parcellation (MAMP) that uses meta-analytically obtained information. The raw meta data, including the experiments and the reported activation coordinates related to a brain region of interest, were acquired from the Brainmap database. Using this data, we first obtained the "modeled activation" pattern by modeling the voxel-wise activation probability given spatial uncertainty for each experiment that featured at least one focus within the region of interest. Then, we processed these "modeled activation" patterns across the experiments with a K-means clustering algorithm to group the voxels into different subregions. In order to verify the reliability of the method, we employed our method to parcellate the amygdala and the left Brodmann area 44 (BA44). The parcellation results were quite consistent with previous cytoarchitectonic and in vivo neuroimaging findings. Therefore, the MAMP proposed in the current study could be a useful complement to other methods for uncovering the functional organization of the human brain. (C) 2015 Elsevier Inc. All rights reserved.

 

*Click Here to View Full Record