Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala

From Brede Wiki
Jump to: navigation, search
Paper (help)
Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala
Authors: Jennifer L. Robinson, Angela R. Laird, David C. Glahn, William R. Lovallo, Peter T. Fox
Citation: Human brain mapping 31 (2): 173-174. 2010 February
Database(s): PubMed (PMID/19603407)
DOI: 10.1002/hbm.20854.
PMCID:2872058
Link(s):
Search
Web: Bing Google Yahoo!Google PDF
Article: BASE Google Scholar PubMed
Restricted: DTU Digital Library
Other: NIF
Services
Format: BibTeX Template from PMID
Extract:

Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala describes a coordinate-based meta-analysis method for modeling brain connectivity: meta-analytic connectivity modeling (MACM). The method is tested on amygdala.

[edit] Method

The Harvard-Oxford Atlas was used to delineate the amygdala. Mango was used to create volume statistics.

Studies with activation in amygdala was extracted from the BrainMap database and images were formed by standard coordinate-based meta-analysis.

To compare the results data from the CoCoMac database was used via the CoCoMac-Paxinos-3D Viewer.

[edit] Related papers

  1. Functional coactivation map of the human brain
  2. Functional connectivity of the human amygdala using resting state fMRI
Personal tools