Work

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

Year: 2009

Type: article

Abstract: Functional neuroimaging has evolved into an indispensable tool for noninvasively investigating brain function. A recent development of such methodology is the creation of connectivity models for brain regions and related networks, efforts that have been inhibited by notable limitations. We present a new method for ascertaining functional connectivity of specific brain structures using metaanalytic connectivity modeling (MACM), along with validation of our method using a nonhuman primate database. Drawing from decades of neuroimaging research and spanning multiple behavioral domains, the method overcomes many weaknesses of conventional connectivity analyses and provides a simple, automated alternative to developing accurate and robust models of anatomically-defined human functional connectivity. Applying MACM to the amygdala, a small structure of the brain with a complex network of connections, we found high coherence with anatomical studies in nonhuman primates as well as human-based theoretical models of emotive-cognitive integration, providing evidence for this novel method's utility.

Source: Human Brain Mapping

DOI: 10.1002/hbm.20854

Authors: Jennifer L. Robinson, Angela R. Laird, David C. Glahn, William R. Lovallo, Peter T. Fox

Institutions: Scott & White Memorial Hospital, The University of Texas at San Antonio Health Science Center, Yale University, Oklahoma City VA Medical Center

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute on Alcohol Abuse and Alcoholism, National Institute of Mental Health