Neural connectivity of the amygdala in the human brain: A diffusion tensor imaging study

Title:

Neural connectivity of the amygdala in the human brain: A diffusion tensor imaging study

Creator:

Jang, Sung Ho and Kwon , Hyeok Gyu

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:4edfa5f6-fc2c-437d-9b41-89585b68aca6
uuid:4edfa5f6-fc2c-437d-9b41-89585b68aca6
doi:10.14311/NNW.2014.24.033

Subject:

Amygdala, neural connectivity, diffusin tensor imaging, emotion, and memory

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Several diffusion tensor imaging (DTI) studies have reported on the anatomical neural tracts between the amygdala and specific brain regions. However, no study on the neural connectivity of the amygdala has been reported. In the current study, using probabilistic DTI tractography, we attempted to investigate the neural connectivity of the amygdala in normal subjects. Forty eight healthy subjects were recruited for this study. A seed region of interest was drawn at the amygdala using the FMRIB Software Library based on probabilistic DTI tractography. Connectivity was defined as the incidence of connection between the amygdala and each brain region at the threshold of 1 and 5 streamlines. The amygdala showed 100% connectivity to the hippocampus, thalamus, hypothalamus, and medial temporal cortex regardless of the thresholds. In contrast, regarding the thresholds of 1 and 5 streamlines, the amygdala showed high conncetivity (over 60%) to the globus pallidus (100% and 92.7%), brainstem (83.3% and 78.1%), putamen (72.9% and 63.5%), occipito-temporal cortex (72.9% and 67.7%), orbitofrontal cortex (70.8 and 43.8%), caudate nucleus (63.5% and 45.8%), and ventromedial prefrontal cortex (63.5% and 31.3%), respectively. The amygdala showed high connectivity to the hippocampus, thalamus, hypothalamus, medial temporal cortex, basal ganglia, brainstem, occipito-temporal cortex, orbitofrontal cortex, and ventromedial prefrontal cortex. We believe that the methods and results of this study provide useful information to clinicians and researchers studying the amygdala.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2014 Volume:24 | Number:6

Harvested from:

CDK

Metadata only:

false