期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 117, 期 7, 页码 3808-3818出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1910842117
关键词
amygdala; functional connectivity; fMRI
资金
- National Institute of Health [K23 MH109983, T32 DA 007294-26, K02 NS089852, R01 MH113570, R01 MH113883, U54 HD087011, K23 MH105179, NS088590, T32 MH100019, K23 MH108711, T32 MH018870, K01 MH104592, R01 MH090786, R25 MH112473, P30 NS098577]
- McDonnell Center for Systems Neuroscience
- Taylor Family Institute
- Parker Fund [1IK2CX001680]
- US Department of Veterans Affairs Clinical Sciences Research and Development Service
- American Psychological Association Dissertation Research Award
- Jacobs Foundation [2016121703]
- Child Neurology Foundation [1140911]
- Hope Center for Neurological Disorders
- Brain and Behavior Research Foundation
- Sidney R. Baer Foundation
- Leon Levy Foundation
- National Science Foundation [DGE-1745038, DGE-1143954]
The amygdala is central to the pathophysiology of many psychiatric illnesses. An imprecise understanding of how the amygdala fits into the larger network organization of the human brain, however, limits our ability to create models of dysfunction in individual patients to guide personalized treatment. Therefore, we investigated the position of the amygdala and its functional subdivisions within the network organization of the brain in 10 highly sampled individuals (5 h of fMRI data per person). We characterized three functional subdivisions within the amygdala of each individual. We discovered that one subdivision is preferentially correlated with the default mode network; a second is preferentially correlated with the dorsal attention and fronto-parietal networks; and third subdivision does not have any networks to which it is preferentially correlated relative to the other two subdivisions. All three subdivisions are positively correlated with ventral attention and somatomotor networks and negatively correlated with salience and cingulo-opercular networks. These observations were replicated in an independent group dataset of 120 individuals. We also found substantial across-subject variation in the distribution and magnitude of amygdala functional connectivity with the cerebral cortex that related to individual differences in the stereotactic locations both of amygdala subdivisions and of cortical functional brain networks. Finally, using lag analyses, we found consistent temporal ordering of fMRI signals in the cortex relative to amygdala subdivisions. Altogether, this work provides a detailed framework of amygdala-cortical interactions that can be used as a foundation for models relating aberrations in amygdala connectivity to psychiatric symptoms in individual patients.
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