Individual-specific functional connectivity of the amygdala A substrate for precision psychiatry

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 117; no. 7; pp. 3808 - 3818
• Main Authors: Sylvester, Chad M., Yu, Qiongru, Srivastava, A. Benjamin, Marek, Scott, Zheng, Annie, Alexopoulos, Dimitrios, Smyser, Christopher D., Shimony, Joshua S., Ortega, Mario, Dierker, Donna L., Patel, Gaurav H., Nelson, Steven M., Gilmore, Adrian W., McDermott, Kathleen B., Berg, Jeffrey J., Drysdale, Andrew T., Perino, Michael T., Snyder, Abraham Z., Raut, Ryan V., Laumann, Timothy O., Gordon, Evan M., Barch, Deanna M., Rogers, Cynthia E., Greene, Deanna J., Raichle, Marcus E., Dosenbach, Nico U. F.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 18.02.2020
• Series: From the Cover
• Subjects: Adult; Amygdala; Amygdala - diagnostic imaging; Amygdala - physiology; Attention; Biological Sciences; Brain; Brain - diagnostic imaging; Brain - physiopathology; Brain architecture; Brain Mapping; Cerebral cortex; Cerebral Cortex - diagnostic imaging; Cerebral Cortex - physiology; Correlation; Female; Functional magnetic resonance imaging; Humans; Illnesses; Individuality; Magnetic Resonance Imaging; Male; Networks; Neural networks; Psychiatry; Subdivisions; Substrates; Temporal lobe; Young Adult; fMRI; amygdala; functional connectivity
• ISSN: 0027-8424; 1091-6490; 1091-6490
• DOI: 10.1073/pnas.1910842117

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 cinguloopercular 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.