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

Chad M. Sylvester, Qiongru Yu, A. Benjamin Srivastava, Scott Marek, Annie Zheng, Dimitrios Alexopoulos, Christopher D. Smyser, Joshua S. Shimony, Mario Ortega, Donna L. Dierker, Gaurav H. Patel, Steven M. Nelson, Adrian W. Gilmore, Kathleen B. McDermott, Jeffrey J. Berg, Andrew T. Drysdale, Michael T. Perino, Abraham Z. Snyder, Ryan V. Raut, Timothy O. LaumannEvan M. Gordon, Deanna M. Barch, Cynthia E. Rogers, Deanna J. Greene, Marcus E. Raichle, Nico U.F. Dosenbach

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)3808-3818
Number of pages11
JournalProceedings of the National Academy of Sciences of the United States of America
Volume117
Issue number7
DOIs
StatePublished - Feb 18 2020

Keywords

  • Amygdala
  • FMRI
  • Functional connectivity

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    Sylvester, C. M., Yu, Q., Benjamin Srivastava, A., Marek, S., Zheng, A., Alexopoulos, D., Smyser, C. D., Shimony, J. S., Ortega, M., Dierker, D. L., Patel, G. H., Nelson, S. M., Gilmore, A. W., McDermott, K. B., Berg, J. J., Drysdale, A. T., Perino, M. T., Snyder, A. Z., Raut, R. V., ... Dosenbach, N. U. F. (2020). Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry. Proceedings of the National Academy of Sciences of the United States of America, 117(7), 3808-3818. https://doi.org/10.1073/pnas.1910842117