Decoupling of the amygdala to other salience network regions in adolescent-onset recurrent major depressive disorder

R. H. Jacobs, A. Barba, J. R. Gowins, H. Klumpp, L. M. Jenkins, B. J. Mickey, O. Ajilore, M. Peciña, M. Sikora, K. A. Ryan, D. T. Hsu, R. C. Welsh, J. K. Zubieta, K. L. Phan, S. A. Langenecker*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

Abstract

Background Recent meta-Analyses of resting-state networks in major depressive disorder (MDD) implicate network disruptions underlying cognitive and affective features of illness. Heterogeneity of findings to date may stem from the relative lack of data parsing clinical features of MDD such as phase of illness and the burden of multiple episodes. Method Resting-state functional magnetic resonance imaging data were collected from 17 active MDD and 34 remitted MDD patients, and 26 healthy controls (HCs) across two sites. Participants were medication-free and further subdivided into those with single v. multiple episodes to examine disease burden. Seed-based connectivity using the posterior cingulate cortex (PCC) seed to probe the default mode network as well as the amygdala and subgenual anterior cingulate cortex (sgACC) seeds to probe the salience network (SN) were conducted. Results Young adults with remitted MDD demonstrated hyperconnectivity of the left PCC to the left inferior frontal gyrus and of the left sgACC to the right ventromedial prefrontal cortex (PFC) and left hippocampus compared with HCs. Episode-independent effects were observed between the left PCC and the right dorsolateral PFC, as well as between the left amygdala and right insula and caudate, whereas the burden of multiple episodes was associated with hypoconnectivity of the left PCC to multiple cognitive control regions as well as hypoconnectivity of the amygdala to large portions of the SN. Conclusions This is the first study of a homogeneous sample of unmedicated young adults with a history of adolescent-onset MDD illustrating brain-based episodic features of illness.

Original languageEnglish (US)
Pages (from-to)1055-1067
Number of pages13
JournalPsychological Medicine
Volume46
Issue number5
DOIs
StatePublished - Apr 1 2016

Funding

Preparation of this manuscript was funded in support of R.H.J. by the UIC Center for Clinical and Translational Science UL1TR00050, NIH RO1 MH091811 (S.A.L.) and NIH RO1 MH101487 (S.A.L.). A.B., J.R.G. and L.M.J. were supported by NIH RO1 MH091811 (S.A.L.) and NIH RO1 MH101487 (S.A.L.). H.K. was funded by the Brain and Behavior Research Foundation. L.M.J. was funded by MH 101487 (S.A.L.). B.J.M. was supported by NIH K23 MH092648, and O.A. was supported by NIH R01 MH101487 (S.A.L.). M.P., M.S. and J.-K.Z. were funded through NIH R01 MH086858 and the Phil F. Jenkins Foundation. K.A.R. was supported by the National Center for Advancing Translational Sciences NIH 2KL2TR000434, NIH R01 MH091811 (S.A.L.), the Heinz C. Prechter Bipolar Research Fund at the University of Michigan Depression Center, and the Richard Tam Foundation. D.T.H. was supported by NIH K01 MH085035, and K.L.P. was funded through NIH NIMH R01 MH101497. The analytic scripts for the connectivity analysis were developed by R.C.W. with support from NIH/NINDS 1R01NS052514. S.A.L. was supported by NIH R01 MH091811, NIH R01 MH101487, and the Brain and Behavior Research Foundation. The authors would like to acknowledge the contributions of the Center for Magnetic Resonance Research 3T Program at UIC.

Keywords

  • Amygdala
  • connectivity
  • depression
  • functional magnetic resonance imaging
  • illness course

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Applied Psychology

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