TY - JOUR
T1 - Altered amygdala circuits underlying valence processing among manic and depressed phases in bipolar adults
AU - Man, Vincent
AU - Gruber, June
AU - Glahn, David C.
AU - Cunningham, William A.
N1 - Funding Information:
This study was supported by a NIH R01 MH080912 grant and by a Hartford Hospital Open Competition Grant to D.C.G. It was also supported by a Canadian Institute of Health Research grant ( CIHR-111257 ) and a Natural Sciences and Engineering Research Council of Canada grant (NSERC RGPIN-298514) to W.A.C. and by a Social Sciences and Humanities Research Council of Canada doctoral award (SSHRC CGS-D) to V.M.. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the NIH, Hartford Hospital, CIHR, or SSHRC granting agencies.
PY - 2019/2/15
Y1 - 2019/2/15
N2 - Background: Disruptions in affective processing characterize mood disorders, yet the neural mechanisms underlying internal state dependency in affective processes are not well understood. The present work presents a pilot investigation into state dependency among neural circuits known to be involved in processing affective information, by examining acute manic and depressive mood phases in adults with bipolar disorder and major depressive disorder. Methods: The present study probed affective processes with a well-validated passive picture-viewing task amongst acutely manic (n = 8) or acutely depressed (bipolar depression: n = 11; major depression: n = 15) mood-disordered adults during functional magnetic resonance imaging. Results: Beta-series correlation analyses seeded from the amygdala revealed distinct neural circuits distinguished across current mood state rather than diagnostic boundaries. We delineated an amygdala-striatum pathway that distinguished depressed from manic mood phase, rather than between diagnostic boundaries, in processing valenced information. Specifically, we found differences in this neural response to negative, but not positive, images across clinical mood states. Limitations: As a preliminary investigation of state-dependent affective processes, the current investigation is predominantly limited by the small sample size. While it provides direction and generates hypotheses for further work, future studies need to replicate and expand the reported effects with larger samples. Conclusions: These findings demonstrate the conditions under which mood state-dependent affective processes cut cross traditional diagnostic boundaries, speaking to recent advances in transdiagnostic disease mechanisms, and can guide future work examining the neural mechanisms driving symptomatology in affective disorders.
AB - Background: Disruptions in affective processing characterize mood disorders, yet the neural mechanisms underlying internal state dependency in affective processes are not well understood. The present work presents a pilot investigation into state dependency among neural circuits known to be involved in processing affective information, by examining acute manic and depressive mood phases in adults with bipolar disorder and major depressive disorder. Methods: The present study probed affective processes with a well-validated passive picture-viewing task amongst acutely manic (n = 8) or acutely depressed (bipolar depression: n = 11; major depression: n = 15) mood-disordered adults during functional magnetic resonance imaging. Results: Beta-series correlation analyses seeded from the amygdala revealed distinct neural circuits distinguished across current mood state rather than diagnostic boundaries. We delineated an amygdala-striatum pathway that distinguished depressed from manic mood phase, rather than between diagnostic boundaries, in processing valenced information. Specifically, we found differences in this neural response to negative, but not positive, images across clinical mood states. Limitations: As a preliminary investigation of state-dependent affective processes, the current investigation is predominantly limited by the small sample size. While it provides direction and generates hypotheses for further work, future studies need to replicate and expand the reported effects with larger samples. Conclusions: These findings demonstrate the conditions under which mood state-dependent affective processes cut cross traditional diagnostic boundaries, speaking to recent advances in transdiagnostic disease mechanisms, and can guide future work examining the neural mechanisms driving symptomatology in affective disorders.
KW - Affect
KW - Amygdala
KW - Bipolar disorder
KW - Depression
KW - Mania
KW - Ventral striatum
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U2 - 10.1016/j.jad.2018.11.008
DO - 10.1016/j.jad.2018.11.008
M3 - Article
C2 - 30423467
AN - SCOPUS:85056244112
VL - 245
SP - 394
EP - 402
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
SN - 0165-0327
ER -