Trajectory of reward-related abnormalities in unaffected relatives of patients with bipolar disorder – A longitudinal fMRI study

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First-degree relatives of patients with bipolar disorder are at heightened risk of mood episodes, which may be attributed to the existence of endophenotypes i.e., heritable (neuro)biological changes present in patients and their unaffected relatives (UR). In this longitudinal MRI study, we aim to investigate the trajectories of aberrant reward-related functional changes identified in UR vs healthy controls (HC). Sixty-eight UR and 65 HC of similar age and gender distribution underwent MRI at baseline while performing a card guessing task. Of these, 29 UR and 36 HC were investigated with the same protocol following a 16-month period in average. We first identified brain regions showing group differences in the neural response to expected value (EV) and reward prediction error (PE) at baseline and analyzed how the reward-related response in these regions changed over time in UR vs HC. Relative to HC at baseline, UR showed lower EV signal in the right ventrolateral prefrontal cortex (vlPFC) and paracingulate gyrus and lower PE signal in the left vlPFC and dorsomedial PFC. The trajectories of these abnormalities in UR showed a normalization of the prefrontal EV signals, whereas the PE signals which correlated with depressive symptoms remained stable over time. While the UR showed both blunted EV and PE signals, none of these abnormalities increased over time, which is consistent with the observed stable mood symptoms.
OriginalsprogEngelsk
TidsskriftJournal of Psychiatric Research
Vol/bind170
Sider (fra-til)217-224
Antal sider8
ISSN0022-3956
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
This work was supported by grants from the Mental Health Services, Capital Region of Denmark , The Danish Council for Independent Research, Medical Sciences (DFF-4183-00570), Weimans Fund, Markedmodningsfonden (the Market Development Fund, (2015-310), Gangstedfonden (A29594), Helsefonden (22-B-0018), Innovation Fund Denmark (the Innovation Fund, Denmark, 5164-00001B), Copenhagen Center for Health Technology (CACHET), EU H2020 ITN (EU project 722561), Augustinusfonden (16–0083), Lundbeck foundation (R215-2015-4121).

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