期刊
PSYCHIATRY RESEARCH-NEUROIMAGING
卷 233, 期 2, 页码 243-253出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.pscychresns.2015.07.015
关键词
Dynamic Causal Modeling; BOLD fMRI; Bipolar disorder; Chronotherapeutics; Sleep; Deprivation; Light therapy; Emotion
资金
- Italian Ministry of University and Scientific Research
- Italian Ministry of Health
- European Union [222963]
- Trenta ore per la Vita Association
- Janssen-Cilag
The identification of antidepressant response predictors in bipolar disorder (BD) may provide new potential enhancements in treatment selection. Repeated total sleep deprivation combined with light therapy (TSDa- LT) can acutely reverse depressive symptoms and has been proposed as a model antidepressant treatment. This study aims at investigating the effect of TSD+LT on effective connectivity and neural response in cortico-limbic circuitries during implicit processing of fearful and angry faces in patients with BD. IMRI and Dynamic Causal Modeling (DCM) were combined to study the effect of chronotherapeutics on neural responses in healthy controls (FIC, n = 35) and BD patients either responder (RBD, n=26) or non responder (nRBD, n=11) to 3 consecutive TSD+ LT sessions. Twenty-four DCMs exploring connectivity between anterior cingulate cortex (ACC), clorsolateral prefrontal cortex (DLPFC), Amygdala (Amy), fusiform gyrus and visual cortex were constructed. After treatment, patients significantly increased their neural responses in DLPFC, ACC and insula, nRBD showed lower baseline and endpoint neural responses than RBD. The increased activity in ACC and in medial prefrontal cortex, associated with antidepressant treatment, was positively associated with the improvement of depressive symptomatology. Only RBD patients increased intrinsic connectivity from DLPFC to ACC and reduced the modulatory effect of the task on Amy-DLPFC connection. A successful antidepressant treatment was associated with an increased functional activity and connectivity within cortico-limbic networks, suggesting the possible role of these measures in providing possible biomarkers for treatment efficacy. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
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