Subacute default mode network dysfunction in the prediction of post-stroke depression severity.
OBJECTIVE
To identify patterns of rest functional connectivity (FC) in the whole brain with the default mode network (DMN) soon after stroke and to explore the predictive accuracy of the strength of rest FC in specific areas on poststroke severity of depression and anxiety symptoms.


METHODS
The protocol was accepted by the local ethics board, and all patients provided informed consent to participate. Resting-state functional magnetic resonance (MR) images were acquired 10 days after a first stroke in 24 patients without a history of psychiatric illness. Independent component analysis was used to isolate the DMN in each subject. Hamilton Depression Rating Scale (HDRS) 17 and Hamilton Anxiety Rating Scale (HARS) were recorded 10 days and 3 months after the stroke. Associations between severity of anxiety or depression symptoms and DMN functional connectivity were investigated with whole-brain analyses by using statistical parametric mapping software and were adjusted for age, sex, manual laterality, and National Institutes of Health Stroke Severity scores. Correlations were considered significant if P<.001, with a cluster size of more than 50 voxels.


RESULTS
Ten days after stroke, anxiety severity was correlated with functional connectivity in the middle temporal cortex and the anterior midcingulate cortex, while at 3 months after stroke, a correlation was observed with the middle temporal cortex and the posterior cingulate cortex. Poststroke depressive symptom severity did not correlate with functional connectivity changes at 10-day follow-up, while the HDRS 17 score was correlated with functional connectivity in the left middle temporal cortex and precuneus at 3-month follow-up.


CONCLUSIONS
These results suggest that a dysfunction of DMN functional connectivity involved in emotional control is associated with the severity of poststroke depression. Further studies are necessary to determine the mechanisms of this functional impairment.
Université Bordeaux2, Department of Clinical Neurosciences, CHU Bordeaux, Hôpital Pellegrin, Place Amélie Raba-Leon, 33076 Bordeaux, France.
Saioa
S
Lassalle-Lagadec
Igor
I
Sibon
Bixente
B
Dilharreguy
Pauline
P
Renou
Olivier
O
Fleury
Michèle
M
Allard
D001931:Brain Mapping / Q000379:methods*; D002560:Cerebrovascular Circulation; D003863:Depression / Q000503:physiopathology* / Q000523:psychology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009434:Neural Pathways / Q000503:physiopathology; D011237:Predictive Value of Tests; D011446:Prospective Studies; D011569:Psychiatric Status Rating Scales; D012720:Severity of Illness Index; D020521:Stroke / Q000503:physiopathology* / Q000523:psychology*