title: Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: A 3T fMRI pilot study.
abstract: Resting-state studies conducted with stroke patients are scarce. First objective was to explore whether patients with good cognitive recovery showed differences in resting-state functional patterns of brain activity when compared to patients with poor cognitive recovery. Second objective was to determine whether such patterns were correlated with cognitive performance. Third objective was to assess the existence of prognostic factors for cognitive recovery. Eighteen right-handed stroke patients and eighteen healthy controls were included in the study. Stroke patients were divided into two groups according to their cognitive improvement observed at three months after stroke. Probabilistic independent component analysis was used to identify resting-state brain activity patterns. The analysis identified six networks: frontal, fronto-temporal, default mode network, secondary visual, parietal, and basal ganglia. Stroke patients showed significant decrease in brain activity in parietal and basal ganglia networks and a widespread increase in brain activity in the remaining ones when compared with healthy controls. When analyzed separately, patients with poor cognitive recovery (n=10) showed the same pattern as the whole stroke patient group, while patients with good cognitive recovery (n=8) showed increased activity only in the default mode network and fronto-temporal network, and decreased activity in the basal ganglia. We observe negative correlations between basal ganglia network activity and performance in Semantic Fluency test and Part A of the Trail Making Test for patients with poor cognitive recovery. A reverse pattern was observed between frontal network activity and the above mentioned tests for the same group. .
authors: Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Department of CCIA, Group of Computational Intelligence, University of the Basque Country UPV/EHU, San Sebastian, Spain.
authors: R
authors: R
authors: Dacosta-Aguayo
authors: M
authors: M
authors: Graña
authors: A
authors: A
authors: Savio
authors: M
authors: M
authors: Fernández-Andújar
authors: M
authors: M
authors: Millán
authors: E
authors: E
authors: López-Cancio
authors: C
authors: C
authors: Cáceres
authors: N
authors: N
authors: Bargalló
authors: C
authors: C
authors: Garrido
authors: M
authors: M
authors: Barrios
authors: I C
authors: IC
authors: Clemente
authors: M
authors: M
authors: Hernández
authors: J
authors: J
authors: Munuera
authors: A
authors: A
authors: Dávalos
authors: T
authors: T
authors: Auer
authors: M
authors: M
authors: Mataró
mesh_terms: D000328:Adult; D000368:Aged; D001921:Brain / Q000473:pathology / Q000503:physiopathology*; D001931:Brain Mapping; D003071:Cognition; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009434:Neural Pathways / Q000473:pathology / Q000503:physiopathology; D009483:Neuropsychological Tests; D010865:Pilot Projects; D011379:Prognosis; D020127:Recovery of Function; D012146:Rest; D012720:Severity of Illness Index; D012815:Signal Processing, Computer-Assisted; D020521:Stroke / Q000175:diagnosis* / Q000473:pathology / Q000503:physiopathology* / Q000523:psychology
keywords: cognitive recovery; fMRI; interhemispheric balance; ischemic stroke; probabilistic independent component analysis; resting state