Lesion-Network Mapping of Poststroke Depressive Symptoms: Evidence From Two Prospective Ischemic Stroke Cohorts
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Le résumé fourni par la source
BACKGROUND: Poststroke depression affects up to one-third of stroke survivors, significantly impacting recovery and quality of life. However, its pathophysiology remains unclear. METHODS: We analyzed 2 independent, prospective ischemic stroke cohorts (PROSCIS-B [Prospective Cohort of Incident Stroke Berlin] and BAPTISe [Biomarkers and Perfusion-Training-Induced Changes After Stroke]; n=377) enrolled at the Charité Hospital, Germany, to identify brain regions and networks associated with depressive symptoms poststroke. Lesion-symptom mapping assessed associations between lesion location and depressive symptoms measured by the Center for Epidemiological Studies Depression Scale at 6 (BAPTISe) or 12 (PROSCIS-B) months poststroke. Lesion-network mapping evaluated lesion connectivity with brain networks. A mixed-effects model, including cohort as a random effect, assessed the relationship between network similarity (Pearson correlation) and Center for Epidemiological Studies Depression Scale scores. Dice coefficients (DC) quantified spatial overlap with canonical resting-state networks. RESULTS: Lesion-symptom mapping showed no significant associations between lesion location and depressive symptoms. In contrast, lesion-network mapping revealed that lesion connectivity to brain regions including the frontal pole, middle and inferior frontal gyri, inferior temporal gyrus, supramarginal gyrus, angular gyrus, frontal orbital cortex, and thalamus weakly correlated with Center for Epidemiological Studies Depression Scale scores (β, 11.4 [95%CI, 1.8–21.1]; P =0.02). These regions overlapped with the frontoparietal (DC=0.28), salience (DC=0.27), and default mode (DC=0.20) networks, as well as a published depression circuit (DC=0.43). However, these findings did not replicate across data sets. CONCLUSIONS: Lesion location alone was not associated with poststroke depression. However, connectivity-based analyses implicated disruption of large-scale brain networks in the development of depressive symptoms. The failure to validate this association across data sets underscores the need for further studies with more comparable patient populations—particularly in terms of stroke severity and harmonized assessment time-points—to confirm these findings and their clinical relevance. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01363856. URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01954797.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Lesion-Network Mapping of Poststroke Depressive Symptoms: Evidence From Two Prospective Ischemic Stroke Cohorts
- Date Crossref
- 01/09/2025
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Humboldt-Universität zu Berlin pays non établi dans la noticeUniversité ou école supérieure
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Center for Stroke Research Berlin pays non établi dans la noticeStructure de recherche
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Einstein Center for Neurosciences Berlin pays non établi dans la noticeStructure de recherche
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Charité - Universitätsmedizin Berlin pays non établi dans la noticeÉtablissement de santé
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Max Planck Institute for Human Cognitive and Brain Sciences Department of Neurology pays non établi dans la noticeStructure de recherche
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Berlin Institute of Health at Charité - Universitätsmedizin Berlin pays non établi dans la noticeStructure de recherche
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German Center for Neurodegenerative Diseases pays non établi dans la noticeStructure de recherche
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German Centre for Cardiovascular Research pays non établi dans la noticeStructure de recherche
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Deutsches Zentrum für Psychische Gesundheit pays non établi dans la noticeOrganisation à but non lucratif
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Max Delbrück Center pays non établi dans la noticeStructure de recherche
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Charité – Universitätsmedizin Berlin pays non établi dans la noticeInstitution
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Einstein Center for Neurosciences (ECN) Berlin pays non établi dans la noticeInstitution
Humboldt-Universität zu Berlin, Center for Stroke Research Berlin et Einstein Center for Neurosciences Berlin, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.