Imaging predictors of poststroke depression: methodological factors in voxel-based analysis

Gozzi, Sophia A, Wood, Amanda G, Chen, Jian, Vaddadi, Krishnarao and Phan, Thanh G 2014, Imaging predictors of poststroke depression: methodological factors in voxel-based analysis, BMJ open, vol. 4, no. 7, pp. 1-7, doi: 10.1136/bmjopen-2014-004948.

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Title Imaging predictors of poststroke depression: methodological factors in voxel-based analysis
Author(s) Gozzi, Sophia A
Wood, Amanda GORCID iD for Wood, Amanda G orcid.org/0000-0002-1537-6858
Chen, Jian
Vaddadi, Krishnarao
Phan, Thanh G
Journal name BMJ open
Volume number 4
Issue number 7
Article ID e004948
Start page 1
End page 7
Total pages 7
Publisher BMJ Publishing Group
Place of publication London, Eng.
Publication date 2014-07
ISSN 2044-6055
Keyword(s) Poststroke depression
Lesion location
Voxel-based analysis
Statistical parametric mapping
Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
Summary Objective: The purpose of this study was to explore the relationship between lesion location and poststroke depression using statistical parametric mapping. Methods: First episode patients with stroke were assessed within 12 days and at 1-month poststroke. Patients with an a priori defined cut-off score of 11 on the Hospital Anxiety and Depression Scale (HADS) at follow-up were further assessed using the Mini-International Neuropsychiatric Interview (MINI) to confirm a clinical diagnosis of major or minor depression in accordance with Diagnostic and Statistical Manual-IV (DSM-IV) inclusion criteria. Participants were included if they were aged 18-85 years, proficient in English and eligible for MRI. Patients were excluded if they had a confounding diagnosis such as major depressive disorder at the time of admission, a neurodegenerative disease, epilepsy or an imminently life-threatening comorbid illness, subarachnoid or subdural stroke, a second episode of stroke before follow-up and/or a serious impairment of consciousness or language. Infarcts observed on MRI scans were manually segmented into binary images, linearly registered into a common stereotaxic coordinate space. Using statistical parametric mapping, we compared infarct patterns in patients with stroke with and without depression. Results: 27% (15/55 patients) met criteria for depression at follow-up. Mean infarct volume was 19±53 mL and National Institute of Health Stroke Scale (NIHSS) at Time 1 (within 12 days of stroke) was 4±4, indicating a sample of mild strokes. No voxels or clusters were significant after a multiple comparison correction was applied (p>0.05). Examination of infarct maps showed that there was minimal overlap of infarct location between patients, thus invalidating the voxel comparison analysis. Conclusions: This study provided inconclusive evidence for the association between infarcts in a specific region and poststroke depression.
Language eng
DOI 10.1136/bmjopen-2014-004948
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2014, BMJ Publishing Group Limited
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128624

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
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