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Imaging predictors of poststroke depression: methodological factors in voxel-based analysis
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 s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091263/ https://www.ncbi.nlm.nih.gov/pubmed/25001395 http://dx.doi.org/10.1136/bmjopen-2014-004948 |
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author | Gozzi, Sophia A Wood, Amanda G Chen, Jian Vaddadi, Krishnarao Phan, Thanh G |
author_facet | Gozzi, Sophia A Wood, Amanda G Chen, Jian Vaddadi, Krishnarao Phan, Thanh G |
author_sort | Gozzi, Sophia A |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4091263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-40912632014-07-11 Imaging predictors of poststroke depression: methodological factors in voxel-based analysis Gozzi, Sophia A Wood, Amanda G Chen, Jian Vaddadi, Krishnarao Phan, Thanh G BMJ Open Neurology 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. BMJ Publishing Group 2014-07-07 /pmc/articles/PMC4091263/ /pubmed/25001395 http://dx.doi.org/10.1136/bmjopen-2014-004948 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Neurology Gozzi, Sophia A Wood, Amanda G Chen, Jian Vaddadi, Krishnarao Phan, Thanh G Imaging predictors of poststroke depression: methodological factors in voxel-based analysis |
title | Imaging predictors of poststroke depression: methodological factors in voxel-based analysis |
title_full | Imaging predictors of poststroke depression: methodological factors in voxel-based analysis |
title_fullStr | Imaging predictors of poststroke depression: methodological factors in voxel-based analysis |
title_full_unstemmed | Imaging predictors of poststroke depression: methodological factors in voxel-based analysis |
title_short | Imaging predictors of poststroke depression: methodological factors in voxel-based analysis |
title_sort | imaging predictors of poststroke depression: methodological factors in voxel-based analysis |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091263/ https://www.ncbi.nlm.nih.gov/pubmed/25001395 http://dx.doi.org/10.1136/bmjopen-2014-004948 |
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