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

Authors

  • Sophia A Gozzi Department of Medicine, School of Psychology and Psychiatry, Monash University, Melbourne, AustraliaDepartment of Medicine, Stroke and Ageing Research Group, Southern Clinical School, Monash University, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Amanda G Wood Department of Medicine, Stroke and Ageing Research Group, Southern Clinical School, Monash University, Melbourne, AustraliaSchool of Psychology, University of Birmingham, Edgbaston, UK PubMed articlesGoogle scholar articles
  • Jian Chen Department of Medicine, Stroke and Ageing Research Group, Southern Clinical School, Monash University, Melbourne, AustraliaDepartment of Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Krishnarao Vaddadi Department of Medicine, School of Psychology and Psychiatry, Monash University, Melbourne, AustraliaSouthern Health, Melbourne, Australia PubMed articlesGoogle scholar articles
  • Thanh G Phan Department of Medicine, Stroke and Ageing Research Group, Southern Clinical School, Monash University, Melbourne, Australia PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Amanda G Wood; a.g.wood{at}bham.ac.uk
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Citation

Gozzi SA, Wood AG, Chen J, et al
Imaging predictors of poststroke depression: methodological factors in voxel-based analysis

Publication history

  • Received January 28, 2014
  • Revised May 22, 2014
  • Accepted May 30, 2014
  • First published July 7, 2014.
Online issue publication 
July 07, 2014

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