Journal article
Structural and functional brain network correlates of depressive symptoms in premanifest Huntington's disease
Human brain mapping, Vol.38(6), pp.2819-2829
06/2017
DOI: 10.1002/hbm.23527
PMCID: PMC5434856
PMID: 28294457
Abstract
Depression is common in premanifest Huntington's disease (preHD) and results in significant morbidity. We sought to examine how variations in structural and functional brain networks relate to depressive symptoms in premanifest HD and healthy controls. Brain networks were constructed using diffusion tractography (70 preHD and 81 controls) and resting state fMRI (92 preHD and 94 controls) data. A sub-network associated with depression was identified in a data-driven fashion and network-based statistics was used to investigate which specific connections correlated with depression scores. A replication analysis was then performed using data from a separate study. Correlations between depressive symptoms with increased functional connectivity and decreased structural connectivity were seen for connections in the default mode network (DMN) and basal ganglia in preHD. This study reveals specific connections in the DMN and basal ganglia that are associated with depressive symptoms in preHD. Hum Brain Mapp 38:2819-2829, 2017. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
Details
- Title: Subtitle
- Structural and functional brain network correlates of depressive symptoms in premanifest Huntington's disease
- Creators
- Peter McColgan - Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, United KingdomAdeel Razi - Department of Electronic Engineering, NED University of Engineering and Technology, Karachi, PakistanSarah Gregory - Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, WC1N 3BG, United KingdomKiran K Seunarine - Developmental Imaging and Biophysics Section, UCL Institute of Child Health, London, WC1N 1EH, United KingdomAlexandra Durr - APHP Department of Genetics, Groupe Hospitalier Pitié-Salpêtrière, and Institut du Cerveau et de la Moelle, INSERM U1127, CNRS UMR7225, Sorbonne Universités - UPMC Université Paris VI UMR_S1127, Paris, FranceRaymond A.C Roos - Department of Neurology, Leiden University Medical Centre, 2300RC Leiden, The NetherlandsBlair R Leavitt - Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, 950 West 28th Avenue, Vancouver, British Columbia, V5Z 4H4, CanadaRachael I Scahill - Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, United KingdomChris A Clark - Developmental Imaging and Biophysics Section, UCL Institute of Child Health, London, WC1N 1EH, United KingdomDoug R Langbehn - University of Iowa, PsychiatryGeraint Rees - Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, WC1N 3BG, United KingdomSarah J Tabrizi - National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, United Kingdom
- Resource Type
- Journal article
- Publication Details
- Human brain mapping, Vol.38(6), pp.2819-2829
- DOI
- 10.1002/hbm.23527
- PMID
- 28294457
- PMCID
- PMC5434856
- NLM abbreviation
- Hum Brain Mapp
- ISSN
- 1065-9471
- eISSN
- 1097-0193
- Publisher
- United States
- Grant note
- 200181/Z/15/Z / Wellcome Trust MR/L012936/1 / Medical Research Council
- Language
- English
- Date published
- 06/2017
- Academic Unit
- Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984066140502771
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