Prefrontal cortex white matter tracts in prodromal Huntington disease

Joy T Matsui; Jatin G Vaidya; Demian Wassermann; Regina Eunyoung Kim; Vincent A Magnotta; Hans J Johnson; Jane S Paulsen

doi:10.1002/hbm.22835

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Prefrontal cortex white matter tracts in prodromal Huntington disease

Journal article

Open access

Peer reviewed

Prefrontal cortex white matter tracts in prodromal Huntington disease

Joy T Matsui, Jatin G Vaidya, Demian Wassermann, Regina Eunyoung Kim, Vincent A Magnotta, Hans J Johnson and Jane S Paulsen

Human brain mapping, Vol.36(10), pp.3717-3732

09/30/2015

DOI: 10.1002/hbm.22835

PMCID: PMC4583330

PMID: 26179962

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Abstract

Huntington disease (HD) is most widely known for its selective degeneration of striatal neurons but there is also growing evidence for white matter (WM) deterioration. The primary objective of this research was to conduct a large-scale analysis using multisite diffusion-weighted imaging (DWI) tractography data to quantify diffusivity properties along major prefrontal cortex WM tracts in prodromal HD. Fifteen international sites participating in the PREDICT-HD study collected imaging and neuropsychological data on gene-positive HD participants without a clinical diagnosis (i.e., prodromal) and gene-negative control participants. The anatomical prefrontal WM tracts of the corpus callosum (PFCC), anterior thalamic radiations (ATRs), inferior fronto-occipital fasciculi (IFO), and uncinate fasciculi (UNC) were identified using streamline tractography of DWI. Within each of these tracts, tensor scalars for fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity coefficients were calculated. We divided prodromal HD subjects into three CAG-age product (CAP) groups having Low, Medium, or High probabilities of onset indexed by genetic exposure. We observed significant differences in WM properties for each of the four anatomical tracts for the High CAP group in comparison to controls. Additionally, the Medium CAP group presented differences in the ATR and IFO in comparison to controls. Furthermore, WM alterations in the PFCC, ATR, and IFO showed robust associations with neuropsychological measures of executive functioning. These results suggest long-range tracts essential for cross-region information transfer show early vulnerability in HD and may explain cognitive problems often present in the prodromal stage. Hum Brain Mapp 36:3717-3732, 2015. © 2015 Wiley Periodicals, Inc.

Life Sciences

Bioengineering

Computer Science

Medical Imaging

Neurons and Cognition

Imaging

Image Processing

Engineering Sciences

Signal and Image processing

Details

Title: Subtitle: Prefrontal cortex white matter tracts in prodromal Huntington disease
Creators: Joy T Matsui - Department of Psychiatry
Jatin G Vaidya - Department of Psychiatry
Demian Wassermann - Computational Imaging of the Central Nervous System
Regina Eunyoung Kim - Department of Psychiatry
Vincent A Magnotta - Department of Psychiatry
Hans J Johnson - Department of Biomedical Engineering [Iowa]
Jane S Paulsen - Department of Psychiatry
Contributors: PREDICT-HD Investigators and Coordinators of the Huntington Study Group (Author)
Resource Type: Journal article
Publication Details: Human brain mapping, Vol.36(10), pp.3717-3732
DOI: 10.1002/hbm.22835
PMID: 26179962
PMCID: PMC4583330
NLM abbreviation: Hum Brain Mapp
ISSN: 1065-9471
eISSN: 1097-0193
Publisher: Wiley
Grant note: name: BRAINS Morphology and Image Analysis, award: R01 NS050568; name: Validation of Structural/Functional MRI Localization, award: R01 EB000975; name: 3D Shape Analysis for Computational Anatomy, award: R01 EB008171; name: Neurobiological Predictors of Huntington's Disease, award: R01 NS040068; name: Cognitive and Functional Brain Changes in Preclinical HD, award: R01 NS054893; DOI: 10.13039/100005725, name: CHDI Foundation, Inc., award: A6266, A2015; name: Algorithms For Functional and Anatomical Brain Analysis; name: Algorithmic Methods for Anatomical Brain Analysis, award: P41 RR015241; name: Enterprise Storage In A Collaborative Neuroimaging Environment, award: S10 RR023392; name: Core 2b Huntington's Disease - Driving Biological Project, award: U54 EB005149; name: NIPYPE: Neuroimaging in Python Pipelines and Interfaces, award: R03 EB008673; DOI: 10.13039/100006108, name: National Center for Advancing Translational Sciences; DOI: 10.13039/100000002, name: National Institutes of Health, award: 2 UL1 TR000442-06
Language: English
Date published: 09/30/2015
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Psychiatry; Psychological and Brain Sciences; Iowa Neuroscience Institute; University College Courses
Record Identifier: 9984066387202771

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