Journal article
High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington's Disease
Brain sciences, Vol.8(7), p.116
06/22/2018
DOI: 10.3390/brainsci8070116
PMCID: PMC6071032
PMID: 29932126
Abstract
This study assessed how
(brain-derived neurotrophic factor) and other genes involved in its signaling influence brain structure and clinical functioning in pre-diagnosis Huntington's disease (HD). Parallel independent component analysis (pICA), a multivariate method for identifying correlated patterns in multimodal datasets, was applied to gray matter concentration (GMC) and genomic data from a sizeable PREDICT-HD prodromal cohort (
= 715). pICA identified a genetic component highlighting
, which encodes BDNF's TrkB receptor, that correlated with a GMC component including supplementary motor, precentral/premotor cortex, and other frontal areas (
< 0.001); this association appeared to be driven by participants with high or low levels of the genetic profile. The frontal GMC profile correlated with cognitive and motor variables (Trail Making Test A (
= 0.03); Stroop Color (
= 0.017); Stroop Interference (
= 0.04); Symbol Digit Modalities Test (
= 0.031); Total Motor Score (
= 0.01)). A top-weighted
variant (rs2277193) was protectively associated with Trail Making Test B (
= 0.007); greater minor allele numbers were linked to a better performance. These results support the idea of a protective role of
in prodromal HD, particularly in individuals with certain genotypes, and suggest that this gene may influence the preservation of frontal gray matter that is important for clinical functioning.
Details
- Title: Subtitle
- High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington's Disease
- Creators
- Jennifer A Ciarochi - Neuroscience Institute, Georgia State University, Atlanta, GA 30302, USA. jciarochi1@student.gsu.eduJingyu Liu - The Mind Research Network, Albuquerque, NM 87106, USA. jliu@mrn.orgVince Calhoun - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA. vcalhoun@mrn.orgHans Johnson - Iowa Mental Health Clinical Research Center, Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA. hans-johnson@uiowa.eduMaria Misiura - Department of Psychology, Georgia State University, Atlanta, GA 30302, USA. mmisiura1@student.gsu.eduH Jeremy Bockholt - The Mind Research Network, Albuquerque, NM 87106, USA. jbockholt@mrn.orgFlor A Espinoza - The Mind Research Network, Albuquerque, NM 87106, USA. fespinoza@mrn.orgArvind Caprihan - The Mind Research Network, Albuquerque, NM 87106, USA. acaprihan@mrn.orgSergey Plis - The Mind Research Network, Albuquerque, NM 87106, USA. splis@mrn.orgJessica A Turner - Department of Psychology, Georgia State University, Atlanta, GA 30302, USA. jturner63@gsu.eduJane S Paulsen - Department of Psychology, University of Iowa, Iowa City, IA 52242, USA. jane-paulsen@uiowa.edu
- Resource Type
- Journal article
- Publication Details
- Brain sciences, Vol.8(7), p.116
- Publisher
- Switzerland
- DOI
- 10.3390/brainsci8070116
- PMID
- 29932126
- PMCID
- PMC6071032
- ISSN
- 2076-3425
- eISSN
- 2076-3425
- Grant note
- MR/L010305/1 / Medical Research Council R01 NS105509 / NINDS NIH HHS
- Language
- English
- Date published
- 06/22/2018
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; Psychological and Brain Sciences; The Iowa Institute for Biomedical Imaging; The Iowa Initiative for Artificial Intelligence; Iowa Informatics Initiative
- Record Identifier
- 9984070464302771
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