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A computational cognitive biomarker for early-stage Huntington's disease

Abstract:

Huntington's disease (HD) is genetically determined but with variability in symptom onset, leading to uncertainty as to when pharmacological intervention should be initiated. Here we take a computational approach based on neurocognitive phenotyping, computational modeling, and classification, in an effort to provide quantitative predictors of HD before symptom onset. A large sample of subjects-consisting of both pre-manifest individuals carrying the HD mutation (pre-HD), and early symptomatic...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pone.0148409

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neurosciences
Role:
Author
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CHDI/High Q Foundation More from this funder
Publisher:
Public Library of Science Publisher's website
Journal:
PloS one Journal website
Volume:
11
Issue:
2
Pages:
e0148409
Publication date:
2016-02-12
DOI:
EISSN:
1932-6203
URN:
uuid:01a9b305-93f1-4330-9475-252bddbafdfe
Source identifiers:
605900
Local pid:
pubs:605900
Language:
English

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