D22 Compensation in preclinical huntington’s disease: evidence from the track-on HD study

Stefan Klöppel; Elisa Scheller; Lora Minkova; Adeel Razi; Alexandra Durr; Raymund AC Roos; Blair R Leavitt; Marina Papoutsi; G. Bernhard Landwehrmyer; Ralf Reilmann; Beth Borowsky; Hans Johnson; James A Mills; Gail Owen; Julie Stout; Rachael I Scahill; Jeffrey D Long; Geraint Rees; Sarah J Tabrizi; Track-On investigators

doi:10.1136/jnnp-2016-314597.121

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D22 Compensation in preclinical huntington’s disease: evidence from the track-on HD study

Journal article

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D22 Compensation in preclinical huntington’s disease: evidence from the track-on HD study

Stefan Klöppel, Elisa Scheller, Lora Minkova, Adeel Razi, Alexandra Durr, Raymund AC Roos, Blair R Leavitt, Marina Papoutsi, G. Bernhard Landwehrmyer, Ralf Reilmann, …

Journal of neurology, neurosurgery and psychiatry, Vol.87(Suppl 1), pp.A42-A42

09/2016

DOI: 10.1136/jnnp-2016-314597.121

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Abstract

BackgroundCognitive and motor task performance in premanifest Huntington’s disease (HD) gene-carriers is often within normal ranges prior to clinical diagnosis, despite loss of brain volume in regions involved in these tasks. This indicates ongoing compensation, with the brain maintaining function in the presence of neuronal loss. However, thus far, compensatory processes in HD have not been explicitly addressed in statistical models. AimsUsing a new statistical model, which incorporates individual variability related to structural burden (i.e., loss of brain volume) and behaviour, we sought to identify functional correlates of compensation in premanifest-HD gene-carriers.MethodsWe investigated the modulatory effects of regional brain atrophy, indexed by structural measures of disease load, on the relationship between performance and brain activity (or connectivity) using task-based and resting-state functional MRI.ResultsConsistent with compensation, higher atrophy was associated with increased performance-related activity of the right parietal cortex during a working memory task. Similarly, higher functional coupling between the right dorsolateral prefrontal cortex and a left hemisphere network in the resting-state predicted better cognitive performance in individuals with higher disease burden. Such patterns were not detectable for the left hemisphere or for motor tasks.ConclusionOur findings provide evidence for active compensatory processes in premanifest-HD for cognitive demands and suggest a higher vulnerability of the left hemisphere to the effects of regional atrophy.

Details

Title: Subtitle: D22 Compensation in preclinical huntington’s disease: evidence from the track-on HD study
Creators: Stefan Klöppel - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Elisa Scheller - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Lora Minkova - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Adeel Razi - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Alexandra Durr - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Raymund AC Roos - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Blair R Leavitt - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Marina Papoutsi - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
G. Bernhard Landwehrmyer - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Ralf Reilmann - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Beth Borowsky - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Hans Johnson - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
James A Mills - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Gail Owen - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Julie Stout - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Rachael I Scahill - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Jeffrey D Long - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Geraint Rees - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Sarah J Tabrizi - Department of Biostatistics, College of Public Health, University of Iowa, Iowa, City, IA, USA
Track-On investigators
Resource Type: Journal article
Publication Details: Journal of neurology, neurosurgery and psychiatry, Vol.87(Suppl 1), pp.A42-A42
DOI: 10.1136/jnnp-2016-314597.121
ISSN: 0022-3050
eISSN: 1468-330X
Language: English
Date published: 09/2016
Academic Unit: Biostatistics; Psychiatry; The Iowa Institute for Biomedical Imaging; Electrical and Computer Engineering; The Iowa Initiative for Artificial Intelligence; Roy J. Carver Department of Biomedical Engineering; Iowa Informatics Initiative
Record Identifier: 9984221730202771

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