Literature DB >> 33210786

Cortical morphometry and neural dysfunction in Huntington's disease: a review.

Brendan Tan1, Rosita Shishegar1,2,3, Govinda R Poudel1,4,5, Alex Fornito1,3, Nellie Georgiou-Karistianis1.   

Abstract

Numerous neuroimaging techniques have been used to identify biomarkers of disease progression in Huntington's disease (HD). To date, the earliest and most sensitive of these is caudate volume; however, it is becoming increasingly evident that numerous changes to cortical structures, and their interconnected networks, occur throughout the course of the disease. The mechanisms by which atrophy spreads from the caudate to these cortical regions remains unknown. In this review, the neuroimaging literature specific to T1-weighted and diffusion-weighted magnetic resonance imaging is summarized and new strategies for the investigation of cortical morphometry and the network spread of degeneration in HD are proposed. This new avenue of research may enable further characterization of disease pathology and could add to a suite of biomarker/s of disease progression for patient stratification that will help guide future clinical trials.
© 2020 European Academy of Neurology.

Entities:  

Keywords:  Huntington's disease; cortical morphometry; network spread hypothesis; neuroimaging; neuronal dysfunction

Year:  2020        PMID: 33210786     DOI: 10.1111/ene.14648

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  2 in total

1.  A gyrification analysis approach based on Laplace Beltrami eigenfunction level sets.

Authors:  Rosita Shishegar; Fabrizio Pizzagalli; Nellie Georgiou-Karistianis; Gary F Egan; Neda Jahanshad; Leigh A Johnston
Journal:  Neuroimage       Date:  2021-01-15       Impact factor: 7.400

Review 2.  Huntington's disease mouse models: unraveling the pathology caused by CAG repeat expansion.

Authors:  Julia Kaye; Terry Reisine; Steve Finkbeiner
Journal:  Fac Rev       Date:  2021-10-21
  2 in total

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