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Updated: Mar 1, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Measuring compensation in neurodegeneration using MRI
Sarah Gregory1, Jeffrey D Long, Sarah J Tabrizi
1aHuntington's Disease Research Centre, UCL Institute of Neurology, London, UK bDepartments of Psychiatry and Biostatistics, University of Iowa, Iowa City, Iowa, USA cWellcome Trust Centre for Neuroimaging dInstitute of Cognitive Neuroscience, University College London, London, UK.
Purpose Of Review:
Despite signs of cortical and subcortical loss, patients with prodromal and early-stage neurodegenerative disease are able to perform at a level comparable to the normal population. It is presumed that the onset of compensatory processes, that is changes in brain activation within a function-specific network or in the recruitment of a region outside of the task-network, underlies this maintenance of normal performance. However, in most studies to date, increased brain activity is not correlated with indices of both disease and performance and what appears to be compensation could simply be a symptom of neurodegeneration.
Recent Findings:
MRI studies have explored compensation in neurodegenerative disease, claiming that compensation is evident across a number of disorders, including Alzheimer's and Parkinson's disease, but generally always in early stages; after this point, compensation is generally no longer able to operate under the severe burden of disease. However, none of these studies explicitly adopted a particular model of compensation. Thus, we also discuss our recent attempts to operationalize compensation for empirical testing.
Summary:
There is clear evidence of compensatory processes in the early stages of neurodegenerative disease. However, for a more complete understanding, this requires more explicit empirical modelling.
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