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Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
Published on: June 9, 2018
Are cognitive changes progressive in prediagnostic HD?
Julie C Stout1, Marjorie Weaver, Andrea C Solomon
1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Insights
Neurocognitive deficits in Huntington disease (HD) appear near diagnosis, not far from it. Genetic staging is more sensitive than motor staging for detecting early cognitive changes in HD.
Area of Science:
- Neuroscience
- Genetics
- Neurology
Background:
- Huntington disease (HD) is a progressive neurodegenerative disorder.
- Early detection of neurocognitive changes is crucial for understanding disease progression.
Purpose of the Study:
- Characterize neurocognitive signs of disease progression in prediagnosis and early Huntington disease (HD).
- Compare the sensitivity of genetic vs. motor staging for detecting these signs.
Main Methods:
- 306 at-risk or early HD individuals completed neurocognitive testing and staging.
- Two staging schemes were used: genetic (CAG repeat length) and motor signs.
- Effect sizes compared scheme sensitivity in detecting disease progression.
Main Results:
- Individuals near estimated HD diagnosis showed cognitive impairment; those far from it did not.
- Genetic staging yielded larger effect sizes for executive functions than motor staging.
- Motor staging showed larger effect size for motor/psychomotor function.
Conclusions:
- Neurocognitive function is not uniformly affected in early HD.
- Individuals nearing diagnosis exhibit cognitive signs similar to HD.
- Combined genetic and phenotypic staging may improve tracking of neurocognitive progression.
Objective:
To characterize neurocognitive signs of disease progression in prediagnosis and early Huntington disease (HD) and compare the sensitivity of 2 disease staging classification schemes for detecting these signs.
Methods:
Three hundred and six individuals at-risk for or recently diagnosed with HD completed the Unified Huntington's Disease Rating Scale, genetic testing, and a neurocognitive battery. Two schemes were used to estimate latency to onset of disease. One was based on genetic information (CAG repeat length) and the other was based on the extent of motor signs. Effect sizes were compared to assess the relative sensitivity of the 2 schemes for detecting signs of disease progression.
Results:
CAG-expanded participants far from estimated diagnosis performed similarly to controls, whereas those near to estimated diagnosis were impaired relative to controls. Overall, the method employing genetic information yielded larger effect sizes than the motor scheme, particularly for strategic and executive function measures; the motor scheme resulted in a larger effect size for a measure of motor/psychomotor function.
Conclusions:
Neurocognitive function is not uniformly affected in prediagnosis and early HD; individuals near to their estimated age of diagnosis have cognitive signs similar to HD, whereas individuals far from estimated diagnosis appear cognitively normal. Classification schemes that incorporate both genetic and phenotypic information may be more sensitive for tracking neurocognitive signs of disease progression.
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