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Testing a longitudinal compensation model in premanifest Huntington's disease
Sarah Gregory1,2, Jeffrey D Long3,4, Stefan Klöppel5,6
1Huntington's disease Research Centre, UCL Institute of Neurology, University College London, London, UK.
Brain : a Journal of Neurology
|May 23, 2018
Summary
Researchers developed a model to study compensation in neurodegenerative diseases like Huntington's disease. They found evidence of compensation in brain networks, particularly the prefrontal cortex, supporting their model with modifications.
Area of Science:
- Neuroscience
- Neurology
- Systems Biology
Background:
- Neurodegenerative diseases often show preserved cognitive and motor function despite early brain pathology.
- Compensation mechanisms are hypothesized to explain preserved function but are difficult to demonstrate empirically.
- A novel mathematical model was developed to describe longitudinal trajectories of brain activation, behavior, and pathology.
Purpose of the Study:
- To empirically validate a mathematical model of compensation in neurodegeneration using Huntington's disease as a model.
- To investigate longitudinal compensation in premanifest and early-stage Huntington's disease patients.
- To identify specific brain network changes associated with compensation during disease progression.
Main Methods:
- Applied a mathematical model defining compensation by non-linear brain activity/performance and linear degeneration.
- Utilized a large longitudinal cohort (Track-On HD study) of premanifest and early-stage Huntington's disease patients.
- Integrated data on brain volume loss, functional MRI (task and resting-state), cognitive/motor behavior, and genetic load across three disease phases.
Main Results:
- Compensation was partially observed in specific motor and cognitive networks, with some trends more complex than initially modeled.
- Evidence of compensation was found in the prefrontal cortex, characterized by increased effective connectivity between left and right dorsolateral prefrontal cortex.
- The study identified delayed network effects relative to performance effects, suggesting modifications to the theoretical compensation model.
Conclusions:
- The developed operational model provides a framework for testing longitudinal compensation in neurodegenerative diseases.
- Empirical data from Huntington's disease partially supported the model, indicating the utility of the framework with proposed modifications.
- The findings advance the understanding of compensatory mechanisms in neurodegeneration and their neural underpinnings.