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Potentially adaptive functional changes in cognitive processing for patients with multiple sclerosis and their acute
Allyson M M Parry1, Richard B Scott, Jacqueline Palace
1Centre for Functional Magnetic Resonance Imaging of the Brain, The John Radcliffe Hospital, Headington, Oxford, UK.
Brain : a Journal of Neurology
|September 6, 2003
Summary
Multiple sclerosis patients show altered brain activity during cognitive tasks, suggesting brain plasticity compensates for deficits. Cholinesterase inhibitors may normalize this activity, highlighting potential therapeutic avenues for cognitive impairment in multiple sclerosis.
Area of Science:
- Neuroscience
- Radiology
- Pharmacology
Background:
- Cognitive deficits in multiple sclerosis (MS) are not always explained by disease burden.
- Brain plasticity may allow for adaptive reorganization of cognitive functions, limiting impairment despite MS-related brain injury.
Purpose of the Study:
- To test the hypothesis that brain plasticity compensates for cognitive deficits in MS.
- To investigate the effects of rivastigmine on brain activation patterns in MS patients.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to study brain activation during a Stroop task in 10 MS patients and 11 healthy controls.
- The impact of rivastigmine, a cholinesterase inhibitor, on brain activation was assessed in MS patients and controls.
Main Results:
- MS patients exhibited increased activation in the left medial prefrontal cortex (Brodmann area 8/9/10) and decreased activation in the right frontal cortex (including BA 45 and basal ganglia) compared to controls.
- These activation differences correlated with brain parenchymal volume, a measure of MS disease burden.
- Rivastigmine administration led to a relative normalization of brain activation in MS patients but not in controls.
Conclusions:
- Medial prefrontal cortex recruitment represents adaptive brain plasticity compensating for cognitive deficits in MS.
- This functional plasticity is modulated by cholinergic pathways, potentially through mechanisms like unmasking latent pathways.