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Learning and cognitive fatigue trajectories in multiple sclerosis defined using a burst measurement design
Roee Holtzer1, Frederick Foley, Vanessa D'Orio
1Ferkauf Graduate School of Psychology, Yeshiva University, NY, USA.
Summary
This study found that patients with relapsing-remitting multiple sclerosis (RRMS) exhibit impaired learning and increased cognitive fatigue. The burst measurement design effectively captured these deficits, suggesting its utility in clinical trials for multiple sclerosis.
Area of Science:
- Neuroscience
- Clinical Psychology
Background:
- Compromised learning and cognitive fatigue are key clinical manifestations in multiple sclerosis (MS).
- Understanding these cognitive deficits is crucial for managing the disease's impact on daily functioning.
Purpose of the Study:
- To evaluate the effect of repeated testing within and across study visits on learning and cognitive fatigue measures in relapsing-remitting multiple sclerosis (RRMS).
- To assess the utility of a burst measurement design in capturing cognitive changes in RRMS.
Main Methods:
- A burst measurement design with nine administrations of the oral Symbol Digit Modalities Test (SDMT) over three visits was used.
- Thirty RRMS patients and 30 controls participated, with assessments of learning and cognitive fatigue during each test session.
- Cognitive fatigue was measured during three 30-second intervals within each SDMT administration.
Main Results:
- Patients with RRMS demonstrated significantly poorer learning within and across visits compared to controls.
- RRMS patients exhibited worse cognitive fatigue than controls.
- In RRMS patients, poorer self-rated cognitive dysfunction correlated with impaired learning.
Conclusions:
- The burst measurement design is an optimal methodology for studying learning and cognitive fatigue in RRMS.
- This approach, utilizing time-efficient tests like the SDMT, is suitable for longitudinal studies and clinical trials in multiple sclerosis.
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