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Intra-individual variability in information processing speed reflects white matter microstructure in multiple

Erin L Mazerolle¹, Magdalena A Wojtowicz, Antonina Omisade

¹McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Room WB325, 3801 University St, Montreal, Quebec H3A 2B4, Canada ; Department of Psychology and Neuroscience, Dalhousie University, Life Sciences Centre, P.O. Box 15000, Halifax, Nova Scotia B3H 4R2, Canada.

Neuroimage. Clinical

|November 2, 2013

Summary

Intra-individual variability (IIV) in information processing speed, not just average speed, is a more sensitive indicator of neurological status in multiple sclerosis (MS). Increased IIV in MS patients correlates with reduced white matter integrity, highlighting its importance in understanding cognitive dysfunction.

Keywords:

CTIP, Computerized Test of Information Processing Diffusion tensor imaging IIV, intra-individual variability Information processing speed Intra-individual variability Multiple sclerosis Tract-based spatial statistics

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Area of Science:

Neuroscience
Cognitive Psychology
Radiology

Background:

Slowed information processing speed is a common symptom in multiple sclerosis (MS).
Intra-individual variability (IIV) in processing speed may be a more sensitive marker of neurological impairment than mean-level performance.
Understanding the neural basis of IIV in MS is crucial for accurate diagnosis and treatment.

Purpose of the Study:

To investigate the neural underpinnings of increased IIV in information processing speed in individuals with relapsing-remitting MS.
To examine the relationship between IIV, mean processing speed, and white matter integrity using diffusion tensor imaging (DTI).

Main Methods:

Twenty women with relapsing-remitting MS and 20 controls completed the Computerized Test of Information Processing (CTIP) to measure mean response time and IIV.
Diffusion tensor imaging (DTI) and tract-based spatial statistics were used to assess white matter microstructure.
Clinical measures of information processing speed were also collected for comparison.

Main Results:

MS patients exhibited slower and more variable responses on the CTIP compared to controls.
Significant associations were found between white matter microstructure and IIV in MS patients.
Increased IIV was linked to reduced integrity in a greater number of white matter tracts than mean processing speed measures.

Conclusions:

Intra-individual variability (IIV) in information processing speed is a more sensitive indicator of white matter disease burden in MS than mean-level performance.
Assessing within-person fluctuations in cognitive function, alongside average performance, is valuable for understanding brain-behavior relationships in neurological disorders with white matter pathology.