Related Experiment Video
Updated: Jul 9, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
fMRI reliability in subjects with stroke
Teresa Jacobson Kimberley1, Gauri Khandekar, Michael Borich
1Department of Physical Medicine and Rehabilitation Program in Physical Therapy/Rehabilitation Science, University of Minnesota, MMC 388, 426 Church St. SE, Minneapolis, MN 55455, USA. tjk@umn.edu
Abstract:
Functional MRI (fMRI) has become one of the most commonly used neuroimaging tools to assess the cortical effects associated with rehabilitation, learning, or disease recovery in subjects with stroke. Despite this, there has been no systematic study of the reliability of the fMR signal in this population. The purpose of this study was to examine the within- and between-session reliability of fMRI in cortical and cerebellar structures in subjects with stroke during a complex, continuous visual motor task performed with the less affected hand. Nine subjects with stroke underwent four testing trials during two sessions separated by three weeks. Subjects performed a drawing task using an MRI compatible joystick while in the MRI. Methods of analysis evaluated included: percent signal intensity change, active voxel count and a voxel by voxel stat value analysis within and between testing sessions. Reliability was determined with Interclass correlation coefficients (ICC) in the following regions of interest: primary motor (M1), primary sensory (S1), premotor cortex (PMC), medial cerebellum (MCB), and lateral cerebellum (LCB). Results indicate that intensity change has superior reliability to the other methods of analysis (Average ICC across brain regions and trials: intensity change: 0.73, voxel count: 0.58, voxel by voxel: 0.67) and that generally with any analysis method, within-session reliability was higher than between-session, as indicated by higher ICC values across brain regions. Overall, when comparing between-session results, moderate to good reliability was obtained with intensity change (ICC: M1: 0.52, S1: 0.80, SMA: 0.78, PMC: 0.94, MCB: 0.86, and LCB: 0.59). These results show good reliability in subjects with stroke when performing a continuous motor task. These findings give confidence for interpreting fMRI test/retest research in subjects with stroke.
Insights
Functional MRI (fMRI) shows good reliability for assessing brain changes in stroke survivors. This study confirms fMRI's utility in stroke rehabilitation research by validating its test-retest consistency.
Area of Science:
- Neuroimaging
- Rehabilitation Medicine
- Stroke Recovery
Background:
- Functional MRI (fMRI) is crucial for evaluating brain changes post-stroke.
- No prior systematic studies assessed fMRI signal reliability in stroke patients.
Purpose of the Study:
- To systematically examine the within- and between-session reliability of fMRI signals.
- To assess reliability in cortical and cerebellar regions during a visual-motor task in stroke subjects.
Main Methods:
- Nine stroke subjects performed a continuous visual-motor task over four trials across two sessions (3 weeks apart).
- Analyzed signal intensity change, active voxel count, and voxel-by-voxel statistics.
- Reliability determined using Interclass Correlation Coefficients (ICC) in motor, sensory, premotor, and cerebellar regions.
Main Results:
- Percent signal intensity change demonstrated superior reliability (Avg ICC: 0.73) compared to other methods.
- Within-session reliability generally exceeded between-session reliability across all methods.
- Moderate to good between-session reliability was observed for signal intensity change in key brain regions (e.g., PMC: 0.94, MCB: 0.86).
Conclusions:
- fMRI exhibits good test-retest reliability in stroke patients performing a continuous motor task.
- Findings support the use of fMRI for longitudinal research and clinical assessment in stroke populations.
- Percent signal intensity change is a reliable metric for fMRI studies in stroke survivors.
More Related Videos
08:33A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers
Published on: January 5, 2024
09:59A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017