A.R.C. performed the analysis of most imaging data (BOLD functional connectivity analysis and stroke lesion segmentation analysis), imaging-behavior correlations, and statistical analysis, assisted in the recruitment and scanning of subjects, and wrote the paper.
Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke
Version of Record online: 27 OCT 2009
Copyright © 2010 American Neurological Association
Annals of Neurology
Volume 67, Issue 3, pages 365–375, March 2010
How to Cite
Carter, A. R., Astafiev, S. V., Lang, C. E., Connor, L. T., Rengachary, J., Strube, M. J., Pope, D. L. W., Shulman, G. L. and Corbetta, M. (2010), Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Ann Neurol., 67: 365–375. doi: 10.1002/ana.21905
- Issue online: 29 MAR 2010
- Version of Record online: 27 OCT 2009
- Accepted manuscript online: 27 OCT 2009 12:00AM EST
- Manuscript Accepted: 20 OCT 2009
- Manuscript Revised: 12 OCT 2009
- Manuscript Received: 14 APR 2009
- National Institute of Mental Health. Grant Number: R01 MH71920-06
- National Institute of Neurological Disorders and Stroke. Grant Numbers: R01 NS48013, R01 HD061117-05A2, 1K08NS064365-01A1
- Robert Wood Johnson Foundation Amos Faculty Development Program
- James S. McDonnell Foundation in supporting the Cognitive Rehabilitation Research Group
- Rehabilitation Institute of St. Louis
Focal brain lesions can have important remote effects on the function of distant brain regions. The resulting network dysfunction may contribute significantly to behavioral deficits observed after stroke. This study investigates the behavioral significance of changes in the coherence of spontaneous activity in distributed networks after stroke by measuring resting state functional connectivity (FC) using functional magnetic resonance imaging.
In acute stroke patients, we measured FC in a dorsal attention network and an arm somatomotor network, and determined the correlation of FC with performance obtained in a separate session on tests of attention and motor function. In particular, we compared the behavioral correlation with intrahemispheric FC to the behavioral correlation with interhemispheric FC.
In the attention network, disruption of interhemispheric FC was significantly correlated with abnormal detection of visual stimuli (Pearson r with field effect = −0.624, p = 0.002). In the somatomotor network, disruption of interhemispheric FC was significantly correlated with upper extremity impairment (Pearson r with contralesional Action Research Arm Test = 0.527, p = 0.036). In contrast, intrahemispheric FC within the normal or damaged hemispheres was not correlated with performance in either network. Quantitative lesion analysis demonstrated that our results could not be explained by structural damage alone.
These results suggest that lesions cause state changes in the spontaneous functional architecture of the brain, and constrain behavioral output. Clinically, these results validate using FC for assessing the health of brain networks, with implications for prognosis and recovery from stroke, and underscore the importance of interhemispheric interactions. ANN NEUROL 2010;67:365–375