Power Spectral Density Analysis of Long-Term Motor Recovery in Patients With Subacute Stroke. (January 2019)

• Record Type: Journal Article
• Authors: Min, Yu-Sun; Park, Jang Woo; Jang, Kyung Eun; Lee, Hui Joong; Lee, Jongmin; Lee, Yang-Soo; Jung, Tae-Du; Chang, Yongmin
• Is Part Of: Neurorehabilitation & neural repair. Volume 33:Number 1(2019)
• Page Start: 38
• Page End: 46
• Publication Date: 2019-01
• Subjects: stroke -- long-term motor recovery -- resting-state functional magnetic resonance imaging (fMRI) -- power spectral density (PSD) -- Motor cortex; Nervous system -- Diseases -- Patients -- Rehabilitation -- Periodicals; Brain damage -- Patients -- Rehabilitation -- Periodicals; Spinal cord -- Wounds and injuries -- Patients -- Rehabilitation -- Periodicals; Nervous system -- Regeneration -- Periodicals; Neuroplasticity -- Periodicals; 616.804305
• DOI: 10.1177/1545968318818900
• Languages: English
• ISSNs: 1545-9683

Abstract

Background . Prognostic measures of long-term motor recovery are important in patients with stroke presenting with severe hemiplegia. Objective . We aimed to investigate whether initial power spectral density (PSD) analysis of resting-state functional magnetic resonance (fMRI) data can provide a sensitive prognostic predictor in patients with subacute stroke with severe hand disability. Methods . Twelve patients with good recovery, 14 patients with poor recovery, and 12 healthy subjects were included. PSD analysis was performed using resting-state fMRI data. Contralesional and ipsilesional PSD in the motor cortex were measured. Pearson correlation analysis was performed to assess a possible association between the difference in ipsilesional versus contralesional PSD and motor outcomes. A receiver operating characteristic (ROC) curve was constructed to estimate the discriminative value of the difference between the ipsilesional PSD and the contralesional PSD for good versus poor recovery. Results . There were no differences in PSD between the contralesional and ipsilesional hemispheres in the good recovery group ( P = .77). In contrast, there were significant differences in PSD between the 2 hemispheres in the poor recovery group ( P = .07). The difference in PSD between the 2 hemispheres had a positive correlation with post Brunnstrom stage scores. ROC analysis showed that the difference in PSD between the 2 hemispheres was sensitive in discriminating good versus poor recovery. Conclusion . The present study suggests that PSD in the motor cortex may be a sensitive predictor of late-onset motor recovery following stroke.