Disrupted functional connectivity and activity in the white matter of the sensorimotor system in patients with pontine strokes.


Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
02 2019
Historique:
received: 20 03 2018
accepted: 22 05 2018
pubmed: 7 10 2018
medline: 24 3 2020
entrez: 7 10 2018
Statut: ppublish

Résumé

White matter (WM) blood oxygenation level-dependent (BOLD) signals are reported to be related to neural activity. However, sensitivity of WM BOLD signals to disease remains unclear. To investigate WM BOLD signal changes, directional variations of resting-state correlations in sensorimotor system in patients with pontine strokes, and to determine the relationship between WM BOLD signals and motor deficits. Prospective. Ethical approval was obtained from the local Ethics Committee and each participant gave written informed consent. Sixteen patients with focal pontine lesions and 16 age-matched control subjects were included. 3.0T T Relevant WM tracts in the sensorimotor system by region of interest-wise analysis were identified. Power spectra of BOLD signals and anisotropy of resting-state correlations were measured in sensorimotor system and compared between two groups. Their relationships with clinical scores were analyzed. Two-sample t-test; partial correlation analysis. Power spectra of BOLD signals in nerve tracts on the ipsilesional side were significantly decreased (P < 0.05). Compared with that in healthy subjects, the anisotropy of resting-state correlations along identified WM tracts was decreased in the thalamus-dorsolateral prefrontal cortex bundle on the contralesional side, and all nerve tracts on the ipsilesional side. Partial least squares regression analysis showed the predicted outcome scores correlated significantly with actual Fugl-Meyer scores (R Our findings suggest that disrupted activity and functional connectivity in WM areas of the sensorimotor system can be detected in pontine strokes, and may serve as a biomarker for motor function prediction. 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:478-486.

Sections du résumé

BACKGROUND
White matter (WM) blood oxygenation level-dependent (BOLD) signals are reported to be related to neural activity. However, sensitivity of WM BOLD signals to disease remains unclear.
PURPOSE
To investigate WM BOLD signal changes, directional variations of resting-state correlations in sensorimotor system in patients with pontine strokes, and to determine the relationship between WM BOLD signals and motor deficits.
STUDY TYPE
Prospective.
SUBJECTS
Ethical approval was obtained from the local Ethics Committee and each participant gave written informed consent. Sixteen patients with focal pontine lesions and 16 age-matched control subjects were included.
FIELD STRENGTH/SEQUENCE
3.0T T
ASSESSMENT
Relevant WM tracts in the sensorimotor system by region of interest-wise analysis were identified. Power spectra of BOLD signals and anisotropy of resting-state correlations were measured in sensorimotor system and compared between two groups. Their relationships with clinical scores were analyzed.
STATISTICAL TESTS
Two-sample t-test; partial correlation analysis.
RESULTS
Power spectra of BOLD signals in nerve tracts on the ipsilesional side were significantly decreased (P < 0.05). Compared with that in healthy subjects, the anisotropy of resting-state correlations along identified WM tracts was decreased in the thalamus-dorsolateral prefrontal cortex bundle on the contralesional side, and all nerve tracts on the ipsilesional side. Partial least squares regression analysis showed the predicted outcome scores correlated significantly with actual Fugl-Meyer scores (R
DATA CONCLUSION
Our findings suggest that disrupted activity and functional connectivity in WM areas of the sensorimotor system can be detected in pontine strokes, and may serve as a biomarker for motor function prediction.
LEVEL OF EVIDENCE
2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:478-486.

Identifiants

pubmed: 30291655
doi: 10.1002/jmri.26214
doi:

Substances chimiques

Biomarkers 0
Oxygen S88TT14065

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

478-486

Informations de copyright

© 2018 International Society for Magnetic Resonance in Medicine.

Auteurs

Jingjuan Wang (J)

Department of Nuclear Medicine, Xuanwu Hospital Capital Medical University, Beijing, China.

Zhipeng Yang (Z)

Department of Computer Science, Chengdu University Information Technology, Chengdu, China.
Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.

Miao Zhang (M)

Department of Radiology, Xuanwu Hospital Capital Medical University, Beijing, China.

Yi Shan (Y)

Department of Radiology, Xuanwu Hospital Capital Medical University, Beijing, China.

Dongdong Rong (D)

Department of Radiology, Xuanwu Hospital Capital Medical University, Beijing, China.

Qingfeng Ma (Q)

Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.

Hesheng Liu (H)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Xi Wu (X)

Department of Computer Science, Chengdu University Information Technology, Chengdu, China.
Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.

Kuncheng Li (K)

Department of Radiology, Xuanwu Hospital Capital Medical University, Beijing, China.

Zhaohua Ding (Z)

Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.

Jie Lu (J)

Department of Nuclear Medicine, Xuanwu Hospital Capital Medical University, Beijing, China.
Department of Radiology, Xuanwu Hospital Capital Medical University, Beijing, China.

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