Electroencephalographic Phase Synchrony Index as a Biomarker of Post-Stroke Aphasia Recovery.
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| Název: | Electroencephalographic Phase Synchrony Index as a Biomarker of Post-Stroke Aphasia Recovery. |
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| Autoři: | Kawano T; Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka, Japan., Hattori N; Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka, Japan.; Department of Rehabilitation, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan., Uno Y; RIKEN CBS-TOYOTA Collaboration Center, RIKEN Center for Brain Science, Wako, Japan., Hatakenaka M; Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka, Japan., Yagura H; Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka, Japan., Fujimoto H; Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka, Japan., Kitajo K; RIKEN CBS-TOYOTA Collaboration Center, RIKEN Center for Brain Science, Wako, Japan.; Division of Neural Dynamics, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan.; Physiological Sciences Program, Graduate Institute for Advanced Studies, SOKENDAI, Okazaki, Japan., Miyai I; Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka, Japan. |
| Zdroj: | Neurorehabilitation and neural repair [Neurorehabil Neural Repair] 2025 Oct; Vol. 39 (10), pp. 839-850. Date of Electronic Publication: 2025 Jul 13. |
| Způsob vydávání: | Journal Article; Observational Study |
| Jazyk: | English |
| Informace o časopise: | Publisher: Sage Publications Country of Publication: United States NLM ID: 100892086 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6844 (Electronic) Linking ISSN: 15459683 NLM ISO Abbreviation: Neurorehabil Neural Repair Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2002- : Thousand Oaks, CA : Sage Publications Original Publication: New York, NY : Demos Medical Pub., c1999- |
| Výrazy ze slovníku MeSH: | Aphasia*/etiology , Aphasia*/physiopathology , Aphasia*/rehabilitation , Aphasia*/diagnosis , Recovery of Function*/physiology , Electroencephalography Phase Synchronization*/physiology , Nerve Net*/physiopathology , Stroke*/complications , Stroke*/physiopathology , Ischemic Stroke*/complications , Ischemic Stroke*/physiopathology , Gamma Rhythm*/physiology, Humans ; Male ; Female ; Middle Aged ; Aged ; Longitudinal Studies ; Stroke Rehabilitation ; Biomarkers ; Speech Therapy ; Electroencephalography |
| Abstrakt: | Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: K. Kitajo. has a patent (JP6142354) issued to RIKEN (Wako, Japan). K. Kitajo and Y. Uno. have a patent JP6544142) issued to RIKEN. T. Kawano, N. Hattori, M. Hatakenaka, H. Yagura, H. Fujimoto, and I. Miyai report no competing interests. BackgroundPost-stroke aphasia is considered a language network disorder, and neuroimaging may help understand network alterations. However, the prediction of aphasia recovery remains challenging.ObjectiveWe aimed to explore biomarkers for aphasia recovery using a novel clinically feasible method, which we previously reported as useful for evaluating motor recovery, that included the phase synchrony index (PSI) obtained from resting-state 19-channel electroencephalography.MethodsThis longitudinal observational study included patients with left frontal ischemic lesions admitted for post-acute rehabilitation. We recorded electroencephalograms at the time of admission. Recovery was defined as a change in composite speech score. Based on electrode settings, we focused on 4 language-related networks: (1) left front-temporal, (2) right front-temporal, (3) inter-frontal, and (4) inter-temporal networks. We first evaluated the correlation between these network PSIs and recovery scores and then the predictive potential of our method using the receiver operating characteristic curve and multivariable regression analyses.ResultsWe enrolled 24 patients. Electroencephalograms were recorded for a median of 37.0 days after the stroke. The median speech therapy time was 53.7 hours. Inter-temporal PSI (gamma band) was significantly positively correlated with recovery scores (ρ = .642; 95% confidence interval = 0.311-0.834; P = .017). The PSI could predict patients with good recovery (sensitivity = 84.6%; specificity = 90.9%), and the inter-temporal PSIs were useful in predicting recovery (adjusted R2 = .545).ConclusionsOur results revealed an association between the posterior language network adaptive response and speech recovery in patients with frontal lesions. The PSI may reflect post-stroke network alterations and may be a biomarker of aphasia recovery. |
| Contributed Indexing: | Keywords: aphasia; biomarkers; electroencephalography; longitudinal studies; stroke |
| Substance Nomenclature: | 0 (Biomarkers) |
| Entry Date(s): | Date Created: 20250713 Date Completed: 20251003 Latest Revision: 20251119 |
| Update Code: | 20251121 |
| DOI: | 10.1177/15459683251347629 |
| PMID: | 40652354 |
| Databáze: | MEDLINE |
Nájsť tento článok vo Web of Science | Abstrakt: | Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: K. Kitajo. has a patent (JP6142354) issued to RIKEN (Wako, Japan). K. Kitajo and Y. Uno. have a patent JP6544142) issued to RIKEN. T. Kawano, N. Hattori, M. Hatakenaka, H. Yagura, H. Fujimoto, and I. Miyai report no competing interests.<br />BackgroundPost-stroke aphasia is considered a language network disorder, and neuroimaging may help understand network alterations. However, the prediction of aphasia recovery remains challenging.ObjectiveWe aimed to explore biomarkers for aphasia recovery using a novel clinically feasible method, which we previously reported as useful for evaluating motor recovery, that included the phase synchrony index (PSI) obtained from resting-state 19-channel electroencephalography.MethodsThis longitudinal observational study included patients with left frontal ischemic lesions admitted for post-acute rehabilitation. We recorded electroencephalograms at the time of admission. Recovery was defined as a change in composite speech score. Based on electrode settings, we focused on 4 language-related networks: (1) left front-temporal, (2) right front-temporal, (3) inter-frontal, and (4) inter-temporal networks. We first evaluated the correlation between these network PSIs and recovery scores and then the predictive potential of our method using the receiver operating characteristic curve and multivariable regression analyses.ResultsWe enrolled 24 patients. Electroencephalograms were recorded for a median of 37.0 days after the stroke. The median speech therapy time was 53.7 hours. Inter-temporal PSI (gamma band) was significantly positively correlated with recovery scores (ρ = .642; 95% confidence interval = 0.311-0.834; P = .017). The PSI could predict patients with good recovery (sensitivity = 84.6%; specificity = 90.9%), and the inter-temporal PSIs were useful in predicting recovery (adjusted R<sup>2</sup> = .545).ConclusionsOur results revealed an association between the posterior language network adaptive response and speech recovery in patients with frontal lesions. The PSI may reflect post-stroke network alterations and may be a biomarker of aphasia recovery. |
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| ISSN: | 1552-6844 |
| DOI: | 10.1177/15459683251347629 |