Spatial patterns of intrinsic brain activity and functional connectivity in facial synkinesis patients

Ma, Jie; Hua, Xu‐Yun; Zheng, Mou‐Xiong; Wu, Jiajia; Huo, Bei‐Bei; Xing, Xiang‐Xin; Ding, Wei; Xu, Jian‐Guang

doi:10.1080/02688697.2020.1773396

Cited by 7 publications

(6 citation statements)

References 44 publications

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“…The analysis of resting-state data was performed with RESTplus V1.2 (the Resting-State fMRI Data Analysis Toolkit plus V1.2, http://restfmri.net/forum/RESTplusV1.2 ), to perform amplitude of low-frequency fluctuations (ALFF) or regional homogeneity (ReHo) computations. In line with our previous research [ 21 , 22 ], we followed the same data processing protocol by discarding the initial ten volumes of each subject to reach signal equilibrium, then the processing procedure including: (1) time correction of slice scans; (2) the correction of head movement (all head movements were below 2.5 mm or 2.5° in any direction); (3) aligning the functional brain images to the standard EPI template through spatial normalization; (4) regression of nuisance variables, including the white matter and cerebral spinal fluid blood oxygen level-dependent (BOLD) signals and head motion with six motion profiles; (5) spatial smoothing using a Gaussian kernel with a full width at half maximum of 6 mm before the ALFF calculation and after ReHo calculation; (6) removal of linear trends; (7) ALFF and ReHo calculations for the traditional low-frequency band (0.01–0.08 Hz), and (8) transformation of both ALFF and ReHo values into a Z score (zALFF and zReHo)for further comparison between groups.…”

Section: Methodssupporting

confidence: 93%

Motor imagery-based brain–computer interface rehabilitation programs enhance upper extremity performance and cortical activation in stroke patients

Ma,

Wu,

Cao

et al. 2024

J NeuroEngineering Rehabil

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Background The most challenging aspect of rehabilitation is the repurposing of residual functional plasticity in stroke patients. To achieve this, numerous plasticity-based clinical rehabilitation programs have been developed. This study aimed to investigate the effects of motor imagery (MI)-based brain–computer interface (BCI) rehabilitation programs on upper extremity hand function in patients with chronic hemiplegia. Design A 2010 Consolidated Standards for Test Reports (CONSORT)-compliant randomized controlled trial. Methods Forty-six eligible stroke patients with upper limb motor dysfunction participated in the study, six of whom dropped out. The patients were randomly divided into a BCI group and a control group. The BCI group received BCI therapy and conventional rehabilitation therapy, while the control group received conventional rehabilitation only. The Fugl–Meyer Assessment of the Upper Extremity (FMA-UE) score was used as the primary outcome to evaluate upper extremity motor function. Additionally, functional magnetic resonance imaging (fMRI) scans were performed on all patients before and after treatment, in both the resting and task states. We measured the amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), z conversion of ALFF (zALFF), and z conversion of ReHo (ReHo) in the resting state. The task state was divided into four tasks: left-hand grasping, right-hand grasping, imagining left-hand grasping, and imagining right-hand grasping. Finally, meaningful differences were assessed using correlation analysis of the clinical assessments and functional measures. Results A total of 40 patients completed the study, 20 in the BCI group and 20 in the control group. Task-related blood-oxygen-level-dependent (BOLD) analysis showed that when performing the motor grasping task with the affected hand, the BCI group exhibited significant activation in the ipsilateral middle cingulate gyrus, precuneus, inferior parietal gyrus, postcentral gyrus, middle frontal gyrus, superior temporal gyrus, and contralateral middle cingulate gyrus. When imagining a grasping task with the affected hand, the BCI group exhibited greater activation in the ipsilateral superior frontal gyrus (medial) and middle frontal gyrus after treatment. However, the activation of the contralateral superior frontal gyrus decreased in the BCI group relative to the control group. Resting-state fMRI revealed increased zALFF in multiple cerebral regions, including the contralateral precentral gyrus and calcarine and the ipsilateral middle occipital gyrus and cuneus, and decreased zALFF in the ipsilateral superior temporal gyrus in the BCI group relative to the control group. Increased zReHo in the ipsilateral cuneus and contralateral calcarine and decreased zReHo in the contralateral middle temporal gyrus, temporal pole, and superior temporal gyrus were observed post-intervention. According to the subsequent correlation analysis, the increase in the FMA-UE score showed a positive correlation with the mean zALFF of the contralateral precentral gyrus (r = 0.425, P < 0.05), the mean zReHo of the right cuneus (r = 0.399, P < 0.05). Conclusion In conclusion, BCI therapy is effective and safe for arm rehabilitation after severe poststroke hemiparesis. The correlation of the zALFF of the contralateral precentral gyrus and the zReHo of the ipsilateral cuneus with motor improvements suggested that these values can be used as prognostic measures for BCI-based stroke rehabilitation. We found that motor function was related to visual and spatial processing, suggesting potential avenues for refining treatment strategies for stroke patients. Trial registration: The trial is registered in the Chinese Clinical Trial Registry (number ChiCTR2000034848, registered July 21, 2020).

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Section: Methodssupporting

confidence: 93%

Motor imagery-based brain–computer interface rehabilitation programs enhance upper extremity performance and cortical activation in stroke patients

Ma,

Wu,

Cao

et al. 2024

J NeuroEngineering Rehabil

Self Cite

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“…Functional images of each subject were processed by the Resting-State fMRI Data Analysis Toolkit plus V1.2 (RESTplus V1.2, http://restfmri.net/forum/RESTplusV1.2), which is based on Statistical Parametric Mapping (SPM12) 1 on the MATLAB 2013b (MathWorks, Natick, MA, USA) platform. The Data processing process is the same as the previous research (Ma et al, 2021): (1) Slice scan time correction, (2) Head movement correction (the head movements were all less than 2.0 mm or 2.0 degrees in any direction), (3) Spatial normalization of the functional images via the standard EPI template, (4) Regression of nuisance variables, including the white matter and cerebral spinal fluid blood oxygen level dependent (BOLD) signal and the effects of head motion using six head motion profiles, (5) Spatial smoothing was performed before the amplitude of low frequency fluctuations (ALFF) (Zang et al, 2007) calculation and after regional homogeneity (ReHo) (Lv et al, 2019) and degree 1 http://www.fil.ion.ucl.ac.uk/spm centrality (DC) (Zuo et al, 2012) calculation using a Gaussian kernel of 6 mm full width at half maximum, (6) Removal of linear trends, and (7) ALFF, ReHo and DC were calculated for the traditional low-frequency band (0.01-0.08 Hz).…”

Section: Imaging Data Processingmentioning

confidence: 99%

The relationship between processing speed and remodeling spatial patterns of intrinsic brain activity in the elderly with different sleep duration

Zou

Wang

et al. 2023

Front. Neurosci.

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ObjectiveBrain neuroplasticity in which sleep affects the speed of information processing in the elderly population has not been reported. Therefore, this study was conducted to explore the effects of sleep on information processing speed and its central plasticity mechanism in the elderly.MethodsA total of 50 individuals aged 60 and older were enrolled in this case control study. All subjects were divided into two groups according to the sleep time: short sleep duration (< 360 min) (6 men and 19 women; mean age: 66.96 ± 4.28 years old), and non-short sleep duration (> 360 min) (13 men and 12 women). Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected, and the amplitude of low frequency fluctuation (ALFF), regional homogeneity (ReHo), and degree centrality (DC) were calculated for each participant. Two-sample t-tests were performed to compare the ALFF, ReHo, and DC maps between the two groups. Then, the relationships among clinical features, fMRI and cognitive function were analyzed using general linear model.ResultsShort sleep duration group showed significantly increased ALFF value in the bilateral middle frontal gyrus and right insula; significantly increased ReHo value in the left superior parietal gyrus, and decreased ReHo value in the right crebellum; significantly decreased DC value in the left inferior occipital gyrus, left superior parietal gyrus and right cerebellum (p < 0.05, AlphaSim correction). The ALFF value of right insula is significantly associated with symbol digit modalities test (SDMT) score (β = −0.363, p = 0.033).ConclusionShort sleep duration and processing speed are significantly associated with remodeling spatial patterns of intrinsic brain activity in the elderly.

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“…Several human magnetic resonance imaging (MRI) and functional MRI (fMRI) studies in recent years have supported the role of functionally disturbed cortical motor control in patients with facial synkinesis ( 22 , 23 ). This may help to develop new treatment concepts.…”

Section: Resultsmentioning

confidence: 99%

“…This is accompanied by a pathological coupling of cortical areas during facial tasks ( 23 ). The local synchronization in motion-related brain regions is decreased ( 22 ). There seems to also be an irreversible structural remodeling of gray matter in patients with facial synkinesis.…”

Section: Resultsmentioning

confidence: 99%

Pathogenesis, diagnosis and therapy of facial synkinesis: A systematic review and clinical practice recommendations by the international head and neck scientific group

et al. 2022

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IntroductionPost-paralytic facial synkinesis after facial nerve injury produces functional disabilities and mimetic deficits, but also cosmetic and non-motor psychosocial impairments for the patients. These patients typically have a high and continuous high motivation for rehabilitation. The aim is to inform the affected patients and their therapeutic professionals (otorhinolaryngologist - head and neck surgeons; oral-maxillofacial surgeons, plastic and reconstructive surgeons, neurosurgeons, neurologists, and mime therapists be it speech and language therapy- or physiotherapy-based) and to provide practical recommendations for diagnostics and a stepwise systematic treatment approach of facial synkinesis.MethodsIn the first phase, a systematic literature search on the topic in PubMed and ScienceDirect starting in 2008 resulted in 132 articles. These were the basis for the review and a comprehensive series of consensus statements on the most important diagnostic tests and treatment options. In the second phase, one consensus article circulated among the membership of the International Head and Neck Scientific Group until a final agreement was reached for all recommendations.ResultsDiagnostics should include a standardized assessment of the degree of synkinesis using validated clinician-graded instruments and synkinesis-specific patient-reported outcome measures. Treatments for facial synkinesis include facial training mainly based on facial biofeedback retraining, chemodenervation with botulinum toxin, selective neurectomy, myectomy, and any combination treatment of these options.ConclusionA basic understanding of the pathomechanisms of synkinesis is essential to understand the treatment strategies. A standardized assessment of the synkinetic symptoms and the individual synkinesis pattern is needed. The first-line treatment is facial training, followed by botulinum toxin. Surgery is reserved for individual cases with unsatisfactory first-line treatment.

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Spatial patterns of intrinsic brain activity and functional connectivity in facial synkinesis patients

Cited by 7 publications

References 44 publications

Motor imagery-based brain–computer interface rehabilitation programs enhance upper extremity performance and cortical activation in stroke patients

Motor imagery-based brain–computer interface rehabilitation programs enhance upper extremity performance and cortical activation in stroke patients

The relationship between processing speed and remodeling spatial patterns of intrinsic brain activity in the elderly with different sleep duration

Pathogenesis, diagnosis and therapy of facial synkinesis: A systematic review and clinical practice recommendations by the international head and neck scientific group

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