Changes in brain morphometry after motor rehabilitation in chronic stroke

Arachchige, Pradeepa Ruwan Wanni; Karunarathna, Sadhani; Uchida, W.; Ueda, Ryo; Median, Abdul Chalik; Yao, Daryl Patrick Gamboa; Abo, Masahiro; Senoo, Atsushi

doi:10.1080/08990220.2021.1968369

Cited by 3 publications

(2 citation statements)

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“…Further, we showed that increased sensorimotor cortical thickness predicted better motor function, above and beyond the effects of age and spontaneous beta power in the sensorimotor cortices. Previous studies have shown changes in cortical thickness to be related to improved motor function due to rehabilitation following stroke ( Arachchige et al, 2021 ; Ueda et al, 2019 ). In one such study focusing on post-stroke patients with motor paralysis, cortical thickness of the postcentral and supramarginal gyri in the affected hemisphere were positively correlated with motor improvement following transcranial magnetic stimulation and occupational therapy sessions ( Ueda et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging

et al. 2022

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Section: Discussionmentioning

confidence: 99%

Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging

et al. 2022

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“…They revealed different aspects of the brain structure, implying that combined the three methods may further contribution to the study of neurogenic diseases. The combination of the three methods focuses on the Parkinson's disease [ 42 , 45 ], musical training [ 46 ], and chronic stroke [ 47 ], but has not been applied to CTN.…”

Section: Introductionmentioning

confidence: 99%

Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis

Wang

Pan

et al. 2023

J Headache Pain

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Objective This study aimed to combine voxel-based morphometry, deformation-based morphometry, and surface-based morphometry to analyze gray matter volume and cortex shape in classical trigeminal neuralgia patients. Methods This study included 79 classical trigeminal neuralgia patients and age- and sex-matched 81 healthy controls. The aforementioned three methods were used to analyze brain structure in classical trigeminal neuralgia patients. Spearman correlation analysis was used to analyze the correlation of brain structure with the trigeminal nerve and clinical parameters. Results The bilateral trigeminal nerve was atrophied, and the ipsilateral trigeminal nerve volume was smaller than the contralateral volume in the classical trigeminal neuralgia. The gray matter volume of Temporal_Pole_Sup_R and Precentral_R was found to be decreased using voxel-based morphometry. The gray matter volume of Temporal_Pole_Sup_R had a positive correlation with disease duration and a negative correlation with the cross-section area of the compression point and the quality-of-life score in trigeminal neuralgia. The gray matter volume of Precentral_R was negatively correlated with the ipsilateral volume of the trigeminal nerve cisternal segment, cross-section area of compression point, and visual analogue scale. The gray matter volume of Temporal_Pole_Sup_L was found to be increased using deformation-based morphometry and had a negative correlation with the self-rating anxiety scale. The gyrification of the middle temporal gyrus_L increased and the Postcentral_L thickness decreased, as detected using surface-based morphometry. Conclusions The gray matter volume and cortical morphology of pain-related brain regions were correlated with clinical and trigeminal nerve parameters. voxel-based morphometry, deformation-based morphometry, and surface-based morphometry complemented each other in analyzing the brain structures of patients with classical trigeminal neuralgia and provided a basis for studying the pathophysiology of classical trigeminal neuralgia. Graphical Abstract

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Motor Cortex Plasticity During Functional Recovery Following Brain Damage

Higo¹

2022

J. Robot. Mechatron.

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Although brain damage causes functional impairment, it is often followed by partial or total recovery of function. Recovery is believed to occur primarily because of brain plasticity. Both human and animal studies have significantly contributed to uncovering the neuronal basis of plasticity. Recent advances in brain imaging technology have enabled the investigation of plastic changes in living human brains. In addition, animal experiments have revealed detailed changes at the neural and genetic levels. In this review, plasticity in motor-related areas of the cerebral cortex, which is one of the most well-studied areas of the neocortex in terms of plasticity, is reviewed. In addition, the potential of technological interventions to enhance plasticity and promote functional recovery following brain damage is discussed. Novel neurorehabilitation technologies are expected to be established based on the emerging research on plasticity from the last several decades.

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Changes in brain morphometry after motor rehabilitation in chronic stroke

Abstract: Supplementary document Table 1. Post-intervention changes in GMV of VBM analysis Significant results are reported at p < 0.05 (False discovery rate). CL indicates contralesional hemisphere and IL indicates ipsilesional hemisphere.

Cited by 3 publications

References 58 publications

Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging

Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging

Alteration of the cortical morphology in classical trigeminal neuralgia: voxel-, deformation-, and surface-based analysis

Motor Cortex Plasticity During Functional Recovery Following Brain Damage

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