Impairment and Plasticity of Language-Related White Matter in Patients With Brain Arteriovenous Malformations

Deng, Xiaofeng; Hu, Yin; Zhang, Yan; Zhang, Dong; Wang, Shuo; Cao, Yong; Li, Maogui; Wang, Bo; Zong, Fangrong; Zhao, Jizong

doi:10.1161/strokeaha.121.035506

Cited by 4 publications

(16 citation statements)

References 38 publications

(66 reference statements)

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“…This discrepancy may be explained by the development period of the lesions, since AVMs develop before language learning and the establishment of language areas, but the opposite is true for acquired lesions (X. Deng et al, 2015Deng et al, , 2020Deng et al, , 2021Deng et al, , 2022.…”

Section: Discussionmentioning

confidence: 99%

“…Based on our previous studies (X. Deng et al, 2015Deng et al, , 2020Deng et al, , 2021Deng et al, , 2022, we hypothesized that reorganization of the nondominant hemisphere would play an important role. We also hypothesized that the reorganization patterns would vary with the location of the AVM nidus.…”

Section: Introductionmentioning

confidence: 99%

“…In the present study, we investigated ALFF differences between AVM patients and healthy controls, aiming to elucidate the language reorganization patterns of AVM patients from the perspective of spontaneous neuronal activities. Based on our previous studies (X. Deng et al, 2015 , 2020 , 2021 , 2022 ), we hypothesized that reorganization of the nondominant hemisphere would play an important role. We also hypothesized that the reorganization patterns would vary with the location of the AVM nidus.…”

Section: Introductionmentioning

confidence: 99%

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Resting‐state functional alterations in patients with brain arteriovenous malformations involving language areas

Deng

Wang

Zhang

et al. 2023

Human Brain Mapping

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Brain arteriovenous malformations (AVMs) may involve language areas but usually do not lead to aphasia. This study evaluated resting‐state functional alterations and investigated the language reorganization mechanism in AVM patients. Thirty‐nine patients with AVMs involving language areas and 32 age‐ and sex‐matched healthy controls were prospectively enrolled. The AVM patients were categorized into three subgroups according to lesion location: the frontal (15 patients), temporal (14 patients), and parietal subgroups (10 patients). All subjects underwent resting‐state functional magnetic resonance imaging (rs‐fMRI), and the amplitude of low‐frequency fluctuation (ALFF) approach was applied to analyze rs‐fMRI data. Language abilities were normal in all participants based on the Western Aphasia Battery. Compared with those of healthy subjects, ALFF values significantly increased (FDR corrected p < .01) in the anterior part of the right putamen in the frontal AVM subgroup, in the posterior part of the right inferior and middle temporal gyrus in the temporal AVM subgroup, and in the inferior lateral part of the left cerebellar hemisphere (lobule VIII) and the right inferior parietal lobule in the parietal AVM subgroup. Functional annotation using Neurosynth indicated that the ALFF t‐map was only significantly positively associated with the language‐related domain (FDR corrected p < .01). In patients with AVMs involving the language cortex, language network reorganization occurs to maintain normal language abilities. The brain areas recruited into the reorganized language network were located in the right cerebral and left cerebellar hemispheres, both of which are nondominant hemispheres. Differences in lesion location led to distinct reorganization patterns.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resting‐state functional alterations in patients with brain arteriovenous malformations involving language areas

Deng

Wang

Zhang

et al. 2023

Human Brain Mapping

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“…This observational study was conducted in accordance with the Declaration of Helsinki (as revised in 2013), approved by the Institutional Review Board of Beijing Tiantan Hospital (number: KY2018-103-01), and registered in the Chinese Trial Registry (clinical trial number: ChiCTR1900020993). All healthy participants were recruited via advertisements from local communities and colleges (36). Written informed consent was obtained from the participants who were all enrolled between January 2018 and November 2020.…”

Section: Study Participantsmentioning

confidence: 99%

“…The MRI data were derived from our previously published study. Data preprocessing was consistent with that reported before (36). The diffusion MRI scan was performed on a 3-T Prisma-fit scanner (Siemens Healthineers, Erlangen, Germany) with a 20-element head-neck coil.…”

Section: Diffusion Mri Data Acquisitionmentioning

confidence: 99%

The language-related cerebro-cerebellar pathway in humans: a diffusion imaging–based tractographic study

Hu¹,

Zong²,

Deng³

et al. 2023

Quant Imaging Med Surg

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Background: The cerebellum and cerebral cortex form the most important cortico-cerebellar system in the brain. However, diffusion magnetic resonance imaging (MRI)-based tractography of the connecting white matter between the cerebellum and cerebral cortex, which support language function, has not been extensively reported on. This work aims to serve as a guideline for facilitating the analysis of white matter tracts along the language-related cerebro-cerebellar pathway (LRCCP), which includes the corticopontine, pontocerebellar, corticorubral, rubroolivary, olivocerebellar, and dentatorubrothalamic tracts. Methods:The LRCCP templates were developed via processing the high-resolution, population-averaged atlas available in the Human Connectome Project (HCP)-1065 dataset (2017 Q4, 1200-subject release) in DSI Studio. The deterministic tracking was performed with the manually selected regions of interest (ROIs) on this atlas according to prior anatomic knowledge. Templates were then applied to the MRI datasets of 30 health participants acquired from a single hospital to verify the practicability of the tracking. The diffusion tensor and shape analysis metrics were calculated for all LRCCP tracts. Differences in the tracking metrics between the left and right hemispheres were compared, and the related white matter asymmetry was discussed. Results:The LRCCP templates were successfully created and applied to healthy participants for quantitative analysis. Significantly higher mean fractional anisotropy (FA) values were discovered on the left (L) corticorubral tract [L, 0.43±0.02 vs. right (R), 0.41±0.02; P<0.01] and left dentatorubrothalamic tract (L, 0.47±0.02 vs. R, 0.46±0.02; P<0.01). Significant differences in tract volume and streamline number were observed between the corticopontine, corticorubral, and dentatorubrothalamic tracts. The size of the right corticopontine and corticorubral tracts were smaller, and both had smaller streamline numbers and innervation areas when compared with the contralateral sides. The R dentatorubrothalamic tract showed a

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Lesions in White Matter in Wilson’s Disease and Correlation with Clinical Characteristics

Wang

Wei

et al. 2022

Can. J. Neurol. Sci.

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Background: Neuroimaging studies in Wilson’s disease (WD) have identified various alterations in white matter (WM) microstructural organization. However, it remains unclear whether these alterations are localized to specific regions of fiber tracts, and what diagnostic value they might have. The purpose of this study is to explore the spatial profile of WM abnormalities along defined fiber tracts in WD and its clinical relevance. Methods: Ninety-nine patients with WD (62 men and 37 women) and 91 age- and sex-matched controls (59 men and 32 women) were recruited to take part in experiments of diffusion-weighted imaging with 64 gradient vectors. The data were calculated by FMRIB Software Library (FSL) software and Automated Fiber Quantification (AFQ) software. After registration, patient groups and normal groups were compared by Mann–Whitney U test analysis. Results: Compared with the controls, the patients with WD showed widespread fractional anisotropy reduction and mean diffusivity, radial diffusivity elevation of identified fiber tracts. Significant correlations between diffusion tensor imaging (DTI) parameters and the neurological Unified Wilson’s Disease Rating Scale (UWDRS-N), serum ceruloplasmin, and 24-h urinary copper excretion were found. Conclusions: The present study has provided evidence that the metrics of DTI could be utilized as a potential biomarker of neuropathological symptoms in WD. Damage to the microstructure of callosum forceps and corticospinal tract may be involved in the pathophysiological process of neurological symptoms in WD patients, such as gait and balance disturbances, involuntary movements, dysphagia, and autonomic dysfunction.

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Impairment and Plasticity of Language-Related White Matter in Patients With Brain Arteriovenous Malformations

Cited by 4 publications

References 38 publications

Resting‐state functional alterations in patients with brain arteriovenous malformations involving language areas

Resting‐state functional alterations in patients with brain arteriovenous malformations involving language areas

The language-related cerebro-cerebellar pathway in humans: a diffusion imaging–based tractographic study

Lesions in White Matter in Wilson’s Disease and Correlation with Clinical Characteristics

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