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1.
Neurotherapeutics ; 20(6): 1755-1766, 2023 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-37843768

RESUMO

Magnetic resonance-guided focused ultrasound (MRgFUS) has brought thalamotomy back to the frontline for essential tremor (ET). As functional organization of human brain strictly follows hierarchical principles which are frequently deficient in neurological diseases, whether additional damage from MRgFUS thalamotomy induces further disruptions of ET functional scaffolds are still controversial. This study was to examine the alteration features of brain functional frameworks following MRgFUS thalamotomy in patients with ET. We retrospectively obtained preoperative (ETpre) and postoperative 6-month (ET6m) data of 30 ET patients underwent MRgFUS thalamotomy from 2018 to 2020. Their archived functional MR images were used to functional gradient comparison. Both supervised pattern learning and stepwise linear regression were conducted to associate gradient features to tremor symptoms with additional neuropathophysiological analysis. MRgFUS thalamotomy relieved 78.19% of hand tremor symptoms and induced vast global framework alteration (ET6m vs. ETpre: Cohen d = - 0.80, P < 0.001). Multiple robust alterations were identified especially in posterior cingulate cortex ([Formula: see text] ET6m vs. [Formula: see text] ETpre: Cohen d = 0.87, P = 0.048). Compared with matched health controls (HCs), its gradient distances to primary communities were significantly increased in [Formula: see text] ETpre patients with anomalous stepwise connectivity (P < 0.05 in ETpre vs. HCs), which were restored after MRgFUS thalamotomy. Both global and regional gradient features could be used for tremor symptom prediction and were linked to neuropathophysiological features of Parkinson disease and oxidative phosphorylation. MRgFUS thalamotomy not only suppress tremor symptoms but also rebalances atypical functional hierarchical architecture of ET patients.


Assuntos
Tremor Essencial , Humanos , Tremor Essencial/diagnóstico por imagem , Tremor Essencial/cirurgia , Estudos Retrospectivos , Tremor , Tálamo/diagnóstico por imagem , Tálamo/cirurgia , Imageamento por Ressonância Magnética/métodos , Espectroscopia de Ressonância Magnética , Resultado do Tratamento
2.
Proc Natl Acad Sci U S A ; 117(12): 6836-6843, 2020 03 24.
Artigo em Inglês | MEDLINE | ID: mdl-32144139

RESUMO

Visuomotor impairments characterize numerous neurological disorders and neurogenetic syndromes, such as autism spectrum disorder (ASD) and Dravet, Fragile X, Prader-Willi, Turner, and Williams syndromes. Despite recent advances in systems neuroscience, the biological basis underlying visuomotor functional impairments associated with these clinical conditions is poorly understood. In this study, we used neuroimaging connectomic approaches to map the visuomotor integration (VMI) system in the human brain and investigated the topology approximation of the VMI network to the Allen Human Brain Atlas, a whole-brain transcriptome-wide atlas of cortical genetic expression. We found the genetic expression of four genes-TBR1, SCN1A, MAGEL2, and CACNB4-to be prominently associated with visuomotor integrators in the human cortex. TBR1 gene transcripts, an ASD gene whose expression is related to neural development of the cortex and the hippocampus, showed a central spatial allocation within the VMI system. Our findings delineate gene expression traits underlying the VMI system in the human cortex, where specific genes, such as TBR1, are likely to play a central role in its neuronal organization, as well as on specific phenotypes of neurogenetic syndromes.


Assuntos
Canais de Cálcio/genética , Córtex Motor/fisiopatologia , Canal de Sódio Disparado por Voltagem NAV1.1/genética , Transtornos do Neurodesenvolvimento/patologia , Proteínas/genética , Proteínas com Domínio T/genética , Córtex Visual/fisiopatologia , Adulto , Idoso , Transtorno do Espectro Autista/genética , Transtorno do Espectro Autista/patologia , Mapeamento Encefálico , Estudos de Coortes , Epilepsias Mioclônicas/genética , Epilepsias Mioclônicas/patologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Transtornos do Neurodesenvolvimento/genética , Síndrome de Prader-Willi/genética , Síndrome de Prader-Willi/patologia , Desempenho Psicomotor , Percepção Visual
3.
Neuron ; 77(3): 586-95, 2013 Feb 06.
Artigo em Inglês | MEDLINE | ID: mdl-23395382

RESUMO

The fact that people think or behave differently from one another is rooted in individual differences in brain anatomy and connectivity. Here, we used repeated-measurement resting-state functional MRI to explore intersubject variability in connectivity. Individual differences in functional connectivity were heterogeneous across the cortex, with significantly higher variability in heteromodal association cortex and lower variability in unimodal cortices. Intersubject variability in connectivity was significantly correlated with the degree of evolutionary cortical expansion, suggesting a potential evolutionary root of functional variability. The connectivity variability was also related to variability in sulcal depth but not cortical thickness, positively correlated with the degree of long-range connectivity but negatively correlated with local connectivity. A meta-analysis further revealed that regions predicting individual differences in cognitive domains are predominantly located in regions of high connectivity variability. Our findings have potential implications for understanding brain evolution and development, guiding intervention, and interpreting statistical maps in neuroimaging.


Assuntos
Mapeamento Encefálico , Córtex Cerebral/anatomia & histologia , Córtex Cerebral/fisiologia , Individualidade , Vias Neurais/fisiologia , Estimulação Acústica , Adulto , Animais , Córtex Cerebral/irrigação sanguínea , Feminino , Seguimentos , Humanos , Processamento de Imagem Assistida por Computador , Macaca mulatta , Imageamento por Ressonância Magnética , Masculino , Metanálise como Assunto , Pessoa de Meia-Idade , Oxigênio/sangue , Estimulação Luminosa , Valor Preditivo dos Testes , Análise de Regressão , Fatores de Tempo
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