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1.
Nat Commun ; 11(1): 5363, 2020 10 23.
Artigo em Inglês | MEDLINE | ID: mdl-33097714

RESUMO

Inter-areal synchronization of neuronal oscillations at frequencies below ~100 Hz is a pervasive feature of neuronal activity and is thought to regulate communication in neuronal circuits. In contrast, faster activities and oscillations have been considered to be largely local-circuit-level phenomena without large-scale synchronization between brain regions. We show, using human intracerebral recordings, that 100-400 Hz high-frequency oscillations (HFOs) may be synchronized between widely distributed brain regions. HFO synchronization expresses individual frequency peaks and exhibits reliable connectivity patterns that show stable community structuring. HFO synchronization is also characterized by a laminar profile opposite to that of lower frequencies. Importantly, HFO synchronization is both transiently enhanced and suppressed in separate frequency bands during a response-inhibition task. These findings show that HFO synchronization constitutes a functionally significant form of neuronal spike-timing relationships in brain activity and thus a mesoscopic indication of neuronal communication per se.


Assuntos
Encéfalo/patologia , Córtex Cerebral/fisiologia , Sincronização Cortical/fisiologia , Adulto , Mapeamento Encefálico , Estimulação Elétrica , Eletroencefalografia , Humanos , Masculino , Neurônios/fisiologia , Adulto Jovem
2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2019: 6557-6560, 2019 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-31947344

RESUMO

Brain Tissue Segmentation (BTS) in young children and neonates is not a trivial task due to peculiar characteristics of the developing brain. The aim of this study is to present the preliminary results of new atlas-free BTS (afBTS) algorithm of MR images for pediatric applications, based on clustering. The algorithm works on axial T1, T2 and FLAIR sequences. First, the Cerebrospinal Fluid (CSF) is identified using the Region Growing algorithm. The remaining voxels are processed with the k-means algorithm in order to separate White Matter (WM) and Grey Matter (GM). The afBTS algorithm was applied to a population of 13 neonates; the segmentations were evaluated by two expert pediatric neuroradiologists and compared with an atlas-based algorithm. The results were promising: afBTS allowed reconstruction of WM and CSF with an image quality comparable to the reference of standard while lower segmentation quality was obtained for the GM segmentation.


Assuntos
Processamento de Imagem Assistida por Computador , Imageamento por Ressonância Magnética , Algoritmos , Encéfalo , Criança , Pré-Escolar , Análise por Conglomerados , Humanos , Recém-Nascido
3.
AJNR Am J Neuroradiol ; 38(3): 639-647, 2017 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-28104634

RESUMO

BACKGROUND AND PURPOSE: Segmental callosal agenesis is characterized by the absence of the intermediate callosal portion. We aimed to evaluate the structural connectivity of segmental callosal agenesis by using constrained spherical deconvolution tractography and connectome analysis. MATERIALS AND METHODS: We reviewed the clinical-radiologic features of 8 patients (5 males; mean age, 3.9 years). Spherical deconvolution and probabilistic tractography were performed on diffusion data. Structural connectivity analysis, including summary network metrics, modularity analysis, and network consistency measures, was applied in 5 patients and 10 age-/sex-matched controls. RESULTS: We identified 3 subtypes based on the position of the hippocampal commissure: beneath the anterior callosal remnant in 3 patients (type I), beneath the posterior callosal remnant in 3 patients (type II), and between the anterior and posterior callosal remnants in 2 patients (type III). In all patients, the agenetic segment corresponded to fibers projecting to the parietal lobe, and segmental Probst bundles were found at that level. Ectopic callosal bundles were identified in 3 patients. Topology analysis revealed reduced global connectivity in patients compared with controls. The network topology of segmental callosal agenesis was more variable across patients than that of the control connectomes. Modularity analysis revealed disruption of the structural core organization in the patients. CONCLUSIONS: Three malformative subtypes of segmental callosal agenesis were identified. Even the absence of a small callosal segment may impact global brain connectivity and modularity organization. The presence of ectopic callosal bundles may explain the greater interindividual variation in the connectomes of patients with segmental callosal agenesis.


Assuntos
Agenesia do Corpo Caloso/patologia , Adolescente , Agenesia do Corpo Caloso/diagnóstico por imagem , Estudos de Casos e Controles , Criança , Pré-Escolar , Conectoma , Imagem de Tensor de Difusão , Feminino , Hipocampo/diagnóstico por imagem , Hipocampo/patologia , Humanos , Masculino , Vias Neurais/diagnóstico por imagem , Vias Neurais/patologia , Lobo Parietal/diagnóstico por imagem , Lobo Parietal/patologia , Estudos Retrospectivos
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