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1.
Neuroinformatics ; 21(2): 247-265, 2023 04.
Artigo em Inglês | MEDLINE | ID: mdl-36378467

RESUMO

Functional ultrasound (fUS) indirectly measures brain activity by detecting changes in cerebral blood volume following neural activation. Conventional approaches model such functional neuroimaging data as the convolution between an impulse response, known as the hemodynamic response function (HRF), and a binarized representation of the input signal based on the stimulus onsets, the so-called experimental paradigm (EP). However, the EP may not characterize the whole complexity of the activity-inducing signals that evoke the hemodynamic changes. Furthermore, the HRF is known to vary across brain areas and stimuli. To achieve an adaptable framework that can capture such dynamics of the brain function, we model the multivariate fUS time-series as convolutive mixtures and apply block-term decomposition on a set of lagged fUS autocorrelation matrices, revealing both the region-specific HRFs and the source signals that induce the hemodynamic responses. We test our approach on two mouse-based fUS experiments. In the first experiment, we present a single type of visual stimulus to the mouse, and deconvolve the fUS signal measured within the mouse brain's lateral geniculate nucleus, superior colliculus and visual cortex. We show that the proposed method is able to recover back the time instants at which the stimulus was displayed, and we validate the estimated region-specific HRFs based on prior studies. In the second experiment, we alter the location of the visual stimulus displayed to the mouse, and aim at differentiating the various stimulus locations over time by identifying them as separate sources.


Assuntos
Córtex Visual , Vias Visuais , Camundongos , Animais , Vias Visuais/diagnóstico por imagem , Vias Visuais/fisiologia , Imageamento por Ressonância Magnética/métodos , Encéfalo/diagnóstico por imagem , Encéfalo/fisiologia , Hemodinâmica/fisiologia , Córtex Visual/diagnóstico por imagem , Córtex Visual/fisiologia , Mapeamento Encefálico/métodos
2.
Acta Biomed ; 91(3): e2020044, 2020 09 07.
Artigo em Inglês | MEDLINE | ID: mdl-32921737

RESUMO

Coronavirus disease 2019 (COVID-19) pandemic is a global challenge. Several governments of the world have decided to take drastic actions in order to combat the spread of the disease, including the closing of air, maritime and land borders, as an extreme measure of isolation of each country/region. However, such measures had not prevented the disease from spreading globally; as COVID-19 has already spread in almost all countries. This virus's main victims are the healthcare personnel (HCP), who are physically and psychologically affected. The HCP serves as the first line of defense against this pandemic, what if we faced a significant loss in their number? And what if our HCP was going through a deep dark depression? The condition would be terrifying not only for now but also in the future. This raises the need for an intensified International collaboration, that mainly supports the HCP. We are throwing by challenging moments, and it is clear that social distancing, cooperation, hygiene awareness and abide by the recommendation and help of all governments, as well as obtaining the support of international organizations could be an excellent tool for preventing an increase in the number of cases, principally in countries and regions were COVID-19 is in the early stage of the epidemic. However, this is not the final solution for the current pandemic. An intensified global program, which mainly supports the HCP, then considers the other aspects of the COVID19 pandemic might bring this pandemic to a peaceful end.


Assuntos
Betacoronavirus , Infecções por Coronavirus/epidemiologia , Transmissão de Doença Infecciosa/prevenção & controle , Pessoal de Saúde/organização & administração , Pandemias/prevenção & controle , Pneumonia Viral/epidemiologia , COVID-19 , Humanos , SARS-CoV-2
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