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1.
Neuroimage ; 59(2): 1420-8, 2012 Jan 16.
Artigo em Inglês | MEDLINE | ID: mdl-21889994

RESUMO

Anticorrelated relationships in spontaneous signal fluctuation have been previously observed in resting-state functional magnetic resonance imaging (fMRI). In particular, it was proposed that there exists two systems in the brain that are intrinsically organized into anticorrelated networks, the default mode network, which usually exhibits task-related deactivations, and the task-positive network, which usually exhibits task-related activations during tasks that demands external attention. However, it is currently under debate whether the anticorrelations observed in resting state fMRI were valid or were instead artificially introduced by global signal regression, a common preprocessing technique to remove physiological and other noise in resting-state fMRI signal. We examined positive and negative correlations in resting-state connectivity using two different preprocessing methods: a component base noise reduction method (CompCor, Behzadi et al., 2007), in which principal components from noise regions-of-interest were removed, and the global signal regression method. Robust anticorrelations between a default mode network seed region in the medial prefrontal cortex and regions of the task-positive network were observed under both methods. Specificity of the anticorrelations was similar between the two methods. Specificity and sensitivity for positive correlations were higher under CompCor compared to the global regression method. Our results suggest that anticorrelations observed in resting-state connectivity are not an artifact introduced by global signal regression and might have biological origins, and that the CompCor method can be used to examine valid anticorrelations during rest.


Assuntos
Algoritmos , Encéfalo/fisiologia , Interpretação de Imagem Assistida por Computador/métodos , Rede Nervosa/fisiologia , Reconhecimento Automatizado de Padrão/métodos , Descanso/fisiologia , Adulto , Simulação por Computador , Interpretação Estatística de Dados , Feminino , Humanos , Aumento da Imagem/métodos , Masculino , Modelos Neurológicos , Modelos Estatísticos , Análise de Regressão , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Estatística como Assunto
2.
Neurobiol Aging ; 104: 92-101, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-33984626

RESUMO

Enriching early life experiences (e.g., sport, art, music, volunteering, language learning) during a critical period of brain development may promote structural and functional brain changes that are still present decades later (>60 years). We assessed whether a greater variety of enriching early life activities (EELA) before age 13 years were associated with individual differences in cortical and subcortical (hippocampus and amygdala) structure and function later in life (older adults aged 60-80 years). Results indicated no association between EELA and amygdala and hippocampus volumes, but higher functional connectivity between the amygdala and the insula was associated with more variety of EELA. EELA was not associated with cortical thickness controlling for sex, but sex-specific associations with the right pars opercularis were found. EELA was further associated with variations in functional connectivity patterns of the orbitofrontal cortex, driven by connecitivty to regions within the visual, somatosensory and limbic networks. Early life enriching activities appear to contribute to potential mechanisms of cognitive reserve (functional processes) more so than brain reserve (structure) later in life.


Assuntos
Envelhecimento/fisiologia , Envelhecimento/psicologia , Encéfalo/crescimento & desenvolvimento , Encéfalo/fisiologia , Reserva Cognitiva/fisiologia , Função Executiva/fisiologia , Acontecimentos que Mudam a Vida , Fatores Etários , Idoso , Tonsila do Cerebelo/fisiologia , Feminino , Humanos , Córtex Insular/fisiologia , Masculino , Pessoa de Meia-Idade , Córtex Pré-Frontal/fisiologia
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