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1.
Neuroimage ; 85 Pt 1: 592-607, 2014 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-23664952

RESUMO

Brain aging is characterized by changes in both hemodynamic and neuronal responses, which may be influenced by the cardiorespiratory fitness of the individual. To investigate the relationship between neuronal and hemodynamic changes, we studied the brain activity elicited by visual stimulation (checkerboard reversals at different frequencies) in younger adults and in older adults varying in physical fitness. Four functional brain measures were used to compare neuronal and hemodynamic responses obtained from BA17: two reflecting neuronal activity (the event-related optical signal, EROS, and the C1 response of the ERP), and two reflecting functional hemodynamic changes (functional magnetic resonance imaging, fMRI, and near-infrared spectroscopy, NIRS). The results indicated that both younger and older adults exhibited a quadratic relationship between neuronal and hemodynamic effects, with reduced increases of the hemodynamic response at high levels of neuronal activity. Although older adults showed reduced activation, similar neurovascular coupling functions were observed in the two age groups when fMRI and deoxy-hemoglobin measures were used. However, the coupling between oxy- and deoxy-hemoglobin changes decreased with age and increased with increasing fitness. These data indicate that departures from linearity in neurovascular coupling may be present when using hemodynamic measures to study neuronal function.


Assuntos
Envelhecimento/fisiologia , Vasos Sanguíneos/inervação , Vasos Sanguíneos/fisiologia , Eletroencefalografia/métodos , Potenciais Evocados/fisiologia , Imageamento por Ressonância Magnética/métodos , Tomografia Óptica/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , Circulação Cerebrovascular/fisiologia , Escolaridade , Feminino , Hemoglobinas/análise , Hemoglobinas/metabolismo , Humanos , Processamento de Imagem Assistida por Computador , Masculino , Consumo de Oxigênio/fisiologia , Estimulação Luminosa , Desempenho Psicomotor/fisiologia , Adulto Jovem
2.
J Cogn Neurosci ; 22(4): 655-69, 2010 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-19320550

RESUMO

Neuroimaging data emphasize that older adults often show greater extent of brain activation than younger adults for similar objective levels of difficulty. A possible interpretation of this finding is that older adults need to recruit neuronal resources at lower loads than younger adults, leaving no resources for higher loads, and thus leading to performance decrements [Compensation-Related Utilization of Neural Circuits Hypothesis; e.g., Reuter-Lorenz, P. A., & Cappell, K. A. Neurocognitive aging and the compensation hypothesis. Current Directions in Psychological Science, 17, 177-182, 2008]. The Compensation-Related Utilization of Neural Circuits Hypothesis leads to the prediction that activation differences between younger and older adults should disappear when task difficulty is made subjectively comparable. In a Sternberg memory search task, this can be achieved by assessing brain activity as a function of load relative to the individual's memory span, which declines with age. Specifically, we hypothesized a nonlinear relationship between load and both performance and brain activity and predicted that asymptotes in the brain activation function should correlate with performance asymptotes (corresponding to working memory span). The results suggest that age differences in brain activation can be largely attributed to individual variations in working memory span. Interestingly, the brain activation data show a sigmoid relationship with load. Results are discussed in terms of Cowan's [Cowan, N. The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87-114, 2001] model of working memory and theories of impaired inhibitory processes in aging.


Assuntos
Envelhecimento/fisiologia , Mapeamento Encefálico , Encéfalo/fisiologia , Memória de Curto Prazo/fisiologia , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Análise de Variância , Encéfalo/irrigação sanguínea , Feminino , Lateralidade Funcional , Humanos , Processamento de Imagem Assistida por Computador/métodos , Imageamento por Ressonância Magnética/métodos , Masculino , Modelos Neurológicos , Testes Neuropsicológicos , Oxigênio/sangue , Estimulação Luminosa , Tempo de Reação/fisiologia , Adulto Jovem
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