Literature DB >> 23664952

Neurovascular coupling in normal aging: a combined optical, ERP and fMRI study.

Monica Fabiani1, Brian A Gordon, Edward L Maclin, Melanie A Pearson, Carrie R Brumback-Peltz, Kathy A Low, Edward McAuley, Bradley P Sutton, Arthur F Kramer, Gabriele Gratton.   

Abstract

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.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Event-related brain potentials (ERPs); Event-related optical signal (EROS); Fitness; Functional magnetic resonance imaging (fMRI); Near-infrared spectroscopy (NIRS); Neurovascular coupling

Mesh:

Substances:

Year:  2013        PMID: 23664952      PMCID: PMC3791333          DOI: 10.1016/j.neuroimage.2013.04.113

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


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