Slow fluctuations in ongoing brain activity decrease in amplitude with ageing yet their impact on task-related evoked responses is dissociable from behaviour

Abstract

In humans, ageing is characterized by decreased brain signal variability and increased behavioural variability. To understand how reduced brain variability segregates with increased behavioural variability, we investigated the association between reaction time variability, evoked brain responses and ongoing brain signal dynamics, in young (N = 36) and older adults (N = 39). We studied the electroencephalogram (EEG) and pupil size fluctuations to characterize the cortical and arousal responses elicited by a cued go/no-go task. Evoked responses were strongly modulated by slow (< 2 Hz) fluctuations of the ongoing signals, which presented reduced power in the older participants. Although variability of the evoked responses was lower in the older participants, once we adjusted for the effect of the ongoing signal fluctuations, evoked responses were equally variable in both groups. Moreover, the modulation of the evoked responses caused by the ongoing signal fluctuations had no impact on reaction time, thereby explaining why although ongoing brain signal variability is decreased in older individuals, behavioural variability is not. Finally, we showed that adjusting for the effect of the ongoing signal was critical to unmask the link between neural responses and behaviour.

Prestimulus neural variability affects behavioral performances mediated by poststimulus-evoked responses at the intraindividual and interindividual levels

“…Research has recently revealed that the neural variabilities in the brain, previously considered meaningless noise or measurement error [8,9], reflect these behavioral variabilities. Neural variability is believed to contain valuable information about brain dynamics, which is not only related to low-and high-level cognition in health and clinical participants [8] but also underlies the plasticity and adaptability of human behavior [9,10] . Brain neural variability can take many forms.…”