Closed-loop stimulation modulates attention shifting in children

Spontaneous fluctuations in attention can impede adaptation to changing goals and environments. Endogenous control over attentional shifts, referred to as attentional flexibility, is prone to disruption in children with attention deficit disorders. Here we studied in vivo intracranial recordings in children with epilepsy to identify a reproducible neural signature of attentional control that could predict and prevent impending lapses in real time. Machine learning classifiers were trained on intracranial signals while each child performed an attentional set-shifting task and predicted delays in attention shifting over multiple days and across several pediatric populations. Intracranial electrical stimulation in response to impending delays rescued attention shifts indexed by eye tracking, reaction time and accuracy. Simultaneous electroencephalography identified corresponding scalp signatures that enabled noninvasive modulation of attention shifting in healthy participants. These findings provide insight into the neural basis of attentional shifts with implications for targeted neuromodulation and exogenous attentional control. Intracranial recordings in children revealed neural signals predicting attentional lapses. Closed-loop stimulation rescued performance and scalp EEG enabled noninvasive modulation, identifying a reproducible marker of attentional control.

Keywords:

attentional flexibility

intracranial recordings

machine learning classifiers

closed-loop stimulation

attentional lapses

Closed-loop stimulation modulates attention shifting in children

Abstract

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