Literature DB >> 34021043

Closed-Loop Neurofeedback of α Synchrony during Goal-Directed Attention.

Jyoti Mishra1,2, Mira Lowenstein3,4, Richard Campusano3,4, Yihan Hu2, Juan Diaz-Delgado2, Jacqueline Ayyoub3,4, Rajat Jain3,4, Adam Gazzaley3,4,5,6,7.   

Abstract

α Oscillations in sensory cortex, under frontal control, desynchronize during attentive preparation. Here, in a selective attention study with simultaneous EEG in humans of either sex, we first demonstrate that diminished anticipatory α synchrony between the mid-frontal region of the dorsal attention network and ventral visual sensory cortex [frontal-sensory synchrony (FSS)] significantly correlates with greater task performance. Then, in a double-blind, randomized controlled study in healthy adults, we implement closed-loop neurofeedback (NF) of the anticipatory α FSS signal over 10 d of training. We refer to this closed-loop experimental approach of rapid NF integrated within a cognitive task as cognitive NF (cNF). We show that cNF results in significant trial-by-trial modulation of the anticipatory α FSS measure during training, concomitant plasticity of stimulus-evoked α/θ responses, as well as transfer of benefits to response time (RT) improvements on a standard test of sustained attention. In a third study, we implement cNF training in children with attention deficit hyperactivity disorder (ADHD), replicating trial-by-trial modulation of the anticipatory α FSS signal as well as significant improvement of sustained attention RTs. These first findings demonstrate the basic mechanisms and translational utility of rapid cognitive-task-integrated NF.SIGNIFICANCE STATEMENT When humans prepare to attend to incoming sensory information, neural oscillations in the α band (8-14 Hz) undergo desynchronization under the control of prefrontal cortex. Here, in an attention study with electroencephalography, we first show that frontal-sensory synchrony (FSS) of α oscillations during attentive preparation significantly correlates with task performance. Then, in a randomized controlled study in healthy adults, we show that neurofeedback (NF) training of this α FSS signal within the attention task is feasible. We show that this rapid cognitive NF (cNF) approach engenders plasticity of stimulus-evoked neural responses, and improves performance on a standard test of sustained attention. In a final study, we implement cNF in children with attention deficit hyperactivity disorder (ADHD), replicating the improvement of sustained attention found in adults.
Copyright © 2021 the authors.

Entities:  

Keywords:  attention deficit hyperactivity disorder; brain computer interface; cognitive neurofeedback; dorsal attention network; neuroplasticity; synchrony

Mesh:

Year:  2021        PMID: 34021043      PMCID: PMC8244977          DOI: 10.1523/JNEUROSCI.3235-20.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  71 in total

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8.  Anticipatory alpha phase influences visual working memory performance.

Authors:  Theodore P Zanto; James Z Chadick; Adam Gazzaley
Journal:  Neuroimage       Date:  2013-07-25       Impact factor: 6.556

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10.  Top-Down Control of Visual Alpha Oscillations: Sources of Control Signals and Their Mechanisms of Action.

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