Evidence map›Paper›PMID 34539367›Full record

ArticleFrontiers in computational neuroscience2021

An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance.

Sou Nobukawa, Nobuhiko Wagatsuma, Haruhiko Nishimura, Hirotaka Doho, Tetsuya Takahashi

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sou NobukawaDepartment of Computer Science, Chiba Institute of Technology, Chiba, Japan.
Nobuhiko WagatsumaDepartment of Information Science, Faculty of Science, Toho University, Chiba, Japan.
Haruhiko NishimuraGraduate School of Applied Informatics, University of Hyogo, Kobe, Japan.
Hirotaka DohoGraduate School of Applied Informatics, University of Hyogo, Kobe, Japan.
Tetsuya TakahashiResearch Center for Child Mental Development, Kanazawa University, Kanazawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduced integrity of neural pathways from frontal to sensory cortices has been suggested as a potential neurobiological basis of attention-deficit hyperactivity disorder. Neurofeedback has been widely applied to enhance reduced neural pathways in attention-deficit hyperactivity disorder by repeated training on a daily temporal scale. Clinical and model-based studies have demonstrated that fluctuations in neural activity underpin sustained attention deficits in attention-deficit hyperactivity disorder. These aberrant neural fluctuations may be caused by the chaos-chaos intermittency state in frontal-sensory neural systems. Therefore, shifting the neural state from an aberrant chaos-chaos intermittency state to a normal stable state with an optimal external sensory stimulus, termed chaotic resonance, may be applied in neurofeedback for attention-deficit hyperactivity disorder. In this study, we applied a neurofeedback method based on chaotic resonance induced by "reduced region of orbit" feedback signals in the Baghdadi model for attention-deficit hyperactivity disorder. We evaluated the stabilizing effect of reduced region of orbit feedback and its robustness against noise from errors in estimation of neural activity. The effect of chaotic resonance successfully shifted the abnormal chaos-chaos intermittency of neural activity to the intended stable activity. Additionally, evaluation of the influence of noise due to measurement errors revealed that the efficiency of chaotic resonance induced by reduced region of orbit feedback signals was maintained over a range of certain noise strengths. In conclusion, applying chaotic resonance induced by reduced region of orbit feedback signals to neurofeedback methods may provide a promising treatment option for attention-deficit hyperactivity disorder.

Indexed as

attention-deficit hyperactivity disorderchaos-chaos intermittencyfeedback controlneural networkneurofeedback

Identifiers

PMID34539367
PMCPMC8442914

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.