Brain-computer Interface Game Applications for Combined Neurofeedback and Biofeedback Treatment for Children on the Autism Spectrum

Overview

Journal Front Neuroeng

Specialty Neurology

Date 2014 Jul 30

PMID 25071545

Citations 25

Authors

Elisabeth V C Friedrich

Neil Suttie

Aparajithan Sivanathan

Theodore Lim

Sandy Louchart

Jaime A Pineda

Affiliations

Soon will be listed here.

Abstract

Individuals with autism spectrum disorder (ASD) show deficits in social and communicative skills, including imitation, empathy, and shared attention, as well as restricted interests and repetitive patterns of behaviors. Evidence for and against the idea that dysfunctions in the mirror neuron system are involved in imitation and could be one underlying cause for ASD is discussed in this review. Neurofeedback interventions have reduced symptoms in children with ASD by self-regulation of brain rhythms. However, cortical deficiencies are not the only cause of these symptoms. Peripheral physiological activity, such as the heart rate and its variability, is closely linked to neurophysiological signals and associated with social engagement. Therefore, a combined approach targeting the interplay between brain, body, and behavior could be more effective. Brain-computer interface applications for combined neurofeedback and biofeedback treatment for children with ASD are currently nonexistent. To facilitate their use, we have designed an innovative game that includes social interactions and provides neural- and body-based feedback that corresponds directly to the underlying significance of the trained signals as well as to the behavior that is reinforced.

Citing Articles

Case report: Novel use of clinical brain-computer interfaces in recreation programming for an autistic adolescent with co-occurring attention deficit hyperactivity disorder.

Van Damme S, Mumford L, Johnson A, Chau T Front Hum Neurosci. 2024; 18:1434792.

PMID: 39296916 PMC: 11408342. DOI: 10.3389/fnhum.2024.1434792.

A Randomized Trial Utilizing EEG Brain Computer Interface to Improve Facial Emotion Recognition in Autistic Adults.

Brewe A, Antezana L, Carlton C, Gracanin D, Richey J, Kim I J Autism Dev Disord. 2024; .

PMID: 38941048 DOI: 10.1007/s10803-024-06436-w.

EEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network.

Tan J, Zhan Y, Tang Y, Bao W, Tian Y Cogn Neurodyn. 2024; 18(3):947-960.

PMID: 38826651 PMC: 11143091. DOI: 10.1007/s11571-023-09947-x.

Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentials.

Zuckerman I, Laufer I, Mizrahi D Front Hum Neurosci. 2023; 17:1249978.

PMID: 37727864 PMC: 10505959. DOI: 10.3389/fnhum.2023.1249978.

Intracranial Neurofeedback Modulating Neural Activity in the Mesial Temporal Lobe During Memory Encoding: A Pilot Study.

Koizumi K, Kunii N, Ueda K, Takabatake K, Nagata K, Fujitani S Appl Psychophysiol Biofeedback. 2023; 48(4):439-451.

PMID: 37405548 PMC: 10581957. DOI: 10.1007/s10484-023-09595-1.

References

Enticott P, Kennedy H, Rinehart N, Bradshaw J, Tonge B, Daskalakis Z . Interpersonal motor resonance in autism spectrum disorder: evidence against a global "mirror system" deficit. Front Hum Neurosci. 2013; 7:218. PMC: 3661943. DOI: 10.3389/fnhum.2013.00218. View

Aylett R, Louchart S, Dias J, Paiva A, Vala M, Woods S . Unscripted narrative for affectively driven characters. IEEE Comput Graph Appl. 2006; 26(3):42-52. DOI: 10.1109/mcg.2006.71. View

Porges S . The polyvagal perspective. Biol Psychol. 2006; 74(2):116-43. PMC: 1868418. DOI: 10.1016/j.biopsycho.2006.06.009. View

Quintana D, Guastella A, Outhred T, Hickie I, Kemp A . Heart rate variability is associated with emotion recognition: direct evidence for a relationship between the autonomic nervous system and social cognition. Int J Psychophysiol. 2012; 86(2):168-72. DOI: 10.1016/j.ijpsycho.2012.08.012. View

Dapretto M, Davies M, Pfeifer J, Scott A, Sigman M, Bookheimer S . Understanding emotions in others: mirror neuron dysfunction in children with autism spectrum disorders. Nat Neurosci. 2005; 9(1):28-30. PMC: 3713227. DOI: 10.1038/nn1611. View

Pineda J . The functional significance of mu rhythms: translating "seeing" and "hearing" into "doing". Brain Res Brain Res Rev. 2005; 50(1):57-68. DOI: 10.1016/j.brainresrev.2005.04.005. View

Arnstein D, Cui F, Keysers C, Maurits N, Gazzola V . μ-suppression during action observation and execution correlates with BOLD in dorsal premotor, inferior parietal, and SI cortices. J Neurosci. 2011; 31(40):14243-9. PMC: 6623646. DOI: 10.1523/JNEUROSCI.0963-11.2011. View

di Pellegrino G, Fadiga L, Fogassi L, Gallese V, Rizzolatti G . Understanding motor events: a neurophysiological study. Exp Brain Res. 1992; 91(1):176-80. DOI: 10.1007/BF00230027. View

Keuken M, Hardie A, Dorn B, Dev S, Paulus M, Jonas K . The role of the left inferior frontal gyrus in social perception: an rTMS study. Brain Res. 2011; 1383:196-205. DOI: 10.1016/j.brainres.2011.01.073. View

10.

Sheikhani A, Behnam H, Mohammadi M, Noroozian M, Mohammadi M . Detection of abnormalities for diagnosing of children with autism disorders using of quantitative electroencephalography analysis. J Med Syst. 2010; 36(2):957-63. DOI: 10.1007/s10916-010-9560-6. View

11.

Porges S . The Polyvagal Theory: phylogenetic contributions to social behavior. Physiol Behav. 2003; 79(3):503-13. DOI: 10.1016/s0031-9384(03)00156-2. View

12.

Pfurtscheller G, Neuper C, Andrew C, Edlinger G . Foot and hand area mu rhythms. Int J Psychophysiol. 1997; 26(1-3):121-35. DOI: 10.1016/s0167-8760(97)00760-5. View

13.

Duffy F, Als H . A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls - a large case control study. BMC Med. 2012; 10:64. PMC: 3391175. DOI: 10.1186/1741-7015-10-64. View

14.

Nishitani N, Avikainen S, Hari R . Abnormal imitation-related cortical activation sequences in Asperger's syndrome. Ann Neurol. 2004; 55(4):558-62. DOI: 10.1002/ana.20031. View

15.

Pineda J, Allison B, Vankov A . The effects of self-movement, observation, and imagination on mu rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI). IEEE Trans Rehabil Eng. 2000; 8(2):219-22. DOI: 10.1109/86.847822. View

16.

Pineda J, Juavinett A, Datko M . Self-regulation of brain oscillations as a treatment for aberrant brain connections in children with autism. Med Hypotheses. 2012; 79(6):790-8. DOI: 10.1016/j.mehy.2012.08.031. View

17.

. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996; 17(3):354-81. View

18.

Anderson J, Nielsen J, Froehlich A, DuBray M, Druzgal T, Cariello A . Functional connectivity magnetic resonance imaging classification of autism. Brain. 2011; 134(Pt 12):3742-54. PMC: 3235557. DOI: 10.1093/brain/awr263. View

19.

Thompson L, Thompson M, Reid A . Functional neuroanatomy and the rationale for using EEG biofeedback for clients with Asperger's syndrome. Appl Psychophysiol Biofeedback. 2009; 35(1):39-61. DOI: 10.1007/s10484-009-9095-0. View

20.

Aragon O, Sharer E, Bargh J, Pineda J . Modulations of mirroring activity by desire for social connection and relevance of movement. Soc Cogn Affect Neurosci. 2013; 9(11):1762-9. PMC: 4221217. DOI: 10.1093/scan/nst172. View