Poincaré Section based Biomarkers of Hemispheric Asymmetry, applied to Autism Spectrum Disorder
Open accessAbstract
Asymmetry and symmetry coexist in natural and human processes and the interaction of asymmetric action (recursion) and symmetric opposition (sinusoidal waves) are instrumental in generating creative features. Autism Spectrum Disorder (ASD) is a disorder in which asymmetry and functionality of brain hemispheres are affected. In this study, difference in brain asymmetry in ASD and normal children and the effect of voice on asymmetry are being investigated. Because of Abnormal cortical voice processing in ASD data recording is done in two situations: animation with audio (V–A) for 5 minutes, and watching the animation with muted audio band (VwA). Two Indexes Divergence (D) and number of poincaré section points further from threshold (HD) as new biomarkers are being extracted. Hemispheric asymmetry in ASD children does not follow norm patterns and in all statistical tests H and HD indexes confirm a disorder in hemisphere’s functionality which can be globally unveiled with poincaré section and extracted information. Two remarkable features of presented method are: data recording protocol specialized for ASD children and new practical time series analysis for detecting episodic patterns (complexes) as hallmark of ASD dynamic and arrangement as an empirical measure of nonrandom complexity. Presented method could detect this complexes.
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ASD group differences in left and right hemispheres are reported.
“Some striking findings report ASD group differences in left and right hemispheres (Edgar et al. 2013; Sadeghi Bajestani et al. 2017).”
From Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing (2023) · cites this paper as Sadeghi Bajestani et al. 2017
Cites
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459 · cited 2× · see citing works
“system's dynamics is to determine the present sample from the former, and time series follows a di erential equation or a recursive transformation [28,29].”
BackgroundRevisiting mu suppression in autism spectrum disorder
Dumas, G., Soussignan, R., Hugueville, L., Martinerie, J., & Nadel, J. (2014) · Brain Research · doi:10.1016/j.brainres.2014.08.035 · Cited by 120 · see citing works
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Gonçalves, A. M., & Monteiro, P. (2023) · Journal of Neural Transmission · doi:10.1007/s00702-023-02595-9 · Cited by 88 · see citing works
- Authors
- Sadeghi Bajestani, G., Sheikhani, A., Hashemi Golpayegani, M. R., Ashrafzadeh, F., & Hebrani, P.
- Affiliations
- Islamic Azad University, Tehran (IR)
- Mashhad University of Medical Sciences (IR)
- Venue
- Scientia Iranica
- Publisher
- SciTech Solutions
- Published
- 2017-08-30
- Volume
- 0
- Issue
- 0
- Pages
- 0-0
- ISSN
- 1026-3098 (ISSN-L)
- 2345-3605
- OpenAlex
- W2762243939
- Cited by
- 2
- References
- 2
- Citations by year
- 2023: 1 · 2021: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Scientia Iranica (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- autism spectrum disorder, hemispheric lateralization, Poincaré sections, biomarkers, voice processing, divergence index, time series analysis, brain asymmetry, children
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