Abstract
Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ε-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task.
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Acknowledgements
We would like to thank Sharma Mini for her assistance in the fNIRS figure generation. Special thanks to Darkhovsky B.S. for valuable ideas and discussion.
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Dubnov Yu.A. (D.Y.A.), Itai Gutman (I.G), Dahan A. (D.A.), Gvirts H. (G.H.), Popkov A.Y. (P.A.Y.); D.Y.A.: Software, Investigation, Writing – Original Draft; D.A.: Data Curation, Validation, Writing – Original Draft , Writing – Review & Editing; G.H.: Data Curation, Formal analysis, Writing – Review & Editing; I.G. : Data Curation, Validation; P.A.Y.: Software, Visualization; Special thanks to Darkhovsky B.S. for valuable ideas and discussion.
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Appendix A
Appendix A
SVM and RF were applied for classification of the fNIRS recordings of participants from the Alone task, where the participant moved his hand with no research assistant
The classification achieved an SVM fivefold cross correlation accuracy of 64.9% (Table 3) and a RF accuracy of 65.2% (Table 4).
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Dahan, A., Dubnov, Y.A., Popkov, A.Y. et al. Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients. J Autism Dev Disord 51, 3380–3390 (2021). https://doi.org/10.1007/s10803-020-04793-w
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DOI: https://doi.org/10.1007/s10803-020-04793-w