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Fusion: Practice and Applications
Volume 14 , Issue 2, PP: 89-96 , 2024 | Cite this article as | XML | Html |PDF

Title

Fusion of Brain Imaging Data with Artificial Intelligence to detect Autism Spectrum Disorder

  Monalin Pal 1 * ,   Rubini P. 2

1  CMR University (CMRU), Bangalore, India
    (monalin.19cphd@cmr.edu.in)

2  CMR University (CMRU), Bangalore, India
    (rubini.p@cmr.edu.in)


Doi   :   https://doi.org/10.54216/FPA.140207

Received: August 29, 2023 Revised: November 17, 2023 Accepted: January 17, 2024

Abstract :

Autism, a developmental and neurological disorder, impacts communication, interaction, and behavior, setting individuals with it apart from those without. This spectrum disorder affects various aspects of an individual's life, including social, cognitive, emotional, and physical health. Early detection and intervention are crucial for symptom reduction and facilitating learning and development. Recent advancements in machine learning and deep learning have facilitated the diagnosis of Autism by analyzing brain signals. This current study introduces an approach for Autism detection utilizing functional Magnetic Resonance Imaging (fMRI) data. The Autism Brain Imaging Data Exchange (ABIDE) dataset serves as the foundation, employing hierarchical graph pooling to abstract brain images into a graph structure. Graph Convolutional Networks are then used to learn node embeddings derived from sparse feature vectors. The model attains an accuracy of 87% on the 10-fold cross-validation dataset. This study proves to be cost-effective and efficient in identifying Autism through fMRI, making it suitable for near real-time applications.

Keywords :

Deep Learning; Machine Learning; Autism Spectrum Disorder; Speech Recognition; Fusion Processing; Information Fusion; Neural networks; Convolutional Neural Network; functional Magnetic Resonance Imaging (fMRI); Autism Brain Imaging Data Exchange (ABIDE)

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Cite this Article as :
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MLA Monalin Pal, Rubini P.. "Fusion of Brain Imaging Data with Artificial Intelligence to detect Autism Spectrum Disorder." Fusion: Practice and Applications, Vol. 14, No. 2, 2024 ,PP. 89-96 (Doi   :  https://doi.org/10.54216/FPA.140207)
APA Monalin Pal, Rubini P.. (2024). Fusion of Brain Imaging Data with Artificial Intelligence to detect Autism Spectrum Disorder. Journal of Fusion: Practice and Applications, 14 ( 2 ), 89-96 (Doi   :  https://doi.org/10.54216/FPA.140207)
Chicago Monalin Pal, Rubini P.. "Fusion of Brain Imaging Data with Artificial Intelligence to detect Autism Spectrum Disorder." Journal of Fusion: Practice and Applications, 14 no. 2 (2024): 89-96 (Doi   :  https://doi.org/10.54216/FPA.140207)
Harvard Monalin Pal, Rubini P.. (2024). Fusion of Brain Imaging Data with Artificial Intelligence to detect Autism Spectrum Disorder. Journal of Fusion: Practice and Applications, 14 ( 2 ), 89-96 (Doi   :  https://doi.org/10.54216/FPA.140207)
Vancouver Monalin Pal, Rubini P.. Fusion of Brain Imaging Data with Artificial Intelligence to detect Autism Spectrum Disorder. Journal of Fusion: Practice and Applications, (2024); 14 ( 2 ): 89-96 (Doi   :  https://doi.org/10.54216/FPA.140207)
IEEE Monalin Pal, Rubini P., Fusion of Brain Imaging Data with Artificial Intelligence to detect Autism Spectrum Disorder, Journal of Fusion: Practice and Applications, Vol. 14 , No. 2 , (2024) : 89-96 (Doi   :  https://doi.org/10.54216/FPA.140207)