An Early Detection of Autism Spectrum Disorder Using PDNN and ABIDE I&II Dataset
- Title
- An Early Detection of Autism Spectrum Disorder Using PDNN and ABIDE I&II Dataset
- Creator
- Lamani M.R.; Julian Benadit P.
- Description
- The current study's objective was to use deep learning methods to separate valetudinarians amidst autism spectrum disorders (ASDs) from controls employing just the patients brain activation patterns from a dataset of large brain images. We examined brain imaging data from ASD patients from the global, multi-site ABIDE dataset (Autism Brain Imaging Data Exchange). Social impairments and repetitive behaviors are hallmarks of the brain condition known as autism spectrum disorder (ASD). ASD affects one in every 68 kids in the USA, as of the most recent data from the Disease Control Centers. To understand the neurological patterns that arose from the categorization, we looked into functional connectivity patterns that can be used to diagnose ASD participants precisely. The outcomes raised the state of the art by correctly identifying 72.10% of ASD patients in the sample vs. control patients. The classification patterns revealed an anti-correlation between the function of the brain's anterior and posterior regions; this anti-correlation supports the empirical data currently showing achingly ASD impedes communication between the livid brain's anterior and posterior areas. We found and pinpointed brain regions damn frolic, distinguishing ASD among typically developing reign according to our deep learning model. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.
- Source
- Lecture Notes in Networks and Systems, Vol-844, pp. 295-310.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- ABIDE I; ABIDE II; ASD; DL; fMRI; ML; rsfMRI
- Coverage
- Lamani M.R., CHRIST (Deemed to be University), Kanmanike, Kumbalgudu, Mysor Road, Karnataka, Bangalore, 560074, India; Julian Benadit P., CHRIST (Deemed to be University), Kanmanike, Kumbalgudu, Mysor Road, Karnataka, Bangalore, 560074, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981998478-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Lamani M.R.; Julian Benadit P., “An Early Detection of Autism Spectrum Disorder Using PDNN and ABIDE I&II Dataset,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19552.