{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T02:25:32Z","timestamp":1787192732458,"version":"build-2736575974"},"reference-count":43,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T00:00:00Z","timestamp":1782604800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T00:00:00Z","timestamp":1782604800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J of Devlp Neuroscience"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by social communication deficits and repetitive behaviours. Diagnosing ASD early is difficult for healthcare professionals due to its diverse and intricate presentation. However, early detection is vital for enhancing outcomes and enabling the children to access targeted therapies that support the development of social and communication skills. Moreover, Classical models were time\u2010consuming and resource\u2010intensive, and they required lengthy assessments and specialized training. To bridge these complications, this research proposes a Sales Training\u2010Based Optimization enabled Deep High\u2010Order Principal Component Network (STBO_DHPCNet) for ASD classification using resting\u2010state fMRI (rs\u2010fMRI) brain images from 1114 subjects in the ABIDE dataset. First, gamma correction is applied to enhance the quality of the autism brain image. Next, the Region of Interest (ROI) extraction is performed. Afterwards, the nub region extraction is performed based on Sales Training Based Optimization (STBO). On the other hand, feature extraction is done based on an enhanced brain image. Finally, the classification of ASD is done by using DHPCNet, and it is trained using STBO. Here, DHPCNet is developed by incorporating the Deep High\u2010Order Attention Neural Network (DHA\u2010Net) and Principal Component Analysis Network (PCA\u2010Net). Moreover, the evaluation results show that the DHPCNet gained an increased range of accuracy, sensitivity and specificity as 95.62%, 94.79%, and 95.86%.<\/jats:p>","DOI":"10.1002\/jdn.70145","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T05:57:33Z","timestamp":1782712653000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Sales\u2010Training\u2010Inspired Optimization for Deep High\u2010Order Principal Network in Autism Spectrum Disorder Classification"],"prefix":"10.1002","volume":"86","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2287-4022","authenticated-orcid":false,"given":"T.","family":"Venkatakrishnamoorthy","sequence":"first","affiliation":[{"name":"Department of Electronics and Communication Engineering Sasi Institute of Technology &amp; Engineering  Tadepalligudem Andhra Pradesh India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anuradha","family":"Chinta","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering Siddhartha Academy of Higher Education, Deemed to be University  Kanuru, Vijayawada India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Sujatha","sequence":"additional","affiliation":[{"name":"Department of CSE Miracle Educational Society Group of Institutions  Vizianagaram India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anupama","family":"Angadi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering GITAM School of Technology, GITAM  Visakhapatnam Andhra Pradesh India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,28]]},"reference":[{"key":"e_1_2_11_2_1","unstructured":"ABIDE dataset [Online]. 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