## 6 Discussion
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Dataset** & **Data Type** & **Description** \\ \hline ABIDE II https://fcon\_1000.projects.nitrc.org/indi/abide/B\_II.html (accessed on 13 March 2025) & RRI & Released in 2016, ABIDE II aggregates 1114 MRI datasets from 19 sites, including 521 ASD and 593 controls, aged 5 to 64 year, with enhanced phenotypic data and some longitudinal samples. \\ \hline \multicolumn{3}{p{113.8 pt}}{**Eye-tracking Scanpaths Dataset**} \\ \multicolumn{3}{p{113.8 pt}}{[[https://figshare.com/articles/dataset/Eye-Tracking](https://figshare.com/articles/dataset/Eye-Tracking)]([https://figshare.com/articles/dataset/Eye-Tracking](https://figshare.com/articles/dataset/Eye-Tracking))\_Dataset\_to\_Support\_the\_Research\_on\_Autism\_Spectrum\_Disorder/20113592 (accessed on 13 March 2025)} & Scanpath Images & The dataset consists of 547 subjects, including 29 ASD and 30 TD participants, aged 2 to 12, obtaining a gender distribution of 38 male and 21 female participants. \\ \hline \multicolumn{3}{p{113.8 pt}}{P300 speller KAU [[https://malhaddad.kau.edu.sa/Pages-BCI-Datasets-En.aspx](https://malhaddad.kau.edu.sa/Pages-BCI-Datasets-En.aspx)]([https://malhaddad.kau.edu.sa/Pages-BCI-Datasets-En.aspx](https://malhaddad.kau.edu.sa/Pages-BCI-Datasets-En.aspx)) (accessed on 13 March 2025)} & EEG & Published in 2019, it comprises EEGs representing subjects with 15 ASD disorders and normal subjects. The disorder group includes eight boys aged 10 to 16, while the normal group consists of ten boys aged 9 to 16 without neurological disorders. \\ \hline \multicolumn{3}{p{113.8 pt}}{BCIAUT\_P30 [[https://www.kaggle.com/datasets/disbeat/pciaut-p300](https://www.kaggle.com/datasets/disbeat/pciaut-p300)]([https://www.kaggle.com/datasets/disbeat/pciaut-p300](https://www.kaggle.com/datasets/disbeat/pciaut-p300)) (accessed on 13 March 2025)} & EEG & Published in 2020, it comprises EEG recordings of P300-based Brain-Computer Interface for training individuals with ASD. It includes recordings from 15 ASD participants across seven sessions, totaling 105 sessions. \\ \hline \multicolumn{3}{p{113.8 pt}}{SFARI Autism Inpatient Collection [[https://www.sfari.org/resource/autism-brainnet/](https://www.sfari.org/resource/autism-brainnet/)]([https://www.sfari.org/resource/autism-brainnet/](https://www.sfari.org/resource/autism-brainnet/)) (accessed on 13 March 2025)} & ASD questionnaires and genetics & Initiated in 2013, it aims to gather phenotypic and genetic data from children diagnosed with ASD. It includes surveys on social communication, behaviors, and other domains from 527 individuals. \\ \hline \multicolumn{3}{p{113.8 pt}}{Autism WGS [[https://www.omicsdi.org/dataset/ega/EGAS00001000850](https://www.omicsdi.org/dataset/ega/EGAS00001000850)]([https://www.omicsdi.org/dataset/ega/EGAS00001000850](https://www.omicsdi.org/dataset/ega/EGAS00001000850)) (accessed on 13 March 2025)} & Genetics & Published in 2014, the Detection of Clinically Relevant Genetic Variants in Autism Spectrum Disorder by Whole-Genome Sequencing explores genetic variants in 32 ASD-affected families. \\ \hline \multicolumn{3}{p{113.8 pt}}{National Database for Autism Research (NDAR) [[https://catalog.data.gov/dataset/national-database-for-autism-research-ndar](https://catalog.data.gov/dataset/national-database-for-autism-research-ndar)]([https://catalog.data.gov/dataset/national-database-for-autism-research-ndar](https://catalog.data.gov/dataset/national-database-for-autism-research-ndar)) (accessed on 13 March 2025)} & RRI, Genetics & Last updated in 2023, the dataset is a scalable platform for sharing ASD-related data, supporting various data types, including biological, behavioral, genetic, and medical imaging data. \\ \hline \hline \end{tabular}
\end{table} 
Table 7: _Cont._well as the significant role of AI in improving diagnostic accuracy. Moreover, we have mentioned the datasets used for the early detection and classification of ASD and the limitations of such datasets (Table 7).