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@article{179537,
        author = {Aakash Bolla and Ujjawal Mishra and Keerthikrishna Jog and Ayush Chintalwar and Dr. Sunita Parinam},
        title = {ADHD Rehabilitation Through Real-Time EEG- Based Neurofeedback and AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7260-7266},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179537},
        abstract = {This paper gives a detailed review of the applications of Brain-Computer Interface (BCI) using the Slow Corti-cal Potentials (SCPs) approach in addressing Attention Deficit Hyperactivity Disorder (ADHD) [1,2]. Leverag-ing BCI and SCP neurofeedback via EEG monitoring, these systems enable individuals to self-regulate brain activity to improve attention and reduce impulsivity [1,2]. The survey explores key methodologies, challeng-es, and advancements in BCI-based rehabilitation for ADHD [3]. Emphasis is placed on real-time feedback mechanisms, machine learning analytics, and integra-tive approaches [4]. This study also identifies gaps in existing literature and proposes strategies to overcome them, ensuring that these systems reach their full po-tential in both clinical and real-world settings [5].},
        keywords = {},
        month = {May},
        }