©The Author(s) 2026.
World J Psychiatry. Feb 19, 2026; 16(2): 114358
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.114358
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.114358
Table 2 Emerging innovations in neurofeedback therapy and their clinical applications
| Innovation domain | Key technological advance | Clinical application | Evidence strength |
| Hybrid neuromodulation | rTMS priming + NFT reinforcement | Enhanced reduction of repetitive behaviors and hyperactivity in ASD | Controlled trials[6] |
| Artificial intelligence integration | Machine learning-driven real-time parameter adjustment | Personalized training intensity based on moment-to-moment brain states | Platform development[3] |
| Telehealth expansion | Portable EEG devices with cloud connectivity | Home-based treatment for ASD with remote supervision | Market report[2] |
| Biomarker personalization | EEG neuromarkers (e.g., P300, gamma ratios) for prediction | Protocol selection based on individual neurophysiological profiles | Research validation[4] |
- Citation: Zhang Y, Wang JJ, Xing HY, Yan J. Neurofeedback for autism spectrum disorder: Current evidence, challenges, and future directions. World J Psychiatry 2026; 16(2): 114358
- URL: https://www.wjgnet.com/2220-3206/full/v16/i2/114358.htm
- DOI: https://dx.doi.org/10.5498/wjp.v16.i2.114358