Conclusions and Outlook
Overall review of effectiveness: Device-based treatments for ASD generally show moderate effectiveness in easing individual symptoms. None of the approaches reviewed is a "cure-all" or a stand-alone treatment, but each can target certain aspects of the difficulties seen in autism. HBOT potentially affects biological mechanisms (blood circulation, inflammation, metabolism) and has led to behavioral improvements in a number of studies, but it needs further confirmation with high-quality evidence. Neurofeedback therapy already has a relatively large amount of positive data on developing attention, communication and self-control in children – it stands out as safe and promising for long-term rehabilitation. Brain neuromodulation methods – tDCS and TMS – have so far shown modest but real benefits (for example, reduced stereotyped behaviors and irritability) and have proved safe in the pediatric population. Innovative technologies (such as vagus nerve stimulation or photobiomodulation) open up new directions, combining simplicity with targeted influence on the nervous system, but are still at the stage of testing hypotheses.
Level of evidence and latest research: All the methods reviewed need further randomized controlled trials to raise the level of evidence. Existing meta-analyses and systematic reviews give encouraging signals (e.g., significant effects of HBOT, neurofeedback and TMS), but they often note low study quality and small samples. It is important to conduct studies with a double-blind design (especially for TMS, neurofeedback and HBOT, to rule out the placebo effect), to enroll enough participants and to assess long-term effects. The latest clinical trials now under way (2023–2025) in different countries aim to refine the protocols: for example, to determine the optimal pressure and course length for HBOT, the electrode placement sites and parameters for tDCS/TMS, the number of sessions and target rhythms for neurofeedback, and so on. Researchers are also increasingly including objective endpoints – neuroimaging and neurophysiological measures (functional MRI, EEG, inflammation biomarkers) – to understand how these methods affect the brain and which mechanisms they change.
Use in practice: As of 2025, none of the device-based methods has been included in the standards of medical care for autism in the leading international protocols (NAP, NICE and others). Their use is very uneven: it depends more on the initiative of individual clinics or parents' requests than on state programs. In countries such as the USA and Canada, there is an active private sector offering neurofeedback, HBOT or even off-label TMS to children with autism, but these services are not covered by insurance and are not governed by uniform standards. In Europe (the Netherlands, Germany, the United Kingdom and others), device-based methods are used mainly within research or in rehabilitation centers; national health systems are still cautious about adopting them because of the lack of unambiguous evidence. China, India and the Middle East are regions where the number of publications on neuromodulation in ASD has grown in recent years, which may indicate more experimental practice and potential interest in introducing new technologies into treatment. For example, Chinese researchers have carried out a series of TMS and tDCS trials and published positive safety reviews, and several clinics in Israel and the UAE offer HBOT to children with autism. Ukraine is not on the sidelines either: some private rehabilitation centers are introducing neurofeedback and sensory technologies, but there are no recommendations at the national level. Overall, device-based methods are currently regarded as supplementary or alternative interventions at the discretion of the specialist and the family, when traditional approaches do not give a sufficient effect.
Prospects for development: The future of device-based technologies in autism therapy depends on the results of high-quality research and on the improvement of the technologies themselves. There are several key directions of development:
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Personalization and targeting: Moving away from the "one method for everyone" principle toward selecting therapy for a specific patient profile. For example, preliminary EEG/fMRI diagnostics could be used to determine who would benefit more from neurofeedback (in the case of pronounced rhythm abnormalities) and who from TMS of a particular area (in the case of dysfunction of specific networks). Neuronavigation algorithms for TMS are already being tested, which will allow more precise stimulation of the required brain areas and reduce the variability of results. A personalized approach may increase effectiveness and reduce unnecessary interventions.
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Combined use: There is a hypothesis that combining device-based methods with traditional ones will produce synergy. For example, HBOT + behavioral therapy has already shown better speech development than behavioral therapy alone. In the future, protocols are possible in which an intensive social-communication training program follows a course of neurofeedback (improved attention), or cognitive behavioral therapy follows TMS (reduced stereotyped behaviors) to consolidate skills. Such multimodal strategies could make the most of the window of neuroplasticity opened by device-based stimulation.
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Accessibility and miniaturization: Technological progress is moving toward portable devices for home use. Compact tDCS devices already exist, and there are projects for portable TMS (for example, helmets with coils) and for home neurofeedback systems via a tablet. If clinical trials confirm their safety and effectiveness, such devices could receive regulatory approval for use under periodic remote supervision by a doctor. This would significantly expand access to therapy, especially for families who cannot often visit specialized centers. One example is the successful experience with remotely guided taVNS at home, which can serve as a model for other methods.
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Understanding the mechanisms: Alongside clinical data, it is important to understand why and how these methods work. Studies in animal models of ASD (for example, a mouse model with valproic acid exposure) show that HBOT may reduce neuroinflammation and influence gene expression (in particular, GRIN2B) in the brain. Uncovering such neurobiological mechanisms will help optimize protocols (for example, tune the TMS frequency that stimulates neuroplasticity, or select the light wavelength for maximum effect). Once the mechanisms are understood, it will be easier to persuade both the medical community and regulators that the use of these methods is justified.
In conclusion, it should be emphasized that device-based methods are a promising addition to the range of autism therapies, but for now they do not replace traditional evidence-based approaches (behavioral interventions, educational support and medication when needed). Their introduction into clinical practice in different countries is proceeding gradually and cautiously. Wide recognition will require further high-quality evidence – only then will international clinical guidelines be able to recommend these technologies. At the same time, some families and specialists, having weighed the risks and potential benefits, already use HBOT, neurofeedback, TMS or other methods as part of a comprehensive plan. As science and technology develop, we are likely to see new evidence-based protocols for device-based therapy that may take a worthy place in comprehensive care for people with ASD.
Author: O. S. Kiian
Founder and Director of CSM Clinic