Predicting tDCS results in autistic teens with machine learning
Part of Mental health clinical trials.
This study uses machine learning to predict how well a teen with autism may respond to tDCS, a non-invasive brain stimulation. It mainly looks at personal factors (like understanding instructions and baseline abilities) to better estimate treatment outcomes.
Summary written for real people, not researchers, by Clin2.
Who can take part
- A clinical psychologist must confirm you have autism spectrum disorder using specific interview/testing methods
- Your overall thinking ability (IQ) must be above 60
- You must be able to understand and follow instructions for the tests and the stimulation
- You should not have severe movement or coordination problems that would make participation difficult
- You must not have a history of other major brain/mental health disorders or head injury, and you should not be taking psychiatric medicines
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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