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Resolving heterogeneity in transcranial electrical stimulation efficacy for attention deficit hyperactivity disorder
Renée Lipka1, Eike Ahlers1, Thomas L Reed2
1Department of Psychiatry, Charité Universitätsmedizin, Campus Benjamin Franklin, Hindenburgdamm 30, Berlin 12203, Germany.
Transcranial electrical stimulation (tES) shows promise for treating Attention Deficit Hyperactivity Disorder (ADHD) by improving cognitive functions and symptoms. However, inconsistent protocols and patient variability hinder its widespread use, necessitating advanced solutions like machine learning.
Area of Science:
- Neuroscience
- Neuromodulation
- Neurodevelopmental Disorders
Background:
- Pharmacological treatments dominate Attention Deficit Hyperactivity Disorder (ADHD) management.
- Transcranial electrical stimulation (tES) is emerging as a non-invasive neuromodulatory alternative.
- Existing meta-analyses suggest tES benefits ADHD-related cognitive deficits and symptoms.
Purpose of the Study:
- To review promising findings of tES for ADHD treatment.
- To identify key limitations hindering effective tES application in ADHD.
- To propose advanced solutions for optimizing tES in ADHD.
Main Methods:
- Review of current literature on tES for ADHD.
- Identification of protocol heterogeneity and patient-specific response factors.
- Exploration of machine learning for personalized tES protocols.
Main Results:
- tES demonstrates potential for improving inhibition and working memory in ADHD.
- tES may alleviate clinical symptoms associated with ADHD.
- Significant heterogeneity in tES protocols and patient responses are identified as major challenges.
Conclusions:
- tES offers a promising avenue for ADHD treatment, complementing existing therapies.
- Addressing protocol variability and patient-specific factors is crucial for maximizing tES efficacy.
- Machine learning presents a viable strategy to personalize tES for improved ADHD understanding, diagnosis, and treatment.
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