AI Article Synopsis
- Clinical EEG has a complex history in cognitive applications, but research use dates back to the 1960s in psychology and neuroscience.
- EEG-based biomarkers are emerging for use in clinical trials and could eventually be used in patient care.
- Addressing quality control, artifact treatment, and normal variants is essential for developing reliable EEG applications through advancements in engineering and science.
Article Abstract
The field of clinical EEG has had an uneasy relationship with the use of this technology for clinical cognitive applications and often for good reason. However, apart from its clinical use, EEG has had a tradition as a major tool in cognitive psychology and cognitive neuroscience dating back at least to the 1960s. Based on accumulated knowledge from its research application, EEG-based biomarkers are beginning to see applications in clinical trials and may eventually enter clinical care. We address concerns surrounding quality control, the treatment of artifact, and normal variants and how developments in engineering, biomarker validation, and implementation science rigorously applied to these tools can lead to well-justified approaches.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810913 | PMC |
| http://dx.doi.org/10.1097/WNP.0000000000000836 | DOI Listing |
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