detalle del documento
IDENTIFICACIÓN
oai:pubmedcentral.nih.gov:1032...
Tema
ReviewAutor
Wijaya, Adi Setiawan, Noor Akhmad Ahmad, Asma Hayati Zakaria, Rahimah Othman, ZahiruddinLangue
enEditor
AIMS Press
Categoría
AIMS Neuroscience
Año
2023
fecha de cotización
9/10/2023
Palabras clave
review research mciResumen
Mild cognitive impairment (MCI) is often considered a precursor to Alzheimer's disease (AD) and early diagnosis may help improve treatment effectiveness.
To identify accurate MCI biomarkers, researchers have utilized various neuroscience techniques, with electroencephalography (EEG) being a popular choice due to its low cost and better temporal resolution.
In this scoping review, we analyzed 2310 peer-reviewed articles on EEG and MCI between 2012 and 2022 to track the research progress in this field.
Our data analysis involved co-occurrence analysis using VOSviewer and a Patterns, Advances, Gaps, Evidence of Practice, and Research Recommendations (PAGER) framework.
We found that event-related potentials (ERP), EEG, epilepsy, quantitative EEG (QEEG), and EEG-based machine learning were the primary research themes.
The study showed that ERP/EEG, QEEG, and EEG-based machine learning frameworks provide high-accuracy detection of seizure and MCI.
These findings identify the main research themes in EEG and MCI and suggest promising avenues for future research in this field.
Wijaya, Adi,Setiawan, Noor Akhmad,Ahmad, Asma Hayati,Zakaria, Rahimah,Othman, Zahiruddin, 2023, Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA), AIMS Press
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
evaluation computer dataset images tti generation i-halla
Role of Repetitive Transcranial Magnetic Stimulation in Treatment of Fibromyalgia: A Randomized Controlled Trial
significant following stimulation fms treatment
