Transcranial alternating current stimulation barely enhances working memory in healthy adults: A meta-analysis
A Chuderski, SR Chinta - Brain Research, 2024 - Elsevier
Working memory (WM) is a pivotal neural mechanism for cognitive function and ability.
Transcranial alternating current stimulation (tACS) was used to improve WM by entraining …
Transcranial alternating current stimulation (tACS) was used to improve WM by entraining …
No effects of the theta-frequency transcranial electrical stimulation for recall, attention control, and relation integration in working memory
M Ociepka, SR Chinta, P Basoń… - Frontiers in Human …, 2024 - frontiersin.org
Introduction Recent studies have suggested that transcranial alternating current stimulation
(tACS), and especially the theta-frequency tACS, can improve human performance on …
(tACS), and especially the theta-frequency tACS, can improve human performance on …
Improving working memory by electrical stimulation and cross-frequency coupling
W Al Qasem, M Abubaker, K Pilátová, P Ježdík… - Molecular Brain, 2024 - Springer
Working memory (WM) is essential for the temporary storage and processing of information
required for complex cognitive tasks and relies on neuronal theta and gamma oscillations …
required for complex cognitive tasks and relies on neuronal theta and gamma oscillations …
EEG biomarkers analysis in different cognitive impairment after stroke: an exploration study
Stroke is a cerebrovascular illness that brings about the demise of brain tissue. It is the third
most prevalent cause of mortality worldwide and a significant contributor to physical …
most prevalent cause of mortality worldwide and a significant contributor to physical …
Repetitive Transcranial Alternating Current Stimulation to Improve Working Memory: An EEG-fNIRS Study
Transcranial electrical stimulation has demonstrated the potential to enhance cognitive
functions such as working memory, learning capacity, and attentional allocation. Recently, it …
functions such as working memory, learning capacity, and attentional allocation. Recently, it …
Early Detection of Patients with Mild Cognitive Impairment through EEG-SSVEP-based Machine Learning Model
Mild cognitive impairment (MCI) is a transitional stage from normal aging to Alzheimer's
disease (AD). Early detection of MCI is essential, as it offers a last opportunity for …
disease (AD). Early detection of MCI is essential, as it offers a last opportunity for …