Time-Frequency Domain Analysis of Quantitative Electroencephalography as a Biomarker for Dementia
Biomarkers currently used to diagnose dementia, including Alzheimer’s disease (AD), primarily detect molecular and structural brain changes associated with the condition’s pathology. Although these markers are pivotal in detecting disease-specific neuropathological hallmarks, their association with...
Saved in:
| Main Authors: | Chanda Simfukwe, Seong Soo A. An, Young Chul Youn |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/15/12/1509 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantitative electroencephalography characteristics in delirium with various etiologies: A multicenter study
by: Julia van der A, et al.
Published: (2025-01-01) -
Research on healing-oriented street design based on quantitative emotional electroencephalography and eye-tracking technology
by: Huibin Shao, et al.
Published: (2025-05-01) -
Investigating biomarkers for personality alterations in temporal lobe epilepsy patients: based on peripheral inflammatory indices, electroencephalography, and neuroimaging
by: Jia Wang, et al.
Published: (2025-07-01) -
Quantitative electroencephalography (qEEG) to discriminate primary degenerative dementia from major depressive disorder (depression)
by: Deslandes Andréa, et al.
Published: (2004-01-01) -
Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence
by: Sahar Rezaei, et al.
Published: (2025-08-01)