EEG Functional Connectivity Differences Predict Future Conversion to Dementia in Mild Cognitive Impairment With Lewy Body or Alzheimer Disease
Patients with MCI who convert to dementia have significant differences in EEG frequency, average connectivity and network topology prior to the onset of dementia. The MCI group is clinically heterogeneous and have underlying physiological differences that may be driving the progression of cognitive symptoms. EEG connectivity could be useful to predict which patients with MCI-AD and MCI-LB convert to dementia, regardless of the neurodegenerative aetiology.
Authors
- Sean J. Colloby
- Alan Thomas (ORCID: https://orcid.org/0000-0002-6667-9533)
- Calum A. Hamilton (ORCID: https://orcid.org/0000-0002-9812-3150)
- Paul C. Donaghy (ORCID: https://orcid.org/0000-0001-7195-4846)
- Julia Schumacher (ORCID: https://orcid.org/0000-0001-7323-4789)
- Jahfer Hasoon (ORCID: https://orcid.org/0000-0002-0989-1175)
- John‐Paul Taylor (ORCID: https://orcid.org/0000-0001-7958-6558)
Institutions
- German Center for Neurodegenerative Diseases (DE)
- University of Rostock (DE)
- Newcastle University (GB)
Publication Details
- Journal
- International Journal of Geriatric Psychiatry
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/gps.6138
- Citations
- 5
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- Alzheimer's Society
- National Institute for Health and Care Research
- Department of Health and Social Care
- Newcastle University
- Alzheimer’s Research UK
- GE Healthcare
- Medical Research Council
- NIHR Newcastle Biomedical Research Centre