who is studying eeg patterns or evoked potential in pre clinical alzheimers disease?

Several major groups and cohorts are actively studying EEG and evoked/event‑related potentials (ERPs) in preclinical Alzheimer’s disease, mostly in amyloid‑PET–characterized or familial‑risk populations. Below are some of the key players and study frameworks.[19][20][21]

Major research cohorts

  • INSIGHT‑preAD (Paris, France): Single‑center cohort of ~300 cognitively normal older adults with amyloid PET, led by Bruno Dubois and colleagues at the Salpêtrière Hospital; Gaubert et al. have published high‑density resting‑state EEG work showing compensatory EEG changes across preclinical A/T(N) stages.[20][22]
  • ADNI / EEG substudies: ADNI‑linked work has examined EEG markers of amyloid–tau interaction and compensatory mechanisms in individuals at preclinical and prodromal stages.[21]

Familial and genetic‑risk studies

  • Familial AD mutation carriers: Studies of cortical ERPs in presymptomatic carriers of autosomal‑dominant AD mutations have been performed by groups working in large FAD kindreds, demonstrating ERP changes years before symptoms.[23][19]
  • APOE ε4 and family‑history cohorts: Classic ERP work in increased‑risk but cognitively normal adults (family history ± APOE ε4) has shown P3 and N2 latency changes consistent with preclinical AD physiology.[24][23]

Recent EEG/ERP methodology work

  • Quantitative EEG and machine learning: Recent clinical‑neurophysiology papers use quantitative EEG and event‑related oscillations from working‑memory and other cognitive paradigms to classify preclinical AD or neurodegeneration in at‑risk but unimpaired individuals.[25][26]
  • ERP component reviews and N400 work: Contemporary reviews and experimental studies focus on P300, N400 and related components as sensitive markers of synaptic/cognitive dysfunction in early or preclinical AD.[27][28][23]

If you tell what population (APOE4, SCD, FAD, amyloid‑PET–positive normals) and paradigm (resting‑state, P300 oddball, N400 language, working memory) you care about, more targeted groups and PIs can be listed.

  1. https://www.sciencealert.com/new-alzheimers-treatment-clears-plaques-from-brains-of-mice-within-hours      
  2. https://science.slashdot.org/story/25/10/16/0245204/new-alzheimers-treatment-clears-plaques-from-brains-of-mice-within-hours   
  3. https://www.yahoo.com/news/articles/alzheimers-treatment-clears-plaques-brains-024934387.html  
  4. https://www.newsweek.com/alzheimers-disease-striking-reversal-mice-10834889   
  5. https://www.sciencemediacentre.org/expert-reaction-to-study-of-amyloid-β-clearance-in-a-mouse-model-of-alzheimers-disease/   
  6. https://www.nature.com/articles/s41392-025-02426-1  
  7. https://www.psypost.org/nanoparticle-therapy-restores-brain-function-in-mice-with-alzheimers-disease/ 
  8. https://rupress.org/jem/article/213/5/677/42120/Rapid-in-vivo-measurement-of-amyloid-reveals
  9. https://pmc.ncbi.nlm.nih.gov/articles/PMC3972013/
  10. https://pmc.ncbi.nlm.nih.gov/articles/PMC3651582/
  11. https://pmc.ncbi.nlm.nih.gov/articles/PMC544607/
  12. https://www.facebook.com/ScienceNaturePage/posts/new-alzheimers-treatment-successfully-cleared-plaques-from-the-brains-of-mice-wi/1355474719366727/
  13. https://www.linkedin.com/posts/dato-capt-dr-mahesan-subramaniam-3080a4115_new-alzheimers-treatment-successfully-cleared-activity-7385593954119032832-usk5
  14. https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0010549
  15. https://www.sciencedirect.com/science/article/abs/pii/S0028390814000306
  16. https://digitalcommons.wustl.edu/cgi/viewcontent.cgi?article=7099&context=open_access_pubs
  17. https://www.instagram.com/p/DP-_H-vlCY7/
  18. https://pmc.ncbi.nlm.nih.gov/articles/PMC3074951/
  19. https://pmc.ncbi.nlm.nih.gov/articles/PMC2788802/ 
  20. https://pubmed.ncbi.nlm.nih.gov/31211359/ 
  21. https://pmc.ncbi.nlm.nih.gov/articles/PMC7475697/ 
  22. https://adni.loni.usc.edu/adni-publications/Gaubert-2019-EEG evidence of compensatory mech.pdf
  23. https://pmc.ncbi.nlm.nih.gov/articles/PMC3765089/  
  24. https://jamanetwork.com/journals/jamaneurology/fullarticle/775565
  25. https://www.sciencedirect.com/science/article/pii/S1388245724003365
  26. https://www.sciencedirect.com/science/article/abs/pii/S0197458021001470
  27. https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2025.1513049/full
  28. https://www.sciencedirect.com/science/article/abs/pii/S0167876024001685
  29. https://alz-journals.onlinelibrary.wiley.com/doi/full/10.1016/j.jalz.2012.05.1953
  30. https://www.neurology.org/doi/10.1212/WNL.0b013e318227b1b0
  31. https://pmc.ncbi.nlm.nih.gov/articles/PMC3328927/
  32. https://www.frontiersin.org/journals/global-womens-health/articles/10.3389/fgwh.2025.1531062/full
  33. https://www.neurology.org/doi/10.1212/WNL.98.18_supplement.2242
  34. https://pmc.ncbi.nlm.nih.gov/articles/PMC12119584/
  35. https://www.sciencedirect.com/science/article/pii/S2352872915000706
  36. https://clinicaltrials.gov/study/NCT02843529
  37. https://clinicaltrials.gov/study/NCT03644043

Prefrontal EEG slowing, synchronization, and ERP peak latency in association with predementia stages of Alzheimer’s disease – PMC

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