Waveform-based prediction of AD-related pathology for patient diagnostics (WAVEAD)
Acronym
WAVEAD
Description of the granted funding
A subset of idiopathic normal pressure hydrocephalus (iNPH) patients exhibit early AD-related pathology, providing a unique opportunity to study AD progression. Utilizing living brain biopsies and clinical data from iNPH patients, we assess how AD pathology affects neuronal circuit function. Our academy of Finland -funded project revealed that pre-existing AD pathology impairs synaptic strengthening, as evaluated via multielectrode arrays (MEA). A machine-learning classifier accurately predicted pathological status using synaptic plasticity-induced waveforms. We now investigate whether glutamatergic and cholinergic signaling waveforms offer similar predictive value and correlate with clinical findings from transcranial magnetic stimulation (TMS) and EEG. If validated, these biomarkers could enable early AD detection, personalized therapy, and commercialization as diagnostic tools.
Show moreStarting year
2026
End year
2027
Granted funding
Funder
Research Council of Finland
Funding instrument
Targeted Academy projects
Decision maker
Suomen akatemian muu päättäjä
03.11.2025
03.11.2025
Other information
Funding decision number
372554
Fields of science
Neurosciences
Research fields
Neurotiede