Waveform-based prediction of AD-related pathology for patient diagnostics (WAVEAD)
Akronym
WAVEAD
Bidragets beskrivning
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.
Visa merStartår
2026
Slutår
2027
Beviljade finansiering
Rollen i Finlands Akademis konsortium
Övriga parter i konsortiet
Finansiär
Finlands Akademi
Typ av finansiering
Akademiprojekt med särskild inriktning
Beslutfattare
Suomen akatemian muu päättäjä
03.11.2025
03.11.2025
Övriga uppgifter
Finansieringsbeslutets nummer
372554
Vetenskapsområden
Neurovetenskaper
Forskningsområden
Neurotiede