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.
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Startår

2026

Slutår

2027

Beviljade finansiering


Tarja Malm Orcid -palvelun logo
224 997 €

Rollen i Finlands Akademis konsortium

Övriga parter i konsortiet

Partner
Östra Finlands universitet (372555)
225 001 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt med särskild inriktning

Beslutfattare

Suomen akatemian muu päättäjä
03.11.2025

Övriga uppgifter

Finansieringsbeslutets nummer

372554

Vetenskapsområden

Neurovetenskaper

Forskningsområden

Neurotiede