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.
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Starting year

2026

End year

2027

Granted funding


Tarja Malm Orcid -palvelun logo
224 997 €

Funder

Research Council of Finland

Funding instrument

Targeted Academy projects

Decision maker

Suomen akatemian muu päättäjä
03.11.2025

Other information

Funding decision number

372554

Fields of science

Neurosciences

Research fields

Neurotiede