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M Diachenko
M Diachenko
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Resting-state oscillations reveal disturbed excitation–inhibition ratio in Alzheimer’s disease patients
AM Van Nifterick, D Mulder, DJ Duineveld, M Diachenko, P Scheltens, ...
Scientific reports 13 (1), 7419, 2023
322023
Pre-retirement employees experience lasting improvements in resilience and well-being after mindfulness-based stress reduction
M Diachenko, KK Smith, L Fjorback, NV Hansen, K Linkenkaer-Hansen, ...
Frontiers in psychology 12, 699088, 2021
212021
Improved manual annotation of EEG signals through convolutional neural network guidance
M Diachenko, SJ Houtman, EL Juarez-Martinez, JR Ramautar, R Weiler, ...
Eneuro 9 (5), 2022
62022
Robin’s viewer: using deep-learning predictions to assist EEG annotation
R Weiler, M Diachenko, EL Juarez-Martinez, AE Avramiea, P Bloem, ...
Frontiers in Neuroinformatics 16, 1025847, 2023
22023
Functional excitation-inhibition ratio indicates near-critical oscillations across frequencies
M Diachenko, A Sharma, DJA Smit, HD Mansvelder, H Bruining, ...
Imaging Neuroscience 2, 1-17, 2024
2024
Qualitative EEG abnormalities signal a shift towards inhibition-dominated brain networks. Results from the EU-AIMS LEAP studies
EL Juarez-Martinez, AE Avramiea, P Garcés, JF Hipp, SS Poil, ...
bioRxiv, 2024.09. 19.613847, 2024
2024
Interneuron hyperexcitability in an APP/PS1 mouse model of Alzheimer’s disease
S Hijazi, FC van Heusden, M Diachenko, MA Nejat, AB Smit, ...
Alzheimer's & Dementia 19, e073241, 2023
2023
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