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 | 32 | 2023 |
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 | 21 | 2021 |
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 | 6 | 2022 |
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 | 2 | 2023 |
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 |