Accelerated functional brain aging in pre-clinical familial Alzheimer's disease

J Gonneaud, AT Baria, A Pichet Binette… - Nature …, 2021 - nature.com
Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently
develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid …

[HTML][HTML] A reusable benchmark of brain-age prediction from M/EEG resting-state signals

DA Engemann, A Mellot, R Höchenberger, H Banville… - Neuroimage, 2022 - Elsevier
Population-level modeling can define quantitative measures of individual aging by applying
machine learning to large volumes of brain images. These measures of brain age, obtained …

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states

D Sabbagh, P Ablin, G Varoquaux, A Gramfort… - NeuroImage, 2020 - Elsevier
Predicting biomedical outcomes from Magnetoencephalography and
Electroencephalography (M/EEG) is central to applications like decoding, brain-computer …

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

DA Engemann, O Kozynets, D Sabbagh, G Lemaître… - Elife, 2020 - elifesciences.org
Electrophysiological methods, that is M/EEG, provide unique views into brain health. Yet,
when building predictive models from brain data, it is often unclear how electrophysiology …

Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence

VO Manyukhina, AO Prokofyev, IA Galuta, DE Goiaeva… - Molecular autism, 2022 - Springer
Background Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in
ASD. However, it is not known whether the direction and degree of changes in the E–I ratio …

Unifying pairwise interactions in complex dynamics

OM Cliff, AG Bryant, JT Lizier, N Tsuchiya… - Nature Computational …, 2023 - nature.com
Scientists have developed hundreds of techniques to measure the interactions between
pairs of processes in complex systems, but these computational methods—from …

Co-increasing neuronal noise and beta power in the developing brain

W He, T Donoghue, PF Sowman, RA Seymour, J Brock… - BioRxiv, 2019 - biorxiv.org
Accumulating evidence across species indicates that brain oscillations are superimposed
upon an aperiodic 1/f-like power spectrum. Maturational changes in neuronal oscillations …

Manifold-regression to predict from MEG/EEG brain signals without source modeling

D Sabbagh, P Ablin, G Varoquaux… - Advances in …, 2019 - proceedings.neurips.cc
Magnetoencephalography and electroencephalography (M/EEG) can reveal neuronal
dynamics non-invasively in real-time and are therefore appreciated methods in medicine …

New cognitive neurotechnology facilitates studies of cortical–subcortical interactions

BK Min, MS Hämäläinen, D Pantazis - Trends in biotechnology, 2020 - cell.com
Most of the studies employing neuroimaging have focused on cortical and subcortical
signals individually to obtain neurophysiological signatures of cognitive functions. However …

Synchronization patterns reveal neuronal coding of working memory content

F Mamashli, S Khan, M Hämäläinen, M Jas, T Raij… - Cell reports, 2021 - cell.com
Neuronal oscillations are suggested to play an important role in auditory working memory
(WM), but their contribution to content-specific representations has remained unclear. Here …