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 …
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
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 …
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
Predicting biomedical outcomes from Magnetoencephalography and
Electroencephalography (M/EEG) is central to applications like decoding, brain-computer …
Electroencephalography (M/EEG) is central to applications like decoding, brain-computer …
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers
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 …
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 …
ASD. However, it is not known whether the direction and degree of changes in the E–I ratio …
Unifying pairwise interactions in complex dynamics
Scientists have developed hundreds of techniques to measure the interactions between
pairs of processes in complex systems, but these computational methods—from …
pairs of processes in complex systems, but these computational methods—from …
Co-increasing neuronal noise and beta power in the developing brain
Accumulating evidence across species indicates that brain oscillations are superimposed
upon an aperiodic 1/f-like power spectrum. Maturational changes in neuronal oscillations …
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
Magnetoencephalography and electroencephalography (M/EEG) can reveal neuronal
dynamics non-invasively in real-time and are therefore appreciated methods in medicine …
dynamics non-invasively in real-time and are therefore appreciated methods in medicine …
New cognitive neurotechnology facilitates studies of cortical–subcortical interactions
Most of the studies employing neuroimaging have focused on cortical and subcortical
signals individually to obtain neurophysiological signatures of cognitive functions. However …
signals individually to obtain neurophysiological signatures of cognitive functions. However …
Synchronization patterns reveal neuronal coding of working memory content
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 …
(WM), but their contribution to content-specific representations has remained unclear. Here …