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Comparison between EEG and MEG of static and dynamic resting‐state networks
The characterisation of resting‐state networks (RSNs) using neuroimaging techniques has
significantly contributed to our understanding of the organisation of brain activity. Prior work …
significantly contributed to our understanding of the organisation of brain activity. Prior work …
The cortical neurophysiological signature of amyotrophic lateral sclerosis
The progressive loss of motor function characteristic of amyotrophic lateral sclerosis is
associated with widespread cortical pathology extending beyond primary motor regions …
associated with widespread cortical pathology extending beyond primary motor regions …
Dynamic network analysis of electrophysiological task data
An important approach for studying the human brain is to use functional neuroimaging
combined with a task. In electrophysiological data, this often involves a time-frequency …
combined with a task. In electrophysiological data, this often involves a time-frequency …
Large-scale cortical networks are organized in structured cycles
The human brain exhibits recurrent oscillatory activity in cortical networks of neuronal
populations, which are thought to play a role in specialized cognitive functions. However, it …
populations, which are thought to play a role in specialized cognitive functions. However, it …
The Gaussian-linear hidden Markov model: A Python package
Abstract We propose the Gaussian-Linear Hidden Markov model (GLHMM), a generalisation
of different types of HMMs commonly used in neuroscience. In short, the GLHMM is a …
of different types of HMMs commonly used in neuroscience. In short, the GLHMM is a …
Modelling variability in functional brain networks using embeddings
Functional neuroimaging techniques allow us to estimate functional networks that underlie
cognition. However, these functional networks are often estimated at the group level and do …
cognition. However, these functional networks are often estimated at the group level and do …
osl-ephys: A Python toolbox for the analysis of electrophysiology data
We describe OHBA Software Library for the analysis of electrophysiological data (osl-
ephys). This toolbox builds on top of the widely used MNE-Python package and provides …
ephys). This toolbox builds on top of the widely used MNE-Python package and provides …
Default Mode Network Detection using EEG in Real-time
Mental health disorders affect countless people worldwide and present a major challenge
for mental health services, which are struggling with the demand on a global scale. Recent …
for mental health services, which are struggling with the demand on a global scale. Recent …
Differential beta and gamma activity modulation during unimanual and bimanual motor learning
M Wu, MJ Schoenfeld, C Lindersson, S Braeutigam… - bioRxiv, 2024 - biorxiv.org
Movement-related dynamics in the beta and gamma bands have been studied in relation to
motor execution and learning during unimanual movements, but their roles in complex …
motor execution and learning during unimanual movements, but their roles in complex …
Effects of age on resting-state cortical networks
Magnetoencephalography recordings of functional brain activity reveal large-scale cortical
networks that are associated with cognition. The correlation of individualised networks with …
networks that are associated with cognition. The correlation of individualised networks with …