[HTML][HTML] Progress in brain computer interface: Challenges and opportunities

S Saha, KA Mamun, K Ahmed, R Mostafa… - Frontiers in systems …, 2021 - frontiersin.org
Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …

Methodological considerations for studying neural oscillations

T Donoghue, N Schaworonkow… - European journal of …, 2022 - Wiley Online Library
Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …

Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent

L Waschke, T Donoghue, L Fiedler, S Smith, DD Garrett… - Elife, 2021 - elifesciences.org
A hallmark of electrophysiological brain activity is its 1/f-like spectrum–power decreases with
increasing frequency. The steepness of this 'roll-off'is approximated by the spectral …

Applications of OPM-MEG for translational neuroscience: a perspective

M Brickwedde, P Anders, AA Kühn, R Lofredi… - Translational …, 2024 - nature.com
Magnetoencephalography (MEG) allows the non-invasive measurement of brain activity at
millisecond precision combined with localization of the underlying generators. So far, MEG …

Neurophysiological signatures of cortical micro-architecture

G Shafiei, BD Fulcher, B Voytek… - Nature …, 2023 - nature.com
Systematic spatial variation in micro-architecture is observed across the cortex. These micro-
architectural gradients are reflected in neural activity, which can be captured by …

Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex

G Shafiei, S Baillet, B Misic - PLoS biology, 2022 - journals.plos.org
Whole-brain neural communication is typically estimated from statistical associations among
electromagnetic or haemodynamic time-series. The relationship between functional network …

[LIBRO][B] Electric brain signals: foundations and applications of biophysical modeling

G Halnes, TV Ness, S Næss, E Hagen, KH Pettersen… - 2024 - books.google.com
It is common to study the electric activity of neurons by measuring the electric potential in the
extracellular space of the brain. However, interpreting such measurements requires …

Optimal design of on‐scalp electromagnetic sensor arrays for brain source localisation

L Beltrachini, N von Ellenrieder, R Eichardt… - Human brain …, 2021 - Wiley Online Library
Optically pumped magnetometers (OPMs) are quickly widening the scopes of noninvasive
neurophysiological imaging. The possibility of placing these magnetic field sensors on the …

[HTML][HTML] Estimating the influence of stroke lesions on MEG source reconstruction

MC Piastra, R Oostenveld, JM Schoffelen, V Piai - NeuroImage, 2022 - Elsevier
Source reconstruction of magnetoencephalography (MEG) has been used to assess brain
reorganization after brain damage, such as stroke. Lesions result in parts of the brain having …

[HTML][HTML] Individually optimized multi-channel tDCS for targeting somatosensory cortex

A Khan, M Antonakakis, N Vogenauer… - Clinical …, 2022 - Elsevier
Objective Transcranial direct current stimulation (tDCS) is a non-invasive neuro-modulation
technique that delivers current through the scalp by a pair of patch electrodes (2-Patch). This …