[HTML][HTML] Advances in human intracranial electroencephalography research, guidelines and good practices

MR Mercier, AS Dubarry, F Tadel, P Avanzini… - Neuroimage, 2022 - Elsevier
Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

[HTML][HTML] Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review

FV Farahani, W Karwowski, NR Lighthall - frontiers in Neuroscience, 2019 - frontiersin.org
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Defining epileptogenic networks: contribution of SEEG and signal analysis

F Bartolomei, S Lagarde, F Wendling, A McGonigal… - …, 2017 - Wiley Online Library
Epileptogenic networks are defined by the brain regions involved in the production and
propagation of epileptic activities. In this review we describe the historical, methodologic …

[HTML][HTML] A tutorial review of functional connectivity analysis methods and their interpretational pitfalls

AM Bastos, JM Schoffelen - Frontiers in systems neuroscience, 2016 - frontiersin.org
Oscillatory neuronal activity may provide a mechanism for dynamic network coordination.
Rhythmic neuronal interactions can be quantified using multiple metrics, each with their own …

[HTML][HTML] Classification and prediction of brain disorders using functional connectivity: promising but challenging

Y Du, Z Fu, VD Calhoun - Frontiers in neuroscience, 2018 - frontiersin.org
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

[HTML][HTML] Decoding covert speech from EEG-a comprehensive review

JT Panachakel, AG Ramakrishnan - Frontiers in Neuroscience, 2021 - frontiersin.org
Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

[HTML][HTML] How reliable are MEG resting-state connectivity metrics?

GL Colclough, MW Woolrich, PK Tewarie, MJ Brookes… - Neuroimage, 2016 - Elsevier
MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …

Advancing functional connectivity research from association to causation

AT Reid, DB Headley, RD Mill… - Nature …, 2019 - nature.com
Cognition and behavior emerge from brain network interactions, such that investigating
causal interactions should be central to the study of brain function. Approaches that …

[HTML][HTML] Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Dynamics of large-scale electrophysiological networks: A technical review

GC O'Neill, P Tewarie, D Vidaurre, L Liuzzi… - NeuroImage, 2018 - Elsevier
For several years it has been argued that neural synchronisation is crucial for cognition. The
idea that synchronised temporal patterns between different neural groups carries …