Mariska J Vansteensel

Advances in human intracranial electroencephalography research, guidelines and good practices

Abstract:

Since the second half of the twentieth century, intracranial electroencephalography (iEEG), including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG), has provided an intimate view into the human brain. At the interface between fundamental research and the clinic, iEEG provides both high temporal resolution and high spatial specificity but comes with constraints, such as the individual's tailored sparsity of electrode sampling. Over the years, researchers in neuroscience developed their practices to make the most of the iEEG approach. Here we offer a critical review of iEEG research practices in a didactic framework for newcomers, as well addressing issues encountered by proficient researchers. The scope is threefold: (i) review common practices in iEEG research, (ii) suggest potential guidelines for working with iEEG data and answer frequently asked questions based on the most widespread practices, and (iii) based on current neurophysiological knowledge and methodologies, pave the way to good practice standards in iEEG research. The organization of this paper follows the steps of iEEG data processing. The first section contextualizes iEEG data collection. The second section focuses on localization of intracranial electrodes. The third section highlights the main pre-processing steps. The fourth section presents iEEG signal analysis methods. The fifth section discusses statistical approaches. The sixth section draws some unique perspectives on iEEG research. Finally, to ensure a consistent nomenclature throughout the manuscript and to align with other guidelines, e.g., Brain Imaging Data Structure (BIDS) and the OHBM Committee on Best Practices in Data Analysis and Sharing (COBIDAS), we provide a glossary to disambiguate terms related to iEEG research.

Authors:

  • Manuel R. Mercier

  • Anne-Sophie Dubarry

  • François Tadel

  • Pietro Avanzini

  • Nikolai Axmacher

  • Dillan Cellier

  • Maria Del Vecchio

  • Liberty S. Hamilton

  • Dora Hermes

  • Michael J. Kahana

  • Robert T. Knight

  • Anais Llorens

  • Pierre Megevand

  • Lucia Melloni

  • Kai J. Miller

  • Vitória Piai

  • Aina Puce

  • Nick F. Ramsey

  • Caspar M. Schwiedrzik

  • Sydney E. Smith

  • Arjen Stolk

  • Nicole C. Swann

  • Mariska J Vansteensel

  • Bradley Voytek

  • Liang Wang

  • Jean-Philippe Lachaux

  • Robert Oostenveld

Date: 2022

DOI: https://doi.org/10.1016/j.neuroimage.2022.119438

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Electrocorticographic dissociation of alpha and beta rhythmic activity in the human sensorimotor system

Abstract:

This study uses electrocorticography in humans to assess how alpha- and beta-band rhythms modulate excitability of the sensorimotor cortex during psychophysically-controlled movement imagery. Both rhythms displayed effector-specific modulations, tracked spectral markers of action potentials in the local neuronal population, and showed spatially systematic phase relationships (traveling waves). Yet, alpha- and beta-band rhythms differed in their anatomical and functional properties, were weakly correlated, and traveled along opposite directions across the sensorimotor cortex. Increased alpha-band power in the somatosensory cortex ipsilateral to the selected arm was associated with spatially-unspecific inhibition. Decreased beta-band power over contralateral motor cortex was associated with a focal shift from relative inhibition to excitation. These observations indicate the relevance of both inhibition and disinhibition mechanisms for precise spatiotemporal coordination of movement-related neuronal populations, and illustrate how those mechanisms are implemented through the substantially different neurophysiological properties of sensorimotor alpha- and beta-band rhythms.

Authors:

  • Arjen Stolk

  • Loek Brinkman

  • Mariska J Vansteensel

  • Erik Aarnoutse

  • Frans SS Leijten

  • Chris H Dijkerman

  • Robert T Knight

  • Floris P de Lange

  • Ivan Toni

Date: 2019

DOI: https://doi.org/10.7554/eLife.48065

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