Literature DB >> 21654039

The effects of blood vessels on electrocorticography.

M G Bleichner1, M J Vansteensel, G M Huiskamp, D Hermes, E J Aarnoutse, C H Ferrier, N F Ramsey.   

Abstract

Electrocorticography, primarily used in a clinical context, is becoming increasingly important for fundamental neuroscientific research, as well as for brain-computer interfaces. Recordings from these implanted electrodes have a number of advantages over non-invasive recordings in terms of band width, spatial resolution, smaller vulnerability to artifacts and overall signal quality. However, an unresolved issue is that signals vary greatly across electrodes. Here, we examine the effect of blood vessels lying between an electrode and the cortex on signals recorded from subdural grid electrodes. Blood vessels of different sizes cover extensive parts of the cortex causing variations in the electrode-cortex connection across grids. The power spectral density of electrodes located on the cortex and electrodes located on blood vessels obtained from eight epilepsy patients is compared. We find that blood vessels affect the power spectral density of the recorded signal in a frequency-band-specific way, in that frequencies between 30 and 70 Hz are attenuated the most. Here, the signal is attenuated on average by 30-40% compared to electrodes directly on the cortex. For lower frequencies this attenuation effect is less pronounced. We conclude that blood vessels influence the signal properties in a non-uniform manner.

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Year:  2011        PMID: 21654039     DOI: 10.1088/1741-2560/8/4/044002

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  4 in total

1.  Comparison of subdural and subgaleal recordings of cortical high-gamma activity in humans.

Authors:  Jared D Olson; Jeremiah D Wander; Lise Johnson; Devapratim Sarma; Kurt Weaver; Edward J Novotny; Jeffrey G Ojemann; Felix Darvas
Journal:  Clin Neurophysiol       Date:  2015-04-09       Impact factor: 3.708

2.  Characterization of the effects of the human dura on macro- and micro-electrocorticographic recordings.

Authors:  David T Bundy; Erik Zellmer; Charles M Gaona; Mohit Sharma; Nicholas Szrama; Carl Hacker; Zachary V Freudenburg; Amy Daitch; Daniel W Moran; Eric C Leuthardt
Journal:  J Neural Eng       Date:  2014-02       Impact factor: 5.379

3.  GridLoc: An automatic and unsupervised localization method for high-density ECoG grids.

Authors:  Mariana P Branco; Michael Leibbrand; Mariska J Vansteensel; Zachary V Freudenburg; Nick F Ramsey
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

4.  Impact of Brain Surface Boundary Conditions on Electrophysiology and Implications for Electrocorticography.

Authors:  Nicholas Rogers; Martin Thunemann; Anna Devor; Vikash Gilja
Journal:  Front Neurosci       Date:  2020-08-07       Impact factor: 4.677

  4 in total

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