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Recording physiological and pathological cortical activity and exogenous electric fields using graphene microtransistor arrays in vitro.
Cancino-Fuentes, Nathalia; Manasanch, Arnau; Covelo, Joana; Suarez-Perez, Alex; Fernandez, Enrique; Matsoukis, Stratis; Guger, Christoph; Illa, Xavi; Guimerà-Brunet, Anton; Sanchez-Vives, Maria V.
Affiliation
  • Cancino-Fuentes N; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. msanche3@recerca.clinic.cat.
  • Manasanch A; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. msanche3@recerca.clinic.cat.
  • Covelo J; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. msanche3@recerca.clinic.cat.
  • Suarez-Perez A; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. msanche3@recerca.clinic.cat.
  • Fernandez E; Instituto de Microelectrónica de Barcelona (IMB-CNM, CSIC), Spain.
  • Matsoukis S; g.tec medical engineering, Schiedlberg, Austria.
  • Guger C; Institute of Computational Perception, Johannes Kepler University, Linz, Austria.
  • Illa X; g.tec medical engineering, Schiedlberg, Austria.
  • Guimerà-Brunet A; Instituto de Microelectrónica de Barcelona (IMB-CNM, CSIC), Spain.
  • Sanchez-Vives MV; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain.
Nanoscale ; 16(2): 664-677, 2024 Jan 03.
Article de En | MEDLINE | ID: mdl-38100059
ABSTRACT
Graphene-based solution-gated field-effect transistors (gSGFETs) allow the quantification of the brain's full-band signal. Extracellular alternating current (AC) signals include local field potentials (LFP, population activity within a reach of hundreds of micrometers), multiunit activity (MUA), and ultimately single units. Direct current (DC) potentials are slow brain signals with a frequency under 0.1 Hz, and commonly filtered out by conventional AC amplifiers. This component conveys information about what has been referred to as "infraslow" activity. We used gSGFET arrays to record full-band patterns from both physiological and pathological activity generated by the cerebral cortex. To this end, we used an in vitro preparation of cerebral cortex that generates spontaneous rhythmic activity, such as that occurring in slow wave sleep. This examination extended to experimentally induced pathological activities, including epileptiform discharges and cortical spreading depression. Validation of recordings obtained via gSGFETs, including both AC and DC components, was accomplished by cross-referencing with well-established technologies, thereby quantifying these components across different activity patterns. We then explored an additional gSGFET potential application, which is the measure of externally induced electric fields such as those used in therapeutic neuromodulation in humans. Finally, we tested the gSGFETs in human cortical slices obtained intrasurgically. In conclusion, this study offers a comprehensive characterization of gSGFETs for brain recordings, with a focus on potential clinical applications of this emerging technology.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Graphite Limites: Humans Langue: En Journal: Nanoscale Année: 2024 Type de document: Article Pays d'affiliation: Espagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Graphite Limites: Humans Langue: En Journal: Nanoscale Année: 2024 Type de document: Article Pays d'affiliation: Espagne