Web of Science: 3 cites, Scopus: 3 cites, Google Scholar: cites,
Concurrent functional ultrasound imaging with graphene-based DC-coupled electrophysiology as a platform to study slow brain signals and cerebral blood flow under control and pathophysiological brain states
Zhang, Julie Meng (Sorbonne Université)
Masvidal Codina, Eduard (Institut Català de Nanociència i Nanotecnologia)
Nguyen, Diep (Sorbonne Université)
Illa, Xavi (Institute of Microelectronics of Barcelona)
Dégardin, Julie (Sorbonne Université)
Goulet, Ruben (Sorbonne Université)
Prats-Alfonso, Elisabet (Institute of Microelectronics of Barcelona)
Matsoukis, Stratis (Institute for Computational Perception. Johannes Kepler University)
Guger, Christoph (G-Tec Medical Engineering GmbH)
Garrido, Jose Antonio (Institut Català de Nanociència i Nanotecnologia)
Picaud, Serge (Sorbonne Université)
Guimerà-Brunet, Anton (Institute of Microelectronics of Barcelona)
Wykes, Robert C (University of Manchester)

Data: 2024
Resum: Current methodology used to investigate how shifts in brain states associated with regional cerebral blood volume (CBV) change in deep brain areas, are limited by either the spatiotemporal resolution of the CBV techniques, and/or compatibility with electrophysiological recordings; particularly in relation to spontaneous brain activity and the study of individual events. Additionally, infraslow brain signals (<0. 1 Hz), including spreading depolarisations, DC-shifts and infraslow oscillations (ISO), are poorly captured by traditional AC-coupled electrographic recordings; yet these very slow brain signals can profoundly change CBV. To gain an improved understanding of how infraslow brain signals couple to CBV we present a new method for concurrent CBV with wide bandwidth electrophysiological mapping using simultaneous functional ultrasound imaging (fUS) and graphene-based field effect transistor (gFET) DC-coupled electrophysiological acquisitions. To validate the feasibility of this methodology visually-evoked neurovascular coupling (NVC) responses were examined. gFET recordings are not affected by concurrent fUS imaging, and epidural placement of gFET arrays within the imaging window did not deteriorate fUS signal quality. To examine directly the impact of infra-slow potential shifts on CBV, cortical spreading depolarisations (CSDs) were induced. A biphasic pattern of decreased, followed by increased CBV, propagating throughout the ipsilateral cortex, and a delayed decrease in deeper subcortical brain regions was observed. In a model of acute seizures, CBV oscillations were observed prior to seizure initiation. Individual seizures occurred on the rising phase of both infraslow brain signal and CBV oscillations. When seizures co-occurred with CSDs, CBV responses were larger in amplitude, with delayed CBV decreases in subcortical structures. Overall, our data demonstrate that gFETs are highly compatible with fUS and allow concurrent examination of wide bandwidth electrophysiology and CBV. This graphene-enabled technological advance has the potential to improve our understanding of how infraslow brain signals relate to CBV changes in control and pathological brain states.
Ajuts: European Commission 881603
European Commission 861423
Agencia Estatal de Investigación CEX2021-001214-S
Agencia Estatal de Investigación FJC2021-046601-I
Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-00495
Agencia Estatal de Investigación PID2021-126117NA-I00
Agencia Estatal de Investigación PLEC2022-009232
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Publicat a: Nanoscale horizons, Vol. 9, Issue 4 (April 2024) p. 544-554, ISSN 2055-6764

DOI: 10.1039/d3nh00521f


11 p, 6.8 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > Institut Català de Nanociència i Nanotecnologia (ICN2)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2024-11-28, darrera modificació el 2025-03-05



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