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High-density cortical µECoG arrays concurrently track spreading depolarizations and long-term evolution of stroke in awake rats.
Palopoli-Trojani, Kay; Trumpis, Michael; Chiang, Chia-Han; Wang, Charles; Williams, Ashley J; Evans, Cody L; Turner, Dennis A; Viventi, Jonathan; Hoffmann, Ulrike.
Affiliation
  • Palopoli-Trojani K; Biomedical Engineering, Duke University, Durham, NC, USA.
  • Trumpis M; Biomedical Engineering, Duke University, Durham, NC, USA.
  • Chiang CH; Biomedical Engineering, Duke University, Durham, NC, USA.
  • Wang C; Biomedical Engineering, Duke University, Durham, NC, USA.
  • Williams AJ; Biomedical Engineering, Duke University, Durham, NC, USA.
  • Evans CL; Center for Perioperative Organ Protection, Department of Anesthesiology, Duke University, Durham, USA.
  • Turner DA; Biomedical Engineering, Duke University, Durham, NC, USA.
  • Viventi J; Neurosurgery, Neurobiology, Duke University, Durham, USA.
  • Hoffmann U; Research and Surgery Services, Durham VAMC, Durham, USA.
Commun Biol ; 7(1): 263, 2024 Mar 04.
Article in En | MEDLINE | ID: mdl-38438529
ABSTRACT
Spreading depolarizations (SDs) are widely recognized as a major contributor to the progression of tissue damage from ischemic stroke even if blood flow can be restored. They are characterized by negative intracortical waveforms of up to -20 mV, propagation velocities of 3 - 6 mm/min, and massive disturbance of membrane ion homeostasis. High-density, micro-electrocorticographic (µECoG) epidural electrodes and custom, DC-coupled, multiplexed amplifiers, were used to continuously characterize and monitor SD and µECoG cortical signal evolution in awake, moving rats over days. This highly innovative approach can define these events over a large brain surface area (~ 3.4 × 3.4 mm), extending across the boundaries of the stroke, and offers sufficient electrode density (60 contacts total per array for a density of 5.7 electrodes / mm2) to measure and determine the origin of SDs in relation to the infarct boundaries. In addition, spontaneous ECoG activity can simultaneously be detected to further define cortical infarct regions. This technology allows us to understand dynamic stroke evolution and provides immediate cortical functional activity over days. Further translational development of this approach may facilitate improved treatment options for acute stroke patients.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stroke / Ischemic Stroke Limits: Animals / Humans Language: En Journal: Commun Biol Year: 2024 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stroke / Ischemic Stroke Limits: Animals / Humans Language: En Journal: Commun Biol Year: 2024 Document type: Article Affiliation country: Estados Unidos