ORIGINAL RESEARCH article

Front. Neurosci.

Sec. Neuroscience Methods and Techniques

Volume 19 - 2025 | doi: 10.3389/fnins.2025.1565255

This article is part of the Research TopicNeuroengineering for health and disease: a multi-scale approachView all 5 articles

Dynamic Electrophysiological Changes in Abnormal Brain Cavities Post-Ischemic Stroke

Provisionally accepted
UGUR  KILICUGUR KILIC1,2*Myles  Mc LaughlinMyles Mc Laughlin2Zhengdao  DengZhengdao Deng1*Marjolijn  DeprezMarjolijn Deprez1Nina  SeminckNina Seminck2Boateng  AsamoahBoateng Asamoah2,3Bart  NuttinBart Nuttin1,4
  • 1Leuven Brain Institute, KU Leuven, Leuven, Belgium
  • 2Laboratory for Experimental Otorinolaryngology, Department of Neurosciences, Faculty of Medicine, KU Leuven, Leuven, Belgium
  • 3Center for Neuroscience, College of Biological Sciences, University of California, Davis, Davis, California, United States
  • 4Department of Neurosurgery, University Hospitals Leuven, Leuven, Brussels, Belgium

The final, formatted version of the article will be published soon.

Stroke is a global health challenge and the leading cause of long-term disability. While survival rates have improved, effective treatments for post-stroke impairments remain lacking. A novel approach to address this unmet need involves targeting the cavities that develop after ischemic events, referred to as abnormal brain cavities (ABCs), for post-stroke neuromodulation. Despite their potential significance, ABCs have not been systematically studied, creating a gap in understanding their role in recovery and therapeutic strategies. This study represents the first investigation into the electrophysiological properties of ABC walls. To explore this, we developed an ABC model in anesthesized rats (male, n = 11) through controlled aspirations of the forelimb area of the motor cortex. We recorded local field potentials (LFPs), event-related potentials (ERP), and spiking activity across various conditions, including healthy, acute, and chronic phases from different anatomical locations of the ABC wall. Our findings revealed significant effects of both location and condition on oscillatory power across different frequency bands. We observed significant decreases in power across different conditions (p < 0.0001), and this decrease varied in different locations. Similarly, our analysis showed significant effects of location and condition on ERP amplitudes, revealing a marked reduction in the acute phase (p = 0.001), followed by recovery in the chronic phase (p = 0.007). As the condition progressed to the chronic phase, these ERPs had shorter latencies (p < 0.0001). Notably, our results demonstrated that spiking rates remained consistent, across different conditions. This near-normal single-unit activity suggests that the ABC wall has the potential to serve as an effective interface for neuromodulation. Additionally, the significant effects of location on our outcome measures indicates that, location-specific electrophysiologic signatures exist within the ABC wall, which could guide targeted stimulation strategies. Overall, this study underscores the need for further research into stimulation techniques targeting ABCs to facilitate recovery in stroke patients, as the ABC wall presents a promising opportunity for direct access to lesioned brain areas.

Keywords: stroke recovery1, encephalomalacia2, oscillatory power3, cortical lesions4, local field potentials5, event-related potentials6

Received: 22 Jan 2025; Accepted: 17 Apr 2025.

Copyright: © 2025 KILIC, Mc Laughlin, Deng, Deprez, Seminck, Asamoah and Nuttin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
UGUR KILIC, Leuven Brain Institute, KU Leuven, Leuven, Belgium
Zhengdao Deng, Leuven Brain Institute, KU Leuven, Leuven, Belgium

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