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Sysoev YI, Okovityi SV. Prospects of Electrocorticography in Neuropharmacological Studies in Small Laboratory Animals. Brain Sci 2024; 14:772. [PMID: 39199466 PMCID: PMC11353129 DOI: 10.3390/brainsci14080772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 07/24/2024] [Accepted: 07/29/2024] [Indexed: 09/01/2024] Open
Abstract
Electrophysiological methods of research are widely used in neurobiology. To assess the bioelectrical activity of the brain in small laboratory animals, electrocorticography (ECoG) is most often used, which allows the recording of signals directly from the cerebral cortex. To date, a number of methodological approaches to the manufacture and implantation of ECoG electrodes have been proposed, the complexity of which is determined by experimental tasks and logistical capabilities. Existing methods for analyzing bioelectrical signals are used to assess the functional state of the nervous system in test animals, as well as to identify correlates of pathological changes or pharmacological effects. The review presents current areas of applications of ECoG in neuropharmacological studies in small laboratory animals. Traditionally, this method is actively used to study the antiepileptic activity of new molecules. However, the possibility of using ECoG to assess the neuroprotective activity of drugs in models of traumatic, vascular, metabolic, or neurodegenerative CNS damage remains clearly underestimated. Despite the fact that ECoG has a number of disadvantages and methodological difficulties, the recorded data can be a useful addition to traditional molecular and behavioral research methods. An analysis of the works in recent years indicates a growing interest in the method as a tool for assessing the pharmacological activity of psychoactive drugs, especially in combination with classification and prediction algorithms.
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Affiliation(s)
- Yuriy I. Sysoev
- Pavlov Institute of Physiology, Russian Academy of Sciences (RAS), Saint Petersburg 199034, Russia
- Department of Neuroscience, Sirius University of Science and Technology, Sirius Federal Territory 354340, Russia
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
| | - Sergey V. Okovityi
- Department of Pharmacology and Clinical Pharmacology, Saint Petersburg State Chemical Pharmaceutical University, Saint Petersburg 197022, Russia;
- N.P. Bechtereva Institute of the Human Brain, Saint Petersburg 197022, Russia
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Coenen J, Reinsberger C. Neurophysiological Markers to Guide Return to Sport After Sport-Related Concussion. J Clin Neurophysiol 2023; 40:391-397. [PMID: 36930211 DOI: 10.1097/wnp.0000000000000996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
SUMMARY Sport-related concussion (SRC) has been defined as a subset of mild traumatic brain injury (mTBI), without structural abnormalities, reflecting a functional disturbance. Over the past decade, SRC has gained increasing awareness and attention, which coincides with an increase in incidence rates. Because this injury has been considered one of the most challenging encounters for clinicians, there is a need for objective biomarkers to aid in diagnosis (i.e., presence/severity) and management (i.e., return to sport) of SRC/mTBI.The primary aim of this article was to present state-of-the-art neurophysiologic methods (e.g., electroencephalography, magnetoencephalography, transcranial magnetic stimulation, and autonomic nervous system) that are appropriate to investigate the complex pathophysiological process of a concussion. A secondary aim was to explore the potential for evidence-based markers to be used in clinical practice for SRC management. The article concludes with a discussion of future directions for SRC research with specific focus on clinical neurophysiology.
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Affiliation(s)
- Jessica Coenen
- Department of Exercise and Health, Institute of Sports Medicine, Paderborn University, Paderborn, Germany; and
| | - Claus Reinsberger
- Department of Exercise and Health, Institute of Sports Medicine, Paderborn University, Paderborn, Germany; and
- Department of Neurology, Division of Epilepsy and Clinical Neurophysiology, Brigham and Women's Hospital, Boston, Massachusetts
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Corbin-Berrigan LA, Teel E, Vinet SA, P De Koninck B, Guay S, Beaulieu C, De Beaumont L. The Use of Electroencephalography as an Informative Tool in Assisting Early Clinical Management after Sport-Related Concussion: a Systematic Review. Neuropsychol Rev 2023; 33:144-159. [PMID: 32577950 DOI: 10.1007/s11065-020-09442-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 06/07/2020] [Indexed: 12/21/2022]
Abstract
Sport-related concussion (SRC) is managed primarily through serial clinical evaluations throughout recovery. However, studies suggest that clinical measures may not be suitable to detect subtle alterations in functioning and are limited by numerous internal and external factors. Electroencephalography (EEG) has been used for over eight decades to discern altered function following illnesses and injuries, including traumatic brain injury. This study evaluated the associations between EEG measures and clinical presentation within three-months following SRC. A systematic review of the literature was performed in Medline, Embase, PsycINFO, CINAHL and Web of Science databases following Preferred Reporting Items for Systematic Reviews and Meta Analyses guidelines, yielding a total of 13 peer-reviewed articles. Most studies showed low to moderate bias and moderate to high quality. The majority of the existing literature on the impact of concussion within the first 3 months post-injury suggests that individuals with concussion show altered brain function, with EEG abnormalities outlasting clinical dysfunction. Of all EEG biomarkers evaluated, P300 shows the most promise and should be explored further. Despite the relatively high quality of included articles, significant limitations are still present within this body of literature, including potential conflicts of interest and proprietary algorithms, making it difficult to draw strong and meaningful conclusions on the use of EEG in the early stages of SRC. Therefore, further exploration of the relationship between EEG measures and acute clinical presentation is warranted to determine if EEG provides additional benefits over current clinical assessments and is a feasible tool in clinical settings.
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Affiliation(s)
- Laurie-Ann Corbin-Berrigan
- Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada.,Research Center, CIUSSS du Nord-de-l'Île-de-Montréal, Montréal, Quebec, Canada
| | | | | | - Béatrice P De Koninck
- Research Center, CIUSSS du Nord-de-l'Île-de-Montréal, Montréal, Quebec, Canada.,Université de Montréal, Montréal, Quebec, Canada
| | - Samuel Guay
- Research Center, CIUSSS du Nord-de-l'Île-de-Montréal, Montréal, Quebec, Canada.,Université de Montréal, Montréal, Quebec, Canada
| | | | - Louis De Beaumont
- Research Center, CIUSSS du Nord-de-l'Île-de-Montréal, Montréal, Quebec, Canada. .,Université de Montréal, Montréal, Quebec, Canada.
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Mortazavi M, Lucini FA, Joffe D, Oakley DS. Electrophysiological trajectories of concussion recovery: From acute to prolonged stages in late teenagers. J Pediatr Rehabil Med 2023; 16:287-299. [PMID: 36710690 PMCID: PMC10894572 DOI: 10.3233/prm-210114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 10/17/2022] [Indexed: 01/25/2023] Open
Abstract
PURPOSE Numerous studies have reported electrophysiological differences between concussed and non-concussed groups, but few studies have systematically explored recovery trajectories from acute concussion to symptom recovery and the transition from acute concussion to prolonged phases. Questions remain about recovery prognosis and the extent to which symptom resolution coincides with injury resolution. This study therefore investigated the electrophysiological differences in recoveries between simple and complex concussion. METHODS Student athletes with acute concussion from a previous study (19(2) years old) were tracked from pre-injury baseline, 24-48 hours after concussion, and through in-season recovery. The electroencephalography (EEG) with P300 evoked response trajectories from this acute study were compared to an age-matched population of 71 patients (18(2) years old) with prolonged post-concussive symptoms (PPCS), 61 (SD 31) days after concussion. RESULTS Acute, return-to-play, and PPCS groups all experienced a significant deficit in P300 amplitude compared to the pre-injury baseline group. The PPCS group, however, had significantly different EEG spectral and coherence patterns from every other group. CONCLUSION These data suggest that while the evoked response potentials deficits of simple concussion may persist in more prolonged stages, there are certain EEG measures unique to PPCS. These metrics are readily accessible to clinicians and may provide useful parameters to help predict trajectories, characterize injury (phenotype), and track the course of injury.
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Affiliation(s)
- Mo Mortazavi
- SPARCC Sports Medicine, Rehabilitation, and Concussion Center, Tucson, AZ, USA
- Department of Pediatrics, Tucson Medical Center, Tucson, AZ, USA
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Jacob D, Unnsteinsdóttir Kristensen IS, Aubonnet R, Recenti M, Donisi L, Ricciardi C, Svansson HÁR, Agnarsdóttir S, Colacino A, Jónsdóttir MK, Kristjánsdóttir H, Sigurjónsdóttir HÁ, Cesarelli M, Eggertsdóttir Claessen LÓ, Hassan M, Petersen H, Gargiulo P. Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea). Sci Rep 2022; 12:8996. [PMID: 35637235 PMCID: PMC9151646 DOI: 10.1038/s41598-022-12822-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 05/16/2022] [Indexed: 11/17/2022] Open
Abstract
Current diagnosis of concussion relies on self-reported symptoms and medical records rather than objective biomarkers. This work uses a novel measurement setup called BioVRSea to quantify concussion status. The paradigm is based on brain and muscle signals (EEG, EMG), heart rate and center of pressure (CoP) measurements during a postural control task triggered by a moving platform and a virtual reality environment. Measurements were performed on 54 professional athletes who self-reported their history of concussion or non-concussion. Both groups completed a concussion symptom scale (SCAT5) before the measurement. We analyzed biosignals and CoP parameters before and after the platform movements, to compare the net response of individual postural control. The results showed that BioVRSea discriminated between the concussion and non-concussion groups. Particularly, EEG power spectral density in delta and theta bands showed significant changes in the concussion group and right soleus median frequency from the EMG signal differentiated concussed individuals with balance problems from the other groups. Anterior-posterior CoP frequency-based parameters discriminated concussed individuals with balance problems. Finally, we used machine learning to classify concussion and non-concussion, demonstrating that combining SCAT5 and BioVRSea parameters gives an accuracy up to 95.5%. This study is a step towards quantitative assessment of concussion.
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Affiliation(s)
- Deborah Jacob
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | | | - Romain Aubonnet
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Marco Recenti
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Leandro Donisi
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
- Department of Chemical, Materials and Production Engineering, University of Naples Federico II, Naples, Italy
| | - Carlo Ricciardi
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
| | - Halldór Á R Svansson
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Sólveig Agnarsdóttir
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Andrea Colacino
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
- Department of Computer Engineering, Electrical and Applied Mathematics, University of Salerno, Salerno, Italy
| | - María K Jónsdóttir
- Department of Psychology, School of Social Sciences, Reykjavik University, Reykjavik, Iceland
- Landspitali National University Hospital of Iceland, Reykjavik, Iceland
| | - Hafrún Kristjánsdóttir
- Department of Psychology, School of Social Sciences, Reykjavik University, Reykjavik, Iceland
- Physical Activity, Physical Education, Sport and Health (PAPESH) Research Centre, Sports Science Department, School of Social Sciences, Reykjavik University, Reykjavik, Iceland
| | - Helga Á Sigurjónsdóttir
- Landspitali National University Hospital of Iceland, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Mario Cesarelli
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
- Department of Information Technology and Electrical Engineering, University of Naples, Naples, Italy
| | - Lára Ósk Eggertsdóttir Claessen
- Landspitali National University Hospital of Iceland, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Mahmoud Hassan
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
- MINDig, 35000, Rennes, France
| | - Hannes Petersen
- Department of Anatomy, Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Akureyri Hospital, Akureyri, Iceland
| | - Paolo Gargiulo
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland.
- Department of Science, Landspitali, National University Hospital of Iceland, Reykjavik, Iceland.
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Šarkić B, Douglas JM, Simpson A, Vasconcelos A, Scott BR, Melitsis LM, Spehar SM. Frequency of peripheral vestibular pathology following traumatic brain injury: a systematic review of literature. Int J Audiol 2021; 60:479-494. [PMID: 32907431 DOI: 10.1080/14992027.2020.1811905] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 08/12/2020] [Accepted: 08/12/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To establish the frequency of occurrence of peripheral vestibular dysfunction in adults who have sustained non-blast-related traumatic brain injury (TBI) as measured through the standard audiological vestibular test battery. DESIGN A systematic search of English language literature using MEDLINE, EMBASE, PsycINFO, CINAHL, hand-searching of reference lists and SCOPUS author search was conducted from January 1, 1990 to May 14, 2019. STUDY SAMPLES Twenty-three out of 417 originally identified articles were retained. TBI and peripheral vestibular findings were extracted and synthesised. RESULTS Quality appraisal using the Oxford Centre for Evidence-Based Medicine (OCEBM) revealed Level 2b as the highest level of evidence. None of the primary studies explored vestibular deficits in acute settings, with data collected from tertiary institutions and in 20 of 23 studies retrospectively. Although retrospective studies provided important data, they fail to control for numerous threats to internal validity. BPPV was the most frequently identified peripheral vestibular deficit following TBI, diagnosed in 39.7% of 239 participants across six of 23 studies. CONCLUSIONS Further prospective longitudinal research into comparative recovery trajectories in patients across TBI severity levels would provide additional information to guide clinical diagnosis, prognosis and management of this patient population.
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Affiliation(s)
- Bojana Šarkić
- Discipline of Audiology, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia
| | - Jacinta M Douglas
- School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia
- Summer Foundation, Box Hill, Victoria, Australia
| | - Andrea Simpson
- School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia
| | - Alexandra Vasconcelos
- School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia
| | - Bethany R Scott
- School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia
| | - Lauren M Melitsis
- School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia
| | - Stephanie M Spehar
- School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Victoria, Australia
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