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Younes M. Evaluation of Sleep Quality in Clinical Practice. Sleep Med Clin 2025; 20:25-45. [PMID: 39894597 DOI: 10.1016/j.jsmc.2024.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2025]
Abstract
A major problem in clinical sleep medicine is that the most comprehensive and sophisticated investigative tool, the polysomnography, fails to provide a reason for the patient's complaints in all but those with sleep apnea and movement disorders. The reasons why conventional metrics of sleep quality are of limited value are discussed in detail. This is followed by description of several well-established features that have not been implemented in clinical practice because of the impracticality of doing the measurements visually. Automation is pending. Finally, several automated features recently derived from spectral analysis of the electroencephalogram were described.
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Affiliation(s)
- Magdy Younes
- Department of Medicine, University of Manitoba, 1105-255 Wellington Crescent, Winnipeg, Manitoba, R3M 3V4 Canada.
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2
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Legé D, Murgat PH, Chabanne R, Lagarde K, Magand C, Payen JF, Prud’homme M, Launey Y, Gergelé L. Cerebral compliance assessment from intracranial pressure waveform analysis: Is a positional shift-related increase in intracranial pressure predictable? PLoS One 2024; 19:e0316167. [PMID: 39775319 PMCID: PMC11684684 DOI: 10.1371/journal.pone.0316167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Accepted: 12/06/2024] [Indexed: 01/11/2025] Open
Abstract
Real-time monitoring of intracranial pressure (ICP) is a routine part of neurocritical care in the management of brain injury. While mainly used to detect episodes of intracranial hypertension, the ICP signal is also indicative of the volume-pressure relationship within the cerebrospinal system, often referred to as intracranial compliance (ICC). Several ICP signal descriptors have been proposed in the literature as surrogates of ICC, but the possibilities of combining these are still unexplored. In the present study, a rapid ICC assessment consisting of a 30-degree postural shift was performed on a cohort of 54 brain-injured patients. 73 ICP signal features were calculated over the 20 minutes prior to the ICC test. After a selection step, different combinations of these features were provided as inputs to classification models. The goal was to predict the level of induced ICP elevation, which was categorized into three classes: less than 7 mmHg ("good ICC"), between 7 and 10 mmHg ("medium ICC"), and more than 10 mmHg ("poor ICC"). A logistic regression model fed with a combination of 5 ICP signal features discriminated the "poor ICC" class with an area under the receiving operator curve (AUROC) of 0.80 (95%-CI: [0.73-0.87]). The overall one-versus-one classification task was achieved with an averaged AUROC of 0.72 (95%-CI: [0.61-0.83]). Adding more features to the input set and/or using nonlinear machine learning algorithms did not significantly improve classification performance. This study highlights the potential value of analyzing the ICP signal independently to extract information about ICC status. At the patient's bedside, such univariate signal analysis could be implemented without dependence on a specific setup.
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Affiliation(s)
- Donatien Legé
- DISC Department, FEMTO-ST, Université de Franche-Comté, Besançon, France
- Sophysa, Orsay, France
| | - Pierre-Henri Murgat
- Department of Anesthesia and Intensive Care, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Russell Chabanne
- Department of Anaesthesia, Critical Care Medicine and Perioperative Medicine, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France
| | - Kevin Lagarde
- Department of Anesthesia and Critical Care, University of Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France
| | - Clément Magand
- Department of Anesthesia and Intensive Care, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Jean-François Payen
- Department of Anesthesia and Critical Care, University of Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France
| | | | - Yoann Launey
- Department of Anaesthesia, Critical Care Medicine and Perioperative Medicine, University Hospital of Rennes, Rennes, France
| | - Laurent Gergelé
- Department of Intensive Care, Ramsay Générale de Santé, Hôpital privé de la Loire, Saint Etienne, France
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3
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Wu J, Ren R, Chen T, Su LD, Tang T. Neuroimmune and neuroinflammation response for traumatic brain injury. Brain Res Bull 2024; 217:111066. [PMID: 39241894 DOI: 10.1016/j.brainresbull.2024.111066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/18/2024] [Accepted: 09/02/2024] [Indexed: 09/09/2024]
Abstract
Traumatic brain injury (TBI) is one of the major diseases leading to mortality and disability, causing a serious disease burden on individuals' ordinary lives as well as socioeconomics. In primary injury, neuroimmune and neuroinflammation are both responsible for the TBI. Besides, extensive and sustained injury induced by neuroimmune and neuroinflammation also prolongs the course and worsens prognosis of TBI. Therefore, this review aims to explore the role of neuroimmune, neuroinflammation and factors associated them in TBI as well as the therapies for TBI. Thus, we conducted by searching PubMed, Scopus, and Web of Science databases for articles published between 2010 and 2023. Keywords included "traumatic brain injury," "neuroimmune response," "neuroinflammation," "astrocytes," "microglia," and "NLRP3." Articles were selected based on relevance and quality of evidence. On this basis, we provide the cellular and molecular mechanisms of TBI-induced both neuroimmune and neuroinflammation response, as well as the different factors affecting them, are introduced based on physiology of TBI, which supply a clear overview in TBI-induced chain-reacting, for a better understanding of TBI and to offer more thoughts on the future therapies for TBI.
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Affiliation(s)
- Junyun Wu
- Neuroscience Care Unit, Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China
| | - Reng Ren
- Neuroscience Care Unit, Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China
| | - Tao Chen
- Neuroscience Care Unit, Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China
| | - Li-Da Su
- Neuroscience Care Unit, Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China.
| | - Tianchi Tang
- Department of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China.
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4
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Zhou S, Gao X, Park G, Yang X, Qi B, Lin M, Huang H, Bian Y, Hu H, Chen X, Wu RS, Liu B, Yue W, Lu C, Wang R, Bheemreddy P, Qin S, Lam A, Wear KA, Andre M, Kistler EB, Newell DW, Xu S. Transcranial volumetric imaging using a conformal ultrasound patch. Nature 2024; 629:810-818. [PMID: 38778234 PMCID: PMC11875229 DOI: 10.1038/s41586-024-07381-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 04/02/2024] [Indexed: 05/25/2024]
Abstract
Accurate and continuous monitoring of cerebral blood flow is valuable for clinical neurocritical care and fundamental neurovascular research. Transcranial Doppler (TCD) ultrasonography is a widely used non-invasive method for evaluating cerebral blood flow1, but the conventional rigid design severely limits the measurement accuracy of the complex three-dimensional (3D) vascular networks and the practicality for prolonged recording2. Here we report a conformal ultrasound patch for hands-free volumetric imaging and continuous monitoring of cerebral blood flow. The 2 MHz ultrasound waves reduce the attenuation and phase aberration caused by the skull, and the copper mesh shielding layer provides conformal contact to the skin while improving the signal-to-noise ratio by 5 dB. Ultrafast ultrasound imaging based on diverging waves can accurately render the circle of Willis in 3D and minimize human errors during examinations. Focused ultrasound waves allow the recording of blood flow spectra at selected locations continuously. The high accuracy of the conformal ultrasound patch was confirmed in comparison with a conventional TCD probe on 36 participants, showing a mean difference and standard deviation of difference as -1.51 ± 4.34 cm s-1, -0.84 ± 3.06 cm s-1 and -0.50 ± 2.55 cm s-1 for peak systolic velocity, mean flow velocity, and end diastolic velocity, respectively. The measurement success rate was 70.6%, compared with 75.3% for a conventional TCD probe. Furthermore, we demonstrate continuous blood flow spectra during different interventions and identify cascades of intracranial B waves during drowsiness within 4 h of recording.
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Affiliation(s)
- Sai Zhou
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Xiaoxiang Gao
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Geonho Park
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Xinyi Yang
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Baiyan Qi
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Muyang Lin
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Hao Huang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Yizhou Bian
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Hongjie Hu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Xiangjun Chen
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Ray S Wu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Boyu Liu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Wentong Yue
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Chengchangfeng Lu
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Ruotao Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Pranavi Bheemreddy
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Siyu Qin
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Arthur Lam
- Department of Anesthesiology and Critical Care, University of California San Diego, La Jolla, CA, USA
| | - Keith A Wear
- U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Michael Andre
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Erik B Kistler
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - David W Newell
- Department of Neurosurgery, Seattle Neuroscience Institute, Seattle, WA, USA
| | - Sheng Xu
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Radiology, University of California San Diego, La Jolla, CA, USA.
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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Teo EJ, Petautschnig S, Hellerstedt J, Grace SA, Savage JS, Fafiani B, Smith PD, Jhamb A, Haydon T, Dixon B. Cerebrovascular Responses in a Patient with Lundberg B Waves Following Subarachnoid Haemorrhage Assessed with a Novel Non-Invasive Brain Pulse Monitor: A Case Report. MEDICAL DEVICES-EVIDENCE AND RESEARCH 2024; 17:73-87. [PMID: 38404631 PMCID: PMC10886819 DOI: 10.2147/mder.s452938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/09/2024] [Indexed: 02/27/2024] Open
Abstract
Subarachnoid haemorrhage (SAH) can trigger a range of poorly understood cerebrovascular responses that may play a role in delayed cerebral ischemia. The brain pulse monitor is a novel non-invasive device that detects a brain photoplethysmography signal that provides information on intracranial pressure (ICP), compliance, blood flow and tissue oxygen saturation. We monitored the cerebrovascular responses in a patient with Lundberg B waves following a SAH. The patient presented with a Fischer grade 4 SAH that required urgent left posterior communicating artery aneurysm coiling and ventricular drain insertion. On hospital day 4 oscillations or spikes on the invasive ICP were noted, consistent with Lundberg B waves. Brain pulse monitoring demonstrated concurrent pulse waveform features consistent with reduced brain compliance and raised ICP over both brain hemispheres. Oxygen levels also demonstrated slow oscillations correlated with the ICP spikes. Brief infrequent episodes of reduced and absent brain pulses were also noted over the right hemisphere. Our findings suggest that the brain pulse monitor holds promise for early detection of delayed cerebral ischemia and could offer insights into the vascular mechanisms at play.
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Affiliation(s)
- Elliot John Teo
- Cyban Pty Ltd, Melbourne, Victoria, Australia
- Department of Critical Care Medicine, St Vincent’s Hospital, Melbourne, Victoria, Australia
| | - Sigrid Petautschnig
- Cyban Pty Ltd, Melbourne, Victoria, Australia
- Department of Critical Care Medicine, St Vincent’s Hospital, Melbourne, Victoria, Australia
| | | | | | | | | | - Paul Daniel Smith
- Department of Neurosurgery, St Vincent’s Hospital, Melbourne, Victoria, Australia
- University of Melbourne Medical School, Melbourne, VIC, Australia
| | - Ashu Jhamb
- Department of Medical Imaging, St Vincent’s Hospital, Melbourne, Victoria, Australia
| | - Timothy Haydon
- Department of Critical Care Medicine, St Vincent’s Hospital, Melbourne, Victoria, Australia
- Department of Critical Care, the University of Melbourne, Melbourne, VIC, Australia
| | - Barry Dixon
- Cyban Pty Ltd, Melbourne, Victoria, Australia
- Department of Medical Imaging, St Vincent’s Hospital, Melbourne, Victoria, Australia
- Department of Critical Care, the University of Melbourne, Melbourne, VIC, Australia
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Peters ME, Lyketsos CG. The glymphatic system's role in traumatic brain injury-related neurodegeneration. Mol Psychiatry 2023; 28:2707-2715. [PMID: 37185960 DOI: 10.1038/s41380-023-02070-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 05/17/2023]
Abstract
In at least some individuals who suffer a traumatic brain injury (TBI), there exists a risk of future neurodegenerative illness. This review focuses on the association between the brain-based paravascular drainage pathway known as the "glymphatic system" and TBI-related neurodegeneration. The glymphatic system is composed of cerebrospinal fluid (CSF) flowing into the brain parenchyma along paravascular spaces surrounding penetrating arterioles where it mixes with interstitial fluid (ISF) before being cleared along paravenous drainage pathways. Aquaporin-4 (AQP4) water channels on astrocytic end-feet appear essential for the functioning of this system. The current literature linking glymphatic system disruption and TBI-related neurodegeneration is largely based on murine models with existing human research focused on the need for biomarkers of glymphatic system function (e.g., neuroimaging modalities). Key findings from the existing literature include evidence of glymphatic system flow disruption following TBI, mechanisms of this decreased flow (i.e., AQP4 depolarization), and evidence of protein accumulation and deposition (e.g., amyloid β, tau). The same studies suggest that glymphatic dysfunction leads to subsequent neurodegeneration, cognitive decline, and/or behavioral change although replication in humans is needed. Identified emerging topics from the literature are as follows: link between TBI, sleep, and glymphatic system dysfunction; influence of glymphatic system disruption on TBI biomarkers; and development of novel treatments for glymphatic system disruption following TBI. Although a burgeoning field, more research is needed to elucidate the role of glymphatic system disruption in TBI-related neurodegeneration.
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Affiliation(s)
- Matthew E Peters
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Constantine G Lyketsos
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Zhu J, Shan Y, Li Y, Liu J, Wu X, Gao G. Spindle wave in intracranial pressure signal analysis for patients with traumatic brain injury: A single-center prospective observational cohort study. Front Physiol 2023; 13:1043328. [PMID: 36699681 PMCID: PMC9868554 DOI: 10.3389/fphys.2022.1043328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/28/2022] [Indexed: 01/11/2023] Open
Abstract
Objective: Intracranial pressure (ICP) monitoring is an integral part of the multimodality monitoring system in the neural intensive care unit. The present study aimed to describe the morphology of the spindle wave (a shuttle shape with wide middle and narrow ends) during ICP signal monitoring in TBI patients and to investigate its clinical significance. Methods: Sixty patients who received ICP sensor placement and admitted to the neurosurgical intensive care unit between January 2021 and September 2021 were prospectively enrolled. The patient's Glasgow Coma Scale (GCS) score on admission and at discharge and length of stay in hospital were recorded. ICP monitoring data were monitored continuously. The primary endpoint was 6-month Glasgow Outcome Scale-Extended (GOSE) score. Patients with ICP spindle waves were assigned to the spindle wave group and those without were assigned to the control group. The correlation between the spindle wave and 6-month GOSE was analyzed. Meanwhile, the mean ICP and two ICP waveform-derived indices, ICP pulse amplitude (AMP) and correlation coefficient between AMP and ICP (RAP) were comparatively analyzed. Results: There were no statistically significant differences between groups in terms of age (p = 0.89), gender composition (p = 0.62), and GCS score on admission (p = 0.73). Patients with spindle waves tended to have a higher GCS score at discharge (12.75 vs. 10.90, p = 0.01), a higher increment in GCS score during hospitalization (ΔGCS, the difference between discharge GCS score and admission GCS score) (4.95 vs. 2.80, p = 0.01), and a better 6-month GOSE score (4.90 vs. 3.68, p = 0.04) compared with the control group. And the total duration of the spindle wave was positively correlated with 6-month GOSE (r = 0.62, p = 0.004). Furthermore, the parameters evaluated during spindle waves, including mean ICP, AMP, and RAP, demonstrated significant decreases compared with the parameters before the occurrence of the spindle wave (all p < 0.025). Conclusion: The ICP spindle wave was associated with a better prognosis in TBI patients. Physiological parameters such as ICP, AMP, and RAP were significantly improved when spindle waves occurred, which may explain the enhancement of clinical outcomes. Further studies are needed to investigate the pathophysiological mechanisms behind this wave.
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Affiliation(s)
- Jun Zhu
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingchi Shan
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yihua Li
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaqi Liu
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiang Wu
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Xiang Wu, ; Guoyi Gao,
| | - Guoyi Gao
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Head Trauma Institute, Shanghai, China,*Correspondence: Xiang Wu, ; Guoyi Gao,
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Black RD, Chaparro E. Time-varying caloric vestibular stimulation for the treatment of neurodegenerative disease. Front Aging Neurosci 2022; 14:1049637. [DOI: 10.3389/fnagi.2022.1049637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/26/2022] [Indexed: 11/11/2022] Open
Abstract
Time-varying caloric vestibular stimulation (tvCVS) is a new form of non-invasive neuromodulation similar to, but different from, diagnostic caloric vestibular stimulation (CVS). Using a non-invasive, solid-state delivery device, tvCVS has been successfully used in a human clinical trial with Parkinson’s disease (PD) subjects. Additionally, the effects of tvCVS on brain activation have been studied in healthy human subjects using transcranial Doppler sonography (TCD) and functional magnetic resonance imaging (BOLD fMRI). A novel finding in the TCD and fMRI studies was the induction of cerebral blood flow velocity (CBFv) oscillations. How such oscillations might lead to the observed clinical effects seen in PD subjects will be discussed. Enabling studies of tvCVS with rodents is an attractive goal in support of explorations of the mechanism of action. Male Wistar rats were used in a proof-of-concept study described herein. Rats were anesthetized (isoflurane) and ventilated for the duration of the tvCVS runs. Time-varying thermal stimuli were administered using a digital temperature controller to modulate Peltier-type heater/cooler devices. Blunt ear bars conveyed the thermal stimulus to the external ear canals of the rats. Different thermal waveform combinations were evaluated for evidence of successful induction of the CVS effect. It was found that bilateral triangular thermal waveforms could induce oscillations in CBFv both during and after the application of tvCVS. These oscillations were similar to, but different from those observed in awake human subjects. The establishment of a viable animal model for the study of tvCVS will augment ongoing clinical investigations of this new form of neuromodulation in patients with neurodegenerative disease.
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