Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet).
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| Title: | Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet). |
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| Authors: | Kostoglou K; Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.; Institute of Neural Engineering, Graz University of Technology, Graz, Austria., Bello-Robles F; Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago, Chile., Brassard P; Department of Kinesiology, Faculty of Medicine, Université Laval, Quebec, QC, Canada.; Research Center of the Institut universitaire de cardiologie et de pneumologie de Québec, Quebec, QC, Canada., Chacon M; Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago, Chile., Claassen JA; Department of Geriatrics, Radboud University Medical Center, Research Institute for Medical Innovation and Donders Institute, Nijmegen, The Netherlands.; Cerebral Haemodynamics in Ageing and Stroke Medicine (CHiASM), Department of Cardiovascular Sciences, University of Leicester, Leicester, UK., Czosnyka M; Department of Clinical Neurosciences, Neurosurgery Department, University of Cambridge, Cambridge, UK., Elting JW; Department of Neurology and Clinical Neurophysiology, University Medical Center Groningen, Groningen, The Netherlands., Hu K; Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA., Labrecque L; Department of Kinesiology, Faculty of Medicine, Université Laval, Quebec, QC, Canada.; Research Center of the Institut universitaire de cardiologie et de pneumologie de Québec, Quebec, QC, Canada., Liu J; Laboratory for Engineering and Scientific Computing, Institute of Advanced Computing and Digital Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Marmarelis VZ; Department Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA., Payne SJ; Institute of Applied Mechanics, National Taiwan University, Taipei, Taiwan., Shin DC; Department Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA., Simpson D; Institute of Sound and Vibration Research, University of Southampton, Southampton, UK., Smirl J; Cerebrovascular Concussion Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.; Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada., Panerai RB; Cerebral Haemodynamics in Ageing and Stroke Medicine (CHiASM), Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.; NIHR Leicester Biomedical Research Centre, British Heart Foundation, Glenfield Hospital, Leicester, UK., Mitsis GD; Department of Bioengineering, McGill University, Montreal, QC, Canada. |
| Source: | Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism [J Cereb Blood Flow Metab] 2024 Sep; Vol. 44 (9), pp. 1480-1514. Date of Electronic Publication: 2024 Apr 30. |
| Publication Type: | Journal Article; Review; Consensus Statement; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: SAGE Publications Country of Publication: United States NLM ID: 8112566 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-7016 (Electronic) Linking ISSN: 0271678X NLM ISO Abbreviation: J Cereb Blood Flow Metab Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1559-7016 |
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| DOI: | 10.1177/0271678X241249276 |
