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Mohsenian S, Kouhnavard B, Nami M, Mehdizadeh A, Seif M, Zamanian Z. Effect of temperature reduction of the prefrontal area on accuracy of visual sustained attention. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 2023; 29:1368-1375. [PMID: 36177972 DOI: 10.1080/10803548.2022.2131116] [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: 10/14/2022]
Abstract
Objectives. Detection of sensitive signs in many work environments with automated systems (aviation industry, flight safety tower, maritime industry, monitoring in the military industry, etc.) is essential and requires constant visual attention. Therefore, the aim of this study was to investigate the effect of forehead cooling on the accuracy of stable visual attention. Methods. This interventional study was performed on 34 male students. The sampling method was a randomized block design. Subjects were assessed by demographic questionnaire, Snellen chart, Spielberger state-trait anxiety inventory (STAI) and physiological and cognitive measurements. Results. Prefrontal cortex (PFC) cooling caused significant changes in sublingual temperature during four measurements in the intervention group. There were no significant changes in heart rate, diastolic blood pressure and saturation of peripheral oxygen (%SpO2) between the two groups. The critical flicker frequency (CFF) as an indicator of cognitive fatigue showed that cognitive improvement after PFC cooling occurred following a reduction in cognitive fatigue. Conclusions. Considering the importance of choosing non-invasive methods to improve the operator's cognitive skills while performing cognitive tasks in the field of neuroergonomics, it can be concluded that PFC cooling is an effective and safe way to improve some cognitive skills such as visual attention.
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Affiliation(s)
- Sajjad Mohsenian
- Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Mohammad Nami
- Faculty of Neuroscience, Shiraz University of Medical Sciences, Iran
| | | | - Mojgan Seif
- Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zahra Zamanian
- Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
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2
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Elmer J, Callaway CW. Temperature control after cardiac arrest. Resuscitation 2023; 189:109882. [PMID: 37355091 PMCID: PMC10530429 DOI: 10.1016/j.resuscitation.2023.109882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 06/26/2023]
Abstract
Managing temperature is an important part of post-cardiac arrest care. Fever or hyperthermia during the first few days after cardiac arrest is associated with worse outcomes in many studies. Clinical data have not determined any target temperature or duration of temperature management that clearly improves patient outcomes. Current guidelines and recent reviews recommend controlling temperature to prevent hyperthermia. Higher temperatures can lead to secondary brain injury by increasing seizures, brain edema and metabolic demand. Some data suggest that targeting temperature below normal could benefit select patients where this pathology is common. Clinical temperature management should address the physiology of heat balance. Core temperature reflects the heat content of the head and torso, and changes in core temperature result from changes in the balance of heat production and heat loss. Clinical management of patients after cardiac arrest should include measurement of core temperature at accurate sites and monitoring signs of heat production including shivering. Multiple methods can increase or decrease heat loss, including external and internal devices. Heat loss can trigger compensatory reflexes that increase stress and metabolic demand. Therefore, any active temperature management should include specific pharmacotherapy or other interventions to control thermogenesis, especially shivering. More research is required to determine whether individualized temperature management can improve outcomes.
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Affiliation(s)
- Jonathan Elmer
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Clifton W Callaway
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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3
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Sung D, Rejimon A, Allen JW, Fedorov AG, Fleischer CC. Predicting brain temperature in humans using bioheat models: Progress and outlook. J Cereb Blood Flow Metab 2023; 43:833-842. [PMID: 36883416 PMCID: PMC10196749 DOI: 10.1177/0271678x231162173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 03/09/2023]
Abstract
Brain temperature, regulated by the balance between blood circulation and metabolic heat generation, is an important parameter related to neural activity, cerebral hemodynamics, and neuroinflammation. A key challenge for integrating brain temperature into clinical practice is the lack of reliable and non-invasive brain thermometry. The recognized importance of brain temperature and thermoregulation in both health and disease, combined with limited availability of experimental methods, has motivated the development of computational thermal models using bioheat equations to predict brain temperature. In this mini-review, we describe progress and the current state-of-the-art in brain thermal modeling in humans and discuss potential avenues for clinical applications.
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Affiliation(s)
- Dongsuk Sung
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Abinand Rejimon
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Jason W Allen
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory
University School of Medicine, Atlanta, GA, USA
| | - Andrei G Fedorov
- Woodruff School of Mechanical
Engineering, Georgia Institute of Technology, Atlanta, GA, USA
- Petit Institute for Bioengineering
and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA
| | - Candace C Fleischer
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Petit Institute for Bioengineering
and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA
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Jiang M, Li M, Gao Y, Wu L, Zhao W, Li C, Hou C, Qi Z, Wang K, Zheng S, Yin Z, Wu C, Ji X. The intra-arterial selective cooling infusion system: A mathematical temperature analysis and in vitro experiments for acute ischemic stroke therapy. CNS Neurosci Ther 2022; 28:1303-1314. [PMID: 35702957 PMCID: PMC9344093 DOI: 10.1111/cns.13883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/27/2022] [Accepted: 05/13/2022] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION The neuroprotection of acute ischemic stroke patients can be achieved by intra-arterial selective cooling infusion using cold saline, which can decrease brain temperature without influencing the body core temperature. This approach can lead to high burdens on the heart and decreased hematocrit in the scenario of loading a high amount of liquid for longtime usage. Therefore, autologous blood is utilized as perfusate to circumvent those side effects. METHODS In this study, a prototype instrument with an autologous blood cooling system was developed and further evaluated by a mathematical model for brain temperature estimation. RESULTS Hypothermia could be achieved due to the adequate cooling capacity of the prototype system, which could provide the lowest cooling temperature into the blood vessel of 10.5°C at 25 rpm (209.7 ± 0.8 ml/min). And, the core body temperature did not alter significantly (-0.7 ~ -0.2°C) after 1-h perfusion. The cooling rate and temperature distributions of the brain were analyzed, which showed a 2°C decrease within the initial 5 min infusion by 44 ml/min and 13.7°C perfusate. CONCLUSION This prototype instrument system could safely cool simulated blood in vitro and reperfuse it to the target cerebral blood vessel. This technique could promote the clinical application of an autologous blood perfusion system for stroke therapy.
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Affiliation(s)
- Miaowen Jiang
- School of Instrumentation and Optoelectronic EngineeringBeihang UniversityBeijingChina
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
| | - Ming Li
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
| | - Yuan Gao
- School of Instrumentation and Optoelectronic EngineeringBeihang UniversityBeijingChina
| | - Longfei Wu
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Xuanwu HospitalCapital Medical UniversityBeijingChina
| | - Wenbo Zhao
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Xuanwu HospitalCapital Medical UniversityBeijingChina
| | - Chuanhui Li
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Xuanwu HospitalCapital Medical UniversityBeijingChina
| | - Chengbei Hou
- Center for Evidence‐Based Medicine, Xuanwu HospitalCapital Medical UniversityBeijingChina
| | - Zhengfei Qi
- Beijing Institute for Brain DisordersCapital Medical UniversityBeijingChina
| | - Kun Wang
- School of Instrumentation and Optoelectronic EngineeringBeihang UniversityBeijingChina
| | - Shiqiang Zheng
- School of Instrumentation and Optoelectronic EngineeringBeihang UniversityBeijingChina
| | - Zhichen Yin
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Beijing Institute for Brain DisordersCapital Medical UniversityBeijingChina
| | - Chuanjie Wu
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Xuanwu HospitalCapital Medical UniversityBeijingChina
| | - Xunming Ji
- School of Instrumentation and Optoelectronic EngineeringBeihang UniversityBeijingChina
- Beijing Institute of Geriatrics, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Beijing Institute for Brain DisordersCapital Medical UniversityBeijingChina
- BUAA‐CCMU Advanced Innovation Center for Big Data‐based Precision MedicineBeihang UniversityBeijingChina
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Chen S, Lachance BB, Gao L, Jia X. Targeted temperature management and early neuro-prognostication after cardiac arrest. J Cereb Blood Flow Metab 2021; 41:1193-1209. [PMID: 33444088 PMCID: PMC8142127 DOI: 10.1177/0271678x20970059] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Targeted temperature management (TTM) is a recommended neuroprotective intervention for coma after out-of-hospital cardiac arrest (OHCA). However, controversies exist concerning the proper implementation and overall efficacy of post-CA TTM, particularly related to optimal timing and depth of TTM and cooling methods. A review of the literature finds that optimizing and individualizing TTM remains an open question requiring further clinical investigation. This paper will summarize the preclinical and clinical trial data to-date, current recommendations, and future directions of this therapy, including new cooling methods under investigation. For now, early induction, maintenance for at least 24 hours, and slow rewarming utilizing endovascular methods may be preferred. Moreover, timely and accurate neuro-prognostication is valuable for guiding ethical and cost-effective management of post-CA coma. Current evidence for early neuro-prognostication after TTM suggests that a combination of initial prediction models, biomarkers, neuroimaging, and electrophysiological methods is the optimal strategy in predicting neurological functional outcomes.
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Affiliation(s)
- Songyu Chen
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Brittany Bolduc Lachance
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Liang Gao
- Department of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaofeng Jia
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Orthopedics, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Inducing therapeutic hypothermia via selective brain cooling: a finite element modeling analysis. Med Biol Eng Comput 2019; 57:1313-1322. [PMID: 30756230 DOI: 10.1007/s11517-019-01962-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 02/04/2019] [Indexed: 02/06/2023]
Abstract
Therapeutic hypothermia is a treatment method to reduce brain injuries after stroke, especially for cerebral ischemia. This study investigates in the temperature distribution of the head within selective brain cooling (SBC). Anatomically accurate geometries based on CT images of head and neck regions are used to develop the 3D geometry and physical model for the finite element modeling. Two cooling methods, the direct head surface cooling strategy and the combination cooling strategy of both head and neck, are evaluated to analyze the inducing hypothermia. The results show that for direct head surface cooling, the scalp and skull temperatures decrease significantly as the blood perfusion rate is constrained, but it is hard to affect the brain core temperature. To achieve a lower cerebral temperature, combination cooling strategy of both head and neck is an effective method in improving deep brain cooling. In normal condition, the cerebral temperature is reduced by about 0.12 °C in 60 min of hypothermia, while the temperature drop is approximately 0.98 °C in ischemic condition. Graphical abstract In this study, the 3D geometry of the head and carotid artery model based on the computed tomography (CT) were derived separately and the corresponding investigations were conducted to validate the reliability of the model. Direct head surface cooling strategy and the combination cooling strategy of both the head and neck were numerically researched.
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