Skip to main content
Translational Neuroscience logoLink to Translational Neuroscience
. 2015 Jun 26;6(1):131–138. doi: 10.1515/tnsci-2015-0012

The effect of selective head-neck cooling on physiological and cognitive functions in healthy volunteers

Kevin Jackson 1, Rachael Rubin 1,2, Nicole Van Hoeck 3, Tommy Hauert 1, Valentina Lana 1, Huan Wang 1,2,*
PMCID: PMC4936650  PMID: 28123796

Abstract

In general, brain temperatures are elevated during physical sporting activities; therefore, reducing brain temperature shortly after a sports-related concussion (SRC) could be a promising intervention technique. The main objective of this study was to examine the effects of head and neck cooling on physiological and cognitive function in normal healthy volunteers. Twelve healthy volunteers underwent two different sessions of combined head and neck cooling, one session with a cold pack and one session with a room temperature pack. Physiological measurements included: systolic/diastolic blood pressure, pulse oximetry, heart rate, and sublingual and tympanic temperature. Cognitive assessment included: processing speed, executive function, and working memory tasks. Physiological measurements were taken pre-, mid- and post-cooling, while cognitive assessments were done before and after cooling. The order of the sessions was randomized. There was a significant decrease in tympanic temperature across both sessions; however more cooling occurred when the cold pack was in the device. There was no significant decrease in sublingual temperature across either session. The observed heart rates, pulse oximetry, systolic and diastolic blood pressure during the sessions were all within range of a normal healthy adult. Cognitive assessment remained stable across each session for both pre- and post-cooling.

We propose that optimizing brain temperature management after brain injury using head and neck cooling technology may represent a sensible, practical, and effective strategy to potentially enhance recovery and perhaps minimize the subsequent short and long term consequences from SRC.

Keywords: Athletics, Brain, Concussion, Feasibility, Intervention

Introduction

Traumatic brain injury (TBI) has increasingly become a significant public health problem over the past decade worldwide [1]. Each year, traumatic brain injuries contribute to a substantial number of deaths and cases of permanent disability. In sports, mild traumatic brain injuries (mTBI), or concussions, have been a growing concern from youth to professional levels, mainly due to evidence of short- and long-term consequences from suffering a concussion [27].

An estimated 1.6–3.8 million sports-related TBIs, including those that never get treated by a health professional, occur in the United States annually [8]. However, the majority of TBIs are mild, involving only a brief alteration in consciousness or mental status [9]. TBI is a multifaceted disease with prolonged secondary pathogenesis and potentially long-lasting adverse neurological sequelae [2, 3, 5, 7, 10].

In 2004, our group demonstrated the feasibility and validity of using a specially designed head-neck surface cooling garment (Fig. 1) to accomplish rapid and substantial selective cerebral hypothermia, as well as delayed systemic hypothermia in patients with severe brain injuries [11]. In that study, subjects had an average brain temperature reduction of 1.84°C (range: 0.9 – 2.4°C), which was accomplished within one hour of cooling.

Figure 1.

Figure 1

The WElkins EMT unit and Headliner. The cooling helmet has an outer pneumatic liner pressurized to allow close contact with the cranium and neck. The device also is adjustable to fit a significant range of head sizes.

The head-neck cooling technology may have beneficial effects on brain temperature in the athletic world when body temperature, and presumably brain temperature, are elevated and even more so when the athlete is at an elevated risk for a TBI [12, 13]. In athletics, especially in contact sports like American football, it is commonly reported that the body temperature elevates to 102° – 104°F (38.9 – 40°C) [9, 1417]. Elevated body temperature and repetitive head impacts during the same time frame may result in cumulatively worse concussive and subconcussive brain injuries [8, 1823]. Consistent with this idea, animal data have shown that mild brain temperature elevation induced before and after mTBI results in worsened histopathological outcomes [24], whereas mild hypothermia in animals after repetitive mTBI has beneficial effects [25]. Miyauchi and colleagues subjected rats to repetitive mTBI by impact acceleration injury followed by four different interventional treatment groups: control, mild hypothermia, superoxide dismutase, and Tempol, a nitroxide antioxidant [26]. Cerebral function and axonal damage were analyzed 3–4 hours post-injury. The results showed that mild hypothermia provides axonal and microvascular protection when administered immediately after repetitive mTBI. Furthermore, Sakurai et al and Titus et al., demonstrated, in a rat model, that inducing cooling immediately after mTBI back to normothermia could alleviate long-term cognitive deficits caused by hyperthermia [24, 27]. Thus, research examining the effect of selective head and neck cooling methods in athletes after repetitive mTBI is needed. The long term goal of our research is to develop a simple, non-invasive method of selective head-neck cooling for athletics in which brain/core temperatures can be reduced back to normothermia quickly following mTBI.

This study was designed to assess the safety and tolerability of selective head and neck cooling by measuring associated physiological and cognitive changes to establish its feasibility and to determine the degree to which cooling occurs in healthy adults. The results from this study show that head-neck cooling could lower body temperature without interfering with other physiological and cognitive measures.

Methods

This study was approved by the Institutional Review Board of the University of Illinois, Urbana -Champaign.

Participants

Written consent was obtained from twelve participants (mean age 27 ± 11 years; range 18 to 57 years). Seven participants were female (58%) and 5 males (42%). All were considered healthy with no health issues. Exclusion criteria were: no history of central nervous system disease or prior brain injuries, use of medication to regulate blood pressure, anemia or heart complications.

Cooling device

The WElkins EMT Temperature Management System (Fig. 1) (Welkinsmed, Downers Grove, IL, USA) is a portable thermoregulatory device that reduces and/or maintains subject’s body temperature within a range of 86°F (30°C) to 98.6°F (37°C) [11]. The head-neck cooling technology is engineered to optimize conductive heat exchange with the brain, thereby reducing brain and body temperatures. The integrated layers of the design consist of both a conformal liquid cooling heat exchanger and a pneumatic layer. The pneumatic layer not only provides air counter-pressure to optimize thermal contact with the cranium and neck, but also isolates the liquid cooling heat exchanger layer from the ambient environment (see [11] for detailed description of cooling system).

Temperature and other physiological and cognitive measurements

Temperature measurements

To measure approximate changes in brain temperature, tympanic and sublingual temperatures were recorded. Tympanic temperature was measured with an electronic infrared thermometer (Genius 2 tympanic thermometer, Tyco Healthcare Group, Mansfield, MA, USA). Sublingual temperature was measured by SureTemp Plus 692 (Welch Allyn, Skaneateles Falls, NY, USA).

Other physiological measurements

To monitor participant safety and the impact of cooling on other physiological measures, systolic and diastolic blood pressure, peripheral oxygen saturation, and heart rate were also recorded. Systolic and diastolic blood pressure was measured with an Omron 10 series upper arm Blood Pressure monitor (Omron Healthcare Inc., Lake Forest, IL, USA). Peripheral oxygen saturation and heart rate were measured with a pulse oximeter (NONIN GO2 9570 finger Pulse oximeter, NONIN Medical Inc., Plymouth, MN, USA).

Cognitive Measurements

To measure the impact of cooling on participant’s cognitive abilities, performance on three tasks was assessed using BrainBaseline, a digital application developed by Digital Artefacts LLC (Iowa City, IA, USA), on an iPad (Apple Inc., Cupertino, CA, USA). The cognitive assessment consisted of three tasks that are known to be sensitive to cortical function, especially prefrontal cortical areas. The tasks included: Speed - to measure processing speed [28], Stroop - to measure inhibition and executive function [29], and N-back (1-back and 2-back) - to measure working memory [30]. The same tasks were always administered in the same order: Speed, Stroop, N-Back, and took approximately 10 min to complete.

Once consent was signed, height and weight were taken for each participant for BMI calculation. Participants were allowed to sit and relax for 15 min in order to acclimate to the environment. All baseline levels for temperature and other physiological and cognitive measurements were then recorded. For the session referred to here as “Cold Day,” the WElkins EMT unit was set to maximum cool and a frozen ice pack (4°C) was placed into the unit. For the session referred to here as “Room Temp Day,” the EMT unit was set to bypass mode and a room temperature water pack (72 – 77°C) was placed into the unit. Participants wore the headliner for 60 min on both “Cold Day” and “Room Temperature Day” sessions. The order of the sessions was counterbalanced between participants.

Throughout each session, temperature (tympanic and sublingual), peripheral oxygen saturation and heart rate were recorded every ten min with the last recording at 90 min (except at 70 min when participants were engaged in the post cooling cognitive assessment). Systolic and diastolic blood pressure was recorded every 30 min with the last recording at 90 min. The cognitive assessment was also completed after the EMT unit was turned off at 60 min and at 90 min.

Results

Twelve subjects (Mage = 27 ± 11 years; range 18 to 57 years) were enrolled. We collected full data sets from eleven subjects (Table 1) and present their data below. Analyses were conducted using a commercially available statistical program (SPSS, SPSS Inc., Chicago, IL, USA).

Table 1.

Sublingual and tympanic temperature, systolic and diastolic blood pressure, heart rate, and pulse oximetry, during baseline, 60 min of treatment, and 30 min post treatment in healthy volunteers. BPM - beats per min.

VARIABLE Baseline 10 minutes 20 minutes 30 minutes 40 minutes 50 minutes 60 minutes 80 minutes 90 minutes
SUBLINGUAL (°C) COOLING/CONTROL PHASE
Cooling 36.80 (± 0.14) 36.79 (± 0.18) 36.73 (± 0.13) 36.73 (± 0.19) 36.71 (± 0.21) 36.68 (± 0.13) 36.70 (± 0.10) 36.70 (± 0.09) 36.70 (± 0.12)
Control 36.74 (± 0.12) 36.79 (± 0.13) 36.75 (± 0.15) 36.73 (± 0.13) 36.72 (± 0.12) 36.71 (± 0.14) 36.72 (± 0.11) 36.73 (± 0.09) 36.71 (± 0.08)
TYMPANIC (°C)
Cooling 37.01 (± 0.34) 36.93 (± 0.35) 36.94 (± 0.94) 36.86 (± 0.31) 36.76 (± 0.28) 36.68 (± 0.35) 36.70 (± 0.38) 36.70 (± 0.34) 36.76 (± 0.33)
Control 36.93 (± 0.30) 36.91 (± 0.26) 36.90 (± 0.27) 36.89 (± 0.27) 36.86 (± 0.87) 36.87 (± 0.23) 36.85 (± 0.29) 36.87 (± 0.27) 36.85 (± 0.27)
PULSE Oxygen (%SpO2)
Cooling 97.5 (± 2.0) 97.5 (± 2.0) 97.1 (± 1.0) 97.6 (± 1.0) 97.8 (± 1.4) 97.3 (± 1.8) 97.5 (± 1.6) 97.8 (± 1.6) 97.5 (± 1.8)
Control 97.7 (± 1.1) 97.7 (± 1.1) 97.5 (± 1.2) 97.5 (± 1.2) 97.6 (± 1.2) 97.7 (± 1.7) 98.1 (± 1.1) 98.3 (± 0.78) 98.5 (± 1.0)
HEART RATE (BPM)
Cooling 67.5 (± 8.5) 68.1 (± 10.3) 68.1 (± 10.5) 69.2 (± 10.6) 67.3 (± 11.0) 68.1 (± 10.1) 69.5 (± 9.6) 66.5 (± 10.7) 65.7 (± 10.4)
Control 63.3 (± 11.7) 63.3 (± 10.0) 64.3 (± 9.7) 65.1 (± 8.8) 63.6 (± 10.6) 63.9 (± 11.9) 65.0 (± 9.3) 61.3 (± 11.8) 61.2 (± 11.2)
DIASTOLIC
Cooling 73.1 (± 8.4) 72.8 (± 7.2) 79.3 (± 8.1) 74.9 (± 7.2)
Control 71.3 (± 8.9) 75.0 (± 7.3) 81.1 (± 7.4) 77.1 (± 10.5)
SYSTOLIC
Cooling 112.3 (± 14.3) 109.8 (± 13.7) 115.4 (± 11.7) 108.4 (± 12.1)
Control 108.6 (± 11.5) 110.0 (± 11.9) 117.3 (± 17.0) 111.7 (± 12.0)

Temperature measurements

To determine whether a significant and reliable amount of cooling occurred while wearing the helmet with the frozen ice pack and the room temperature water pack, we performed a two-way repeated measures analysis of variances (ANOVA) on tympanic temperatures with pack type and time-point as factors. The ANOVA revealed a main effect of time-point, F8,80 = 8.062, p < 0.0001, reflecting a decrease in temperature across the duration of both sessions. There was a pack-by-time-point interaction, F8,80 = 2.77, p = 0.052, further revealing that more cooling occurred over the duration of the session when the frozen ice pack was used. The decrease in tympanic temperature when the frozen ice pack was used was −0.036 (± 0.40) at the end of 60 min of wearing the cooling device and −0.028 (± 0.33) at 90 min the end of the session. The decrease in tympanic temperature when the room temperature pack was used was −0.08 (± 0.18) at the end of 60 min of wearing the cooling device and −0.08 (± 0.22) at 90 min the end of the session.

We performed the same analyses on sublingual temperatures with pack type and time-point as factors. The ANOVA revealed a main effect of time-point, F8,80 = 3.21, p = 0.003, reflecting a decrease in temperature across the duration of both sessions; however, there was no interaction with pack type, F8,80 = 0.48, p = 0.86, which suggests tympanic temperatures may be more sensitive to temperature changes related to the cooling helmet. The decrease in sublingual temperature when the cold temperature pack was used was −0.13 (± 0.17) at the end of 60 min of wearing the helmet and −0.12 (± 0.21) at 90 min the end of the session.

The decrease in sublingual temperature when the room temperature pack was used was −0.02 (± 0.11) at the end of 60 min of wearing the helmet and −0.01 (± 0.08) at 90 min the end of the session. To determine when a significant decrease in cooling occurred while wearing the cooling device with the frozen ice pack, we performed planned one-tailed comparisons between tympanic temperature at baseline and the other time-points. There was a significant decrease in tympanic temperature beginning at 30 min and at all later time-points (i.e., 40 min – 90 min), ts (10) ≥ 1.93, ps ≤ 0.041. No significant decreases were observed between tympanic temperature at baseline and other time-points when the room temperature water pack was used, ts (10) ≤ 1.44, ps ≥ 0.091.

Planned one-tailed comparisons between the baseline sublingual temperature and the other time-points were also performed. There was a significant decrease in sublingual temperature beginning at 20 min and at time-points 50 min and later (i.e., 50 – 90 min), ts (10) ≥ 1.99, ps ≤ 0.037. No significant decreases were observed between tympanic temperature at baseline and other time points when the room temperature pack was used, ts (10) ≤ 1.49, ps ≥ 0.084.

Physiological measurements

Descriptive statistics for all physiological measurements, including systolic and diastolic blood pressure, peripheral oxygen saturation, and heart rate, at each time point during “Cold Day” and “Room Temperature Day” are presented in Table 1. All recorded measurements are within the normal values for healthy adults.

Cognitive measurements

To measure the impact of cooling with the frozen ice pack and room temperature water pack on participant’s cognitive abilities, we performed a two-way repeated measures analysis of variances (ANOVA) with pack type and time-point as factors for each of the three tasks: Speed, Stroop, and N-back. The mean performance levels and standard deviations for each task are presented in Table 2. For the Speed task, the ANOVA revealed that mean reaction time on the task did not change as a result of pack type, F1,10 = 1.00, p = 0.34, or time-point, F2,20 = 0.46, p = 0.64, and there was no interaction, F2,20 = 0.59, p = 0.57, suggesting that processing speed remained relatively stable during both sessions. For the Stroop task, the switch cost was calculated by subtracting the reaction time for incongruent trials from congruent trials to obtain a measure of performance. The ANOVA revealed that performance on the task did not change as a result of pack type, F1,10 = 0.15, p = 0.71, or time-point, F2,20 = 1.64, p = 0.22, and there was no interaction, F2,20 = 2.27, p = 0.13, suggesting that inhibition and executive function processes remained relatively stable during both sessions. For the N-back task, percent correct was calculated for the 1-back and 2-back conditions. On the 1-back, the ANOVA revealed a main effect of pack type on accuracy, F1,10 = 10.58, p = 0.01, but not time-point, F2,20 = 1.87, p = 0.19, and there was no interaction, F2,20 = 1.78, p = 0.21. Since there was a main effect of pack type, post hoc comparisons using the Bonferroni correction were performed. These tests revealed no significant differences in accuracy due to pack type at each of the time-points, ts(10) ≤ 2.18, ps ≥ 0.054. It is likely that baseline differences between performance at baseline when the frozen ice pack was used (M = 99.5%) versus when the room temperature water pack was used (M = 94.1%) contributed to the main effect of pack type; however, this also means that the observed variability at baseline was greater than the change in performance as a result of the pack type. On the 2-back, the ANOVA revealed that accuracy on the task did not change as a result of pack type, F1,10 = 1.21, p = 0.30, or time-point, F2,20 = 0.12, p = 0.89, and there was no interaction, F2,20 = 2.42, p = 0.11, suggesting that working memory remained relatively stable during both sessions.

Table 2.

Cognitive tasks administered on BrainBaseline. Speed task measures processing speed performance in milliseconds. Stroop task measures executive function as switch cost in milliseconds. N-Back task, including 1-Back and 2-Back, measures working memory performance accuracy as percent correct.

VARIABLE BASELINE (SD) 60 MINUTES (SD) 90 MINUTES (SD)
SPEED
Cooling 355.7 (± 54.5) 358.0 (± 46.2) 342.9 (± 34.3)
Control 344.8 (± 42.1) 339.9 (± 31.6) 341.6 (± 37.0)
STROOP
Cooling 178.5 (± 85.1) 102.2 (± 69.4) 117.5 (± 60.1)
Control 130.9 (± 125.1) 126.0 (± 56.0) 117.2 (± 76.3)
1-BACK
Cooling 99.5 (± 1.6) 99.0 (± 2.1) 99.5 (± 1.6)
Control 94.1 (± 8.0) 97.6 (± 3.6) 98.6 (± 2.5)
2-BACK
Cooling 94.4 (± 8.0) 90.9 (± 8.4) 92.4 (± 10.9)
Control 94.0 (± 8.4) 95.9 (± 3.6) 96.0 (± 5.0)

Discussion

Successful clinical management of concussions is challenging because of the multiple and complex pathophysiological processes. Therefore, head and neck cooling may be a practical and effective strategy to optimize brain temperature during the acute phase of sports-related concussions, and may potentially enhance the recovery and minimize short and long term cognitive and behavioral complications.

Our study demonstrated temperature decreases occurred when wearing the cooling helmet over the duration of the experiment when the cold pack and room temperature pack were used. More cooling occurred when using the cold pack. Significant differences were observed when the cold pack was used between baseline and time-points after about 30 min, and the difference was maintained over the duration of the session. Significant differences were not observed when the room temperature pack was used between baseline and the individual time-points. Importantly, the decrease in temperature was not associated with disruption in other physiological or cognitive measures.

In general, there are several methods used to accomplish brain cooing and these include intranasal [31], endovascular [32], intravenous infusion of cooled fluids [33], and body surfacing cooling [34]. However, these methods are neither practical nor feasible in athletics, because they would either have to be done by a licensed professional, or would be too cumbersome in the field of play. Thus, selective head and neck cooling is an intriguing alternative.

Sports-related concussions have been a growing issue in sports worldwide and more research has shown the consequences of long-term complications from repetitive hits over a lifetime [4, 5, 7, 35, 36]. Diagnosis and evaluation of a concussion ranges from various cognitive tests [37], MRI [3840], blood biomarkers [41], and specialized equipment [4244]. In summary, there is no golden test that an athlete could take to diagnose a sports concussion. In addition, very little data supports existing treatments for concussions. This is mainly due to the fact that mTBI is a multifaceted disease and is difficult to approach from a singular perspective.

In a previous study, our group showed an average temperature reduction of 1.84°C (range 0.9 – 2.4°C) in patients with severe brain injuries [11]. In the setting of the present study, local cooling is performed with close contact to the external ear. Therefore, tympanic and sublingual readings should be interpreted as a surrogate of a local cooling effect at superficial regions, including skin and the external ear.

Although this may seem like a small drop in temperature, it still may be clinically relevant, especially when treating a sports related mTBI. Recent publications by Miyauchi et al., and Titus et al., demonstrates that mild hypothermia treatment (between 35 and 36°C) immediately after head impact may prove beneficial in the long term because of brain temperature management [25]. This data seems to suggest that in sports like football and boxing where repetitive head impacts are inevitable and body temperatures are elevated, development of a cooling therapeutic protocol for use after practices or games could be invaluable for preservation of long-term brain health. In a recent review that our group wrote, we describe in great detail the use of selective head and neck cooling in athletics, and the powerful impact that it may have specifically on sports related concussions [45].

Exposure to a cold stimulus increases systolic and diastolic blood pressure in healthy volunteers [25, 46, 47]. One study reported an immediate increase in blood pressure with the onset of cooling [47], while another study showed no relevant blood pressure changes [46]. In our study, we show a gradual increase in both systolic and diastolic blood pressure in both sessions. However, this increase in blood pressure was well within the normal of a healthy adult, and was no reason for concern. We did not observe an increase in heart rate or pulse oximetry over that same time. We may assume that the increase in blood pressure in both sessions was due to the fact that each subject wore near infrared spectroscopy (NIRS) probes on the frontal lobes which caused some discomfort over time and this was reported in the comfort questionnaire that each subject answered during the session (data not shown). Further research is necessary to determine cooling effect on blood pressure before this could be possibly used as a therapeutic treatment.

Limitations of the study

This is a small observational study designed to obtain data on the cooling device in healthy humans before investigating the clinical potential for sports-related concussions. It has fulfilled its initial purpose. To lessen the risks of detrimental outcomes from sport-related concussions, a multidisciplinary scientific approach is required. This would include understanding the length of cooling required post-injury to bring temperature back to normothermia, because factors such as body mass index, length of hair and gender may have an effect on cooling. Active and selective brain cooling for sports related concussions merits scientific evaluation for its potential therapeutic benefits as well as any possible drawbacks.

Conclusion

Although thousands of athletes have played contact sports for many years without obvious long-term adverse effects, emerging research and recent recognition of the potentially devastating impact of recurrent mTBIs in athletes has drawn increased media attention. Recent data strongly suggest the damaging synergism between brain temperature elevation and mTBIs, and the role that cerebral hypothermia may have on delineating short-term and long-term complications [24,27,48]. Therefore, optimizing brain temperature management post-injury using cooling technology such as the WElkins EMT (continuous long-term cooling) or the CatalystTM CryohelmetTM (intermediate short-term cooling) may represent a sensible, practical, and effective strategy to potentially enhance recovery and minimize the subsequent cognitive deficits. In this study we demonstrate that this cooling method worked in sedentary, non-active, healthy subjects. The next step is to determine the effectiveness of this type of cooling in the athletic world by examining how quickly core temperature could be reduced post workouts/practice in non-mTBI athletes. Further development of MR thermometry would allow detailed examination of the thermal impact of this technology in different regions of the brain. Sophisticated studies to evaluate the head-neck-surface-cooling induced changes in regional brain perfusion patterns and functional connectivity are also warranted. In quoting a great commentary by Kochanek and Jackson: “It might be time to let cooler heads prevail” [48].

Figure 2.

Figure 2

Graph showing the change in sublingual and tympanic temperatures over 90 min in healthy volunteers. Subjects were only cooled for 60 min after baseline measurements and were monitored 30 min after cooling. Error bars indicate standard deviation, SD.

Figure 3.

Figure 3

Time course of systolic and diastolic blood pressure during baseline, cooling phase, and 30 min post-cooling. Error bars indicate SD.

Acknowledgments

Conflict of interest statement: The authors declare that they have no competing interests. Contribution statement: KJ, RR, VL, TH and JW all participated in collecting data, data analysis and revising the article for intellectual content. The authors thank William Elkins and Welkins Medical for the use of the Cooling EMT system.

References

  • 1.Rutland-Brown W, Langlois JA, Thomas KE, Xi YL. Incidence of traumatic brain injury in the United States, 2003. J Head Trauma Rehabil. 2006;21:544–548. doi: 10.1097/00001199-200611000-00009. [DOI] [PubMed] [Google Scholar]
  • 2.De Beaumont L, Lassonde M, Leclerc S, Théoret H. Long-term and cumulative effects of sports concussion on motor cortex inhibition. Neurosurgery. 2007;61:329–336. doi: 10.1227/01.NEU.0000280000.03578.B6. discussion 336–337. [DOI] [PubMed] [Google Scholar]
  • 3.De Beaumont L, Tremblay S, Henry LC, Poirier J, Lassonde M, Théoret H. Motor system alterations in retired former athletes: the role of aging and concussion history. BMC Neurol. 2013;13:109. doi: 10.1186/1471-2377-13-109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.DeKosky ST, Ikonomovic MD, Gandy S. Traumatic brain injury: football, warfare, and long-term effects. Minn Med. 2010;93:46–47. [PubMed] [Google Scholar]
  • 5.Peskind ER, Brody D, Cernak I, McKee A, Ruff RL. Military- and sports-related mild traumatic brain injury: clinical presentation, management, and long-term consequences. J Clin Psychiatry. 2013;74:180–188. doi: 10.4088/JCP.12011co1c. quiz 188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Schretlen DJ, Shapiro AM. A quantitative review of the effects of traumatic brain injury on cognitive functioning. Int Rev Psychiatry. 2003;15:341–349. doi: 10.1080/09540260310001606728. [DOI] [PubMed] [Google Scholar]
  • 7.Shultz SR, Bao F, Omana V, Chiu C, Brown A, Cain DP. Repeated mild lateral fluid percussion brain injury in the rat causes cumulative long-term behavioral impairments, neuroinflammation, and cortical loss in an animal model of repeated concussion. J Neurotrauma. 2012;29:281–294. doi: 10.1089/neu.2011.2123. [DOI] [PubMed] [Google Scholar]
  • 8.Langlois JA, Rutland-Brown W, Wald MM. The epidemiology and impact of traumatic brain injury: a brief overview. J Head Trauma Rehabil. 2006;21:375–378. doi: 10.1097/00001199-200609000-00001. [DOI] [PubMed] [Google Scholar]
  • 9.Thurman DJ, Alverson C, Dunn KA, Guerrero J, Sniezek JE. Traumatic brain injury in the United States: a public health perspective. J Head Trauma Rehabil. 1999;14:602–615. doi: 10.1097/00001199-199912000-00009. [DOI] [PubMed] [Google Scholar]
  • 10.DeKosky ST, Ikonomovic MD, Gandy S. Traumatic brain injury - football, warfare, and long-term effects. N Engl J Med. 2010;363:1293–1296. doi: 10.1056/NEJMp1007051. [DOI] [PubMed] [Google Scholar]
  • 11.Wang H, Olivero W, Lanzino G, Elkins W, Rose J, Honings D, et al. Rapid and selective cerebral hypothermia achieved using a cooling helmet. J Neurosurg. 2004;100:272–277. doi: 10.3171/jns.2004.100.2.0272. [DOI] [PubMed] [Google Scholar]
  • 12.Wang H, Wang B, Jackson K, Miller CM, Hasadsri L, Llano D, et al. A novel head-neck cooling device for concussion injury in contact sports. Transl Neurosci. 2014;6:20–31. doi: 10.1515/tnsci-2015-0004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lee JK, Koh AC, Koh SX, Liu GJ, Nio AQ, Fan PW. Neck cooling and cognitive performance following exercise-induced hyperthermia. Eur J Appl Physiol. 2014;114:375–384. doi: 10.1007/s00421-013-2774-9. [DOI] [PubMed] [Google Scholar]
  • 14.Godek SF, Bartolozzi AR, Godek JJ. Sweat rate and fluid turnover in American football players compared with runners in a hot and humid environment. Br J Sports Med. 2005;39:205–211. doi: 10.1136/bjsm.2004.011767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Godek SF, Godek JJ, Bartolozzi AR. Hydration status in college football players during consecutive days of twice-a-day preseason practices. Am J Sports Med. 2005;33:843–851. doi: 10.1177/0363546504270999. [DOI] [PubMed] [Google Scholar]
  • 16.Nybo L, Moller K, Volianitis S, Nielsen B, Secher NH. Effects of hyperthermia on cerebral blood flow and metabolism during prolonged exercise in humans. J Appl Physiol. 2002;93:58–64. doi: 10.1152/japplphysiol.00049.2002. [DOI] [PubMed] [Google Scholar]
  • 17.Ozgünen KT, Kurdak SS, Maughan RJ, Zeren C, Korkmaz S, Yazici Z, et al. Effect of hot environmental conditions on physical activity patterns and temperature response of football players. Scand J Med Sci Sports. 2010;20(Suppl 3):140–147. doi: 10.1111/j.1600-0838.2010.01219.x. [DOI] [PubMed] [Google Scholar]
  • 18.Bailes JE, Petraglia AL, Omalu BI, Nauman E, Talavage T. Role of subconcussion in repetitive mild traumatic brain injury. J Neurosurg. 2013;119:1235–1245. doi: 10.3171/2013.7.JNS121822. [DOI] [PubMed] [Google Scholar]
  • 19.Broglio SP, Eckner JT, Kutcher JS. Field-based measures of head impacts in high school football athletes. Curr Opin Pediatr. 2012;24:702–708. doi: 10.1097/MOP.0b013e3283595616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Broglio SP, Eckner JT, Martini D, Sosnoff JJ, Kutcher JS, Randolph C. Cumulative head impact burden in high school football. J Neurotrauma. 2011;28:2069–2078. doi: 10.1089/neu.2011.1825. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Broglio SP, Eckner JT, Paulson HL, Kutcher JS. Cognitive decline and aging: the role of concussive and subconcussive impacts. Exerc Sport Sci Rev. 2012;40:138–144. doi: 10.1097/JES.0b013e3182524273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Gavett BE, Stern RA, McKee AC. Chronic traumatic encephalopathy: a potential late effect of sport-related concussive and subconcussive head trauma. Clin Sports Med. 2011;30:179–188. doi: 10.1016/j.csm.2010.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.McCrory P. Sports concussion and the risk of chronic neurological impairment. Clin J Sport Med. 2011;21:6–12. doi: 10.1097/JSM.0b013e318204db50. [DOI] [PubMed] [Google Scholar]
  • 24.Sakurai A, Atkins CM, Alonso OF, Bramlett HM, Dietrich WD. Mild hyperthermia worsens the neuropathological damage associated with mild traumatic brain injury in rats. J Neurotrauma. 2012;29:313–321. doi: 10.1089/neu.2011.2152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Miyauchi T, Wei EP, Povlishock JT. Evidence for the therapeutic efficacy of either mild hypothermia or oxygen radical scavengers after repetitive mild traumatic brain injury. J Neurotrauma. 2014;31:773–781. doi: 10.1089/neu.2013.3181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wilcox CS. Effects of tempol and redox-cycling nitroxides in models of oxidative stress. Pharmacol Ther. 2010;126:119–145. doi: 10.1016/j.pharmthera.2010.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Titus DJ, Furones C, Atkins CM, Dietrich WD. Emergence of cognitive deficits after mild traumatic brain injury due to hyperthermia. Exp Neurol. 2015;263:254–262. doi: 10.1016/j.expneurol.2014.10.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Rolls ET, Tovee MJ. Processing speed in the cerebral cortex and the neurophysiology of visual masking. Proc Biol Sci. 1994;257:9–15. doi: 10.1098/rspb.1994.0087. [DOI] [PubMed] [Google Scholar]
  • 29.Vendrell P, Junque C, Pujol J, Jurado MA, Molet J, Grafman J. The role of prefrontal regions in the Stroop task. Neuropsychologia. 1995;33:341–352. doi: 10.1016/0028-3932(94)00116-7. [DOI] [PubMed] [Google Scholar]
  • 30.Owen AM, McMillan KM, Laird AR, Bullmore E. N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies. Hum Brain Mapp. 2005;25:46–59. doi: 10.1002/hbm.20131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Covaciu L, Weis J, Bengtsson C, Allers M, Lunderquist A, Ahlström H, et al. Brain temperature in volunteers subjected to intranasal cooling. Intensive Care Med. 2011;37:1277–1284. doi: 10.1007/s00134-011-2264-7. [DOI] [PubMed] [Google Scholar]
  • 32.Georgiadis D, Schwarz S, Kollmar R, Schwab S. Endovascular cooling for moderate hypothermia in patients with acute stroke: first results of a novel approach. Stroke. 2001;32:2550–2553. doi: 10.1161/hs1101.097382. [DOI] [PubMed] [Google Scholar]
  • 33.Hemmen TM, Lyden PD. Induced hypothermia for acute stroke. Stroke. 2007;38:794–799. doi: 10.1161/01.STR.0000247920.15708.fa. [DOI] [PubMed] [Google Scholar]
  • 34.Kammersgaard LP, Rasmussen BH, Jørgensen HS, Reith J, Weber U, Olsen TS. Feasibility and safety of inducing modest hypothermia in awake patients with acute stroke through surface cooling: a case-control study: the Copenhagen Stroke Study. Stroke. 2000;31:2251–2256. doi: 10.1161/01.str.31.9.2251. [DOI] [PubMed] [Google Scholar]
  • 35.De Beaumont L, Brisson B, Lassonde M, Jolicoeur P. Long-term electrophysiological changes in athletes with a history of multiple concussions. Brain Inj. 2007;21:631–644. doi: 10.1080/02699050701426931. [DOI] [PubMed] [Google Scholar]
  • 36.De Beaumont L, Fiocco AJ, Quesnel G, Lupien S, Poirier J. Altered declarative memory in introverted middle-aged adults carrying the BDNF val66met allele. Behav Brain Res. 2013;253:152–156. doi: 10.1016/j.bbr.2013.07.002. [DOI] [PubMed] [Google Scholar]
  • 37.Lovell M. The management of sports-related concussion: current status and future trends. Clin Sports Med. 2009;28:95–111. doi: 10.1016/j.csm.2008.08.008. [DOI] [PubMed] [Google Scholar]
  • 38.Cubon VA, Putukian M, Boyer C, Dettwiler A. A diffusion tensor imaging study on the white matter skeleton in individuals with sports-related concussion. J Neurotrauma. 2011;28:189–201. doi: 10.1089/neu.2010.1430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Slobounov SM, Zhang K, Pennell D, Ray W, Johnson B, Sebastianelli W. Functional abnormalities in normally appearing athletes following mild traumatic brain injury: a functional MRI study. Exp Brain Res. 2010;202:341–354. doi: 10.1007/s00221-009-2141-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Vagnozzi R, Signoretti S, Cristofori L, Alessandrini F, Floris R, Isgro E, et al. Assessment of metabolic brain damage and recovery following mild traumatic brain injury: a multicentre, proton magnetic resonance spectroscopic study in concussed patients. Brain. 2010;133:3232–3242. doi: 10.1093/brain/awq200. [DOI] [PubMed] [Google Scholar]
  • 41.Jeter CB, Hergenroeder GW, Hylin MJ, Redell JB, Moore AN, Dash PK. Biomarkers for the diagnosis and prognosis of mild traumatic brain injury/concussion. J Neurotrauma. 2013;30:657–670. doi: 10.1089/neu.2012.2439. [DOI] [PubMed] [Google Scholar]
  • 42.Allison MA, Kang YS, Bolte JH, 4th, Maltese MR, Arbogast KB. Validation of a helmet-based system to measure head impact biomechanics in ice hockey. Med Sci Sports Exerc. 2014;46:115–123. doi: 10.1249/MSS.0b013e3182a32d0d. [DOI] [PubMed] [Google Scholar]
  • 43.Beckwith JG, Greenwald RM, Chu JJ. Measuring head kinematics in football: correlation between the head impact telemetry system and Hybrid III headform. Ann Biomed Eng. 2012;40:237–248. doi: 10.1007/s10439-011-0422-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Mihalik JP, McCaffrey MA, Rivera EM, Pardini JE, Guskiewicz KM, Collins MW, et al. Effectiveness of mouthguards in reducing neurocognitive deficits following sports-related cerebral concussion. Dent Traumatol. 2007;23:14–20. doi: 10.1111/j.1600-9657.2006.00488.x. [DOI] [PubMed] [Google Scholar]
  • 45.Wang H, Wang B, Jackson K, Miller CM, Hasadsri L, Llano D, et al. A novel head-neck cooling device for concussion injury in contact sports. Transl Neurosci. 2015;6:20–31. doi: 10.1515/tnsci-2015-0004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Kallmünzer B, Beck A, Schwab S, Kollmar R. Local head and neck cooling leads to hypothermia in healthy volunteers. Cerebrovasc Dis. 2011;32:207–210. doi: 10.1159/000329376. [DOI] [PubMed] [Google Scholar]
  • 47.Koehn J, Kollmar R, Cimpianu CL, Kallmünzer B, Moeller S, Schwab S, et al. Head and neck cooling decreases tympanic and skin temperature, but significantly increases blood pressure. Stroke. 2012;43:2142–2148. doi: 10.1161/STROKEAHA.112.652248. [DOI] [PubMed] [Google Scholar]
  • 48.Kochanek PM, Jackson TC. It might be time to let cooler heads prevail after mild traumatic brain injury or concussion. Exp Neurol. 2015;267:13–17. doi: 10.1016/j.expneurol.2015.02.019. [DOI] [PubMed] [Google Scholar]

Articles from Translational Neuroscience are provided here courtesy of De Gruyter

RESOURCES