1
|
Takagi R, Wanasundara C, Wu L, Ipsiroglu O, Kuo C. Sleep After Concussion: A Scoping Review of Sensor Technologies. J Neurotrauma 2024. [PMID: 38832860 DOI: 10.1089/neu.2023.0526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024] Open
Abstract
Sleep disturbances following a concussion/mild traumatic brain injury are associated with longer recovery times and more comorbidities. Sensor technologies can directly monitor sleep-related physiology and provide objective sleep metrics. This scoping review determines how sensor technologies are currently used to monitor sleep following a concussion. We searched Ovid (Medline, Embase), Web of Science, CINAHL, Compendex Engineering Village, and PsycINFO from inception to June 20, 2022, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for scoping reviews. Included studies objectively monitored sleep in participants with concussion. We screened 1081 articles and included 37 in the review. A total of 17 studies implemented polysomnography (PSG) months to years after injury for a median of two nights and provided a wide range of sleep metrics, including sleep-wake times, sleep stages, arousal indices, and periodic limb movements. Twenty-two studies used actigraphy days to weeks after injury for a median of 10 days and nights and provided information limited to sleep-wake times. Sleep stages were most reported in PSG studies, and sleep efficiency was most reported in actigraphy studies. For both technologies there was high variability in reported outcome measures. Sleep sensing technologies may be used to identify how sleep affects concussion recovery. However, high variability in sensor deployment methodologies makes cross-study comparisons difficult and highlights the need for standardization. Consensus on how sleep sensing technologies are used post-concussion may lead to clinical integration with subjective methods for improved sleep monitoring during the recovery period.
Collapse
Affiliation(s)
- Ryan Takagi
- Faculty of Applied Science, Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada
| | - Chamin Wanasundara
- Department of Pediatrics, BC Children's Hospital Interdisciplinary Sleep Medicine, University of British Columbia, Vancouver, Canada
| | - Lyndia Wu
- Faculty of Applied Science, Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada
| | - Osman Ipsiroglu
- Department of Pediatrics, BC Children's Hospital Interdisciplinary Sleep Medicine, University of British Columbia, Vancouver, Canada
| | - Calvin Kuo
- Faculty of Applied Science and Faculty of Medicine, School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
| |
Collapse
|
2
|
Donahue CC, Resch JE. Concussion and the Sleeping Brain. SPORTS MEDICINE - OPEN 2024; 10:68. [PMID: 38853235 PMCID: PMC11162982 DOI: 10.1186/s40798-024-00736-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 05/25/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND Emerging research has suggested sleep to be a modifier of the trajectory of concussion recovery in adolescent and adult populations. Despite the growing recognition of the relationship between sleep and concussion, the mechanisms and physiological processes governing this association have yet to be established. MAIN BODY Following a concussion, a pathophysiologic cascade of events occurs, characterized by numerous factors including microglia activation, ionic imbalance, and release of excitatory neurotransmitters. Importantly, each of these factors plays a role in the regulation of the sleep-wake cycle. Therefore, dysregulation of sleep following injury may be a function of the diffuse disruption of cerebral functioning in the wake of both axonal damage and secondary physiological events. As the onset of sleep-related symptoms is highly variable following a concussion, clinicians should be aware of when and how these symptoms present. Post-injury changes in sleep have been reported in the acute, sub-acute, and chronic phases of recovery and can prolong symptom resolution, affect neurocognitive performance, and influence mood state. Though these changes support sleep as a modifier of recovery, limited guidance exists for clinicians or their patients in the management of sleep after concussion. This may be attributed to the fact that research has correlated sleep with concussion recovery but has failed to explain why the correlation exists. Sleep is a complex, multifactorial process and the changes seen in sleep that are seen following concussion are the result of interactions amongst numerous processes that regulate the sleep-wake cycle. SHORT CONCLUSION The assessment and management of sleep by identifying and considering the biological, sociological, and psychological interactions of this multifactorial process will allow for clinicians to address the dynamic nature of changes in sleep following concussion.
Collapse
Affiliation(s)
- Catherine C Donahue
- Department of Orthopedics, University of Colorado School of Medicine, Children's Hospital Colorado, 13123 E. 16th Ave, Box 060, 80045, Aurora, CO, USA.
| | - Jacob E Resch
- Department of Kinesiology, University of Virginia, 550 Brandon Ave, Charlottesville, VA, 22908, USA
| |
Collapse
|
3
|
Weppner JL, Hillaker E, Boomgaardt J, Tan S, Holum P, Li F, Tu J, Sheppard M. Actigraphic and nursing sleep log measures in moderate-to-severe traumatic brain injury: Identifying discrepancies in total sleep time. PM R 2023; 15:1266-1272. [PMID: 36565443 DOI: 10.1002/pmrj.12934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/26/2022] [Accepted: 12/02/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND Sleep disturbances are common in patients with traumatic brain injury (TBI). In an inpatient rehabilitation setting, clinicians often use information from sleep logs filled out by trained nurses to identify and treat sleep disturbances. However, there are limited data related to accuracy of sleep logs, and patient-reported sleep diaries are poor predictors of total sleep time, which raises concern about the accuracy of sleep logs filled out by a third party. OBJECTIVE To examine the reliability of sleep logs for participants with TBI by comparing total sleep time determined by sleep logs versus actigraphy. DESIGN Prospective, cross-sectional study. SETTING Free-standing, academic inpatient rehabilitation facility. PARTICIPANTS Thirty individuals (n = 30) participated in the study. Inclusion criteria were (1) diagnosis of moderate-to-severe TBI; (2) age ≥ 18 years at the time of TBI; and (3) participating in inpatient rehabilitation with no prior inpatient rehabilitation admissions. INTERVENTIONS Actigraph monitoring using ActiGraph GT9X Link devices was initiated within 72 hours of admission and continued for 7 consecutive days. Sleep logs were concurrently filled out by trained nurses. MAIN OUTCOME MEASURES Sleep parameter correspondence between actigraphy and sleep logs in moderate-to-severe TBI. RESULTS Only 51.4% of participants' sleep logs and actigraph total sleep time measurements were within 1 hour of each other, and only 23.8% were within 30 minutes. On average, sleep logs overestimated actigraphy-determined total sleep time by 60 minutes compared to actigraphic measurement. CONCLUSIONS For those with moderate-to-severe TBI undergoing inpatient rehabilitation, sleep logs are poor predictors of sleep time because they overestimate total sleep time compared to actigraphy. Therefore, clinicians should use caution when using sleep log data to make decisions regarding treatment for sleep disturbances in TBI.
Collapse
Affiliation(s)
- Justin L Weppner
- Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, Virginia, USA
- Department of Internal Medicine, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA
- Department of Internal Medicine, Edward Via College of Osteopathic Medicine, Blacksburg, Virginia, USA
| | - Emily Hillaker
- Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, Virginia, USA
| | - Jacob Boomgaardt
- Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, Virginia, USA
| | - Stephen Tan
- Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, Virginia, USA
| | - Parker Holum
- University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Felix Li
- University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Justin Tu
- Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, Virginia, USA
| | - Michael Sheppard
- Department of Physical Medicine and Rehabilitation, University of Virginia, Charlottesville, Virginia, USA
| |
Collapse
|
4
|
Coyle HL, Bailey NW, Ponsford J, Hoy KE. Recovery of clinical, cognitive and cortical activity measures following mild traumatic brain injury (mTBI): A longitudinal investigation. Cortex 2023; 165:14-25. [PMID: 37245405 DOI: 10.1016/j.cortex.2023.04.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 03/06/2023] [Accepted: 04/17/2023] [Indexed: 05/30/2023]
Abstract
The mechanisms that underpin recovery following mild traumatic brain injury (mTBI) remain poorly understood. Identifying neurophysiological markers and their functional significance is necessary to develop diagnostic and prognostic indicators of recovery. The current study assessed 30 participants in the subacute phase of mTBI (10-31 days post-injury) and 28 demographically matched controls. Participants also completed 3 month (mTBI: N = 21, control: N = 25) and 6 month (mTBI: N = 15, control: N = 25) follow up sessions to track recovery. At each time point, a battery of clinical, cognitive, and neurophysiological assessments was completed. Neurophysiological measures included resting-state electroencephalography (EEG) and transcranial magnetic stimulation combined with EEG (TMS-EEG). Outcome measures were analysed using mixed linear models (MLM). Group differences in mood, post-concussion symptoms and resting-state EEG resolved by 3 months, and recovery was maintained at 6 months. On TMS-EEG derived neurophysiological measures of cortical reactivity, group differences ameliorated at 3 months but re-emerged at 6 months, while on measures of fatigue, group differences persisted across all time points. Persistent neurophysiological changes and greater fatigue in the absence of measurable cognitive impairment may suggest the impact of mTBI on neuronal communication may leads to increased neural effort to maintain efficient function. Neurophysiological measures to track recovery may help identify both temporally optimal windows and therapeutic targets for the development of new treatments in mTBI.
Collapse
Affiliation(s)
- Hannah L Coyle
- Central Clinical School Department of Psychiatry, Monash University, Melbourne, Victoria, Australia
| | - Neil W Bailey
- Central Clinical School Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; Monarch Research Institute Monarch Mental Health Group, Sydney, New South Wales, Australia; School of Medicine and Psychology, The Australian National University, Canberra, ACT, Australia
| | - Jennie Ponsford
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia; Monash-Epworth Rehabilitation Research Centre, Epworth Healthcare, Melbourne, Victoria, Australia
| | - Kate E Hoy
- Central Clinical School Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; Bionics Institute, East Melbourne, Victoria, Australia.
| |
Collapse
|
5
|
Rauchman SH, Zubair A, Jacob B, Rauchman D, Pinkhasov A, Placantonakis DG, Reiss AB. Traumatic brain injury: Mechanisms, manifestations, and visual sequelae. Front Neurosci 2023; 17:1090672. [PMID: 36908792 PMCID: PMC9995859 DOI: 10.3389/fnins.2023.1090672] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
Traumatic brain injury (TBI) results when external physical forces impact the head with sufficient intensity to cause damage to the brain. TBI can be mild, moderate, or severe and may have long-term consequences including visual difficulties, cognitive deficits, headache, pain, sleep disturbances, and post-traumatic epilepsy. Disruption of the normal functioning of the brain leads to a cascade of effects with molecular and anatomical changes, persistent neuronal hyperexcitation, neuroinflammation, and neuronal loss. Destructive processes that occur at the cellular and molecular level lead to inflammation, oxidative stress, calcium dysregulation, and apoptosis. Vascular damage, ischemia and loss of blood brain barrier integrity contribute to destruction of brain tissue. This review focuses on the cellular damage incited during TBI and the frequently life-altering lasting effects of this destruction on vision, cognition, balance, and sleep. The wide range of visual complaints associated with TBI are addressed and repair processes where there is potential for intervention and neuronal preservation are highlighted.
Collapse
Affiliation(s)
| | - Aarij Zubair
- NYU Long Island School of Medicine, Mineola, NY, United States
| | - Benna Jacob
- NYU Long Island School of Medicine, Mineola, NY, United States
| | - Danielle Rauchman
- Department of Neuroscience, University of California, Santa Barbara, Santa Barbara, CA, United States
| | - Aaron Pinkhasov
- NYU Long Island School of Medicine, Mineola, NY, United States
| | | | - Allison B Reiss
- NYU Long Island School of Medicine, Mineola, NY, United States
| |
Collapse
|
6
|
Daily Morning Blue Light Therapy Improves Daytime Sleepiness, Sleep Quality, and Quality of Life Following a Mild Traumatic Brain Injury. J Head Trauma Rehabil 2021; 35:E405-E421. [PMID: 32472836 DOI: 10.1097/htr.0000000000000579] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Identify the treatment effects of 6 weeks of daily 30-minute sessions of morning blue light therapy compared with placebo amber light therapy in the treatment of sleep disruption following mild traumatic brain injury. DESIGN Placebo-controlled randomized trial. PARTICIPANTS Adults aged 18 to 45 years with a mild traumatic brain injury within the past 18 months (n = 35). MAIN OUTCOME MEASURES Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Beck Depression Inventory II, Rivermead Post-concussion Symptom Questionnaire, Functional Outcomes of Sleep Questionnaire, and actigraphy-derived sleep measures. RESULTS Following treatment, moderate to large improvements were observed with individuals in the blue light therapy group reporting lower Epworth Sleepiness Scale (Hedges' g = 0.882), Beck Depression Inventory II (g = 0.684), Rivermead Post-concussion Symptom Questionnaire chronic (g = 0.611), and somatic (g = 0.597) symptoms, and experiencing lower normalized wake after sleep onset (g = 0.667) than those in the amber light therapy group. In addition, individuals in the blue light therapy group experienced greater total sleep time (g = 0.529) and reported improved Functional Outcomes of Sleep Questionnaire scores (g = 0.929) than those in the amber light therapy group. CONCLUSION Daytime sleepiness, fatigue, and sleep disruption are common following a mild traumatic brain injury. These findings further substantiate blue light therapy as a promising nonpharmacological approach to improve these sleep-related complaints with the added benefit of improved postconcussion symptoms and depression severity.
Collapse
|
7
|
Markovic SJ, Fitzgerald M, Peiffer JJ, Scott BR, Rainey-Smith SR, Sohrabi HR, Brown BM. The impact of exercise, sleep, and diet on neurocognitive recovery from mild traumatic brain injury in older adults: A narrative review. Ageing Res Rev 2021; 68:101322. [PMID: 33737117 DOI: 10.1016/j.arr.2021.101322] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 03/06/2021] [Accepted: 03/11/2021] [Indexed: 02/06/2023]
Abstract
Mild traumatic brain injury (mTBI) accounts for a large majority of traumatic brain injuries sustained globally each year. Older adults, who are already susceptible to age-related declines to neurocognitive health, appear to be at an increased risk of both sustaining an mTBI and experiencing slower or impaired recovery. There is also growing evidence that mTBI is a potential risk factor for accelerated cognitive decline and neurodegeneration. Lifestyle-based interventions are gaining prominence as a cost-effective means of maintaining cognition and brain health with age. Consequently, inter-individual variations in exercise, sleep, and dietary patterns could influence the trajectory of post-mTBI neurocognitive recovery, particularly in older adults. This review synthesises the current animal and human literature centred on the mechanisms through which lifestyle-related habits and behaviours could influence acute and longer-term neurocognitive functioning following mTBI. Numerous neuroprotective processes which are impacted by lifestyle factors have been established in animal models of TBI. However, the literature is characterised by a lack of translation to human samples and limited appraisal of the interaction between ageing and brain injury. Further research is needed to better establish the therapeutic utility of applying lifestyle-based modifications to improve post-mTBI neurocognitive outcomes in older adults.
Collapse
Affiliation(s)
- Shaun J Markovic
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute Building, 8 Verdun St, Nedlands, Western Australia, Australia.
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Sarich Neuroscience Research Institute Building, 8 Verdun St, Nedlands, Western Australia, Australia; Perron Institute for Neurological and Translational Science, Sarich Neuroscience Research Institute Building, 8 Verdun St, Nedlands, Western Australia, Australia; School of Biological Sciences, The University of Western Australia, 35 Stirling Hwy, Crawley, Western Australia, Australia
| | - Jeremiah J Peiffer
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; Centre for Healthy Ageing, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; Murdoch Applied Sports Science Laboratory, Murdoch University, 90 South St, Murdoch, Western Australia, Australia
| | - Brendan R Scott
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; Centre for Healthy Ageing, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; Murdoch Applied Sports Science Laboratory, Murdoch University, 90 South St, Murdoch, Western Australia, Australia
| | - Stephanie R Rainey-Smith
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute Building, 8 Verdun St, Nedlands, Western Australia, Australia; Centre for Healthy Ageing, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Dr, Joondalup, Western Australia, Australia; School of Psychological Science, University of Western Australia, 35 Stirling Hwy, Crawley, Western Australia, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute Building, 8 Verdun St, Nedlands, Western Australia, Australia; Centre for Healthy Ageing, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Dr, Joondalup, Western Australia, Australia; Department of Biomedical Sciences, Macquarie University, Balaclava Rd, Macquarie Park, New South Wales, Australia
| | - Belinda M Brown
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South St, Murdoch, Western Australia, Australia; Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute Building, 8 Verdun St, Nedlands, Western Australia, Australia; Centre for Healthy Ageing, Murdoch University, 90 South St, Murdoch, Western Australia, Australia
| |
Collapse
|
8
|
Gomez AD, Bayly PV, Butman JA, Pham DL, Prince JL, Knutsen AK. Group characterization of impact-induced, in vivo human brain kinematics. J R Soc Interface 2021; 18:20210251. [PMID: 34157896 DOI: 10.1098/rsif.2021.0251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Brain movement during an impact can elicit a traumatic brain injury, but tissue kinematics vary from person to person and knowledge regarding this variability is limited. This study examines spatio-temporal brain-skull displacement and brain tissue deformation across groups of subjects during a mild impact in vivo. The heads of two groups of participants were imaged while subjected to a mild (less than 350 rad s-2) impact during neck extension (NE, n = 10) and neck rotation (NR, n = 9). A kinematic atlas of displacement and strain fields averaged across all participants was constructed and compared against individual participant data. The atlas-derived mean displacement magnitude was 0.26 ± 0.13 mm for NE and 0.40 ± 0.26 mm for NR, which is comparable to the displacement magnitudes from individual participants. The strain tensor from the atlas displacement field exhibited maximum shear strain (MSS) of 0.011 ± 0.006 for NE and 0.017 ± 0.009 for NR and was lower than the individual MSS averaged across participants. The atlas illustrates common patterns, containing some blurring but visible relationships between anatomy and kinematics. Conversely, the direction of the impact, brain size, and fluid motion appear to underlie kinematic variability. These findings demonstrate the biomechanical roles of key anatomical features and illustrate common features of brain response for model evaluation.
Collapse
Affiliation(s)
- Arnold D Gomez
- School of Medicine, Department of Neurology, Johns Hopkins University, 600 North Wolfe Street, 200 Carnegie Hall, Baltimore, MD, USA
| | - Philip V Bayly
- Department of Mechanical Engineering and Materials Science, Washington University in St Louis, 1 Brookings Drive, Box 1185, Saint Louis, MI, USA
| | - John A Butman
- Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Dzung L Pham
- Center for Neuroscience and Regenerative Medicine, Henry M Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Jerry L Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew K Knutsen
- Center for Neuroscience and Regenerative Medicine, Henry M Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| |
Collapse
|
9
|
Bajaj S, Raikes AC, Razi A, Miller MA, Killgore WDS. Blue-Light Therapy Strengthens Resting-State Effective Connectivity within Default-Mode Network after Mild TBI. J Cent Nerv Syst Dis 2021; 13:11795735211015076. [PMID: 34104033 PMCID: PMC8145607 DOI: 10.1177/11795735211015076] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 02/08/2021] [Indexed: 11/15/2022] Open
Abstract
Background: Emerging evidence suggests that post concussive symptoms, including mood changes, may be improved through morning blue-wavelength light therapy (BLT). However, the neurobiological mechanisms underlying these effects remain unknown. We hypothesize that BLT may influence the effective brain connectivity (EC) patterns within the default-mode network (DMN), particularly involving the medial prefrontal cortex (MPFC), which may contribute to improvements in mood. Methods: Resting-state functional MRI data were collected from 41 healthy-controls (HCs) and 28 individuals with mild traumatic brain injury (mTBI). Individuals with mTBI also underwent a diffusion-weighted imaging scan and were randomly assigned to complete either 6 weeks of daily morning BLT (N = 14) or amber light therapy (ALT; N = 14). Advanced spectral dynamic causal modeling (sDCM) and diffusion MRI connectometry were used to estimate EC patterns and structural connectivity strength within the DMN, respectively. Results: The sDCM analysis showed dominant connectivity pattern following mTBI (pre-treatment) within the hemisphere contralateral to the one observed for HCs. BLT, but not ALT, resulted in improved directional information flow (ie, EC) from the left lateral parietal cortex (LLPC) to MPFC within the DMN. The improvement in EC from LLPC to MPFC was accompanied by stronger structural connectivity between the 2 areas. For the BLT group, the observed improvements in function and structure were correlated (at a trend level) with changes in self-reported happiness. Conclusions: The current preliminary findings provide empirical evidence that morning short-wavelength light therapy could be used as a novel alternative rehabilitation technique for mTBI. Trial registry: The research protocols were registered in the ClinicalTrials.gov database (CT Identifiers NCT01747811 and NCT01721356).
Collapse
Affiliation(s)
- Sahil Bajaj
- Social, Cognitive and Affective Neuroscience (SCAN) Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
- Sahil Bajaj, Multimodal Clinical Neuroimaging Laboratory, Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE 68010, USA.
| | - Adam C Raikes
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging at Monash University, Clayton, VIC, Australia
- The Wellcome Centre for Human Neuroimaging, University College London, London, UK
- Department of Electronic Engineering, NED University of Engineering and Technology, Karachi, Pakistan
| | - Michael A Miller
- Social, Cognitive and Affective Neuroscience (SCAN) Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
| | - William DS Killgore
- Social, Cognitive and Affective Neuroscience (SCAN) Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
| |
Collapse
|
10
|
Trbovich AM, Howie EK, Elbin RJ, Ernst N, Stephenson K, Collins MW, Kontos AP. The relationship between accelerometer-measured sleep and next day ecological momentary assessment symptom report during sport-related concussion recovery. Sleep Health 2021; 7:519-525. [PMID: 33933377 DOI: 10.1016/j.sleh.2021.03.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/22/2021] [Accepted: 03/10/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Research examining sleep and concussion symptoms following sport-related concussion (SRC) is limited by retrospective self-report rather than objective data from wearable technology and real-time symptom report. The purpose of this study is to use actigraphy and ecological momentary assessment (EMA) to examine the relationship between sleep parameters and next day symptoms. METHODS Seventeen athletes (47.1%F) aged 12-19 (15.35+/-2.09) years (<72 hours post-SRC) wore Actigraph GT3x+ to measure nighttime sleep and completed post-concussion symptom scales (PCSS) three times via mobile EMA, resulting in a range of 91-177 observations for each outcome. Generalized linear mixed models, utilizing independent variables of sleep efficiency (SE%: ratio of awake time to sleep time) and total sleep time (TST) examined the associations between nightly sleep and symptoms next-day and throughout recovery. RESULTS SE% (IRR .97, 95%CI: .95, .99, P= .009) and TST (IRR .91, 95%CI: .84, .999, P = .047) were negatively associated with next day night symptoms. The negative relationship between SE% and the cognitive-migraine-fatigue (CMF) factor was significant for next day/night symptoms (P = .01), while TST was associated with symptom severity for the affective symptom factor (P = .015). Sleep was negatively associated with total symptoms and afternoon symptoms in Week 1 and total, morning, afternoon, and night symptoms in Week 2 (ps=.001-.021) of recovery. CONCLUSION Sleep was negatively associated with symptoms the next day, especially late in the day and among CMF and emotional symptoms. The relationship between sleep and symptom burden was strongest in the subacute stage of concussion recovery, highlighting the potential importance of sleep intervention post-injury.
Collapse
Affiliation(s)
- Alicia M Trbovich
- Department of Orthopedic Surgery, UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
| | - Erin K Howie
- Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, Arkansas, USA
| | - R J Elbin
- Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, Arkansas, USA
| | - Nathan Ernst
- Department of Orthopedic Surgery, UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Katie Stephenson
- Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, Arkansas, USA
| | - Michael W Collins
- Department of Orthopedic Surgery, UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Anthony P Kontos
- Department of Orthopedic Surgery, UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| |
Collapse
|
11
|
Raikes AC, Dailey NS, Forbeck B, Alkozei A, Killgore WDS. Daily Morning Blue Light Therapy for Post-mTBI Sleep Disruption: Effects on Brain Structure and Function. Front Neurol 2021; 12:625431. [PMID: 33633674 PMCID: PMC7901882 DOI: 10.3389/fneur.2021.625431] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 01/15/2021] [Indexed: 12/11/2022] Open
Abstract
Background: Mild traumatic brain injuries (mTBIs) are associated with novel or worsened sleep disruption. Several studies indicate that daily morning blue light therapy (BLT) is effective for reducing post-mTBI daytime sleepiness and fatigue. Studies demonstrating changes in brain structure and function following BLT are limited. The present study's purpose is to identify the effect of daily morning BLT on brain structure and functional connectivity and the association between these changes and self-reported change in post-mTBI daytime sleepiness. Methods: A total of 62 individuals recovering from a mTBI were recruited from two US cities to participate in a double-blind placebo-controlled trial. Eligible individuals were randomly assigned to undergo 6 weeks of 30 min daily morning blue or placebo amber light therapy (ALT). Prior to and following treatment all individuals completed a comprehensive battery that included the Epworth Sleepiness Scale as a measure of self-reported daytime sleepiness. All individuals underwent a multimodal neuroimaging battery that included anatomical and resting-state functional magnetic resonance imaging. Atlas-based regional change in gray matter volume (GMV) and region-to-region functional connectivity from baseline to post-treatment were the primary endpoints for this study. Results: After adjusting for pre-treatment GMV, individuals receiving BLT had greater GMV than those receiving amber light in 15 regions of interest, including the right thalamus and bilateral prefrontal and orbitofrontal cortices. Improved daytime sleepiness was associated with greater GMV in 74 ROIs, covering many of the same general regions. Likewise, BLT was associated with increased functional connectivity between the thalamus and both prefrontal and orbitofrontal cortices. Improved daytime sleepiness was associated with increased functional connectivity between attention and cognitive control networks as well as decreased connectivity between visual, motor, and attention networks (all FDR corrected p < 0.05). Conclusions: Following daily morning BLT, moderate to large increases in both gray matter volume and functional connectivity were observed in areas and networks previously associated with both sleep regulation and daytime cognitive function, alertness, and attention. Additionally, these findings were associated with improvements in self-reported daytime sleepiness. Further work is needed to identify the personal characteristics that may selectively identify individuals recovering from a mTBI for whom BLT may be optimally beneficial.
Collapse
Affiliation(s)
- Adam C Raikes
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
| | - Natalie S Dailey
- Social, Cognitive, and Affective Neuroscience Lab, University of Arizona, Tucson, AZ, United States
| | - Brittany Forbeck
- Social, Cognitive, and Affective Neuroscience Lab, University of Arizona, Tucson, AZ, United States
| | - Anna Alkozei
- Social, Cognitive, and Affective Neuroscience Lab, University of Arizona, Tucson, AZ, United States
| | - William D S Killgore
- Social, Cognitive, and Affective Neuroscience Lab, University of Arizona, Tucson, AZ, United States
| |
Collapse
|
12
|
Barlow KM, Girgulis KA, Goldstein G, Crowe EG, Vo MK, Su P, Esser MJ, Dewey D, Kirk VG. Sleep Parameters and Overnight Urinary Melatonin Production in Children With Persistent Post-concussion Symptoms. Pediatr Neurol 2020; 105:27-34. [PMID: 32029332 DOI: 10.1016/j.pediatrneurol.2019.11.006] [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] [Received: 09/23/2019] [Revised: 10/19/2019] [Accepted: 11/03/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Sleep disturbance is common after a mild traumatic brain injury (mTBI) in children, yet its biology is poorly understood. We aimed to explore sleep-related problems (SRPs), sleep-activity patterns, and endogenous melatonin production in children with different recovery trajectories following mTBI. We hypothesized that children with delayed recovery would have more SRPs and abnormal sleep-activity patterns, which would correlate with lower overnight melatonin production. METHODS In this prospective controlled cohort study, we enrolled 83 children with persistent symptoms, 26 children who had clinically recovered following mTBI, and 25 healthy controls. SRPs were evaluated using the sleep subscale of the Post-Concussion Symptom Inventory. Sleep actigraphy was performed for five to seven days at 37 (S.D. 7) days post-injury. Health-related quality of life and mood disturbance was assessed using the Child Health Questionnaire and the Behavior Assessment System for Children, respectively. Endogenous melatonin production was assessed using overnight urine collection. RESULTS The groups were similar in age (13.9 [S.D. 2.6] years) and sex (52% female). Regression analysis demonstrated increased SRP in the symptomatic group (9.0; 95% confidence interval: 7.6, 11.1) compared with the recovered group (1.6; 95% confidence interval: 1.0, 2.4) and controls (2.0; 95% confidence intervals: 1.2, 3.2). Actigraphy parameters and urinary melatonin levels were not significantly different between groups. Neither SRPs nor actigraphy parameters correlated with anxiety and depression scores. CONCLUSIONS Although children with persistent post-concussion symptoms reported more SRPs, this was not related to actigraphy sleep parameters or melatonin production. Further research is warranted to understand the pathophysiology of post-traumatic sleep disturbance.
Collapse
Affiliation(s)
- Karen M Barlow
- Department of Paediatrics, University of Calgary, Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada; Faculty of Medicine, Children's Health Research Centre, University of Queensland, St Lucia, Australia.
| | - Katherine A Girgulis
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada; Section of Pediatrics, Alberta Children's Hospital, Calgary, Canada
| | | | - Erica G Crowe
- Section of Pediatrics, Alberta Children's Hospital, Calgary, Canada
| | - Mai K Vo
- Section of Pediatrics, Alberta Children's Hospital, Calgary, Canada
| | - Peter Su
- Faculty of Medicine, Children's Health Research Centre, University of Queensland, St Lucia, Australia
| | - Michael J Esser
- Department of Paediatrics, University of Calgary, Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada
| | - Deborah Dewey
- Department of Paediatrics, University of Calgary, Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Valerie G Kirk
- Department of Paediatrics, University of Calgary, Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada
| |
Collapse
|
13
|
Coxe KA, Sullivan L, Newton A, Yang J. Barriers to the Implementation of State Concussion Laws Within High Schools. J Adolesc Health 2020; 66:233-239. [PMID: 31757625 DOI: 10.1016/j.jadohealth.2019.08.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Revised: 08/06/2019] [Accepted: 08/07/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE All 50 U.S. states and the District of Columbia enacted concussion laws between 2009 and 2014 to mitigate the consequences of concussion among children and adolescents. In response, many high schools started to implement their respective state law that includes three main tenets: (1) concussion education, (2) removal from play, and (3) return-to-play. We aimed to identify barriers to the implementation of these tenets at the school level. METHODS We conducted 64 semistructured telephone interviews with high school athletic trainers from 26 states and the District of Columbia whose school participated in High School Reporting Information Online during the 2014-2015 and 2015-2016 academic years. Data were analyzed using thematic analysis. RESULTS All 64 high schools employed at least one athletic trainer, and most schools were public schools (90.6%). Implementation barriers to the concussion education tenet were (1) lack of quality education, (2) lack of buy-in to educational requirements, and (3) lack of time for and attendance at educational meetings. Implementation barriers to the removal from play tenet included (1) athletes underreporting concussion symptoms, (2) lack of communication, (3) resistance from parents and coaches, and (4) sport culture and "old school" mentality. Finally, (1) cost of and access to medical care, (2) resistance from stakeholders, and (3) lack of understanding of concussion were identified as implementation barriers to the return-to-play tenet. CONCLUSIONS Identification of implementation barriers is key to the successful execution and application of state concussion laws at the school level. Future research should identify strategies to reduce these barriers.
Collapse
Affiliation(s)
- Kathryn A Coxe
- College of Social Work, The Ohio State University, Columbus, Ohio
| | - Lindsay Sullivan
- Center for Injury Research and Policy, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Alison Newton
- Center for Injury Research and Policy, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Jingzhen Yang
- Center for Injury Research and Policy, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio; Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio.
| |
Collapse
|
14
|
Hoffman NL, O'Connor PJ, Schmidt MD, Lynall RC, Schmidt JD. Relationships between Post-Concussion Sleep and Symptom Recovery: A Preliminary Study. J Neurotrauma 2019; 37:1029-1036. [PMID: 31774024 DOI: 10.1089/neu.2019.6761] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Post-concussion sleep disturbances can be debilitating and may influence days to symptom recovery; however, evidence is minimal. The purpose of this study was to explore relationships between days to symptom recovery and aspects of sleep, as measured by actigraphy and subjective sleep questionnaires in a concussed sample. Thirty-one college students were physician-diagnosed with a concussion and asked to complete a daily sleep symptom checklist. Participants (n = 14) were excluded based on lack of compliance/early termination (22.6%), recorded <5 nights of data (12.9%), and protracted recoveries (3.2%). Final concussed sample included 17 college-aged students (varsity student-athletes, n = 5; university students, n = 12). A wrist-worn ActiGraph GT9X Link was provided during initial evaluation (within 72 h post-injury) and worn continuously until symptom recovery (follow-up evaluation; 14.3 ± 5.9 days post-injury). The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) also were completed at follow-up. Pearson's correlations were conducted to determine relationships between days to symptom recovery and actigraphy sleep outcomes (sleep onset latency, wake after sleep onset (WASOnorm), total sleep time, sleep efficiency (SE), and number of awakenings) across recovery stages (2-3 days post-injury, mid-point, and end). Spearman's rho correlations were used to determine relationships between subjective sleep (PSQI global), sleepiness (ESS total), and sleep cluster symptom severity and days to symptom recovery. At recovery mid-point, individuals who were awake longer throughout the night (24.1 ± 9.0%) and/or were less efficient at sleeping (73.7 ± 9.7%) took longer to recover (WASOnorm: r = 0.58, p = 0.015; SE: r = -0.51, p = 0.035). Poorer post-concussion sleep quality (based on PSQI) was correlated with longer recovery (rs = 0.70, p = 0.001). Post-concussion sleep-wake disturbances at recovery mid-point and overall poorer sleep quality may be associated with longer symptom recovery. Our findings provide preliminary guidance on identifying those who may be at risk for longer recoveries based on poorer sleep post-injury.
Collapse
Affiliation(s)
- Nicole L Hoffman
- School of Kinesiology and Recreation, Illinois State University, Normal, Illinois
| | | | | | - Robert C Lynall
- Department of Kinesiology, University of Georgia, Athens, Georgia
| | | |
Collapse
|
15
|
Raikes AC, Athey A, Alfonso-Miller P, Killgore WDS, Grandner MA. Insomnia and daytime sleepiness: risk factors for sports-related concussion. Sleep Med 2019; 58:66-74. [PMID: 31132574 DOI: 10.1016/j.sleep.2019.03.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 03/11/2019] [Accepted: 03/12/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE/BACKGROUND Poor quality and inadequate sleep are associated with impaired cognitive, motor, and behavioral components of sport performance and increased injury risk. While prior work identifies sports-related concussions as predisposing factors for poor sleep, the role of sleep as a sports-related concussion risk factor is unknown. The purpose of this study was to quantify the effect of poor sleep quality and insomnia symptoms on future sports-related concussion risk. PATIENTS/METHODS In this study, 190 NCAA Division-1 athletes completed a survey battery, including the Insomnia Severity Index (ISI) and National Health and Nutrition Examination Survey (NHANES) Sleep module. Univariate risk ratios for future sports-related concussions were computed with ISI and NHANES sleepiness scores as independent predictors. An additional multiple logistic regression model including sport, sports-related concussion history, and significant univariate predictors jointly assessed the odds of sustaining a concussion. RESULTS Clinically moderate-to-severe insomnia severity (RR = 3.13, 95% CI: 1.320-7.424, p = 0.015) and excessive daytime sleepiness two or more times per month (RR = 2.856, 95% CI: 0.681-11.977, p = 0.037) increased concussion risk. These variables remained significant and comparable in magnitude in a multivariate model adjusted for sport participation. CONCLUSION Insomnia and daytime sleepiness are independently associated with increased sports-related concussion risk. More completely identifying bidirectional relationships between concussions and sleep requires further research. Clinicians and athletes should be cognizant of this relationship and take proactive measures - including assessing and treating sleep-disordered breathing, limiting insomnia risk factors, improving sleep hygiene, and developing daytime sleepiness management strategies - to reduce sports-related concussion risk and support overall athletic performance.
Collapse
Affiliation(s)
- Adam C Raikes
- Social, Cognitive, and Affective Neuroscience (SCAN) Lab, University of Arizona, Tucson, AZ, United States.
| | - Amy Athey
- Department of Athletics, University of Arizona, Tucson, AZ, United States
| | | | - William D S Killgore
- Social, Cognitive, and Affective Neuroscience (SCAN) Lab, University of Arizona, Tucson, AZ, United States
| | - Michael A Grandner
- Sleep and Health Research Program, University of Arizona, Tucson, AZ, United States
| |
Collapse
|