Abstract
Mild traumatic brain injury (mTBI) often presents with symptoms of dizziness, headache, and brain fog. Prior work has linked these symptoms to impaired autonomic nervous system function and associated changes in cerebral blood flow after mTBI. Arterial baroreflex function is central to the regulation of cerebral perfusion—modulating heart rate (HR) and blood pressure (BP) in response to postural changes and daily activity—and thus, of particular interest in understanding symptoms resulting from head trauma. This study sought to characterize sympathetic and parasympathetic baroreflex function in individuals with mTBI (≤14 days post injury) using standardized autonomic testing, and to assess the relationship between autonomic impairment and symptom severity. Seventy participants (35 mTBI, 35 age- and sex-matched controls) completed symptom questionnaires and a standardized autonomic battery that included heart rate variability during deep breathing, Valsalva maneuver, and 10-min head-up tilt (HUT) testing with beat-to-beat HR and BP monitoring. Outcome measures included HR/BP variability (SD), along with low frequency (LF) and high frequency power during supine and HUT phases. LF power during HUT was designated as the primary outcome of interest. Correlation and regression analyses assessed the relationship between autonomic outcome measures and postconcussion related symptom severity scores (Rivermead Post-Concussion Symptom Questionnaire-13), while controlling for potential confounders. Group-wise comparisons revealed significantly lower HR and BP variability, as well as reduced LF power of mean BP during HUT in the mTBI cohort compared to controls (p = 0.002); LF power of HR was also significantly lower in mTBI compared to controls (p = 0.011). Associations between autonomic metrics and symptom severity scores were weak. Individuals with mTBI (≤14 days since injury) exhibited blunted sympathetic baroreflex responses to orthostatic challenge as well as reduced HR/BP variability. These findings suggest physiological impairment in sympathetic activation post-mTBI, which may contribute to stressor-response based clinical symptomatology, but does not fully explain global symptom burden. Future studies should employ domain-specific symptom assessments (e.g., differentiating orthostatic from vertiginous or proprioceptive dizziness) and targeted physiological testing to further elucidate these relationships.
Keywords
Introduction
Mild traumatic brain injury (mTBI; aka concussion) can present with symptoms of dizziness, headache, and brain fog.1,2 Impairment of the cardiovascular autonomic nervous system has been proposed as a potential mechanism for such symptoms.1–5 More specifically, symptoms of dizziness or headache that are provoked during physiological stress (such as exercise and upright activity) have been attributed to a so-called “autonomic” symptomatic subtype6,7—an emerging clinical profile that has recently been added to the previously established subtype framework8,9—presumed to reflect impaired cerebral blood flow and/or autoregulation,10,11 perhaps via arterial baroreflex function.12–16 However, while prior work has indeed demonstrated altered baroreflex function after concussion,12,13,15–18 the variable methodology and inclusion criteria of prior work has limited the certainty of these associations,17,19 and to our knowledge none have directly evaluated orthostatic control of heart rate (HR) and blood pressure (BP) during head-up tilt table testing (HUT) in a relatively acute, adult cohort of post-mTBI participants.
A key advantage of HUT testing is its role as a “stress test” of orthostatic tolerance, with direct clinical implications relative to treatment approaches and symptom burden during activity and other upright behaviors. When paired with heart rate deep breathing (HRDB) and the Valsalva maneuver—the resulting testing battery represents the current clinical standard for evaluation of cardiovascular autonomic function. This battery helps isolate distinct aspects of autonomic physiology, where HRDB evaluates cardiac parasympathetic (vagal) function via the respiratory sinus arrhythmia; the Valsalva maneuver probes both sympathetic and parasympathetic baroreflex-mediated responses through defined hemodynamic phases; and HUT specifically challenges the sympathetic arm of the baroreflex by imposing a sustained orthostatic stress. Despite prior studies evaluating orthostatic tolerance in sport-related and postconcussive populations, most have focused on pediatric/young adult sport concussion and/or relied mainly on active standing testing, as opposed to formal HUT testing.5,14–16,18,20–23 To the best of our knowledge, no prior work has evaluated tilt table responses in relatively acute, adult mTBI. Notably, of the few that did evaluate adults, these were typically focused on a very broad presenting sample (ranging from acute to those with more chronically persisting symptoms after concussion),14,16,23 limiting our understanding of whether the reported changes could be interpreted as an acute versus chronic physiological feature following mTBI.
The purpose of this prospective, observational cohort study was to evaluate orthostatic responses to HUT testing, using beat-to-beat monitoring, alongside standardized cardiovascular autonomic testing in a cohort of adult, all-comer participants with symptomatic mTBI within 14 days of injury. Building from prior work, we hypothesized that mTBI participants would exhibit altered sympathetically mediated responses to baroreflex stimuli, compared to controls. Additionally, we examined the relationship between cardiovascular autonomic control and symptoms to test the prevailing, yet unresolved, premise that mTBI-related symptom burden is associated with underlying autonomic impairment.1,5,19,24
Materials and Methods
Participants
An a priori power analysis was conducted to estimate the sample size required to detect significant differences in cardiovascular responses between participants with mTBI and healthy controls. Using previously published data from Dobson et al., which examined the effect of orthostatic challenge (standing) on cardiovascular responses (specifically change in systolic BP) in participants with mTBI, we calculated a pooled Cohen’s d of 0.86. Thus, at 80% power with an alpha level of 0.05, we estimated that a sample size of 44 (22 subjects per group) would be needed to make group-wise comparisons. Accounting for the dissimilarities in the study population, the heterogeneous nature of injury mechanisms and recovery in mTBI,2,15,25–28 and to allow for control of confounding variables (including age, sex, lifetime TBI, and baseline BP), we oversampled to a group size of 35 per group (70 total). Thus, even if the true effect size in the ≤14-day window was attenuated to approximately d = 0.70, the 35-per-group sample would still achieve ∼80% power (required n ≈ 33/group).
Participants were identified and recruited through the University of Utah Health electronic medical records and word of mouth. Data collection for this study was performed with approval from the University of Utah Institutional Review Board.
Inclusion criteria
Participants were required to be between 18 and 70 years of age. mTBI participants were required to have an mTBI diagnosed by a physician and confirmed through questionnaire, 29 remained symptomatic at the time of testing (defined as still experiencing at least one post-mTBI-related symptom), and could complete testing within the acute/subacute period (≤14 days) of injury as defined by consensus statement criteria. 30 Mechanism of injury was based on subject report, which, due to the nature of our recruitment, could not be confirmed by video evidence or second-party reporting. Healthy controls were selected to provide similar age and sex distributions on a group-wise basis.
Exclusion criteria
Potential participants were excluded if they had a history of recurrent headaches (including frequent migraine headaches) and/or were using medications known to alter cardiovascular autonomic function that could not be held for 5 half-lives of the medication. Likewise, we excluded those who had medical diagnoses known to alter autonomic function (e.g., postural orthostatic tachycardia syndrome, diabetes, heart disease, neuropathy). Additional exclusion criteria for healthy controls included a history of mTBI within the past year, three or more lifetime mTBIs, and HR and/or BP regulation problems requiring medical treatment.
Procedures and outcome measures
Symptom assessment
Prior to physiological assessment, participants completed a series of online questionnaires using the Research Electronic Data Capture (REDCap) system, 31 including a brief medical and mTBI history, along with symptom assessment using the Rivermead Post-Concussion Symptom Questionnaire (RPQ). The RPQ is a self-report scale designed to measure symptom severity after mTBI. 32 It is a 16-item questionnaire with a rating scale from 0 (not experienced at all) to 4 (a severe problem). The RPQ utilizes phrasing that specifically asks the subject to rate a change in symptoms since the injury, compared to any preinjury symptom baseline. The RPQ has been shown to detect even mild postconcussion symptoms in subjects tested within 2 weeks post injury.33,34
Physiological assessment overview
Participants completed lab-based standardized autonomic testing according to published methods for the comprehensive assessment of cardiovascular autonomic function. 35 The battery included HR/BP changes during a 10-min head-up tilt testing (HUT), HRDB, and HR and BP changes to Valsalva, using noninvasive, continuous beat-to-beat BP and HR monitoring (Nexfin Model 2, Edwards Lifesciences/BMEYE, Amsterdam, Netherlands; and CNAP Monitor 500, CNSystems Medizintechnik GmbH, Graz, Austria).36–39 All testing was performed in a controlled environment to minimize distractions and associated physiological arousal. After testing, signals were visualized to assess data quality and normality, and analyzed for cardiovagal and cardiovascular adrenergic reflex metrics (detailed below) using Testworks software (WR Medical Electronics Co., Stillwater, MN).
HUT table test
Tilt table testing evaluates HR and BP responses to passive HUT, including sympathetically mediated changes in HR/BP, resulting from orthostatic challenge. 35 Here, following an additional initial 5-min rest period (Supine), the head of the table was elevated to a 70° HUT for 10 min. 40 Symptoms, HR, and BP were monitored throughout the test. For analysis, segments were defined as an initial 5-min period (Supine) followed by a 10-min upright (HUT) period. Mean blood pressure (MBP) and heart rate (MHR), along with BP/HR standard deviation (BPSD, HRSD), were calculated for each segment.
HR deep breathing
In brief, heart rate response to deep breathing (HRDB) was used to test cardiac parasympathetic function via the respiratory sinus arrhythmia. 35 After a 1-min supine rest period, participants were instructed to inhale and exhale for 5 sec each, using a visual cue, repeating each over 8 cycles. Following a 2-min break, a second set of 8 breathing cycles was completed. 40 The mean HR range (MHRR) was calculated by subtracting the maximum HR during inspiration from the minimum HR during expiration for each cycle of breathing, and calculating the mean of these differences. 41 A difference of less than 10 is considered to indicate abnormal parasympathetic function. 42
Valsalva maneuver
The Valsalva maneuver (VM) is used to evaluate cardiovascular adrenergic function via baroreflex-mediated BP and HR responses. 35 Here, subjects complete a 20-min supine rest period before forcefully expiring into a mouthpiece for 15 sec at an expiratory pressure of 40 mmHg. The beat-to-beat BP profile of a standardized 15-sec Valsalva maneuver was used to evaluate four defined physiologically distinct phases43,44: Phase I, which occurs upon the start of the VM and consists of a rapid increase in BP reflecting mechanical compression primarily of the vena cava, and secondarily the aorta, resulting in a compensatory decrease in HR to compensate for the rise in BP; Phase II, which consists of a rapid fall in BP due to the initial reduction in venous return and cardiac output, followed by the recovery of BP due to sympathetic vasoconstriction and increased HR; Phase III, which occurs upon termination of the VM and is a result of decreased intrathoracic pressure, which causes a rapid decrease in BP43,44; and Phase IV, which reflects recovery of venous return and cardiac output with continued vasoconstriction, resulting in an overshoot of BP and compensatory decrease in HR.43,44 The Valsalva ratio (VR) was calculated as the shortest R-R interval during phase II divided by the longest R-R interval during phase IV. This reflects the relationship between the sympathetically mediated increase in HR expected during phase II and the largely parasympathetically driven reflex reduction in HR during phase IV.43,45 A VR value below 1.21 is considered abnormal. 42 Adrenergic baroreflex sensitivity (BRSa) is defined as the systolic blood pressure (SBP) decrement associated with Phase 3 of the Valsalva, divided by the BP recovery time (PRT), as a measure of adrenergic sensitivity. 46 BRSa is utilized as an additional measure of baroreflex sensitivity that complements the vagally driven VR and is abnormally reduced in autonomic failure; values typically range between 10 and 55 mmHg/sec in a control population aged 36–66. 46
HR and BP variability analysis via continuous wavelet transform
Further analysis of HR and BP during supine and HUT was performed using custom MATLAB (MathWorks, Natick, MA) algorithms to provide additional insight into parasympathetic and sympathetic output during the HUT assessment. In brief, continuous HR and BP data were resampled after the R-R interval was calculated to a fixed 1 Hz to permit continuous wavelet transformations necessary to obtain time-varying frequency spectra of the HR and BP signals. Average power across the following frequency ranges was calculated for each segment (supine and HUT): high frequency (HF), 0.15–0.4 Hz; low frequency (LF), 0.04–0.15 Hz.47–50 Based on previously published work, the HF component is demonstrated to reflect parasympathetic output, whereas the LF component is more mechanistically mixed, though it is generally considered to represent sympathetic control of the baroreflex, in particular when linked to a known activator of sympathetic outflow (e.g., HUT).26,47,51,52
Statistical analysis
All data were screened for the assumptions of parametric statistical tests and reported according to the most appropriate metric based on normality. Accordingly, between-group comparisons were made using Student’s t-test or Mann–Whitney U tests, and variables were reported as mean/median and standard deviation (SD)/interquartile range, respectively. For purposes of hypothesis testing, and based on prior work suggesting stimulus-dependent changes in sympathetic function,12–16,18 we designated LF power during HUT as our primary outcome, 51 and BP/HR variability (SD) as secondary/exploratory outcomes. 50 All other measures were conducted to support a comprehensive characterization of autonomic function in our sample. As such, multiple independent measures of parasympathetic and sympathetic function were included, as is consistent with standard practice in clinical standardized autonomic testing (where the expected intervariable correlation supports interpretability and parsimony of localization of findings, while facilitating comparison to other disorders of autonomic dysfunction).
Our predesignated primary outcomes (LF during HUT) for exploring between-group differences include four possible physiological outputs (systolic/mean/diastolic BP and HR). As such, we applied multiple comparison corrections to our primary hypothesis testing, where a p value of less than 0.013 was considered statistically significant.
Assessment of covariates
Key clinical factors, including baseline BP, age and sex, have been shown to influence autonomic testing measures. 42 Lifetime history of mTBI may also impact recovery trajectories, though it is unclear how this influence persists relative to changes in autonomic function. 53 Post hoc linear regression assessed the effect of these covariates on the primary outcome/comparison of LF power between mTBI and controls.
Post hoc calculation of symptom correlations
To evaluate the association between the primary physiological measures (outcomes) and symptom scores (RPQ), Spearman’s rho correlation coefficients were calculated. Strength, direction, and statistical significance were interpreted to be strong if >0.7, moderate 0.4–0.7, and weak if < 0.4. 54
Results
A total of 70 participants, 35 with mTBI and 35 healthy control subjects, completed the symptom and laboratory assessments between February 2021 and January 2025 (19 participants, 6 controls and 13 mTBI did not complete a VM due to restrictions around this procedure during the COVID-19 pandemic). The mechanism of concussion injury is categorized by the four most common types of contextual situations leading to a concussion injury. 55 Six participants did not disclose their mechanism of injury. There were no statistically significant differences in sex or age between groups, nor in BP/HR at baseline (supine) or during HUT. However, postconcussion symptom severity score (RPQ) and previous lifetime history of mTBI and symptom scores were significantly higher in the mTBI group (<0.001). (Table 1).
Clinical Characteristics of Sample
*Statistically significant difference.
BP, blood pressure; bpm, beats per minute; HR, heart rate; HUT, head-up tilt; IQR, interquartile range; mTBI, mild traumatic brain injury; SD, standard deviation.
The results of standardized autonomic testing and tilt table testing are summarized in Table 2. Supine-based HR and BP variability (SD and LF power) did not differ between groups, nor did MHRR, Valalva ratio, or total HF power of supine HR variability. However, HF power of HR during HUT did trend lower in mTBI than controls (p = 0.02). Total LF power in the HUT position for HR and BP was significantly reduced in individuals with mTBI compared to controls (p < 0.013; see Table 2 for summary).
Measures of Autonomic Function
Total power is reported for LF and HF domains; the unit for HR calculations is bpm2 and BP is mmHg2. HR/BP variability was quantified by standard deviation.
Statistically significant difference, based on p < 0.013.
BP, blood pressure; BRSa, adrenergic barosensitivity; HF, high frequency; HR, heart rate; HUT, head-up tilt; LF, low frequency; MHRR, mean heart rate range; SD, standard deviation.
To examine whether group-wise differences in HR and mean BP variability (SD) were associated with altered baroreflex function, estimated by LF total power, Spearman’s rho test was used. Here, we found a significant positive correlation between HR variability (SD) and total LF power in HR and mean BP during HUT (0.88 and 0.51, respectively; p < 0.001). This was confirmed using post hoc linear regression, controlling for age, sex, baseline systolic BP, lifetime mTBI history, and symptom score as covariates. The resulting model testing differences in LF power (of systolic BP) between mTBI and controls remained significant (Analysis of Variance [ANOVA] p = 0.001; 95% confidence interval 112.90–125.18).
Finally, to evaluate the relationship between postconcussive symptom scores (RPQ) and our primary physiological outcomes (LF power of BP/HR during HUT) across the full sample of controls and mTBI, Spearman’s rho revealed weak, nonsignficant correlations, between RPQ and LF of mean BP during HUT, as well as RPQ and LF of HR during HUT (rho −0.17 and −0.26 respectively for RPQ), as well as weak associations between secondary outcomes of BP/HR SD during HUT (rho −0.19 to −0.31). When evaluated specifically within the mTBI group of interest, correlations remained weak and nonsignficant (see Fig. 1).

Rivermead postconcussion symptom scores were only weakly associated with primary autonomic measures during HUT.
Discussion
The results of this study support previously published work showing abnormal autonomic function in mTBI by providing additional evidence of abnormal responses to orthostatic challenge and reduced HR and BP variability (and related LF and HF power) in individuals with symptomatic mTBI.13,48,53 These data advance earlier reports by demonstrating blunted sympathetically mediated baroreflex responses to HUT—lower total LF power of HR and BP during HUT in individuals with mTBI compared to controls—in addition to reduced HR/BP variability.13,48,53 Such state-dependent abnormalities further implicate deficiencies in stressor-evoked sympathetic (and to a lesser extent vagal) output, demonstrated in prior work, while confirming that these findings are indeed present during the early post injury phase (≤14 days) and in response to upright challenge (the latter being ecologically relevant to day-to-day activity).12–16,18,56,57
Notably, while the current study did not find group differences in standardized cardiovascular autonomic testing metrics (namely, measures of BRSa, MHRR, VR; Table 2), our results are consistent with prior work suggesting that the most robust differences (mTBI vs. controls) are observed in response to stressor-evoked provocation.12–16,18,56,57 HUT was intentionally selected as the test of primary interest because it provides both a standardized and physiologically relevant orthostatic stressor, mimicking the postural transitions of daily activity (e.g., standing, walking). Orthostatic intolerance—including symptoms upon postural change—has been reported at higher rates in concussed adolescents compared to controls. Haider et al. found that concussed adolescents had smaller changes in HR when moving from supine to standing (n = 297 mTBI, 214 controls), consistent with cardioautonomic dysfunction upon postural change. 14 Heyer et al. similarly demonstrated orthostatic intolerance in youth with persistent postconcussion symptoms using HUT. 18 Thus, we hypothesized that abnormal arterial baroreflex-mediated control of HR and BP would be present. In support of this premise, Leddy et al. proposed that ANS dysfunction following concussion impairs the regulation of cerebral blood flow during exercise, with inappropriately elevated arterial CO2 levels driving CBF out of proportion to exercise intensity—a mechanism that may also be operative during passive upright challenge. 58 Our study advances prior work by expanding into a more generalizable patient population (beyond sports concussion in young adults/adolescents), while still limiting the scope to the subacute period post injury.
Throughout the literature, HR variability has been widely used to investigate the “balance” between parasympathetic or sympathetic mechanisms of cardiovascular autonomic regulation.48,53 Reductions in HR variability, as well as in total LF and HF power, have been associated with constrained dynamic range and flexibility in autonomic responses relative to daily life, reducing physiological adaptability and resilience. Therefore, the decrease in HR/BP variability in the HUT position observed in the current study, combined with the significant differences in HUT-LF power in mTBI participants, supports our initial hypothesis of impaired autonomically mediated responses to orthostatic challenge. Such changes could plausibly contribute to altered cerebral blood flow after mTBI, which has been shown both acutely and chronically, and to hypoperfusion of the brain, potentially explaining some of the symptom burden seen during everyday tasks/daily routines.11,59–61 Future studies might pair targeted physiological testing of cerebral blood flow with sympathetic autonomic evaluation to further confirm this relationship.22,62
Although an individual’s symptom profile is often used to categorize impairment and guide treatment after mTBI,30,63–65 we found relatively weak relationships between measures of HR/BP variability and overall symptom scores in our cohort (with nonsignificant correlations ranging from −0.17 to −0.26). A similar finding was also demonstrated between mean change in HR during HUT and symptom score. 20 Together, these findings support the widely held view that multiple physiological impairments likely contribute to clinically overlapping symptom profiles after mTBI. 66 This is critically important within clinical care as treatment protocols are typically based on the categorization of symptoms after mTBI. The understanding that multiple, potentially overlapping physiological impairments can contribute to symptom profiles should help clinicians to avoid over-isolating targeted treatment, and rather, guide them to assess the performance of multiple physiological systems regardless of symptom profile. For example, an mTBI patient where dizziness and headache are prominent, and who is not responding to vestibular rehab alone, may require additional orthostatic retraining in parallel (in addition to treatment of balance/oculomotor dysfunction). Future studies might attempt to parse domain-specific symptom assessments to differentiate variable sources of “dizziness” and related symptoms that are currently beyond the scope of the RPQ to discern (e.g., orthostatic vs. vestibular vs. proprioceptive symptoms), combined with mechanism-targeted physiological testing, to better understand the contributions of impaired autonomic function to clinical symptomatology.22,62
To our knowledge, there are few, if any, prior studies that have reported complete standardized autonomic testing in mTBI participants compared to controls. Interestingly, a recent study that included moderate and severe traumatic brain injury (TBI) patients similarly failed to show definite group-wise differences on standard autonomic tests (e.g., HUT, Valsalva, and HRDB measures). 67 Given those findings in more severe TBIs, the lack of abnormalities on standard laboratory autonomic measures in individuals with mTBI is perhaps not entirely surprising. It is important to note that the clinical battery of cardiovascular autonomic tests was chiefly developed to evaluate syndromes of autonomic failure. Thus, the standard clinical battery, and related clinical normative data ranges, may be insensitive to lesser injuries. 68 Furthermore, the most widely used standardized autonomic testing battery (commonly referred to as the Ewing battery) is most sensitive and specific in the assessment of lesion-based diseases such as autonomic neuropathy and/or pure autonomic failure, where the neuroanatomical distribution of the pathology is fairly discrete (in contrast to the presumed network dysfunction that is present in TBI).
Limitations and directions for future research
A key limitation of this study is the absence of preinjury or longitudinal (time-series) data on cardiovascular autonomic responses for our mTBI participants. As a result, it remains unresolved whether—and to what extent—the observed abnormalities in HUT-based HR and BP control varied over time, and with both symptomatic and physiological recovery. Importantly, it is not known whether autonomic dysfunction is truly symptomatic versus an isolated physiological feature (as implied by our findings, and others, where autonomic impairment fails to correlate strongly with symptoms). Balestrini et al. found that cardiovagal dysfunction, as measured by RMSSD, persisted beyond clinical symptom resolution in concussed adolescents. 69 This supports the concept that physiological impairment might outlast clinical recovery. Indeed, weak symptom-physiology correlations are in fact a consistent finding in studies interrogating autonomically controlled cardiovascular physiology: Antonellis et al. found that NSI total scores were unrelated to max HR achieved during the Buffalo Concussion Treadmill Test in both exercise-intolerant (r = 0.184, p = 0.249) and exercise-tolerant (r = 0.291, p = 0.085) groups. 70 Richer et al. similarly found that autonomic cardioregulatory function did not correlate with symptom improvement. 20 These convergent findings strengthen the present study’s finding of modest correlations with symptoms, though do not negate the potential value of objectively verifiable changes in physiology (which might prove useful as biomarkers of recovery and/or treatment response), as previous studies have also demonstrated the limitations of self-reported symptom measures.71,72
In the current study, we intentionally sought to control threats to internal validity by constraining the time since injury in the mTBI group, and controlling for baseline BP. Additionally, we included post hoc regression analysis to examine the role of lifetime mTBI history (TBI “dose”). The recruitment timeframe (≤14 days post injury) was selected based on prior evidence suggesting that this period represents one of maximal pathophysiological disruption following mTBI, as evidenced by neurometabolic cascade data and by neuroimaging studies demonstrating dynamic changes in cerebral blood flow and brain function within the first week of injury.11,61 Furthermore, Wright et al. demonstrated that dynamic cerebral autoregulation remained significantly impaired at 2 weeks (18% reduction) postconcussion, with recovery by 1 month. 73 Indeed, given the unresolved nature of the relationship of symptoms and autonomic impairment, our first approach was to focus enrollment on symptomatic participants—particularly given evidence that exercise intolerance, a (presumed) hallmark of autonomic dysfunction, is common and pervasive across all established mTBI subtypes. 70
It should also be noted that our a priori power calculation was based on an effect size derived from orthostatic cardiovascular responses measured at 48–72 h post injury in Dobson et al.. 15 To the extent that sympathetically mediated orthostatic dysfunction may attenuate between the acute (<72 h) and subacute (≤14-day) windows, the adopted effect size may not fully account for this temporal variation. We attempted to partially mitigate this uncertainty through deliberate oversampling beyond the minimum required sample. Furthermore, the broad age range of our sample (18–70 years) introduces known inter-individual variation in cardiovascular autonomic responses to orthostatic challenge, which may have contributed to heterogeneity in our HUT-based outcome measures despite age-matching and covariate adjustment.74,75 Future studies would benefit from sample sizes sufficient to allow stratification based on mechanism of injury, symptom (or clinical) phenotypes, and/or performance-based criteria (e.g., exercise testing). Longitudinal studies, including pre- and postinjury testing, may also aid in understanding the degree to which autonomic dysfunction, and specifically responses to orthostatic challenge, evolve with symptom resolution and physiological recovery. Finally, as introduced above, the addition of direct measures of intracranial blood flow and arterial blood gases, such as near-infrared spectroscopy/or transcranial Doppler ultrasound, and PETCO, 2 alongside cardiovascular autonomic measures, would also enhance the interpretation of this relationship.760
Conclusion
A blunted sympathetic response to orthostatic challenge (HUT), where a robust increase in sympathetic activity is expected, may contribute to symptoms after mTBI. Clinically, caution should be taken when using symptom reports in isolation, as commonly used symptom scores may lack the capacity to localize cardiovascular autonomic impairment after mTBI and to inform clinical treatment plans.
Transparency, Rigor, and Reproducibility Statement
Sample size was 70 participants, 35 with mTBI and 35 healthy control subjects, based on a priori power analysis using the effect size results in Dobson et al. for standing systolic BP (Cohen’s d = 0.86), at 80% power with an
Authors’ Contributions
R.P.: Conceptualization, methodology, formal analysis, data curation, and writing—original draft. G.L.: Data curation and writing—reviewing and editing. C.M.: Investigation, data curation, and writing—reviewing and editing. P.C.F.: Methodology, software, formal analysis, funding acquisition, and writing—reviewing and editing. L.E.D.: Conceptualization, methodology, and writing—reviewing and editing. D.J.P.: Writing—reviewing and editing. J.S.K.: Writing—reviewing and editing. M.M.C.: Conceptualization, methodology, formal analysis, validation, supervision, and writing—reviewing and editing.
Footnotes
Acknowledgments
The authors thank Alex Billings, Sarah Hill, and Paula Johnson for contributing to subject testing and data collection.
Author Disclosure Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest.
Funding Information
Research reported in this publication was partially supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number
