Abstract
We evaluated cerebral blood flow (CBF) in chronic pediatric mild traumatic brain injury (mTBI) using arterial spin labeling (ASL) magnetic resonance imaging perfusion. mTBI patients showed lower CBF than controls in bilateral frontotemporal regions, with no between-group cognitive differences. Findings suggest ASL may be useful to assess functional abnormalities in pediatric mTBI.
Pediatric mild traumatic brain injury (mTBI) or concussion is a significant public health concern. While symptoms typically resolve, persistent sequelae from mild injuries in some patients can be particularly disruptive to the developing brain, and may be longer-lasting in children, potentially contributing to the development of further emotional, behavioral, and cognitive concerns (Choe, Babikian, DiFiori, Hovda, & Giza, 2012; Maugans, Farley, Altaye, Leach, & Cecil, 2012). The developing brain differs from that of a mature adult, as neuronal systems develop at different rates during childhood and brain changes are dramatic. Thus, the injury and recovery processes may also differ, especially while still symptomatic from an initial injury (Choe et al., 2012). Delayed recovery of cognitive function and other self-reported symptoms have been found in children compared with adults after concussion. This lengthened recovery may place youth at risk for repeated concussions. Even after symptom resolution, neurons under such a state of physiologic stress function abnormally and may remain susceptible to second injury (Maugans et al., 2012).
The pathophysiology of concussion is poorly understood. It is increasingly clear that cerebrovascular alterations play a role in the evolution of TBI sequelae as well as in the process of brain repair (Len & Neary, 2011; Metting, Spikman, Rödiger, & van der Naalt, 2014). Measurement of cerebral blood flow (CBF) in vivo can therefore enhance the understanding of neurovascular mechanisms underpinning recovery from TBI, and how pediatric injury may alter neuronal functioning and contribute to persistent sequelae. Arterial spin labeling (ASL) is an advanced magnetic resonance imaging (MRI) technique that measures CBF noninvasively using magnetically labeled arterial blood water as an endogenous contrast tracer, without radiation exposure (Wang et al., 2003). This study examined CBF in chronic pediatric mTBI patients compared to healthy controls (HC). We hypothesized that mTBI patients would demonstrate lower regional CBF than HC.
METHODS
Participants included 14 adolescents (mean age 15.1 ± 0.92 years) who sustained a concussion/mTBI 3–12 months (mean 7.4 ± 2.4) prior to participation. Mechanism of injury was sports-related/ recreational; seven patients reported prior concussions. The HC group included 15 adolescents (mean age 14.5 ± 0.99 years) with no history of TBI. All participants had no history of other neurological, psychiatric, or systemic medical disorder likely to affect brain function.
A targeted neuropsychological and parent-report battery focused on attention-related and executive functions and episodic memory, given the high incidence of subjective complaints in these areas following mTBI and prior research suggesting that measures in these domains are most sensitive to concussion-related changes (McCrea et al., 2009). Screening measures for intellect, academic achievement, language, psychomotor skills, and affective/behavioral status were also administered. Subtest scores were z-transformed based on the HC group mean, combined into cognitive domain scores (memory, executive functioning, attention, processing and motor speed, and reaction time), and analyzed using SPSS (version 21).
MRI was conducted on a 3T scanner (Siemens Tim Trio) using a 12-channel head coil. Subjects were scanned in a conscious resting state with closed eyes. Cerebral perfusion measurements used the Q2TIPS PASL sequence (Wang et al., 2011). Optimized inversion time delays were chosen as TI1/TI2 = 700/1800ms to minimize intravascular signal intensity. Interleaved label and control images were acquired using a gradient-echo single shot EPI readout, with parameters: TR/TE = 3000/13 msec, 24 axial slices with voxel size of 3.75 mm x 3.75 mm x 5 mm. Each PASL scan has 100 dynamic measurements (50 control and label image pairs) plus one M0 map. Online 3D motion correction was applied to minimize head motion artifact during acquisition. A high resolution T1-weighted MPRAGE was acquired for anatomical reference, and an SWI series was obtained for neuroradiological read.
PASL data analysis was performed using an updated version of our previously published methods (Wang et al., 2011). Images were corrected for motion, pair-wise subtracted between label and control images, and averaged to generate a mean difference image. Quantitative CBF maps were calculated based on a single compartment model incorporating in vivo measurement of blood T1 and labeling efficiency (Wang et al., 2003, 2011). Individual CBF maps were co-registered with the MPRAGE, then normalized using the canonical Montréal Neurological Institute template and spatially smoothed. The general linear model including age and sex as covariates was utilized in SPM8 for voxel-wise group analysis, with Family-Wise Error (FWE) correction for multiple comparisons. Mean CBF was compared in SPSS.
RESULTS
Clinical neuroradiological reading revealed no acute intracranial abnormalities. There were no between-group (HC versus mTBI) differences for age, gender, maternal education, or any neuropsychological domains. mTBI patients showed significantly lower CBF than HC in bilateral frontotemporal regions (overall pcrit < .01, cluster-level pFWE-corr < .05, Figure 1). No region showed significantly greater CBF in mTBI patients than HC. mTBI groups (1 mTBI versus >1 mTBI) did not differ in mean CBF (p = .359), although both showed lower CBF than HC (ps = .022 and .002, respectively, Figure 1). mTBI groups did not differ from each other or HC for neuropsychological performance.
FIGURE 1.
Between-group differences in cerebral perfusion as measured by PASL (Pulsed Arterial Spin Labeling) magnetic resonance imagining. Healthy controls showed significantly greater cerebral blood flow (CBF) than mild traumatic brain injury (mTBI) patients in bilateral frontotemporal regions. No regions showed significantly greater CBF in mTBI patients than controls. There was no significant difference in mean CBF between patients who had a history of 1 versus >1 mTBI, although both mTBI groups showed lower CBF than controls (see text for p values, error bars are standard error, L = Left, R = Right).
DISCUSSION
We found lower regional CBF in pediatric mTBI patients on average seven months post-injury, despite normal conventional MRI and neuropsychological performance. These findings are consistent with work by Maugans and colleagues (2012) using MR phase contrast angiography showing reduced CBF after pediatric concussion which persisted >30 days post-injury. No prior studies have utilized PASL to examine CBF in pediatric mTBI. It has been theorized that pediatric concussion may be primarily a neurophysiologic injury, affecting CBF without evidence of measurable structural, metabolic, neuronal, or axonal injury (Maugans et al., 2012). Our results suggest that pediatric concussion may produce a pathophysiologic process resulting in altered CBF, with a variable and possibly protracted timeframe for resolution. Understanding the pathophysiology of pediatric concussion may open novel therapeutic avenues to decrease symptom persistence and prevent further injury.
Traditional brain imaging or cognitive assessment techniques appear insensitive to underlying pathophysiologic post-concussive processes; advanced neuroimaging applications may provide more specificity in accurately diagnosing mTBI. ASL perfusion measurement appears well-suited for longitudinal studies of CBF in healthy and diseased individuals, or as a surrogate marker of metabolism (Detre, Rao, Wang, Chen, & Wang, 2012; Wang et al., 2003). Very limited applications of ASL in adult patients with chronic TBI have demonstrated decreased CBF (Ge et al., 2009; Kim et al., 2010). Extending these previous findings, our results also suggest that ASL MRI may serve as an important tool to assess underlying functional abnormality in adolescents with chronic mTBI. One limitation of the present study is a modest sample size, limiting ability to examine the relationship of CBF to other factors of interest such as cognitive or injury variables. For example, we compared mTBI patients with one versus multiple concussions, and found no between-group differences in mean CBF, though both were reduced relative to HC. Graphical illustration of the data, however, suggest that with larger samples this effect may become significant. Such a finding could have important clinical implications in terms of risk of subsequent concussion. Larger longitudinal studies should assess CBF changes at different post-injury stages and relate findings to cognitive and post-concussive symptom status, to further elucidate mechanisms underlying brain dysfunction and recovery in pediatric mTBI. Comparison and combination with other advanced neuroimaging modalities will be critical to generate imaging biomarkers to guide targeted treatment and management approaches in the future.
Acknowledgments
FUNDING
This work was supported by a grant from the Indiana State Department of Health Spinal Cord and Brain Injury Fund Research Grant Program and by a Project Development Team within the ICTSI NIH/NCRR Grant Number RR025761.
Footnotes
Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/hdvn.
Contributor Information
Yang Wang, Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, and Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.
John D. West, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana
Jessica N. Bailey, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana
Daniel R. Westfall, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, and Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois
Hui Xiao, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, and Department of Radiology, Dongfang Hospital, Fujian, China.
Todd W. Arnold, St.Vincent Sports Performance, Carmel, Indiana
Patrick A. Kersey, St.Vincent Sports Performance, Carmel, Indiana
Andrew J. Saykin, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana
Brenna C. McDonald, Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana
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