Abstract
Background and Purpose
Intracerebral hemorrhage (ICH) has the highest mortality rate among all strokes. While ICH location, lobar versus non-lobar, has been established as a predictor of mortality, less is known regarding the relationship between more specific ICH locations and functional outcome. This review summarizes current work studying how ICH location affects outcome, with an emphasis on how studies designate regions of interest.
Methods
A systematic search of the OVID database for relevant studies was conducted during August 2015. Studies containing an analysis of functional outcome by ICH location or laterality were included. As permitted, the effect size of individual studies was standardized within a meta-analysis.
Results
Thirty-seven studies met the inclusion criteria, the majority of which followed outcome at 3 months. Most studies found better outcomes on the Modified Rankin Scale (mRS) or Glasgow Outcome Score (GOS) with lobar compared to deep ICHs. While most aggregated deep structures for analysis, some studies found poorer outcomes for thalamic ICH in particular. Over half of the studies did not have specific methodological considerations for location designations, including blinding or validation.
Conclusions
Multiple studies have examined motor-centric outcomes, with few studies examining quality of life (QoL) or cognition. Better functional outcomes have been suggested for lobar versus non-lobar ICH; few studies attempted finer topographic comparisons. This study highlights the need for improved reporting in ICH outcomes research, including a detailed description of hemorrhage location, reporting of the full range of functional outcome scales, and inclusion of cognitive and QoL outcomes.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Intracerebral hemorrhage (ICH) accounts for 10–15 % of all strokes but is associated with the highest mortality rate (40–50 %) [1, 2] of all subtypes. However, compared to ischemic stroke, ICH survivors may exhibit greater improvement in short- [3] and long-term recovery [4]. Injury location is an established outcome predictor in both ischemic stroke [5] and ICH [6, 7], but the extent to which it is categorized varies. While ischemic stroke research commonly utilizes specific topographic schema [5] (e.g., globus pallidus versus putamen), most ICH studies focus on differences between lobar and non-lobar hemorrhage [6, 7]. This discrepancy has started to bring attention to ICH studies attempting finer neuroanatomic comparisons [8–10], which have not been reviewed in the literature.
Most prediction tools that utilize ICH location [6, 7] have based their outcomes on mortality or the Modified Rankin Scale (mRS). While prevalent, the mRS is biased toward motor disability [5], neglecting cognitive, emotional, and psychosocial domains. Since these additional domains can also be localized to regions of interest, more precise ICH locations may provide valuable insight on overall prognosis. This descriptive review compiles all studies that evaluated functional outcome by ICH location and considers different location classification schemes. The purpose of this analysis is to (1) enumerate differences in location comparisons and outcome measures, (2) compile our understanding of how ICH location influences prognosis, and (3) discuss shortcomings of current work and future avenues of research.
Methods
Literature Search
A systematic review was undertaken using PRISMA guidelines. A search of the OVID MEDLINE Database (1946–2015) using both MeSH terms and unindexed studies was conducted on August 7, 2015. To ensure the parameters were sensitive enough to capture all studies of interest, 13 studies from a previous preliminary search were used to validate the literature review. Keywords and filters were adjusted until all 13 studies were captured within the final search. The search criteria are outlined in the online supplement (Table I).
Evaluation of Studies
The evaluation of the studies was completed by A.S. and summarized in Fig. 1. Inclusion criteria included any study on the outcome of nontraumatic ICH patients. The exclusion criteria were (1) case reports or meta-analyses, (2) studies exclusively on pregnant or pediatric subjects, (3) inclusion of other neurovascular diseases within the analysis (e.g., ischemic stroke, subarachnoid hemorrhage, vascular malformation, etc.), or (4) outcome limited to mortality or complication (e.g., repeat hemorrhage, seizure, etc.). The methods of the remaining studies were reviewed to ensure that they included a location classification scheme and a statistical analysis that compared outcome by location category. Only studies reporting a statistical analysis were considered for further review.
Details regarding abstracted variables from individual studies are provided in the online supplement (Table II). Due to the fact that studies utilizing the Glasgow Outcome Scale (GOS) employed different numerical designations for outcomes, the numbers were standardized to allow for comparisons across papers (1 = death, 2 = vegetative state, 3 = severe disability, 4 = moderate disability, and 5 = good recovery).
Statistical Analysis
A meta-analysis was conducted for a subset of studies within the review that utilized similar outcome scales, mRS or GOS. Odd ratios were calculated using the most common designation of location (i.e., lobar versus deep or non-lobar). As in previous meta-analyses [11], the mRS and GOS cutoffs of the original studies were utilized and matched to compare between scales (i.e., mRS 3 equivalent to GOS 4). Three studies [1, 12, 13] were excluded because location designation did not match the meta-analysis, and six studies [6, 8, 9, 14–16] did not provide the primary data required for the analysis. Odds ratios, weighted odds ratios (Mantel–Haenszel method [17]), 95 % confidence intervals (CI), and p values of the remaining studies were calculated using Microsoft Excel for Mac 2011 Version 14.1.0 (Microsoft Corporation, Redmond, WA, USA).
Results
Location Designations and Outcome Measures
The location comparisons used for analysis of the 37 studies are detailed in Table 1; the predominant categorization was lobar versus deep or non-lobar ICH. Seventeen unique outcome measures were employed across all studies, summarized in Table 2. The majority utilized the mRS or GOS, with operational definitions of “good” outcome varying between studies. Study design, methodological considerations, and conclusions of all 37 studies are summarized in the online supplement (Table III; Table IV). Methodological considerations to control biases included obtaining location via chart review [18], blinding the abstractors [1, 6, 19–25], calculating interobserver agreement [21], or providing neuroanatomical definitions for location designation [13, 19, 25–29].
Outcomes: Lobar ICH
Lobar ICH was associated with better functional outcomes at 3, 6, and 12 months on the GOS [6, 24, 27] and the mRS [20, 26, 30–32] (p < 0.05 for all studies). Additionally, lobar ICH was associated with better quality of life at 3 months [16] (OR 3.05, p = 0.003). Conversely, one study [33] suggested worse outcomes (OR 2.2, p = 0.028) for lobar ICH at 1 year. Lobar ICH was also associated with greater cognitive impairment (OR 14.1, p = 0.016) in one cross-sectional study [34]. Comparisons within the lobe (i.e., frontal, parietal, temporal, occipital) suggested differences between different lobar regions utilizing the GOS [13] (p = 0.01); no follow-up statistics were provided. Six studies did not show any significant results in regard to lobar ICH [19, 23, 25, 28, 29, 35, 36].
Outcomes: Basal Ganglia, Thalamic, Putaminal ICH
Select studies examined the role of deep ICH specifically, compared to lobar and infratentorial locations combined. In these analyses, deep ICH was associated with worse outcomes on the mRS at 1 month [37] and 3 months [23] (p < 0.02 for both studies).
The influence of thalamic ICH on outcome was studied specifically in five studies. While two studies [28, 47] did not show statistical significance [14, 30], one study [38] suggested poor outcomes on the mRS at 6 months for thalamic ICH (OR 15.637, p = 0.026). Patients with these bleeds also showed worse gains in mobility compared to other deep ICH [39] (p < 0.05). Comparisons between nuclei of the thalamus suggested better outcomes specifically for lateral thalamic nuclei compared to all other thalamic nuclei [12] (p < 0.025).
Putaminal ICH was specifically analyzed in three studies [17, 28, 56]; however, none of these studies achieved statistical significance. One of these studies [39] did exhibit a trend toward worse gains in mobility for putaminal ICH compared to other deep ICH (p = 0.058). Finally, comparisons between putaminal and thalamic ICH did not achieve statistical significance [10, 40].
Outcomes: Infratentorial ICH
Comparisons between supratentorial and infratentorial locations suggested poor mRS outcomes for infratentorial ICH at 3 months [23] and 1 year [1] (p < 0.03 for both studies). However, one study [27] reported better outcomes for cerebellar ICH compared to all other locations at 1 year using the GOS (OR 0.13, p = 0.04).
Outcomes: Laterality
The influence of laterality of hemorrhage was studied in 11 studies, with eight studies [14, 26, 28, 31, 32, 35, 41, 42] reporting nonsignificant results. One study [30] reported better mRS outcomes for left-sided ICH (p = 0.034), while another [15] suggested worse GOS outcomes for this side (p = 0.013). Right-sided ICH showed poorer ability to discriminate objects compared to left-sided ICH in one cross-sectional study [18] (p = 0.009).
Meta-Analysis: Lobar Versus Non-lobar Hemorrhages
Odds ratios were constructed using available data from 21 studies and presented in Fig. 2. The ratios reflect the odds of poor outcome, defined by the individual studies, for lobar ICH compared to deep/non-lobar ICH. Eight studies [24, 30, 31, 37–39, 41, 43] in the meta-analysis achieved statistical significance matching the initial conclusions of the original papers [20, 26, 27, 30–33, 37]. The weighted odds ratio was significant for studies utilizing mRS >3 or GOS <4 for poor outcomes (Fig. 2b).
Discussion
This is the first systematic review to investigate differences in functional outcome of ICH patients by various location classification schemes. Our literature search identified 37 studies, 21 of which were included in a meta-analysis (Table 1; Fig. 2). Most studies concluded better lobar ICH outcomes vs. non-lobar ICH, supported by our own meta-analysis utilizing a cutoff of mRS <4 or GOS >3 (p < 0.005). The one study [33] that presented contrary evidence of poorer lobar ICH prognosis reported wider confidence intervals compared to the other studies of its size, reflecting greater variability in their underlying population. The retrospective nature of the study’s design and noted variability may explain the differing conclusion from the rest of the review.
We also reviewed the potential impact of laterality on ICH outcome. Most of the studies [14, 26, 28, 31, 32, 35, 41, 42] that examined mRS/GOS outcome by laterality failed to show a significant difference, and those that did reported contradictory results [15, 30]. Neither the mRS nor the GOS explicitly consider traditionally lateralized functions (e.g., aphasia, neglect, etc.) when determining scores. While these functions affect recovery and independence, the stronger emphasis on motor-based functioning [10, 23], especially for higher-degree disability (i.e., mRS 3, 4, 5, 6 or GOS 1, 2, 3), could explain the lack of significant results. Only the study utilizing cognitive measures [18] suggested a role for lateralization in prognostication. Thus, differentiating laterality in an analysis may only be prudent in future, non-motor-based studies.
As Table 1 demonstrates, location comparisons vary remarkably between studies especially regarding differentiation of deeper structures. Despite its prevalence, the comparison of lobar to deep/non-lobar ICH has limited clinical value. Unlike a topographic comparison (i.e., internal capsule, thalamus, etc.), which aligns function with location, an anatomical comparison (i.e., lobar, deep, etc.) fails to differentiate between neurological functions. This aggregation of regions can misattribute the influence of an individual region, a concept suggested by studies in the review that analyzed thalamic ICH separately from deep ICH [38, 39]. Given that thalamic ICH accounts for an estimated 8.3–15 % of all ICH [43], it is pragmatic that this region warrants specific consideration. Similarly, the difference in outcomes between different lobar regions [13] prompts consideration of differentiating lobar ICH into its respective lobes for analysis as well.
While an individual study may be underpowered to look at differences between these small divisions, meta-analyses have the potential to leverage this limitation. However, this approach can only be undertaken if studies are consistent with their location schema and methods. Methods to increase consistency in location identification include: (1) validation by a qualified neuroimaging reader, (2) multiple abstractors to replicate results, and (3) adjudication of conflicting abstraction by a qualified neuroimaging reader. Additionally, new advancements in imaging techniques are addressing current limitations in performing more refined location analyses. Research within ischemic stroke now utilizes programs to correlate functional measures to a voxel-to-voxel base [5]. While this technique has yet to be applied to ICH patients, recent studies are attempting other quantitative approaches to validate localization of hemorrhage against neuroanatomical atlases [44].
Our current understanding of the interplay between ICH location and cognitive, mood, and QoL outcomes are limited, evidenced by the lack of studies identified by this review. The results are currently confined to lobar ICH and suggest a mixed picture of poorer cognitive outcomes [34] yet better QoL [16]. There has been no systematic attempt to examine cognition prospectively and assess rate of recovery by location. Additionally, no location studies have utilized a QoL measure specific to neurological disease [22, 24] in this patient population. All these clinical questions highlight potential avenues for future research.
The review has certain limitations that must be kept in mind when interpreting the results. In particular, studies were not excluded based on quality or intervention. Due to the limited amount of suitable studies and different methodological approaches, we chose to highlight different methods utilized to examine this topic. Although this affects the generalizability of the results, this was a necessary step to accomplish a thorough descriptive review of different outcome measures. An additional limitation is the exclusion of studies that failed to report statistics regarding our analysis of interest. This is a necessary limitation when comparing studies and assessing reproducibility. Finally, the majority of studies were conducted in Asia, consequently limiting generalizability to Western countries [45].
This review highlights the need for ICH outcome research to include location to a higher degree of resolution than is currently being analyzed. While the practicality of a voxel-to-voxel analysis may not be available for ICH research yet, location analyses with more specific topographic comparisons are beneficial to future research and clinical practice. Future studies should emphasize cognition, mood, and QoL of ICH patients, which are currently lacking. Additionally, standardization in imaging abstraction will allow for better comparisons between studies as well as evaluation of other imaging-based characteristics (i.e., midline shift, hemorrhage volume). In the future, our understanding of ICH location can better guide meaningful endpoints for clinical trials and help improve prognostication of outcome.
References
Ji R, Shen H, Pan Y, Wang P, Liu G, Wang Y, et al. A novel risk score to predict 1-year functional outcome after intracerebral hemorrhage and comparison with existing scores. Crit Care. 2013;17:R275.
Rathor MY, Rani MF, Jamalludin AR, Amran M, Shahrin TC, Shah A. Prediction of functional outcome in patients with primary intracerebral hemorrhage by clinical-computed tomographic correlations. J Res Med Sci. 2012;17:1056–62.
Katrak PH, Black D, Peeva V. Do stroke patients with intracerebral hemorrhage have a better functional outcome than patients with cerebral infarction? Pm R. 2009;1:427–33.
Hemphill JC 3rd, Farrant M, Neill TA Jr. Prospective validation of the ich score for 12-month functional outcome. Neurology. 2009;73:1088–94.
Wu O, Cloonan L, Mocking SJ, Bouts MJ, Copen WA, Cougo-Pinto PT, et al. Role of acute lesion topography in initial ischemic stroke severity and long-term functional outcomes. Stroke. 2015;46:2438–44.
Rost NS, Smith EE, Chang Y, Snider RW, Chanderraj R, Schwab K, et al. Prediction of functional outcome in patients with primary intracerebral hemorrhage: the func score. Stroke. 2008;39:2304–9.
Hemphill JC 3rd, Bonovich DC, Besmertis L, Manley GT, Johnston SC. The ich score: a simple, reliable grading scale for intracerebral hemorrhage. Stroke. 2001;32:891–7.
Koga M, Toyoda K, Yamagami H, Okuda S, Okada Y, Kimura K, et al. Systolic blood pressure lowering to 160 mmhg or less using nicardipine in acute intracerebral hemorrhage: a prospective, multicenter, observational study (the stroke acute management with urgent risk-factor assessment and improvement-intracerebral hemorrhage study). J Hypertens. 2012;30:2357–64.
Kim JK, Shin JJ, Park SK, Hwang YS, Kim TH, Shin HS. Prognostic factors and clinical outcomes of acute intracerebral hemorrhage in patients with chronic kidney disease. J Korean Neurosurg Soc. 2013;54:296–301.
Enatsu R, Asahi M, Matsumoto M, Hirai O. Prognostic factors of motor recovery after stereotactic evacuation of intracerebral hematoma. Tohoku J Exp Med. 2012;227:63–7.
Reddy D, Fallah A, Petropoulos JA, Farrokhyar F, Macdonald RL, Jichici D. Prophylactic magnesium sulfate for aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis. Neurocrit Care. 2014;21:356–64.
Kwak R, Kadoya S, Suzuki T. Factors affecting the prognosis in thalamic hemorrhage. Stroke. 1983;14:493–500.
Izumihara A, Ishihara T, Iwamoto N, Yamashita K, Ito H. Postoperative outcome of 37 patients with lobar intracerebral hemorrhage related to cerebral amyloid angiopathy. Stroke. 1999;30:29–33.
Daverat P, Castel JP, Dartigues JF, Orgogozo JM. Death and functional outcome after spontaneous intracerebral hemorrhage. A prospective study of 166 cases using multivariate analysis. Stroke. 1991;22:1–6.
Esquenazi Y, Savitz SI, El Khoury R, McIntosh MA, Grotta JC, Tandon N. Decompressive hemicraniectomy with or without clot evacuation for large spontaneous supratentorial intracerebral hemorrhages. Clin Neurol Neurosurg. 2015;128:117–22.
Christensen MC, Mayer S, Ferran JM. Quality of life after intracerebral hemorrhage: results of the factor seven for acute hemorrhagic stroke (fast) trial. Stroke. 2009;40:1677–82.
Fleiss JL, Levin B, Paik MC. Statistical methods for rates and proportions. 3rd ed. Hoboken: Wiley; 2004.
Su CY, Chang JJ, Chen HM, Su CJ, Chien TH, Huang MH. Perceptual differences between stroke patients with cerebral infarction and intracerebral hemorrhage. Arch Phys Med Rehabil. 2000;81:706–14.
Wang W, Yang Z, Liu L, Dornbos D 3rd, Wang C, Song X, et al. Relationship between transcranial doppler variables in acute stage and outcome of intracerebral hemorrhage. Neurol Res. 2011;33:487–93.
Castellanos M, Leira R, Tejada J, Gil-Peralta A, Davalos A, Castillo J, et al. Predictors of good outcome in medium to large spontaneous supratentorial intracerebral haemorrhages. J Neurol Neurosurg Psychiatry. 2005;76:691–5.
Garcia PY, Roussel M, Bugnicourt JM, Lamy C, Canaple S, Peltier J, et al. Cognitive impairment and dementia after intracerebral hemorrhage: a cross-sectional study of a hospital-based series. J Stroke Cerebrovasc Dis. 2013;22:80–6.
Tao WD, Wang J, Schlaug G, Liu M, Selim MH. A comparative study of fractional anisotropy measures and ich score in predicting functional outcomes after intracerebral hemorrhage. Neurocrit Care. 2014;21:417–25.
Hu X, Fang Y, Ye F, Lin S, Li H, You C, et al. Effects of plasma d-dimer levels on early mortality and long-term functional outcome after spontaneous intracerebral hemorrhage. J Clin Neurosci. 2014;21:1364–7.
Lopponen P, Qian C, Tetri S, Juvela S, Huhtakangas J, Bode MK, et al. Predictive value of c-reactive protein for the outcome after primary intracerebral hemorrhage. J Neurosurg. 2014;121:1374–9.
Falcone GJ, Biffi A, Devan WJ, Brouwers HB, Anderson CD, Valant V, et al. Burden of blood pressure-related alleles is associated with larger hematoma volume and worse outcome in intracerebral hemorrhage. Stroke. 2013;44:321–6.
Garibi J, Bilbao G, Pomposo I, Hostalot C. Prognostic factors in a series of 185 consecutive spontaneous supratentorial intracerebral haematomas. Br J Neurosurg. 2002;16:355–61.
Juvela S. Risk factors for impaired outcome after spontaneous intracerebral hemorrhage. Arch Neurol. 1995;52:1193–200.
Keong LH, Ghani AR, Awang MS, Sayuthi S, Idris B, Abdullah JM. The role of a high augmentation index in spontaneous intracerebral hemorrhage to prognosticate mortality. Acta Neurochir Suppl. 2011;111:375–9.
Samarasekera N, Fonville A, Lerpiniere C, Farrall AJ, Wardlaw JM, White PM, et al. Influence of intracerebral hemorrhage location on incidence, characteristics, and outcome: population-based study. Stroke. 2015;46:361–8.
Kim KH. Predictors of 30-day mortality and 90-day functional recovery after primary intracerebral hemorrhage: hospital based multivariate analysis in 585 patients. J Korean Neurosurg Soc. 2009;45:341–9.
Lee HK, Ghani AR, Awang MS, Sayuthi S, Idris B, Abdullah JM. Role of high augmentation index in spontaneous intracerebral haemorrhage. Asian J. 2010;33:42–50.
Hardemark HG, Wesslen N, Persson L. Influence of clinical factors, ct findings and early management on outcome in supratentorial intracerebral hemorrhage. Cerebrovasc Dis. 1999;9:10–21.
Matsukawa H, Shinoda M, Fujii M, Takahashi O, Yamamoto D, Murakata A, et al. Factors associated with lobar vs. Non-lobar intracerebral hemorrhage. Acta Neurol Scand. 2012;126:116–21.
Tveiten A, Ljostad U, Mygland A, Naess H. Functioning of long-term survivors of first-ever intracerebral hemorrhage. Acta Neurol Scand. 2014;129:269–75.
Kwon WK, Park DH, Park KJ, Kang SH, Lee JH, Cho TH, et al. Prognostic factors of clinical outcome after neuronavigation-assisted hematoma drainage in patients with spontaneous intracerebral hemorrhage. Clin Neurol Neurosurg. 2014;123:83–9.
Christensen MC, Mayer SA, Ferran JM, Kissela B. Depressed mood after intracerebral hemorrhage: the fast trial. Cerebrovasc Dis. 2009;27:353–60.
Hungerbuhler MD, Regli MD, Van Melle PD, Bogousslavsky MD. Spontaneous intracerebral haemorrhages (sichs). Clinical and ct features; immediate evaluation of prognosis. Schweiz Arch Neurol Neurochir Psychiatr. 1983;132:13–27.
Tsai YH, Hsu LM, Weng HH, Lee MH, Yang JT, Lin CP. Functional diffusion map as an imaging predictor of functional outcome in patients with primary intracerebral haemorrhage. Br J Radiol. 2013;86:20110644.
Miyai I, Suzuki T, Kang J, Volpe BT. Improved functional outcome in patients with hemorrhagic stroke in putamen and thalamus compared with those with stroke restricted to the putamen or thalamus. Stroke. 2000;31:1365–9.
Kuzu Y, Inoue T, Kanbara Y, Nishimoto H, Fujiwara S, Ogasawara K, et al. Prediction of motor function outcome after intracerebral hemorrhage using fractional anisotropy calculated from diffusion tensor imaging. Cerebrovasc Dis. 2012;33:566–73.
Cheung RT, Zou LY. Use of the original, modified, or new intracerebral hemorrhage score to predict mortality and morbidity after intracerebral hemorrhage. Stroke. 2003;34:1717–22.
Ma C, Liu A, Li Z, Zhou X, Zhou S. Longitudinal study of diffusion tensor imaging properties of affected cortical spinal tracts in acute and chronic hemorrhagic stroke. J Clin Neurosci. 2014;21:1388–92.
Lee SH, Park KJ, Kang SH, Jung YG, Park JY, Park DH. Prognostic factors of clinical outcomes in patients with spontaneous thalamic hemorrhage. Med Sci Monit. 2015;21:2638–46.
Muschelli J, Ullman NL, Sweeney EM, Eloyan A, Martin N, Vespa P, et al. Quantitative intracerebral hemorrhage localization. Stroke. 2015;46:3270–3.
Zhou Z, Daviet JC, Marin B, Macian F, Salle JY, Zhou N, et al. Vital and functional outcomes of the first-ever hemispheric stroke, epidemiological comparative study between kunming (china) and limoges (france). Ann Phys Rehabil Med. 2010;53:547–58.
Sakamoto Y, Koga M, Yamagami H, Okuda S, Okada Y, Kimura K, et al. Systolic blood pressure after intravenous antihypertensive treatment and clinical outcomes in hyperacute intracerebral hemorrhage: the stroke acute management with urgent risk-factor assessment and improvement-intracerebral hemorrhage study. Stroke. 2013;44:1846–51.
Lin CL, Kwan AL, Howng SL. Prognosis of spontaneous intracerebral hemorrhage in hemodialysis patients. Kaohsiung J Med Sci. 1999;15:484–90.
Sources of Funding
Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number TL1TR000141. The content is solely the responsibility of the authors and does not necessarily represent official views of the National Institutes of Health.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Sreekrishnan, A., Dearborn, J.L., Greer, D.M. et al. Intracerebral Hemorrhage Location and Functional Outcomes of Patients: A Systematic Literature Review and Meta-Analysis. Neurocrit Care 25, 384–391 (2016). https://doi.org/10.1007/s12028-016-0276-4
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12028-016-0276-4