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Cox CS, Notrica DM, Juranek J, Miller JH, Triolo F, Kosmach S, Savitz SI, Adelson PD, Pedroza C, Olson SD, Scott MC, Kumar A, Aertker BM, Caplan HW, Jackson ML, Gill BS, Hetz RA, Lavoie MS, Ewing-Cobbs L. Autologous bone marrow mononuclear cells to treat severe traumatic brain injury in children. Brain 2024; 147:1914-1925. [PMID: 38181433 PMCID: PMC11068104 DOI: 10.1093/brain/awae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/29/2023] [Accepted: 12/30/2023] [Indexed: 01/07/2024] Open
Abstract
Autologous bone marrow mononuclear cells (BMMNCs) infused after severe traumatic brain injury have shown promise for treating the injury. We evaluated their impact in children, particularly their hypothesized ability to preserve the blood-brain barrier and diminish neuroinflammation, leading to structural CNS preservation with improved outcomes. We performed a randomized, double-blind, placebo-sham-controlled Bayesian dose-escalation clinical trial at two children's hospitals in Houston, TX and Phoenix, AZ, USA (NCT01851083). Patients 5-17 years of age with severe traumatic brain injury (Glasgow Coma Scale score ≤ 8) were randomized to BMMNC or placebo (3:2). Bone marrow harvest, cell isolation and infusion were completed by 48 h post-injury. A Bayesian continuous reassessment method was used with cohorts of size 3 in the BMMNC group to choose the safest between two doses. Primary end points were quantitative brain volumes using MRI and microstructural integrity of the corpus callosum (diffusivity and oedema measurements) at 6 months and 12 months. Long-term functional outcomes and ventilator days, intracranial pressure monitoring days, intensive care unit days and therapeutic intensity measures were compared between groups. Forty-seven patients were randomized, with 37 completing 1-year follow-up (23 BMMNC, 14 placebo). BMMNC treatment was associated with an almost 3-day (23%) reduction in ventilator days, 1-day (16%) reduction in intracranial pressure monitoring days and 3-day (14%) reduction in intensive care unit (ICU) days. White matter volume at 1 year in the BMMNC group was significantly preserved compared to placebo [decrease of 19 891 versus 40 491, respectively; mean difference of -20 600, 95% confidence interval (CI): -35 868 to -5332; P = 0.01], and the number of corpus callosum streamlines was reduced more in placebo than BMMNC, supporting evidence of preserved corpus callosum connectivity in the treated groups (-431 streamlines placebo versus -37 streamlines BMMNC; mean difference of -394, 95% CI: -803 to 15; P = 0.055), but this did not reach statistical significance due to high variability. We conclude that autologous BMMNC infusion in children within 48 h after severe traumatic brain injury is safe and feasible. Our data show that BMMNC infusion led to: (i) shorter intensive care duration and decreased ICU intensity; (ii) white matter structural preservation; and (iii) enhanced corpus callosum connectivity and improved microstructural metrics.
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Affiliation(s)
- Charles S Cox
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - David M Notrica
- Department of Pediatric Surgery, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Jenifer Juranek
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Jeffrey H Miller
- Department of Radiology, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Fabio Triolo
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Steven Kosmach
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Sean I Savitz
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - P David Adelson
- Department of Pediatric Neurosurgery, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Claudia Pedroza
- Department of Pediatrics, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Scott D Olson
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Michael C Scott
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Akshita Kumar
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Benjamin M Aertker
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Henry W Caplan
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Margaret L Jackson
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Brijesh S Gill
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Robert A Hetz
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Michael S Lavoie
- Department of Psychology, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Linda Ewing-Cobbs
- Department of Pediatrics, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
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2
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Miyata M, Takahata K, Sano Y, Yamamoto Y, Kurose S, Kubota M, Endo H, Matsuoka K, Tagai K, Oya M, Hirata K, Saito F, Mimura M, Kamagata K, Aoki S, Higuchi M. Association between mammillary body atrophy and memory impairment in retired athletes with a history of repetitive mild traumatic brain injury. Sci Rep 2024; 14:7129. [PMID: 38531908 DOI: 10.1038/s41598-024-57383-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 03/18/2024] [Indexed: 03/28/2024] Open
Abstract
Cognitive dysfunction, especially memory impairment, is a typical clinical feature of long-term symptoms caused by repetitive mild traumatic brain injury (rmTBI). The current study aims to investigate the relationship between regional brain atrophy and cognitive impairments in retired athletes with a long history of rmTBI. Overall, 27 retired athletes with a history of rmTBI (18 boxers, 3 kickboxers, 2 wrestlers, and 4 others; rmTBI group) and 23 age/sex-matched healthy participants (control group) were enrolled. MPRAGE on 3 T MRI was acquired and segmented. The TBV and TBV-adjusted regional brain volumes were compared between groups, and the relationship between the neuropsychological test scores and the regional brain volumes were evaluated. Total brain volume (TBV) and regional brain volumes of the mammillary bodies (MBs), hippocampi, amygdalae, thalami, caudate nuclei, and corpus callosum (CC) were estimated using the SPM12 and ITK-SNAP tools. In the rmTBI group, the regional brain volume/TBV ratio (rmTBI vs. control group, Mann-Whitney U test, p < 0.05) underwent partial correlation analysis, adjusting for age and sex, to assess its connection with neuropsychological test results. Compared with the control group, the rmTBI group showed significantly lower the MBs volume/TBV ratio (0.13 ± 0.05 vs. 0.19 ± 0.03 × 10-3, p < 0.001). The MBs volume/TBV ratio correlated with visual memory, as assessed, respectively, by the Rey-Osterrieth Complex Figure test delayed recall (ρ = 0.62, p < 0.001). In conclusion, retired athletes with rmTBI have MB atrophy, potentially contributing to memory impairment linked to the Papez circuit disconnection.
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Affiliation(s)
- Mari Miyata
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Keisuke Takahata
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan.
| | - Yasunori Sano
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Yasuharu Yamamoto
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Shin Kurose
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Manabu Kubota
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hironobu Endo
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Kiwamu Matsuoka
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Kenji Tagai
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Masaki Oya
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Kosei Hirata
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Fumie Saito
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Makoto Higuchi
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba, Japan
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3
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De Benedictis A, Rossi-Espagnet MC, de Palma L, Sarubbo S, Marras CE. Structural networking of the developing brain: from maturation to neurosurgical implications. Front Neuroanat 2023; 17:1242757. [PMID: 38099209 PMCID: PMC10719860 DOI: 10.3389/fnana.2023.1242757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 11/09/2023] [Indexed: 12/17/2023] Open
Abstract
Modern neuroscience agrees that neurological processing emerges from the multimodal interaction among multiple cortical and subcortical neuronal hubs, connected at short and long distance by white matter, to form a largely integrated and dynamic network, called the brain "connectome." The final architecture of these circuits results from a complex, continuous, and highly protracted development process of several axonal pathways that constitute the anatomical substrate of neuronal interactions. Awareness of the network organization of the central nervous system is crucial not only to understand the basis of children's neurological development, but also it may be of special interest to improve the quality of neurosurgical treatments of many pediatric diseases. Although there are a flourishing number of neuroimaging studies of the connectome, a comprehensive vision linking this research to neurosurgical practice is still lacking in the current pediatric literature. The goal of this review is to contribute to bridging this gap. In the first part, we summarize the main current knowledge concerning brain network maturation and its involvement in different aspects of normal neurocognitive development as well as in the pathophysiology of specific diseases. The final section is devoted to identifying possible implications of this knowledge in the neurosurgical field, especially in epilepsy and tumor surgery, and to discuss promising perspectives for future investigations.
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Affiliation(s)
| | | | - Luca de Palma
- Clinical and Experimental Neurology, Bambino Gesù Children’s Hospital, Rome, Italy
| | - Silvio Sarubbo
- Department of Neurosurgery, Santa Chiara Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
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Porter M, Sugden-Lingard S, Brunsdon R, Benson S. Autism Spectrum Disorder in Children with an Early History of Paediatric Acquired Brain Injury. J Clin Med 2023; 12:4361. [PMID: 37445396 DOI: 10.3390/jcm12134361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/03/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition that arises from a combination of both genetic and environmental risk factors. There is a lack of research investigating whether early acquired brain injury (ABI) may be a risk factor for ASD. The current study comprehensively reviewed all hospital records at The Brain Injury Service, Kids Rehab at the Children's Hospital at Westmead (Australia) from January 2000 to January 2020. Of the approximately 528 cases, 14 children with paediatric ABI were subsequently given an ASD diagnosis (2.7%). For this ASD sample, the mean age at the time of the ABI was 1.55 years, indicating a high prevalence of early ABI in this diagnostic group. The mean age of ASD diagnosis was, on average, 5 years later than the average ASD diagnosis in the general population. Furthermore, 100% of children had at least one medical comorbidity and 73% had three or more co-occurring DSM-5 diagnoses. Although based on a small data set, results highlight early paediatric ABI as a potential risk factor for ASD and the potential for a delayed ASD diagnosis following early ABI, with comorbidities possibly masking symptoms. This study was limited by its exploratory case series design and small sample size. Nonetheless, this study highlights the need for longitudinal investigation into the efficacy of early screening for ASD symptomatology in children who have sustained an early ABI to maximise potential intervention.
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Affiliation(s)
- Melanie Porter
- School of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Sindella Sugden-Lingard
- School of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Ruth Brunsdon
- Kids Rehab, The Children's Hospital at Westmead, SCHN, Westmead, NSW 2145, Australia
| | - Suzanne Benson
- Kids Rehab, The Children's Hospital at Westmead, SCHN, Westmead, NSW 2145, Australia
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5
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Obenaus A, Rodriguez-Grande B, Lee JB, Dubois CJ, Fournier ML, Cador M, Caille S, Badaut J. A single mild juvenile TBI in male mice leads to regional brain tissue abnormalities at 12 months of age that correlate with cognitive impairment at the middle age. Acta Neuropathol Commun 2023; 11:32. [PMID: 36859364 PMCID: PMC9976423 DOI: 10.1186/s40478-023-01515-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 01/12/2023] [Indexed: 03/03/2023] Open
Abstract
Traumatic brain injury (TBI) has the highest incidence amongst the pediatric population and its mild severity represents the most frequent cases. Moderate and severe injuries as well as repetitive mild TBI result in lasting morbidity. However, whether a single mild TBI sustained during childhood can produce long-lasting modifications within the brain is still debated. We aimed to assess the consequences of a single juvenile mild TBI (jmTBI) at 12 months post-injury in a mouse model. Non-invasive diffusion tensor imaging (DTI) revealed significant microstructural alterations in the hippocampus and the in the substantia innominata/nucleus basalis (SI/NB), structures known to be involved in spatial learning and memory. DTI changes paralled neuronal loss, increased astrocytic AQP4 and microglial activation in the hippocampus. In contrast, decreased astrocytic AQP4 expression and microglia activation were observed in SI/NB. Spatial learning and memory were impaired and correlated with alterations in DTI-derived derived fractional ansiotropy (FA) and axial diffusivity (AD). This study found that a single juvenile mild TBI leads to significant region-specific DTI microstructural alterations, distant from the site of impact, that correlated with cognitive discriminative novel object testing and spatial memory impairments at 12 months after a single concussive injury. Our findings suggest that exposure to jmTBI leads to a chronic abnormality, which confirms the need for continued monitoring of symptoms and the development of long-term treatment strategies to intervene in children with concussions.
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Affiliation(s)
- Andre Obenaus
- Department of Pediatrics, University of California, Irvine, CA, USA
- Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Jeong Bin Lee
- Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Christophe J Dubois
- CNRS UMR 5536 RMSB, University of Bordeaux, 146 Rue Léo Saignat, 33076, Bordeaux Cedex, France
| | | | - Martine Cador
- CNRS, EPHE, INCIA UMR5287, University of Bordeaux, F33000, Bordeaux, France
| | - Stéphanie Caille
- CNRS, EPHE, INCIA UMR5287, University of Bordeaux, F33000, Bordeaux, France
| | - Jerome Badaut
- Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA.
- CNRS, EPHE, INCIA UMR5287, University of Bordeaux, F33000, Bordeaux, France.
- CNRS UMR 5536 RMSB, University of Bordeaux, 146 Rue Léo Saignat, 33076, Bordeaux Cedex, France.
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6
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Steiner M, Lidzba K, Bigi S. Processing Speed in Children with Traumatic Brain Injury. ZEITSCHRIFT FÜR NEUROPSYCHOLOGIE 2023. [DOI: 10.1024/1016-264x/a000370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Abstract: Traumatic brain injury (TBI) is a common cause of childhood morbidity and mortality. Information processing speed (IPS) is a central construct of neuropsychology and a mediator for a range of cognitive functions. In adults, the negative effects of TBI on IPS are well documented. This review qualitatively describes the impact of TBI on IPS in children and adolescents and examines various influencing factors. We included a total of 37 studies in the review that explored IPS using various clinical assessments. These clinical assessments often examine other neuropsychological functions besides IPS. In 29 of these studies, we found a negative effect of TBI on IPS. While injury severity has small but consistent effects on IPS, the effects of age at injury, time since injury, and gender were less evident. Because it is a central construct of neuropsychological functions, IPS should be assessed after TBI.
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Affiliation(s)
- Michelle Steiner
- Department of Pediatrics, Division of Neuropediatrics, Development, and Rehabilitation, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Karen Lidzba
- Department of Pediatrics, Division of Neuropediatrics, Development, and Rehabilitation, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Sandra Bigi
- Department of Pediatrics, Division of Neuropediatrics, Development, and Rehabilitation, Inselspital, Bern University Hospital, University of Bern, Switzerland
- Department of Neurology, Bern University Hospital, University of Bern, Switzerland
- Institute of Social and Preventive Medicine, University of Bern, Switzerland
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7
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Shin SS, Chawla S, Jang DH, Mazandi VM, Weeks MK, Kilbaugh TJ. Imaging of White Matter Injury Correlates with Plasma and Tissue Biomarkers in Pediatric Porcine Model of Traumatic Brain Injury. J Neurotrauma 2023; 40:74-85. [PMID: 35876453 PMCID: PMC9917326 DOI: 10.1089/neu.2022.0178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Traumatic brain injury (TBI) causes significant white matter injury, which has been characterized by various rodent and human clinical studies. The exact time course of imaging changes in a pediatric brain after TBI and its relation to biomarkers of injury and cellular function, however, is unknown. To study the changes in major white matter structures using a valid model of TBI that is comparable to a human pediatric brain in terms of size and anatomical features, we utilized a four-week-old pediatric porcine model of injury with controlled cortical impact (CCI). Using diffusion tensor imaging differential tractography, we show progressive anisotropy changes at major white matter tracts such as the corona radiata and inferior fronto-occipital fasciculus between day 1 and day 30 after injury. Moreover, correlational tractography shows a large part of bilateral corona radiata having positive correlation with the markers of cellular respiration. In contrast, bilateral corona radiata has a negative correlation with the plasma biomarkers of injury such as neurofilament light or glial fibrillary acidic protein. These are expected correlational findings given that higher integrity of white matter would be expected to correlate with lower injury biomarkers. We then studied the magnetic resonance spectroscopy findings and report decrease in a N-acetylaspartate/creatinine (NAA/Cr) ratio at the pericontusional cortex, subcortical white matter, corona radiata, thalamus, genu, and splenium of corpus callosum at 30 days indicating injury. There was also an increase in choline/creatinine ratio in these regions indicating rapid membrane turnover. Given the need for a pediatric TBI model that is comparable to human pediatric TBI, these data support the use of a pediatric pig model with CCI in future investigations of therapeutic agents. This model will allow future TBI researchers to rapidly translate our pre-clinical study findings into clinical trials for pediatric TBI.
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Affiliation(s)
- Samuel S. Shin
- Division of Neurocritical Care, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sanjeev Chawla
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David H. Jang
- Department of Emergency Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Vanessa M. Mazandi
- Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - M. Katie Weeks
- Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Todd J. Kilbaugh
- Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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8
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Davis CK, Bathula S, Hsu M, Morris-Blanco KC, Chokkalla AK, Jeong S, Choi J, Subramanian S, Park JS, Fabry Z, Vemuganti R. An Antioxidant and Anti-ER Stress Combo Therapy Decreases Inflammation, Secondary Brain Damage and Promotes Neurological Recovery following Traumatic Brain Injury in Mice. J Neurosci 2022; 42:6810-6821. [PMID: 35882557 PMCID: PMC9436019 DOI: 10.1523/jneurosci.0212-22.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/01/2022] [Accepted: 07/14/2022] [Indexed: 11/21/2022] Open
Abstract
The complex pathophysiology of post-traumatic brain damage might need a polypharmacological strategy with a combination of drugs that target multiple, synergistic mechanisms. We currently tested a combination of apocynin (curtails formation of reactive oxygen species), tert-butylhydroquinone (promotes disposal of reactive oxygen species), and salubrinal (prevents endoplasmic reticulum stress) following a moderate traumatic brain injury (TBI) induced by controlled cortical impact in adult mice. Adult mice of both sexes treated with the above tri-combo showed alleviated motor and cognitive deficits, attenuated secondary lesion volume, and decreased oxidative DNA damage. Concomitantly, tri-combo treatment regulated post-TBI inflammatory response by decreasing the infiltration of T cells and neutrophils and activation of microglia in both sexes. Interestingly, sexual dimorphism was seen in the case of TBI-induced microgliosis and infiltration of macrophages in the tri-combo-treated mice. Moreover, the tri-combo treatment prevented TBI-induced white matter volume loss in both sexes. The beneficial effects of tri-combo treatment were long-lasting and were also seen in aged mice. Thus, the present study supports the tri-combo treatment to curtail oxidative stress and endoplasmic reticulum stress concomitantly as a therapeutic strategy to improve TBI outcomes.SIGNIFICANCE STATEMENT Of the several mechanisms that contribute to TBI pathophysiology, oxidative stress, endoplasmic reticulum stress, and inflammation play a major role. The present study shows the therapeutic potential of a combination of apocynin, tert-butylhydroquinone, and salubrinal to prevent oxidative stress and endoplasmic reticulum stress and the interrelated inflammatory response in mice subjected to TBI. The beneficial effects of the tri-combo include alleviation of TBI-induced motor and cognitive deficits and lesion volume. The neuroprotective effects of the tri-combo are also linked to its ability to prevent TBI-induced white matter damage. Importantly, neuroprotection by the tri-combo treatment was observed to be not dependent on sex or age. Our data demonstrate that a polypharmacological strategy is efficacious after TBI.
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Affiliation(s)
| | | | - Martin Hsu
- Department of Pathology and Laboratory Medicine
- Neuroscience Training Program, University of Wisconsin, Madison, Wisconsin 53705
| | | | - Anil K Chokkalla
- Department of Neurological Surgery
- Cellular and Molecular Pathology Graduate Program
| | - Soomin Jeong
- Department of Neurological Surgery
- Neuroscience Training Program, University of Wisconsin, Madison, Wisconsin 53705
| | | | | | | | - Zsuzsanna Fabry
- Department of Pathology and Laboratory Medicine
- Cellular and Molecular Pathology Graduate Program
- Neuroscience Training Program, University of Wisconsin, Madison, Wisconsin 53705
| | - Raghu Vemuganti
- Department of Neurological Surgery
- Cellular and Molecular Pathology Graduate Program
- Neuroscience Training Program, University of Wisconsin, Madison, Wisconsin 53705
- William S. Middleton Veterans Administration Hospital, Madison, Wisconsin 53705
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9
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Bourke NJ, Demarchi C, De Simoni S, Samra R, Patel MC, Kuczynski A, Mok Q, Wimalasundera N, Vargha-Khadem F, Sharp DJ. Brain volume abnormalities and clinical outcomes following paediatric traumatic brain injury. Brain 2022; 145:2920-2934. [PMID: 35798350 PMCID: PMC9420021 DOI: 10.1093/brain/awac130] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 03/09/2022] [Accepted: 03/12/2022] [Indexed: 11/25/2022] Open
Abstract
Long-term outcomes are difficult to predict after paediatric traumatic brain injury. The presence or absence of focal brain injuries often do not explain cognitive, emotional and behavioural disabilities that are common and disabling. In adults, traumatic brain injury produces progressive brain atrophy that can be accurately measured and is associated with cognitive decline. However, the effect of paediatric traumatic brain injury on brain volumes is more challenging to measure because of its interaction with normal brain development. Here we report a robust approach to the individualized estimation of brain volume following paediatric traumatic brain injury and investigate its relationship to clinical outcomes. We first used a large healthy control dataset (n > 1200, age 8-22) to describe the healthy development of white and grey matter regions through adolescence. Individual estimates of grey and white matter regional volume were then generated for a group of moderate/severe traumatic brain injury patients injured in childhood (n = 39, mean age 13.53 ± 1.76, median time since injury = 14 months, range 4-168 months) by comparing brain volumes in patients to age-matched controls. Patients were individually classified as having low or normal brain volume. Neuropsychological and neuropsychiatric outcomes were assessed using standardized testing and parent/carer assessments. Relative to head size, grey matter regions decreased in volume during normal adolescence development whereas white matter tracts increased in volume. Traumatic brain injury disrupted healthy brain development, producing reductions in both grey and white matter brain volumes after correcting for age. Of the 39 patients investigated, 11 (28%) had at least one white matter tract with reduced volume and seven (18%) at least one area of grey matter with reduced volume. Those classified as having low brain volume had slower processing speed compared to healthy controls, emotional impairments, higher levels of apathy, increased anger and learning difficulties. In contrast, the presence of focal brain injury and microbleeds were not associated with an increased risk of these clinical impairments. In summary, we show how brain volume abnormalities after paediatric traumatic brain injury can be robustly calculated from individual T1 MRI using a large normative dataset that allows the effects of healthy brain development to be controlled for. Using this approach, we show that volumetric abnormalities are common after moderate/severe traumatic brain injury in both grey and white matter regions, and are associated with higher levels of cognitive, emotional and behavioural abnormalities that are common after paediatric traumatic brain injury.
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Affiliation(s)
- Niall J Bourke
- Department of Brain Sciences, Imperial College London, London, UK.,UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London, London, UK
| | - Célia Demarchi
- Department of Brain Sciences, Imperial College London, London, UK.,UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London, London, UK.,Clinical Neuropsychology, Department of Psychological Services, Great Ormond Street Hospital, London, UK
| | - Sara De Simoni
- King's College London, Department of Psychology, Institute of Psychiatry Psychology and Neuroscience, De Crespigny Park, London SE5 8AF, UK
| | - Ravjeet Samra
- Department of Brain Sciences, Imperial College London, London, UK
| | - Maneesh C Patel
- Imaging Department, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London W6 8RF, UK
| | - Adam Kuczynski
- Clinical Neuropsychology, Department of Psychological Services, Great Ormond Street Hospital, London, UK
| | - Quen Mok
- Department of Paediatric Critical Care, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Neil Wimalasundera
- Paediatric Rehabilitation, Royal Children's Hospital, Melbourne, Australia
| | - Fareneh Vargha-Khadem
- Cognitive Neuroscience and Neuropsychiatry, UCL Great Ormond Street Institute of Child Health, London, UK
| | - David J Sharp
- Department of Brain Sciences, Imperial College London, London, UK.,UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London, London, UK
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10
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Safri AA, Nassir CMNCM, Iman IN, Mohd Taib NH, Achuthan A, Mustapha M. Diffusion tensor imaging pipeline measures of cerebral white matter integrity: An overview of recent advances and prospects. World J Clin Cases 2022; 10:8450-8462. [PMID: 36157806 PMCID: PMC9453345 DOI: 10.12998/wjcc.v10.i24.8450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/20/2022] [Accepted: 07/17/2022] [Indexed: 02/05/2023] Open
Abstract
Cerebral small vessel disease (CSVD) is a leading cause of age-related microvascular cognitive decline, resulting in significant morbidity and decreased quality of life. Despite a progress on its key pathophysiological bases and general acceptance of key terms from neuroimaging findings as observed on the magnetic resonance imaging (MRI), key questions on CSVD remain elusive. Enhanced relationships and reliable lesion studies, such as white matter tractography using diffusion-based MRI (dMRI) are necessary in order to improve the assessment of white matter architecture and connectivity in CSVD. Diffusion tensor imaging (DTI) and tractography is an application of dMRI that provides data that can be used to non-invasively appraise the brain white matter connections via fiber tracking and enable visualization of individual patient-specific white matter fiber tracts to reflect the extent of CSVD-associated white matter damage. However, due to a lack of standardization on various sets of software or image pipeline processing utilized in this technique that driven mostly from research setting, interpreting the findings remain contentious, especially to inform an improved diagnosis and/or prognosis of CSVD for routine clinical use. In this minireview, we highlight the advances in DTI pipeline processing and the prospect of this DTI metrics as potential imaging biomarker for CSVD, even for subclinical CSVD in at-risk individuals.
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Affiliation(s)
- Amanina Ahmad Safri
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Che Mohd Nasril Che Mohd Nassir
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Ismail Nurul Iman
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Nur Hartini Mohd Taib
- Department of Radiology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Anusha Achuthan
- School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
| | - Muzaimi Mustapha
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
- Department of Neurosciences, Hospital Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
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11
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Goo J, Sakhanenko L, Zhu DC. A chi-square type test for time-invariant fiber pathways of the brain. STATISTICAL INFERENCE FOR STOCHASTIC PROCESSES 2022. [DOI: 10.1007/s11203-022-09268-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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12
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Dennis EL, Caeyenberghs K, Asarnow RF, Babikian T, Bartnik-Olson B, Bigler ED, Figaji A, Giza CC, Goodrich-Hunsaker NJ, Hodges CB, Hoskinson KR, Königs M, Levin HS, Lindsey HM, Livny A, Max JE, Merkley TL, Newsome MR, Olsen A, Ryan NP, Spruiell MS, Suskauer SJ, Thomopoulos SI, Ware AL, Watson CG, Wheeler AL, Yeates KO, Zielinski BA, Thompson PM, Tate DF, Wilde EA. Challenges and opportunities for neuroimaging in young patients with traumatic brain injury: a coordinated effort towards advancing discovery from the ENIGMA pediatric moderate/severe TBI group. Brain Imaging Behav 2021; 15:555-575. [PMID: 32734437 PMCID: PMC7855317 DOI: 10.1007/s11682-020-00363-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Traumatic brain injury (TBI) is a major cause of death and disability in children in both developed and developing nations. Children and adolescents suffer from TBI at a higher rate than the general population, and specific developmental issues require a unique context since findings from adult research do not necessarily directly translate to children. Findings in pediatric cohorts tend to lag behind those in adult samples. This may be due, in part, both to the smaller number of investigators engaged in research with this population and may also be related to changes in safety laws and clinical practice that have altered length of hospital stays, treatment, and access to this population. The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Pediatric Moderate/Severe TBI (msTBI) group aims to advance research in this area through global collaborative meta-analysis of neuroimaging data. In this paper, we discuss important challenges in pediatric TBI research and opportunities that we believe the ENIGMA Pediatric msTBI group can provide to address them. With the paucity of research studies examining neuroimaging biomarkers in pediatric patients with TBI and the challenges of recruiting large numbers of participants, collaborating to improve statistical power and to address technical challenges like lesions will significantly advance the field. We conclude with recommendations for future research in this field of study.
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Affiliation(s)
- Emily L Dennis
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA.
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, Los Angeles, CA, USA.
- Psychiatry Neuroimaging Laboratory, Brigham & Women's Hospital, Boston, MA, USA.
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
- Brain Research Institute, UCLA, Los Angeles, CA, USA
- Department of Psychology, UCLA, Los Angeles, CA, USA
| | - Talin Babikian
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
- UCLA Steve Tisch BrainSPORT Program, Los Angeles, CA, USA
| | - Brenda Bartnik-Olson
- Department of Radiology, Loma Linda University Medical Center, Loma Linda, CA, USA
| | - Erin D Bigler
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
- Neuroscience Center, Brigham Young University, Provo, UT, USA
| | - Anthony Figaji
- Division of Neurosurgery, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Christopher C Giza
- UCLA Steve Tisch BrainSPORT Program, Los Angeles, CA, USA
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Naomi J Goodrich-Hunsaker
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
| | - Cooper B Hodges
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
| | - Kristen R Hoskinson
- Center for Biobehavioral Health, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Marsh Königs
- Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Emma Neuroscience Group, Amsterdam, The Netherlands
| | - Harvey S Levin
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Hannah M Lindsey
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
| | - Abigail Livny
- Department of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Tel-Hashomer, Israel
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Tel-Hashomer, Israel
| | - Jeffrey E Max
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, USA
- Department of Psychiatry, Rady Children's Hospital, San Diego, CA, USA
| | - Tricia L Merkley
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
- Neuroscience Center, Brigham Young University, Provo, UT, USA
| | - Mary R Newsome
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Alexander Olsen
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Nicholas P Ryan
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia
- Department of Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | - Matthew S Spruiell
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Stacy J Suskauer
- Kennedy Krieger Institute, Baltimore, MD, USA
- Departments of Physical Medicine & Rehabilitation and Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, Los Angeles, CA, USA
| | - Ashley L Ware
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Christopher G Watson
- Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Anne L Wheeler
- Hospital for Sick Children, Neuroscience and Mental Health Program, Toronto, Canada
- Physiology Department, University of Toronto, Toronto, Canada
| | - Keith Owen Yeates
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Departments of Pediatrics and Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Brandon A Zielinski
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, Los Angeles, CA, USA
- Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, CA, USA
| | - David F Tate
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
- Missouri Institute of Mental Health and University of Missouri, St Louis, MO, USA
| | - Elisabeth A Wilde
- TBI and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
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13
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Miller LE, Urban JE, Davenport EM, Powers AK, Whitlow CT, Maldjian JA, Stitzel JD. Brain Strain: Computational Model-Based Metrics for Head Impact Exposure and Injury Correlation. Ann Biomed Eng 2021; 49:1083-1096. [PMID: 33258089 PMCID: PMC10032321 DOI: 10.1007/s10439-020-02685-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/20/2020] [Indexed: 12/20/2022]
Abstract
Athletes participating in contact sports are exposed to repetitive subconcussive head impacts that may have long-term neurological consequences. To better understand these impacts and their effects, head impacts are often measured during football to characterize head impact exposure and estimate injury risk. Despite widespread use of kinematic-based metrics, it remains unclear whether any single metric derived from head kinematics is well-correlated with measurable changes in the brain. This shortcoming has motivated the increasing use of finite element (FE)-based metrics, which quantify local brain deformations. Additionally, quantifying cumulative exposure is of increased interest to examine the relationship to brain changes over time. The current study uses the atlas-based brain model (ABM) to predict the strain response to impacts sustained by 116 youth football athletes and proposes 36 new, or derivative, cumulative strain-based metrics that quantify the combined burden of head impacts over the course of a season. The strain-based metrics developed and evaluated for FE modeling and presented in the current study present potential for improved analytics over existing kinematically-based and cumulative metrics. Additionally, the findings highlight the importance of accounting for directional dependence and expand the techniques to explore spatial distribution of the strain response throughout the brain.
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Affiliation(s)
- Logan E Miller
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA.
| | - Jillian E Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
| | - Elizabeth M Davenport
- Department of Radiology, Southwestern Medical School, University of Texas, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA
| | - Alexander K Powers
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Department of Neurosurgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Christopher T Whitlow
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Joseph A Maldjian
- Department of Radiology, Southwestern Medical School, University of Texas, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA
| | - Joel D Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
- School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, 575 N. Patterson Avenue, Suite 530, Winston-Salem, NC, 27101, USA
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14
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Baumgartner JE, Baumgartner LS, Baumgartner ME, Moore EJ, Messina SA, Seidman MD, Shook DR. Progenitor cell therapy for acquired pediatric nervous system injury: Traumatic brain injury and acquired sensorineural hearing loss. Stem Cells Transl Med 2021; 10:164-180. [PMID: 33034162 PMCID: PMC7848325 DOI: 10.1002/sctm.20-0026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 08/18/2020] [Accepted: 08/24/2020] [Indexed: 12/16/2022] Open
Abstract
While cell therapies hold remarkable promise for replacing injured cells and repairing damaged tissues, cell replacement is not the only means by which these therapies can achieve therapeutic effect. For example, recent publications show that treatment with varieties of adult, multipotent stem cells can improve outcomes in patients with neurological conditions such as traumatic brain injury and hearing loss without directly replacing damaged or lost cells. As the immune system plays a central role in injury response and tissue repair, we here suggest that multipotent stem cell therapies achieve therapeutic effect by altering the immune response to injury, thereby limiting damage due to inflammation and possibly promoting repair. These findings argue for a broader understanding of the mechanisms by which cell therapies can benefit patients.
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Affiliation(s)
- James E. Baumgartner
- Advent Health for ChildrenOrlandoFloridaUSA
- Department of Neurological SurgeryUniversity of Central Florida College of MedicineOrlandoFloridaUSA
| | | | | | - Ernest J. Moore
- Department of Audiology and Speech Language PathologyUniversity of North TexasDentonTexasUSA
| | | | - Michael D. Seidman
- Advent Health CelebrationCelebrationFloridaUSA
- Department of OtorhinolaryngologyUniversity of Central FloridaOrlandoFloridaUSA
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15
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Connectome mapping with edge density imaging differentiates pediatric mild traumatic brain injury from typically developing controls: proof of concept. Pediatr Radiol 2020; 50:1594-1601. [PMID: 32607611 PMCID: PMC7501221 DOI: 10.1007/s00247-020-04743-9] [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: 12/19/2019] [Revised: 04/26/2020] [Accepted: 05/24/2020] [Indexed: 01/06/2023]
Abstract
BACKGROUND Although acute neurologic impairment might be transient, other long-term effects can be observed with mild traumatic brain injury. However, when pediatric patients with mild traumatic brain injury present for medical care, conventional imaging with CT and MR imaging often does not reveal abnormalities. OBJECTIVE To determine whether edge density imaging can separate pediatric mild traumatic brain injury from typically developing controls. MATERIALS AND METHODS Subjects were recruited as part of the "Therapeutic Resources for Attention Improvement using Neuroimaging in Traumatic Brain Injury" (TRAIN-TBI) study. We included 24 adolescents (χ=14.1 years of age, σ=1.6 years, range 10-16 years), 14 with mild traumatic brain injury (TBI) and 10 typically developing controls. Neurocognitive assessments included the pediatric version of the California Verbal Learning Test (CVLT) and the Attention Network Task (ANT). Diffusion MR imaging was acquired on a 3-tesla (T) scanner. Edge density images were computed utilizing fiber tractography. Principal component analysis (PCA) and support vector machines (SVM) were used in an exploratory analysis to separate mild TBI and control groups. The diagnostic accuracy of edge density imaging, neurocognitive tests, and fractional anisotropy (FA) from diffusion tensor imaging (DTI) was computed with two-sample t-tests and receiver operating characteristic (ROC) metrics. RESULTS Support vector machine-principal component analysis of edge density imaging maps identified three white matter regions distinguishing pediatric mild TBI from controls. The bilateral tapetum, sagittal stratum, and callosal splenium identified mild TBI subjects with sensitivity of 79% and specificity of 100%. Accuracy from the area under the ROC curve (AUC) was 94%. Neurocognitive testing provided an AUC of 61% (CVLT) and 71% (ANT). Fractional anisotropy yielded an AUC of 48%. CONCLUSION In this proof-of-concept study, we show that edge density imaging is a new form of connectome mapping that provides better diagnostic delineation between pediatric mild TBI and healthy controls than DTI or neurocognitive assessments of memory or attention.
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16
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Bartnik-Olson B, Holshouser B, Ghosh N, Oyoyo UE, Nichols JG, Pivonka-Jones J, Tong K, Ashwal S. Evolving White Matter Injury following Pediatric Traumatic Brain Injury. J Neurotrauma 2020; 38:111-121. [PMID: 32515269 DOI: 10.1089/neu.2019.6574] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
This study is unique in that it examines the evolution of white matter injury very early and at 12 months post-injury in pediatric patients following traumatic brain injury (TBI). Diffusion tensor imaging (DTI) was acquired at two time-points: acutely at 6-17 days and 12 months following a complicated mild (cMild)/moderate (mod) or severe TBI. Regional measures of anisotropy and diffusivity were compared between TBI groups and against a group of age-matched healthy controls and used to predict performance on measures of attention, memory, and intellectual functioning at 12-months post-injury. Analysis of the acute DTI data using tract based spatial statistics revealed a small number of regional decreases in fractional anisotropy (FA) in both the cMild/mod and severe TBI groups compared with controls. These changes were observed in the occipital white matter, anterior limb of the internal capsule (ALIC)/basal ganglia, and corpus callosum. The severe TBI group showed regional differences in axial diffusivity (AD) in the brainstem and corpus callosum that were not seen in the cMild/mod TBI group. By 12-months, widespread decreases in FA and increases in apparent diffusion coefficient (ADC) and radial diffusivity (RD) were observed in both TBI groups compared with controls, with the overall number of regions with abnormal DTI metrics increasing over time. The early changes in regional DTI metrics were associated with 12-month performance IQ scores. These findings suggest that there may be regional differences in the brain's reparative processes or that mechanisms associated with the brain's plasticity to recover may also be region based.
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Affiliation(s)
- Brenda Bartnik-Olson
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Barbara Holshouser
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Nirmalya Ghosh
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
| | - Udochukwu E Oyoyo
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Joy G Nichols
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
| | - Jamie Pivonka-Jones
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
| | - Karen Tong
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Stephen Ashwal
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
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17
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Venkatasubramanian PN, Keni P, Gastfield R, Li L, Aksenov D, Sherman SA, Bailes J, Sindelar B, Finan JD, Lee J, Bailes JE, Wyrwicz AM. Diffusion Tensor Imaging Detects Acute and Subacute Changes in Corpus Callosum in Blast-Induced Traumatic Brain Injury. ASN Neuro 2020; 12:1759091420922929. [PMID: 32403948 PMCID: PMC7238783 DOI: 10.1177/1759091420922929] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
There is a critical need for understanding the progression of neuropathology in blast-induced traumatic brain injury using valid animal models to develop diagnostic approaches. In the present study, we used diffusion imaging and magnetic resonance (MR) morphometry to characterize axonal injury in white matter structures of the rat brain following a blast applied via blast tube to one side of the brain. Diffusion tensor imaging was performed on acute and subacute phases of pathology from which fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were calculated for corpus callosum (CC), cingulum bundle, and fimbria. Ventricular volume and CC thickness were measured. Blast-injured rats showed temporally varying bilateral changes in diffusion metrics indicating persistent axonal pathology. Diffusion changes in the CC suggested vasogenic edema secondary to axonal injury in the acute phase. Axonal pathology persisted in the subacute phase marked by cytotoxic edema and demyelination which was confirmed by ultrastructural analysis. The evolution of pathology followed a different pattern in the cingulum bundle: axonal injury and demyelination in the acute phase followed by cytotoxic edema in the subacute phase. Spatially, structures close to midline were most affected. Changes in the genu were greater than in the body and splenium; the caudal cingulum bundle was more affected than the rostral cingulum. Thinning of CC and ventriculomegaly were greater only in the acute phase. Our results reveal the persistent nature of blast-induced axonal pathology and suggest that diffusion imaging may have potential for detecting the temporal evolution of blast injury.
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Affiliation(s)
- Palamadai N Venkatasubramanian
- Center for Basic M.R. Research, Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Prachi Keni
- Department of Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Roland Gastfield
- Center for Basic M.R. Research, Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Limin Li
- Center for Basic M.R. Research, Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Daniil Aksenov
- Center for Basic M.R. Research, Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Sydney A Sherman
- Department of Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Julian Bailes
- Department of Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Brian Sindelar
- Department of Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - John D Finan
- Department of Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - John Lee
- Department of Pathology, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Julian E Bailes
- Department of Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Alice M Wyrwicz
- Center for Basic M.R. Research, Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, United States
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18
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King DJ, Seri S, Beare R, Catroppa C, Anderson VA, Wood AG. Developmental divergence of structural brain networks as an indicator of future cognitive impairments in childhood brain injury: Executive functions. Dev Cogn Neurosci 2020; 42:100762. [PMID: 32072940 PMCID: PMC6996014 DOI: 10.1016/j.dcn.2020.100762] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 11/01/2019] [Accepted: 01/19/2020] [Indexed: 11/29/2022] Open
Abstract
Brain insults during childhood can perturb the already non-linear trajectory of typical brain maturation. The diffuse effects of injury can be modelled using structural covariance networks (SCN), which change as a function of neurodevelopment. However, SCNs are estimated at the group-level, limiting applicability to predicting individual-subject outcomes. This study aimed to measure the divergence of the brain networks in paediatric traumatic brain injury (pTBI) patients and controls, and investigate relationships with executive functioning (EF) at 24 months post-injury. T1-weighted MRI acquired acutely in 78 child survivors of pTBI and 33 controls underwent 3D-tissue segmentation to estimate cortical thickness (CT) across 68 atlas-based regions-of-interest (ROIs). Using an 'add-one-patient' approach, we estimate a developmental divergence index (DDI). Our approach adopts a novel analytic framework in which age-appropriate reference networks to calculate the DDI were generated from control participants from the ABIDE dataset using a sliding-window approach. Divergence from the age-appropriate SCN was related to reduced EF performance and an increase in behaviours related to executive dysfunctions. The DDI measure showed predictive value with regard to executive functions, highlighting that early imaging can assist in prognosis for cognition.
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Affiliation(s)
- Daniel J King
- School of Life and Health Sciences & Aston Neuroscience Institute, Aston University, Birmingham, B4 7ET, UK; Department of Clinical Neurophysiology, Birmingham Women's and Children's Hospital NHS Foundation Trust, UK
| | - Stefano Seri
- School of Life and Health Sciences & Aston Neuroscience Institute, Aston University, Birmingham, B4 7ET, UK; Department of Clinical Neurophysiology, Birmingham Women's and Children's Hospital NHS Foundation Trust, UK
| | - Richard Beare
- Brain and Mind Research, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Monash University, Melbourne, Australia
| | - Cathy Catroppa
- Brain and Mind Research, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Department of Psychology, Royal Children's Hospital, Melbourne, Australia
| | - Vicki A Anderson
- Brain and Mind Research, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Department of Psychology, Royal Children's Hospital, Melbourne, Australia
| | - Amanda G Wood
- School of Life and Health Sciences & Aston Neuroscience Institute, Aston University, Birmingham, B4 7ET, UK; Brain and Mind Research, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; School of Psychology, Faculty of Health, Melbourne Burwood Campus, Deakin University, Geelong, Victoria, Australia.
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19
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Lindsey HM, Wilde EA, Caeyenberghs K, Dennis EL. Longitudinal Neuroimaging in Pediatric Traumatic Brain Injury: Current State and Consideration of Factors That Influence Recovery. Front Neurol 2019; 10:1296. [PMID: 31920920 PMCID: PMC6927298 DOI: 10.3389/fneur.2019.01296] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 11/25/2019] [Indexed: 12/13/2022] Open
Abstract
Traumatic brain injury (TBI) is a leading cause of death and disability for children and adolescents in the U.S. and other developed and developing countries. Injury to the immature brain varies greatly from that of the mature, adult brain due to numerous developmental, pre-injury, and injury-related factors that work together to influence the trajectory of recovery during the course of typical brain development. Substantial damage to brain structure often underlies subsequent functional limitations that persist for years following pediatric TBI. Advances in neuroimaging have established an important role in the acute management of pediatric TBI, and magnetic resonance imaging (MRI) techniques have a particular relevance for the sequential assessment of long-term consequences from injuries sustained to the developing brain. The present paper will discuss the various factors that influence recovery and review the findings from the present neuroimaging literature to assess altered development and long-term outcome following pediatric TBI. Four MR-based neuroimaging modalities have been used to examine recovery from pediatric TBI longitudinally: (1) T1-weighted structural MRI is sensitive to morphological changes in gray matter volume and cortical thickness, (2) diffusion-weighted MRI is sensitive to changes in the microstructural integrity of white matter, (3) MR spectroscopy provides a sensitive assessment of metabolic and neurochemical alterations in the brain, and (4) functional MRI provides insight into the functional changes that occur as a result of structural damage and typical developmental processes. As reviewed in this paper, 13 cohorts have contributed to only 20 studies published to date using neuroimaging to examine longitudinal changes after TBI in pediatric patients. The results of these studies demonstrate considerable heterogeneity in post-injury outcome; however, the existing literature consistently shows that alterations in brain structure, function, and metabolism can persist for an extended period of time post-injury. With larger sample sizes and multi-site cooperation, future studies will be able to further examine potential moderators of outcome, such as the developmental, pre-injury, and injury-related factors discussed in the present review.
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Affiliation(s)
- Hannah M. Lindsey
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
- Department of Psychology, Brigham Young University, Provo, UT, United States
| | - Elisabeth A. Wilde
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, United States
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, Australia
| | - Emily L. Dennis
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
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20
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Karydakis P, Giakoumettis D, Themistocleous M. The 100 most cited papers about pediatric traumatic brain injury: a bibliometric analysis. Ir J Med Sci 2019; 189:315-325. [PMID: 31418153 DOI: 10.1007/s11845-019-02085-6] [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] [Received: 07/23/2019] [Accepted: 08/08/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND The high incidence of traumatic brain injury (TBI) in children, combined with the challenges in diagnosis and treatment options, the difficulty of predicting the outcome of each case, and also the wide variety of possibly lifelong complications, has led to an extraordinary number of published papers regarding this topic. This bibliometric analysis is aimed at identifying and reviewing the 100 most cited papers in the most challenging and trending aspects of pediatric traumatic brain injury. METHODS A search was performed using the Web of Science database in October 2018. Results were organized by citation number, and the 100 most cited papers were further reviewed and analyzed. RESULTS Our search resulted in 2754 published papers from 1975 until October 2018, of which 1783 (64.74%) had been published in the last decade (2010-2018). The 100 most cited papers about traumatic brain injury in children have an average citation of 140.59 and have been published in 44 different journals. Four hundred thirty-five authors have contributed to these prominent articles, most of them from the USA. CONCLUSIONS By reviewing those highly cited papers, we sought to offer significant help not only for studying this challenging field but also for designing new studies.
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Affiliation(s)
- Ploutarchos Karydakis
- Department of Neurosurgery, 251 Hellenic Air Force General Hospital, Athanasiou Diakou 9 str., Cholargos, 15562, Athens, Greece.
| | - Dimitrios Giakoumettis
- Department of Neurosurgery, 'Evangelismos Hospital', University of Athens, Athens, Greece
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21
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Kinder HA, Baker EW, Wang S, Fleischer CC, Howerth EW, Duberstein KJ, Mao H, Platt SR, West FD. Traumatic Brain Injury Results in Dynamic Brain Structure Changes Leading to Acute and Chronic Motor Function Deficits in a Pediatric Piglet Model. J Neurotrauma 2019; 36:2930-2942. [PMID: 31084386 DOI: 10.1089/neu.2018.6303] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Traumatic brain injury (TBI) is a leading cause of death and disability in children. Pediatric TBI patients often suffer from crippling cognitive, emotional, and motor function deficits that have negative lifelong effects. The objective of this study was to longitudinally assess TBI pathophysiology using multi-parametric magnetic resonance imaging (MRI), gait analysis, and histological approaches in a pediatric piglet model. TBI was produced by controlled cortical impact in Landrace piglets. MRI data, including from proton magnetic resonance spectroscopy (MRS), were collected 24 hours and 12 weeks post-TBI, and gait analysis was performed at multiple time-points over 12 weeks post-TBI. A subset of animals was sacrificed 24 hours, 1 week, 4 weeks, and 12 weeks post-TBI for histological analysis. MRI results demonstrated that TBI led to a significant brain lesion and midline shift as well as microscopic tissue damage with altered brain diffusivity, decreased white matter integrity, and reduced cerebral blood flow. MRS showed a range of neurochemical changes after TBI. Histological analysis revealed neuronal loss, astrogliosis/astrocytosis, and microglia activation. Further, gait analysis showed transient impairments in cadence, cycle time, % stance, step length, and stride length, as well as long-term impairments in weight distribution after TBI. Taken together, this study illustrates the distinct time course of TBI pathoanatomic and functional responses up to 12 weeks post-TBI in a piglet TBI model. The study of TBI injury and recovery mechanisms, as well as the testing of therapeutics in this translational model, are likely to be more predictive of human responses and clinical outcomes compared to traditional small animal models.
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Affiliation(s)
- Holly A Kinder
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia.,Department of Animal and Dairy Science, University of Georgia, Athens, Georgia
| | - Emily W Baker
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia.,Department of Animal and Dairy Science, University of Georgia, Athens, Georgia
| | - Silun Wang
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia
| | - Candace C Fleischer
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia
| | - Elizabeth W Howerth
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia.,Department of Pathology, University of Georgia, Athens, Georgia
| | - Kylee J Duberstein
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia.,Department of Animal and Dairy Science, University of Georgia, Athens, Georgia
| | - Hui Mao
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia
| | - Simon R Platt
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia.,Department of Small Animal Medicine and Surgery, University of Georgia, Athens, Georgia
| | - Franklin D West
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia.,Department of Animal and Dairy Science, University of Georgia, Athens, Georgia
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22
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Cox CS, Juranek J, Bedi S. Clinical trials in traumatic brain injury: cellular therapy and outcome measures. Transfusion 2019; 59:858-868. [PMID: 30737818 DOI: 10.1111/trf.14834] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 02/01/2018] [Indexed: 12/23/2022]
Abstract
Clinical trials for traumatic brain injury (TBI) have not successfully produced a new therapeutic for neuroprotection or neurorestoration, despite multiple attempts. Stem cell-based therapies and/or cellular therapies have been developed over the past 20 years such that clinical trials are now in Phase II and III stages for neurologic diseases such as TBI and stroke. Many of the vexing issues from past clinical failures still exist today, namely, preclinical data that may not translate to clinical trial because of design and injury heterogeneity that poorly stratifies enrolled patients. Recognition of these problems has led us to advocate for outcome measures that are clinically meaningful, but do not represent a global functional "score." Specifically, we seek to measure those early physiologically relevant outcomes (intracranial pressure, edema, and therapeutic intensity) and later structural outcomes in regions of interest that are linked to putative mechanisms of action of cell based therapies. Early approval of therapeutics that are successful by these metrics would then allow further access to treatments that could be further tested via patient registries and other surveillance for ultimate adoption. Continuing to do the same thing with each iterative trial will assure the same results.
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Affiliation(s)
- Charles S Cox
- Department of Pediatric Surgery, McGovern Medical School at University of Texas Health Sciences Center, Houston, Texas
| | - Jennifer Juranek
- Department of Pediatrics, McGovern Medical School at University of Texas Health Sciences Center, Houston, Texas
| | - Supinder Bedi
- Department of Pediatric Surgery, McGovern Medical School at University of Texas Health Sciences Center, Houston, Texas
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23
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Molteni E, Pagani E, Strazzer S, Arrigoni F, Beretta E, Boffa G, Galbiati S, Filippi M, Rocca MA. Fronto-temporal vulnerability to disconnection in paediatric moderate and severe traumatic brain injury. Eur J Neurol 2019; 26:1183-1190. [PMID: 30964589 DOI: 10.1111/ene.13963] [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] [Received: 12/10/2018] [Accepted: 04/03/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND In patients with moderate and severe paediatric traumatic brain injury (TBI), we investigated the presence and severity of white matter (WM) tract damage, cortical lobar and deep grey matter (GM) atrophies, their interplay and their correlation with outcome rating scales. METHODS Diffusion tensor (DT) and 3D T1-weighted MRI scans were obtained from 22 TBI children (13 boys; mean age at insult = 11.6 years; 72.7% in chronic condition) and 31 age-matched healthy children. Patients were tested with outcome rating scales and the Wechsler Intelligence Scale for Children (WISC). DT MRI indices were obtained from several supra- and infra-tentorial WM tracts. Cortical lobar and deep GM volumes were derived. Comparisons between patients and controls, and between patients in acute (<6 months from the event) vs. chronic (≥6 months) condition were performed. RESULTS Patients showed a widespread pattern of decreased WM FA and GM atrophy. Compared to acute, chronic patients showed severer atrophy in the right frontal lobe and reduced FA in the left inferior longitudinal fasciculus and corpus callosum (CC). Decreased axial diffusivity was observed in acute patients versus controls in the inferior fronto-occipital fasciculus and CC. Chronic patients showed increased axial diffusivity in the same structures. Uncinate fasciculus DT MRI abnormalities correlated with atrophy in the frontal and temporal lobes. Hippocampal atrophy correlated with reduced WISC scores, whereas putamen atrophy correlated with lower functional independence measure scores. CONCLUSIONS The study isolated a distributed fronto-temporal network of structures particularly vulnerable to axonal damage and atrophy that may contribute to cognitive deficits following TBI.
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Affiliation(s)
- E Molteni
- Acquired Brain Injury Unit, Scientific Institute IRCCS Eugenio Medea, Lecco, Italy
| | - E Pagani
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - S Strazzer
- Acquired Brain Injury Unit, Scientific Institute IRCCS Eugenio Medea, Lecco, Italy
| | - F Arrigoni
- Acquired Brain Injury Unit, Scientific Institute IRCCS Eugenio Medea, Lecco, Italy
| | - E Beretta
- Acquired Brain Injury Unit, Scientific Institute IRCCS Eugenio Medea, Lecco, Italy
| | - G Boffa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - S Galbiati
- Acquired Brain Injury Unit, Scientific Institute IRCCS Eugenio Medea, Lecco, Italy
| | - M Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - M A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
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24
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King DJ, Ellis KR, Seri S, Wood AG. A systematic review of cross-sectional differences and longitudinal changes to the morphometry of the brain following paediatric traumatic brain injury. NEUROIMAGE-CLINICAL 2019; 23:101844. [PMID: 31075554 PMCID: PMC6510969 DOI: 10.1016/j.nicl.2019.101844] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 04/26/2019] [Accepted: 04/29/2019] [Indexed: 01/27/2023]
Abstract
Paediatric traumatic brain injury (pTBI) is a leading cause of disability for children and young adults. Children are a uniquely vulnerable group with the disease process that occurs following a pTBI interacting with the trajectory of normal brain development. Quantitative MRI post-injury has suggested a long-term, neurodegenerative effect of TBI on the morphometry of the brain, in both adult and childhood TBI. Changes to the brain beyond that of anticipated, age-dependant differences may allow us to estimate the state of the brain post-injury and produce clinically relevant predictions for long-term outcome. The current review synthesises the existing literature to assess whether, following pTBI, the morphology of the brain exhibits either i) longitudinal change and/or ii) differences compared to healthy controls and outcomes. The current literature suggests that morphometric differences from controls are apparent cross-sectionally at both acute and late-chronic timepoints post-injury, thus suggesting a non-transient effect of injury. Developmental trajectories of morphometry are altered in TBI groups compared to patients, and it is unlikely that typical maturation overcomes damage post-injury, or even 'catches up' with that of typically-developing peers. However, there is limited evidence for diverted developmental trajectories being associated with cognitive impairment post-injury. The current review also highlights the apparent challenges to the existing literature and potential methods by which these can be addressed.
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Affiliation(s)
- D J King
- School of Life and Health Sciences & Aston Brain Centre, Aston University, Birmingham, UK
| | - K R Ellis
- School of Life and Health Sciences & Aston Brain Centre, Aston University, Birmingham, UK
| | - S Seri
- School of Life and Health Sciences & Aston Brain Centre, Aston University, Birmingham, UK
| | - A G Wood
- School of Life and Health Sciences & Aston Brain Centre, Aston University, Birmingham, UK; Child Neuropsychology, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.
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25
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Li L, Chopp M, Ding G, Davoodi-Bojd E, Li Q, Mahmood A, Xiong Y, Jiang Q. Diffuse white matter response in trauma-injured brain to bone marrow stromal cell treatment detected by diffusional kurtosis imaging. Brain Res 2019; 1717:127-135. [PMID: 31009610 DOI: 10.1016/j.brainres.2019.04.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/25/2019] [Accepted: 04/18/2019] [Indexed: 12/14/2022]
Abstract
Diffuse white matter (WM) response to traumatic brain injury (TBI) and transplantation of human bone marrow stromal cells (hMSCs) after the injury were non-invasively and dynamically investigated. Male Wistar rats (300-350 g) subjected to TBI were intravenously injected with 1 ml of saline (n = 10) or with hMSCs in suspension (∼3 × 106 hMSCs, n = 10) 1-week post-TBI. MRI measurements of T2-weighted imaging and diffusional kurtosis imaging (DKI) were acquired on all animals at multiple time points up to 3-months post-injury. Functional outcome was assessed using the Morris water maze test. DKI-derived metrics of fractional anisotropy (FA), axonal water fraction (AWF) and radial kurtosis (RK) longitudinally reveal an evolving pattern of structural alteration post-TBI occurring in the brain region remote from primary impact site. The progressive structural change is characterized by gradual disruption of WM integrity at an early stage (weeks post-TBI), followed by spontaneous recovery at a later stage (months post-TBI). Transplantation of hMSCs post-TBI promotes this structural plasticity as indicated by significantly increased FA and AWF in conjunction with substantially elevated RK at the later stage. Our long-term imaging data demonstrate that hMSC therapy leads to modified temporal profiles of these metrics, inducing an earlier presence of enhanced structural remodeling, which may contribute to improved functional recovery.
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Affiliation(s)
- Lian Li
- Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA.
| | - Michael Chopp
- Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA; Department of Physics, Oakland University, Rochester, MI 48309, USA.
| | - Guangliang Ding
- Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA.
| | | | - Qingjiang Li
- Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA.
| | - Asim Mahmood
- Department of Neurosurgery, Henry Ford Health System, Detroit, MI 48208, USA.
| | - Ye Xiong
- Department of Neurosurgery, Henry Ford Health System, Detroit, MI 48208, USA.
| | - Quan Jiang
- Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA.
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26
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Wu T, Merkley TL, Wilde EA, Barnes A, Li X, Chu ZD, McCauley SR, Hunter JV, Levin HS. A preliminary report of cerebral white matter microstructural changes associated with adolescent sports concussion acutely and subacutely using diffusion tensor imaging. Brain Imaging Behav 2019; 12:962-973. [PMID: 28812290 DOI: 10.1007/s11682-017-9752-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Diffusion tensor imaging (DTI) has demonstrated its utility in detecting microscopic post-concussion cerebral white matter structural changes, which are not routinely evident on conventional neuroimaging modalities. In this study, we compared 10 adolescents with sports concussion (SC) to 12 orthopedically-injured (OI) individuals within 96 h and three months post injury to 12 typically-developing (TD) participants using DTI and volumetric analyses. In terms of volume, no group differences were noted between SC, OI and TD groups at both 96 h and three months post concussion. Results did not show significant differences between SC, OI, and TD groups for both fractional anisotropy (FA) and apparent diffusion coefficient (ADC) in all regions of interest within 96 h post concussion. However, at three months post-injury, the SC group exhibited significantly lower FA than the TD group in various regions of interest. In terms of ADC, significant group differences between SC and TD groups were found in some regions, with SC group having higher ADC than TD. No group differences for FA and ADC were noted between SC and OI groups at three months post-injury. However, several moderate effect sizes on between-group analyses were noted such that FA was lower and ADC was higher in SC relative to OI. Longitudinally, the SC group demonstrated decreased FA and increased ADC in some areas. The findings highlight the fact that the brain continues to change during the post-injury recovery period, and raises the possibility that adverse changes may result from the neurometabolic cascade that purportedly ensues following SC. DTI may potentially be used to characterize the nature of brain changes that occur following sports-related concussions.
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Affiliation(s)
- Trevor Wu
- Mercy Health St. Mary's, Michigan State University, 220 Cherry St SE, Grand Rapids, MI, 49503, USA
| | - Tricia L Merkley
- Barrow Neurological Institute, 222 W. Thomas Road, Suite 315, Phoenix, AZ, 85013, USA
| | - Elisabeth A Wilde
- Baylor College of Medicine, One Baylor Plaza BCM637, Houston, TX, 77030-3411, USA.
| | - Amanda Barnes
- University of Miami Miller School of Medicine, 1600 NW 10th Ave #1440, Miami, FL, 33136, USA
| | - Xiaoqi Li
- Baylor College of Medicine, One Baylor Plaza BCM637, Houston, TX, 77030-3411, USA
| | - Zili David Chu
- Baylor College of Medicine, One Baylor Plaza BCM637, Houston, TX, 77030-3411, USA
| | - Stephen R McCauley
- Baylor College of Medicine, One Baylor Plaza BCM637, Houston, TX, 77030-3411, USA
| | - Jill V Hunter
- Baylor College of Medicine, One Baylor Plaza BCM637, Houston, TX, 77030-3411, USA
| | - Harvey S Levin
- Baylor College of Medicine, One Baylor Plaza BCM637, Houston, TX, 77030-3411, USA
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27
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Zamani A, Mychasiuk R, Semple BD. Determinants of social behavior deficits and recovery after pediatric traumatic brain injury. Exp Neurol 2019; 314:34-45. [PMID: 30653969 DOI: 10.1016/j.expneurol.2019.01.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 12/29/2018] [Accepted: 01/12/2019] [Indexed: 12/15/2022]
Abstract
Traumatic brain injury (TBI) during early childhood is associated with a particularly high risk of developing social behavior impairments, including deficits in social cognition that manifest as reduced social interactions, with profound consequences for the individuals' quality of life. A number of pre-injury, post-injury, and injury-related factors have been identified or hypothesized to determine the extent of social behavior problems after childhood TBI. These include variables associated with the individual themselves (e.g. age, genetics, the injury severity, and extent of white matter damage), proximal environmental factors (e.g. family functioning, parental mental health), and more distal environmental factors (e.g. socioeconomic status, access to resources). In this review, we synthesize the available evidence demonstrating which of these determinants influence risk versus resilience to social behavior deficits after pediatric TBI, drawing upon the available clinical and preclinical literature. Injury-related pathology in neuroanatomical regions associated with social cognition and behaviors will also be described, with a focus on findings from magnetic resonance imaging and diffusion tensor imaging. Finally, study limitations and suggested future directions are highlighted. In summary, while no single variable can alone accurately predict the manifestation of social behavior problems after TBI during early childhood, an increased understanding of how both injury and environmental factors can influence social outcomes provides a useful framework for the development of more effective rehabilitation strategies aiming to optimize recovery for young brain-injured patients.
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Affiliation(s)
- Akram Zamani
- Department of Neuroscience, Monash University, Prahran, VIC, Australia
| | - Richelle Mychasiuk
- Department of Neuroscience, Monash University, Prahran, VIC, Australia; Department of Psychology, University of Calgary, Calgary, AB, Canada
| | - Bridgette D Semple
- Department of Neuroscience, Monash University, Prahran, VIC, Australia; Department of Medicine (Royal Melbourne Hospital), The University of Melbourne, Parkville, VIC, Australia.
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28
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Holshouser B, Pivonka-Jones J, Nichols JG, Oyoyo U, Tong K, Ghosh N, Ashwal S. Longitudinal Metabolite Changes after Traumatic Brain Injury: A Prospective Pediatric Magnetic Resonance Spectroscopic Imaging Study. J Neurotrauma 2018; 36:1352-1360. [PMID: 30351247 DOI: 10.1089/neu.2018.5919] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The aims of this study were to evaluate longitudinal metabolite changes in traumatic brain injury (TBI) subjects and determine whether early magnetic resonance spectroscopic imaging (MRSI) changes in discrete brain regions predict 1-year neuropsychological outcomes. Three-dimensional (3D) proton MRSI was performed in pediatric subjects with complicated mild (cMild), moderate, and severe injury, acutely (6-17 days) and 1-year post-injury along with neurological and cognitive testing. Longitudinal analysis found that in the cMild/Moderate group, all MRSI ratios from 12 regions returned to control levels at 1 year. In the severe group, only cortical gray matter regions fully recovered to control levels whereas N-acetylaspartate (NAA) ratios from the hemispheric white matter and subcortical regions remained statistically different from controls. A factor analysis reduced the data to two loading factors that significantly differentiated between TBI groups; one included acute regional NAA variables and another consisted of clinically observed variables (e.g., days in coma). Using scores calculated from the two loading factors in a logistic regression model, we found that the percent accuracy for classification of TBI groups was greatest for the dichotomized attention measure (93%), followed by Full Scale Intelligence Quotient at 91%, and the combined memory Z-score measure (90%). Using the acute basal ganglia NAA/creatine (Cr) ratio alone achieved a higher percent accuracy of 94.7% for the attention measure whereas the acute thalamic NAA/Cr ratio alone achieved a higher percent accuracy of 91.9% for the memory measure. These results support the conclusions that reduced NAA is an early indicator of tissue injury and that measurements from subcortical brain regions are more predictive of long-term cognitive outcome.
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Affiliation(s)
- Barbara Holshouser
- 1 Department of Radiology, Loma Linda University School of Medicine, Loma Linda, California
| | - Jamie Pivonka-Jones
- 2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California
| | - Joy G Nichols
- 2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California
| | - Udo Oyoyo
- 1 Department of Radiology, Loma Linda University School of Medicine, Loma Linda, California
| | - Karen Tong
- 1 Department of Radiology, Loma Linda University School of Medicine, Loma Linda, California
| | - Nirmalya Ghosh
- 2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California
| | - Stephen Ashwal
- 2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California
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29
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Relevance of neuroimaging for neurocognitive and behavioral outcome after pediatric traumatic brain injury. Brain Imaging Behav 2018; 12:29-43. [PMID: 28092022 PMCID: PMC5814510 DOI: 10.1007/s11682-017-9673-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
This study aims to (1) investigate the neuropathology of mild to severe pediatric TBI and (2) elucidate the predictive value of conventional and innovative neuroimaging for functional outcome. Children aged 8–14 years with trauma control (TC) injury (n = 27) were compared to children with mild TBI and risk factors for complicated TBI (mildRF+, n = 20) or moderate/severe TBI (n = 17) at 2.8 years post-injury. Neuroimaging measures included: acute computed tomography (CT), volumetric analysis on post-acute conventional T1-weighted magnetic resonance imaging (MRI) and post-acute diffusion tensor imaging (DTI, analyzed using tract-based spatial statistics and voxel-wise regression). Functional outcome was measured using Common Data Elements for neurocognitive and behavioral functioning. The results show that intracranial pathology on acute CT-scans was more prevalent after moderate/severe TBI (65%) than after mildRF+ TBI (35%; p = .035), while both groups had decreased white matter volume on conventional MRI (ps ≤ .029, ds ≥ −0.74). The moderate/severe TBI group further showed decreased fractional anisotropy (FA) in a widespread cluster affecting all white matter tracts, in which regional associations with neurocognitive functioning were observed (FSIQ, Digit Span and RAVLT Encoding) that consistently involved the corpus callosum. FA had superior predictive value for functional outcome (i.e. intelligence, attention and working memory, encoding in verbal memory and internalizing problems) relative to acute CT-scanning (i.e. internalizing problems) and conventional MRI (no predictive value). We conclude that children with mildRF+ TBI and moderate/severe TBI are at risk of persistent white matter abnormality. Furthermore, DTI has superior predictive value for neurocognitive out-come relative to conventional neuroimaging.
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30
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Experimental Traumatic Brain Injury Identifies Distinct Early and Late Phase Axonal Conduction Deficits of White Matter Pathophysiology, and Reveals Intervening Recovery. J Neurosci 2018; 38:8723-8736. [PMID: 30143572 PMCID: PMC6181309 DOI: 10.1523/jneurosci.0819-18.2018] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/15/2018] [Accepted: 07/10/2018] [Indexed: 01/26/2023] Open
Abstract
Traumatic brain injury (TBI) patients often exhibit slowed information processing speed that can underlie diverse symptoms. Processing speed depends on neural circuit function at synapses, in the soma, and along axons. Long axons in white matter (WM) tracts are particularly vulnerable to TBI. We hypothesized that disrupted axon–myelin interactions that slow or block action potential conduction in WM tracts may contribute to slowed processing speed after TBI. Concussive TBI in male/female mice was used to produce traumatic axonal injury in the corpus callosum (CC), similar to WM pathology in human TBI cases. Compound action potential velocity was slowed along myelinated axons at 3 d after TBI with partial recovery by 2 weeks, suggesting early demyelination followed by remyelination. Ultrastructurally, dispersed demyelinated axons and disorganized myelin attachment to axons at paranodes were apparent within CC regions exhibiting traumatic axonal injury. Action potential conduction is exquisitely sensitive to paranode abnormalities. Molecular identification of paranodes and nodes of Ranvier detected asymmetrical paranode pairs and abnormal heminodes after TBI. Fluorescent labeling of oligodendrocyte progenitors in NG2CreER;mTmG mice showed increased synthesis of new membranes extended along axons to paranodes, indicating remyelination after TBI. At later times after TBI, an overall loss of conducting axons was observed at 6 weeks followed by CC atrophy at 8 weeks. These studies identify a progression of both myelinated axon conduction deficits and axon–myelin pathology in the CC, implicating WM injury in impaired information processing at early and late phases after TBI. Furthermore, the intervening recovery reveals a potential therapeutic window. SIGNIFICANCE STATEMENT Traumatic brain injury (TBI) is a major global health concern. Across the spectrum of TBI severities, impaired information processing can contribute to diverse functional deficits that underlie persistent symptoms. We used experimental TBI to exploit technical advantages in mice while modeling traumatic axonal injury in white matter tracts, which is a key pathological feature of human TBI. A combination of approaches revealed slowed and failed signal conduction along with damage to the structure and molecular composition of myelinated axons in the white matter after TBI. An early regenerative response was not sustained yet reveals a potential time window for intervention. These insights into white matter abnormalities underlying axon conduction deficits can inform strategies to improve treatment options for TBI patients.
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Robinson S, Winer JL, Chan LAS, Oppong AY, Yellowhair TR, Maxwell JR, Andrews N, Yang Y, Sillerud LO, Meehan WP, Mannix R, Brigman JL, Jantzie LL. Extended Erythropoietin Treatment Prevents Chronic Executive Functional and Microstructural Deficits Following Early Severe Traumatic Brain Injury in Rats. Front Neurol 2018; 9:451. [PMID: 29971038 PMCID: PMC6018393 DOI: 10.3389/fneur.2018.00451] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 05/29/2018] [Indexed: 01/30/2023] Open
Abstract
Survivors of infant traumatic brain injury (TBI) are prone to chronic neurological deficits that impose lifelong individual and societal burdens. Translation of novel interventions to clinical trials is hampered in part by the lack of truly representative preclinical tests of cognition and corresponding biomarkers of functional outcomes. To address this gap, the ability of a high-dose, extended, post-injury regimen of erythropoietin (EPO, 3000U/kg/dose × 6d) to prevent chronic cognitive and imaging deficits was tested in a postnatal day 12 (P12) controlled-cortical impact (CCI) model in rats, using touchscreen operant chambers and regional analysis of diffusion tensor imaging (DTI). Results indicate that EPO prevents functional injury and MRI injury after infant TBI. Specifically, subacute DTI at P30 revealed widespread microstructural damage that is prevented by EPO. Assessment of visual discrimination on a touchscreen operant chamber platform demonstrated that all groups can perform visual discrimination. However, CCI rats treated with vehicle failed to pass reversal learning, and perseverated, in contrast to sham and CCI-EPO rats. Chronic DTI at P90 showed EPO treatment prevented contralateral white matter and ipsilateral lateral prefrontal cortex damage. This DTI improvement correlated with cognitive performance. Taken together, extended EPO treatment restores executive function and prevents microstructural brain abnormalities in adult rats with cognitive deficits in a translational preclinical model of infant TBI. Sophisticated testing with touchscreen operant chambers and regional DTI analyses may expedite translation and effective yield of interventions from preclinical studies to clinical trials. Collectively, these data support the use of EPO in clinical trials for human infants with TBI.
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Affiliation(s)
- Shenandoah Robinson
- Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.,Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.,F.M. Kirby Center for Neurobiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Jesse L Winer
- Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Lindsay A S Chan
- Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Akosua Y Oppong
- Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | | | - Jessie R Maxwell
- Department of Pediatrics, University of New Mexico, Albuquerque, NM, United States
| | - Nicholas Andrews
- F.M. Kirby Center for Neurobiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Yirong Yang
- Department of Pharmaceutical Sciences, University of New Mexico, Albuquerque, NM, United States
| | - Laurel O Sillerud
- Department of Neurology, University of New Mexico, Albuquerque, NM, United States
| | - William P Meehan
- Sports Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Rebekah Mannix
- Emergency Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Jonathan L Brigman
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, United States
| | - Lauren L Jantzie
- Department of Pediatrics, University of New Mexico, Albuquerque, NM, United States.,Department of Neurosciences, University of New Mexico, Albuquerque, NM, United States
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32
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Goodrich-Hunsaker NJ, Abildskov TJ, Black G, Bigler ED, Cohen DM, Mihalov LK, Bangert BA, Taylor HG, Yeates KO. Age- and sex-related effects in children with mild traumatic brain injury on diffusion magnetic resonance imaging properties: A comparison of voxelwise and tractography methods. J Neurosci Res 2018; 96:626-641. [PMID: 28984377 PMCID: PMC5803411 DOI: 10.1002/jnr.24142] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 07/28/2017] [Accepted: 07/28/2017] [Indexed: 12/27/2022]
Abstract
Although there are several techniques to analyze diffusion-weighted imaging, any technique must be sufficiently sensitive to detect clinical abnormalities. This is especially critical in disorders like mild traumatic brain injury (mTBI), where pathology is likely to be subtle. mTBI represents a major public health concern, especially for youth under 15 years of age. However, the developmental period from birth to 18 years is also a time of tremendous brain changes. Therefore, it is important to establish the degree of age- and sex-related differences. Participants were children aged 8-15 years with mTBI or mild orthopedic injuries. Imaging was obtained within 10 days of injury. We performed tract-based spatial statistics (TBSS), deterministic tractography using Automated Fiber Quantification (AFQ), and probabilistic tractography using TRACULA (TRActs Constrained by UnderLying Anatomy) to evaluate whether any method provided improved sensitivity at identifying group, developmental, and/or sex-related differences. Although there were no group differences from any of the three analyses, many of the tracts, but not all, revealed increases of fractional anisotropy and decreases of axial, radial, and mean diffusivity with age. TBSS analyses resulted in age-related changes across all white matter tracts. AFQ and TRACULA revealed age-related changes within the corpus callosum, cingulum cingulate, corticospinal tract, inferior and superior longitudinal fasciculus, and uncinate fasciculus. The results are in many ways consistent across all three methods. However, results from the tractography methods provided improved sensitivity and better tract-specific results for identifying developmental and sex-related differences within the brain.
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Affiliation(s)
| | | | - Garrett Black
- Ohio State University Fisher College of Business, Columbus, OH, USA
| | - Erin D. Bigler
- Department of Psychology, Brigham Young University, Provo, UT
| | - Daniel M. Cohen
- Division of Emergency Medicine, Nationwide Children’s Hospital, Columbus, OH
| | - Leslie K. Mihalov
- Division of Emergency Medicine, Nationwide Children’s Hospital, Columbus, OH
| | - Barbara A. Bangert
- Department of Radiology, Case Western Reserve University School of Medicine, Cleveland, OH
| | - H. Gerry Taylor
- Department of Pediatrics, Rainbow Babies and Children’s Hospital, Case Western Reserve University, Cleveland, OH
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Ryan NP, Genc S, Beauchamp MH, Yeates KO, Hearps S, Catroppa C, Anderson VA, Silk TJ. White matter microstructure predicts longitudinal social cognitive outcomes after paediatric traumatic brain injury: a diffusion tensor imaging study. Psychol Med 2018; 48:679-691. [PMID: 28780927 DOI: 10.1017/s0033291717002057] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Deficits in social cognition may be among the most profound and disabling sequelae of paediatric traumatic brain injury (TBI); however, the neuroanatomical correlates of longitudinal outcomes in this domain remain unexplored. This study aimed to characterize social cognitive outcomes longitudinally after paediatric TBI, and to evaluate the use of sub-acute diffusion tensor imaging (DTI) to predict these outcomes. METHODS The sample included 52 children with mild complex-severe TBI who were assessed on cognitive theory of mind (ToM), pragmatic language and affective ToM at 6- and 24-months post-injury. For comparison, 43 typically developing controls (TDCs) of similar age and sex were recruited. DTI data were acquired sub-acutely (mean = 5.5 weeks post-injury) in a subset of 65 children (TBI = 35; TDC = 30) to evaluate longitudinal prospective relationships between white matter microstructure assessed using Tract-Based Spatial Statistics and social cognitive outcomes. RESULTS Whole brain voxel-wise analysis revealed significantly higher mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) in the sub-acute TBI group compared with TDC, with differences observed predominantly in the splenium of the corpus callosum (sCC), sagittal stratum (SS), dorsal cingulum (DC), uncinate fasciculus (UF) and middle and superior cerebellar peduncles (MCP & SCP, respectively). Relative to TDCs, children with TBI showed poorer cognitive ToM, affective ToM and pragmatic language at 6-months post-insult, and those deficits were related to abnormal diffusivity of the sCC, SS, DC, UF, MCP and SCP. Moreover, children with TBI showed poorer affective ToM and pragmatic language at 24-months post-injury, and those outcomes were predicted by sub-acute alterations in diffusivity of the DC and MCP. CONCLUSIONS Abnormal microstructure within frontal-temporal, limbic and cerebro-cerebellar white matter may be a risk factor for long-term social difficulties observed in children with TBI. DTI may have potential to unlock early prognostic markers of long-term social outcomes.
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Affiliation(s)
- N P Ryan
- Australian Centre for Child Neuropsychological Studies,Murdoch Children's Research Institute,Melbourne,Australia
| | - S Genc
- Developmental Imaging,Murdoch Childrens Research Institute,Melbourne,Australia
| | - M H Beauchamp
- Department of Psychology,University of Montreal,Montreal,Canada
| | - K O Yeates
- Department of Psychology,Hotchkiss Brain Institute,Calgary, Alberta,Canada
| | - S Hearps
- Australian Centre for Child Neuropsychological Studies,Murdoch Children's Research Institute,Melbourne,Australia
| | - C Catroppa
- Australian Centre for Child Neuropsychological Studies,Murdoch Children's Research Institute,Melbourne,Australia
| | - V A Anderson
- Australian Centre for Child Neuropsychological Studies,Murdoch Children's Research Institute,Melbourne,Australia
| | - T J Silk
- Developmental Imaging,Murdoch Childrens Research Institute,Melbourne,Australia
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34
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Dennis EL, Babikian T, Giza CC, Thompson PM, Asarnow RF. Neuroimaging of the Injured Pediatric Brain: Methods and New Lessons. Neuroscientist 2018; 24:652-670. [PMID: 29488436 DOI: 10.1177/1073858418759489] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Traumatic brain injury (TBI) is a significant public health problem in the United States, especially for children and adolescents. Current epidemiological data estimate over 600,000 patients younger than 20 years are treated for TBI in emergency rooms annually. While many patients experience a full recovery, for others there can be long-lasting cognitive, neurological, psychological, and behavioral disruptions. TBI in youth can disrupt ongoing brain development and create added family stress during a formative period. The neuroimaging methods used to assess brain injury improve each year, providing researchers a more detailed characterization of the injury and recovery process. In this review, we cover current imaging methods used to quantify brain disruption post-injury, including structural magnetic resonance imaging (MRI), diffusion MRI, functional MRI, resting state fMRI, and magnetic resonance spectroscopy (MRS), with brief coverage of other methods, including electroencephalography (EEG), single-photon emission computed tomography (SPECT), and positron emission tomography (PET). We include studies focusing on pediatric moderate-severe TBI from 2 months post-injury and beyond. While the morbidity of pediatric TBI is considerable, continuing advances in imaging methods have the potential to identify new treatment targets that can lead to significant improvements in outcome.
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Affiliation(s)
- Emily L Dennis
- 1 Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University Southern California, Marina del Rey, CA, USA
| | - Talin Babikian
- 2 Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.,3 UCLA Brain Injury Research Center, Department of Neurosurgery and Division of Pediatric Neurology, Mattel Children's Hospital, Los Angeles, CA, USA.,4 UCLA Steve Tisch BrainSPORT Program, Los Angeles, CA, USA
| | - Christopher C Giza
- 3 UCLA Brain Injury Research Center, Department of Neurosurgery and Division of Pediatric Neurology, Mattel Children's Hospital, Los Angeles, CA, USA.,4 UCLA Steve Tisch BrainSPORT Program, Los Angeles, CA, USA.,5 Brain Research Institute, University of California, Los Angeles, CA, USA
| | - Paul M Thompson
- 1 Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University Southern California, Marina del Rey, CA, USA.,6 Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, University of Southern California, Los Angeles, CA, USA
| | - Robert F Asarnow
- 2 Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.,4 UCLA Steve Tisch BrainSPORT Program, Los Angeles, CA, USA.,5 Brain Research Institute, University of California, Los Angeles, CA, USA.,7 Department of Psychology, University of California, Los Angeles, CA, USA
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35
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Ewing-Cobbs L, Johnson CP, Juranek J, DeMaster D, Prasad M, Duque G, Kramer L, Cox CS, Swank PR. Longitudinal diffusion tensor imaging after pediatric traumatic brain injury: Impact of age at injury and time since injury on pathway integrity. Hum Brain Mapp 2018; 37:3929-3945. [PMID: 27329317 DOI: 10.1002/hbm.23286] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2015] [Revised: 05/27/2016] [Accepted: 06/05/2016] [Indexed: 01/09/2023] Open
Abstract
Following pediatric traumatic brain injury (TBI), longitudinal diffusion tensor imaging may characterize alterations in initial recovery and subsequent trajectory of white matter development. Our primary aim examined effects of age at injury and time since injury on pathway microstructure in children ages 6-15 scanned 3 and 24 months after TBI. Microstructural values generated using tract-based spatial statistics extracted from core association, limbic, and projection pathways were analyzed using general linear mixed models. Relative to children with orthopedic injury, the TBI group had lower fractional anisotropy (FA) bilaterally in all seven pathways. In left-hemisphere association pathways, school-aged children with TBI had the lowest initial pathway integrity and showed the greatest increase in FA over time suggesting continued development despite incomplete recovery. Adolescents showed limited change in FA and radial diffusivity and had the greatest residual deficit suggesting relatively arrested development. Radial diffusivity was persistently elevated in the TBI group, implicating dysmyelination as a core contributor to chronic post-traumatic neurodegenerative changes. The secondary aim compared FA values over time in the total sample, including participants contributing either one or two scans to the analysis, to the longitudinal cases contributing two scans. For each pathway, FA values and effect sizes were very similar and indicated extremely small differences in measurement of change over time in the total and longitudinal samples. Statistical approaches incorporating missing data may reliably estimate the effects of TBI and provide increased power to identify whether pathways show neurodegeneration, arrested development, or continued growth following pediatric TBI. Hum Brain Mapp 37:3929-3945, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Linda Ewing-Cobbs
- Departments of Pediatrics, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030. .,Pediatric Surgery, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030.
| | - Chad Parker Johnson
- Departments of Pediatrics, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030.,The Children's Learning Institute, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
| | - Jenifer Juranek
- Departments of Pediatrics, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030.,The Children's Learning Institute, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
| | - Dana DeMaster
- Departments of Pediatrics, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030.,The Children's Learning Institute, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
| | - Mary Prasad
- Departments of Pediatrics, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030.,The Children's Learning Institute, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
| | - Gerardo Duque
- Departments of Pediatrics, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030.,The Children's Learning Institute, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
| | - Larry Kramer
- Diagnostic and Interventional Radiology, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
| | - Charles S Cox
- Pediatric Surgery, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
| | - Paul R Swank
- School of Public Health, University of Texas Health Sciences Center at Houston, Houston, Texas, 77030
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36
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Fidan E, Foley LM, New LA, Alexander H, Kochanek PM, Hitchens TK, Bayır H. Metabolic and Structural Imaging at 7 Tesla After Repetitive Mild Traumatic Brain Injury in Immature Rats. ASN Neuro 2018; 10:1759091418770543. [PMID: 29741097 PMCID: PMC5944144 DOI: 10.1177/1759091418770543] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 03/03/2018] [Accepted: 03/20/2018] [Indexed: 11/15/2022] Open
Abstract
Mild traumatic brain injury (mTBI) in children is a common and serious public health problem. Traditional neuroimaging findings in children who sustain mTBI are often normal, putting them at risk for repeated mTBI (rmTBI). There is a need for more sensitive imaging techniques capable of detecting subtle neurophysiological alterations after injury. We examined neurochemical and white matter changes using diffusion tensor imaging of the whole brain and proton magnetic resonance spectroscopy of the hippocampi at 7 Tesla in 18-day-old male rats at 7 days after mTBI and rmTBI. Traumatic axonal injury was assessed by beta-amyloid precursor protein accumulation using immunohistochemistry. A significant decrease in fractional anisotropy and increase in axial and radial diffusivity were observed in several brain regions, especially in white matter regions, after a single mTBI versus sham and more prominently after rmTBI. In addition, we observed accumulation of beta-amyloid precursor protein in the external capsule after mTBI and rmTBI. mTBI and rmTBI reduced the N-acetylaspartate/creatine ratio (NAA/Cr) and increased the myoinositol/creatine ratio (Ins/Cr) versus sham. rmTBI exacerbated the reduction in NAA/Cr versus mTBI. The choline/creatine (Cho/Cr) and (lipid/Macro Molecule 1)/creatine (Lip/Cr) ratios were also decreased after rmTBI versus sham. Diffusion tensor imaging findings along with the decrease in Cho and Lip after rmTBI may reflect damage to axonal membrane. NAA and Ins are altered at 7 days after mTBI and rmTBI likely reflecting neuro-axonal damage and glial response, respectively. These findings may be relevant to understanding the extent of disability following mTBI and rmTBI in the immature brain and may identify possible therapeutic targets.
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Affiliation(s)
- Emin Fidan
- Safar Center for Resuscitation Research, Department of Critical Care Medicine, University of Pittsburgh, PA, USA
| | - Lesley M. Foley
- Pittsburgh NMR Center for Biomedical Research, Carnegie Mellon University, PA, USA
- Animal Imaging Center, University of Pittsburgh, PA, USA
| | - Lee Ann New
- Safar Center for Resuscitation Research, Department of Critical Care Medicine, University of Pittsburgh, PA, USA
| | - Henry Alexander
- Safar Center for Resuscitation Research, Department of Critical Care Medicine, University of Pittsburgh, PA, USA
| | - Patrick M. Kochanek
- Safar Center for Resuscitation Research, Department of Critical Care Medicine, University of Pittsburgh, PA, USA
| | - T. Kevin Hitchens
- Pittsburgh NMR Center for Biomedical Research, Carnegie Mellon University, PA, USA
- Animal Imaging Center, University of Pittsburgh, PA, USA
| | - Hülya Bayır
- Safar Center for Resuscitation Research, Department of Critical Care Medicine, University of Pittsburgh, PA, USA
- Children's Neuroscience Institute
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37
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Kislay K, Devi BI, Bhat DI, Shukla DP, Gupta AK, Panda R. Novel Findings in Obstetric Brachial Plexus Palsy: A Study of Corpus Callosum Volumetry and Resting-State Functional Magnetic Resonance Imaging of Sensorimotor Network. Neurosurgery 2017; 83:905-914. [DOI: 10.1093/neuros/nyx495] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 09/11/2017] [Indexed: 01/23/2023] Open
Abstract
Abstract
BACKGROUND
The response of the brain to obstetric brachial plexus palsy (OBPP) is not clearly understood. We propose that even a peripheral insult at the developmental stage may result in changes in the volume of white matter of the brain, which we studied using corpus callosum volumetry and resting-state functional magnetic resonance imaging (rsfMRI) of sensorimotor network.
OBJECTIVE
To study the central neural effects in OBPP.
METHODS
We performed an MRI study on a cohort of 14 children who had OBPP and 14 healthy controls. The mean age of the test subjects was 10.07 ± 1.22 yr (95% confidence interval). Corpus callosum volumetry was compared with that of age-matched healthy subjects. Hofer and Frahm segmentation was used. Resting-state fMRI data were analyzed using the FSL software (FMRIB Software Library v5.0, Oxford, United Kingdom), and group analysis of the sensorimotor network was performed.
RESULTS
Statistical analysis of corpus callosum volume revealed significant differences between the OBPP cohort and healthy controls, especially in the motor association areas. Independent t-test revealed statistically significant volume loss in segments I (prefrontal), II (premotor), and IV (primary sensory area). rsfMRI of sensorimotor network showed decreased activation in the test hemisphere (the side contralateral to the injured brachial plexus) and also decreased activation in the ipsilateral hemisphere, when compared with healthy controls.
CONCLUSION
OBPP occurs in an immature brain and causes central cortical changes. There is secondary corpus callosum atrophy which may be due to retrograde transneuronal degeneration. This in turn may result in disruption of interhemispheric coactivation and consequent reduction in activation of sensorimotor network even in the ipsilateral hemisphere.
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Affiliation(s)
- Kishore Kislay
- Departments of Neurosurgery, Nation-al Institute of Mental Health and Neu-rosciences (NIMHANS), Bangalore, India
| | - Bhagavatula Indira Devi
- Departments of Neurosurgery, Nation-al Institute of Mental Health and Neu-rosciences (NIMHANS), Bangalore, India
| | - Dhananjaya Ishwar Bhat
- Departments of Neurosurgery, Nation-al Institute of Mental Health and Neu-rosciences (NIMHANS), Bangalore, India
| | - Dhaval Prem Shukla
- Departments of Neurosurgery, Nation-al Institute of Mental Health and Neu-rosciences (NIMHANS), Bangalore, India
| | - Arun Kumar Gupta
- Departments of Neuroimaging and In-terventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Rajanikant Panda
- Departments of Neuroimaging and In-terventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
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38
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Dennis EL, Babikian T, Giza CC, Thompson PM, Asarnow RF. Diffusion MRI in pediatric brain injury. Childs Nerv Syst 2017; 33:1683-1692. [PMID: 29149383 PMCID: PMC6482947 DOI: 10.1007/s00381-017-3522-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 07/03/2017] [Indexed: 12/16/2022]
Abstract
Traumatic brain injury (TBI) is a major public health issue around the world and can be especially devastating in children as TBI can derail cognitive and social development. White matter (WM) is particularly vulnerable to disruption post-TBI, as myelination is ongoing during this period. Diffusion magnetic resonance imaging (dMRI) is a versatile modality for identifying and quantifying WM disruption and can detect diffuse axonal injury (DAI or TAI (traumatic axonal injury)). This review covers dMRI studies of pediatric TBI, including mild to severe injuries, and covering all periods post-injury. While there have been considerable advances in our understanding of pediatric TBI through the use of dMRI, there are still large gaps in our knowledge, which will be filled in by larger studies and more longitudinal studies. Heterogeneity post-injury is an obstacle in all TBI studies, but we expect that larger better-characterized samples will aid in identifying clinically meaningful subgroups within the pediatric TBI patient population.
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Affiliation(s)
- Emily L Dennis
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
| | - Talin Babikian
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Christopher C Giza
- UCLA Brain Injury Research Center, Dept of Neurosurgery and Division of Pediatric Neurology, Mattel Children's Hospital, Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
- Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, CA, USA
| | - Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
- Department of Psychology, UCLA, Los Angeles, CA, USA
- Brain Research Institute, UCLA, Los Angeles, CA, USA
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39
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Taib T, Leconte C, Van Steenwinckel J, Cho AH, Palmier B, Torsello E, Lai Kuen R, Onyeomah S, Ecomard K, Benedetto C, Coqueran B, Novak AC, Deou E, Plotkine M, Gressens P, Marchand-Leroux C, Besson VC. Neuroinflammation, myelin and behavior: Temporal patterns following mild traumatic brain injury in mice. PLoS One 2017; 12:e0184811. [PMID: 28910378 PMCID: PMC5599047 DOI: 10.1371/journal.pone.0184811] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Accepted: 08/31/2017] [Indexed: 01/11/2023] Open
Abstract
Traumatic brain injury (TBI) results in white matter injury (WMI) that is associated with neurological deficits. Neuroinflammation originating from microglial activation may participate in WMI and associated disorders. To date, there is little information on the time courses of these events after mild TBI. Therefore we investigated (i) neuroinflammation, (ii) WMI and (iii) behavioral disorders between 6 hours and 3 months after mild TBI. For that purpose, we used experimental mild TBI in mice induced by a controlled cortical impact. (i) For neuroinflammation, IL-1b protein as well as microglial phenotypes, by gene expression for 12 microglial activation markers on isolated CD11b+ cells from brains, were studied after TBI. IL-1b protein was increased at 6 hours and 1 day. TBI induced a mixed population of microglial phenotypes with both pro-inflammatory, anti-inflammatory and immunomodulatory markers from 6 hours to 3 days post-injury. At 7 days, microglial activation was completely resolved. (ii) Three myelin proteins were assessed after TBI on ipsi- and contralateral corpus callosum, as this structure is enriched in white matter. TBI led to an increase in 2',3'-cyclic-nucleotide 3'-phosphodiesterase, a marker of immature and mature oligodendrocyte, at 2 days post-injury; a bilateral demyelination, evaluated by myelin basic protein, from 7 days to 3 months post-injury; and an increase in myelin oligodendrocyte glycoprotein at 6 hours and 3 days post-injury. Transmission electron microscopy study revealed various myelin sheath abnormalities within the corpus callosum at 3 months post-TBI. (iii) TBI led to sensorimotor deficits at 3 days post-TBI, and late cognitive flexibility disorder evidenced by the reversal learning task of the Barnes maze 3 months after injury. These data give an overall invaluable overview of time course of neuroinflammation that could be involved in demyelination and late cognitive disorder over a time-scale of 3 months in a model of mild TBI. This model could help to validate a pharmacological strategy to prevent post-traumatic WMI and behavioral disorders following mild TBI.
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Affiliation(s)
- Toufik Taib
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Claire Leconte
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | | | - Angelo H. Cho
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Bruno Palmier
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Egle Torsello
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Rene Lai Kuen
- Cellular and Molecular Imaging Platform, CRP2, UMS 3612 CNRS, US25 INSERM, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Somfieme Onyeomah
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Karine Ecomard
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Chiara Benedetto
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Bérard Coqueran
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Anne-Catherine Novak
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Edwige Deou
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Michel Plotkine
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Pierre Gressens
- U1141 PROTECT, INSERM, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Catherine Marchand-Leroux
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Valérie C. Besson
- EA4475 – Pharmacologie de la Circulation Cérébrale, Faculté de Pharmacie de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
- * E-mail:
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Ryan NP, Catroppa C, Beare R, Silk TJ, Hearps SJ, Beauchamp MH, Yeates KO, Anderson VA. Uncovering the neuroanatomical correlates of cognitive, affective and conative theory of mind in paediatric traumatic brain injury: a neural systems perspective. Soc Cogn Affect Neurosci 2017; 12:1414-1427. [PMID: 28505355 PMCID: PMC5629820 DOI: 10.1093/scan/nsx066] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Revised: 04/17/2017] [Accepted: 04/23/2017] [Indexed: 12/14/2022] Open
Abstract
Deficits in theory of mind (ToM) are common after neurological insult acquired in the first and second decade of life, however the contribution of large-scale neural networks to ToM deficits in children with brain injury is unclear. Using paediatric traumatic brain injury (TBI) as a model, this study investigated the sub-acute effect of paediatric traumatic brain injury on grey-matter volume of three large-scale, domain-general brain networks (the Default Mode Network, DMN; the Central Executive Network, CEN; and the Salience Network, SN), as well as two domain-specific neural networks implicated in social-affective processes (the Cerebro-Cerebellar Mentalizing Network, CCMN and the Mirror Neuron/Empathy Network, MNEN). We also evaluated prospective structure-function relationships between these large-scale neural networks and cognitive, affective and conative ToM. 3D T1- weighted magnetic resonance imaging sequences were acquired sub-acutely in 137 children [TBI: n = 103; typically developing (TD) children: n = 34]. All children were assessed on measures of ToM at 24-months post-injury. Children with severe TBI showed sub-acute volumetric reductions in the CCMN, SN, MNEN, CEN and DMN, as well as reduced grey-matter volumes of several hub regions of these neural networks. Volumetric reductions in the CCMN and several of its hub regions, including the cerebellum, predicted poorer cognitive ToM. In contrast, poorer affective and conative ToM were predicted by volumetric reductions in the SN and MNEN, respectively. Overall, results suggest that cognitive, affective and conative ToM may be prospectively predicted by individual differences in structure of different neural systems-the CCMN, SN and MNEN, respectively. The prospective relationship between cerebellar volume and cognitive ToM outcomes is a novel finding in our paediatric brain injury sample and suggests that the cerebellum may play a role in the neural networks important for ToM. These findings are discussed in relation to neurocognitive models of ToM. We conclude that detection of sub-acute volumetric abnormalities of large-scale neural networks and their hub regions may aid in the early identification of children at risk for chronic social-cognitive impairment.
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Affiliation(s)
- Nicholas P. Ryan
- Australian Centre for Child Neuropsychological Studies, Murdoch Childrens Research Institute, Parkville, VIC, Australia
- Department of Psychology, Royal Children’s Hospital, Parkville, VIC, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Cathy Catroppa
- Australian Centre for Child Neuropsychological Studies, Murdoch Childrens Research Institute, Parkville, VIC, Australia
- Department of Psychology, Royal Children’s Hospital, Parkville, VIC, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Richard Beare
- Developmental Imaging, Murdoch Childrens Research Institute, Parkville, VIC, Australia
| | - Timothy J. Silk
- Developmental Imaging, Murdoch Childrens Research Institute, Parkville, VIC, Australia
- Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Stephen J. Hearps
- Australian Centre for Child Neuropsychological Studies, Murdoch Childrens Research Institute, Parkville, VIC, Australia
| | - Miriam H. Beauchamp
- Department of Psychology, University of Montreal, Montreal, QC, Canada
- Ste-Justine Research Center, Montreal, QC, Canada
| | - Keith O. Yeates
- Hotchkiss Brain Institute, Alberta Children’s Hospital Research Institute, and Department of Psychology, The University of Calgary, Calgary, AB, Canada
| | - Vicki A. Anderson
- Australian Centre for Child Neuropsychological Studies, Murdoch Childrens Research Institute, Parkville, VIC, Australia
- Department of Psychology, Royal Children’s Hospital, Parkville, VIC, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
- Department of Pediatrics, University of Melbourne, Parkville, VIC, Australia
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McDonald S, Rushby JA, Dalton KI, Allen SK, Parks N. The role of abnormalities in the corpus callosum in social cognition deficits after Traumatic Brain Injury. Soc Neurosci 2017; 13:471-479. [DOI: 10.1080/17470919.2017.1356370] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Skye McDonald
- School of Psychology, University of New South Wales, Sydney, Australia
| | | | - Katie I. Dalton
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Samantha K. Allen
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Nicklas Parks
- School of Psychology, University of New South Wales, Sydney, Australia
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Ghosh N, Holshouser B, Oyoyo U, Barnes S, Tong K, Ashwal S. Combined Diffusion Tensor and Magnetic Resonance Spectroscopic Imaging Methodology for Automated Regional Brain Analysis: Application in a Normal Pediatric Population. Dev Neurosci 2017. [PMID: 28651252 DOI: 10.1159/000475545] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
During human brain development, anatomic regions mature at different rates. Quantitative anatomy-specific analysis of longitudinal diffusion tensor imaging (DTI) and magnetic resonance spectroscopic imaging (MRSI) data may improve our ability to quantify and categorize these maturational changes. Computational tools designed to quickly fuse and analyze imaging information from multiple, technically different datasets would facilitate research on changes during normal brain maturation and for comparison to disease states. In the current study, we developed a complete battery of computational tools to execute such data analyses that include data preprocessing, tract-based statistical analysis from DTI data, automated brain anatomy parsing from T1-weighted MR images, assignment of metabolite information from MRSI data, and co-alignment of these multimodality data streams for reporting of region-specific indices. We present statistical analyses of regional DTI and MRSI data in a cohort of normal pediatric subjects (n = 72; age range: 5-18 years; mean 12.7 ± 3.3 years) to establish normative data and evaluate maturational trends. Several regions showed significant maturational changes for several DTI parameters and MRSI ratios, but the percent change over the age range tended to be small. In the subcortical region (combined basal ganglia [BG], thalami [TH], and corpus callosum [CC]), the largest combined percent change was a 10% increase in fractional anisotropy (FA) primarily due to increases in the BG (12.7%) and TH (9%). The largest significant percent increase in N-acetylaspartate (NAA)/creatine (Cr) ratio was seen in the brain stem (BS) (18.8%) followed by the subcortical regions in the BG (11.9%), CC (8.9%), and TH (6.0%). We found consistent, significant (p < 0.01), but weakly positive correlations (r = 0.228-0.329) between NAA/Cr ratios and mean FA in the BS, BG, and CC regions. Age- and region-specific normative MR diffusion and spectroscopic metabolite ranges show brain maturation changes and are requisite for detecting abnormalities in an injured or diseased population.
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Affiliation(s)
- Nirmalya Ghosh
- Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
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43
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Translating biomarkers from research to clinical use in pediatric neurocritical care: focus on traumatic brain injury and cardiac arrest. Curr Opin Pediatr 2017; 29:272-279. [PMID: 28319562 DOI: 10.1097/mop.0000000000000488] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW Traumatic brain injury (TBI) and cardiac arrest are important causes of morbidity and mortality in children. Improved diagnosis and outcome prognostication using validated biomarkers could allow clinicians to better tailor therapies for optimal efficacy. RECENT FINDINGS Contemporary investigation has yielded plentiful biomarker candidates of central nervous system (CNS) injury, including macromolecules, genetic, inflammatory, oxidative, and metabolic biomarkers. Biomarkers have yet to be validated and translated into bedside point-of-care or cost-effective and efficient laboratory tests. Validation testing should consider developmental status, injury mechanism, and time trajectory with patient-centered outcomes. SUMMARY Recent investigation of biomarkers of CNS injury may soon improve diagnosis, management, and prognostication in children with traumatic brain injury and cardiac arrest.
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44
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Dennis EL, Faskowitz J, Rashid F, Babikian T, Mink R, Babbitt C, Johnson J, Giza CC, Jahanshad N, Thompson PM, Asarnow RF. Diverging volumetric trajectories following pediatric traumatic brain injury. Neuroimage Clin 2017; 15:125-135. [PMID: 28507895 PMCID: PMC5423316 DOI: 10.1016/j.nicl.2017.03.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 03/09/2017] [Accepted: 03/13/2017] [Indexed: 11/01/2022]
Abstract
Traumatic brain injury (TBI) is a significant public health concern, and can be especially disruptive in children, derailing on-going neuronal maturation in periods critical for cognitive development. There is considerable heterogeneity in post-injury outcomes, only partially explained by injury severity. Understanding the time course of recovery, and what factors may delay or promote recovery, will aid clinicians in decision-making and provide avenues for future mechanism-based therapeutics. We examined regional changes in brain volume in a pediatric/adolescent moderate-severe TBI (msTBI) cohort, assessed at two time points. Children were first assessed 2-5 months post-injury, and again 12 months later. We used tensor-based morphometry (TBM) to localize longitudinal volume expansion and reduction. We studied 21 msTBI patients (5 F, 8-18 years old) and 26 well-matched healthy control children, also assessed twice over the same interval. In a prior paper, we identified a subgroup of msTBI patients, based on interhemispheric transfer time (IHTT), with significant structural disruption of the white matter (WM) at 2-5 months post injury. We investigated how this subgroup (TBI-slow, N = 11) differed in longitudinal regional volume changes from msTBI patients (TBI-normal, N = 10) with normal WM structure and function. The TBI-slow group had longitudinal decreases in brain volume in several WM clusters, including the corpus callosum and hypothalamus, while the TBI-normal group showed increased volume in WM areas. Our results show prolonged atrophy of the WM over the first 18 months post-injury in the TBI-slow group. The TBI-normal group shows a different pattern that could indicate a return to a healthy trajectory.
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Affiliation(s)
- Emily L Dennis
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA.
| | - Joshua Faskowitz
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Faisal Rashid
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Talin Babikian
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, USA
| | - Richard Mink
- Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute, Department of Pediatrics, Torrance, CA 90509, USA
| | | | - Jeffrey Johnson
- LAC+USC Medical Center, Department of Pediatrics, Los Angeles, CA 90033, USA
| | - Christopher C Giza
- UCLA Brain Injury Research Center, UCLA Steve Tisch BrainSPORT Program, Dept of Neurosurgery and Division of Pediatric Neurology, Mattel Children's Hospital, Los Angeles, CA 90095, USA; Brain Research Institute, UCLA, Los Angeles, CA 90024, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA; Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, CA 90033, USA
| | - Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, USA; Department of Psychology, UCLA, Los Angeles, CA 90024, USA; Brain Research Institute, UCLA, Los Angeles, CA 90024, USA
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Dennis EL, Rashid F, Ellis MU, Babikian T, Vlasova RM, Villalon-Reina JE, Jin Y, Olsen A, Mink R, Babbitt C, Johnson J, Giza CC, Thompson PM, Asarnow RF. Diverging white matter trajectories in children after traumatic brain injury: The RAPBI study. Neurology 2017; 88:1392-1399. [PMID: 28298549 DOI: 10.1212/wnl.0000000000003808] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 10/19/2016] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE To examine longitudinal trajectories of white matter organization in pediatric moderate/severe traumatic brain injury (msTBI) over a 12-month period. METHODS We studied 21 children (16 M/5 F) with msTBI, assessed 2-5 months postinjury and again 13-19 months postinjury, as well as 20 well-matched healthy control children. We assessed corpus callosum function through interhemispheric transfer time (IHTT), measured using event-related potentials, and related this to diffusion-weighted MRI measures of white matter (WM) microstructure. At the first time point, half of the patients with TBI had significantly slower IHTT (TBI-slow-IHTT, n = 11) and half were in the normal range (TBI-normal-IHTT, n = 10). RESULTS The TBI-normal-IHTT group did not differ significantly from healthy controls, either in WM organization in the chronic phase or in the longitudinal trajectory of WM organization between the 2 evaluations. In contrast, the WM organization of the TBI-slow-IHTT group was significantly lower than in healthy controls across a large portion of the WM. Longitudinal analyses showed that the TBI-slow-IHTT group experienced a progressive decline between the 2 evaluations in WM organization throughout the brain. CONCLUSIONS We present preliminary evidence suggesting a potential biomarker that identifies a subset of patients with impaired callosal organization in the first months postinjury who subsequently experience widespread continuing and progressive degeneration in the first year postinjury.
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Affiliation(s)
- Emily L Dennis
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA.
| | - Faisal Rashid
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Monica U Ellis
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Talin Babikian
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Roza M Vlasova
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Julio E Villalon-Reina
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Yan Jin
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Alexander Olsen
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Richard Mink
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Christopher Babbitt
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Jeffrey Johnson
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Christopher C Giza
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Paul M Thompson
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Robert F Asarnow
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
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Guerriero RM, Schlaggar BL. An important step toward a functional biomarker in pediatric TBI recovery and outcome. Neurology 2017; 88:1386-1387. [DOI: 10.1212/wnl.0000000000003822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Shin SS, Pelled G. Novel Neuromodulation Techniques to Assess Interhemispheric Communication in Neural Injury and Neurodegenerative Diseases. Front Neural Circuits 2017; 11:15. [PMID: 28337129 PMCID: PMC5343068 DOI: 10.3389/fncir.2017.00015] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Accepted: 02/20/2017] [Indexed: 12/23/2022] Open
Abstract
Interhemispheric interaction has a major role in various neurobehavioral functions. Its disruption is a major contributor to the pathological changes in the setting of brain injury such as traumatic brain injury, peripheral nerve injury, and stroke, as well as neurodegenerative diseases. Because interhemispheric interaction has a crucial role in functional consequence in these neuropathological states, a review of noninvasive and state-of-the-art molecular based neuromodulation methods that focus on or have the potential to elucidate interhemispheric interaction have been performed. This yielded approximately 170 relevant articles on human subjects or animal models. There has been a recent surge of reports on noninvasive methods such as transcranial magnetic stimulation and transcranial direct current stimulation. Since these are noninvasive techniques with little to no side effects, their widespread use in clinical studies can be easily justified. The overview of novel neuromodulation methods and how they can be applied to study the role of interhemispheric communication in neural injury and neurodegenerative disease is provided. Additionally, the potential of each method in therapeutic use as well as investigating the pathophysiology of interhemispheric interaction in neurodegenerative diseases and brain injury is discussed. New technologies such as transcranial magnetic stimulation or transcranial direct current stimulation could have a great impact in understanding interhemispheric pathophysiology associated with acquired injury and neurodegenerative diseases, as well as designing improved rehabilitation therapies. Also, advances in molecular based neuromodulation techniques such as optogenetics and other chemical, thermal, and magnetic based methods provide new capabilities to stimulate or inhibit a specific brain location and a specific neuronal population.
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Affiliation(s)
- Samuel S Shin
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger InstituteBaltimore, MD, USA; Department of Radiology, Johns Hopkins University School of MedicineBaltimore, MD, USA
| | - Galit Pelled
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger InstituteBaltimore, MD, USA; Department of Radiology, Johns Hopkins University School of MedicineBaltimore, MD, USA
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Toth A, Kornyei B, Kovacs N, Rostas T, Buki A, Doczi T, Bogner P, Schwarcz A. Both hemorrhagic and non-hemorrhagic traumatic MRI lesions are associated with the microstructural damage of the normal appearing white matter. Behav Brain Res 2017; 340:106-116. [PMID: 28249729 DOI: 10.1016/j.bbr.2017.02.039] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 10/11/2016] [Accepted: 02/22/2017] [Indexed: 10/20/2022]
Abstract
Traumatic microbleeds (TMBs) and non-hemorrhagic lesions (NHLs) on MRI are regarded as surrogate markers of diffuse axonal injury. However, the actual relation between lesional and diffuse pathology remained unclear, since lesions were related to clinical parameters, largely influenced by extracranial factors. The aim of this study is to directly compare TMBs, NHLs and their regional features with the co-existing diffuse injury of the normal appearing white matter (NAWM) as measured by diffusion tensor imaging (DTI). Thirty-eight adults with a closed traumatic brain injury (12 mild, 4 moderate and 22 severe) who underwent susceptibility weighted imaging (SWI), T1-, T2 weighted and FLAIR MRI and routine CT were included in the study. TMB (on SWI) and NHL (on T1-, T2 weighted and FLAIR images) features and Rotterdam scores were evaluated. DTI metrics such as fractional anisotropy (FA) and mean diffusivity (MD) were measured over different NAWM regions. Clinical parameters including age; Glasgow Coma Scale; Rotterdam score; TMB and NHL features were correlated to regional NAWM diffusivity using multiple regression. Overall NHL presence and basal ganglia area TMB load were significantly, negatively correlated with the subcortical NAWM FA values (partial r=-0.37 and -0.36; p=0.006 and 0.025, respectively). The presence of any NHL, or TMBs located in the basal ganglia area indicates diffuse NAWM damage even after adjusting for clinical and CT parameters. To estimate DAI, a conventional lesional MRI pathology evaluation might at least in part substitute the use of quantitative DTI, which is yet not widely feasible in a clinical setting.
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Affiliation(s)
- Arnold Toth
- Department of Neurosurgery, Pécs Medical School, Rét. u. 2, H-7623 Pécs, Hungary; Department of Radiology, Pécs Medical School, Ifjusag str. 13, H-7624 Pécs, Hungary.
| | - Balint Kornyei
- Department of Neurosurgery, Pécs Medical School, Rét. u. 2, H-7623 Pécs, Hungary
| | - Noemi Kovacs
- Department of Neurosurgery, Pécs Medical School, Rét. u. 2, H-7623 Pécs, Hungary
| | - Tamas Rostas
- Department of Radiology, Pécs Medical School, Ifjusag str. 13, H-7624 Pécs, Hungary
| | - Andras Buki
- Department of Neurosurgery, Pécs Medical School, Rét. u. 2, H-7623 Pécs, Hungary; MTA-PTE Clinical Neuroscience MR Research Group, Hungary
| | - Tamas Doczi
- Department of Neurosurgery, Pécs Medical School, Rét. u. 2, H-7623 Pécs, Hungary; Diagnostic Center of Pécs, Rét. u. 2, H-7623 Pécs, Hungary; MTA-PTE Clinical Neuroscience MR Research Group, Hungary
| | - Peter Bogner
- Department of Neurosurgery, Pécs Medical School, Rét. u. 2, H-7623 Pécs, Hungary; Department of Radiology, Pécs Medical School, Ifjusag str. 13, H-7624 Pécs, Hungary
| | - Attila Schwarcz
- Department of Neurosurgery, Pécs Medical School, Rét. u. 2, H-7623 Pécs, Hungary; MTA-PTE Clinical Neuroscience MR Research Group, Hungary
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Ljungqvist J, Nilsson D, Ljungberg M, Esbjörnsson E, Eriksson-Ritzén C, Skoglund T. Longitudinal changes in diffusion tensor imaging parameters of the corpus callosum between 6 and 12 months after diffuse axonal injury. Brain Inj 2017; 31:344-350. [PMID: 28128655 DOI: 10.1080/02699052.2016.1256500] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND Magnetic resonance diffusion tensor imaging (MR-DTI) is used increasingly to detect diffuse axonal injury (DAI) after traumatic brain injury (TBI). PRIMARY OBJECTIVE To investigate changes in the diffusion tensor imaging parameters of the corpus callosum 6 and 12 months after TBI, to optimize the timing of follow-up DTI investigations. A secondary goal was to study the relationship between DTI parameters and outcome. RESEARCH DESIGN Longitudinal prospective study. METHODS AND PROCEDURES MR-DTI was performed in 15 patients with suspected DAI, 6 and 12 months post-injury. Sixteen controls were also examined. Fractional anisotropy (FA) and diffusivity (trace) in the corpus callosum were analysed. The outcome measures were the extended Glasgow Outcome Scale and the Barrow Neurological Institute Screen for Higher Cerebral Functions, assessed at 6 and 12 months. MAIN OUTCOMES AND RESULTS FA decreased and trace increased at 6 and 12 months compared to controls. Trace continued to increase even further between 6 and 12 months, while FA remained unchanged. Patients with the worst outcomes had lower FA and higher trace compared to patients with better outcomes. CONCLUSIONS DTI parameters have not reached a stable level at 6 months after DAI, but continue to change, probably reflecting an incessant microstructural alteration of the white matter.
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Affiliation(s)
| | | | | | - Eva Esbjörnsson
- c Department of Clinical Neuroscience and Rehabilitation , Sahlgrenska University Hospital , Goteborg , Sweden
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Singh R, Turner RC, Nguyen L, Motwani K, Swatek M, Lucke-Wold BP. Pediatric Traumatic Brain Injury and Autism: Elucidating Shared Mechanisms. Behav Neurol 2016; 2016:8781725. [PMID: 28074078 PMCID: PMC5198096 DOI: 10.1155/2016/8781725] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2016] [Accepted: 11/23/2016] [Indexed: 02/08/2023] Open
Abstract
Pediatric traumatic brain injury (TBI) and autism spectrum disorder (ASD) are two serious conditions that affect youth. Recent data, both preclinical and clinical, show that pediatric TBI and ASD share not only similar symptoms but also some of the same biologic mechanisms that cause these symptoms. Prominent symptoms for both disorders include gastrointestinal problems, learning difficulties, seizures, and sensory processing disruption. In this review, we highlight some of these shared mechanisms in order to discuss potential treatment options that might be applied for each condition. We discuss potential therapeutic and pharmacologic options as well as potential novel drug targets. Furthermore, we highlight advances in understanding of brain circuitry that is being propelled by improved imaging modalities. Going forward, advanced imaging will help in diagnosis and treatment planning strategies for pediatric patients. Lessons from each field can be applied to design better and more rigorous trials that can be used to improve guidelines for pediatric patients suffering from TBI or ASD.
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Affiliation(s)
- Rahul Singh
- Department of Neurosurgery, West Virginia University School of Medicine, Morgantown, WV 26505, USA
| | - Ryan C. Turner
- Department of Neurosurgery, West Virginia University School of Medicine, Morgantown, WV 26505, USA
| | - Linda Nguyen
- Department of Basic Pharmaceutical Sciences, West Virginia University School of Medicine, Morgantown, WV 26505, USA
| | - Kartik Motwani
- Department of Medical Sciences, University of Florida School of Medicine, Gainesville, FL 32611, USA
| | - Michelle Swatek
- Department of Psychology, North Carolina State University, Raleigh, NC 27695, USA
| | - Brandon P. Lucke-Wold
- Department of Neurosurgery, West Virginia University School of Medicine, Morgantown, WV 26505, USA
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