1
|
Jacquens A, Csaba Z, Soleimanzad H, Bokobza C, Delmotte PR, Userovici C, Boussemart P, Chhor V, Bouvier D, van de Looij Y, Faivre V, Diao S, Lemoine S, Blugeon C, Schwendimann L, Young-Ten P, Naffaa V, Laprevote O, Tanter M, Dournaud P, Van Steenwinckel J, Degos V, Gressens P. Deleterious effect of sustained neuroinflammation in pediatric traumatic brain injury. Brain Behav Immun 2024; 120:99-116. [PMID: 38705494 DOI: 10.1016/j.bbi.2024.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/15/2024] [Accepted: 04/22/2024] [Indexed: 05/07/2024] Open
Abstract
INTRODUCTION Despite improved management of traumatic brain injury (TBI), it still leads to lifelong sequelae and disability, particularly in children. Chronic neuroinflammation (the so-called tertiary phase), in particular, microglia/macrophage and astrocyte reactivity, is among the main mechanisms suspected of playing a role in the generation of lesions associated with TBI. The role of acute neuroinflammation is now well understood, but its persistent effect and impact on the brain, particularly during development, are not. Here, we investigated the long-term effects of pediatric TBI on the brain in a mouse model. METHODS Pediatric TBI was induced in mice on postnatal day (P) 7 by weight-drop trauma. The time course of neuroinflammation and myelination was examined in the TBI mice. They were also assessed by magnetic resonance, functional ultrasound, and behavioral tests at P45. RESULTS TBI induced robust neuroinflammation, characterized by acute microglia/macrophage and astrocyte reactivity. The long-term consequences of pediatric TBI studied on P45 involved localized scarring astrogliosis, persistent microgliosis associated with a specific transcriptomic signature, and a long-lasting myelination defect consisting of the loss of myelinated axons, a decreased level of myelin binding protein, and severe thinning of the corpus callosum. These results were confirmed by reduced fractional anisotropy, measured by diffusion tensor imaging, and altered inter- and intra-hemispheric connectivity, measured by functional ultrasound imaging. In addition, adolescent mice with pediatric TBI showed persistent social interaction deficits and signs of anxiety and depressive behaviors. CONCLUSIONS We show that pediatric TBI induces tertiary neuroinflammatory processes associated with white matter lesions and altered behavior. These results support our model as a model for preclinical studies for tertiary lesions following TBI.
Collapse
Affiliation(s)
- Alice Jacquens
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France; Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013 Paris, France.
| | - Zsolt Csaba
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Haleh Soleimanzad
- Physics for Medicine Paris, Inserm, ESPCI Paris, PSL Research University, CNRS, 75005 Paris, France
| | - Cindy Bokobza
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | | | | | | | - Vibol Chhor
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Damien Bouvier
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Yohan van de Looij
- Université de Genève, Service Développement et Croissance, Département de Pédiatrie, Faculté de Médecine, 1211 Genève, Suisse; Centre d'Imagerie Biomédicale, Section Technologie d'Imagerie Animale, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Suisse
| | - Valérie Faivre
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Siaho Diao
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Sophie Lemoine
- Genomics Core Facility, Département de Biologie, École Normale Supérieure, Institut de Biologie de l'ENS (IBENS), CNRS, INSERM, Université PSL, Paris, France
| | - Corinne Blugeon
- Genomics Core Facility, Département de Biologie, École Normale Supérieure, Institut de Biologie de l'ENS (IBENS), CNRS, INSERM, Université PSL, Paris, France
| | | | | | - Vanessa Naffaa
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Olivier Laprevote
- Université de Paris, CNRS, CiTCoM, 75006 Paris, France; Hôpital Européen Georges Pompidou, AP-HP, Service de Biochimie, 75015 Paris, France
| | - Mickael Tanter
- Physics for Medicine Paris, Inserm, ESPCI Paris, PSL Research University, CNRS, 75005 Paris, France
| | - Pascal Dournaud
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | | | - Vincent Degos
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France; Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013 Paris, France
| | - Pierre Gressens
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| |
Collapse
|
2
|
Uparela-Reyes MJ, Villegas-Trujillo LM, Cespedes J, Velásquez-Vera M, Rubiano AM. Usefulness of Artificial Intelligence in Traumatic Brain Injury: A Bibliometric Analysis and Mini-review. World Neurosurg 2024; 188:83-92. [PMID: 38759786 DOI: 10.1016/j.wneu.2024.05.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 05/10/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND Traumatic brain injury (TBI) has become a major source of disability worldwide, increasing the interest in algorithms that use artificial intelligence (AI) to optimize the interpretation of imaging studies, prognosis estimation, and critical care issues. In this study we present a bibliometric analysis and mini-review on the main uses that have been developed for TBI in AI. METHODS The results informing this review come from a Scopus database search as of April 15, 2023. The bibliometric analysis was carried out via the mapping bibliographic metrics method. Knowledge mapping was made in the VOSviewer software (V1.6.18), analyzing the "link strength" of networks based on co-occurrence of key words, countries co-authorship, and co-cited authors. In the mini-review section, we highlight the main findings and contributions of the studies. RESULTS A total of 495 scientific publications were identified from 2000 to 2023, with 9262 citations published since 2013. Among the 160 journals identified, The Journal of Neurotrauma, Frontiers in Neurology, and PLOS ONE were those with the greatest number of publications. The most frequently co-occurring key words were: "machine learning", "deep learning", "magnetic resonance imaging", and "intracranial pressure". The United States accounted for more collaborations than any other country, followed by United Kingdom and China. Four co-citation author clusters were found, and the top 20 papers were divided into reviews and original articles. CONCLUSIONS AI has become a relevant research field in TBI during the last 20 years, demonstrating great potential in imaging, but a more modest performance for prognostic estimation and neuromonitoring.
Collapse
Affiliation(s)
- Maria José Uparela-Reyes
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia; Neurosurgery Section, Hospital Universitario del Valle, Cali, Colombia.
| | - Lina María Villegas-Trujillo
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia; School of Biomedical Sciences, Universidad del Valle, Cali, Colombia
| | - Jorge Cespedes
- Comprehensive Epilepsy Center, Yale University, New Haven, Connecticut, USA
| | - Miguel Velásquez-Vera
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia; Neurosurgery Section, Hospital Universitario del Valle, Cali, Colombia
| | - Andrés M Rubiano
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia; Neurosurgery Section, Hospital Universitario del Valle, Cali, Colombia; INUB-Meditech Research Group, Neurosciences Institute, Universidad El Bosque, Bogotá, Colombia
| |
Collapse
|
3
|
Mavroudis I, Petridis F, Petroaie AD, Ciobica A, Kamal FZ, Honceriu C, Iordache A, Ionescu C, Novac B, Novac O. Exploring Symptom Overlaps: Post-COVID-19 Neurological Syndrome and Post-Concussion Syndrome in Athletes. Biomedicines 2024; 12:1587. [PMID: 39062160 DOI: 10.3390/biomedicines12071587] [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: 06/05/2024] [Revised: 07/06/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
The COVID-19 pandemic has introduced new challenges in managing neurological conditions, particularly among athletes. This paper explores the intersection of post-COVID-19 neurological syndrome (PCNS/PASC) and post-concussion syndrome (PCS), focusing on their implications in sports medicine. Our analysis covers the symptomatology, pathophysiology, and management strategies for PCNS/PASC and PPCS, with special attention paid to the unique challenges faced by athletes recovering from these conditions, including the risk of symptom exacerbation and prolonged recovery. Key findings reveal that both PCNS/PASC and PPCS present with overlapping symptoms such as cognitive difficulties, exercise intolerance, and mental health issues, but differ in specific manifestations like anosmia and ageusia, unique to COVID-19. Pathophysiological analysis reveals similarities in blood-brain barrier disruption (BBB) but differences in the extent of immune activation. Management strategies emphasize a gradual increase in physical activity, close symptom monitoring, and psychological support, with a tailored approach for athletes. Specific interventions include progressive aerobic exercises, resistance training, and cognitive rehabilitation. Furthermore, our study highlights the importance of integrating neurology, psychiatry, physical therapy, and sports medicine to develop comprehensive care strategies. Our findings underscore the dual challenge of COVID-19 and concussion in athletes, necessitating a nuanced, interdisciplinary approach to effective management. Future research should focus on the long-term neurological effects of both conditions and optimizing treatment protocols to improve patient outcomes. This comprehensive understanding is crucial for advancing the management of athletes affected by these overlapping conditions and ensuring their safe return to sports.
Collapse
Affiliation(s)
- Ioannis Mavroudis
- Department of Neuroscience, Leeds Teaching Hospitals NHS Trust, Leeds LS2 9JT, UK
- Faculty of Medicine, Leeds University, Leeds LS2 9JT, UK
| | - Foivos Petridis
- Third Department of Neurology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
| | - Antoneta Dacia Petroaie
- Faculty of Medicine, University of Medicine and Pharmacy "Grigore T. Popa", University Street No. 16, 700115 Iasi, Romania
| | - Alin Ciobica
- Department of Biology, Faculty of Biology, Alexandru Ioan Cuza University of Iasi, Bd. Carol I no. 20A, 700505 Iasi, Romania
- Centre of Biomedical Research, Romanian Academy, Bd. Carol I, no. 8, 700506 Iasi, Romania
- Academy of Romanian Scientists, Str. Splaiul Independentei no. 54, Sector 5, 050094 Bucharest, Romania
- "Ioan Haulica" Institute, Apollonia University, Pãcurari Street 11, 700511 Iasi, Romania
| | - Fatima Zahra Kamal
- Higher Institute of Nursing Professions and Health Techniques, Marrakesh 40000, Morocco
- Laboratory of Physical Chemistry of Processes and Materials, Faculty of Sciences and Techniques, Hassan First University, B.P. 539, Settat 26000, Morocco
| | - Cezar Honceriu
- Faculty of Physical Education, Alexandru Ioan Cuza University of Iasi, Bd. Carol I no. 20A, 700505 Iasi, Romania
| | - Alin Iordache
- Faculty of Medicine, University of Medicine and Pharmacy "Grigore T. Popa", University Street No. 16, 700115 Iasi, Romania
| | - Cătălina Ionescu
- Department of Biology, Faculty of Biology, Alexandru Ioan Cuza University of Iasi, Bd. Carol I no. 20A, 700505 Iasi, Romania
- Clinical Department, Apollonia University, Păcurari Street 11, 700511 Iasi, Romania
| | - Bogdan Novac
- Faculty of Medicine, University of Medicine and Pharmacy "Grigore T. Popa", University Street No. 16, 700115 Iasi, Romania
| | - Otilia Novac
- Faculty of Medicine, University of Medicine and Pharmacy "Grigore T. Popa", University Street No. 16, 700115 Iasi, Romania
| |
Collapse
|
4
|
Kim HM, Jo HS, Kim EJ, Na JM, Park HK, Han JY, Kim KH, Choi I, Song MK. The Effect of Repetitive Transcranial Magnetic Stimulation on Cognition in Diffuse Axonal Injury in a Rat Model. Neurol Int 2024; 16:689-700. [PMID: 39051213 DOI: 10.3390/neurolint16040052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/14/2024] [Accepted: 06/17/2024] [Indexed: 07/27/2024] Open
Abstract
Diffuse axonal injury (DAI) following sudden acceleration and deceleration can lead to cognitive function decline. Various treatments have been proposed. Repetitive transcranial magnetic stimulation (rTMS), a non-invasive stimulation technique, is a potential treatment for enhancing neuroplasticity in cases of brain injury. The therapeutic efficacy of rTMS on cognitive function remains unconfirmed. This study investigated the effects of rTMS and the underlying molecular biomechanisms using a rat model of DAI. Sprague-Dawley rats (n = 18) were randomly divided into two groups: one receiving rTMS after DAI and the other without brain stimulation. All rats were subjected to sudden acceleration and deceleration using a DAI modeling machine to induce damage. MRI was performed to confirm the DAI lesion. The experimental group received rTMS at a frequency of 1 Hz over the frontal cortex for 10 min daily for five days. To assess spatial memory, we conducted the Morris water maze (MWM) test one day post-brain damage and one day after the five-day intervention. A video tracking system recorded the escape latency. After post-MWM tests, all rats were euthanized, and their brain tissues, particularly from the hippocampus, were collected for immunohistochemistry and western blot analyses. The escape latency showed no difference on the MWM test after DAI, but a significant difference was observed after rTMS between the two groups. Immunohistochemistry and western blot analyses indicated increased expression of BDNF, VEGF, and MAP2 in the hippocampal brain tissue of the DAI-T group. In conclusion, rTMS improved cognitive function in the DAI rat model. The increased expression of BDNF, VEGF, and MAP2 in the DAI-T group supports the potential use of rTMS in treating cognitive impairments associated with DAI.
Collapse
Affiliation(s)
- Hyeong-Min Kim
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Hyun-Seok Jo
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Eun-Jong Kim
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Ji-Min Na
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Hyeng-Kyu Park
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Jae-Young Han
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Ki-Hong Kim
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Insung Choi
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| | - Min-Keun Song
- Department of Physical & Rehabilitation Medicine, Chonnam National University Medical School & Hospital, Gwangju 61469, Republic of Korea
| |
Collapse
|
5
|
Koziarz A, Koziarz F, Shen R, Gopee-Ramanan P, Black SE, Worsley D, Chan IYM, Streiner DL, Zukotynski KA. Diagnostic Accuracy of SPECT for Mild Traumatic Brain Injury: A Systematic Review and Meta-analysis. Clin Nucl Med 2024:00003072-990000000-01188. [PMID: 38914012 DOI: 10.1097/rlu.0000000000005328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
PURPOSE This study examines the diagnostic accuracy of brain perfusion SPECT for mild traumatic brain injury (mTBI). PATIENTS AND METHODS A systematic review and meta-analysis was performed according to PRISMA guidelines (PROSPERO: CRD42023484636). Five databases were searched for studies evaluating brain perfusion SPECT in adult patients with mTBI (GCS 13-15). Study quality was assessed using a modified QUADAS-2 tool. A meta-analysis was performed to pool proportions of hypoperfusion abnormalities across brain lobes. RESULTS Of 4735 records, 22 studies (5 longitudinal [40% high quality], 17 cross-sectional [24% high quality]) were included totaling 800 patients (mean age, 37.4 ± 12.6 years; 36.4% female). Meta-analysis of proportions indicated that the frontal lobe most frequently showed hypoperfusion on brain perfusion SPECT (pooled proportion 40.1% [95% confidence interval, 31.2% to 49.8%], 99/254, I2 = 54.5%), followed by the temporal lobe (26.1% [95% confidence interval, 19.9% to 33.6%], 68/254, I2 = 30.7%). Several studies found that hypoperfusion abnormalities were associated with neuropsychological findings. Also, brain perfusion SPECT could detect abnormalities not seen on MRI. Abnormalities in perfusion on brain perfusion SPECT may be more readily detected with a quantitative assessment compared with a visual assessment alone, although there appears to be no consensus on the optimal method for image interpretation. Evidence evaluating the sensitivity and specificity of brain perfusion SPECT for mTBI was limited. Using the GRADE framework, the evidence was rated as low. CONCLUSIONS Although perfusion abnormalities can be seen in patients with mTBI, commonly in the frontal and temporal lobes, the findings are nonspecific and may derive from various factors. Ultimately, brain perfusion SPECT provides additional information for mTBI, but the final added value for the detection of mTBI is unknown.
Collapse
Affiliation(s)
- Alex Koziarz
- From the Department of Medical Imaging, McMaster University, Hamilton, Ontario, Canada
| | - Frank Koziarz
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Rui Shen
- Center for Bioethics, Harvard Medical School, Boston, MA
| | | | | | - Daniel Worsley
- Department of Nuclear Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Ian Y M Chan
- Department of Diagnostic Imaging, Trillium Health Partners, Mississauga, Ontario, Canada
| | | | | |
Collapse
|
6
|
Wang J, Huang J, Cui B, Yang H, Tian D, Ma J, Duan W, Dong H, Chen Z, Lu J. Diffusion Tensor Imaging Identifies Cervical Spondylosis, Myelitis, and Spinal Cord Tumors. Diagnostics (Basel) 2024; 14:1225. [PMID: 38928642 PMCID: PMC11202471 DOI: 10.3390/diagnostics14121225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/30/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Diffusion tensor imaging (DTI) has been increasingly recognized for its capability to study microstructural changes in the neuropathology of brain diseases. However, the optimal DTI metric and its diagnostic utility for a variety of spinal cord diseases are still under investigation. PURPOSE To evaluate the diagnostic efficacy of DTI metrics for differentiating between cervical spondylosis, myelitis, and spinal tumors. METHODS This retrospective study analyzed DTI scans from 68 patients (22 with cervical spondylosis, 23 with myelitis, and 23 with spinal tumors). DTI indicators, including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD), were calculated. The Kruskal-Wallis test was used to compare these indicators, followed by Receiver Operating Characteristic (ROC) curve analysis, to evaluate the diagnostic efficacy of each indicator across disease pairs. Additionally, we explored the correlations of DTI indicators with specific clinical measurements. RESULTS FA values were significantly lower in tumor patients compared to those with cervical spondylosis (p < 0.0001) and myelitis (p < 0.05). Additionally, tumor patients exhibited significantly elevated MD and RD values relative to the spondylosis and myelitis groups. ROC curve analysis underscored FA's superior discriminative performance, with an area under the curve (AUC) of 0.902 for differentiating tumors from cervical spondylosis, and an AUC of 0.748 for distinguishing cervical myelitis from spondylosis. Furthermore, a significant negative correlation was observed between FA values and Expanded Disability Status Scores (EDSSs) in myelitis patients (r = -0.62, p = 0.002), as well as between FA values and Ki-67 scores in tumor patients (r = -0.71, p = 0.0002). CONCLUSION DTI indicators, especially FA, have the potential in distinguishing spondylosis, myelitis, and spinal cord tumors. The significant correlation between FA values and clinical indicators highlights the value of FA in the clinical assessment and prognosis of spinal diseases and may be applied in diagnostic protocols in the future.
Collapse
Affiliation(s)
- Jiyuan Wang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (J.W.); (J.H.); (B.C.); (H.Y.); (D.T.); (J.M.)
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing 100053, China
| | - Jing Huang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (J.W.); (J.H.); (B.C.); (H.Y.); (D.T.); (J.M.)
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing 100053, China
| | - Bixiao Cui
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (J.W.); (J.H.); (B.C.); (H.Y.); (D.T.); (J.M.)
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing 100053, China
| | - Hongwei Yang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (J.W.); (J.H.); (B.C.); (H.Y.); (D.T.); (J.M.)
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing 100053, China
| | - Defeng Tian
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (J.W.); (J.H.); (B.C.); (H.Y.); (D.T.); (J.M.)
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing 100053, China
| | - Jie Ma
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (J.W.); (J.H.); (B.C.); (H.Y.); (D.T.); (J.M.)
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing 100053, China
| | - Wanru Duan
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (W.D.); (Z.C.)
| | - Huiqing Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China;
| | - Zan Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (W.D.); (Z.C.)
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (J.W.); (J.H.); (B.C.); (H.Y.); (D.T.); (J.M.)
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing 100053, China
| |
Collapse
|
7
|
Chung S, Bacon T, Rath JF, Alivar A, Coelho S, Amorapanth P, Fieremans E, Novikov DS, Flanagan SR, Bacon JH, Lui YW. Callosal Interhemispheric Communication in Mild Traumatic Brain Injury: A Mediation Analysis on WM Microstructure Effects. AJNR Am J Neuroradiol 2024; 45:788-794. [PMID: 38637026 DOI: 10.3174/ajnr.a8213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 01/27/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND AND PURPOSE Because the corpus callosum connects the left and right hemispheres and a variety of WM bundles across the brain in complex ways, damage to the neighboring WM microstructure may specifically disrupt interhemispheric communication through the corpus callosum following mild traumatic brain injury. Here we use a mediation framework to investigate how callosal interhemispheric communication is affected by WM microstructure in mild traumatic brain injury. MATERIALS AND METHODS Multishell diffusion MR imaging was performed on 23 patients with mild traumatic brain injury within 1 month of injury and 17 healthy controls, deriving 11 diffusion metrics, including DTI, diffusional kurtosis imaging, and compartment-specific standard model parameters. Interhemispheric processing speed was assessed using the interhemispheric speed of processing task (IHSPT) by measuring the latency between word presentation to the 2 hemivisual fields and oral word articulation. Mediation analysis was performed to assess the indirect effect of neighboring WM microstructures on the relationship between the corpus callosum and IHSPT performance. In addition, we conducted a univariate correlation analysis to investigate the direct association between callosal microstructures and IHSPT performance as well as a multivariate regression analysis to jointly evaluate both callosal and neighboring WM microstructures in association with IHSPT scores for each group. RESULTS Several significant mediators in the relationships between callosal microstructure and IHSPT performance were found in healthy controls. However, patients with mild traumatic brain injury appeared to lose such normal associations when microstructural changes occurred compared with healthy controls. CONCLUSIONS This study investigates the effects of neighboring WM microstructure on callosal interhemispheric communication in healthy controls and patients with mild traumatic brain injury, highlighting that neighboring noncallosal WM microstructures are involved in callosal interhemispheric communication and information transfer. Further longitudinal studies may provide insight into the temporal dynamics of interhemispheric recovery following mild traumatic brain injury.
Collapse
Affiliation(s)
- Sohae Chung
- From the Department of Radiology (S. Chung, A.A., S. Coelho, E.F., D.S.N., Y.W.L.), Center for Advanced Imaging Innovation and Research, NY University Grossman School of Medicine, New York, New York
- Department of Radiology (S. Chung, A.A., S. Coehlo, E.F., D.S.N., Y.W.L.), Bernard and Irene Schwartz Center for Biomedical Imaging, NY University Grossman School of Medicine, New York, New York
| | - Tamar Bacon
- Department of Neurology (T.B., J.H.B.), NY University Grossman School of Medicine, New York, New York
| | - Joseph F Rath
- Department of Rehabilitation Medicine (J.F.R., P.A., S.R.F.), New York University Grossman School of Medicine, New York, New York
| | - Alaleh Alivar
- From the Department of Radiology (S. Chung, A.A., S. Coelho, E.F., D.S.N., Y.W.L.), Center for Advanced Imaging Innovation and Research, NY University Grossman School of Medicine, New York, New York
- Department of Radiology (S. Chung, A.A., S. Coehlo, E.F., D.S.N., Y.W.L.), Bernard and Irene Schwartz Center for Biomedical Imaging, NY University Grossman School of Medicine, New York, New York
| | - Santiago Coelho
- From the Department of Radiology (S. Chung, A.A., S. Coelho, E.F., D.S.N., Y.W.L.), Center for Advanced Imaging Innovation and Research, NY University Grossman School of Medicine, New York, New York
- Department of Radiology (S. Chung, A.A., S. Coehlo, E.F., D.S.N., Y.W.L.), Bernard and Irene Schwartz Center for Biomedical Imaging, NY University Grossman School of Medicine, New York, New York
| | - Prin Amorapanth
- Department of Rehabilitation Medicine (J.F.R., P.A., S.R.F.), New York University Grossman School of Medicine, New York, New York
| | - Els Fieremans
- From the Department of Radiology (S. Chung, A.A., S. Coelho, E.F., D.S.N., Y.W.L.), Center for Advanced Imaging Innovation and Research, NY University Grossman School of Medicine, New York, New York
- Department of Radiology (S. Chung, A.A., S. Coehlo, E.F., D.S.N., Y.W.L.), Bernard and Irene Schwartz Center for Biomedical Imaging, NY University Grossman School of Medicine, New York, New York
| | - Dmitry S Novikov
- From the Department of Radiology (S. Chung, A.A., S. Coelho, E.F., D.S.N., Y.W.L.), Center for Advanced Imaging Innovation and Research, NY University Grossman School of Medicine, New York, New York
- Department of Radiology (S. Chung, A.A., S. Coehlo, E.F., D.S.N., Y.W.L.), Bernard and Irene Schwartz Center for Biomedical Imaging, NY University Grossman School of Medicine, New York, New York
| | - Steven R Flanagan
- Department of Rehabilitation Medicine (J.F.R., P.A., S.R.F.), New York University Grossman School of Medicine, New York, New York
| | - Joshua H Bacon
- Department of Neurology (T.B., J.H.B.), NY University Grossman School of Medicine, New York, New York
| | - Yvonne W Lui
- From the Department of Radiology (S. Chung, A.A., S. Coelho, E.F., D.S.N., Y.W.L.), Center for Advanced Imaging Innovation and Research, NY University Grossman School of Medicine, New York, New York
- Department of Radiology (S. Chung, A.A., S. Coehlo, E.F., D.S.N., Y.W.L.), Bernard and Irene Schwartz Center for Biomedical Imaging, NY University Grossman School of Medicine, New York, New York
| |
Collapse
|
8
|
Tator CH, Moore C, Buso C, Huszti E, Li Q, Prentice EB, Khodadadi M, Scott O, Tartaglia CM. Cause of Concussion With Persisting Symptoms Is Associated With Long-Term Recovery and Symptom Type, Duration, and Number in a Longitudinal Cohort of 600 Patients. J Neurotrauma 2024; 41:1384-1398. [PMID: 38468550 DOI: 10.1089/neu.2023.0263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2024] Open
Abstract
It is important for patients and clinicians to know the potential for recovery from concussion as soon as possible after injury, especially in patients who do not recover completely in the first month and have concussion with persisting concussion symptoms (C+PCS). We assessed the association between the causes of concussion and recovery from C+PCS in a consecutive retrospective and prospective cohort of 600 patients referred to the Canadian Concussion Center (CCC) at Toronto Western Hospital. Data were obtained from clinical records and follow-up questionnaires and not from a standardized database. A novel method was used to assess long-term recovery, and multi-variable Cox proportional hazards models were used to assess relationships between cause of concussion and time to recovery. We examined the subsequent recovery of patients who had not recovered after at least one month from the time of concussion. Patients were grouped into the following four causes: sports and recreation (S&R, n = 312, 52%); motor vehicle collisions (MVC, n = 103, 17%); falls (n = 100, 17%); and being struck by an object including violence (SBOV, n = 85, 14%). The MVC group had the highest percentage of females (75.7%), the oldest participants (median: 40.0 [interquartile range (IQR):30.5-49.0] years), the most symptoms (median:11.0 [IQR:8.5-15.0]), and the longest symptom duration (median: 28.0 [IQR:12.0-56.00] months). In contrast, the S&R group had the highest percentage of males (58.1%), the youngest participants (median:20.0 [IQR:17.0-30.0] years), the best recovery outcome, and shortest symptom duration (median:22.0 [IQR:8.0-49.5] months). Significant differences among the four causes included age (p < 0.001), sex (p < 0.001), number of previous concussions (p < 0.001), history of psychiatric disorders (p = 0.002), and migraine (p = 0.001). Recovery from concussion was categorized into three groups: (1) Complete Recovery occurred in only 60 (10%) patients with median time 8.0 (IQR:3.5-18.0) months and included 42 S&R, 7 MVC, 8 falls, and 3 SBOV; (2) Incomplete Recovery occurred in 408 (68.0%) patients with persisting median symptom time of 5.0 (IQR:2.0-12.0) months; and (3) Unknown Recovery occurred in 132 (22.0%) patients and was because of lack of follow-up. In summary, the cause of C+PCS was associated with the type, number, and duration of symptoms and time required for recovery, although all causes of C+PCS produced prolonged symptoms in a large percentage of patients, which emphasizes the importance of concussions as a public health concern necessitating improved prevention and treatment strategies.
Collapse
Affiliation(s)
- Charles H Tator
- Canadian Concussion Centre, Division of Neurosurgery, Toronto Western Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Connor Moore
- Canadian Concussion Centre, Toronto Western Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Chloé Buso
- Canadian Concussion Centre, Toronto Western Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Ella Huszti
- Biostatistics Research Unit, University Health Network, Toronto, Ontario, Canada
| | - Qixuan Li
- Biostatistics Research Unit, University Health Network, Toronto, Ontario, Canada
| | - Emma B Prentice
- Canadian Concussion Centre, Toronto Western Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Mohzgan Khodadadi
- Canadian Concussion Centre, Toronto Western Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Olivia Scott
- Canadian Concussion Centre, Toronto Western Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Carmela M Tartaglia
- Canadian Concussion Centre, Division of Neurology, Toronto Western Hospital and University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
9
|
Mund FK, Feddermann-Demont N, Welsch G, Schuenemann C, Fiehler J, Junge A, Reinsberger C. Heading during the season and its potential impact on brain structure and neurocognitive performance in high-level male football players: An observational study. J Sci Med Sport 2024:S1440-2440(24)00202-0. [PMID: 38965004 DOI: 10.1016/j.jsams.2024.05.012] [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: 02/15/2024] [Revised: 04/26/2024] [Accepted: 05/20/2024] [Indexed: 07/06/2024]
Abstract
OBJECTIVES To investigate potential effects of heading on the neurocognitive performance and the white matter (WM) of the brain in high-level adult male football players. DESIGN Prospective longitudinal. METHODS Football players engaging in the highest football leagues in Germany were included. Neurocognitive performance tests and diffusion tensor imaging (DTI) were executed before and after the observation period. Video recordings of each training session and each match play during the observation period were analyzed regarding heading exposure and characteristics. Four DTI measures from tract-based spatial statistics (fractional anisotropy, mean, axial, and radial diffusivity) were investigated. Associations between heading variables and DTI and neurocognitive parameters were tested subsequently. RESULTS 8052 headers of 22 players (19.9 ± 2.7 years) were documented in a median of 16.9 months. The individual total heading number ranged from 57 to 943 (median: 320.5). Header characteristics differed between training sessions and matches. Neurocognitive performance (n = 22) and DTI measures (n = 14) showed no significant differences from pre- to post-test. After correction for multiple comparisons, no significant correlations with the total heading number were found. However, the change in fractional anisotropy in the splenium of the corpus callosum correlated significantly with the total amount of long-distance headers (Pearson's r = -0.884; p < 0.0001). CONCLUSIONS Over the median observation period of 16.9 months, DTI measures and neurocognitive performance remained unchanged. To elucidate the meaning of the association between individual change in fractional anisotropy and long-distance headers further investigations with larger samples, longer observations, and various cohorts regarding age and level of play are required.
Collapse
Affiliation(s)
- Franziska K Mund
- Institute of Sports Medicine, Department of Exercise and Health, Paderborn University, Germany
| | - Nina Feddermann-Demont
- Department of Neurology, University and University Hospital Zurich, Switzerland; BrainCare, Switzerland
| | - Götz Welsch
- Hamburger Sport-Verein, Germany; UKE Athleticum and Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Germany
| | | | - Jens Fiehler
- Center for Radiology and Endoscopy, University Medical Center Hamburg-Eppendorf, Germany
| | - Astrid Junge
- Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Germany
| | - Claus Reinsberger
- Institute of Sports Medicine, Department of Exercise and Health, Paderborn University, Germany; Division of Sports Neurology & Neurosciences, Department of Neurology, Mass General Brigham, Boston, MA, USA.
| |
Collapse
|
10
|
Glikstein R, Melkus G, Portela de Oliveira E, Brun-Vergara ML, Schwarz BA, Ramsay T, Zhang T, Skinner C. Five-Year Serial Brain MRI Analysis of Military Members Exposed to Chronic Sub-Concussive Overpressures. J Magn Reson Imaging 2024. [PMID: 38760963 DOI: 10.1002/jmri.29419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 05/20/2024] Open
Abstract
BACKGROUND The Canadian Special Operations Forces Command conducts explosives operations and training which exposes members to explosive charges at close proximity. This 5-year longitudinal trial was conducted in follow-up to our initial trial which examined military breachers with MRI and EEG pre and post blast exposure. PURPOSE To examine brain MRI findings in military personnel exposed to multiple repeated blast exposures. STUDY TYPE Five-year longitudinal prospective trial. POPULATION Ninety-two males aged 23-42 with an average of 9.4 years of blast exposure. FIELD STRENGTH/SEQUENCE 3 T brain MRI/T1-weighted 3D with reconstruction in three planes, T2-weighted, T2-weighted fluid attenuated inversion recovery (FLAIR) 3D with reconstruction in three planes, T2-weighted gradient spin echo (GRE), saturation weighted images, DWI and ADC maps, diffusion tensor imaging. ASSESSMENT All MRI scans were interpreted by the two neuroradiologists and one neuroradiology Fellow in a blinded fashion using a customized neuroradiology reporting form. STATISTICAL TESTS Matching parametric statistics represented the number of participants whose brain parameters improved or deteriorated over time. Odds ratio (OR) and 95% confidence intervals (CI) were computed using log regression modeling to determine volume loss, white matter lesions, hemosiderosis, gliosis, cystic changes and enlarged Virchow Robin (VR) spaces. A Kappa (κ) statistic with a 95% CI was calculated to determine rater variability between readers. RESULTS A significant deterioration was observed in volume loss (OR = 1.083, 95% CI 0.678-1.731, permutation test), white matter changes (OR: 0.754, 95% CI 0.442-1.284, permutation test), and enlargement of VR spaces (OR: 0.775, 95% CI 0.513-1.171). Interrater reliability was low: κ = 0.283, 0.156, and 0.557 for volume loss, white matter changes, and enlargement of VR spaces, respectively. DATA CONCLUSION There were significant changes in brain volume, white matter lesions, and enlargement of VR spaces. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
| | - Gerd Melkus
- The Ottawa Hospital - Civic Campus, Ottawa, Ontario, Canada
| | | | | | | | - Tim Ramsay
- Ottawa Hospital Research Institute, Ottawa Methods Centre, Ottawa, Ontario, Canada
| | - Tinghua Zhang
- Ottawa Hospital Research Institute, Ottawa Methods Centre, Ottawa, Ontario, Canada
| | | |
Collapse
|
11
|
Visser K, de Koning ME, Ciubotariu D, Kok MGJ, Sibeijn-Kuiper AJ, Bourgonje AR, van Goor H, van der Naalt J, van der Horn HJ. An exploratory study on the association between blood-based biomarkers and subacute neurometabolic changes following mild traumatic brain injury. J Neurol 2024; 271:1985-1998. [PMID: 38157029 DOI: 10.1007/s00415-023-12146-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND AND OBJECTIVES Blood-based biomarkers and advanced neuroimaging modalities such as magnetic resonance spectroscopy (MRS) or diffusion tensor imaging (DTI) have enhanced our understanding of the pathophysiology of mild traumatic brain injury (mTBI). However, there is limited published data on how blood biomarkers relate to neuroimaging biomarkers post-mTBI. METHODS To investigate this, 30 patients with mTBI and 21 healthy controls were enrolled. Data was collected at two timepoints postinjury: acute, < 24 h, (blood) and subacute, four-to-six weeks, (blood and imaging). Interleukin (IL) 6 and 10 (inflammation), free thiols (systemic oxidative stress) and neurofilament light (NF-L) (axonal injury) were quantified in plasma. The neurometabolites total N-acetyl aspartate (tNAA) (neuronal energetics), Myo-Inositol (Ins) and total Choline (tCh) (inflammation) and, Glutathione (GSH, oxidative stress) were quantified using MRS. RESULTS Concentrations of IL-6 and IL-10 were significantly elevated in the acute phase post-mTBI, while NF-L was elevated only in the subacute phase. Total NAA was lowered in patients with mTBI, although this difference was only nominally significant (uncorrected P < 0.05). Within the patient group, acute IL-6 and subacute tNAA levels were negatively associated (r = - 0.46, uncorrected-P = 0.01), albeit not at a threshold corrected for multiple testing (corrected-P = 0.17). When age was added as a covariate a significant increase in correlation magnitude was observed (ρ = - 0.54, corrected-P = 0.03). CONCLUSION This study demonstrates potential associations between the intensity of the inflammatory response in the acute phase post-mTBI and neurometabolic perturbations in the subacute phase. Future studies should assess the longitudinal dynamics of blood-based and imaging biomarkers after injury.
Collapse
Affiliation(s)
- Koen Visser
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Myrthe E de Koning
- Department of Neurology, Medisch Spectrum Twente, Koningstraat 1, 7512 KZ, Enschede, The Netherlands
| | - Diana Ciubotariu
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Marius G J Kok
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Anita J Sibeijn-Kuiper
- Department of Neuroscience, BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Arno R Bourgonje
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Harry van Goor
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Joukje van der Naalt
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Harm Jan van der Horn
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
| |
Collapse
|
12
|
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.
Collapse
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
| |
Collapse
|
13
|
Betz AK, Cetin-Karayumak S, Bonke EM, Seitz-Holland J, Zhang F, Pieper S, O'Donnell LJ, Tripodis Y, Rathi Y, Shenton ME, Koerte IK. Executive functioning, behavior, and white matter microstructure in the chronic phase after pediatric mild traumatic brain injury: results from the adolescent brain cognitive development study. Psychol Med 2024:1-11. [PMID: 38497117 DOI: 10.1017/s0033291724000229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
BACKGROUND Mild traumatic brain injury (mTBI) is common in children. Long-term cognitive and behavioral outcomes as well as underlying structural brain alterations following pediatric mTBI have yet to be determined. In addition, the effect of age-at-injury on long-term outcomes is largely unknown. METHODS Children with a history of mTBI (n = 406; Mage = 10 years, SDage = 0.63 years) who participated in the Adolescent Brain Cognitive Development (ABCD) study were matched (1:2 ratio) with typically developing children (TDC; n = 812) and orthopedic injury (OI) controls (n = 812). Task-based executive functioning, parent-rated executive functioning and emotion-regulation, and self-reported impulsivity were assessed cross-sectionally. Regression models were used to examine the effect of mTBI on these domains. The effect of age-at-injury was assessed by comparing children with their first mTBI at either 0-3, 4-7, or 8-10 years to the respective matched TDC controls. Fractional anisotropy (FA) and mean diffusivity (MD), both MRI-based measures of white matter microstructure, were compared between children with mTBI and controls. RESULTS Children with a history of mTBI displayed higher parent-rated executive dysfunction, higher impulsivity, and poorer self-regulation compared to both control groups. At closer investigation, these differences to TDC were only present in one respective age-at-injury group. No alterations were found in task-based executive functioning or white matter microstructure. CONCLUSIONS Findings suggest that everyday executive function, impulsivity, and emotion-regulation are affected years after pediatric mTBI. Outcomes were specific to the age at which the injury occurred, suggesting that functioning is differently affected by pediatric mTBI during vulnerable periods. Groups did not differ in white matter microstructure.
Collapse
Affiliation(s)
- Anja K Betz
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Suheyla Cetin-Karayumak
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Elena M Bonke
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Lauren J O'Donnell
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Inga K Koerte
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
14
|
Tang S, Xu S, Wilder D, Medina AE, Li X, Fiskum GM, Jiang L, Kakulavarapu VR, Long JB, Gullapalli RP, Sajja VS. Longitudinal Biochemical and Behavioral Alterations in a Gyrencephalic Model of Blast-Related Mild Traumatic Brain Injury. Neurotrauma Rep 2024; 5:254-266. [PMID: 38515547 PMCID: PMC10956534 DOI: 10.1089/neur.2024.0002] [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] [Indexed: 03/23/2024] Open
Abstract
Blast-related traumatic brain injury (bTBI) is a major cause of neurological disorders in the U.S. military that can adversely impact some civilian populations as well and can lead to lifelong deficits and diminished quality of life. Among these types of injuries, the long-term sequelae are poorly understood because of variability in intensity and number of the blast exposure, as well as the range of subsequent symptoms that can overlap with those resulting from other traumatic events (e.g., post-traumatic stress disorder). Despite the valuable insights that rodent models have provided, there is a growing interest in using injury models using species with neuroanatomical features that more closely resemble the human brain. With this purpose, we established a gyrencephalic model of blast injury in ferrets, which underwent blast exposure applying conditions that closely mimic those associated with primary blast injuries to warfighters. In this study, we evaluated brain biochemical, microstructural, and behavioral profiles after blast exposure using in vivo longitudinal magnetic resonance imaging, histology, and behavioral assessments. In ferrets subjected to blast, the following alterations were found: 1) heightened impulsivity in decision making associated with pre-frontal cortex/amygdalar axis dysfunction; 2) transiently increased glutamate levels that are consistent with earlier findings during subacute stages post-TBI and may be involved in concomitant behavioral deficits; 3) abnormally high brain N-acetylaspartate levels that potentially reveal disrupted lipid synthesis and/or energy metabolism; and 4) dysfunction of pre-frontal cortex/auditory cortex signaling cascades that may reflect similar perturbations underlying secondary psychiatric disorders observed in warfighters after blast exposure.
Collapse
Affiliation(s)
- Shiyu Tang
- Department of Diagnostic Radiology and Nuclear Medicine, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Su Xu
- Department of Diagnostic Radiology and Nuclear Medicine, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Donna Wilder
- Blast Induced Neurotrauma Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Alexandre E. Medina
- Department of Pediatrics, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Xin Li
- Department of Diagnostic Radiology and Nuclear Medicine, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Gary M. Fiskum
- Department of Anesthesiology, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Shock, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Li Jiang
- Department of Diagnostic Radiology and Nuclear Medicine, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Venkata R. Kakulavarapu
- Blast Induced Neurotrauma Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Joseph B. Long
- Blast Induced Neurotrauma Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Rao P. Gullapalli
- Department of Diagnostic Radiology and Nuclear Medicine, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | | |
Collapse
|
15
|
Lima Santos JP, Kontos AP, Holland CL, Suss SJ, Stiffler RS, Bitzer HB, Colorito AT, Shaffer M, Skeba A, Iyengar S, Manelis A, Brent D, Shirtcliff EA, Ladouceur CD, Phillips ML, Collins MW, Versace A. The Role of Puberty and Sex on Brain Structure in Adolescents With Anxiety Following Concussion. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:285-297. [PMID: 36517369 DOI: 10.1016/j.bpsc.2022.09.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Adolescence represents a window of vulnerability for developing psychological symptoms following concussion, especially in girls. Concussion-related lesions in emotion regulation circuits may help explain these symptoms. However, the contribution of sex and pubertal maturation remains unclear. Using the neurite density index (NDI) in emotion regulation tracts (left/right cingulum bundle [CB], forceps minor [FMIN], and left/right uncinate fasciculus), we sought to elucidate these relationships. METHODS No adolescent had a history of anxiety and/or depression. The Screen for Child Anxiety Related Emotional Disorders and Children's Depression Rating Scale were used at scan to assess anxiety and depressive symptoms in 55 concussed adolescents (41.8% girls) and 50 control adolescents with no current/history of concussion (44% girls). We evaluated if a mediation-moderation model including the NDI (mediation) and sex or pubertal status (moderation) could help explain this relationship. RESULTS Relative to control adolescents, concussed adolescents showed higher anxiety (p = .003) and lower NDI, with those at more advanced pubertal maturation showing greater abnormalities in 4 clusters: the left CB frontal (p = .002), right CB frontal (p = .011), FMIN left-sided (p = .003), and FMIN right-sided (p = .003). Across all concussed adolescents, lower NDI in the left CB frontal and FMIN left-sided clusters partially mediated the association between concussion and anxiety, with the CB being specific to female adolescents. These effects did not explain depressive symptoms. CONCLUSIONS Our findings indicate that lower NDI in the CB and FMIN may help explain anxiety following concussion and that adolescents at more advanced (vs less advanced) status of pubertal maturation may be more vulnerable to concussion-related injuries, especially in girls.
Collapse
Affiliation(s)
- João Paulo Lima Santos
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Anthony P Kontos
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Cynthia L Holland
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Stephen J Suss
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Richelle S Stiffler
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Hannah B Bitzer
- Department of Psychology, Florida International University, Miami, Florida
| | - Adam T Colorito
- Department of Psychology, Florida International University, Miami, Florida
| | - Madelyn Shaffer
- Department of Psychology, Florida International University, Miami, Florida
| | - Alexander Skeba
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Satish Iyengar
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Anna Manelis
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - David Brent
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Psychiatry, UPMC Western Psychiatric Hospital, Pittsburgh, Pennsylvania
| | - Elizabeth A Shirtcliff
- Center for Translational Neuroscience and Department of Psychology, University of Oregon, Eugene, Oregon
| | - Cecile D Ladouceur
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael W Collins
- Department of Orthopaedic Surgery/UPMC Sports Concussion Program, University of Pittsburgh, Pennsylvania
| | - Amelia Versace
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Radiology, Magnetic Resonance Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania.
| |
Collapse
|
16
|
Jacquens A, Delmotte PR, Gourbeix C, Farny N, Perret-Liaudet B, Hijazi D, Batisti V, Torkomian G, Cassereau D, Debarle C, Shotar E, Gellman C, Mathon B, Bayen E, Galanaud D, Perlbarg V, Puybasset L, Degos V. MRI volumetry and diffusion tensor imaging for diagnosis and follow-up of late post-traumatic injuries. Ann Phys Rehabil Med 2024; 67:101783. [PMID: 38147704 DOI: 10.1016/j.rehab.2023.101783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 05/02/2023] [Accepted: 05/29/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Traumatic Brain Injury (TBI) is a major cause of acquired disability and can cause devastating and progressive post-traumatic encephalopathy. TBI is a dynamic condition that continues to evolve over time. A better understanding of the pathophysiology of these late lesions is important for the development of new therapeutic strategies. OBJECTIVES The primary objective was to compare the ability of fluid-attenuated reversion recovery (FLAIR) and diffusion tensor imaging (DTI) magnetic resonance imaging (MRI) markers to identify participants with a Glasgow outcome scale extended (GOS-E) score of 7-8, up to 10 years after their original TBI. The secondary objective was to study the brain regionalization of DTI markers. Finally, we analyzed the evolution of late-developing brain lesions using repeated MRI images, also taken up to 10 years after the TBI. METHODS In this retrospective study, participants were included from a cohort of people hospitalized following a severe TBI. Following their discharge, they were followed-up and clinically assessed, including a DTI-MRI scan, between 2012 and 2016. We performed a cross-sectional analysis on 97 participants at a median (IQR) of 5 years (3-6) post-TBI, and a further post-TBI longitudinal analysis over 10 years on a subpopulation (n = 17) of the cohort. RESULTS Although the area under the curve (AUC) of FLAIR, fractional anisotropy (FA), and mean diffusivity (MD) were not significantly different, only the AUC of FA was statistically greater than 0.5. In addition, only the FA was correlated with clinical outcomes as assessed by GOS-E score (P<10-4). On the cross-sectional analysis, DTI markers allowed study post-TBI white matter lesions by region. In the longitudinal subpopulation analysis, the observed number of brain lesions increased for the first 5 years post-TBI, before stabilizing over the next 5 years. CONCLUSIONS This study has shown for the first time that post-TBI lesions can present in a two-phase evolution. These results must be confirmed in larger studies. French Data Protection Agency (Commission nationale de l'informatique et des libertés; CNIL) study registration no: 1934708v0.
Collapse
Affiliation(s)
- Alice Jacquens
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France.
| | - Pierre-Romain Delmotte
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| | - Claire Gourbeix
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| | - Nicolas Farny
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| | - Bérenger Perret-Liaudet
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| | - Dany Hijazi
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| | - Valentine Batisti
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| | - Grégory Torkomian
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| | - Didier Cassereau
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, 15 rue de l'Ecole de Médecine, 75006, Paris, France; ESPCI, 10 rue Vauquelin, 75005, Paris, France
| | - Clara Debarle
- Physical Medicine and Rehabilitation Department, Centre Hospitalier Saint-Anne, 1 rue Cabanis, GHU Paris psychiatrie et neurosciences, 75014, Paris, France
| | - Eimad Shotar
- Department of Interventional Neuroradiology, Pitié-Salpêtrière Hospital, Paris, France
| | - Celia Gellman
- Icahn School of Medicine at Mount Sinai, NYC Health + Hospitals/Elmhurst, Internal Medicine Residency Program, United States
| | - Bertrand Mathon
- Department of Neurosurgery, APHP - Sorbonne University, La Pitié-Salpêtrière Hospital, 47-83, Boulevard de L'Hôpital, 75651 Cedex 13, Paris, France
| | - Eleonor Bayen
- UGECAM-IdF, groupe hospitalier Pitié-Salpêtrière, service de médecine physique et de réadaptation, Paris France
| | - Damien Galanaud
- Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital de la Pitié-Salpêtrière, Service de Neuroradiologie, 75013, Paris, France
| | | | - Louis Puybasset
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France; BRAINTALE SAS, Paris, France
| | - Vincent Degos
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013, Paris, France
| |
Collapse
|
17
|
Jaafari O, Salih S, Alkatheeri A, Alshehri M, Al-Shammari M, Maeni M, Alqahtani A, Alomaim W, Hasaneen M. Appropriate incorporation of susceptibility-weighted magnetic resonance imaging into routine imaging protocols for accurate diagnosis of traumatic brain injuries: a systematic review. J Med Life 2024; 17:273-280. [PMID: 39044937 PMCID: PMC11262612 DOI: 10.25122/jml-2023-0487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 02/12/2024] [Indexed: 07/25/2024] Open
Abstract
Traumatic brain injury (TBI) results from physical or traumatic injuries to the brain's surrounding bony structures and associated tissues, which can lead to various sequelae, including simple concussion, acute epidural hematoma, parenchymal contusions, subarachnoid hemorrhage, diffuse axonal injury, and chronic traumatic encephalopathy. Susceptibility-weighted imaging (SWI) has enhanced the accuracy of neuroimaging for these injuries. SWI is based on 3D gradient echo magnetic resonance imaging (MRI) with long echo times and flow compensation. Owing to its sensitivity to deoxyhemoglobin, hemosiderin, iron, and calcium, SWI is extremely informative and superior to conventional MRI for the diagnosis and follow-up of patients with acute, subacute, and prolonged hemorrhage. This systematic review aimed to evaluate and summarize the published articles that report SWI results for the evaluation of TBI and to determine correlations between clinical status and SWI results. Consequently, our analysis also aimed to identify the appropriate MRI sequences to use in the assessment of patients with TBI. We searched the Medline and Embase online electronic databases for relevant papers published from 2012 onwards. We found that SWI had higher sensitivity than gradient echo MRI in detecting and characterizing microbleeds in TBIs and was able to differentiate diamagnetic calcifications from paramagnetic microhemorrhages. However, it is important that future research not only continues to evaluate the utility of SWI in TBIs but also attempts to overcome the limitations of the studies described in this review, which should help validate the conclusions and recommendations from our analysis.
Collapse
Affiliation(s)
- Osama Jaafari
- Radiology Department, Royal Commission Medical Center, King Fahad, Al-Nakheel, Yanbu, Saudi Arabia
| | - Suliman Salih
- Department of Radiography and Medical Imaging, Fatima College of Health Sciences, Al Ain, United Arab Emirates
| | - Ajnas Alkatheeri
- Department of Radiography and Medical Imaging, Fatima College of Health Sciences, Al Ain, United Arab Emirates
| | - Muhamed Alshehri
- Department of Radiology and Medical Imaging, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Majedh Al-Shammari
- Department of Radiological Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | - Mousa Maeni
- Radiology Department, Royal Commission Medical Center, King Fahad, Al-Nakheel, Yanbu, Saudi Arabia
| | - Abdullah Alqahtani
- Radiology Department, Royal Commission Medical Center, King Fahad, Al-Nakheel, Yanbu, Saudi Arabia
| | - Wijdan Alomaim
- Department of Radiography and Medical Imaging, Fatima College of Health Sciences, Al Ain, United Arab Emirates
| | - Mohamed Hasaneen
- Department of Radiography and Medical Imaging, Fatima College of Health Sciences, Al Ain, United Arab Emirates
| |
Collapse
|
18
|
Caznok Silveira AC, Antunes ASLM, Athié MCP, da Silva BF, Ribeiro dos Santos JV, Canateli C, Fontoura MA, Pinto A, Pimentel-Silva LR, Avansini SH, de Carvalho M. Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders. Front Neurosci 2024; 18:1340345. [PMID: 38445254 PMCID: PMC10912403 DOI: 10.3389/fnins.2024.1340345] [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: 11/17/2023] [Accepted: 01/29/2024] [Indexed: 03/07/2024] Open
Abstract
The study of brain connectivity has been a cornerstone in understanding the complexities of neurological and psychiatric disorders. It has provided invaluable insights into the functional architecture of the brain and how it is perturbed in disorders. However, a persistent challenge has been achieving the proper spatial resolution, and developing computational algorithms to address biological questions at the multi-cellular level, a scale often referred to as the mesoscale. Historically, neuroimaging studies of brain connectivity have predominantly focused on the macroscale, providing insights into inter-regional brain connections but often falling short of resolving the intricacies of neural circuitry at the cellular or mesoscale level. This limitation has hindered our ability to fully comprehend the underlying mechanisms of neurological and psychiatric disorders and to develop targeted interventions. In light of this issue, our review manuscript seeks to bridge this critical gap by delving into the domain of mesoscale neuroimaging. We aim to provide a comprehensive overview of conditions affected by aberrant neural connections, image acquisition techniques, feature extraction, and data analysis methods that are specifically tailored to the mesoscale. We further delineate the potential of brain connectivity research to elucidate complex biological questions, with a particular focus on schizophrenia and epilepsy. This review encompasses topics such as dendritic spine quantification, single neuron morphology, and brain region connectivity. We aim to showcase the applicability and significance of mesoscale neuroimaging techniques in the field of neuroscience, highlighting their potential for gaining insights into the complexities of neurological and psychiatric disorders.
Collapse
Affiliation(s)
- Ana Clara Caznok Silveira
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
- School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil
| | | | - Maria Carolina Pedro Athié
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Bárbara Filomena da Silva
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | | | - Camila Canateli
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Marina Alves Fontoura
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Allan Pinto
- Brazilian Synchrotron Light Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | | | - Simoni Helena Avansini
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| | - Murilo de Carvalho
- National Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
- Brazilian Synchrotron Light Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, Brazil
| |
Collapse
|
19
|
Zarei H, Roshdi Dizaji S, Toloui A, Yousefifard M, Esmaeili A. Diagnostic and Prognostic Values of S100B versus Neuron Specific Enolase for Traumatic Brain Injury; a Systematic Review and Meta-analysis. ARCHIVES OF ACADEMIC EMERGENCY MEDICINE 2024; 12:e29. [PMID: 38572218 PMCID: PMC10988180 DOI: 10.22037/aaem.v12i1.2222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
Introduction Traumataic brain injury (TBI) represents a significant global health burden. This systematic review delves into the comparison of S100B and Neuron-Specific Enolase (NSE) regarding their diagnostic and prognostic accuracy in TBI within the adult population. Methods Conducted on October 21, 2023, the search identified 24 studies encompassing 6454 adult patients. QUADAS-2 and QUAPAS tools were employed to assess the risk of bias. The analyses aimed to evaluate the diagnostic and prognostic performance of S100B and NSE based on sensitivity, specificity, and area under the curve (AUC). The outcomes were detecting intracranial injury, mortality, and unfavorable outcome. Results Pooled data analysis tended towards favoring S100B for diagnostic and prognostic purposes. S100B exhibited a diagnostic AUC of 0.74 (95% confidence interval (CI): 0.70-0.78), sensitivity of 80% (95% CI: 63%-90%), and specificity of 59% (95% CI: 45%-72%), outperforming NSE with an AUC of 0.66 (95% CI: 0.61-0.70), sensitivity of 74% (95% CI: 53%-88%), and specificity of 46% (95% CI: 24%-69%). Notably, both biomarkers demonstrated enhanced diagnostic value when blood samples were collected within 12 hours post-injury. The analyses also revealed the excellent diagnostic ability of S100B with a sensitivity of 99% (95% CI: 4%-100%) and a specificity of 76% (95% CI: 51%-91%) in mild TBI patients (AUC = 0.89 [0.86-0.91]). In predicting mortality, S100B showed a sensitivity of 90% (95% CI: 65%-98%) and specificity of 61% (95% CI: 39%-79%), slightly surpassing NSE's performance with a sensitivity of 88% (95% CI: 76%-95%) and specificity of 56% (95% CI: 47%-65%). For predicting unfavorable outcomes, S100B exhibited a sensitivity of 83% (95% CI: 74%-90%) and specificity of 51% (95% CI: 30%-72%), while NSE had a sensitivity of 80% (95% CI: 64%-90%) and specificity of 59% (95% CI: 46%-71%). Conclusion Although neither biomarker has shown promising diagnostic performance in detecting abnormal computed tomography (CT) findings, they have displayed acceptable outcome prediction capabilities, particularly with regard to mortality.
Collapse
Affiliation(s)
- Hamed Zarei
- Men’s Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Both authors contributed equally to this work
| | - Shayan Roshdi Dizaji
- Men’s Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Both authors contributed equally to this work
| | - Amirmohammad Toloui
- Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mahmoud Yousefifard
- Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Alireza Esmaeili
- Emergency Department, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| |
Collapse
|
20
|
Clouston S, Huang C, Ying J, Sekendiz Z, Kritikos M, Fontana A, Bangiyev L, Luft B. Neuroinflammatory imaging markers in white matter: insights into the cerebral consequences of post-acute sequelae of COVID-19 (PASC). RESEARCH SQUARE 2024:rs.3.rs-3760289. [PMID: 38313257 PMCID: PMC10836117 DOI: 10.21203/rs.3.rs-3760289/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Symptoms of coronavirus disease 2019 (COVID-19) can persist for months or years after infection, a condition called Post-Acute Sequelae of COVID-19 (PASC). Whole-brain white matter and cortical gray matter health were assessed using multi-shell diffusion tensor imaging. Correlational tractography was utilized to dissect the nature and extent of white matter changes. In this study of 42 male essential workers, the most common symptoms of Neurological PASC (n = 24) included fatigue (n = 19) and headache (n = 17). Participants with neurological PASC demonstrated alterations to whole-brain white matter health when compared to controls made up of uninfected, asymptomatic, or mildly infected controls (n = 18). Large differences were evident between PASC and controls in measures of fractional anisotropy (Cohen's D=-0.54, P = 0.001) and cortical isotropic diffusion (Cohen's D = 0.50, P = 0.002). Symptoms were associated with white matter fractional anisotropy (fatigue: rho = -0.62, P< 0.001; headache: rho = -0.66, P < 0.001), as well as nine other measures of white and gray matter health. Brain fog was associated with improved cerebral functioning including improved white matter isotropic diffusion and quantitative anisotropy. This study identified changes across measures of white and gray matter connectivity, neuroinflammation, and cerebral atrophy that were interrelated and associated with differences in symptoms of PASC. These results provide insights into the long-term cerebral implications of COVID-19.
Collapse
|
21
|
Hageman G, Hageman I, Nihom J. Chronic Traumatic Encephalopathy in Soccer Players: Review of 14 Cases. Clin J Sport Med 2024; 34:69-80. [PMID: 37403989 DOI: 10.1097/jsm.0000000000001174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 05/22/2023] [Indexed: 07/06/2023]
Abstract
OBJECTIVE Exposure to repetitive sports-related concussions or (sub)concussive head trauma may lead to chronic traumatic encephalopathy (CTE). Which impact (heading or concussion) poses the greatest risk of CTE development in soccer players? DESIGN Narrative review. SETTING Teaching hospital and University of Applied sciences. PATIENTS A literature search (PubMed) was conducted for neuropathologic studies in the period 2005-December 2022, investigating soccer players with dementia and a CTE diagnosis, limited to English language publications. 210 papers were selected for final inclusion, of which 7 papers described 14 soccer players. ASSESSMENT Magnetic resonance imaging studies in soccer players show that lifetime estimates of heading numbers are inversely correlated with cortical thickness, grey matter volume, and density of the anterior temporal cortex. Using diffusion tensor imaging-magnetic resonance imaging, higher frequency of headings-particularly with rotational accelerations-are associated with impaired white matter integrity. Serum neurofilament light protein is elevated after heading. MAIN OUTCOME MEASURES Chronic traumatic encephalopathy pathology, history of concussion, heading frequency. RESULTS In 10 of 14 soccer players, CTE was the primary diagnosis. In 4 cases, other dementia types formed the primary diagnosis and CTE pathology was a concomitant finding. Remarkably, 6 of the 14 cases had no history of concussion, suggesting that frequent heading may be a risk for CTE in patients without symptomatic concussion. Rule changes in heading duels, management of concussion during the game, and limiting the number of high force headers during training are discussed. CONCLUSIONS Data suggest that heading frequency and concussions are associated with higher risk of developing CTE in (retired) soccer players. However based on this review of only 14 players, questions persist as to whether or not heading is a risk factor for CTE or long-term cognitive decline.
Collapse
Affiliation(s)
- Gerard Hageman
- Department of Neurology, Medisch Spectrum Twente, Hospital Enschede, Enschede, the Netherlands; and
| | - Ivar Hageman
- Saxion University of Applied Sciences, Enschede, the Netherlands
| | - Jik Nihom
- Department of Neurology, Medisch Spectrum Twente, Hospital Enschede, Enschede, the Netherlands; and
| |
Collapse
|
22
|
Meyers SP, Hirad A, Gonzalez P, Bazarian JJ, Mirabelli MH, Rizzone KH, Ma HM, Rosella P, Totterman S, Schreyer E, Tamez-Pena JG. Clinical performance of a multiparametric MRI-based post concussive syndrome index. Front Neurol 2023; 14:1282833. [PMID: 38170071 PMCID: PMC10759224 DOI: 10.3389/fneur.2023.1282833] [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: 08/24/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
Introduction Diffusion Tensor Imaging (DTI) has revealed measurable changes in the brains of patients with persistent post-concussive syndrome (PCS). Because of inconsistent results in univariate DTI metrics among patients with mild traumatic brain injury (mTBI), there is currently no single objective and reliable MRI index for clinical decision-making in patients with PCS. Purpose This study aimed to evaluate the performance of a newly developed PCS Index (PCSI) derived from machine learning of multiparametric magnetic resonance imaging (MRI) data to classify and differentiate subjects with mTBI and PCS history from those without a history of mTBI. Materials and methods Data were retrospectively extracted from 139 patients aged between 18 and 60 years with PCS who underwent MRI examinations at 2 weeks to 1-year post-mTBI, as well as from 336 subjects without a history of head trauma. The performance of the PCS Index was assessed by comparing 69 patients with a clinical diagnosis of PCS with 264 control subjects. The PCSI values for patients with PCS were compared based on the mechanism of injury, time interval from injury to MRI examination, sex, history of prior concussion, loss of consciousness, and reported symptoms. Results Injured patients had a mean PCSI value of 0.57, compared to the control group, which had a mean PCSI value of 0.12 (p = 8.42e-23) with accuracy of 88%, sensitivity of 64%, and specificity of 95%, respectively. No statistically significant differences were found in the PCSI values when comparing the mechanism of injury, sex, or loss of consciousness. Conclusion The PCSI for individuals aged between 18 and 60 years was able to accurately identify patients with post-concussive injuries from 2 weeks to 1-year post-mTBI and differentiate them from the controls. The results of this study suggest that multiparametric MRI-based PCSI has great potential as an objective clinical tool to support the diagnosis, treatment, and follow-up care of patients with post-concussive syndrome. Further research is required to investigate the replicability of this method using other types of clinical MRI scanners.
Collapse
Affiliation(s)
- Steven P. Meyers
- Department of Imaging Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Adnan Hirad
- Department of Vascular Surgery, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | | | - Jeffrey J. Bazarian
- Departments of Emergency Medicine, Neurology, Neurosurgery, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Mark H. Mirabelli
- Department of Orthopedics, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Katherine H. Rizzone
- Department of Orthopedics, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Heather M. Ma
- Department of Physical Medicine and Rehabilitation, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Peter Rosella
- Department of Imaging Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | | | | | - Jose G. Tamez-Pena
- School of Medicine and Health Sciences, Tecnologico de Monterey, Monterrey, Mexico
| |
Collapse
|
23
|
Lippa SM, Yeh PH, Kennedy JE, Bailie JM, Ollinger J, Brickell TA, French LM, Lange RT. Lifetime Blast Exposure Is Not Related to White Matter Integrity in Service Members and Veterans With and Without Uncomplicated Mild Traumatic Brain Injury. Neurotrauma Rep 2023; 4:827-837. [PMID: 38156076 PMCID: PMC10754347 DOI: 10.1089/neur.2023.0043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2023] Open
Abstract
This study examines the impact of lifetime blast exposure on white matter integrity in service members and veterans (SMVs). Participants were 227 SMVs, including those with a history of mild traumatic brain injury (mTBI; n = 124), orthopedic injury controls (n = 58), and non-injured controls (n = 45), prospectively enrolled in a Defense and Veterans Brain Injury Center (DVBIC)/Traumatic Brain Injury Center of Excellence (TBICoE) study. Participants were divided into three groups based on number of self-reported lifetime blast exposures: none (n = 53); low (i.e., 1-9 blasts; n = 81); and high (i.e., ≥10 blasts; n = 93). All participants underwent diffusion tensor imaging (DTI) at least 11 months post-injury. Tract-of-interest (TOI) analysis was applied to investigate fractional anisotropy and mean, radial, and axial diffusivity (AD) in left and right total cerebral white matter as well as 24 tracts. Benjamini-Hochberg false discovery rate (FDR) correction was used. Regressions investigating blast exposure and mTBI on white matter integrity, controlling for age, revealed that the presence of mTBI history was associated with lower AD in the bilateral superior longitudinal fasciculus and arcuate fasciculus and left cingulum (βs = -0.255 to -0.174; ps < 0.01); however, when non-injured controls were removed from the sample (but orthopedic injury controls remained), these relationships were attenuated and did not survive FDR correction. Regression models were rerun with modified post-traumatic stress disorder (PTSD) diagnosis added as a predictor. After FDR correction, PTSD was not significantly associated with white matter integrity in any of the models. Overall, there was no relationship between white matter integrity and self-reported lifetime blast exposure or PTSD.
Collapse
Affiliation(s)
- Sara M. Lippa
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Bethesda, Maryland, USA
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Ping-Hong Yeh
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Bethesda, Maryland, USA
| | - Jan E. Kennedy
- Traumatic Brain Injury Center of Excellence, Silver Spring, Maryland, USA
- Contractor, General Dynamics Information Technology, Silver Spring, Maryland, USA
- Brooke Army Medical Center, Joint Base, San Antonio, Texas, USA
| | - Jason M. Bailie
- Traumatic Brain Injury Center of Excellence, Silver Spring, Maryland, USA
- Contractor, General Dynamics Information Technology, Silver Spring, Maryland, USA
- 33 Area Branch Clinic, Camp Pendleton, California, USA
| | - John Ollinger
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Bethesda, Maryland, USA
| | - Tracey A. Brickell
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Bethesda, Maryland, USA
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Traumatic Brain Injury Center of Excellence, Silver Spring, Maryland, USA
- Contractor, General Dynamics Information Technology, Silver Spring, Maryland, USA
| | - Louis M. French
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Bethesda, Maryland, USA
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Rael T. Lange
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Bethesda, Maryland, USA
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Traumatic Brain Injury Center of Excellence, Silver Spring, Maryland, USA
- Contractor, General Dynamics Information Technology, Silver Spring, Maryland, USA
- University of British Columbia, Vancouver, British Columbia, USA
| |
Collapse
|
24
|
Hoogenboom WS, Rubin TG, Ambadipudi K, Cui MH, Ye K, Foster H, Elkouby E, Liu J, Branch CA, Lipton ML. Evolving brain and behaviour changes in rats following repetitive subconcussive head impacts. Brain Commun 2023; 5:fcad316. [PMID: 38046094 PMCID: PMC10691880 DOI: 10.1093/braincomms/fcad316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 09/26/2023] [Accepted: 11/19/2023] [Indexed: 12/05/2023] Open
Abstract
There is growing concern that repetitive subconcussive head impacts, independent of concussion, alter brain structure and function, and may disproportionately affect the developing brain. Animal studies of repetitive subconcussive head impacts are needed to begin to characterize the pathological basis and mechanisms underlying imaging and functional effects of repetitive subconcussive head impacts seen in humans. Since repetitive subconcussive head impacts have been largely unexplored in animals, we aimed to characterize the evolution of imaging, behavioural and pathological effects of repetitive subconcussive head impacts in awake adolescent rodents. Awake male and female Sprague Dawley rats (postnatal Day 35) received 140 closed-head impacts over the course of a week. Impacted and sham-impacted animals were restrained in a plastic cone, and unrestrained control animals were included to account for effects of restraint and normal development. Animals (n = 43) underwent repeated diffusion tensor imaging prior to and over 1 month following the final impact. A separate cohort (n = 53) was assessed behaviourally for fine motor control, emotional-affective behaviour and memory at acute and chronic time points. Histological and immunohistochemical analyses, which were exploratory in nature due to smaller sample sizes, were completed at 1 month following the final impact. All animals tolerated the protocol with no overt changes in behaviour or stigmata of traumatic brain injury, such as alteration of consciousness, intracranial haemorrhage or skull fracture. We detected longitudinal, sex-dependent diffusion tensor imaging changes (fractional anisotropy and axial diffusivity decline) in corpus callosum and external capsule of repetitive subconcussive head impact animals, which diverged from both sham and control. Compared to sham animals, repetitive subconcussive head impact animals exhibited acute but transient mild motor deficits. Repetitive subconcussive head impact animals also exhibited chronic anxiety and spatial memory impairment that differed from the control animals, but these effects were not different from those seen in the sham condition. We observed trends in the data for thinning of the corpus callosum as well as regions with elevated Iba-1 in the corpus callosum and cerebral white matter among repetitive subconcussive head impact animals. While replication with larger study samples is needed, our findings suggest that subconcussive head impacts cause microstructural tissue changes in the developing rat brain, which are detectable with diffusion tensor imaging, with suggestion of correlates in tissue pathology and behaviour. The results point to potential mechanisms underpinning consequences of subconcussive head impacts that have been described in humans. The congruence of our imaging findings with human subconcussive head impacts suggests that neuroimaging could serve as a translational bridge to advance study of injury mechanisms and development of interventions.
Collapse
Affiliation(s)
- Wouter S Hoogenboom
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
- Department of Clinical Investigation, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
- Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10461, USA
| | - Todd G Rubin
- Department of Neurology, Icahn School of Medicine at Mount Sinai, NewYork, NY 10029, USA
| | - Kamalakar Ambadipudi
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
- Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10461, USA
| | - Min-Hui Cui
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
- Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10461, USA
| | - Kenny Ye
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10461, USA
| | - Henry Foster
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
| | - Esther Elkouby
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
| | - Jinyuan Liu
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
| | - Craig A Branch
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10641, USA
- Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10461, USA
- Department of Physiology and Biophysics, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10461, USA
| | - Michael L Lipton
- Department of Radiology, Columbia University Irving Medical Center, NewYork, NY 10032, USA
- Department of Biomedical Engineering, Columbia University, NewYork, NY 10032, USA
| |
Collapse
|
25
|
Carisch L, Lindt B, Richter H, Del Chicca F. Regional ADC values of the morphologically normal canine brain. Front Vet Sci 2023; 10:1219943. [PMID: 38026624 PMCID: PMC10663295 DOI: 10.3389/fvets.2023.1219943] [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: 05/09/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Diffusion-weighted magnetic resonance imaging is increasingly available for investigation of canine brain diseases. Apparent diffusion coefficient (ADC) of normal canine brains is reported only in small numbers of subjects. The aim of the study was to investigate the ADC of different anatomical regions in the morphologically normal brain in a large population of canine patients in clinical setting. Additionally, possible influence on the ADC value of patient-related factors like sex, age and body weight, difference between the left and right side of the cerebral hemispheres, and between gray and white matter were investigated. Methods Brain magnetic resonance studies including diffusion-weighted images of dogs presented at the Vetsuisse Faculty-University Zurich between 2015 and 2020 were reviewed retrospectively. Only morphologically normal brain magnetic resonance studies of dogs presented with neurological signs or non-neurological signs were included. Apparent diffusion coefficient values of 12 regions of interest (ROIs) in each hemisphere and an additional region in the cerebellar vermis were examined in each dog. Results A total of 321 dogs (including 247 dogs with neurological signs and 62 dogs with non-neurological signs) of various breeds, sex and age were included. Apparent diffusion coefficient significantly varied among most anatomical brain regions. A significantly higher ADC was measured in the gray [median 0.79 (range 0.69-0.90) × 10-3 mm2/s] compared to the white matter [median 0.70 (range 0.63-0.85) × 10-3 mm2/s]. No significant differences were found between the left and right cerebral hemispheres in most of the regions, neither between sexes, different reproductive status, and not consistently between body weight groups. Age was correlated first with a decrease from dogs <1 year of age to middle-age (⩾3 to <8 years) dogs and later with an increase of ADC values in dogs ⩾8 years. Discussion Apparent diffusion coefficient values of 25 ROIs were described in 321 morphologically normal canine brains in clinical setting. Apparent diffusion coefficient differences depending on the brain anatomical region are present. Apparent diffusion coefficient differences among age classes are present, likely consistent with brain maturation and aging. The described data can be a reference for future studies in clinical settings on the canine brain.
Collapse
Affiliation(s)
- Lea Carisch
- Clinic for Diagnostic Imaging, Department of Diagnostics and Clinical Services, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | | | | | | |
Collapse
|
26
|
Abdul Baki S, Zakeri Z, Chari G, Fenton A, Omurtag A. Relaxed Alert Electroencephalography Screening for Mild Traumatic Brain Injury in Athletes. Int J Sports Med 2023; 44:896-905. [PMID: 37164326 DOI: 10.1055/a-2091-4860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Due to the mildness of initial injury, many athletes with recurrent mild traumatic brain injury (mTBI) are misdiagnosed with other neuropsychiatric illnesses. This study was designed as a proof-of-principle feasibility trial for athletic trainers at a sports facility to generate electroencephalograms (EEGs) from student athletes for discriminating (mTBI) associated EEGs from uninjured ones. A total of 47 EEGs were generated, with 30 athletes recruited at baseline (BL) pre-season, after a concussive injury (IN), and post-season (PS). Outcomes included: 1) visual analyses of EEGs by a neurologist; 2) support vector machine (SVM) classification for inferences about whether particular groups belonged to the three subgroups of BL, IN, or PS; and 3) analyses of EEG synchronies including phase locking value (PLV) computed between pairs of distinct electrodes. All EEGs were visually interpreted as normal. SVM classification showed that BL and IN could be discriminated with 81% accuracy using features of EEG synchronies combined. Frontal inter-hemispheric phase synchronization measured by PLV was significantly lower in the IN group. It is feasible for athletic trainers to record high quality EEGs from student athletes. Also, spatially localized metrics of EEG synchrony can discriminate mTBI associated EEGs from control EEGs.
Collapse
Affiliation(s)
- Samah Abdul Baki
- Clinical BioSignal Group Corp., Acton, Massachusetts, United States
| | - Zohreh Zakeri
- Department of Engineering, Nottingham Trent University School of Science and Technology, Nottingham, United Kingdom of Great Britain and Northern Ireland
| | - Geetha Chari
- Pediatric Neurology, SUNY Downstate Medical Center, New York City, United States
| | - André Fenton
- Center for Neural Science, NYU, New York, United States
| | - Ahmet Omurtag
- Department of Engineering, Nottingham Trent University School of Science and Technology, Nottingham, United Kingdom of Great Britain and Northern Ireland
| |
Collapse
|
27
|
Savitz J, Goeckner BD, Ford BN, Kent Teague T, Zheng H, Harezlak J, Mannix R, Tugan Muftuler L, Brett BL, McCrea MA, Meier TB. The effects of cytomegalovirus on brain structure following sport-related concussion. Brain 2023; 146:4262-4273. [PMID: 37070698 PMCID: PMC10545519 DOI: 10.1093/brain/awad126] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 03/06/2023] [Accepted: 03/27/2023] [Indexed: 04/19/2023] Open
Abstract
The neurotrophic herpes virus cytomegalovirus is a known cause of neuropathology in utero and in immunocompromised populations. Cytomegalovirus is reactivated by stress and inflammation, possibly explaining the emerging evidence linking it to subtle brain changes in the context of more minor disturbances of immune function. Even mild forms of traumatic brain injury, including sport-related concussion, are major physiological stressors that produce neuroinflammation. In theory, concussion could predispose to the reactivation of cytomegalovirus and amplify the effects of physical injury on brain structure. However, to our knowledge this hypothesis remains untested. This study evaluated the effect of cytomegalovirus serostatus on white and grey matter structure in a prospective study of athletes with concussion and matched contact-sport controls. Athletes who sustained concussion (n = 88) completed MRI at 1, 8, 15 and 45 days post-injury; matched uninjured athletes (n = 73) completed similar visits. Cytomegalovirus serostatus was determined by measuring serum IgG antibodies (n = 30 concussed athletes and n = 21 controls were seropositive). Inverse probability of treatment weighting was used to adjust for confounding factors between athletes with and without cytomegalovirus. White matter microstructure was assessed using diffusion kurtosis imaging metrics in regions previously shown to be sensitive to concussion. T1-weighted images were used to quantify mean cortical thickness and total surface area. Concussion-related symptoms, psychological distress, and serum concentration of C-reactive protein at 1 day post-injury were included as exploratory outcomes. Planned contrasts compared the effects of cytomegalovirus seropositivity in athletes with concussion and controls, separately. There was a significant effect of cytomegalovirus on axial and radial kurtosis in athletes with concussion but not controls. Cytomegalovirus positive athletes with concussion showed greater axial (P = 0.007, d = 0.44) and radial (P = 0.010, d = 0.41) kurtosis than cytomegalovirus negative athletes with concussion. Similarly, there was a significant association of cytomegalovirus with cortical thickness in athletes with concussion but not controls. Cytomegalovirus positive athletes with concussion had reduced mean cortical thickness of the right hemisphere (P = 0.009, d = 0.42) compared with cytomegalovirus negative athletes with concussion and showed a similar trend for the left hemisphere (P = 0.036, d = 0.33). There was no significant effect of cytomegalovirus on kurtosis fractional anisotropy, surface area, symptoms and C-reactive protein. The results raise the possibility that cytomegalovirus infection contributes to structural brain abnormalities in the aftermath of concussion perhaps via an amplification of concussion-associated neuroinflammation. More work is needed to identify the biological pathways underlying this process and to clarify the clinical relevance of this putative viral effect.
Collapse
Affiliation(s)
- Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK 74119, USA
| | - Bryna D Goeckner
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Bart N Ford
- Department of Pharmacology and Physiology, Oklahoma State University Center for Health Sciences, Tulsa, OK 74107, USA
| | - T Kent Teague
- Department of Psychiatry, The University of Oklahoma School of Community Medicine, Tulsa, OK 74135, USA
- Department of Surgery, The University of Oklahoma School of Community Medicine, Tulsa, OK 74135, USA
- Department of Pharmaceutical Sciences, University of Oklahoma College of Pharmacy, Tulsa, OK 74135, USA
| | - Haixia Zheng
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA
| | - Jaroslaw Harezlak
- Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA
| | - Rebekah Mannix
- Division of Emergency Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - L Tugan Muftuler
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| |
Collapse
|
28
|
Khan AR, Zehra S, Baranwal AK, Kumar D, Ali R, Javed S, Bhaisora K. Whole-Blood Metabolomics of a Rat Model of Repetitive Concussion. J Mol Neurosci 2023; 73:843-852. [PMID: 37801210 DOI: 10.1007/s12031-023-02162-7] [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: 07/22/2023] [Accepted: 09/27/2023] [Indexed: 10/07/2023]
Abstract
Mild traumatic brain injury (mTBI) and repetitive mTBI (RmTBI) are silent epidemics, and so far, there is no objective diagnosis. The severity of the injury is solely based on the Glasgow Coma Score (GCS) scale. Most patients suffer from one or more behavioral abnormalities, such as headache, amnesia, cognitive decline, disturbed sleep pattern, anxiety, depression, and vision abnormalities. Additionally, most neuroimaging modalities are insensitive to capture structural and functional alterations in the brain, leading to inefficient patient management. Metabolomics is one of the established omics technologies to identify metabolic alterations, mostly in biofluids. NMR-based metabolomics provides quantitative metabolic information with non-destructive and minimal sample preparation. We employed whole-blood NMR analysis to identify metabolic markers using a high-field NMR spectrometer (800 MHz). Our approach involves chemical-free sample pretreatment and minimal sample preparation to obtain a robust whole-blood metabolic profile from a rat model of concussion. A single head injury was given to the mTBI group, and three head injuries to the RmTBI group. We found significant alterations in blood metabolites in both mTBI and RmTBI groups compared with the control, such as alanine, branched amino acid (BAA), adenosine diphosphate/adenosine try phosphate (ADP/ATP), creatine, glucose, pyruvate, and glycerphosphocholine (GPC). Choline was significantly altered only in the mTBI group and formate in the RmTBI group compared with the control. These metabolites corroborate previous findings in clinical and preclinical cohorts. Comprehensive whole-blood metabolomics can provide a robust metabolic marker for more accurate diagnosis and treatment intervention for a disease population.
Collapse
Affiliation(s)
- Ahmad Raza Khan
- Department of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGI Campus, Raebareli Road, Lucknow, India.
| | - Samiya Zehra
- Department of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGI Campus, Raebareli Road, Lucknow, India
| | | | - Dinesh Kumar
- Department of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGI Campus, Raebareli Road, Lucknow, India
| | - Raisuddin Ali
- Department of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia
| | - Saleem Javed
- Department of Biochemistry, Aligarh Muslim University (AMU), Aligarh, India
| | - Kamlesh Bhaisora
- Department of Neurosurgery, SGPGIMS, Raebareli Road, Lucknow, India
| |
Collapse
|
29
|
Pankatz L, Rojczyk P, Seitz-Holland J, Bouix S, Jung LB, Wiegand TLT, Bonke EM, Sollmann N, Kaufmann E, Carrington H, Puri T, Rathi Y, Coleman MJ, Pasternak O, George MS, McAllister TW, Zafonte R, Stein MB, Marx CE, Shenton ME, Koerte IK. Adverse Outcome Following Mild Traumatic Brain Injury Is Associated with Microstructure Alterations at the Gray and White Matter Boundary. J Clin Med 2023; 12:5415. [PMID: 37629457 PMCID: PMC10455493 DOI: 10.3390/jcm12165415] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/31/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
The gray matter/white matter (GM/WM) boundary of the brain is vulnerable to shear strain associated with mild traumatic brain injury (mTBI). It is, however, unknown whether GM/WM microstructure is associated with long-term outcomes following mTBI. The diffusion and structural MRI data of 278 participants between 18 and 65 years of age with and without military background from the Department of Defense INTRuST study were analyzed. Fractional anisotropy (FA) was extracted at the GM/WM boundary across the brain and for each lobe. Additionally, two conventional analytic approaches were used: whole-brain deep WM FA (TBSS) and whole-brain cortical thickness (FreeSurfer). ANCOVAs were applied to assess differences between the mTBI cohort (n = 147) and the comparison cohort (n = 131). Associations between imaging features and post-concussive symptom severity, and functional and cognitive impairment were investigated using partial correlations while controlling for mental health comorbidities that are particularly common among military cohorts and were present in both the mTBI and comparison group. Findings revealed significantly lower whole-brain and lobe-specific GM/WM boundary FA (p < 0.011), and deep WM FA (p = 0.001) in the mTBI cohort. Whole-brain and lobe-specific GM/WM boundary FA was significantly negatively correlated with post-concussive symptoms (p < 0.039), functional (p < 0.016), and cognitive impairment (p < 0.049). Deep WM FA was associated with functional impairment (p = 0.002). Finally, no significant difference was observed in cortical thickness, nor between cortical thickness and outcome (p > 0.05). Findings from this study suggest that microstructural alterations at the GM/WM boundary may be sensitive markers of adverse long-term outcomes following mTBI.
Collapse
Affiliation(s)
- Lara Pankatz
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Philine Rojczyk
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Département de génie logiciel et TI, École de Technologie Supérieure, Université du Québec, Montreal, QC H3C 1K3, Canada
| | - Leonard B. Jung
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Tim L. T. Wiegand
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Elena M. Bonke
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Graduate School of Systemic Neuroscience, Ludwig-Maximilians-Universität, 82152 Planegg, Germany
| | - Nico Sollmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Elisabeth Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Department of Neurology, University Hospital, LMU, 81377 Munich, Germany
| | - Holly Carrington
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Brain Injury Research Center of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Twishi Puri
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
| | - Michael J. Coleman
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Mark S. George
- Psychiatry Department, Medical University of South Carolina, Charleston, SC 29425, USA;
- Ralph H. Johnson VA Medical Center, Charleston, SC 29401, USA
| | - Thomas W. McAllister
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA 02129, USA;
- Department of Physical Medicine and Rehabilitation, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Murray B. Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA;
- School of Public Health, University of California San Diego, La Jolla, CA 92093, USA
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA 92161, USA
| | - Christine E. Marx
- VA Mid-Atlantic Mental Illness Research and Clinical Center (MIRECC) and Durham VA Medical Center, Durham, NC 27705, USA;
- Department of Psychiatry and Behavior Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Inga K. Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Graduate School of Systemic Neuroscience, Ludwig-Maximilians-Universität, 82152 Planegg, Germany
| |
Collapse
|
30
|
Halliday DWR, Karr JE, Shahnazian D, Gordon I, Sanchez Escudero JP, MacDonald SWS, Macoun SJ, Hundza SR, Garcia-Barrera MA. Electrophysiological variability during tests of executive functioning: A comparison of athletes with and without concussion and sedentary control participants. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-10. [PMID: 37598380 DOI: 10.1080/23279095.2023.2247512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
OBJECTIVE Sport participation may benefit executive functioning (EF), but EF can also be adversely affected by concussion, which can occur during sport participation. Neural variability is an emerging proxy of brain health that indexes the brain's range of possible responses to incoming stimuli (i.e., dynamic range) and interconnectedness, but has yet to be characterized following concussion among athletes. This study examined whether neural variability was enhanced by athletic participation and attenuated by concussion. METHOD Seventy-seven participants (18-25 years-old) were classified as sedentary controls (n = 33), athletes with positive concussion history (n = 21), or athletes without concussion (n = 23). Participants completed tests of attention switching, response inhibition, and updating working memory while undergoing electroencephalography recordings to index neural variability. RESULTS Compared to sedentary controls and athletes without concussion, athletes with concussion exhibited a restricted whole-brain dynamic range of neural variability when completing a test of inhibitory control. There were no group differences observed for either the switching or working memory tasks. CONCLUSIONS A history of concussion was related to reduced dynamic range of neural activity during a task of response inhibition in young adult athletes. Neural variability may have value for evaluating brain health following concussion.
Collapse
Affiliation(s)
- Drew W R Halliday
- Department of Psychology, University of Victoria, Victoria, Canada
- CORTEX Laboratory, University of Victoria, Victoria, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada
| | - Justin E Karr
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | | | - Iris Gordon
- Department of Psychology, University of Victoria, Victoria, Canada
- CORTEX Laboratory, University of Victoria, Victoria, Canada
| | | | - Stuart W S MacDonald
- Department of Psychology, University of Victoria, Victoria, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada
| | - Sarah J Macoun
- Department of Psychology, University of Victoria, Victoria, Canada
| | - Sandra R Hundza
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, Canada
| | - Mauricio A Garcia-Barrera
- Department of Psychology, University of Victoria, Victoria, Canada
- CORTEX Laboratory, University of Victoria, Victoria, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada
| |
Collapse
|
31
|
Hossain I, Mohammadian M, Maanpää HR, Takala RSK, Tenovuo O, van Gils M, Hutchinson P, Menon DK, Newcombe VF, Tallus J, Hirvonen J, Roine T, Kurki T, Blennow K, Zetterberg H, Posti JP. Plasma neurofilament light admission levels and development of axonal pathology in mild traumatic brain injury. BMC Neurol 2023; 23:304. [PMID: 37582732 PMCID: PMC10426141 DOI: 10.1186/s12883-023-03284-6] [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: 12/25/2022] [Accepted: 06/10/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND It is known that blood levels of neurofilament light (NF-L) and diffusion-weighted magnetic resonance imaging (DW-MRI) are both associated with outcome of patients with mild traumatic brain injury (mTBI). Here, we sought to examine the association between admission levels of plasma NF-L and white matter (WM) integrity in post-acute stage DW-MRI in patients with mTBI. METHODS Ninety-three patients with mTBI (GCS ≥ 13), blood sample for NF-L within 24 h of admission, and DW-MRI ≥ 90 days post-injury (median = 229) were included. Mean fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated from the skeletonized WM tracts of the whole brain. Outcome was assessed using the Extended Glasgow Outcome Scale (GOSE) at the time of imaging. Patients were divided into CT-positive and -negative, and complete (GOSE = 8) and incomplete recovery (GOSE < 8) groups. RESULTS The levels of NF-L and FA correlated negatively in the whole cohort (p = 0.002), in CT-positive patients (p = 0.016), and in those with incomplete recovery (p = 0.005). The same groups showed a positive correlation with mean MD, AD, and RD (p < 0.001-p = 0.011). In CT-negative patients or in patients with full recovery, significant correlations were not found. CONCLUSION In patients with mTBI, the significant correlation between NF-L levels at admission and diffusion tensor imaging (DTI) measurements of diffuse axonal injury (DAI) over more than 3 months suggests that the early levels of plasma NF-L may associate with the presence of DAI at a later phase of TBI.
Collapse
Affiliation(s)
- Iftakher Hossain
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland.
- Turku Brain Injury Center, Turku University Hospital, Turku, Finland.
- Department of Clinical Neurosciences, University of Turku, Turku, Finland.
- Department of Clinical Neurosciences, Neurosurgery Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
| | - Mehrbod Mohammadian
- Turku Brain Injury Center, Turku University Hospital, Turku, Finland
- Department of Clinical Neurosciences, University of Turku, Turku, Finland
| | - Henna-Riikka Maanpää
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Turku Brain Injury Center, Turku University Hospital, Turku, Finland
- Department of Clinical Neurosciences, University of Turku, Turku, Finland
| | - Riikka S K Takala
- Intensive Care Medicine and Pain Management, Perioperative Services, Turku University Hospital and University of Turku, Turku, Finland
| | - Olli Tenovuo
- Department of Clinical Neurosciences, University of Turku, Turku, Finland
| | - Mark van Gils
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Peter Hutchinson
- Department of Clinical Neurosciences, Neurosurgery Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Virginia F Newcombe
- Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Jussi Tallus
- Turku Brain Injury Center, Turku University Hospital, Turku, Finland
- Department of Clinical Neurosciences, University of Turku, Turku, Finland
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Jussi Hirvonen
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Timo Roine
- Turku Brain and Mind Center, University of Turku, Turku, Finland
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Turku, Finland
| | - Timo Kurki
- Turku Brain Injury Center, Turku University Hospital, Turku, Finland
- Department of Clinical Neurosciences, University of Turku, Turku, Finland
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Jussi P Posti
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Turku Brain Injury Center, Turku University Hospital, Turku, Finland
- Department of Clinical Neurosciences, University of Turku, Turku, Finland
| |
Collapse
|
32
|
Sanchez-Molano J, Blaya MO, Padgett KR, Moreno WJ, Zhao W, Dietrich WD, Bramlett HM. Multimodal magnetic resonance imaging after experimental moderate and severe traumatic brain injury: A longitudinal correlative assessment of structural and cerebral blood flow changes. PLoS One 2023; 18:e0289786. [PMID: 37549175 PMCID: PMC10406285 DOI: 10.1371/journal.pone.0289786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023] Open
Abstract
Traumatic brain injury (TBI) is a worldwide problem that results in death or disability for millions of people every year. Progressive neurological complications and long-term impairment can significantly disrupt quality of life. We demonstrated the feasibility of multiple magnetic resonance imaging (MRI) modalities to investigate and predict aberrant changes and progressive atrophy of gray and white matter tissue at several acute and chronic time points after moderate and severe parasagittal fluid percussion TBI. T2-weighted imaging, diffusion tensor imaging (DTI), and perfusion weighted imaging (PWI) were performed. Adult Sprague-Dawley rats were imaged sequentially on days 3, 14, and 1, 4, 6, 8, and 12 months following surgery. TBI caused dynamic white and gray matter alterations with significant differences in DTI values and injury-induced alterations in cerebral blood flow (CBF) as measured by PWI. Regional abnormalities after TBI were observed in T2-weighted images that showed hyperintense cortical lesions and significant cerebral atrophy in these hyperintense areas 1 year after TBI. Temporal DTI values indicated significant injury-induced changes in anisotropy in major white matter tracts, the corpus callosum and external capsule, and in gray matter, the hippocampus and cortex, at both early and chronic time points. These alterations were primarily injury-severity dependent with severe TBI exhibiting a greater degree of change relative to uninjured controls. PWI evaluating CBF revealed sustained global reductions in the cortex and in the hippocampus at most time points in an injury-independent manner. We next sought to investigate prognostic correlations across MRI metrics, timepoints, and cerebral pathology, and found that diffusion abnormalities and reductions in CBF significantly correlated with specific vulnerable structures at multiple time points, as well as with the degree of cerebral atrophy observed 1 year after TBI. This study further supports using DTI and PWI as a means of prognostic imaging for progressive structural changes after TBI and emphasizes the progressive nature of TBI damage.
Collapse
Affiliation(s)
- Juliana Sanchez-Molano
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Meghan O. Blaya
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Kyle R. Padgett
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - William J. Moreno
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Weizhao Zhao
- Department of Biomedical Engineering, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - W. Dalton Dietrich
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Helen M. Bramlett
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
- Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida, United States of America
| |
Collapse
|
33
|
Teng J, Liu W, Mi C, Zhang H, Shi J, Li N. Extracting the most discriminating functional connections in mild traumatic brain injury based on machine learning. Neurosci Lett 2023; 810:137311. [PMID: 37236344 DOI: 10.1016/j.neulet.2023.137311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/17/2023] [Accepted: 05/21/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND Mild traumatic brain injury (mTBI) is characterized as brain microstructural damage, which may cause a wide range of brain functional disturbances and emotional problems. Brain network analysis based on machine learning is an important means of neuroimaging research. Obtaining the most discriminating functional connection is of great significance to analyze the pathological mechanism of mTBI. METHODS To better obtain the most discriminating features of functional connection networks, this study proposes a hierarchical feature selection pipeline (HFSP) composed of Variance Filtering (VF), Lasso, and Principal Component Analysis (PCA). Ablation experiments indicate that each module plays a positive role in classification, validating the robustness and reliability of the HFSP. Furthermore, the HFSP is compared with recursive feature elimination (RFE), elastic net (EN), and locally linear embedding (LLE), verifying its superiority. In addition, this study also utilizes random forest (RF), SVM, Bayesian, linear discriminant analysis (LDA), and logistic regression (LR) as classifiers to evaluate the generalizability of HFSP. RESULTS The results show that the indexes obtained from RF are the highest, with accuracy = 89.74%, precision = 91.26%, recall = 89.74%, and F1 score = 89.42%. The HFSP selects 25 pairs of the most discriminating functional connections, mainly distributed in the frontal lobe, occipital lobe, and cerebellum. Nine brain regions show the largest node degree. LIMITATIONS The number of samples is small. This study only includes acute mTBI. CONCLUSIONS The HFSP is a useful tool for extracting discriminating functional connections and may contribute to the diagnostic processes.
Collapse
Affiliation(s)
- Jing Teng
- The School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, Beijing, China.
| | - Wuyi Liu
- The School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, Beijing, China.
| | - Chunlin Mi
- The School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, Beijing, China.
| | - Honglei Zhang
- The School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, Beijing, China.
| | - Jian Shi
- Department of Critical Care Medicine and Hematology, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan Province, China; Department of Spine Surgery, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan Province, China.
| | - Na Li
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan Province, China.
| |
Collapse
|
34
|
Englert RM, Belding JN, Thomsen CJ. Self-Reported Symptoms in U.S. Marines Following Blast- and Impact-Related Concussion. Mil Med 2023; 188:e2118-e2125. [PMID: 36794787 DOI: 10.1093/milmed/usad026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/30/2022] [Accepted: 01/23/2023] [Indexed: 02/17/2023] Open
Abstract
INTRODUCTION Recent research on traumatic brain injury (TBI) has suggested that the mechanism of injury (i.e., whether the TBI was caused by high-level blast [HLB] vs. direct physical impact to the head) may be an important factor in injury severity, symptomology, and recovery because of differences in physiological effects of each type of injury on the brain. However, differences in self-reported symptomology resulting from HLB- vs. impact-related TBIs have not been thoroughly examined. This study tested the hypothesis that HLB- and impact-related concussions result in different self-reported symptoms in an enlisted Marine Corps population. MATERIALS AND METHODS All records of 2008 and 2012 Post-Deployment Health Assessment (PDHA) forms completed by enlisted active duty Marines between January 2008 and January 2017 were examined for self-reported concussion, mechanism of injury, and self-reported symptoms experienced during deployment. Concussion events were categorized as either blast- or impact-related; individual symptoms were categorized as neurological, musculoskeletal, or immunological. A series of logistic regressions were performed to examine associations between self-reported symptoms experienced by healthy controls and Marines who endorsed (1) any concussion (mTBI), (2) a probable blast-related concussion (mbTBI), and (3) a probable impact-related concussion (miTBI); analyses were also stratified by PTSD. To determine if there were significant differences between odds ratios (ORs) for mbTBIs vs. miTBIs, 95% CIs were examined for overlap. RESULTS Marines with a probable concussion, regardless of the mechanism of injury, were significantly more likely to report all symptoms (OR range: 1.7-19.3). Overall, mbTBIs, compared with miTBIs, resulted in higher odds of symptom reporting for eight symptoms on the 2008 PDHA (tinnitus, trouble hearing, headache, memory problems, dizziness, dim vision, trouble concentrating, and vomiting) and six symptoms on the 2012 PDHA (tinnitus, trouble hearing, headaches, memory problems, balance problems, and increased irritability), all of which were in the neurological symptom category. Conversely, odds of symptom reporting were higher for Marines experiencing miTBIs (vs. mbTBIs) for seven symptoms on the 2008 PDHA (skin diseases or rashes, chest pain, trouble breathing, persistent cough, red eyes, fever, and other) and one symptom on the 2012 PDHA (skin rash and/or lesion), all of which were in the immunological symptoms category. mbTBI (vs. miTBI) was consistently associated with greater odds of reporting tinnitus, trouble hearing, and memory problems, regardless of PTSD status. CONCLUSIONS These findings support recent research suggesting that the mechanism of injury may play an important role in symptom reporting and/or physiological changes to the brain after concussion. The results of this epidemiological investigation should be used to guide further research on the physiological effects of concussion, diagnostic criteria for neurological injuries, and treatment modalities for various concussion-related symptoms.
Collapse
Affiliation(s)
- Robyn Martin Englert
- Leidos, Military and Vetrans Health Solutions, Reston, VA 20190, USA
- Naval Health Research Center, Health and Behavioral Sciences Department, San Diego, CA 92106, USA
| | - Jennifer N Belding
- Leidos, Military and Vetrans Health Solutions, Reston, VA 20190, USA
- Naval Health Research Center, Health and Behavioral Sciences Department, San Diego, CA 92106, USA
| | - Cynthia J Thomsen
- Naval Health Research Center, Health and Behavioral Sciences Department, San Diego, CA 92106, USA
| |
Collapse
|
35
|
Karimi D, Kebiri H, Gholipour A. TBSS++: A novel computational method for Tract-Based Spatial Statistics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.10.548454. [PMID: 37503293 PMCID: PMC10369867 DOI: 10.1101/2023.07.10.548454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to assess the brain white matter. One of the most common computations in dMRI involves cross-subject tract-specific analysis, whereby dMRI-derived biomarkers are compared between cohorts of subjects. The accuracy and reliability of these studies hinges on the ability to compare precisely the same white matter tracts across subjects. This is an intricate and error-prone computation. Existing computational methods such as Tract-Based Spatial Statistics (TBSS) suffer from a host of shortcomings and limitations that can seriously undermine the validity of the results. We present a new computational framework that overcomes the limitations of existing methods via (i) accurate segmentation of the tracts, and (ii) precise registration of data from different subjects/scans. The registration is based on fiber orientation distributions. To further improve the alignment of cross-subject data, we create detailed atlases of white matter tracts. These atlases serve as an unbiased reference space where the data from all subjects is registered for comparison. Extensive evaluations show that, compared with TBSS, our proposed framework offers significantly higher reproducibility and robustness to data perturbations. Our method promises a drastic improvement in accuracy and reproducibility of cross-subject dMRI studies that are routinely used in neuroscience and medical research.
Collapse
Affiliation(s)
- Davood Karimi
- Computational Radiology Laboratory (CRL), Department of Radiology, Boston Children's Hospital, and Harvard Medical School, USA
| | - Hamza Kebiri
- Computational Radiology Laboratory (CRL), Department of Radiology, Boston Children's Hospital, and Harvard Medical School, USA
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Ali Gholipour
- Computational Radiology Laboratory (CRL), Department of Radiology, Boston Children's Hospital, and Harvard Medical School, USA
| |
Collapse
|
36
|
Lima Santos JP, Jia-Richards M, Kontos AP, Collins MW, Versace A. Emotional Regulation and Adolescent Concussion: Overview and Role of Neuroimaging. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6274. [PMID: 37444121 PMCID: PMC10341732 DOI: 10.3390/ijerph20136274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/16/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023]
Abstract
Emotional dysregulation symptoms following a concussion are associated with an increased risk for emotional dysregulation disorders (e.g., depression and anxiety), especially in adolescents. However, predicting the emergence or worsening of emotional dysregulation symptoms after concussion and the extent to which this predates the onset of subsequent psychiatric morbidity after injury remains challenging. Although advanced neuroimaging techniques, such as functional magnetic resonance imaging and diffusion magnetic resonance imaging, have been used to detect and monitor concussion-related brain abnormalities in research settings, their clinical utility remains limited. In this narrative review, we have performed a comprehensive search of the available literature regarding emotional regulation, adolescent concussion, and advanced neuroimaging techniques in electronic databases (PubMed, Scopus, and Google Scholar). We highlight clinical evidence showing the heightened susceptibility of adolescents to experiencing emotional dysregulation symptoms following a concussion. Furthermore, we describe and provide empirical support for widely used magnetic resonance imaging modalities (i.e., functional and diffusion imaging), which are utilized to detect abnormalities in circuits responsible for emotional regulation. Additionally, we assess how these abnormalities relate to the emotional dysregulation symptoms often reported by adolescents post-injury. Yet, it remains to be determined if a progression of concussion-related abnormalities exists, especially in brain regions that undergo significant developmental changes during adolescence. We conclude that neuroimaging techniques hold potential as clinically useful tools for predicting and, ultimately, monitoring the treatment response to emotional dysregulation in adolescents following a concussion.
Collapse
Affiliation(s)
- João Paulo Lima Santos
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; (M.J.-R.); (A.V.)
| | - Meilin Jia-Richards
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; (M.J.-R.); (A.V.)
| | - Anthony P. Kontos
- Department of Orthopaedic Surgery, UPMC Sports Concussion Program, University of Pittsburgh, Pittsburgh, PA 15213, USA; (A.P.K.); (M.W.C.)
| | - Michael W. Collins
- Department of Orthopaedic Surgery, UPMC Sports Concussion Program, University of Pittsburgh, Pittsburgh, PA 15213, USA; (A.P.K.); (M.W.C.)
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; (M.J.-R.); (A.V.)
| |
Collapse
|
37
|
de Souza N, Esopenko C, Jia Y, Parrott JS, Merkley T, Dennis E, Hillary F, Velez C, Cooper D, Kennedy J, Lewis J, York G, Menefee D, McCauley S, Bowles AO, Wilde E, Tate DF. Discriminating Mild Traumatic Brain Injury and Posttraumatic Stress Disorder Using Latent Neuroimaging and Neuropsychological Profiles in Active-Duty Military Service Members. J Head Trauma Rehabil 2023; 38:E254-E266. [PMID: 36602276 PMCID: PMC10264548 DOI: 10.1097/htr.0000000000000848] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE Mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) commonly occur among military Service Members and Veterans and have heterogenous, but also overlapping symptom presentations, which often complicate the diagnoses of underlying impairments and development of effective treatment plans. Thus, we sought to examine whether the combination of whole brain gray matter (GM) and white matter (WM) structural measures with neuropsychological performance can aid in the classification of military personnel with mTBI and PTSD. METHODS Active-Duty US Service Members ( n = 156; 87.8% male) with a history of mTBI, PTSD, combined mTBI+PTSD, or orthopedic injury completed a neuropsychological battery and T1- and diffusion-weighted structural neuroimaging. Cortical, subcortical, ventricular, and WM volumes and whole brain fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were calculated. Latent profile analyses were performed to determine how the GM and WM indicators, together with neuropsychological indicators, classified individuals. RESULTS For both GM and WM, respectively, a 4-profile model was the best fit. The GM model identified greater ventricular volumes in Service Members with cognitive symptoms, including those with a diagnosis of mTBI, either alone or with PTSD. The WM model identified reduced FA and elevated RD in those with psychological symptoms, including those with PTSD or mTBI and comorbid PTSD. However, contrary to expectation, a global neural signature unique to those with comorbid mTBI and PTSD was not identified. CONCLUSIONS The findings demonstrate that neuropsychological performance alone is more robust in differentiating Active-Duty Service Members with mTBI and PTSD, whereas global neuroimaging measures do not reliably differentiate between these groups.
Collapse
Affiliation(s)
- N.L. de Souza
- School of Graduate Studies, Biomedical Sciences, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - C. Esopenko
- Department of Rehabilitation & Movement Sciences, School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - Y. Jia
- Department of Interdisciplinary Studies, School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - J. S. Parrott
- Department of Interdisciplinary Studies, School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - T.L. Merkley
- Department of Psychology & Neuroscience Center, Brigham Young University, Provo, UT, USA
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - E.L. Dennis
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT
| | - F.G. Hillary
- Department of Psychology, Pennsylvania State University, University Park, PA 16802, United States
- Social Life and Engineering Sciences Imaging Center, University Park, PA 16802, United States
| | - C. Velez
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - D.B. Cooper
- San Antonio VA Polytrauma Rehabilitation Center, San Antonio, TX
- Departments of Rehabilitation Medicine and Psychiatry, UT Health San Antonio, TX
| | - J. Kennedy
- General Dynamics Information Technology (GDIT) contractor for the Traumatic Brain Injury Center of Excellence (TBICoE), Neurology Service, Department of Medicine, Brooke Army Medical Center, Joint Base San Antonio, Fort Sam Houston, TX, USA
| | - J. Lewis
- Neurology Clinic, Wright Patterson Air Force Base, Wright Patterson AFB, Ohio
| | - G. York
- Alaska Radiology Associates, Anchorage, AK
| | - D.S. Menefee
- Michael E. DeBakey VA Medical Center, Houston, TX, USA
- The Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX USA
| | - S.R. McCauley
- Department of Neurology, Baylor College of Medicine, Houston, TX USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX USA
| | - A. O. Bowles
- Brain Injury Rehabilitation Service, Department of Rehabilitation Medicine, Brooke Army Medical Center, Joint Base San Antonio, Fort Sam Houston, TX, US
| | - E.A. Wilde
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX USA
| | - D. F. Tate
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT
| |
Collapse
|
38
|
Brown JC, Goldszer IM, Brooks MC, Milano NJ. An Evaluation of the Emerging Techniques in Sports-Related Concussion. J Clin Neurophysiol 2023; 40:384-390. [PMID: 36930205 PMCID: PMC10329722 DOI: 10.1097/wnp.0000000000000879] [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: 03/18/2023] Open
Abstract
SUMMARY Sports-related concussion is now in public awareness more than ever before. Investigations into underlying pathophysiology and methods of assessment have correspondingly increased at an exponential rate. In this review, we aim to highlight some of the evidence supporting emerging techniques in the fields of neurophysiology, neuroimaging, vestibular, oculomotor, autonomics, head sensor, and accelerometer technology in the setting of the current standard: clinical diagnosis and management. In summary, the evidence we reviewed suggests that (1) head impact sensors and accelerometers may detect possible concussions that would not otherwise receive evaluation; (2) clinical diagnosis may be aided by sideline vestibular, oculomotor, and portable EEG techniques; (3) clinical decisions on return-to-play eligibility are currently not sensitive at capturing the neurometabolic, cerebrovascular, neurophysiologic, and microstructural changes that biomarkers have consistently detected days and weeks after clinical clearance. Such biomarkers include heart rate variability, quantitative electroencephalography, as well as functional, metabolic, and microstructural neuroimaging. The current challenge is overcoming the lack of consistency and replicability of any one particular technique to reach consensus.
Collapse
Affiliation(s)
- Joshua C. Brown
- Dept. of Neurology, Medical University of South Carolina
- Dept. of Psychiatry and Behavioral Sciences, Medical University of South Carolina
- Department of Psychiatry and Human Behavior, Department of Neurology, Alpert Medical School of Brown University
| | | | | | | |
Collapse
|
39
|
Esopenko C, Sollmann N, Bonke EM, Wiegand TLT, Heinen F, de Souza NL, Breedlove KM, Shenton ME, Lin AP, Koerte IK. Current and Emerging Techniques in Neuroimaging of Sport-Related Concussion. J Clin Neurophysiol 2023; 40:398-407. [PMID: 36930218 PMCID: PMC10329721 DOI: 10.1097/wnp.0000000000000864] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
SUMMARY Sport-related concussion (SRC) affects an estimated 1.6 to 3.8 million Americans each year. Sport-related concussion results from biomechanical forces to the head or neck that lead to a broad range of neurologic symptoms and impaired cognitive function. Although most individuals recover within weeks, some develop chronic symptoms. The heterogeneity of both the clinical presentation and the underlying brain injury profile make SRC a challenging condition. Adding to this challenge, there is also a lack of objective and reliable biomarkers to support diagnosis, to inform clinical decision making, and to monitor recovery after SRC. In this review, the authors provide an overview of advanced neuroimaging techniques that provide the sensitivity needed to capture subtle changes in brain structure, metabolism, function, and perfusion after SRC. This is followed by a discussion of emerging neuroimaging techniques, as well as current efforts of international research consortia committed to the study of SRC. Finally, the authors emphasize the need for advanced multimodal neuroimaging to develop objective biomarkers that will inform targeted treatment strategies after SRC.
Collapse
Affiliation(s)
- Carrie Esopenko
- Department of Rehabilitation and Movement Sciences, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - Nico Sollmann
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Elena M. Bonke
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
| | - Tim L. T. Wiegand
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Felicitas Heinen
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Nicola L. de Souza
- School of Graduate Studies, Biomedical Sciences, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - Katherine M. Breedlove
- Center for Clinical Spectroscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Brockton Division, Brockton, MA, USA
| | - Alexander P. Lin
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Clinical Spectroscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Inga K. Koerte
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
40
|
Berger L, Holshouser B, Nichols JG, Pivonka-Jones J, Ashwal S, Bartnik-Olson B. White Matter Metabolite Ratios Predict Cognitive Outcome in Pediatric Traumatic Brain Injury. Metabolites 2023; 13:778. [PMID: 37512485 PMCID: PMC10385309 DOI: 10.3390/metabo13070778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/15/2023] [Accepted: 06/17/2023] [Indexed: 07/30/2023] Open
Abstract
The prognostic ability of global white matter and gray matter metabolite ratios following pediatric traumatic brain injury (TBI) and their relationship to 12-month neuropsychological assessments of intelligence quotient (IQ), attention, and memory is presented. Three-dimensional proton magnetic resonance spectroscopic imaging (MRSI) in pediatric subjects with complicated mild (cMild), moderate, and severe TBI was acquired acutely (6-18 days) and 12 months post-injury and compared to age-matched typically developing adolescents. A global linear regression model, co-registering MRSI metabolite maps with 3D high-resolution magnetic resonance images, was used to identify longitudinal white matter and gray matter metabolite ratio changes. Acutely, gray matter NAA/Cr, white matter NAA/Cr, and white matter NAA/Cho ratios were significantly lower in TBI groups compared to controls. Gray matter NAA/Cho was reduced only in the severe TBI group. At 12 months, all metabolite ratios normalized to control levels in each of the TBI groups. Acute gray matter and white matter NAA ratios were significantly correlated to 12-month assessments of IQ, attention, and memory. These findings suggest that whole brain gray matter and white matter metabolite ratios reflect longitudinal changes in neuronal metabolism following TBI, which can be used to predict neuropsychological outcomes in pediatric subjects.
Collapse
Affiliation(s)
- Luke Berger
- School of Medicine, Loma Linda University, Loma Linda, CA 92354, USA
| | - Barbara Holshouser
- Department of Radiology, Loma Linda University Health, Loma Linda, CA 92354, USA
| | - Joy G Nichols
- Department of Pediatrics, Loma Linda University Health, Loma Linda, CA 92354, USA
| | - Jamie Pivonka-Jones
- Department of Pediatrics, Loma Linda University Health, Loma Linda, CA 92354, USA
| | - Stephen Ashwal
- Department of Pediatrics, Loma Linda University Health, Loma Linda, CA 92354, USA
- Division of Child Neurology, Loma Linda University Health, Loma Linda, CA 92354, USA
| | - Brenda Bartnik-Olson
- Department of Radiology, Loma Linda University Health, Loma Linda, CA 92354, USA
| |
Collapse
|
41
|
Angelova P, Kehayov I, Ordonez-Rubiano EG, Figueredo LF, Zlatareva D. Long-term Tractography Evaluation of Corpus Callosum Impairment After Severe Traumatic Brain Injury in Patients With Isolated Intraventricular Hemorrhage on Admission CT: Two Illustrative Cases and a Literature Review. Korean J Neurotrauma 2023; 19:249-257. [PMID: 37431372 PMCID: PMC10329887 DOI: 10.13004/kjnt.2023.19.e27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/20/2023] [Accepted: 04/08/2023] [Indexed: 07/12/2023] Open
Abstract
Severe traumatic brain injury (TBI) is often associated with diffuse axonal injury. Diffuse axonal injury affecting the corpus callosum may present with intraventricular hemorrhage on baseline computed tomography (CT) scan. Posttraumatic corpus callosum damage is a chronic condition that can be diagnosed over the long term using various magnetic resonance imaging (MRI) sequences. Here, we present two cases of severe survivors of TBI with isolated intraventricular hemorrhage detected on an initial CT scan. After acute trauma management, long-term follow-up was performed. Diffusion tensor imaging and subsequent tractography revealed a significant decrease in the fractional anisotropy values and the number of corpus callosum fibers compared with those in healthy control patients. This study presents a possible correlation between traumatic intraventricular hemorrhage on admission CT and long-term corpus callosum impairment detected on MRI in patients with severe head injury by presenting demonstrative cases and conducting a literature review.
Collapse
Affiliation(s)
- Polina Angelova
- Department of Neurosurgery, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Ivo Kehayov
- Department of Neurosurgery, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Edgar G. Ordonez-Rubiano
- Department of Neurosurgery, Hospital de San José – Sociedad de Cirugía de Bogotá, Fundación Universitaria de Ciencias de la Salud, Bogotá D.C., Colombia
| | - Luisa F. Figueredo
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | - Dora Zlatareva
- Department of Diagnostic Imaging, Medical University of Sofia, Sofia, Bulgaria
- Research Complex for Translational Neuroscience, Medical University of Plovdiv, Plovdiv, Bulgaria
| |
Collapse
|
42
|
Ware AL, Onicas AI, Abdeen N, Beauchamp MH, Beaulieu C, Bjornson BH, Craig W, Dehaes M, Deschenes S, Doan Q, Freedman SB, Goodyear BG, Gravel J, Ledoux AA, Zemek R, Yeates KO, Lebel C. Altered longitudinal structural connectome in paediatric mild traumatic brain injury: an Advancing Concussion Assessment in Paediatrics study. Brain Commun 2023; 5:fcad173. [PMID: 37324241 PMCID: PMC10265725 DOI: 10.1093/braincomms/fcad173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 04/18/2023] [Accepted: 05/30/2023] [Indexed: 06/17/2023] Open
Abstract
Advanced diffusion-weighted imaging techniques have increased understanding of the neuropathology of paediatric mild traumatic brain injury (i.e. concussion). Most studies have examined discrete white-matter pathways, which may not capture the characteristically subtle, diffuse and heterogenous effects of paediatric concussion on brain microstructure. This study compared the structural connectome of children with concussion to those with mild orthopaedic injury to determine whether network metrics and their trajectories across time post-injury differentiate paediatric concussion from mild traumatic injury more generally. Data were drawn from of a large study of outcomes in paediatric concussion. Children aged 8-16.99 years were recruited from five paediatric emergency departments within 48 h of sustaining a concussion (n = 360; 56% male) or mild orthopaedic injury (n = 196; 62% male). A reliable change score was used to classify children with concussion into two groups: concussion with or without persistent symptoms. Children completed 3 T MRI at post-acute (2-33 days) and/or chronic (3 or 6 months, via random assignment) post-injury follow-ups. Diffusion-weighted images were used to calculate the diffusion tensor, conduct deterministic whole-brain fibre tractography and compute connectivity matrices in native (diffusion) space for 90 supratentorial regions. Weighted adjacency matrices were constructed using average fractional anisotropy and used to calculate global and local (regional) graph theory metrics. Linear mixed effects modelling was performed to compare groups, correcting for multiple comparisons. Groups did not differ in global network metrics. However, the clustering coefficient, betweenness centrality and efficiency of the insula, cingulate, parietal, occipital and subcortical regions differed among groups, with differences moderated by time (days) post-injury, biological sex and age at time of injury. Post-acute differences were minimal, whereas more robust alterations emerged at 3 and especially 6 months in children with concussion with persistent symptoms, albeit differently by sex and age. In the largest neuroimaging study to date, post-acute regional network metrics distinguished concussion from mild orthopaedic injury and predicted symptom recovery 1-month post-injury. Regional network parameters alterations were more robust and widespread at chronic timepoints than post-acutely after concussion. Results suggest that increased regional and local subnetwork segregation (modularity) and inefficiency occurs across time after concussion, emerging after post-concussive symptom resolve in most children. These differences persist up to 6 months after concussion, especially in children who showed persistent symptoms. While prognostic, the small to modest effect size of group differences and the moderating effects of sex likely would preclude effective clinical application in individual patients.
Collapse
Affiliation(s)
- Ashley L Ware
- Correspondence to: Ashley L. Ware, PhD Department of Psychology, Georgia State University 140 Decatur Street SE, Atlanta, GA 30303, USA E-mail:
| | - Adrian I Onicas
- Department of Psychology, University of Calgary, Calgary, AB T2N 0V2, Canada
- Computer Vision Group, Sano Centre for Computational Medicine, Kraków 30-054, Poland
| | - Nishard Abdeen
- Department of Radiology, Children’s Hospital of Eastern Ontario Research Institute, University of Ottawa,Ottawa, ON, Canada K1H 8L1
| | - Miriam H Beauchamp
- Department of Psychology, University of Montreal and CHU Sainte-Justine Hospital Research Center, Montréal, QC, Canada H3C 3J7
| | - Christian Beaulieu
- Department of Biomedical Engineering, 1098 Research Transition Facility, University of Alberta, Edmonton, AB, Canada T6G 2V2
| | - Bruce H Bjornson
- Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada V6H 3V4
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada V6H 3V4
| | - William Craig
- University of Alberta and Stollery Children’s Hospital, Edmonton, AB, Canada T6G 1C9
| | - Mathieu Dehaes
- Department of Radiology, Radio-oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal, Montréal, QC, Canada H3T1J4
- CHU Sainte-Justine Research Center, Montréal, QC, Canada H3T1C5
| | - Sylvain Deschenes
- CHU Sainte-Justine Research Center, Montréal, QC, Canada H3T1C5
- Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Montréal, QC, CHU Sainte-Justine Research Center, Montréal, QC, Canada H3T1C5
| | - Quynh Doan
- Department of Pediatrics University of British Columbia, BC Children’s Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Stephen B Freedman
- Departments of Pediatric and Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada T3B 6A8
| | - Bradley G Goodyear
- Alberta Children's Hospital Research Institute and Hotchkiss Brain Institute, University of Calgary, AB T2N 0V2, Canada
- Department of Radiology, University of Calgary, Calgary, AB T2N 0V2, Canada
| | - Jocelyn Gravel
- Pediatric Emergency Department, CHU Sainte-Justine, Montréal, QC H3T1C5, Canada
- Department of Pediatric, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Andrée-Anne Ledoux
- Department of Cellular Molecular Medicine, University of Ottawa, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada K1H8L1
| | - Roger Zemek
- Department of Pediatrics and Emergency Medicine, University of Ottawa, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada K1H8L1
| | | | | |
Collapse
|
43
|
Kanakaraj P, Cai LY, Rheault F, Yehe FC, Rogers BP, Schilling KG, Landman BA. Mapping the impact of nonlinear gradient fields with noise on diffusion MRI. Magn Reson Imaging 2023; 98:124-131. [PMID: 36632947 DOI: 10.1016/j.mri.2023.01.004] [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: 10/24/2022] [Accepted: 01/06/2023] [Indexed: 01/11/2023]
Abstract
In diffusion MRI, gradient nonlinearities cause spatial variations in the magnitude and direction of diffusion gradients. Studies have shown artifacts from these distortions can results in biased diffusion tensor information and tractography. Here, we investigate the impact of gradient nonlinearity correction in the presence of noise. We introduced empirically derived gradient nonlinear fields at different signal-to-noise ratio (SNR) levels in two experiments: tensor field simulation and simulation of the brain. For each experiment, this work compares two techniques empirically: voxel-wise gradient table correction and approximate correction by scaling the signal directly. The impact was assessed through diffusion metrics including mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and principal eigen vector (V1). The study shows (1) the correction of gradient nonlinearities will not lead to substantively incorrect estimation of diffusion metrics in a linear system, (2) gradient nonlinearity correction does not interact adversely with noise, (3) nonlinearity correction suppresses the impact of nonlinearities in typical SNR data, (4) for SNR below 30, the performance of both the gradient nonlinearity correction techniques were similar, and (5) larger impacts are seen in regions where the gradient nonlinearities are distinct. Thus, this study suggests that there were greater beneficial effects than adverse effects due to the correction of nonlinearities. Additionally, correction of nonlinearities is recommended when region of interests are in areas with pronounced nonlinearities.
Collapse
Affiliation(s)
| | - Leon Y Cai
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
| | - Francois Rheault
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, Québec, Canada; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
| | - Fang-Cheng Yehe
- Department of Neurological Surgery, University of Pittsburg, School of Medicine, Pittsburg, PA, USA.
| | - Baxter P Rogers
- Vanderbilt University Institute for Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Kurt G Schilling
- Vanderbilt University Institute for Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Bennett A Landman
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute for Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Services, Vanderbilt University Medical Center, Vanderbilt University Medical, Nashville, TN, USA.
| |
Collapse
|
44
|
Grant M, Liu J, Wintermark M, Bagci U, Douglas D. Current State of Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Traumatic Brain Injury Prognostication. Neuroimaging Clin N Am 2023; 33:279-297. [PMID: 36965946 DOI: 10.1016/j.nic.2023.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2023]
Abstract
Advanced imaging techniques are needed to assist in providing a prognosis for patients with traumatic brain injury (TBI), particularly mild TBI (mTBI). Diffusion tensor imaging (DTI) is one promising advanced imaging technique, but has shown variable results in patients with TBI and is not without limitations, especially when considering individual patients. Efforts to resolve these limitations are being explored and include developing advanced diffusion techniques, creating a normative database, improving study design, and testing machine learning algorithms. This article will review the fundamentals of DTI, providing an overview of the current state of its utility in evaluating and providing prognosis in patients with TBI.
Collapse
Affiliation(s)
- Matthew Grant
- Department of Radiology, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA; Department of Radiology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD 20814, USA; Department of Radiology, Landstuhl Regional Medical Center, Dr Hitzelberger Straße, 66849 Landstuhl, Germany.
| | - JiaJing Liu
- Department of Radiology, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA
| | - Max Wintermark
- Department of Radiology, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA; Neuroradiology Department, The University of Texas Anderson Cancer Center, 1400 Pressler Street, Unit 1482, Houston, TX 77030, USA
| | - Ulas Bagci
- Radiology and Biomedical Engineering Department, Northwestern University, 737 North Michigan Drive, Suite 1600, Chicago, IL 60611, USA; Department of Computer Science, University of Central Florida, 4328 Scorpius Street, Orlando, Florida, 32816
| | - David Douglas
- Department of Radiology, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA; Department of Radiology, 96th Medical Group, Eglin Air Force Base, 307 Boatner Road, Eglin Air Force Base, Florida 32542, USA
| |
Collapse
|
45
|
Beaudouin F, Tröss T, Hadji A, Steendahl IB, Meyer T, Fünten KAD. Do Sports-related Concussions Induce Subsequent Injuries in Elite Male Football Players? Int J Sports Med 2023. [PMID: 36347430 DOI: 10.1055/a-1974-3965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
To assess the players' risk of a subsequent injury after sustaining concussive injuries and their return-to-competition in German professional men's football. A prospective injury database in the 1st Bundesliga was created encompassing 7 seasons (2014/15-2020/21). Cox proportional hazard model analyzed whether a concussive injury increased the risk of a subsequent injury in the first year after the index injury. 6,651 injuries were reported (n=182 concussive injuries). The incidence rate was 0.15 (95% CI 0.13-0.17) per 1000 football hours. A concussive injury was associated with only a slightly numerical higher risk of 7% (HR=1.07, 95% CI 0.78-1.47) in the subsequent year after the injury compared to a randomly selected non-concussive injury, but the effect was not significant. The risk was higher after 6-12 months post-SRC reaching 70% (HR=1.70, 95% CI 1.15-2.52). For 0-3 months (HR=0.76, 95% CI 0.48-1.20) and 3-6 months (HR=0.97, 95% CI 0.62-1.50) the injury risk was lower. The present data do not confirm previously published investigations about an increased injury risk after SRC. Contrasting effects of lower hazard ratios were found early after SRC, followed by an increase after 6-12 months. Further research should look into compliance rates with regards to return-to-competition protocols.
Collapse
Affiliation(s)
- Florian Beaudouin
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Tobias Tröss
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Abed Hadji
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Ida Bo Steendahl
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Tim Meyer
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Karen Aus der Fünten
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| |
Collapse
|
46
|
Rojczyk P, Seitz-Holland J, Kaufmann E, Sydnor VJ, Kim CL, Umminger LF, Wiegand TLT, Guenette JP, Zhang F, Rathi Y, Bouix S, Pasternak O, Fortier CB, Salat D, Hinds SR, Heinen F, O’Donnell LJ, Milberg WP, McGlinchey RE, Shenton ME, Koerte IK. Sleep Quality Disturbances Are Associated with White Matter Alterations in Veterans with Post-Traumatic Stress Disorder and Mild Traumatic Brain Injury. J Clin Med 2023; 12:2079. [PMID: 36902865 PMCID: PMC10004675 DOI: 10.3390/jcm12052079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/09/2023] Open
Abstract
Sleep disturbances are strongly associated with mild traumatic brain injury (mTBI) and post-traumatic stress disorder (PTSD). PTSD and mTBI have been linked to alterations in white matter (WM) microstructure, but whether poor sleep quality has a compounding effect on WM remains largely unknown. We evaluated sleep and diffusion magnetic resonance imaging (dMRI) data from 180 male post-9/11 veterans diagnosed with (1) PTSD (n = 38), (2) mTBI (n = 25), (3) comorbid PTSD+mTBI (n = 94), and (4) a control group with neither PTSD nor mTBI (n = 23). We compared sleep quality (Pittsburgh Sleep Quality Index, PSQI) between groups using ANCOVAs and calculated regression and mediation models to assess associations between PTSD, mTBI, sleep quality, and WM. Veterans with PTSD and comorbid PTSD+mTBI reported poorer sleep quality than those with mTBI or no history of PTSD or mTBI (p = 0.012 to <0.001). Poor sleep quality was associated with abnormal WM microstructure in veterans with comorbid PTSD+mTBI (p < 0.001). Most importantly, poor sleep quality fully mediated the association between greater PTSD symptom severity and impaired WM microstructure (p < 0.001). Our findings highlight the significant impact of sleep disturbances on brain health in veterans with PTSD+mTBI, calling for sleep-targeted interventions.
Collapse
Affiliation(s)
- Philine Rojczyk
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Elisabeth Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
- Department of Neurology, Ludwig-Maximilians-University, 81377 Munich, Germany
| | - Valerie J. Sydnor
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
| | - Cara L. Kim
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Lisa F. Umminger
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Tim L. T. Wiegand
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Jeffrey P. Guenette
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Software Engineering and IT, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Catherine B. Fortier
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | - David Salat
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, 02115 MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Department of Radiology, Boston, MA 02129, USA
| | - Sidney R. Hinds
- Department of Neurology, Uniformed Services University, Bethesda, MD 20814, USA
| | - Florian Heinen
- Department of Pediatric Neurology and Developmental Medicine and LMU Center for Children with Medical Complexity, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians-University, 80337 Munich, Germany
| | - Lauren J. O’Donnell
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - William P. Milberg
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, 02115 MA, USA
| | - Regina E. McGlinchey
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, 02115 MA, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Inga K. Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, 80336 Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University, 82152 Munich, Germany
| |
Collapse
|
47
|
Koerte IK, Wiegand TLT, Bonke EM, Kochsiek J, Shenton ME. Diffusion Imaging of Sport-related Repetitive Head Impacts-A Systematic Review. Neuropsychol Rev 2023; 33:122-143. [PMID: 36508043 PMCID: PMC9998592 DOI: 10.1007/s11065-022-09566-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 11/10/2022] [Indexed: 12/14/2022]
Abstract
Repetitive head impacts (RHI) are commonly observed in athletes participating in contact sports such as American football, ice hockey, and soccer. RHI usually do not result in acute symptoms and are therefore often referred to as subclinical or "subconcussive" head impacts. Epidemiological studies report an association between exposure to RHI and an increased risk for the development of neurodegenerative diseases. Diffusion magnetic resonance imaging (dMRI) has emerged as particularly promising for the detection of subtle alterations in brain microstructure following exposure to sport-related RHI. The purpose of this study was to perform a systematic review of studies investigating the effects of exposure to RHI on brain microstructure using dMRI. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to determine studies that met inclusion and exclusion criteria across three databases. Seventeen studies were identified and critically evaluated. Results from these studies suggest an association between white matter alterations and RHI exposure in youth and young adult athletes. The most consistent finding across studies was lower or decreased fractional anisotropy (FA), a measure of the directionality of the diffusion of water molecules, associated with greater exposure to sport-related RHI. Whether decreased FA is associated with functional outcome (e.g., cognition) in those exposed to RHI is yet to be determined. This review further identified areas of importance for future research to increase the diagnostic and prognostic value of dMRI in RHI and to improve our understanding of the effects of RHI on brain physiology and microstructure.
Collapse
Affiliation(s)
- Inga K Koerte
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany. .,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, 02115, USA. .,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany.
| | - Tim L T Wiegand
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany.,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, 02115, USA
| | - Elena M Bonke
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany.,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, 02115, USA.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
| | - Janna Kochsiek
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany.,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, 02115, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, 02115, USA.,Department of Radiology, Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
48
|
Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature. Neuropsychol Rev 2023; 33:42-121. [PMID: 33721207 DOI: 10.1007/s11065-021-09485-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
There is evidence that diffusion-weighted imaging (DWI) is able to detect tissue alterations following mild traumatic brain injury (mTBI) that may not be observed on conventional neuroimaging; however, findings are often inconsistent between studies. This systematic review assesses patterns of differences in DWI metrics between those with and without a history of mTBI. A PubMed literature search was performed using relevant indexing terms for articles published prior to May 14, 2020. Findings were limited to human studies using DWI in mTBI. Articles were excluded if they were not full-length, did not contain original data, if they were case studies, pertained to military populations, had inadequate injury severity classification, or did not report post-injury interval. Findings were reported independently for four subgroups: acute/subacute pediatric mTBI, acute/subacute adult mTBI, chronic adult mTBI, and sport-related concussion, and all DWI acquisition and analysis methods used were included. Patterns of findings between studies were reported, along with strengths and weaknesses of the current state of the literature. Although heterogeneity of sample characteristics and study methods limited the consistency of findings, alterations in DWI metrics were most commonly reported in the corpus callosum, corona radiata, internal capsule, and long association pathways. Many acute/subacute pediatric studies reported higher FA and lower ADC or MD in various regions. In contrast, acute/subacute adult studies most commonly indicate lower FA within the context of higher MD and RD. In the chronic phase of recovery, FA may remain low, possibly indicating overall demyelination or Wallerian degeneration over time. Longitudinal studies, though limited, generally indicate at least a partial normalization of DWI metrics over time, which is often associated with functional improvement. We conclude that DWI is able to detect structural mTBI-related abnormalities that may persist over time, although future DWI research will benefit from larger samples, improved data analysis methods, standardized reporting, and increasing transparency.
Collapse
|
49
|
Stenberg J, Skandsen T, Gøran Moen K, Vik A, Eikenes L, Håberg AK. Diffusion Tensor and Kurtosis Imaging Findings the First Year following Mild Traumatic Brain Injury. J Neurotrauma 2023; 40:457-471. [PMID: 36305387 PMCID: PMC9986024 DOI: 10.1089/neu.2022.0206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Despite enormous research interest in diffusion tensor imaging and diffusion kurtosis imaging (DTI; DKI) following mild traumatic brain injury (MTBI), it remains unknown how diffusion in white matter evolves post-injury and relates to acute MTBI characteristics. This prospective cohort study aimed to characterize diffusion changes in white matter the first year after MTBI. Patients with MTBI (n = 193) and matched controls (n = 83) underwent 3T magnetic resonance imaging (MRI) within 72 h and 3- and 12-months post-injury. Diffusion data were analyzed in three steps: 1) voxel-wise comparisons between the MTBI and control group were performed with tract-based spatial statistics at each time-point; 2) clusters of significant voxels identified in step 1 above were evaluated longitudinally with mixed-effect models; 3) the MTBI group was divided into: (A) complicated (with macrostructural findings on MRI) and uncomplicated MTBI; (B) long (1-24 h) and short (< 1 h) post-traumatic amnesia (PTA); and (C) other and no other concurrent injuries to investigate if findings in step 1 were driven mainly by aberrant diffusion in patients with a more severe injury. At 72 h, voxel-wise comparisons revealed significantly lower fractional anisotropy (FA) in one tract and significantly lower mean kurtosis (Kmean) in 11 tracts in the MTBI compared with control group. At 3 months, the MTBI group had significantly higher mean diffusivity in eight tracts compared with controls. At 12 months, FA was significantly lower in four tracts and Kmean in 10 tracts in patients with MTBI compared with controls. There was considerable overlap in affected tracts across time, including the corpus callosum, corona radiata, internal and external capsule, and cerebellar peduncles. Longitudinal analyses revealed that the diffusion metrics remained relatively stable throughout the first year after MTBI. The significant group*time interactions identified were driven by changes in the control rather than the MTBI group. Further, differences identified in step 1 did not result from greater diffusion abnormalities in patients with complicated MTBI, long PTA, or other concurrent injuries, as standardized mean differences in diffusion metrics between the groups were small (0.07 ± 0.11) and non-significant. However, follow-up voxel-wise analyses revealed that other concurrent injuries had effects on diffusion metrics, but predominantly in other metrics and at other time-points than the effects observed in the MTBI versus control group analysis. In conclusion, patients with MTBI differed from controls in white matter integrity already 72 h after injury. Diffusion metrics remained relatively stable throughout the first year after MTBI and were not driven by deviating diffusion in patients with a more severe MTBI.
Collapse
Affiliation(s)
- Jonas Stenberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Toril Skandsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kent Gøran Moen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Radiology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway.,Department of Radiology, Nord-Trøndelag Hospital Trust, Levanger Hospital, Levanger, Norway
| | - Anne Vik
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Live Eikenes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| |
Collapse
|
50
|
Behavioral-play familiarization for non-sedated magnetic resonance imaging in young children with mild traumatic brain injury. Pediatr Radiol 2023; 53:1153-1162. [PMID: 36823374 DOI: 10.1007/s00247-023-05592-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/19/2022] [Accepted: 01/10/2023] [Indexed: 02/25/2023]
Abstract
BACKGROUND Mild traumatic brain injury (mTBI) sustained in early childhood affects the brain at a peak developmental period and may disrupt sensitive stages of skill acquisition, thereby compromising child functioning. However, due to the challenges of collecting non-sedated neuroimaging data in young children, the consequences of mTBI on young children's brains have not been systematically studied. In typically developing preschool children (of age 3-5years), a brief behavioral-play familiarization provides an effective alternative to sedation for acquiring awake magnetic resonance imaging (MRI) in a time- and resource-efficient manner. To date, no study has applied such an approach for acquiring non-sedated MRI in preschool children with mTBI who may present with additional MRI acquisition challenges such as agitation or anxiety. OBJECTIVE The present study aimed to compare the effectiveness of a brief behavioral-play familiarization for acquiring non-sedated MRI for research purposes between young children with and without mTBI, and to identify factors associated with successful MRI acquisition. MATERIALS AND METHODS Preschool children with mTBI (n=13) and typically developing children (n=24) underwent a 15-minutes behavioral-play MRI familiarization followed by a 35-minutes non-sedated MRI protocol. Success rate was compared between groups, MRI quality was assessed quantitatively, and factors predicting success were documented. RESULTS Among the 37 participants, 15 typically developing children (63%) and 10 mTBI (77%) reached the MRI acquisition success criteria (i.e., completing the two first sequences). The success rate was not significantly different between groups (p=.48; 95% CI [-0.36 14.08]; Cramer's V=.15). The images acquired were of high-quality in 100% (for both groups) of the structural images, and 60% (for both groups) of the diffusion images. Factors associated with success included older child age (Β=0.73, p=.007, exp(B)=3.11, 95% CI [1.36 7.08]) and fewer parental concerns (Β=-1.56, p=.02, exp(Β)=0.21, 95% CI [0.05 0.82]) about the MRI procedure. CONCLUSION Using brief behavioral-play familiarization allows acquisition of high-quality non-sedated MRI in young children with mTBI with success rates comparable to those of non-injured peers.
Collapse
|