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Sultana T, Hasan MA, Kang X, Liou-Johnson V, Adamson MM, Razi A. Neural mechanisms of emotional health in traumatic brain injury patients undergoing rTMS treatment. Mol Psychiatry 2023; 28:5150-5158. [PMID: 37414927 DOI: 10.1038/s41380-023-02159-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 06/16/2023] [Accepted: 06/22/2023] [Indexed: 07/08/2023]
Abstract
Emotional dysregulation such as that seen in depression, are a long-term consequence of mild traumatic brain injury (TBI), that can be improved by using neuromodulation treatments such as repetitive transcranial magnetic stimulation (rTMS). Previous studies provide insights into the changes in functional connectivity related to general emotional health after the application of rTMS procedures in patients with TBI. However, these studies provide little understanding of the underlying neuronal mechanisms that drive the improvement of the emotional health in these patients. The current study focuses on inferring the effective (causal) connectivity changes and their association with emotional health, after rTMS treatment of cognitive problems in TBI patients (N = 32). Specifically, we used resting state functional magnetic resonance imaging (fMRI) together with spectral dynamic causal model (spDCM) to investigate changes in brain effective connectivity, before and after the application of high frequency (10 Hz) rTMS over left dorsolateral prefrontal cortex. We investigated the effective connectivity of the cortico-limbic network comprised of 11 regions of interest (ROIs) which are part of the default mode, salience, and executive control networks, known to be implicated in emotional processing. The results indicate that overall, among extrinsic connections, the strength of excitatory connections decreased while that of inhibitory connections increased after the neuromodulation. The cardinal region in the analysis was dorsal anterior cingulate cortex (dACC) which is considered to be the most influenced during emotional health disorders. Our findings implicate the altered connectivity of dACC with left anterior insula and medial prefrontal cortex, after the application of rTMS, as a potential neural mechanism underlying improvement of emotional health. Our investigation highlights the importance of these brain regions as treatment targets in emotional processing in TBI.
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Affiliation(s)
- Tajwar Sultana
- Department of Computer and Information Systems Engineering, NED University of Engineering & Technology, Karachi, 75270, Pakistan
- Department of Biomedical Engineering, NED University of Engineering & Technology, Karachi, 75270, Pakistan
- Neurocomputation Laboratory, National Centre of Artificial Intelligence, Peshawar, Pakistan
| | - Muhammad Abul Hasan
- Department of Biomedical Engineering, NED University of Engineering & Technology, Karachi, 75270, Pakistan
- Neurocomputation Laboratory, National Centre of Artificial Intelligence, Peshawar, Pakistan
| | - Xiaojian Kang
- WRIISC-WOMEN, VA Palo Alto Healthcare System, Palo Alto, CA, 94304, USA
- Rehabilitation Service, Veterans Affairs Palo Alto Healthcare System (VAPAHCS), 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
| | - Victoria Liou-Johnson
- Rehabilitation Service, Veterans Affairs Palo Alto Healthcare System (VAPAHCS), 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
- Clinical Excellence Research Center, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Maheen Mausoof Adamson
- WRIISC-WOMEN, VA Palo Alto Healthcare System, Palo Alto, CA, 94304, USA
- Rehabilitation Service, Veterans Affairs Palo Alto Healthcare System (VAPAHCS), 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, 3800, Australia.
- Wellcome Centre for Human Neuroimaging, University College London, WC1N 3AR, London, United Kingdom.
- CIFAR Azrieli Global Scholars Program, CIFAR, Toronto, ON, Canada.
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Li LM, Carson A, Dams-O'Connor K. Psychiatric sequelae of traumatic brain injury - future directions in research. Nat Rev Neurol 2023; 19:556-571. [PMID: 37591931 DOI: 10.1038/s41582-023-00853-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2023] [Indexed: 08/19/2023]
Abstract
Despite growing appreciation that traumatic brain injury (TBI) is an important public health burden, our understanding of the psychiatric and behavioural consequences of TBI remains limited. These changes are particularly detrimental to a person's sense of self, their relationships and their participation in the wider community, and they continue to have devastating individual and cumulative effects long after TBI. This Review relates specifically to TBIs that confer objective clinical or biomarker evidence of structural brain injury; symptomatic head injuries without such evidence are outside the scope of this article. Common psychiatric, affective and behavioural sequelae of TBI and their proposed underlying mechanisms are outlined, along with a brief overview of current treatments. Suggestions for how scientists and clinicians can work together in the future to address the chasms in clinical care and knowledge are discussed in depth.
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Affiliation(s)
- Lucia M Li
- Department of Brain Sciences, Imperial College London, London, UK.
| | - Alan Carson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kristen Dams-O'Connor
- Brain Injury Research Center, Department of Rehabilitation and Human Performance, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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3
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Dong W, Gong F, Zhao Y, Bai H, Yang R. Ferroptosis and mitochondrial dysfunction in acute central nervous system injury. Front Cell Neurosci 2023; 17:1228968. [PMID: 37622048 PMCID: PMC10445767 DOI: 10.3389/fncel.2023.1228968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 07/20/2023] [Indexed: 08/26/2023] Open
Abstract
Acute central nervous system injuries (ACNSI), encompassing traumatic brain injury (TBI), non-traumatic brain injury like stroke and encephalomeningitis, as well as spinal cord injuries, are linked to significant rates of disability and mortality globally. Nevertheless, effective and feasible treatment plans are still to be formulated. There are primary and secondary injuries occurred after ACNSI. Most ACNSIs exhibit comparable secondary injuries, which offer numerous potential therapeutic targets for enhancing clinical outcomes. Ferroptosis, a newly discovered form of cell death, is characterized as a lipid peroxidation process that is dependent on iron and oxidative conditions, which is also indispensable to mitochondria. Ferroptosis play a vital role in many neuropathological pathways, and ACNSIs may induce mitochondrial dysfunction, thereby indicating the essentiality of the mitochondrial connection to ferroptosis in ACNSIs. Nevertheless, there remains a lack of clarity regarding the involvement of mitochondria in the occurrence of ferroptosis as a secondary injuries of ACNSIs. In recent studies, anti-ferroptosis agents such as the ferroptosis inhibitor Ferrostain-1 and iron chelation therapy have shown potential in ameliorating the deleterious effects of ferroptosis in cases of traumatic ACNSI. The importance of this evidence is extremely significant in relation to the research and control of ACNSIs. Therefore, our review aims to provide researchers focusing on enhancing the therapeutic outcomes of ACNSIs with valuable insights by summarizing the physiopathological mechanisms of ACNSIs and exploring the correlation between ferroptosis, mitochondrial dysfunction, and ACNSIs.
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Affiliation(s)
- Wenxue Dong
- Department of Neurosurgery, General Hospital of Southern Theatre Command of PLA, Guangzhou, China
| | - Fanghe Gong
- Department of Neurosurgery, General Hospital of Southern Theatre Command of PLA, Guangzhou, China
| | - Yu Zhao
- School of Medicine, Xizang Minzu University, Xianyang, China
| | - Hongmin Bai
- Department of Neurosurgery, General Hospital of Southern Theatre Command of PLA, Guangzhou, China
| | - Ruixin Yang
- Department of Neurosurgery, General Hospital of Southern Theatre Command of PLA, Guangzhou, China
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Siddiqi SH, Kandala S, Hacker CD, Bouchard H, Leuthardt EC, Corbetta M, Morey RA, Brody DL. Precision functional MRI mapping reveals distinct connectivity patterns for depression associated with traumatic brain injury. Sci Transl Med 2023; 15:eabn0441. [PMID: 37406139 DOI: 10.1126/scitranslmed.abn0441] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 06/16/2023] [Indexed: 07/07/2023]
Abstract
Depression associated with traumatic brain injury (TBI) is believed to be clinically distinct from primary major depressive disorder (MDD) and may be less responsive to conventional treatments. Brain connectivity differences between the dorsal attention network (DAN), default mode network (DMN), and subgenual cingulate have been implicated in TBI and MDD. To characterize these distinctions, we applied precision functional mapping of brain network connectivity to resting-state functional magnetic resonance imaging data from five published patient cohorts, four discovery cohorts (n = 93), and one replication cohort (n = 180). We identified a distinct brain connectivity profile in TBI-associated depression that was independent of TBI, MDD, posttraumatic stress disorder (PTSD), depression severity, and cohort. TBI-associated depression was independently associated with decreased DAN-subgenual cingulate connectivity, increased DAN-DMN connectivity, and the combined effect of both. This effect was stronger when using precision functional mapping relative to group-level network maps. Our results support the possibility of a physiologically distinct "TBI affective syndrome," which may benefit from individualized neuromodulation approaches to target its distinct neural circuitry.
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Affiliation(s)
- Shan H Siddiqi
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Carl D Hacker
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Heather Bouchard
- Department of Psychiatry, Duke University School of Medicine and Durham VA Medical Center, Durham, NC, USA
| | - Eric C Leuthardt
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Maurizio Corbetta
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, University of Padua, Padua, Italy
| | - Rajendra A Morey
- Department of Psychiatry, Duke University School of Medicine and Durham VA Medical Center, Durham, NC, USA
| | - David L Brody
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences and National Institute of Neurological Disorders and Stroke, Rockville, MD, USA
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5
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Luo L, Langley C, Moreno-Lopez L, Kendrick K, Menon DK, Stamatakis EA, Sahakian BJ. Depressive symptoms following traumatic brain injury are associated with resting-state functional connectivity. Psychol Med 2023; 53:2698-2705. [PMID: 37310305 PMCID: PMC10123829 DOI: 10.1017/s0033291721004724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 10/21/2021] [Accepted: 10/29/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND To determine whether depressive symptoms in traumatic brain injury (TBI) patients were associated with altered resting-state functional connectivity (rs-fc) or voxel-based morphology in brain regions involved in emotional regulation and associated with depression. METHODS In the present study, we examined 79 patients (57 males; age range = 17-70 years, M ± s.d. = 38 ± 16.13; BDI-II, M ± s.d. = 9.84 ± 8.67) with TBI. We used structural MRI and resting-state fMRI to examine whether there was a relationship between depression, as measured with the Beck Depression Inventory (BDI-II), and the voxel-based morphology or functional connectivity in regions previously identified as involved in emotional regulation in patients following TBI. Patients were at least 4 months post-TBI (M ± s.d. = 15.13 ± 11.67 months) and the severity of the injury included mild to severe cases [Glasgow Coma Scale (GCS), M ± s.d. = 6.87 ± 3.31]. RESULTS Our results showed that BDI-II scores were unrelated to voxel-based morphology in the examined regions. We found a positive association between depression scores and rs-fc between limbic regions and cognitive control regions. Conversely, there was a negative association between depression scores and rs-fc between limbic and frontal regions involved in emotion regulation. CONCLUSION These findings lead to a better understanding of the exact mechanisms that contribute to depression following TBI and better inform treatment decisions.
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Affiliation(s)
- Lizhu Luo
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Laura Moreno-Lopez
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Keith Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - David K. Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Emmanuel A. Stamatakis
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
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Zheng L, Pang Q, Xu H, Guo H, Liu R, Wang T. The Neurobiological Links between Stress and Traumatic Brain Injury: A Review of Research to Date. Int J Mol Sci 2022; 23:ijms23179519. [PMID: 36076917 PMCID: PMC9455169 DOI: 10.3390/ijms23179519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/17/2022] [Accepted: 08/21/2022] [Indexed: 11/16/2022] Open
Abstract
Neurological dysfunctions commonly occur after mild or moderate traumatic brain injury (TBI). Although most TBI patients recover from such a dysfunction in a short period of time, some present with persistent neurological deficits. Stress is a potential factor that is involved in recovery from neurological dysfunction after TBI. However, there has been limited research on the effects and mechanisms of stress on neurological dysfunctions due to TBI. In this review, we first investigate the effects of TBI and stress on neurological dysfunctions and different brain regions, such as the prefrontal cortex, hippocampus, amygdala, and hypothalamus. We then explore the neurobiological links and mechanisms between stress and TBI. Finally, we summarize the findings related to stress biomarkers and probe the possible diagnostic and therapeutic significance of stress combined with mild or moderate TBI.
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Affiliation(s)
- Lexin Zheng
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Soochow University, Suzhou 215123, China
| | - Qiuyu Pang
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Soochow University, Suzhou 215123, China
| | - Heng Xu
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Soochow University, Suzhou 215123, China
| | - Hanmu Guo
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Soochow University, Suzhou 215123, China
| | - Rong Liu
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Soochow University, Suzhou 215123, China
| | - Tao Wang
- Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Soochow University, Suzhou 215123, China
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, China (Academy of Forensic Science), Shanghai 200063, China
- Correspondence:
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Golub VM, Reddy DS. Post-Traumatic Epilepsy and Comorbidities: Advanced Models, Molecular Mechanisms, Biomarkers, and Novel Therapeutic Interventions. Pharmacol Rev 2022; 74:387-438. [PMID: 35302046 PMCID: PMC8973512 DOI: 10.1124/pharmrev.121.000375] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Post-traumatic epilepsy (PTE) is one of the most devastating long-term, network consequences of traumatic brain injury (TBI). There is currently no approved treatment that can prevent onset of spontaneous seizures associated with brain injury, and many cases of PTE are refractory to antiseizure medications. Post-traumatic epileptogenesis is an enduring process by which a normal brain exhibits hypersynchronous excitability after a head injury incident. Understanding the neural networks and molecular pathologies involved in epileptogenesis are key to preventing its development or modifying disease progression. In this article, we describe a critical appraisal of the current state of PTE research with an emphasis on experimental models, molecular mechanisms of post-traumatic epileptogenesis, potential biomarkers, and the burden of PTE-associated comorbidities. The goal of epilepsy research is to identify new therapeutic strategies that can prevent PTE development or interrupt the epileptogenic process and relieve associated neuropsychiatric comorbidities. Therefore, we also describe current preclinical and clinical data on the treatment of PTE sequelae. Differences in injury patterns, latency period, and biomarkers are outlined in the context of animal model validation, pathophysiology, seizure frequency, and behavior. Improving TBI recovery and preventing seizure onset are complex and challenging tasks; however, much progress has been made within this decade demonstrating disease modifying, anti-inflammatory, and neuroprotective strategies, suggesting this goal is pragmatic. Our understanding of PTE is continuously evolving, and improved preclinical models allow for accelerated testing of critically needed novel therapeutic interventions in military and civilian persons at high risk for PTE and its devastating comorbidities.
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Affiliation(s)
- Victoria M Golub
- Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, Bryan, Texas
| | - Doodipala Samba Reddy
- Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, Bryan, Texas
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8
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Mayer AR, Quinn DK. Neuroimaging Biomarkers of New-Onset Psychiatric Disorders Following Traumatic Brain Injury. Biol Psychiatry 2022; 91:459-469. [PMID: 34334188 PMCID: PMC8665933 DOI: 10.1016/j.biopsych.2021.06.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/24/2021] [Accepted: 06/06/2021] [Indexed: 02/07/2023]
Abstract
Traumatic brain injury (TBI) has traditionally been associated with cognitive and behavioral changes during both the acute and chronic phases of injury. Because of its noninvasive nature, neuroimaging has the potential to provide unique information on underlying macroscopic and microscopic biological mechanisms that may serve as causative agents for these neuropsychiatric sequelae. This broad scoping review identifies at least 4 common macroscopic pathways that exist between TBI and new-onset psychiatric disorders, as well as several examples of how neuroimaging is currently being utilized in clinical research. The review then critically examines the strengths and limitations of neuroimaging for elucidating TBI-related microscopic pathology, such as microstructural changes, neuroinflammation, proteinopathies, blood-brain barrier damage, and disruptions in cellular signaling. A summary is then provided for how neuroimaging is currently being used to investigate TBI-related pathology in new-onset neurocognitive disorders, depression, and posttraumatic stress disorder. Identified gaps in the literature include a lack of prospective studies to definitively associate imaging findings with the development of new-onset psychiatric disorders, as well as antemortem imaging studies subsequently confirmed with postmortem correlates in the same study cohort. Although the spatial resolution and specificity of imaging biomarkers has greatly improved over the last 2 decades, we conclude that neuroimaging biomarkers do not yet exist for the definitive in vivo diagnosis of cellular pathology. This represents a necessary next step for further elucidating causal relationships between TBI and new-onset psychiatric disorders.
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Affiliation(s)
- Andrew R. Mayer
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106,Department of Neurology, University of New Mexico School of Medicine, Albuquerque, NM 87131,Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM 87131,Department of Psychology, University of New Mexico, Albuquerque, NM 87131,Corresponding author: Andrew Mayer, Ph.D., The Mind Research Network, Pete & Nancy Domenici Hall, 1101 Yale Blvd. NE, Albuquerque, NM 87106 USA; Tel: 505-272-0769; Fax: 505-272-8002;
| | - Davin K. Quinn
- Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM 87131
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Medeiros GC, Twose C, Weller A, Dougherty JW, Goes FS, Sair HI, Smith GS, Roy D. Neuroimaging correlates of depression after traumatic brain injury: A systematic review. J Neurotrauma 2022; 39:755-772. [PMID: 35229629 DOI: 10.1089/neu.2021.0374] [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: 11/12/2022] Open
Abstract
Depression is the most frequent neuropsychiatric complication after traumatic brain injury (TBI) and is associated with poorer outcomes. Neuroimaging has the potential to improve our understanding of the neural correlates of depression after TBI and may improve our capacity to accurately predict and effectively treat this condition. We conducted a systematic review of structural and functional neuroimaging studies that examined the association between depression after TBI, and neuroimaging measures. Electronic searches were conducted in four databases and were complemented by manual searches. In total, 2,035 citations were identified and, ultimately, 38 articles were included totaling 1,793 individuals (median [25%-75%] sample size of 38.5 (21.8-54.3) individuals). The most frequently used modality was structural magnetic resonance imaging (MRI) (n=17, 45%), followed by diffusion tensor imaging (n=11, 29%), resting-state functional MRI (n=10, 26%), task-based functional MRI (n=4, 8%), and positron emission tomography (n=2, 4%). Most studies (n=27, 71%) were cross-sectional. Overall, depression after TBI was associated with lower grey matter measures (volume, thickness, and/or density) and greater white matter damage. However, identification of specific brain areas was somewhat inconsistent. Findings that were replicated in more than one study included reduced grey matter in the rostral anterior cingulate cortex, prefrontal cortex and hippocampus, and damage in five white matter tracts (cingulum, internal capsule, superior longitudinal fasciculi, anterior, and posterior corona radiata). This systematic review found that the available data did not converge on a clear neuroimaging biomarker for depression after TBI. However, there are promising targets that warrant further study.
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Affiliation(s)
- Gustavo C Medeiros
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Claire Twose
- Welch Medical Library, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Alexandra Weller
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - John W Dougherty
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Gwenn S Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Durga Roy
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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10
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Young LR, Zientz JE, Spence JS, Krawczyk DC, Chapman SB. Efficacy of Cognitive Training When Translated From the Laboratory to the Real World. Mil Med 2021; 186:176-183. [PMID: 33499529 DOI: 10.1093/milmed/usaa501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/29/2020] [Accepted: 11/16/2020] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Research shows that cognitive performance and emotional well-being can be significantly strengthened. A high-performance brain training protocol, Strategic Memory Advanced Reasoning Training (SMART), was developed by cognitive neuroscientists at The University of Texas at Dallas Center for BrainHealth based on 25-plus years of scientific study. Randomized controlled trials with various populations have shown that training and use of nine "SMART" strategies for processing information can improve cognitive performance and psychological health. However, the multi-week intensive training used in the laboratory is not practical for widespread use outside the laboratory. This article examines the efficacy of SMART when translated outside the laboratory to two populations (military/veterans and law enforcement) that received SMART in condensed time frames. MATERIALS AND METHODS In two translation studies with healthy military personnel and veterans, 425 participants received between 6 and 10 hours of SMART over 2 days. In a third translation study, 74 healthy police officers received 9 hours of SMART over 3 days. Training was conducted by clinicians who taught the nine "SMART" strategies related to three core areas-strategic attention, integrated reasoning, and innovation-to groups of up to 25 participants. In all three translation studies, cognitive performance and psychological health data were collected before and immediately following the training. In one of the military/veteran studies, psychological health data were also collected 1 and 4 months following the training. RESULTS In both translations to military personnel and veterans, there were improvements in the complex cognitive domains of integrated reasoning (P < .0001) and innovation (P < .0001) immediately after undergoing SMART. In the translation to police officers, there were improvements in the cognitive domains of innovation (P = .02) and strategic attention (P = .005). Participants in all three translations saw statistically significant improvements in self-reported symptoms of psychological health. The improvements continued among a subset of participants who responded to the later requests for information. CONCLUSIONS The results of translating to these two populations provide evidence supporting the efficacy of SMART delivered in an abbreviated time frame. The improvements in two major domains of cognitive function demonstrate that strategies can be taught and immediately applied by those receiving the training. The immediate psychological health improvements may be transient; however, the continued improvements in psychological health observed in a subset of the participants suggest that benefits may be sustainable even at later intervals.
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Affiliation(s)
- Leanne R Young
- Applied Research Associates, Inc., Dallas, TX 75252, USA
| | - Jennifer E Zientz
- The University of Texas at Dallas Center for BrainHealth, Dallas, TX 75235, USA
| | - Jeffrey S Spence
- The University of Texas at Dallas Center for BrainHealth, Dallas, TX 75235, USA
| | - Daniel C Krawczyk
- The University of Texas at Dallas Center for BrainHealth, Dallas, TX 75235, USA
| | - Sandra B Chapman
- The University of Texas at Dallas Center for BrainHealth, Dallas, TX 75235, USA
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11
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Tate DF, Dennis EL, Adams JT, Adamson MM, Belanger HG, Bigler ED, Bouchard HC, Clark AL, Delano-Wood LM, Disner SG, Eapen BC, Franz CE, Geuze E, Goodrich-Hunsaker NJ, Han K, Hayes JP, Hinds SR, Hodges CB, Hovenden ES, Irimia A, Kenney K, Koerte IK, Kremen WS, Levin HS, Lindsey HM, Morey RA, Newsome MR, Ollinger J, Pugh MJ, Scheibel RS, Shenton ME, Sullivan DR, Taylor BA, Troyanskaya M, Velez C, Wade BS, Wang X, Ware AL, Zafonte R, Thompson PM, Wilde EA. Coordinating Global Multi-Site Studies of Military-Relevant Traumatic Brain Injury: Opportunities, Challenges, and Harmonization Guidelines. Brain Imaging Behav 2021; 15:585-613. [PMID: 33409819 PMCID: PMC8035292 DOI: 10.1007/s11682-020-00423-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/24/2020] [Indexed: 12/19/2022]
Abstract
Traumatic brain injury (TBI) is common among military personnel and the civilian population and is often followed by a heterogeneous array of clinical, cognitive, behavioral, mood, and neuroimaging changes. Unlike many neurological disorders that have a characteristic abnormal central neurologic area(s) of abnormality pathognomonic to the disorder, a sufficient head impact may cause focal, multifocal, diffuse or combination of injury to the brain. This inconsistent presentation makes it difficult to establish or validate biological and imaging markers that could help improve diagnostic and prognostic accuracy in this patient population. The purpose of this manuscript is to describe both the challenges and opportunities when conducting military-relevant TBI research and introduce the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Military Brain Injury working group. ENIGMA is a worldwide consortium focused on improving replicability and analytical power through data sharing and collaboration. In this paper, we discuss challenges affecting efforts to aggregate data in this patient group. In addition, we highlight how "big data" approaches might be used to understand better the role that each of these variables might play in the imaging and functional phenotypes of TBI in Service member and Veteran populations, and how data may be used to examine important military specific issues such as return to duty, the late effects of combat-related injury, and alteration of the natural aging processes.
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Affiliation(s)
- David F Tate
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA.
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA.
| | - Emily L Dennis
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, Los Angeles, CA, USA
| | - John T Adams
- Western University of Health Sciences, Pomona, CA, USA
| | - Maheen M Adamson
- Defense and Veterans Brain Injury Center, VA Palo Alto, Palo Alto, CA, USA
- Neurosurgery, Stanford School of Medicine, Stanford, CA, USA
| | - Heather G Belanger
- United States Special Operations Command (USSOCOM), Tampa, FL, USA
- Department of Psychology, University of South Florida, Tampa, FL, USA
- Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, FL, USA
- St Michaels Inc, Tampa, FL, USA
| | - Erin D Bigler
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
- Neuroscience Center, Brigham Young University, Provo, UT, USA
| | - Heather C Bouchard
- Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
| | - Alexandra L Clark
- VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Lisa M Delano-Wood
- VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, USA
| | - Seth G Disner
- Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, USA
- Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Blessen C Eapen
- Department of Physical Medicine and Rehabilitation, VA Greater Los Angeles Health Care System, Los Angeles, CA, USA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Carol E Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Elbert Geuze
- University Medical Center Utrecht, Utrecht, Netherlands
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, The Netherlands
| | - Naomi J Goodrich-Hunsaker
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
| | - Kihwan Han
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Jasmeet P Hayes
- Psychology Department, The Ohio State University, Columbus, OH, USA
- Chronic Brain Injury Program, The Ohio State University, Columbus, OH, USA
| | - Sidney R Hinds
- Department of Defense/United States Army Medical Research and Materiel Command, Fort Detrick, Frederick, MD, USA
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Cooper B Hodges
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
| | - Elizabeth S Hovenden
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Andrei Irimia
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Kimbra Kenney
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Harvey S Levin
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Hannah M Lindsey
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
- Department of Psychology, Brigham Young University, Provo, UT, USA
| | - Rajendra A Morey
- Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Mary R Newsome
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - John Ollinger
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Mary Jo Pugh
- Information Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, UT, USA
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Randall S Scheibel
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Brockton Division, VA Boston Healthcare System, Brockton, MA, USA
| | - Danielle R Sullivan
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Brian A Taylor
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
- C. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA
| | - Maya Troyanskaya
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Carmen Velez
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Benjamin Sc Wade
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xin Wang
- Department of Psychiatry, University of Toledo, Toledo, OH, USA
| | - Ashley L Ware
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital/Brigham & Women's Hospital, Boston, MA, USA
- Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, Los Angeles, CA, USA
- Department of Neurology, USC, Los Angeles, CA, USA
- Department of Pediatrics, USC, Los Angeles, CA, USA
- Department of Psychiatry, USC, Los Angeles, CA, USA
- Department of Radiology, USC, Los Angeles, CA, USA
- Department of Engineering, USC, Los Angeles, CA, USA
- Department of Ophthalmology, USC, Los Angeles, CA, USA
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
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12
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McCorkle TA, Barson JR, Raghupathi R. A Role for the Amygdala in Impairments of Affective Behaviors Following Mild Traumatic Brain Injury. Front Behav Neurosci 2021; 15:601275. [PMID: 33746719 PMCID: PMC7969709 DOI: 10.3389/fnbeh.2021.601275] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 01/29/2021] [Indexed: 11/30/2022] Open
Abstract
Mild traumatic brain injury (TBI) results in chronic affective disorders such as depression, anxiety, and fear that persist up to years following injury and significantly impair the quality of life for patients. Although a great deal of research has contributed to defining symptoms of mild TBI, there are no adequate drug therapies for brain-injured individuals. Preclinical studies have modeled these deficits in affective behaviors post-injury to understand the underlying mechanisms with a view to developing appropriate treatment strategies. These studies have also unveiled sex differences that contribute to the varying phenotypes associated with each behavior. Although clinical and preclinical studies have viewed these behavioral deficits as separate entities with unique neurobiological mechanisms, mechanistic similarities suggest that a novel approach is needed to advance research on drug therapy. This review will discuss the circuitry involved in the expression of deficits in affective behaviors following mild TBI in humans and animals and provide evidence that the manifestation of impairment in these behaviors stems from an amygdala-dependent emotional processing deficit. It will highlight mechanistic similarities between these different types of affective behaviors that can potentially advance mild TBI drug therapy by investigating treatments for the deficits in affective behaviors as one entity, requiring the same treatment.
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Affiliation(s)
- Taylor A. McCorkle
- Graduate Program in Neuroscience, Graduate School of Biomedical Sciences and Professional Studies, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Jessica R. Barson
- Graduate Program in Neuroscience, Graduate School of Biomedical Sciences and Professional Studies, Drexel University College of Medicine, Philadelphia, PA, United States
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Ramesh Raghupathi
- Graduate Program in Neuroscience, Graduate School of Biomedical Sciences and Professional Studies, Drexel University College of Medicine, Philadelphia, PA, United States
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States
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13
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Blaze J, Choi I, Wang Z, Umali M, Mendelev N, Tschiffely AE, Ahlers ST, Elder GA, Ge Y, Haghighi F. Blast-Related Mild TBI Alters Anxiety-Like Behavior and Transcriptional Signatures in the Rat Amygdala. Front Behav Neurosci 2020; 14:160. [PMID: 33192359 PMCID: PMC7604767 DOI: 10.3389/fnbeh.2020.00160] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 08/11/2020] [Indexed: 12/21/2022] Open
Abstract
The short and long-term neurological and psychological consequences of traumatic brain injury (TBI), and especially mild TBI (mTBI) are of immense interest to the Veteran community. mTBI is a common and detrimental result of combat exposure and results in various deleterious outcomes, including mood and anxiety disorders, cognitive deficits, and post-traumatic stress disorder (PTSD). In the current study, we aimed to further define the behavioral and molecular effects of blast-related mTBI using a well-established (3 × 75 kPa, one per day on three consecutive days) repeated blast overpressure (rBOP) model in rats. We exposed adult male rats to the rBOP procedure and conducted behavioral tests for anxiety and fear conditioning at 1-1.5 months (sub-acute) or 12-13 months (chronic) following blast exposure. We also used next-generation sequencing to measure transcriptome-wide gene expression in the amygdala of sham and blast-exposed animals at the sub-acute and chronic time points. Results showed that blast-exposed animals exhibited an anxiety-like phenotype at the sub-acute timepoint but this phenotype was diminished by the chronic time point. Conversely, gene expression analysis at both sub-acute and chronic timepoints demonstrated a large treatment by timepoint interaction such that the most differentially expressed genes were present in the blast-exposed animals at the chronic time point, which also corresponded to a Bdnf-centric gene network. Overall, the current study identified changes in the amygdalar transcriptome and anxiety-related phenotypic outcomes dependent on both blast exposure and aging, which may play a role in the long-term pathological consequences of mTBI.
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Affiliation(s)
- Jennifer Blaze
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Inbae Choi
- Research and Development Service, James J. Peters Veterans Affairs Medical Center, Bronx, NY, United States
| | - Zhaoyu Wang
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Michelle Umali
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Natalia Mendelev
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Anna E Tschiffely
- Department of Neurotrauma, Operational and Undersea Medicine Directorate, Naval Medical Research Center, Silver Spring, MD, United States
| | - Stephen T Ahlers
- Department of Neurotrauma, Operational and Undersea Medicine Directorate, Naval Medical Research Center, Silver Spring, MD, United States
| | - Gregory A Elder
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Neurology Service, James J. Peters Veterans Affairs Medical Center, Bronx, NY, United States
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Fatemeh Haghighi
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Research and Development Service, James J. Peters Veterans Affairs Medical Center, Bronx, NY, United States.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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14
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Kreitzer N, Ancona R, McCullumsmith C, Kurowski BG, Foreman B, Ngwenya LB, Adeoye O. The Effect of Antidepressants on Depression After Traumatic Brain Injury: A Meta-analysis. J Head Trauma Rehabil 2020; 34:E47-E54. [PMID: 30169440 PMCID: PMC8730802 DOI: 10.1097/htr.0000000000000439] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Following traumatic brain injury (TBI), depressive symptoms are common and may influence recovery. We performed a meta-analysis to estimate the benefit of antidepressants following TBI and compare the estimated effects between antidepressants and placebo. PARTICIPANTS Multiple databases were searched to find prospective pharmacological treatment studies of major depressive disorder (MDD) in adults following TBI. MAIN MEASURES Effect sizes for antidepressant medications in patients with TBI were calculated for within-subjects designs that examined change from baseline after receiving medical treatment and treatment/placebo designs that examined the differences between the antidepressants and placebo groups. DESIGN A random-effects model was used for both analyses. RESULTS Of 1028 titles screened, 11 were included. Pooled estimates showed nonsignificant difference in reduction of depression scores between medications and placebo (standardized mean difference of 5 trials = -0.3; 95% CI, -0.6 to 0.0; I = 17%), and a significant reduction in depression scores for individuals after pharmacotherapy (mean change = -11.2; 95% CI, -14.7 to -7.6 on the Hamilton Depression Scale; I = 87%). CONCLUSIONS This meta-analysis found no significant benefit of antidepressant over placebo in the treatment of MDD following TBI. Pooled estimates showed a high degree of bias and heterogeneity. Prospective studies on the impact of antidepressants in well-defined cohorts of TBI patients are warranted.
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Affiliation(s)
- Natalie Kreitzer
- Division of Neurocritical Care (Drs Kreitzer, Foreman, and Adeoye), Department of Emergency Medicine (Drs Kreitzer and Adeoye and Ms Ancona), Department of Psychiatry (Dr McCullumsmith), Department of Pediatrics (Dr Kurowski), Department of Physical Medicine and Rehabilitation (Dr Kurowski), Department of Neurology and Rehabilitation Medicine (Drs Foreman and Ngwenya), and Department of Neurosurgery (Dr Ngwenya), University of Cincinnati, Cincinnati, Ohio
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15
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Dickerson MR, Bailey ZS, Murphy SF, Urban MJ, VandeVord PJ. Glial Activation in the Thalamus Contributes to Vestibulomotor Deficits Following Blast-Induced Neurotrauma. Front Neurol 2020; 11:618. [PMID: 32760340 PMCID: PMC7373723 DOI: 10.3389/fneur.2020.00618] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 05/27/2020] [Indexed: 12/16/2022] Open
Abstract
Vestibular impairment has become a frequent consequence following blast-related traumatic brain injury (bTBI) in military personnel and Veterans. Behavioral outcomes such as depression, fear and anxiety are also common comorbidities of bTBI. To accelerate pre-clinical research and therapy developments, there is a need to study the link between behavioral patterns and neuropathology. The transmission of neurosensory information often involves a pathway from the cerebral cortex to the thalamus, and the thalamus serves crucial integrative functions within vestibular processing. Pathways from the thalamus also connect with the amygdala, suggesting thalamic and amygdalar contributions to anxiolytic behavior. Here we used behavioral assays and immunohistochemistry to determine the sub-acute and early chronic effects of repeated blast exposure on the thalamic and amygdala nuclei. Behavioral results indicated vestibulomotor deficits at 1 and 3 weeks following repeated blast events. Anxiety-like behavior assessments depicted trending increases in the blast group. Astrogliosis and microglia activation were observed upon post-mortem pathological examination in the thalamic region, along with a limited glia response in the amygdala at 4 weeks. These findings are consistent with a diffuse glia response associated with bTBI and support the premise that dysfunction within the thalamic nuclei following repeated blast exposures contribute to vestibulomotor impairment.
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Affiliation(s)
- Michelle R Dickerson
- Department of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, VA, United States
| | - Zachary Stephen Bailey
- Department of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, VA, United States
| | - Susan F Murphy
- Department of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, VA, United States.,Salem VA Medical Center, Salem, VA, United States
| | - Michael J Urban
- Department of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, VA, United States
| | - Pamela J VandeVord
- Department of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, VA, United States.,Salem VA Medical Center, Salem, VA, United States
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16
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Siddiqi SH, Trapp NT, Shahim P, Hacker CD, Laumann TO, Kandala S, Carter AR, Brody DL. Individualized Connectome-Targeted Transcranial Magnetic Stimulation for Neuropsychiatric Sequelae of Repetitive Traumatic Brain Injury in a Retired NFL Player. J Neuropsychiatry Clin Neurosci 2020; 31:254-263. [PMID: 30945588 DOI: 10.1176/appi.neuropsych.18100230] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The recent advent of individualized resting-state network mapping (RSNM) has revealed substantial interindividual variability in anatomical localization of brain networks identified by using resting-state functional MRI (rsfMRI). RSNM enables personalized targeting of focal neuromodulation techniques such as repetitive transcranial magnetic stimulation (rTMS). rTMS is believed to exert antidepressant efficacy by modulating connectivity between the stimulation site, the default mode network (DMN), and the subgenual anterior cingulate cortex (sgACC). Personalized rTMS may be particularly useful after repetitive traumatic brain injury (TBI), which is associated with neurodegenerative tauopathy in medial temporal limbic structures. These degenerative changes are believed to be related to treatment-resistant neurobehavioral disturbances observed in many retired athletes. METHODS The authors describe a case in which RSNM was successfully used to target rTMS to treat these neuropsychiatric disturbances in a retired NFL defensive lineman whose symptoms were not responsive to conventional treatments. RSNM was used to identify left-right dorsolateral prefrontal rTMS targets with maximal difference between dorsal attention network and DMN correlations. These targets were spatially distinct from those identified by prior methods. Twenty sessions of left-sided excitatory and right-sided inhibitory rTMS were administered at these targets. RESULTS Treatment led to improvement in Montgomery-Åsberg Depression Rating Scale (72%), cognitive testing, and headache scales scores. Compared with healthy individuals and subjects with TBI-associated depression, baseline rsfMRI revealed substantially elevated DMN connectivity with the medial temporal lobe (MTL). Serial rsfMRI scans revealed gradual improvement in MTL-DMN connectivity and stimulation site connectivity with sgACC. CONCLUSIONS These results highlight the possibility of individualized neuromodulation and biomarker-based monitoring for neuropsychiatric sequelae of repetitive TBI.
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Affiliation(s)
- Shan H Siddiqi
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
| | - Nicholas T Trapp
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
| | - Pashtun Shahim
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
| | - Carl D Hacker
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
| | - Timothy O Laumann
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
| | - Sridhar Kandala
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
| | - Alexandre R Carter
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
| | - David L Brody
- The Departments of Psychiatry, Neurology, and Neurosurgery, Washington University School of Medicine, St. Louis (Siddiqi, Trapp, Laumann, Kandala, Shahim, Carter, Brody, Hacker); and Department of Neurology, Harvard Medical School, McLean Hospital, Boston (Siddiqi); and the Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, Md. (Siddiqi, Shahim); and Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa (Trapp)
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17
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Sparks P, Lawrence T, Hinze S. Neuroimaging in the Diagnosis of Chronic Traumatic Encephalopathy: A Systematic Review. Clin J Sport Med 2020; 30 Suppl 1:S1-S10. [PMID: 32132472 DOI: 10.1097/jsm.0000000000000541] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy associated with repeated subconcussive and concussive head injury. Clinical features include cognitive, behavioral, mood, and motor impairments. Definitive diagnosis is only possible at postmortem. Here, the utility of neuroimaging in the diagnosis of CTE is evaluated by systematically reviewing recent evidence for changes in neuroimaging biomarkers in suspected cases of CTE compared with controls. DATA SOURCES Providing an update on a previous systematic review of articles published until December 2014, we searched for articles published between December 2014 and July 2016. We searched PubMed for studies assessing neuroimaging changes in symptomatic suspected cases of CTE with a history of repeated subconcussive or concussive head injury or participation in contact sports involving direct impact to the head. Exclusion criteria were case studies, review articles, and articles focusing on repetitive head trauma from military service, head banging, epilepsy, physical abuse, or animal models. MAIN RESULTS Seven articles met the review criteria, almost all of which studied professional athletes. The range of modalities were categorized into structural magnetic resonance imaging (MRI), diffusion MRI, and radionuclide studies. Biomarkers which differed significantly between suspected CTE and controls were Evans index (P = 0.05), cavum septum pellucidum (CSP) rate (P < 0.0006), length (P < 0.03) and ratio of CSP length to septum length (P < 0.03), regional differences in axial diffusivity (P < 0.05) and free/intracellular water fractions (P < 0.005), single-photon emission computed tomography perfusion abnormalities (P < 0.01), positron emission tomography (PET) signals from tau-binding, glucose-binding, and GABA receptor-binding radionuclides (P < 0.0001, P < 0.005, and P < 0.005, respectively). Important limitations include low specificity in identification of suspected cases of CTE across studies, the need for postmortem validation, and a lack of generalizability to nonprofessional athletes. CONCLUSIONS The most promising biomarker is tau-binding radionuclide PET signal because it is most specific to the underlying neuropathology and differentiated CTE from both controls and patients with Alzheimer disease (P < 0.0001). Multimodal imaging will improve specificity further. Future research should minimize variability in identification of suspected cases of CTE using published clinical criteria.
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18
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Han K, Chapman SB, Krawczyk DC. Cognitive Training Reorganizes Network Modularity in Traumatic Brain Injury. Neurorehabil Neural Repair 2019; 34:26-38. [PMID: 31434528 DOI: 10.1177/1545968319868710] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Background. Graph-theoretic approaches are increasingly popular for identifying the patterns of disrupted neural systems after traumatic brain injury (TBI). However, the patterns of neuroplasticity in brain organization after cognitive training in TBI are less well understood. Objective. We identified the patterns of training-induced neuroplasticity of the whole-brain network in TBI, using resting-state functional connectivity and graph theory. Methods. A total of 64 civilians and veterans with TBI were randomized into either a strategy-based cognitive training group (n = 33) or a knowledge-based training group (active control group; n = 31) for 8 weeks. The participants experienced mild to severe TBI without focal damage and persistent cognitive dysfunctions. A subset of participants complained of subclinical but residual psychiatric symptoms. We acquired their resting-state functional magnetic resonance imaging before training, immediately posttraining, and 3 months posttraining. From participants' resting-state networks, we obtained the modularity, participation coefficient, within-module connectivity, global efficiency, and local efficiency over multiple network densities. We next performed longitudinal analyses on those measures corrected for multiple comparisons across network densities using false discovery rate (FDR). Results. Relative to the knowledge-based training group, the strategy-based cognitive training group had reduced modularity and increased participation coefficient, global efficiency, and local efficiency over time (Pnodal < .05; qFDR < 0.05). Brain behavior analysis revealed that the participation coefficient and global efficiency within the strategy-based cognitive training group correlated with trail-making scores in the context of training (Pnodal < .05; qFDR < 0.05). Conclusions. Cognitive training reorganized modular networks in TBI over the whole brain. Graph-theoretic approaches may be useful in identifying a potential brain-based marker of training efficacy in TBI.
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Affiliation(s)
- Kihwan Han
- The University of Texas at Dallas, TX, USA
| | | | - Daniel C Krawczyk
- The University of Texas at Dallas, TX, USA.,University of Texas Southwestern Medical Center, Dallas, TX, USA
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19
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Russell AL, Tasker JG, Lucion AB, Fiedler J, Munhoz CD, Wu TYJ, Deak T. Factors promoting vulnerability to dysregulated stress reactivity and stress-related disease. J Neuroendocrinol 2018; 30:e12641. [PMID: 30144202 PMCID: PMC6181794 DOI: 10.1111/jne.12641] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 08/07/2018] [Accepted: 08/21/2018] [Indexed: 12/18/2022]
Abstract
Effective coordination of the biological stress response is integral for the behavioural well-being of an organism. Stress reactivity is coordinated by an interplay of the neuroendocrine system and the sympathetic nervous system. The hypothalamic-pituitary-adrenal (HPA) axis plays a key role in orchestrating the bodily responses to stress, and the activity of the axis can be modified by a wide range of experiential events. This review focuses on several factors that influence subsequent HPA axis reactivity. Some of these factors include early-life adversity, exposure to chronic stress, immune activation and traumatic brain injury. The central premise is that each of these experiences serves as a general vulnerability factor that accelerates future HPA axis reactivity in ways that make individuals more sensitive to stress challenges, therefore feeding forward into the exacerbation of ongoing (or greater susceptibility toward) future stress-related disease states, especially as they pertain to negative affect and overall brain health.
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Affiliation(s)
- Ashley L Russell
- Program in Neuroscience, Uniformed Services University, Bethesda, Maryland
- Center for Neuroscience and Regenerative Medicine, Bethesda, Maryland
| | - Jeffrey G Tasker
- Department of Cell and Molecular Biology, Tulane University, New Orleans, Los Angeles
| | - Aldo B Lucion
- Department of Physiology, Institute of Basic Health Sciences (ICBS), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Jenny Fiedler
- Department of Biochemistry and Molecular Biology, Chemical and Pharmaceutical Sciences Faculty, Universidad de Chile, Santiago, Chile
| | - Carolina D Munhoz
- Deparment of Pharmacology, Institute of Biomedical Science, University of São Paulo, São Paulo, Brazil
| | - Tao-Yiao John Wu
- Program in Neuroscience, Uniformed Services University, Bethesda, Maryland
- Center for Neuroscience and Regenerative Medicine, Bethesda, Maryland
- Department of Obstetrics and Gynecology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Terrence Deak
- Developmental Exposure Alcohol Research Center (DEARC), Department of Psychology, Behavioral Neuroscience Program, Binghamton University, Binghamton, New York
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20
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Swiatkowski P, Sewell E, Sweet ES, Dickson S, Swanson RA, McEwan SA, Cuccolo N, McDonnell ME, Patel MV, Varghese N, Morrison B, Reitz AB, Meaney DF, Firestein BL. Cypin: A novel target for traumatic brain injury. Neurobiol Dis 2018; 119:13-25. [PMID: 30031156 DOI: 10.1016/j.nbd.2018.07.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/06/2018] [Accepted: 07/17/2018] [Indexed: 12/13/2022] Open
Abstract
Cytosolic PSD-95 interactor (cypin), the primary guanine deaminase in the brain, plays key roles in shaping neuronal circuits and regulating neuronal survival. Despite this pervasive role in neuronal function, the ability for cypin activity to affect recovery from acute brain injury is unknown. A key barrier in identifying the role of cypin in neurological recovery is the absence of pharmacological tools to manipulate cypin activity in vivo. Here, we use a small molecule screen to identify two activators and one inhibitor of cypin's guanine deaminase activity. The primary screen identified compounds that change the initial rate of guanine deamination using a colorimetric assay, and secondary screens included the ability of the compounds to protect neurons from NMDA-induced injury and NMDA-induced decreases in frequency and amplitude of miniature excitatory postsynaptic currents. Hippocampal neurons pretreated with activators preserved electrophysiological function and survival after NMDA-induced injury in vitro, while pretreatment with the inhibitor did not. The effects of the activators were abolished when cypin was knocked down. Administering either cypin activator directly into the brain one hour after traumatic brain injury significantly reduced fear conditioning deficits 5 days after injury, while delivering the cypin inhibitor did not improve outcome after TBI. Together, these data demonstrate that cypin activation is a novel approach for improving outcome after TBI and may provide a new pathway for reducing the deficits associated with TBI in patients.
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Affiliation(s)
- Przemyslaw Swiatkowski
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA; Graduate Program in Molecular Biosciences, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA
| | - Emily Sewell
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104-6391, USA
| | - Eric S Sweet
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA; Graduate Program in Neurosciences, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA
| | - Samantha Dickson
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104-6391, USA
| | - Rachel A Swanson
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA
| | - Sara A McEwan
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA; Graduate Program in Neurosciences, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA
| | - Nicholas Cuccolo
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA
| | - Mark E McDonnell
- Fox Chase Chemical Diversity Center, Inc., Doylestown, PA 18902, USA
| | - Mihir V Patel
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA; Graduate Program in Neurosciences, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA
| | - Nevin Varghese
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Barclay Morrison
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Allen B Reitz
- Fox Chase Chemical Diversity Center, Inc., Doylestown, PA 18902, USA
| | - David F Meaney
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104-6391, USA
| | - Bonnie L Firestein
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854-8082, USA.
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21
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Han K, Martinez D, Chapman SB, Krawczyk DC. Neural correlates of reduced depressive symptoms following cognitive training for chronic traumatic brain injury. Hum Brain Mapp 2018; 39:2955-2971. [PMID: 29573026 PMCID: PMC6055759 DOI: 10.1002/hbm.24052] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 02/12/2018] [Accepted: 03/09/2018] [Indexed: 12/24/2022] Open
Abstract
Depression is the most frequent comorbid psychiatric condition among individuals with traumatic brain injury (TBI). Yet, little is known about changes in the brain associated with reduced depressive symptoms following rehabilitation for TBI. We identified whether cognitive training alleviates comorbid depressive symptoms in chronic TBI (>6 months post-injury) as a secondary effect. Further, we elucidated neural correlates of alleviated depressive symptoms following cognitive training. A total of seventy-nine individuals with chronic TBI (53 depressed and 26 non-depressed individuals, measured using the Beck Depressive Inventory [BDI]), underwent either strategy- or information-based cognitive training in a small group for 8 weeks. We measured psychological functioning scores, cortical thickness, and resting-state functional connectivity (rsFC) for these individuals before training, immediately post-training, and 3 months post-training. After confirming that changes in BDI scores were independent of training group affiliation, we identified that the depressive-symptoms group showed reductions in BDI scores over time relative to the non-depressed TBI controls (p < .01). Within the depressive-symptoms group, reduced BDI scores was associated with improvements in scores for post-traumatic stress disorder, TBI symptom awareness, and functional status (p < .00625), increases in cortical thickness in four regions within the right prefrontal cortex (pvertex < .01, pcluster <.05), and decreases in rsFC with each of these four prefrontal regions (pvertex < .01, pcluster < .0125). Overall, these findings suggest that cognitive training can reduce depressive symptoms in TBI even when the training does not directly target psychiatric symptoms. Importantly, cortical thickness and brain connectivity may offer promising neuroimaging markers of training-induced improvement in mental health status in TBI.
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Affiliation(s)
- Kihwan Han
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - David Martinez
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - Sandra B Chapman
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - Daniel C Krawczyk
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas.,Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
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22
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Neural differences underlying face processing in veterans with TBI and co-occurring TBI and PTSD. J Affect Disord 2017; 223:130-138. [PMID: 28753471 DOI: 10.1016/j.jad.2017.07.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 06/19/2017] [Accepted: 07/05/2017] [Indexed: 11/21/2022]
Abstract
BACKGROUND Traumatic brain injury (TBI) is common in military personnel and associated with high rates of posttraumatic stress disorder (PTSD). TBI impacts widely-distributed neural patterns, some of which influence affective processing. Better understanding how TBI and PTSD/TBI alters affective neural activity may improve our understanding of comorbidity mechanisms, but to date the neural correlates of emotional processing in these groups has been relatively understudied. METHODS Military controls, military personnel with a history of TBI, and military personnel with both TBI and PTSD (N = 53) completed an emotional face processing task during fMRI. Whole-brain activation and functional connectivity during task conditions were compared between groups. RESULTS Few whole-brain group differences emerged in planned pairwise contrasts, though the TBI group showed some areas of hypoactivation relative to other groups during processing of faces versus shapes. The PTSD/TBI group compared to the control and TBI groups demonstrated greater connectivity between the amygdala and insula seed regions and a number of prefrontal and posterior cingulate regions. LIMITATIONS Generalizability to other patient groups, including those with only PTSD, has not yet been established. CONCLUSION TBI alone was associated with hypoactivation during a condition processing faces versus shapes, but PTSD with TBI was associated altered functional connectivity between amygdala and insula regions and cingulate and prefrontal areas. Altered connectivity patterns across groups suggests that individuals with PTSD/TBI may need to increase frontal connectivity with the insulae in order to achieve similar task-based activity.
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23
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Brakowski J, Spinelli S, Dörig N, Bosch OG, Manoliu A, Holtforth MG, Seifritz E. Resting state brain network function in major depression - Depression symptomatology, antidepressant treatment effects, future research. J Psychiatr Res 2017; 92:147-159. [PMID: 28458140 DOI: 10.1016/j.jpsychires.2017.04.007] [Citation(s) in RCA: 195] [Impact Index Per Article: 27.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 03/21/2017] [Accepted: 04/21/2017] [Indexed: 10/19/2022]
Abstract
The alterations of functional connectivity brain networks in major depressive disorder (MDD) have been subject of a large number of studies. Using different methodologies and focusing on diverse aspects of the disease, research shows heterogeneous results lacking integration. Disrupted network connectivity has been found in core MDD networks like the default mode network (DMN), the central executive network (CEN), and the salience network, but also in cerebellar and thalamic circuitries. Here we review literature published on resting state brain network function in MDD focusing on methodology, and clinical characteristics including symptomatology and antidepressant treatment related findings. There are relatively few investigations concerning the qualitative aspects of symptomatology of MDD, whereas most studies associate quantitative aspects with distinct resting state functional connectivity alterations. Such depression severity associated alterations are found in the DMN, frontal, cerebellar and thalamic brain regions as well as the insula and the subgenual anterior cingulate cortex. Similarly, different therapeutical options in MDD and their effects on brain function showed patchy results. Herein, pharmaceutical treatments reveal functional connectivity alterations throughout multiple brain regions notably the DMN, fronto-limbic, and parieto-temporal regions. Psychotherapeutical interventions show significant functional connectivity alterations in fronto-limbic networks, whereas electroconvulsive therapy and repetitive transcranial magnetic stimulation result in alterations of the subgenual anterior cingulate cortex, the DMN, the CEN and the dorsal lateral prefrontal cortex. While it appears clear that functional connectivity alterations are associated with the pathophysiology and treatment of MDD, future research should also generate a common strategy for data acquisition and analysis, as a least common denominator, to set the basis for comparability across studies and implementation of functional connectivity as a scientifically and clinically useful biomarker.
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Affiliation(s)
- Janis Brakowski
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Simona Spinelli
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Nadja Dörig
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Oliver Gero Bosch
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Andrei Manoliu
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Martin Grosse Holtforth
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.
| | - Erich Seifritz
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
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24
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Han K, Davis RA, Chapman SB, Krawczyk DC. Strategy-based reasoning training modulates cortical thickness and resting-state functional connectivity in adults with chronic traumatic brain injury. Brain Behav 2017; 7:e00687. [PMID: 28523229 PMCID: PMC5434192 DOI: 10.1002/brb3.687] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 02/13/2017] [Accepted: 02/26/2017] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Prior studies have demonstrated training-induced changes in the healthy adult brain. Yet, it remains unclear how the injured brain responds to cognitive training months-to-years after injury. METHODS Sixty individuals with chronic traumatic brain injury (TBI) were randomized into either strategy-based (N = 31) or knowledge-based (N = 29) training for 8 weeks. We measured cortical thickness and resting-state functional connectivity (rsFC) before training, immediately posttraining, and 3 months posttraining. RESULTS Relative to the knowledge-based training group, the cortical thickness of the strategy-based training group showed diverse temporal patterns of changes over multiple brain regions (pvertex < .05, pcluster < .05): (1) increases followed by decreases, (2) monotonic increases, and (3) monotonic decreases. However, network-based statistics (NBS) analysis of rsFC among these regions revealed that the strategy-based training group induced only monotonic increases in connectivity, relative to the knowledge-based training group (|Z| > 1.96, pNBS < 0.05). Complementing the rsFC results, the strategy-based training group yielded monotonic improvement in scores for the trail-making test (p < .05). Analyses of brain-behavior relationships revealed that improvement in trail-making scores were associated with training-induced changes in cortical thickness (pvertex < .05, pcluster < .05) and rsFC (pvertex < .05, pcluster < .005) within the strategy-based training group. CONCLUSIONS These findings suggest that training-induced brain plasticity continues through chronic phases of TBI and that brain connectivity and cortical thickness may serve as markers of plasticity.
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Affiliation(s)
- Kihwan Han
- Center for BrainHealthSchool of Behavioral and Brain SciencesThe University of Texas at DallasDallasTXUSA
| | - Rebecca A. Davis
- Center for BrainHealthSchool of Behavioral and Brain SciencesThe University of Texas at DallasDallasTXUSA
| | - Sandra B. Chapman
- Center for BrainHealthSchool of Behavioral and Brain SciencesThe University of Texas at DallasDallasTXUSA
| | - Daniel C. Krawczyk
- Center for BrainHealthSchool of Behavioral and Brain SciencesThe University of Texas at DallasDallasTXUSA
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTXUSA
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25
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Spitz G, Alway Y, Gould KR, Ponsford JL. Disrupted White Matter Microstructure and Mood Disorders after Traumatic Brain Injury. J Neurotrauma 2016; 34:807-815. [PMID: 27550509 DOI: 10.1089/neu.2016.4527] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Traumatic brain injury (TBI) is associated with an elevated frequency of mood disorders that may, in part, be explained by changes in white-matter microstructure. This study is the first to examine the relationship between mood disorders and white-matter pathology in a sample of patients with mild to severe TBI using a standardized psychiatric interview. This study reports on a sub-sample of 29 individuals recruited from a large prospective study that examined the evolution of psychiatric disorders following complicated, mild to severe TBI. Individuals with TBI were also compared with 23 healthy control participants. Individuals were invited to complete the Structured Clinical Interview for DSM-IV Disorders (SCID) to diagnose psychiatric disorders. Participants who developed a mood disorder within the first 3 years were categorized into a TBI-Mood group. Diffusion tensor tractography assessed white matter microstructure using atlas-based tract-averaged and along-tract approaches. Fractional anisotropy (FA) was used as the measure of white-matter microstructure. TBI participants with and without a mood disorder did not differ in regard to injury severity and other background factors. Nevertheless, TBI participants diagnosed with a mood disorder displayed significantly lower tract-averaged FA values for the right arcuate fasciculus (p = 0.011), right inferior longitudinal fasciculus (p = 0.009), and anterior segments I (p = 0.0004) and II (p = 0.007) of the corpus callosum, as well as the left (p = 0.014) and right (p = 0.015) fronto-occipital longitudinal fasciculi. The pattern of white matter disruption identified in the current study provides further support for a neurobiological basis of post-TBI mood disorders. Greater understanding of individuals' underlying neuropathology may enable better characterization and prediction of mood disorders. Integration of neuropathology may also inform the potential efficacy of pharmacological and psychological interventions.
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Affiliation(s)
- Gershon Spitz
- Monash Institute of Cognitive and Clinical Neurosciences, Monash University , Clayton, Australia .,Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
| | - Yvette Alway
- Monash Institute of Cognitive and Clinical Neurosciences, Monash University , Clayton, Australia .,Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
| | - Kate Rachel Gould
- Monash Institute of Cognitive and Clinical Neurosciences, Monash University , Clayton, Australia .,Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
| | - Jennie L Ponsford
- Monash Institute of Cognitive and Clinical Neurosciences, Monash University , Clayton, Australia .,Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
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26
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Tate DF, Wade BSC, Velez CS, Drennon AM, Bolzenius J, Gutman BA, Thompson PM, Lewis JD, Wilde EA, Bigler ED, Shenton ME, Ritter JL, York GE. Volumetric and shape analyses of subcortical structures in United States service members with mild traumatic brain injury. J Neurol 2016; 263:2065-79. [PMID: 27435967 PMCID: PMC5564450 DOI: 10.1007/s00415-016-8236-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Revised: 07/07/2016] [Accepted: 07/08/2016] [Indexed: 10/21/2022]
Abstract
Mild traumatic brain injury (mTBI) is a significant health concern. The majority who sustain mTBI recover, although ~20 % continue to experience symptoms that can interfere with quality of life. Accordingly, there is a critical need to improve diagnosis, prognostic accuracy, and monitoring (recovery trajectory over time) of mTBI. Volumetric magnetic resonance imaging (MRI) has been successfully utilized to examine TBI. One promising improvement over standard volumetric approaches is to analyze high-dimensional shape characteristics of brain structures. In this study, subcortical shape and volume in 76 Service Members with mTBI was compared to 59 Service Members with orthopedic injury (OI) and 17 with post-traumatic stress disorder (PTSD) only. FreeSurfer was used to quantify structures from T1-weighted 3 T MRI data. Radial distance (RD) and Jacobian determinant (JD) were defined vertex-wise on parametric mesh-representations of subcortical structures. Linear regression was used to model associations between morphometry (volume and shape), TBI status, and time since injury (TSI) correcting for age, sex, intracranial volume, and level of education. Volumetric data was not significantly different between the groups. JD was significantly increased in the accumbens and caudate and significantly reduced in the thalamus of mTBI participants. Additional significant associations were noted between RD of the amygdala and TSI. Positive trend-level associations between TSI and the amygdala and accumbens were observed, while a negative association was observed for third ventricle. Our findings may aid in the initial diagnosis of mTBI, provide biological targets for functional examination, and elucidate regions that may continue remodeling after injury.
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Affiliation(s)
- David F Tate
- Missouri Institute of Mental Health, University of Missouri, St. Louis, 4633 World Parkway Circle, Berkeley, MO, 63134-3115, USA.
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA.
| | - Benjamin S C Wade
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
| | - Carmen S Velez
- Missouri Institute of Mental Health, University of Missouri, St. Louis, 4633 World Parkway Circle, Berkeley, MO, 63134-3115, USA
| | - Ann Marie Drennon
- Defense and Veterans Brain Injury Centers, San Antonio Military Medical Center, San Antonio, TX, USA
| | - Jacob Bolzenius
- Missouri Institute of Mental Health, University of Missouri, St. Louis, 4633 World Parkway Circle, Berkeley, MO, 63134-3115, USA
| | - Boris A Gutman
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
| | - Jeffrey D Lewis
- Department of Neurology, Uniformed Services University of the Health Sciences School of Medicine, Bethesda, MD, USA
| | - Elisabeth A Wilde
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Erin D Bigler
- Departments of Psychology and Neuroscience, Brigham Young University, Provo, UT, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Brockton Division, VA Boston Healthcare System, Brockton, MA, USA
| | - John L Ritter
- Department of Radiology, Brooke Army Medical Center, San Antonio, TX, USA
| | - Gerald E York
- Alaska Radiology Associates, TBI Imaging and Research, Anchorage, AK, USA
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27
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Allely CS. Prevalence and assessment of traumatic brain injury in prison inmates: A systematic PRISMA review. Brain Inj 2016; 30:1161-80. [DOI: 10.1080/02699052.2016.1191674] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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