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Aleksic S, Fleysher R, Weiss EF, Tal N, Darby T, Blumen HM, Vazquez J, Ye KQ, Gao T, Siegel SM, Barzilai N, Lipton ML, Milman S. Hypothalamic MRI-derived microstructure is associated with neurocognitive aging in humans. Neurobiol Aging 2024; 141:102-112. [PMID: 38850591 DOI: 10.1016/j.neurobiolaging.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 05/17/2024] [Accepted: 05/31/2024] [Indexed: 06/10/2024]
Abstract
The hypothalamus regulates homeostasis across the lifespan and is emerging as a regulator of aging. In murine models, aging-related changes in the hypothalamus, including microinflammation and gliosis, promote accelerated neurocognitive decline. We investigated relationships between hypothalamic microstructure and features of neurocognitive aging, including cortical thickness and cognition, in a cohort of community-dwelling older adults (age range 65-97 years, n=124). Hypothalamic microstructure was evaluated with two magnetic resonance imaging diffusion metrics: mean diffusivity (MD) and fractional anisotropy (FA), using a novel image processing pipeline. Hypothalamic MD was cross-sectionally positively associated with age and it was negatively associated with cortical thickness. Hypothalamic FA, independent of cortical thickness, was cross-sectionally positively associated with neurocognitive scores. An exploratory analysis of longitudinal neurocognitive performance suggested that lower hypothalamic FA may predict cognitive decline. No associations between hypothalamic MD, age, and cortical thickness were identified in a younger control cohort (age range 18-63 years, n=99). To our knowledge, this is the first study to demonstrate that hypothalamic microstructure is associated with features of neurocognitive aging in humans.
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Affiliation(s)
- Sandra Aleksic
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States.
| | - Roman Fleysher
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States; Department of Radiology, Albert Einstein College of Medicine, Gruss Magnetic Resonance Research Center, Bronx, NY, United States
| | - Erica F Weiss
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Noa Tal
- Department of Medicine, Cedars-Sinai, Los Angeles, CA, United States
| | - Timothy Darby
- Albert Einstein College of Medicine, Bronx, NY, United States
| | - Helena M Blumen
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Juan Vazquez
- Department of Internal Medicine, John Hopkins University, Baltimore, MD, United States
| | - Kenny Q Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Tina Gao
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Shira M Siegel
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States
| | - Nir Barzilai
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Michael L Lipton
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States; Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Sofiya Milman
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, United States
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Nägele FL, Petersen M, Mayer C, Bönstrup M, Schulz R, Gerloff C, Thomalla G, Cheng B. Longitudinal microstructural alterations surrounding subcortical ischemic stroke lesions detected by free-water imaging. Hum Brain Mapp 2024; 45:e26722. [PMID: 38780442 PMCID: PMC11114091 DOI: 10.1002/hbm.26722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 03/20/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024] Open
Abstract
In this study we explore the spatio-temporal trajectory and clinical relevance of microstructural white matter changes within and beyond subcortical stroke lesions detected by free-water imaging. Twenty-seven patients with subcortical infarct with mean age of 66.73 (SD 11.57) and median initial NIHSS score of 4 (IQR 3-7) received diffusion MRI 3-5 days, 1 month, 3 months, and 12 months after symptom-onset. Extracellular free-water and fractional anisotropy of the tissue (FAT) were averaged within stroke lesions and the surrounding tissue. Linear models showed increased free-water and decreased FAT in the white matter of patients with subcortical stroke (lesion [free-water/FAT, mean relative difference in %, ipsilesional vs. contralesional hemisphere at 3-5 days, 1 month, 3 months, and 12 months after symptom-onset]: +41/-34, +111/-37, +208/-26, +251/-18; perilesional tissue [range in %]: +[5-24]/-[0.2-7], +[2-20]/-[3-16], +[5-43]/-[2-16], +[10-110]/-[2-12]). Microstructural changes were most prominent within the lesion and gradually became less pronounced with increasing distance from the lesion. While free-water elevations continuously increased over time and peaked after 12 months, FAT decreases were most evident 1 month post-stroke, gradually returning to baseline values thereafter. Higher perilesional free-water and higher lesional FAT at baseline were correlated with greater reductions in lesion size (rho = -0.51, p = .03) in unadjusted analyses only, while there were no associations with clinical measures. In summary, we find a characteristic spatio-temporal pattern of extracellular and cellular alterations beyond subcortical stroke lesions, indicating a dynamic parenchymal response to ischemia characterized by vasogenic edema, cellular damage, and white matter atrophy.
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Affiliation(s)
- Felix L. Nägele
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Marvin Petersen
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Carola Mayer
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Marlene Bönstrup
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
- Department of NeurologyUniversity of Leipzig Medical CenterLeipzigGermany
| | - Robert Schulz
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Christian Gerloff
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Götz Thomalla
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Bastian Cheng
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
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Rojczyk P, Heller C, Seitz-Holland J, Kaufmann E, Sydnor VJ, Berger L, Pankatz L, Rathi Y, Bouix S, Pasternak O, Salat D, Hinds SR, Esopenko C, Fortier CB, Milberg WP, Shenton ME, Koerte IK. Intimate partner violence perpetration among veterans: associations with neuropsychiatric symptoms and limbic microstructure. Front Neurol 2024; 15:1360424. [PMID: 38882690 PMCID: PMC11178105 DOI: 10.3389/fneur.2024.1360424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 05/03/2024] [Indexed: 06/18/2024] Open
Abstract
Background Intimate partner violence (IPV) perpetration is highly prevalent among veterans. Suggested risk factors of IPV perpetration include combat exposure, post-traumatic stress disorder (PTSD), depression, alcohol use, and mild traumatic brain injury (mTBI). While the underlying brain pathophysiological characteristics associated with IPV perpetration remain largely unknown, previous studies have linked aggression and violence to alterations of the limbic system. Here, we investigate whether IPV perpetration is associated with limbic microstructural abnormalities in military veterans. Further, we test the effect of potential risk factors (i.e., PTSD, depression, substance use disorder, mTBI, and war zone-related stress) on the prevalence of IPV perpetration. Methods Structural and diffusion-weighted magnetic resonance imaging (dMRI) data were acquired from 49 male veterans of the Iraq and Afghanistan wars (Operation Enduring Freedom/Operation Iraqi Freedom; OEF/OIF) of the Translational Research Center for TBI and Stress Disorders (TRACTS) study. IPV perpetration was assessed using the psychological aggression and physical assault sub-scales of the Revised Conflict Tactics Scales (CTS2). Odds ratios were calculated to assess the likelihood of IPV perpetration in veterans with either of the following diagnoses: PTSD, depression, substance use disorder, or mTBI. Fractional anisotropy tissue (FA) measures were calculated for limbic gray matter structures (amygdala-hippocampus complex, cingulate, parahippocampal gyrus, entorhinal cortex). Partial correlations were calculated between IPV perpetration, neuropsychiatric symptoms, and FA. Results Veterans with a diagnosis of PTSD, depression, substance use disorder, or mTBI had higher odds of perpetrating IPV. Greater war zone-related stress, and symptom severity of PTSD, depression, and mTBI were significantly associated with IPV perpetration. CTS2 (psychological aggression), a measure of IPV perpetration, was associated with higher FA in the right amygdala-hippocampus complex (r = 0.400, p = 0.005). Conclusion Veterans with psychiatric disorders and/or mTBI exhibit higher odds of engaging in IPV perpetration. Further, the more severe the symptoms of PTSD, depression, or TBI, and the greater the war zone-related stress, the greater the frequency of IPV perpetration. Moreover, we report a significant association between psychological aggression against an intimate partner and microstructural alterations in the right amygdala-hippocampus complex. These findings suggest the possibility of a structural brain correlate underlying IPV perpetration that requires further research.
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Affiliation(s)
- Philine Rojczyk
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - Carina Heller
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Clinical Psychology, Friedrich Schiller University Jena, Jena, Germany
- German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits underlying Mental Health (C-I-R-C), Halle-Jena-Magdeburg, Germany
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Elisabeth Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Valerie J Sydnor
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
| | - Luisa Berger
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - Lara Pankatz
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- Department of Software Engineering and IT, École de technologie supérieure, Montreal, QC, Canada
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - David Salat
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, United States
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA, United States
- Massachusetts General Hospital Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States
| | - Sidney R Hinds
- Department of Radiology and Neurology, Uniformed Services University, Bethesda, MD, United States
| | - Carrie Esopenko
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Catherine B Fortier
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - William P Milberg
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, United States
- Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Somerville, MA, United States
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Graduate School of Systemic Neuroscience, Ludwig-Maximilians-University, Munich, Germany
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4
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Singer R, Oganezova I, Hu W, Liu L, Ding Y, de Groot HJM, Spaink HP, Alia A. Ultrahigh field diffusion magnetic resonance imaging uncovers intriguing microstructural changes in the adult zebrafish brain caused by Toll-like receptor 2 genomic deletion. NMR IN BIOMEDICINE 2024:e5170. [PMID: 38742727 DOI: 10.1002/nbm.5170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 05/16/2024]
Abstract
Toll-like receptor 2 (TLR2) belongs to the TLR protein family that plays an important role in the immune and inflammation response system. While TLR2 is predominantly expressed in immune cells, its expression has also been detected in the brain, specifically in microglia and astrocytes. Recent studies indicate that genomic deletion of TLR2 can result in impaired neurobehavioural function. It is currently not clear if the genomic deletion of TLR2 leads to any alterations in the microstructural features of the brain. In the current study, we noninvasively assess microstructural changes in the brain of TLR2-deficient (tlr2-/-) zebrafish using state-of-the art magnetic resonance imaging (MRI) methods at ultrahigh magnetic field strength (17.6 T). A significant increase in cortical thickness and an overall trend towards increased brain volumes were observed in young tlr2-/- zebrafish. An elevated T2 relaxation time and significantly reduced apparent diffusion coefficient (ADC) unveil brain-wide microstructural alterations, potentially indicative of cytotoxic oedema and astrogliosis in the tlr2-/- zebrafish. Multicomponent analysis of the ADC diffusivity signal by the phasor approach shows an increase in the slow ADC component associated with restricted diffusion. Diffusion tensor imaging and diffusion kurtosis imaging analysis revealed diminished diffusivity and enhanced kurtosis in various white matter tracks in tlr2-/- compared with control zebrafish, identifying the microstructural underpinnings associated with compromised white matter integrity and axonal degeneration. Taken together, our findings demonstrate that the genomic deletion of TLR2 results in severe alterations to the microstructural features of the zebrafish brain. This study also highlights the potential of ultrahigh field diffusion MRI techniques in discerning exceptionally fine microstructural details within the small zebrafish brain, offering potential for investigating microstructural changes in zebrafish models of various brain diseases.
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Affiliation(s)
- Rico Singer
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
| | - Ina Oganezova
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
| | - Wanbin Hu
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Li Liu
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Yi Ding
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Huub J M de Groot
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
| | - Herman P Spaink
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - A Alia
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
- Institute of Medical Physics and Biophysics, Leipzig University, Leipzig, Germany
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5
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Barsoum S, Latimer CS, Nolan AL, Barrett A, Chang K, Troncoso J, Keene CD, Benjamini D. Resiliency to Alzheimer's disease neuropathology can be distinguished from dementia using cortical astrogliosis imaging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.06.592719. [PMID: 38766087 PMCID: PMC11100587 DOI: 10.1101/2024.05.06.592719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Despite the presence of significant Alzheimer's disease (AD) pathology, characterized by amyloid β (Aβ) plaques and phosphorylated tau (pTau) tangles, some cognitively normal elderly individuals do not inevitably develop dementia. These findings give rise to the notion of cognitive 'resilience', suggesting maintained cognitive function despite the presence of AD neuropathology, highlighting the influence of factors beyond classical pathology. Cortical astroglial inflammation, a ubiquitous feature of symptomatic AD, shows a strong correlation with cognitive impairment severity, potentially contributing to the diversity of clinical presentations. However, noninvasively imaging neuroinflammation, particularly astrogliosis, using MRI remains a significant challenge. Here we sought to address this challenge and to leverage multidimensional (MD) MRI, a powerful approach that combines relaxation with diffusion MR contrasts, to map cortical astrogliosis in the human brain by accessing sub-voxel information. Our goal was to test whether MD-MRI can map astroglial pathology in the cerebral cortex, and if so, whether it can distinguish cognitive resiliency from dementia in the presence of hallmark AD neuropathological changes. We adopted a multimodal approach by integrating histological and MRI analyses using human postmortem brain samples. Ex vivo cerebral cortical tissue specimens derived from three groups comprised of non-demented individuals with significant AD pathology postmortem, individuals with both AD pathology and dementia, and non-demented individuals with minimal AD pathology postmortem as controls, underwent MRI at 7 T. We acquired and processed MD-MRI, diffusion tensor, and quantitative T 1 and T 2 MRI data, followed by histopathological processing on slices from the same tissue. By carefully co-registering MRI and microscopy data, we performed quantitative multimodal analyses, leveraging targeted immunostaining to assess MD-MRI sensitivity and specificity towards Aβ, pTau, and glial fibrillary acidic protein (GFAP), a marker for astrogliosis. Our findings reveal a distinct MD-MRI signature of cortical astrogliosis, enabling the creation of predictive maps for cognitive resilience amid AD neuropathological changes. Multiple linear regression linked histological values to MRI changes, revealing that the MD-MRI cortical astrogliosis biomarker was significantly associated with GFAP burden (standardized β=0.658, pFDR<0.0001), but not with Aβ (standardized β=0.009, p FDR =0.913) or pTau (standardized β=-0.196, p FDR =0.051). Conversely, none of the conventional MRI parameters showed significant associations with GFAP burden in the cortex. While the extent to which pathological glial activation contributes to neuronal damage and cognitive impairment in AD is uncertain, developing a noninvasive imaging method to see its affects holds promise from a mechanistic perspective and as a potential predictor of cognitive outcomes.
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6
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Arora P, Trivedi R, Kumari M, Singh K, Sandhir R, D'Souza MM, Rana P. Altered DTI scalars in the hippocampus are associated with morphological and structural changes after traumatic brain injury. Brain Struct Funct 2024; 229:853-863. [PMID: 38381381 DOI: 10.1007/s00429-024-02758-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 01/03/2024] [Indexed: 02/22/2024]
Abstract
Blunt and diffuse injury is a highly prevalent form of traumatic brain injury (TBI) which can result in microstructural alterations in the brain. The blunt impact on the brain can affect the immediate contact region but can also affect the vulnerable regions like hippocampus, leading to functional impairment and long-lasting cognitive deficits. The hippocampus of the moderate weight drop injured male rats was longitudinally assessed for microstructural changes using in vivo MR imaging from 4 h to Day 30 post-injury (PI). The DTI analysis found a prominent decline in the apparent diffusion coefficient (ADC), radial diffusivity (RD), and axial diffusivity (AD) values after injury. The perturbed DTI scalars accompanied histological changes in the hippocampus, wherein both the microglia and astrocytes showed changes in the morphometric parameters at all timepoints. Along with this, the hippocampus showed presence of Aβ positive fibrils and neurite plaques after injury. Therefore, this study concludes that TBI can lead to a complex morphological, cellular, and structural alteration in the hippocampus which can be diagnosed using in vivo MR imaging techniques to prevent long-term functional deficits.
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Affiliation(s)
- Palkin Arora
- Radiological, Nuclear and Imaging Sciences (RNAIS), Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India
- Department of Biochemistry, Panjab University, Chandigarh, India
| | - Richa Trivedi
- Radiological, Nuclear and Imaging Sciences (RNAIS), Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India.
| | - Megha Kumari
- Radiological, Nuclear and Imaging Sciences (RNAIS), Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India
- Department of Biotechnology, Delhi Technological University (DTU), Delhi, India
| | - Kavita Singh
- Radiological, Nuclear and Imaging Sciences (RNAIS), Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India
| | - Rajat Sandhir
- Department of Biochemistry, Panjab University, Chandigarh, India
| | - Maria M D'Souza
- Radiological, Nuclear and Imaging Sciences (RNAIS), Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India
| | - Poonam Rana
- Radiological, Nuclear and Imaging Sciences (RNAIS), Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India
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7
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Bonaventura J, Morara K, Carlson R, Comrie C, Twer A, Hutchinson E, Sawyer TW. Evaluating backscattering polarized light imaging microstructural mapping capabilities through neural tissue and analogous phantom imaging. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:052914. [PMID: 38077501 PMCID: PMC10704260 DOI: 10.1117/1.jbo.29.5.052914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 10/01/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023]
Abstract
Significance Knowledge of fiber microstructure and orientation in the brain is critical for many applications. Polarized light imaging (PLI) has been shown to have potential for better understanding neural fiber microstructure and directionality due to the anisotropy in myelin sheaths surrounding nerve fibers of the brain. Continuing to advance backscattering based PLI systems could provide a valuable avenue for in vivo neural imaging. Aim To assess the potential of backscattering PLI systems, the ability to resolve crossing fibers, and the sensitivity to fiber inclination and curvature are considered across different imaging wavelengths. Approach Investigation of these areas of relative uncertainty is undergone through imaging potential phantoms alongside analogous regions of interest in fixed ferret brain samples with a five-wavelength backscattering Mueller matrix polarimeter. Results Promising phantoms are discovered for which the retardance, diattenuation and depolarization mappings are derived from the Mueller matrix and studied to assess the sensitivity of this polarimeter configuration to fiber orientations and tissue structures. Conclusions Rich avenues for future study include further classifying this polarimeter's sensitivity to fiber inclination and fiber direction to accurately produce microstructural maps of neural tissue.
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Affiliation(s)
- Justina Bonaventura
- University of Arizona, Wyant College of Optical Sciences, Tucson, Arizona, United States
| | - Kellys Morara
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - Rhea Carlson
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - Courtney Comrie
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - AnneLeigh Twer
- University of Arizona, Department of Molecular and Cellular Biology, Tucson, Arizona, United States
| | - Elizabeth Hutchinson
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - Travis W. Sawyer
- University of Arizona, Wyant College of Optical Sciences, Tucson, Arizona, United States
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
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8
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Brett BL, Klein AP, Vazirnia P, Omidfar S, Guskiewicz KK, McCrea M, Meier T. White Matter Hyperintensities and Microstructural Alterations in Contact Sport Athletes from Adolescence to Early Midlife. J Neurotrauma 2024. [PMID: 38661548 DOI: 10.1089/neu.2023.0609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024] Open
Abstract
Studies have demonstrated associations between cumulative concussion and repetitive head impact exposure (RHI) via contact sports with white matter (WM) alterations later in life. The course of WM changes associated with exposure earlier in the lifespan are unclear. This study investigated alterations in white matter (WM hyperintensity [WMH] volume and microstructural changes) associated with concussion and RHI exposure from adolescence to early midlife, as well as the interaction between exposure and age-cohort (i.e., adolescent/young adult compared to early midlife athlete cohorts) on WM outcomes. Participating football players included an adolescent/young adulthood cohort (n=82; Mage=18.41.7) and an early midlife cohort (37 former collegiate players approximately 15-years removed from sport; Mage=37.71.4). Years of football participation and number of prior concussions were exposures of interest. White matter outcomes included log-transformed manually segmented total WMH volume and neurite orientation dispersion and density imaging metrics of microstructure/organization (isotropic volume fraction[Viso], intra-cellular volume fraction[Vic], and orientation dispersion[OD]). Regression models were fit to test effects of concussion history, years of football participation, and age-cohort by years of football participation with WM outcomes. Spearman's correlations assessed associations between significant WM metrics and measures of cognitive and psychological function. A significant age-cohort by years of participation effect was observed for whole brain white matter OD, B=-0.002, SE=0.001, p=0.001. The interaction was driven by a negative association between years of participation and OD within the younger cohort, B=-0.001, SE=0.0004, p=0.008, whereas a positive association between participation and OD in the early midlife cohort, B=0.001, SE=0.0003, p=0.039, was observed. Follow-up ROI analyses showed significant interaction effects for OD in the body of the corpus callosum, genu of the corpus callosum, cingulum, inferior fronto-occipital fasciculus, superior longitudinal fasciculus, posterior thalamic radiation (ps<0.05). Greater concussion history was significantly associated with greater Viso in the early midlife cohort, B=0.001, SE= 0.0002, p=0.010. Years of participation and concussion history were not associated with WMH volume, ps>0.05. Performance on a measure of executive function was significantly associated with years of participation, =.34, p=.04, and a trend was observed for OD, =.28, p=.09 in the early midlife cohort only. The global characterization of white matter changes associated with years of football participation were broadly similar and stable from adolescence through early midlife (i.e., microstructural alterations, but not macroscopic lesions). An inverse association between years of participation and orientation dispersion across age-cohorts may represent a process of initial recovery/reorganization proximal to sport, followed by later reduction of white matter coherence.
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Affiliation(s)
- Benjamin L Brett
- Medical College of Wisconsin, 5506, Neurosurgery and Neurology, 8701 W Watertown Plank Rd, Milwaukee, Wisconsin, United States, 53226;
| | - Andrew P Klein
- Medical College of Wisconsin, 5506, Radiology, 9200 West Wisconsin Ave, Milwaukee, Wisconsin, United States, 53226;
| | - Parsia Vazirnia
- Medical College of Wisconsin, 5506, Milwaukee, Wisconsin, United States;
| | - Samantha Omidfar
- Medical College of Wisconsin, 5506, Milwaukee, Wisconsin, United States;
| | - Kevin K Guskiewicz
- University of North Carolina, Exercise and Sport Science, CB#8700, Chapel Hill, North Carolina, United States, 27599-8700;
| | - Michael McCrea
- Medical College of Wisconsin, Neurosurgery, Hub for Collaborative Medicine, 8701 Watertown Plank Road, Milwaukee, Wisconsin, United States, 53226;
| | - Timothy Meier
- Medical College of Wisconsin, Neurosurgery, 8701 Watertown Plank Road, Milwaukee, Wisconsin, United States, 53226;
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Kim S, Ollinger J, Song C, Raiciulescu S, Seenivasan S, Wolfgang A, Kim H, Werner JK, Yeh PH. White Matter Alterations in Military Service Members With Remote Mild Traumatic Brain Injury. JAMA Netw Open 2024; 7:e248121. [PMID: 38635266 PMCID: PMC11161843 DOI: 10.1001/jamanetworkopen.2024.8121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 02/25/2024] [Indexed: 04/19/2024] Open
Abstract
Importance Mild traumatic brain injury (mTBI) is the signature injury experienced by military service members and is associated with poor neuropsychiatric outcomes. Yet, there is a lack of reliable clinical tools for mTBI diagnosis and prognosis. Objective To examine the white matter microstructure and neuropsychiatric outcomes of service members with a remote history of mTBI (ie, mTBI that occurred over 2 years ago) using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Design, Setting, and Participants This case-control study examined 98 male service members enrolled in a study at the National Intrepid Center of Excellence. Eligible participants were active duty status or able to enroll in the Defense Enrollment Eligibility Reporting system, ages 18 to 60 years, and had a remote history of mTBI; controls were matched by age. Exposures Remote history of mTBI. Main Outcomes and Measures White matter microstructure was assessed using a region-of-interest approach of skeletonized diffusion images, including DTI (fractional anisotropy, mean diffusivity, radial diffusivity and axial diffusivity) and NODDI (orientation dispersion index [ODI], isotropic volume fraction, intra-cellular volume fraction). Neuropsychiatric outcomes associated with posttraumatic stress disorder (PTSD) and postconcussion syndrome were assessed. Results A total of 65 male patients with a remote history of mTBI (mean [SD] age, 40.5 [5.0] years) and 33 age-matched male controls (mean [SD] age, 38.9 [5.6] years) were included in analysis. Compared with the control cohort, the 65 service members with mTBI presented with significantly more severe PTSD-like symptoms (mean [SD] PTSD CheckList-Civilian [PCL-C] version scores: control, 19.0 [3.8] vs mTBI, 41.2 [11.6]; P < .001). DTI and NODDI metrics were altered in the mTBI group compared with the control, including intra-cellular volume fraction of the right cortico-spinal tract (β = -0.029, Cohen d = 0.66; P < .001), ODI of the left posterior thalamic radiation (β = -0.006, Cohen d = 0.55; P < .001), and ODI of the left uncinate fasciculus (β = 0.013, Cohen d = 0.61; P < .001). In service members with mTBI, fractional anisotropy of the left uncinate fasciculus was associated with postconcussion syndrome (β = 5.4 × 10-3; P = .003), isotropic volume fraction of the genu of the corpus callosum with PCL-C (β = 4.3 × 10-4; P = .01), and ODI of the left fornix and stria terminalis with PCL-C avoidance scores (β = 1.2 × 10-3; P = .02). Conclusions and Relevance In this case-control study of military-related mTBI, the results suggest that advanced magnetic resonance imaging techniques using NODDI can reveal white matter microstructural alterations associated with neuropsychiatric symptoms in the chronic phase of mTBI. Diffusion trends observed throughout widespread white matter regions-of-interest may reflect mechanisms of neurodegeneration as well as postinjury tissue scarring and reorganization.
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Affiliation(s)
- Sharon Kim
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - John Ollinger
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Chihwa Song
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Sorana Raiciulescu
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Srija Seenivasan
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Aaron Wolfgang
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Directorate of Behavioral Health, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Hosung Kim
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - J. Kent Werner
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Neurology, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Ping-Hong Yeh
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
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10
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DeSimone JC, Wang W, Loewenstein DA, Duara R, Smith GE, McFarland KN, Armstrong MJ, Weber DM, Barker W, Coombes SA, Vaillancourt DE. Diffusion MRI relates to plasma Aβ42/40 in PET negative participants without dementia. Alzheimers Dement 2024; 20:2830-2842. [PMID: 38441274 PMCID: PMC11032550 DOI: 10.1002/alz.13693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 03/10/2024]
Abstract
INTRODUCTION Magnetic resonance imaging (MRI) biomarkers are needed for indexing early biological stages of Alzheimer's disease (AD), such as plasma amyloid-β (Aβ42/40) positivity in Aβ positron emission tomography (PET) negative individuals. METHODS Diffusion free-water (FW) MRI was acquired in individuals with normal cognition (NC) and mild cognitive impairment (MCI) with Aβ plasma-/PET- (NC = 22, MCI = 60), plasma+/PET- (NC = 5, MCI = 20), and plasma+/PET+ (AD dementia = 21) biomarker status. Gray and white matter FW and fractional anisotropy (FAt) were compared cross-sectionally and the relationships between imaging, plasma and PET biomarkers were assessed. RESULTS Plasma+/PET- demonstrated increased FW (24 regions) and decreased FAt (66 regions) compared to plasma-/PET-. FW (16 regions) and FAt (51 regions) were increased in plasma+/PET+ compared to plasma+/PET-. Composite brain FW correlated with plasma Aβ42/40 and p-tau181. DISCUSSION FW imaging changes distinguish plasma Aβ42/40 positive and negative groups, independent of group differences in cognitive status, Aβ PET status, and other plasma biomarkers (i.e., t-tau, p-tau181, glial fibrillary acidic protein, neurofilament light). HIGHLIGHTS Plasma Aβ42/40 positivity is associated with brain microstructure decline. Plasma+/PET- demonstrated increased FW in 24 total GM and WM regions. Plasma+/PET- demonstrated decreased FAt in 66 total GM and WM regions. Whole-brain FW correlated with plasma Aβ42/40 and p-tau181 measures. Plasma+/PET- demonstrated decreased cortical volume and thickness.
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Affiliation(s)
- Jesse C. DeSimone
- Department of Applied Physiology and KinesiologyUniversity of FloridaGainesvilleFloridaUSA
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
| | - Wei‐en Wang
- Department of Applied Physiology and KinesiologyUniversity of FloridaGainesvilleFloridaUSA
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
| | - David A. Loewenstein
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- Center for Cognitive Neuroscience and AgingUniversity of Miami Miller School of MedicineMiamiFloridaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Ranjan Duara
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- Wien Center for Alzheimer's Disease and Memory DisordersMount Sinai Medical CenterMiami BeachFloridaUSA
| | - Glenn E. Smith
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- Department of Clinical and Health PsychologyUniversity of FloridaGainesvilleFloridaUSA
| | - Karen N. McFarland
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- Department of NeurologyUniversity of FloridaGainesvilleFloridaUSA
| | - Melissa J. Armstrong
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- Department of NeurologyUniversity of FloridaGainesvilleFloridaUSA
- Norman Fixel Institute for Neurological DiseasesUniversity of FloridaGainesvilleFloridaUSA
| | - Darren M. Weber
- Quest Diagnostics Nichols InstituteSan Juan CapistranoCaliforniaUSA
| | - Warren Barker
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- Wien Center for Alzheimer's Disease and Memory DisordersMount Sinai Medical CenterMiami BeachFloridaUSA
| | - Stephen A. Coombes
- Department of Applied Physiology and KinesiologyUniversity of FloridaGainesvilleFloridaUSA
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- J. Crayton Pruitt Family Department of Biomedical EngineeringUniversity of FloridaGainesvilleFloridaUSA
| | - David E. Vaillancourt
- Department of Applied Physiology and KinesiologyUniversity of FloridaGainesvilleFloridaUSA
- 1Florida Alzheimer's Disease Research CenterGainesvilleFloridaUSA
- Department of NeurologyUniversity of FloridaGainesvilleFloridaUSA
- Norman Fixel Institute for Neurological DiseasesUniversity of FloridaGainesvilleFloridaUSA
- J. Crayton Pruitt Family Department of Biomedical EngineeringUniversity of FloridaGainesvilleFloridaUSA
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11
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Lee J, Baniewicz E, Peterkin NL, Greenman D, Griffin AD, Jikaria N, Turtzo LC, Luby M, Latour LL. Edema progression in proximity to traumatic microbleeds: evolution of cytotoxic and vasogenic edema on serial MRI. NEUROIMAGE. REPORTS 2024; 4:100199. [PMID: 38558768 PMCID: PMC10976922 DOI: 10.1016/j.ynirp.2024.100199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Introduction Although cerebral edema is common following traumatic brain injury (TBI), its formation and progression are poorly understood. This is especially true for the mild TBI population, who rarely undergo magnetic resonance imaging (MRI) studies, which can pick up subtle structural details not visualized on computed tomography, in the first few days after injury. This study aimed to visually classify and quantitatively measure edema progression in relation to traumatic microbleeds (TMBs) in a cohort of primarily mild TBI patients up to 30 days after injury. Researchers hypothesized that hypointense lesions on Apparent Diffusion Coefficient (ADC) detected acutely after injury would evolve into hyperintense Fluid Attenuated Inversion Recover (FLAIR) lesions. Methods This study analyzed the progression of cerebral edema after acute injury using multimodal MRI to classify TMBs as potential edema-related biomarkers. ADC and FLAIR MRI were utilized for edema classification at three different timepoints: ≤48 hours, ~1 week, and 30 days after injury. Hypointense lesions on ADC (ADC+) suggested the presence of cytotoxic edema while hyperintense lesions on FLAIR (FLAIR+) suggested vasogenic edema. Signal intensity Ratio (SIR) calculations were made using ADC and FLAIR to quantitatively confirm edema progression. Results Our results indicated the presence of ADC+ lesions ≤48 hours and ~1 week were associated with FLAIR+ lesions at ~1 week and 30 days, respectively, suggesting some progression of cytotoxic edema to vasogenic edema over time. Ten out of 15 FLAIR+ lesions at 30 days (67%) were ADC+ ≤48 hours. However, ADC+ lesions ≤48 hours were not associated with FLAIR+ lesions at 30 days; 10 out of 25 (40%) ADC+ lesions ≤48 hours were FLAIR+ at 30 days, which could indicate that some lesions resolved or were not visualized due to associated atrophy or tissue necrosis. Quantitative analysis confirmed the visual progression of some TMB lesions from ADC+ to FLAIR+. FLAIR SIRs at ~1 week were significantly higher when lesions were ADC+ ≤48 hours (1.22 [1.08-1.32] vs 1.03 [0.97-1.11], p=0.002). Conclusion Awareness of how cerebral edema can evolve in proximity to TMBs acutely after injury may facilitate identification and monitoring of patients with traumatic cerebrovascular injury and assist in development of novel therapeutic strategies.
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Affiliation(s)
- Jacquie Lee
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
- American University, Washington (DC), United States
| | - Emily Baniewicz
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
| | - Nicole L. Peterkin
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
| | - Danielle Greenman
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
- University of California Riverside, Department of Psychology, Riverside, (CA), United States
| | - Allison D. Griffin
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
- Vanderbilt University Institute of Imaging Science, Department of Radiology & Radiological Sciences, Nashville, (TN), United States
| | - Neekita Jikaria
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
- Penn State College of Medicine, Department of Surgery, Hershey, (PA), United States
| | - L. Christine Turtzo
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
| | - Marie Luby
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
| | - Lawrence L. Latour
- Acute Cerebrovascular Diagnostics Unit, National Institute of Neurological Disorders and Stroke, Bethesda (MD), United States
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12
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Lin CP, Frigerio I, Bol JGJM, Bouwman MMA, Wesseling AJ, Dahl MJ, Rozemuller AJM, van der Werf YD, Pouwels PJW, van de Berg WDJ, Jonkman LE. Microstructural integrity of the locus coeruleus and its tracts reflect noradrenergic degeneration in Alzheimer's disease and Parkinson's disease. Transl Neurodegener 2024; 13:9. [PMID: 38336865 PMCID: PMC10854137 DOI: 10.1186/s40035-024-00400-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Degeneration of the locus coeruleus (LC) noradrenergic system contributes to clinical symptoms in Alzheimer's disease (AD) and Parkinson's disease (PD). Diffusion magnetic resonance imaging (MRI) has the potential to evaluate the integrity of the LC noradrenergic system. The aim of the current study was to determine whether the diffusion MRI-measured integrity of the LC and its tracts are sensitive to noradrenergic degeneration in AD and PD. METHODS Post-mortem in situ T1-weighted and multi-shell diffusion MRI was performed for 9 AD, 14 PD, and 8 control brain donors. Fractional anisotropy (FA) and mean diffusivity were derived from the LC, and from tracts between the LC and the anterior cingulate cortex, the dorsolateral prefrontal cortex (DLPFC), the primary motor cortex (M1) or the hippocampus. Brain tissue sections of the LC and cortical regions were obtained and immunostained for dopamine-beta hydroxylase (DBH) to quantify noradrenergic cell density and fiber load. Group comparisons and correlations between outcome measures were performed using linear regression and partial correlations. RESULTS The AD and PD cases showed loss of LC noradrenergic cells and fibers. In the cortex, the AD cases showed increased DBH + immunoreactivity in the DLPFC compared to PD cases and controls, while PD cases showed reduced DBH + immunoreactivity in the M1 compared to controls. Higher FA within the LC was found for AD, which was correlated with loss of noradrenergic cells and fibers in the LC. Increased FA of the LC-DLPFC tract was correlated with LC noradrenergic fiber loss in the combined AD and control group, whereas the increased FA of the LC-M1 tract was correlated with LC noradrenergic neuronal loss in the combined PD and control group. The tract alterations were not correlated with cortical DBH + immunoreactivity. CONCLUSIONS In AD and PD, the diffusion MRI-detected alterations within the LC and its tracts to the DLPFC and the M1 were associated with local noradrenergic neuronal loss within the LC, rather than noradrenergic changes in the cortex.
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Affiliation(s)
- Chen-Pei Lin
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands.
| | - Irene Frigerio
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
| | - John G J M Bol
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Maud M A Bouwman
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
| | - Alex J Wesseling
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
| | - Martin J Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195, Berlin, Germany
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Annemieke J M Rozemuller
- Amsterdam UMC, Department of Pathology, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Ysbrand D van der Werf
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity and Attention Program, Amsterdam, The Netherlands
| | - Petra J W Pouwels
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
- Amsterdam UMC, Department of Radiology and Nuclear Medicine, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Wilma D J van de Berg
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Laura E Jonkman
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
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13
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Kazis D, Chatzikonstantinou S, Ciobica A, Kamal FZ, Burlui V, Calin G, Mavroudis I. Epidemiology, Risk Factors, and Biomarkers of Post-Traumatic Epilepsy: A Comprehensive Overview. Biomedicines 2024; 12:410. [PMID: 38398011 PMCID: PMC10886732 DOI: 10.3390/biomedicines12020410] [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: 01/23/2024] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
This paper presents an in-depth exploration of Post-Traumatic Epilepsy (PTE), a complex neurological disorder following traumatic brain injury (TBI), characterized by recurrent, unprovoked seizures. With TBI being a global health concern, understanding PTE is crucial for effective diagnosis, management, and prognosis. This study aims to provide a comprehensive overview of the epidemiology, risk factors, and emerging biomarkers of PTE, thereby informing clinical practice and guiding future research. The epidemiological aspect of the study reveals PTE as a significant contributor to acquired epilepsies, with varying incidence influenced by injury severity, age, and intracranial pathologies. The paper delves into the multifactorial nature of PTE risk factors, encompassing clinical, demographic, and genetic elements. Key insights include the association of injury severity, intracranial hemorrhages, and early seizures with increased PTE risk, and the roles of age, gender, and genetic predispositions. Advancements in neuroimaging, electroencephalography, and molecular biology are presented, highlighting their roles in identifying potential PTE biomarkers. These biomarkers, ranging from radiological signs to electroencephalography EEG patterns and molecular indicators, hold promise for enhancing PTE pathogenesis understanding, early diagnosis, and therapeutic guidance. The paper also discusses the critical roles of astrocytes and microglia in PTE, emphasizing the significance of neuroinflammation in PTE development. The insights from this review suggest potential therapeutic targets in neuroinflammation pathways. In conclusion, this paper synthesizes current knowledge in the field, emphasizing the need for continued research and a multidisciplinary approach to effectively manage PTE. Future research directions include longitudinal studies for a better understanding of TBI and PTE outcomes, and the development of targeted interventions based on individualized risk profiles. This research contributes significantly to the broader understanding of epilepsy and TBI.
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Affiliation(s)
- Dimitrios Kazis
- Third Department of Neurology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (D.K.)
| | - Symela Chatzikonstantinou
- Third Department of Neurology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (D.K.)
| | - Alin Ciobica
- Department of Biology, Faculty of Biology, Alexandru Ioan Cuza University of Iasi, 20th Carol I Avenue, 700506 Iasi, Romania;
- Center of Biomedical Research, Romanian Academy, Iasi Branch, Teodor Codrescu 2, 700481 Iasi, Romania
- Academy of Romanian Scientists, 3 Ilfov, 050044 Bucharest, Romania
| | - Fatima Zahra Kamal
- Higher Institute of Nursing Professions and Health Technical (ISPITS), Marrakech 40000, Morocco
- Laboratory of Physical Chemistry of Processes and Materials, Faculty of Sciences and Techniques, Hassan First University, Settat 26000, Morocco
| | - Vasile Burlui
- Department of Biomaterials, Faculty of Dental Medicine, Apollonia University, 700511 Iasi, Romania;
| | - Gabriela Calin
- Department of Biomaterials, Faculty of Dental Medicine, Apollonia University, 700511 Iasi, Romania;
| | - Ioannis Mavroudis
- Department of Neuroscience, Leeds Teaching Hospitals, Leeds LS2 9JT, UK
- Faculty of Medicine, Leeds University, Leeds LS2 9JT, UK
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14
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Acar D, Ozcelik EU, Baykan B, Bebek N, Demiralp T, Bayram A. Diffusion tensor imaging in photosensitive and nonphotosensitive juvenile myoclonic epilepsy. Seizure 2024; 115:36-43. [PMID: 38183826 DOI: 10.1016/j.seizure.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 11/27/2023] [Accepted: 12/22/2023] [Indexed: 01/08/2024] Open
Abstract
INTRODUCTION/BACKGROUND Juvenile myoclonic epilepsy (JME) syndrome is known to cause alterations in brain structure and white matter integrity. The study aimed to determine structural white matter changes in patients with JME and to reveal the differences between the photosensitive (PS) and nonphotosensitive (NPS) subgroups by diffusion tensor imaging (DTI) using the tract-based spatial statistics (TBSS) method. METHODS This study included data from 16 PS, 15 NPS patients with JME, and 41 healthy participants. The mean fractional anisotropy (FA) values of these groups were calculated, and comparisons were made via the TBSS method over FA values in the whole-brain and 81 regions of interest (ROI) obtained from the John Hopkins University White Matter Atlas. RESULTS In the whole-brain TBSS analysis, no significant differences in FA values were observed in pairwise comparisons of JME patient group and subgroups with healthy controls (HCs) and in comparison between JME subgroups. In ROI-based TBSS analysis, an increase in FA values of right anterior corona radiata and left corticospinal pathways was found in JME patient group compared with HC group. When comparing JME-PS patients with HCs, an FA increase was observed in the bilateral anterior corona radiata region, whereas when comparing JME-NPS patients with HCs, an FA increase was observed in bilateral corticospinal pathway. Moreover, in subgroup comparison, an increase in FA values was noted in corpus callosum genu region in JME-PS compared with JME-NPS. CONCLUSIONS Our results support the disruption in thalamofrontal white matter integrity in JME, and subgroups and highlight the importance of using different analysis methods to show the underlying microstructural changes.
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Affiliation(s)
- Dilan Acar
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Türkiye; Hulusi Behçet Life Sciences Research Laboratory, Istanbul University, Istanbul, Türkiye
| | - Emel Ur Ozcelik
- Departments of Neurology and Clinical Neurophysiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye; Department of Neurology, Istanbul Kanuni Sultan Suleyman Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye.
| | - Betül Baykan
- Departments of Neurology and Clinical Neurophysiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye; Department of Neurology, Istanbul EMAR Medical Center, Istanbul, Türkiye
| | - Nerses Bebek
- Departments of Neurology and Clinical Neurophysiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye
| | - Tamer Demiralp
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye
| | - Ali Bayram
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Türkiye; Hulusi Behçet Life Sciences Research Laboratory, Istanbul University, Istanbul, Türkiye
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15
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Goeckner BD, Brett BL, Mayer AR, España LY, Banerjee A, Muftuler LT, Meier TB. Associations of prior concussion severity with brain microstructure using mean apparent propagator magnetic resonance imaging. Hum Brain Mapp 2024; 45:e26556. [PMID: 38158641 PMCID: PMC10789198 DOI: 10.1002/hbm.26556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 10/16/2023] [Accepted: 11/21/2023] [Indexed: 01/03/2024] Open
Abstract
Magnetic resonance imaging (MRI) diffusion studies have shown chronic microstructural tissue abnormalities in athletes with history of concussion, but with inconsistent findings. Concussions with post-traumatic amnesia (PTA) and/or loss of consciousness (LOC) have been connected to greater physiological injury. The novel mean apparent propagator (MAP) MRI is expected to be more sensitive to such tissue injury than the conventional diffusion tensor imaging. This study examined effects of prior concussion severity on microstructure with MAP-MRI. Collegiate-aged athletes (N = 111, 38 females; ≥6 months since most recent concussion, if present) completed semistructured interviews to determine the presence of prior concussion and associated injury characteristics, including PTA and LOC. MAP-MRI metrics (mean non-Gaussian diffusion [NG Mean], return-to-origin probability [RTOP], and mean square displacement [MSD]) were calculated from multi-shell diffusion data, then evaluated for associations with concussion severity through group comparisons in a primary model (athletes with/without prior concussion) and two secondary models (athletes with/without prior concussion with PTA and/or LOC, and athletes with/without prior concussion with LOC only). Bayesian multilevel modeling estimated models in regions of interest (ROI) in white matter and subcortical gray matter, separately. In gray matter, the primary model showed decreased NG Mean and RTOP in the bilateral pallidum and decreased NG Mean in the left putamen with prior concussion. In white matter, lower NG Mean with prior concussion was present in all ROI across all models and was further decreased with LOC. However, only prior concussion with LOC was associated with decreased RTOP and increased MSD across ROI. Exploratory analyses conducted separately in male and female athletes indicate associations in the primary model may differ by sex. Results suggest microstructural measures in gray matter are associated with a general history of concussion, while a severity-dependent association of prior concussion may exist in white matter.
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Affiliation(s)
- Bryna D. Goeckner
- Department of BiophysicsMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Benjamin L. Brett
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of NeurologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Andrew R. Mayer
- The Mind Research Network/Lovelace Biomedical and Environmental Research InstituteAlbuquerqueNew MexicoUSA
- Departments of Neurology and PsychiatryUniversity of New Mexico School of MedicineAlbuquerqueNew MexicoUSA
- Department of PsychologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Lezlie Y. España
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Anjishnu Banerjee
- Department of BiostatisticsMedical College of WisconsinMilwaukeeWisconsinUSA
| | - L. Tugan Muftuler
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Timothy B. Meier
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of Biomedical EngineeringMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of Cell Biology, Neurobiology and AnatomyMedical College of WisconsinMilwaukeeWisconsinUSA
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16
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Jia J, Xu S, Hu J, Gan Y, Sun M, Xia S, Bao X, Zhang M, Xu Y. Growth arrest specific protein 6 alleviated white matter injury after experimental ischemic stroke. J Cereb Blood Flow Metab 2024; 44:77-93. [PMID: 37794790 PMCID: PMC10905636 DOI: 10.1177/0271678x231205078] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/09/2023] [Accepted: 09/11/2023] [Indexed: 10/06/2023]
Abstract
Ischemic white matter injury leads to long-term neurological deficits and lacks effective medication. Growth arrest specific protein 6 (Gas6) clears myelin debris, which is hypothesized to promote white matter integrity in experimental stroke models. By the middle cerebral artery occlusion (MCAO) stroke model, we observed that Gas6 reduced infarcted volume and behavior deficits 4 weeks after MCAO. Compared with control mice, Gas6-treatment mice represented higher FA values in the ipsilateral external capsules by MRI DTI scan. The SMI32/MBP ratio of the ipsilateral cortex and striatum was profoundly alleviated by Gas6 administration. Gas6-treatment group manifested thicker myelin sheaths than the control group by electron microscopy. We observed that Gas6 mainly promoted OPC maturation, which was closely related to microglia. Mechanically, Gas6 accelerated microglia-mediated myelin debris clearance and cholesterol transport protein expression (abca1, abcg1, apoc1, apoe) in vivo and in vitro, accordingly less myelin debris and lipid deposited in Gas6 treated stroke mice. HX531 (RXR inhibitor) administration mitigated the functions of Gas6 in speeding up debris clearance and cholesterol transport protein expression. Generally, we concluded that Gas6 cleared myelin debris and promoted cholesterol transportation protein expression through activating RXR, which could be one critical mechanism contributing to white matter repair after stroke.
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Affiliation(s)
- Junqiu Jia
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Siyi Xu
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Zhenjiang, China
| | - Jinglong Hu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yonghui Gan
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Min Sun
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Shengnan Xia
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xinyu Bao
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Meijuan Zhang
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
- Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Zhenjiang, China
- Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, China
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
- Jiangsu Provincial medical key discipline, Nanjing, China
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17
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Mayer AR, Dodd AB, Robertson-Benta CR, Zotev V, Ryman SG, Meier TB, Campbell RA, Phillips JP, van der Horn HJ, Hogeveen J, Tarawneh R, Sapien RE. Multifaceted neural and vascular pathologies after pediatric mild traumatic brain injury. J Cereb Blood Flow Metab 2024; 44:118-130. [PMID: 37724718 PMCID: PMC10905640 DOI: 10.1177/0271678x231197188] [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: 03/06/2023] [Revised: 06/01/2023] [Accepted: 07/25/2023] [Indexed: 09/21/2023]
Abstract
Dynamic changes in neurodevelopment and cognitive functioning occur during adolescence, including a switch from reactive to more proactive forms of cognitive control, including response inhibition. Pediatric mild traumatic brain injury (pmTBI) affects these cognitions immediately post-injury, but the role of vascular versus neural injury in cognitive dysfunction remains debated. This study consecutively recruited 214 sub-acute pmTBI (8-18 years) and age/sex-matched healthy controls (HC; N = 186), with high retention rates (>80%) at four months post-injury. Multimodal imaging (functional MRI during response inhibition, cerebral blood flow and cerebrovascular reactivity) assessed for pathologies within the neurovascular unit. Patients exhibited increased errors of commission and hypoactivation of motor circuitry during processing of probes. Evidence of increased/delayed cerebrovascular reactivity within motor circuitry during hypercapnia was present along with normal perfusion. Neither age-at-injury nor post-concussive symptom load were strongly associated with imaging abnormalities. Collectively, mild cognitive impairments and clinical symptoms may continue up to four months post-injury. Prolonged dysfunction within the neurovascular unit was observed during proactive response inhibition, with preliminary evidence that neural and pure vascular trauma are statistically independent. These findings suggest pmTBI is characterized by multifaceted pathologies during the sub-acute injury stage that persist several months post-injury.
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Affiliation(s)
- Andrew R Mayer
- The Mind Research Network/LBERI, Albuquerque, NM, USA
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
- Department of Neurology, University of New Mexico, Albuquerque, NM, USA
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA
| | - Andrew B Dodd
- The Mind Research Network/LBERI, Albuquerque, NM, USA
| | | | - Vadim Zotev
- The Mind Research Network/LBERI, Albuquerque, NM, USA
| | | | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Richard A Campbell
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA
| | - John P Phillips
- The Mind Research Network/LBERI, Albuquerque, NM, USA
- Department of Neurology, University of New Mexico, Albuquerque, NM, USA
| | | | - Jeremy Hogeveen
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - Rawan Tarawneh
- Department of Neurology, University of New Mexico, Albuquerque, NM, USA
| | - Robert E Sapien
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM, USA
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18
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Vinh To X, Kurniawan ND, Cumming P, Nasrallah FA. A cross-comparative analysis of in vivo versus ex vivo MRI indices in a mouse model of concussion. Brain Res 2023; 1820:148562. [PMID: 37673379 DOI: 10.1016/j.brainres.2023.148562] [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: 04/19/2023] [Revised: 08/01/2023] [Accepted: 08/31/2023] [Indexed: 09/08/2023]
Abstract
BACKGROUND We present a cross-sectional, case-matched, and pair-wise comparison of structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), and neurite orientation dispersion and density imaging (NODDI) measures in vivo and ex vivo in a mouse model of concussion, thus aiming to establish the concordance of structural and diffusion imaging findings in living brain and after fixation. METHODS We allocated 28 male mice aged 3-4 months to sham injury and concussion (CON) groups. CON mice had received a single concussive impact on day 0 and underwent MRI at day 2 (n = 9) or 7 (n = 10) post-impact, and sham control mice likewise underwent imaging at day 2 (n = 5) or 7 (n = 4). Immediately after the final scanning, we collected the perfusion-fixed brains, which were stored for imaging ex vivo 6-12 months later. We then compared the structural imaging, DTI, and NODDI results between different methods. RESULTS In vivo to ex vivo structural and DTI/NODDI findings were in notably poor agreement regarding the effects of concussion on structural integrity of the brain. COMPARISON WITH EXISTING METHODS ex vivo imaging was frequently done to study the effects of diseases and treatments, but our results showed that ex vivo and in vivo imaging can detect completely opposite and contradictory results. This is also the first study that compares in vivo and ex vivo NODDI. CONCLUSION Our findings call for caution in extrapolating translational capabilities obtained ex vivo to physiological measurements in vivo. The divergent findings may reflect fixation artefacts and the contribution of the glymphatic system changes.
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Affiliation(s)
- Xuan Vinh To
- The Queensland Brain Institute, The University of Queensland, Australia
| | | | - Paul Cumming
- Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland; School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
| | - Fatima A Nasrallah
- The Queensland Brain Institute, The University of Queensland, Australia; Centre for Advanced Imaging, The University of Queensland, Australia.
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19
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Sarkislali K, Kobayashi K, Sarić N, Maeda T, Henmi S, Somaa FA, Bansal A, Tu SC, Leonetti C, Hsu CH, Li J, Vyas P, Kawasawa YI, Tu TW, Wang PC, Hanley PJ, Hashimoto-Torii K, Frank JA, Jonas RA, Ishibashi N. Mesenchymal Stromal Cell Delivery Via Cardiopulmonary Bypass Provides Neuroprotection in a Juvenile Porcine Model. JACC Basic Transl Sci 2023; 8:1521-1535. [PMID: 38205346 PMCID: PMC10774600 DOI: 10.1016/j.jacbts.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 06/13/2023] [Accepted: 07/05/2023] [Indexed: 01/12/2024]
Abstract
Oxidative/inflammatory stresses due to cardiopulmonary bypass (CPB) cause prolonged microglia activation and cortical dysmaturation, thereby contributing to neurodevelopmental impairments in children with congenital heart disease (CHD). This study found that delivery of mesenchymal stromal cells (MSCs) via CPB minimizes microglial activation and neuronal apoptosis, with subsequent improvement of cortical dysmaturation and behavioral alteration after neonatal cardiac surgery. Furthermore, transcriptomic analyses suggest that exosome-derived miRNAs may be the key drivers of suppressed apoptosis and STAT3-mediated microglial activation. Our findings demonstrate that MSC treatment during cardiac surgery has significant translational potential for improving cortical dysmaturation and neurological impairment in children with CHD.
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Affiliation(s)
- Kamil Sarkislali
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
| | - Kei Kobayashi
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
- Children’s National Heart Institute, Children’s National Hospital, Washington, DC, USA
| | - Nemanja Sarić
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
| | - Takuya Maeda
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
| | - Soichiro Henmi
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
- Children’s National Heart Institute, Children’s National Hospital, Washington, DC, USA
| | - Fahad A. Somaa
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
| | - Ankush Bansal
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
| | - Shao Ching Tu
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
| | - Camille Leonetti
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
| | - Chao-Hsiung Hsu
- Molecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA
| | - Jingang Li
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
| | - Pranav Vyas
- Department of Radiology, Children’s National Hospital, Washington, DC, USA
- Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Yuka Imamura Kawasawa
- Departments of Pharmacology and Biochemistry and Molecular Biology, Institute for Personalized Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Tsang-Wei Tu
- Molecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA
| | - Paul C. Wang
- Molecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA
- Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Patrick J. Hanley
- Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
- Program for Cell Enhancement and Technologies for Immunotherapy, Division of Blood and Marrow Transplantation, Center for Cancer and Immunology Research, Children’s National Hospital, Washington, DC, USA
| | - Kazue Hashimoto-Torii
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
- Pharmacology and Physiology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Joseph A. Frank
- Frank Laboratory, Radiology and Imaging Sciences, National Institutes of Health; Bethesda, Maryland, USA
- National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
| | - Richard A. Jonas
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
- Children’s National Heart Institute, Children’s National Hospital, Washington, DC, USA
- Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Nobuyuki Ishibashi
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, USA
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA
- Children’s National Heart Institute, Children’s National Hospital, Washington, DC, USA
- Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
- Pharmacology and Physiology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
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20
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Gangolli M, Pajevic S, Kim JH, Hutchinson EB, Benjamini D, Basser PJ. Correspondence of mean apparent propagator MRI metrics with phosphorylated tau and astrogliosis in chronic traumatic encephalopathy. Brain Commun 2023; 5:fcad253. [PMID: 37901038 PMCID: PMC10600571 DOI: 10.1093/braincomms/fcad253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 08/03/2023] [Accepted: 10/03/2023] [Indexed: 10/31/2023] Open
Abstract
Chronic traumatic encephalopathy is a neurodegenerative disease that is diagnosed and staged based on the localization and extent of phosphorylated tau pathology. Although its identification remains the primary diagnostic criteria to distinguish chronic traumatic encephalopathy from other tauopathies, the hyperphosphorylated tau that accumulates in neurofibrillary tangles in cortical grey matter and perivascular regions is often accompanied by concomitant pathology such as astrogliosis. Mean apparent propagator MRI is a clinically feasible diffusion MRI method that is suitable to characterize microstructure of complex biological media efficiently and comprehensively. We performed quantitative correlations between propagator metrics and underlying phosphorylated tau and astroglial pathology in a cross-sectional study of 10 ex vivo human tissue specimens with 'high chronic traumatic encephalopathy' at 0.25 mm isotropic voxels. Linear mixed effects analysis of regions of interest showed significant relationships of phosphorylated tau with propagator-estimated non-Gaussianity in cortical grey matter (P = 0.002) and of astrogliosis with propagator anisotropy in superficial cortical white matter (P = 0.0009). The positive correlation between phosphorylated tau and non-Gaussianity was found to be modest but significant (R2 = 0.44, P = 6.0 × 10-5) using linear regression. We developed an unsupervised clustering algorithm with non-Gaussianity and propagator anisotropy as inputs, which was able to identify voxels in superficial cortical white matter that corresponded to astrocytes that were accumulated at the grey-white matter interface. Our results suggest that mean apparent propagator MRI at high spatial resolution provides a means to not only identify phosphorylated tau pathology but also detect regions with astrocytic pathology and may therefore prove diagnostically valuable in the evaluation of concomitant pathology in cortical tissue with complex microstructure.
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Affiliation(s)
- Mihika Gangolli
- Center for Neuroscience and Regenerative Medicine, Bethesda, MD 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sinisa Pajevic
- Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
| | - Joong Hee Kim
- Center for Neuroscience and Regenerative Medicine, Bethesda, MD 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
- Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Elizabeth B Hutchinson
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 20892, USA
| | - Dan Benjamini
- Center for Neuroscience and Regenerative Medicine, Bethesda, MD 20817, USA
- Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Peter J Basser
- Center for Neuroscience and Regenerative Medicine, Bethesda, MD 20817, USA
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
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21
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Chen LM, Wang F, Mishra A, Yang PF, Sengupta A, Reed JL, Gore JC. Longitudinal multiparametric MRI of traumatic spinal cord injury in animal models. Magn Reson Imaging 2023; 102:184-200. [PMID: 37343904 PMCID: PMC10528214 DOI: 10.1016/j.mri.2023.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/14/2023] [Accepted: 06/17/2023] [Indexed: 06/23/2023]
Abstract
Multi-parametric MRI (mpMRI) technology enables non-invasive and quantitative assessments of the structural, molecular, and functional characteristics of various neurological diseases. Despite the recognized importance of studying spinal cord pathology, mpMRI applications in spinal cord research have been somewhat limited, partly due to technical challenges associated with spine imaging. However, advances in imaging techniques and improved image quality now allow longitudinal investigations of a comprehensive range of spinal cord pathological features by exploiting different endogenous MRI contrasts. This review summarizes the use of mpMRI techniques including blood oxygenation level-dependent (BOLD) functional MRI (fMRI), diffusion tensor imaging (DTI), quantitative magnetization transfer (qMT), and chemical exchange saturation transfer (CEST) MRI in monitoring different aspects of spinal cord pathology. These aspects include cyst formation and axonal disruption, demyelination and remyelination, changes in the excitability of spinal grey matter and the integrity of intrinsic functional circuits, and non-specific molecular changes associated with secondary injury and neuroinflammation. These approaches are illustrated with reference to a nonhuman primate (NHP) model of traumatic cervical spinal cord injuries (SCI). We highlight the benefits of using NHP SCI models to guide future studies of human spinal cord pathology, and demonstrate how mpMRI can capture distinctive features of spinal cord pathology that were previously inaccessible. Furthermore, the development of mechanism-based MRI biomarkers from mpMRI studies can provide clinically useful imaging indices for understanding the mechanisms by which injured spinal cords progress and repair. These biomarkers can assist in the diagnosis, prognosis, and evaluation of therapies for SCI patients, potentially leading to improved outcomes.
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Affiliation(s)
- Li Min Chen
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Feng Wang
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Arabinda Mishra
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Pai-Feng Yang
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anirban Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jamie L Reed
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John C Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
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22
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Chen TC, Lo YC, Li SJ, Lin YC, Chang CW, Liang YW, Laiman V, Hsiao TC, Chuang HC, Chen YY. Assessing traffic-related air pollution-induced fiber-specific white matter degradation associated with motor performance declines in aged rats. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 263:115373. [PMID: 37619400 DOI: 10.1016/j.ecoenv.2023.115373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/02/2023] [Accepted: 08/13/2023] [Indexed: 08/26/2023]
Abstract
Fine particulate matter (PM2.5) is thought to exacerbate Parkinson's disease (PD) in the elderly, and early detection of PD progression may prevent further irreversible damage. Therefore, we used diffusion tensor imaging (DTI) for probing microstructural changes after late-life chronic traffic-related PM2.5 exposure. Herein, 1.5-year-old Fischer 344 rats were exposed to clean air (control), high-efficiency particulate air (HEPA)-filtered ambient air (HEPA group), and ambient traffic-related PM2.5 (PM2.5 group, 9.933 ± 1.021 µg/m3) for 3 months. Rotarod test, DTI tractographic analysis, and immunohistochemistry were performed in the end of study period. Aged rats exposed to PM2.5 exhibited motor impairment with decreased fractional anisotropy and tyrosine hydroxylase expression in olfactory and nigrostriatal circuits, indicating disrupted white matter integrity and dopaminergic (DA) neuronal loss. Additionally, increased radial diffusivity and lower expression of myelin basic protein in PM2.5 group suggested ageing progression of demyelination exacerbated by PM2.5 exposure. Significant production of tumor necrosis factor-α was also observed after PM2.5 exposure, revealing potential inflammation of injury to multiple fiber tracts of DA pathways. Microstructural changes demonstrated potential links between PM2.5-induced inflammatory white matter demyelination and behavioral performance, with indication of pre-manifestation of DTI-based biomarkers for early detection of PD progression in the elderly.
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Affiliation(s)
- Ting-Chieh Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Yu-Chun Lo
- Ph.D. Program in Medical Neuroscience, Taipei Medical University, Taipei Medical University, No. 250 Wu-Xing St., Taipei 11031, Taiwan
| | - Ssu-Ju Li
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Yi-Chen Lin
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Ching-Wen Chang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Yao-Wen Liang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan
| | - Vincent Laiman
- International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, 250 Wu-Xing St., Taipei 11031, Taiwan; Department of Anatomical Pathology, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada - Dr. Sardjito Hospital, Yogyakarta 55281, Indonesia
| | - Ta-Chih Hsiao
- Graduate Institute of Environmental Engineering, National Taiwan University, 1 Roosevelt Rd., Section 4, Taipei 10617, Taiwan
| | - Hsiao-Chi Chuang
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, 250 Wu-Xing St., Taipei 11031, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, 291 Zhongzheng Rd., Zhonghe Dist., New Taipei City 23561, Taiwan; Cell Physiology and Molecular Image Research Center, Wan Fang Hospital, Taipei Medical University, 111 Xinglong Rd., Section 3, Wenshan Dist., Taipei 11696, Taiwan; National Heart & Lung Institute, Imperial College London, London SW3 6LY, UK.
| | - You-Yin Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, 155 Linong St., Section 2, Taipei 11221, Taiwan; Ph.D. Program in Medical Neuroscience, Taipei Medical University, Taipei Medical University, No. 250 Wu-Xing St., Taipei 11031, Taiwan.
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23
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Cottam NC, Bamfo T, Harrington MA, Charvet CJ, Hekmatyar K, Tulin N, Sun J. Cerebellar structural, astrocytic, and neuronal abnormalities in the SMNΔ7 mouse model of spinal muscular atrophy. Brain Pathol 2023; 33:e13162. [PMID: 37218083 PMCID: PMC10467044 DOI: 10.1111/bpa.13162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 04/18/2023] [Indexed: 05/24/2023] Open
Abstract
Spinalmuscular atrophy (SMA) is a neuromuscular disease that affects as many as 1 in 6000 individuals at birth, making it the leading genetic cause of infant mortality. A growing number of studies indicate that SMA is a multi-system disease. The cerebellum has received little attention even though it plays an important role in motor function and widespread pathology has been reported in the cerebella of SMA patients. In this study, we assessed SMA pathology in the cerebellum using structural and diffusion magnetic resonance imaging, immunohistochemistry, and electrophysiology with the SMNΔ7 mouse model. We found a significant disproportionate loss in cerebellar volume, decrease in afferent cerebellar tracts, selective lobule-specific degeneration of Purkinje cells, abnormal lobule foliation and astrocyte integrity, and a decrease in spontaneous firing of cerebellar output neurons in the SMA mice compared to controls. Our data suggest that defects in cerebellar structure and function due to decreased survival motor neuron (SMN) levels impair the functional cerebellar output affecting motor control, and that cerebellar pathology should be addressed to achieve comprehensive treatment and therapy for SMA patients.
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Affiliation(s)
- Nicholas C. Cottam
- Department of Biological SciencesDelaware State UniversityDoverDelawareUSA
| | - Tiffany Bamfo
- Department of Biological SciencesDelaware State UniversityDoverDelawareUSA
| | | | - Christine J. Charvet
- Delaware Center for Neuroscience ResearchDelaware State UniversityDoverDelawareUSA
- Department of Anatomy, Physiology and PharmacologyAuburn UniversityAuburnAlabamaUSA
- Department of PsychologyDelaware State UniversityDoverDEUnited States
| | - Khan Hekmatyar
- Center for Biomedical and Brain ImagingUniversity of DelawareNewarkDelawareUSA
- Bioimaging Research Center for Biomedical and Brain ImagingUniversity of GeorgiaAthensGeorgiaUSA
| | - Nikita Tulin
- Department of NeuroscienceTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Jianli Sun
- Department of Biological SciencesDelaware State UniversityDoverDelawareUSA
- Delaware Center for Neuroscience ResearchDelaware State UniversityDoverDelawareUSA
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24
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Lin CP, Knoop LEJ, Frigerio I, Bol JGJM, Rozemuller AJM, Berendse HW, Pouwels PJW, van de Berg WDJ, Jonkman LE. Nigral Pathology Contributes to Microstructural Integrity of Striatal and Frontal Tracts in Parkinson's Disease. Mov Disord 2023; 38:1655-1667. [PMID: 37347552 DOI: 10.1002/mds.29510] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 05/23/2023] [Accepted: 05/30/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Motor and cognitive impairment in Parkinson's disease (PD) is associated with dopaminergic dysfunction that stems from substantia nigra (SN) degeneration and concomitant α-synuclein accumulation. Diffusion magnetic resonance imaging (MRI) can detect microstructural alterations of the SN and its tracts to (sub)cortical regions, but their pathological sensitivity is still poorly understood. OBJECTIVE To unravel the pathological substrate(s) underlying microstructural alterations of SN, and its tracts to the dorsal striatum and dorsolateral prefrontal cortex (DLPFC) in PD. METHODS Combining post-mortem in situ MRI and histopathology, T1-weighted and diffusion MRI, and neuropathological samples of nine PD, six PD with dementia (PDD), five dementia with Lewy bodies (DLB), and 10 control donors were collected. From diffusion MRI, mean diffusivity (MD) and fractional anisotropy (FA) were derived from the SN, and tracts between the SN and caudate nucleus, putamen, and DLPFC. Phosphorylated-Ser129-α-synuclein and tyrosine hydroxylase immunohistochemistry was included to quantify nigral Lewy pathology and dopaminergic degeneration, respectively. RESULTS Compared to controls, PD and PDD/DLB showed increased MD of the SN and SN-DLPFC tract, as well as increased FA of the SN-caudate nucleus tract. Both PD and PDD/DLB showed nigral Lewy pathology and dopaminergic loss compared to controls. Increased MD of the SN and FA of SN-caudate nucleus tract were associated with SN dopaminergic loss. Whereas increased MD of the SN-DLPFC tract was associated with increased SN Lewy neurite load. CONCLUSIONS In PD and PDD/DLB, diffusion MRI captures microstructural alterations of the SN and tracts to the dorsal striatum and DLPFC, which differentially associates with SN dopaminergic degeneration and Lewy neurite pathology. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Chen-Pei Lin
- Department of Anatomy and Neurosciences, Section Clinical Neuroanatomy and Biobanking, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Lydian E J Knoop
- Department of Anatomy and Neurosciences, Section Clinical Neuroanatomy and Biobanking, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Irene Frigerio
- Department of Anatomy and Neurosciences, Section Clinical Neuroanatomy and Biobanking, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - John G J M Bol
- Department of Anatomy and Neurosciences, Section Clinical Neuroanatomy and Biobanking, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Henk W Berendse
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Neurology, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Petra J W Pouwels
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Wilma D J van de Berg
- Department of Anatomy and Neurosciences, Section Clinical Neuroanatomy and Biobanking, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Laura E Jonkman
- Department of Anatomy and Neurosciences, Section Clinical Neuroanatomy and Biobanking, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
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25
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Wu YC, Wen Q, Thukral R, Yang HC, Gill JM, Gao S, Lane KA, Meier TB, Riggen LD, Harezlak J, Giza CC, Goldman J, Guskiewicz KM, Mihalik JP, LaConte SM, Duma SM, Broglio SP, Saykin AJ, McAllister TW, McCrea MA. Longitudinal Associations Between Blood Biomarkers and White Matter MRI in Sport-Related Concussion: A Study of the NCAA-DoD CARE Consortium. Neurology 2023; 101:e189-e201. [PMID: 37328299 PMCID: PMC10351550 DOI: 10.1212/wnl.0000000000207389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 03/22/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND AND OBJECTIVES To study longitudinal associations between blood-based neural biomarkers (including total tau, neurofilament light [NfL], glial fibrillary acidic protein [GFAP], and ubiquitin C-terminal hydrolase-L1) and white matter neuroimaging biomarkers in collegiate athletes with sport-related concussion (SRC) from 24 hours postinjury to 1 week after return to play. METHODS We analyzed clinical and imaging data of concussed collegiate athletes in the Concussion Assessment, Research, and Education (CARE) Consortium. The CARE participants completed same-day clinical assessments, blood draws, and diffusion tensor imaging (DTI) at 3 time points: 24-48 hours postinjury, point of becoming asymptomatic, and 7 days after return to play. DTI probabilistic tractography was performed for each participant at each time point to render 27 participant-specific major white matter tracts. The microstructural organization of these tracts was characterized by 4 DTI metrics. Mixed-effects models with random intercepts were applied to test whether white matter microstructural abnormalities are associated with the blood-based biomarkers at the same time point. An interaction model was used to test whether the association varies across time points. A lagged model was used to test whether early blood-based biomarkers predict later microstructural changes. RESULTS Data from 77 collegiate athletes were included in the following analyses. Among the 4 blood-based biomarkers, total tau had significant associations with the DTI metrics across the 3 time points. In particular, high tau level was associated with high radial diffusivity (RD) in the right corticospinal tract (β = 0.25, SE = 0.07, p FDR-adjusted = 0.016) and superior thalamic radiation (β = 0.21, SE = 0.07, p FDR-adjusted = 0.042). NfL and GFAP had time-dependent associations with the DTI metrics. NfL showed significant associations only at the asymptomatic time point (|β|s > 0.12, SEs <0.09, psFDR-adjusted < 0.05) and GFAP showed a significant association only at 7 days after return to play (βs > 0.14, SEs <0.06, psFDR-adjusted < 0.05). The p values for the associations of early tau and later RD were not significant after multiple comparison adjustment, but were less than 0.1 in 7 white matter tracts. DISCUSSION This prospective study using data from the CARE Consortium demonstrated that in the early phase of SRC, white matter microstructural integrity detected by DTI neuroimaging was associated with elevated levels of blood-based biomarkers of traumatic brain injury. Total tau in the blood showed the strongest association with white matter microstructural changes.
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Affiliation(s)
- Yu-Chien Wu
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis.
| | - Qiuting Wen
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Rhea Thukral
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Ho-Ching Yang
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Jessica M Gill
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Sujuan Gao
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Kathleen A Lane
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Timothy B Meier
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Larry D Riggen
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Jaroslaw Harezlak
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Christopher C Giza
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Joshua Goldman
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Kevin M Guskiewicz
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Jason P Mihalik
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Stephen M LaConte
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Stefan M Duma
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Steven P Broglio
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Andrew J Saykin
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Thomas Walker McAllister
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Michael A McCrea
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
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26
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Mohamed AZ, Lagopoulos J, Nasrallah FA, Shan Z. Self-reported Fatigue was Associated with Increased White-matter Alterations in Long-term Traumatic Brain Injury and Posttraumatic Stress Disorder Patients. Neuroscience 2023; 520:46-57. [PMID: 37080447 PMCID: PMC10357124 DOI: 10.1016/j.neuroscience.2023.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 03/12/2023] [Accepted: 03/28/2023] [Indexed: 04/22/2023]
Abstract
Fatigue is a long-lasting problem in traumatic brain injury (TBI) and post-traumatic stress disorder (PTSD), with limited research that investigated the fatigue-related white-matter changes within TBI and/or PTSD cohorts. This exploratory cross-sectional study used diffusion tensor imaging (DTI) and neuropsychological data collected from 153 male Vietnam War veterans, as part of the Alzheimer's Disease Neuroimaging Initiative - Department of Defense, and were divided clinically into control veterans, PTSD, TBI, and with both TBI and PTSD (TBI + PTSD). The existence of fatigue was defined by the question "Do you often feel tired, fatigued, or sleepy during the daytime?". DTI data were compared between fatigue and non-fatigue subgroups in each clinical group using tract-based spatial statistics voxel-based differences. Fatigue was reported in controls (29.55%), slightly higher in TBI (52.17%, PBenf = 0.06), and significantly higher in both TBI + PTSD (66.67%, PBenf = 0.001) and PTSD groups (79.25%, PBenf < 0.001). Compared to non-fatigued subgroups, no white-matter differences were observed in the fatigued subgroups of control or TBI, while the fatigued PTSD subgroup only showed increased diffusivity measures (i.e., radial and axial), and the fatigued TBI + PTSD subgroup showed decreased fractional anisotropy and increased diffusivity measures (PFWE ≤ 0.05). The results act as preliminary findings suggesting fatigue to be significantly reported in TBI + PTSD and PTSD decades post-trauma with a possible link to white-matter microstructural differences in both PTSD and TBI + PTSD. Future studies with larger cohorts and detailed fatigue assessments would be required to identify the white-matter changes associated with fatigue in these cohorts.
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Affiliation(s)
- Abdalla Z Mohamed
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, QLD 4575, Australia.
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, QLD 4575, Australia
| | - Fatima A Nasrallah
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Zack Shan
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, QLD 4575, Australia
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27
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Yao B, Gu P, Lasagna CA, Peltier S, Taylor SF, Tso IF, Thakkar KN. Structural connectivity of an interoception network in schizophrenia. Psychiatry Res Neuroimaging 2023; 331:111636. [PMID: 37001298 PMCID: PMC10133183 DOI: 10.1016/j.pscychresns.2023.111636] [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: 10/12/2022] [Revised: 03/21/2023] [Accepted: 03/25/2023] [Indexed: 04/08/2023]
Abstract
Interoception refers to the processing, integration, and interpretation of bodily signals by the brain. Interoception is key to not only basic survival, but also motivational and affective functioning. There is emerging evidence suggesting altered interoception in schizophrenia, but few studies have explored potential neural underpinnings. The current study aims to investigate the anatomical connectivity of a previously identified interoception network in individuals with schizophrenia, and the relationship between network structural connectivity and both emotional functioning and clinical symptoms. Thirty-five participants with schizophrenia (SZ) and 36 healthy control participants (HC) underwent diffusion tensor imaging (DTI) and performed tasks measuring emotional functioning. Probabilistic tractography was used to identify white matter tracts connecting key hubs in an interoception network. Microstructural integrity of these tracts was compared across groups and correlated with measures of emotional functioning and symptom severity. Compared with HC, SZ exhibited altered structural connectivity in the interoception network. In HC, the structural connectivity of the network was significantly correlated with emotion recognition, supporting a link between the interoception network and emotional functioning. However, this correlation was much weaker in SZ. These findings suggest that altered interoception may have implications for illness mechanisms of schizophrenia, especially in relation to emotional deficits.
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Affiliation(s)
- Beier Yao
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Pan Gu
- Department of Neuroscience, University of Texas at Dallas, Richardson, TX, USA
| | - Carly A Lasagna
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Scott Peltier
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Stephan F Taylor
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ivy F Tso
- Department of Psychiatry & Behavioral Health, Ohio State University, Columbus, OH, USA
| | - Katharine N Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, USA; Division of Psychiatry and Behavioral Medicine, Michigan State University, Grand Rapids, MI, USA
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28
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Sa de Almeida J, Baud O, Fau S, Barcos-Munoz F, Courvoisier S, Lordier L, Lazeyras F, Hüppi PS. Music impacts brain cortical microstructural maturation in very preterm infants: A longitudinal diffusion MR imaging study. Dev Cogn Neurosci 2023; 61:101254. [PMID: 37182337 DOI: 10.1016/j.dcn.2023.101254] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/25/2023] [Accepted: 05/09/2023] [Indexed: 05/16/2023] Open
Abstract
Preterm birth disrupts important neurodevelopmental processes occurring from mid-fetal to term-age. Musicotherapy, by enriching infants' sensory input, might enhance brain maturation during this critical period of activity-dependent plasticity. To study the impact of music on preterm infants' brain structural changes, we recruited 54 very preterm infants randomized to receive or not a daily music intervention, that have undergone a longitudinal multi-shell diffusion MRI acquisition, before the intervention (at 33 weeks' gestational age) and after it (at term-equivalent-age). Using whole-brain fixel-based (FBA) and NODDI analysis (n = 40), we showed a longitudinal increase of fiber cross-section (FC) and fiber density (FD) in all major cerebral white matter fibers. Regarding cortical grey matter, FD decreased while FC and orientation dispersion index (ODI) increased, reflecting intracortical multidirectional complexification and intracortical myelination. The music intervention resulted in a significantly higher longitudinal increase of FC and ODI in cortical paralimbic regions, namely the insulo-orbito-temporopolar complex, precuneus/posterior cingulate gyrus, as well as the auditory association cortex. Our results support a longitudinal early brain macro and microstructural maturation of white and cortical grey matter in preterm infants. The music intervention led to an increased intracortical complexity in regions important for socio-emotional development, known to be impaired in preterm infants.
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Affiliation(s)
- Joana Sa de Almeida
- Division of Development and Growth, Department of Paediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.
| | - Olivier Baud
- Division of Neonatal and Intensive Care, Department of Paediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland
| | - Sebastien Fau
- Division of Neonatal and Intensive Care, Department of Paediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland
| | - Francisca Barcos-Munoz
- Division of Neonatal and Intensive Care, Department of Paediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland
| | - Sebastien Courvoisier
- Center of BioMedical Imaging (CIBM), University of Geneva, Geneva, Switzerland; Department of Radiology and Medical Informatics, Geneva, Switzerland
| | - Lara Lordier
- Division of Development and Growth, Department of Paediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland
| | - François Lazeyras
- Center of BioMedical Imaging (CIBM), University of Geneva, Geneva, Switzerland; Department of Radiology and Medical Informatics, Geneva, Switzerland
| | - Petra S Hüppi
- Division of Development and Growth, Department of Paediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland
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29
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Roberts D, Rösler L, Wijnen JP, Thakkar KN. Associations between N-Acetylaspartate and white matter integrity in individuals with schizophrenia and unaffected relatives. Psychiatry Res Neuroimaging 2023; 330:111612. [PMID: 36805928 PMCID: PMC10023491 DOI: 10.1016/j.pscychresns.2023.111612] [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: 11/12/2022] [Revised: 01/27/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023]
Abstract
Compromised white matter has been reported in schizophrenia; however, few studies have investigated neurochemical abnormalities underlying microstructural differences. N-acetylaspartate (NAA) is used to synthesize myelin and is often reduced in persons with schizophrenia (PSZ) and their unaffected first-degree relatives (REL). Low levels of NAA could affect white matter by preventing the synthesis or repair of myelin. We used magnetic resonance spectroscopy and diffusion tensor imaging to investigate the relationship between NAA and white matter integrity in PSZ. REL were included to examine whether putative relationships are associated with symptom expression or illness liability. 52 controls, 23 REL and 25 PSZ underwent 7T proton magnetic resonance spectroscopy and/or 3T diffusion tensor imaging. NAA in the visual cortex and basal ganglia were measured and compared across groups. Diffusivity measures were compared across groups using tract-based spatial statistics and related to NAA concentrations. Visual cortex NAA was significantly reduced in PSZ compared to controls. White matter integrity did not differ between groups. Reduced cortical and subcortical NAA were associated with diffusivity measures of poor white matter microstructure. These data suggest that levels of neural NAA may be related to white matter integrity similarly across individuals with schizophrenia, those at genetic risk, and controls.
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Affiliation(s)
- Dominic Roberts
- Department of Psychology, Michigan State University, East Lansing, MI, United States
| | - Lara Rösler
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Jannie P Wijnen
- Department of Radiology, High Field MR Research, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Katharine N Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, United States; Department of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing, Michigan, United States.
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30
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Sorelli M, Costantini I, Bocchi L, Axer M, Pavone FS, Mazzamuto G. Fiber enhancement and 3D orientation analysis in label-free two-photon fluorescence microscopy. Sci Rep 2023; 13:4160. [PMID: 36914673 PMCID: PMC10011555 DOI: 10.1038/s41598-023-30953-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/03/2023] [Indexed: 03/16/2023] Open
Abstract
Fluorescence microscopy can be exploited for evaluating the brain's fiber architecture with unsurpassed spatial resolution in combination with different tissue preparation and staining protocols. Differently from state-of-the-art polarimetry-based neuroimaging modalities, the quantification of fiber tract orientations from fluorescence microscopy volume images entails the application of specific image processing techniques, such as Fourier or structure tensor analysis. These, however, may lead to unreliable outcomes as they do not isolate myelinated fibers from the surrounding tissue. In this work, we describe a novel image processing pipeline that enables the computation of accurate 3D fiber orientation maps from both grey and white matter regions, exploiting the selective multiscale enhancement of tubular structures of varying diameters provided by a 3D implementation of the Frangi filter. The developed software tool can efficiently generate orientation distribution function maps at arbitrary spatial scales which may support the histological validation of modern diffusion-weighted magnetic resonance imaging tractography. Despite being tested here on two-photon scanning fluorescence microscopy images, acquired from tissue samples treated with a label-free technique enhancing the autofluorescence of myelinated fibers, the presented pipeline was developed to be employed on all types of 3D fluorescence images and fiber staining.
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Affiliation(s)
- Michele Sorelli
- Department of Physics and Astronomy, University of Florence, 50019, Sesto Fiorentino, Italy.,European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, Italy
| | - Irene Costantini
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, Italy. .,Department of Biology, University of Florence, 50019, Sesto Fiorentino, Italy. .,National Research Council, National Institute of Optics (CNR-INO), 50019, Sesto Fiorentino, Italy.
| | - Leonardo Bocchi
- Department of Information Engineering, University of Florence, 50039, Florence, Italy
| | - Markus Axer
- Research Centre Jülich, Institute of Neuroscience and Medicine, 52428, Jülich, Germany
| | - Francesco Saverio Pavone
- Department of Physics and Astronomy, University of Florence, 50019, Sesto Fiorentino, Italy.,European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, Italy.,National Research Council, National Institute of Optics (CNR-INO), 50019, Sesto Fiorentino, Italy
| | - Giacomo Mazzamuto
- Department of Physics and Astronomy, University of Florence, 50019, Sesto Fiorentino, Italy.,European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, Italy.,National Research Council, National Institute of Optics (CNR-INO), 50019, Sesto Fiorentino, Italy
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31
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Sewaybricker LE, Huang A, Chandrasekaran S, Melhorn SJ, Schur EA. The Significance of Hypothalamic Inflammation and Gliosis for the Pathogenesis of Obesity in Humans. Endocr Rev 2023; 44:281-296. [PMID: 36251886 DOI: 10.1210/endrev/bnac023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/12/2022] [Indexed: 11/19/2022]
Abstract
Accumulated preclinical literature demonstrates that hypothalamic inflammation and gliosis are underlying causal components of diet-induced obesity in rodent models. This review summarizes and synthesizes available translational data to better understand the applicability of preclinical findings to human obesity and its comorbidities. The published literature in humans includes histopathologic analyses performed postmortem and in vivo neuroimaging studies measuring indirect markers of hypothalamic tissue microstructure. Both support the presence of hypothalamic inflammation and gliosis in children and adults with obesity. Findings predominantly point to tissue changes in the region of the arcuate nucleus of the hypothalamus, although findings of altered tissue characteristics in whole hypothalamus or other hypothalamic regions also emerged. Moreover, the severity of hypothalamic inflammation and gliosis has been related to comorbid conditions, including glucose intolerance, insulin resistance, type 2 diabetes, and low testosterone levels in men, independent of elevated body adiposity. Cross-sectional findings are augmented by a small number of prospective studies suggesting that a greater degree of hypothalamic inflammation and gliosis may predict adiposity gain and worsening insulin sensitivity in susceptible individuals. In conclusion, existing human studies corroborate a large preclinical literature demonstrating that hypothalamic neuroinflammatory responses play a role in obesity pathogenesis. Extensive or permanent hypothalamic tissue remodeling may negatively affect the function of neuroendocrine regulatory circuits and promote the development and maintenance of elevated body weight in obesity and/or comorbid endocrine disorders.
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Affiliation(s)
| | - Alyssa Huang
- Department of Pediatrics, University of Washington, Division of Endocrinology and Diabetes, Seattle Children's Hospital, Seattle, WA 98015, USA
| | | | - Susan J Melhorn
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Ellen A Schur
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
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32
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Obenaus A, Rodriguez-Grande B, Lee JB, Dubois CJ, Fournier ML, Cador M, Caille S, Badaut J. A single mild juvenile TBI in male mice leads to regional brain tissue abnormalities at 12 months of age that correlate with cognitive impairment at the middle age. Acta Neuropathol Commun 2023; 11:32. [PMID: 36859364 PMCID: PMC9976423 DOI: 10.1186/s40478-023-01515-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 01/12/2023] [Indexed: 03/03/2023] Open
Abstract
Traumatic brain injury (TBI) has the highest incidence amongst the pediatric population and its mild severity represents the most frequent cases. Moderate and severe injuries as well as repetitive mild TBI result in lasting morbidity. However, whether a single mild TBI sustained during childhood can produce long-lasting modifications within the brain is still debated. We aimed to assess the consequences of a single juvenile mild TBI (jmTBI) at 12 months post-injury in a mouse model. Non-invasive diffusion tensor imaging (DTI) revealed significant microstructural alterations in the hippocampus and the in the substantia innominata/nucleus basalis (SI/NB), structures known to be involved in spatial learning and memory. DTI changes paralled neuronal loss, increased astrocytic AQP4 and microglial activation in the hippocampus. In contrast, decreased astrocytic AQP4 expression and microglia activation were observed in SI/NB. Spatial learning and memory were impaired and correlated with alterations in DTI-derived derived fractional ansiotropy (FA) and axial diffusivity (AD). This study found that a single juvenile mild TBI leads to significant region-specific DTI microstructural alterations, distant from the site of impact, that correlated with cognitive discriminative novel object testing and spatial memory impairments at 12 months after a single concussive injury. Our findings suggest that exposure to jmTBI leads to a chronic abnormality, which confirms the need for continued monitoring of symptoms and the development of long-term treatment strategies to intervene in children with concussions.
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Affiliation(s)
- Andre Obenaus
- Department of Pediatrics, University of California, Irvine, CA, USA
- Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Jeong Bin Lee
- Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Christophe J Dubois
- CNRS UMR 5536 RMSB, University of Bordeaux, 146 Rue Léo Saignat, 33076, Bordeaux Cedex, France
| | | | - Martine Cador
- CNRS, EPHE, INCIA UMR5287, University of Bordeaux, F33000, Bordeaux, France
| | - Stéphanie Caille
- CNRS, EPHE, INCIA UMR5287, University of Bordeaux, F33000, Bordeaux, France
| | - Jerome Badaut
- Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA.
- CNRS, EPHE, INCIA UMR5287, University of Bordeaux, F33000, Bordeaux, France.
- CNRS UMR 5536 RMSB, University of Bordeaux, 146 Rue Léo Saignat, 33076, Bordeaux Cedex, France.
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33
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Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature. Neuropsychol Rev 2023; 33:42-121. [PMID: 33721207 DOI: 10.1007/s11065-021-09485-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
There is evidence that diffusion-weighted imaging (DWI) is able to detect tissue alterations following mild traumatic brain injury (mTBI) that may not be observed on conventional neuroimaging; however, findings are often inconsistent between studies. This systematic review assesses patterns of differences in DWI metrics between those with and without a history of mTBI. A PubMed literature search was performed using relevant indexing terms for articles published prior to May 14, 2020. Findings were limited to human studies using DWI in mTBI. Articles were excluded if they were not full-length, did not contain original data, if they were case studies, pertained to military populations, had inadequate injury severity classification, or did not report post-injury interval. Findings were reported independently for four subgroups: acute/subacute pediatric mTBI, acute/subacute adult mTBI, chronic adult mTBI, and sport-related concussion, and all DWI acquisition and analysis methods used were included. Patterns of findings between studies were reported, along with strengths and weaknesses of the current state of the literature. Although heterogeneity of sample characteristics and study methods limited the consistency of findings, alterations in DWI metrics were most commonly reported in the corpus callosum, corona radiata, internal capsule, and long association pathways. Many acute/subacute pediatric studies reported higher FA and lower ADC or MD in various regions. In contrast, acute/subacute adult studies most commonly indicate lower FA within the context of higher MD and RD. In the chronic phase of recovery, FA may remain low, possibly indicating overall demyelination or Wallerian degeneration over time. Longitudinal studies, though limited, generally indicate at least a partial normalization of DWI metrics over time, which is often associated with functional improvement. We conclude that DWI is able to detect structural mTBI-related abnormalities that may persist over time, although future DWI research will benefit from larger samples, improved data analysis methods, standardized reporting, and increasing transparency.
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Jia J, Zheng L, Ye L, Chen J, Shu S, Xu S, Bao X, Xia S, Liu R, Xu Y, Zhang M. CD11c + microglia promote white matter repair after ischemic stroke. Cell Death Dis 2023; 14:156. [PMID: 36828819 PMCID: PMC9958101 DOI: 10.1038/s41419-023-05689-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 02/26/2023]
Abstract
Ischemic stroke leads to white matter damage and neurological deficits. However, the characteristics of white matter injury and repair after stroke are unclear. Additionally, the precise molecular communications between microglia and white matter repair during the stroke rehabilitation phase remain elusive. In this current study, MRI DTI scan and immunofluorescence staining were performed to trace white matter and microglia in the mouse transient middle cerebral artery occlusion (tMCAO) stroke model. We found that the most serious white matter damage was on Day 7 after the ischemic stroke, then it recovered gradually from Day 7 to Day 30. Parallel to white matter recovery, we observed that microglia centered around the damaged myelin sheath and swallowed myelin debris in the ischemic areas. Then, microglia of the ischemic hemisphere were sorted by flow cytometry for RNA sequencing and subpopulation analysis. We found that CD11c+ microglia increased from Day 7 to Day 30, demonstrating high phagocytotic capabilities, myelin-supportive genes, and lipid metabolism associated genes. CD11c+ microglia population was partly depleted by the stereotactic injecting of rAAV2/6M-taCasp3 (rAAV2/6M-CMV-DIO-taCasp3-TEVp) into CD11c-cre mice. Selective depletion of CD11c+ microglia disrupted white matter repair, oligodendrocyte maturation, and functional recovery after stroke by Rotarod test, Adhesive Removal test, and Morris Water Maze test. These findings suggest that spontaneous white matter repair occurs after ischemic stroke, while CD11c+ microglia play critical roles in this white matter restorative progress.
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Affiliation(s)
- Junqiu Jia
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China
| | - Lili Zheng
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China
| | - Lei Ye
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China
| | - Jian Chen
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China
| | - Shu Shu
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China
| | - Siyi Xu
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Zhenjiang, China
| | - Xinyu Bao
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China
| | - Shengnan Xia
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China
| | - Renyuan Liu
- Department of Radiology, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yun Xu
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China.
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China.
| | - Meijuan Zhang
- Department of Neurology, Drum Tower Hospital, The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Medical School, Nanjing University, Nanjing, China.
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China.
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35
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Gennari AG, Cserpan D, Stefanos-Yakoub I, Kottke R, O’Gorman Tuura R, Ramantani G. Diffusion tensor imaging discriminates focal cortical dysplasia from normal brain parenchyma and differentiates between focal cortical dysplasia types. Insights Imaging 2023; 14:36. [PMID: 36826756 PMCID: PMC9958211 DOI: 10.1186/s13244-023-01368-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/29/2022] [Indexed: 02/25/2023] Open
Abstract
OBJECTIVES Although diffusion tensor imaging (DTI) may facilitate the identification of cytoarchitectural changes associated with focal cortical dysplasia (FCD), the predominant aetiology of paediatric structural epilepsy, its potential has thus far remained unexplored in this population. Here, we investigated whether DTI indices can differentiate FCD from contralateral brain parenchyma (CBP) and whether clinical features affect these indices. METHODS In this single-centre, retrospective study, we considered children and adolescents with FCD-associated epilepsy who underwent brain magnetic resonance (MRI), including DTI. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity, and radial diffusivity, were calculated in both FCD and CBP. The DTI indices best discriminating between FCD and CBP were subsequently used to assess the link between DTI and selected clinical and lesion-related parameters. RESULTS We enrolled 32 patients (20 male; median age at MRI 4 years), including 15 with histologically confirmed FCD. FA values were lower (p = 0.03), whereas MD values were higher in FCD than in CBP (p = 0.04). The difference in FA values between FCD and CBP was more pronounced for a positive vs. negative history of status epilepticus (p = 0.004). Among histologically confirmed cases, the difference in FA values between FCD and CBP was more pronounced for type IIb versus type I FCD (p = 0.03). CONCLUSIONS FA and MD discriminate between FCD and CBP, while FA differentiates between FCD types. Status epilepticus increases differences in FA, potentially reflecting changes induced in the brain. Our findings support the potential of DTI to serve as a non-invasive biomarker to characterise FCD in the paediatric population.
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Affiliation(s)
- Antonio Giulio Gennari
- Department of Neuropediatrics, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland. .,MR-Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
| | - Dorottya Cserpan
- grid.412341.10000 0001 0726 4330Department of Neuropediatrics, University Children’s Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland
| | - Ilona Stefanos-Yakoub
- grid.412341.10000 0001 0726 4330Department of Neuropediatrics, University Children’s Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland
| | - Raimund Kottke
- grid.412341.10000 0001 0726 4330Department of Diagnostic Imaging, University Children’s Hospital Zurich, Zurich, Switzerland
| | - Ruth O’Gorman Tuura
- grid.412341.10000 0001 0726 4330MR-Research Centre, University Children’s Hospital Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland ,grid.412341.10000 0001 0726 4330Children’s Research Centre, University Children’s Hospital Zurich, Zurich, Switzerland
| | - Georgia Ramantani
- grid.412341.10000 0001 0726 4330Department of Neuropediatrics, University Children’s Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland ,grid.412341.10000 0001 0726 4330Children’s Research Centre, University Children’s Hospital Zurich, Zurich, Switzerland
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36
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Chary K, Manninen E, Claessens J, Ramirez-Manzanares A, Gröhn O, Sierra A. Diffusion MRI approaches for investigating microstructural complexity in a rat model of traumatic brain injury. Sci Rep 2023; 13:2219. [PMID: 36755032 PMCID: PMC9908904 DOI: 10.1038/s41598-023-29010-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 01/30/2023] [Indexed: 02/10/2023] Open
Abstract
Our study explores the potential of conventional and advanced diffusion MRI techniques including diffusion tensor imaging (DTI), and single-shell 3-tissue constrained spherical deconvolution (SS3T-CSD) to investigate complex microstructural changes following severe traumatic brain injury in rats at a chronic phase. Rat brains after sham-operation or lateral fluid percussion (LFP) injury were scanned ex vivo in a 9.4 T scanner. Our region-of-interest-based approach of tensor-, and SS3T-CSD derived fixel-, 3-tissue signal fraction maps were sensitive to changes in both white matter (WM) and grey matter (GM) areas. Tensor-based measures, such as fractional anisotropy (FA) and radial diffusivity (RD), detected more changes in WM and GM areas as compared to fixel-based measures including apparent fiber density (AFD), peak FOD amplitude and primary fiber bundle density, while 3-tissue signal fraction maps revealed distinct changes in WM, GM, and phosphate-buffered saline (PBS) fractions highlighting the complex tissue microstructural alterations post-trauma. Track-weighted imaging demonstrated changes in track morphology including reduced curvature and average pathlength distal from the primary lesion in severe TBI rats. In histological analysis, changes in the diffusion MRI measures could be associated to decreased myelin density, loss of myelinated axons, and increased cellularity, revealing progressive microstructural alterations in these brain areas five months after injury. Overall, this study highlights the use of combined conventional and advanced diffusion MRI measures to obtain more precise insights into the complex tissue microstructural alterations in chronic phase of severe brain injury.
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Affiliation(s)
- Karthik Chary
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland.,Department of Radiology, University of Cambridge, Cambridge, UK
| | - Eppu Manninen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland
| | - Jade Claessens
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland
| | | | - Olli Gröhn
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland
| | - Alejandra Sierra
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland.
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37
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Wong JKY, Churchill NW, Graham SJ, Baker AJ, Schweizer TA. Altered connectivity of default mode and executive control networks among female patients with persistent post-concussion symptoms. Brain Inj 2023; 37:147-158. [PMID: 36594665 DOI: 10.1080/02699052.2022.2163290] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To examine the roles of the default mode network (DMN) and executive control network (ECN) in prolonged recovery after mild traumatic brain injury (mTBI), and relationships with indices of white matter microstructural injury. METHODS Seventeen mTBI patients with persistent symptoms were imaged an average of 21.5 months post-injury, along with 23 healthy controls. Resting-state functional magnetic resonance imaging (rs-fMRI) was used to evaluate functional connectivity (FC) of the DMN and ECN. Diffusion tensor imaging (DTI) quantified fractional anisotropy, along with mean, axial and radial diffusivity of white matter tracts. RESULTS Compared to controls, patients with mTBI had increased functional connectivity of the DMN and ECN to brain regions implicated in salience and frontoparietal networks, and increased white matter diffusivity within the cerebrum and brainstem. Among the patients, FC was correlated with better neurocognitive test scores, while diffusivity was correlated with more severe self-reported symptoms. The FC and diffusivity values within abnormal brain regions were not significantly correlated. CONCLUSION For female mTBI patients with prolonged symptoms, hyper-connectivity may represent a compensatory response that helps to mitigate the effects of mTBI on cognition. These effects are unrelated to indices of microstructural injury, which are correlated with symptom severity, suggesting that rs-fMRI and DTI may capture distinct aspects of pathophysiology.
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Affiliation(s)
- Jimmy K Y Wong
- Brain Health and Wellness Research Program St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Neuroscience Research Program, St. Michael's Hospital, Toronto, Canada
| | - Nathan W Churchill
- Brain Health and Wellness Research Program St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Neuroscience Research Program, St. Michael's Hospital, Toronto, Canada.,Physics Department, Toronto Metropolitan University, Toronto, Canada
| | - Simon J Graham
- Sunnybrook Research Institute of Sunnybrook Health Sciences Centre, Toronto, Canada.,Physical Sciences Platform, Sunnybrook Health Sciences Centre, Toronto, Canada.,Faculty of Medicine (medical Biophysics), University of Toronto Toronto, Canada
| | - Andrew J Baker
- Brain Health and Wellness Research Program St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Faculty of Medicine (Institute of Medical Science), University of Toronto, Toronto, Canada.,Department of Anesthesia, University of Toronto, Toronto, Canada.,Department of Surgery and Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Tom A Schweizer
- Brain Health and Wellness Research Program St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Neuroscience Research Program, St. Michael's Hospital, Toronto, Canada.,Faculty of Medicine (Neurosurgery), University of Toronto, Toronto, Canada.,The Institute of Biomedical Engineering (BME), University of Toronto, Toronto, Canada
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38
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Jing XZ, Li GY, Wu YP, Yuan XZ, Luo XG, Chen JL, Taximaimaiti R, Wang XP, Li JQ. Free water imaging as a novel biomarker in Wilson's disease: A cross-sectional study. Parkinsonism Relat Disord 2023; 106:105234. [PMID: 36481719 DOI: 10.1016/j.parkreldis.2022.105234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/27/2022] [Accepted: 11/30/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND The bi-tensor free water imaging may provide more specific information in detecting microstructural brain tissue alterations than conventional single tensor diffusion tensor imaging. The study aimed to investigate microstructural changes in deep gray matter (DGM) nuclei of Wilson's disease (WD) using a bi-tensor free water imaging and whether the findings correlate with the neurological impairment in WD patients. METHODS The study included 29 WD patients and 25 controls. Free water and free water corrected fractional anisotropy (FAT) in DGM nuclei of WD patients were calculated. The correlations of free water and FAT with the Unified WD Rating Scale (UWDRS) neurological subscale of WD patients were performed. RESULTS Free water and FAT values were significantly increased in multiple DGM nuclei of neurological WD patients compared to controls. WD patients with normal appearing on conventional MRI also had significantly higher free water and FAT values in multiple DGM nuclei than controls. Positive correlations were noted between the UWDRS neurological subscores and free water values of the putamen and pontine tegmentum as well as FAT values of the dentate nucleus, red nucleus, and globus pallidus. In addition, the measured free water and FAT values of specific structures also showed a positive correlation with specific clinical symptoms in neurological WD patients, such as dysarthria, parkinsonian signs, tremor, dystonia, and ataxia. CONCLUSIONS Free water imaging detects microstructural changes in both normal and abnormal appearing DGM nuclei of WD patients. Free water imaging indices were correlated with the severity of neurological impairment in WD patients.
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Affiliation(s)
- Xiao-Zhong Jing
- Department of Neurology, Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Neurology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Gai-Ying Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
| | - Yu-Peng Wu
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
| | - Xiang-Zhen Yuan
- Department of Neurology, Weifang People's Hospital, Weifang, Shandong, China.
| | - Xing-Guang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
| | - Jia-Lin Chen
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
| | - Reyisha Taximaimaiti
- Department of Neurology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xiao-Ping Wang
- Department of Neurology, Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Neurology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jian-Qi Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
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39
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Mayer AR, Ling JM, Dodd AB, Stephenson DD, Pabbathi Reddy S, Robertson-Benta CR, Erhardt EB, Harms RL, Meier TB, Vakhtin AA, Campbell RA, Sapien RE, Phillips JP. Multicompartmental models and diffusion abnormalities in paediatric mild traumatic brain injury. Brain 2022; 145:4124-4137. [PMID: 35727944 DOI: 10.1093/brain/awac221] [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: 11/23/2021] [Revised: 04/29/2022] [Accepted: 06/09/2022] [Indexed: 01/23/2023] Open
Abstract
The underlying pathophysiology of paediatric mild traumatic brain injury and the time-course for biological recovery remains widely debated, with clinical care principally informed by subjective self-report. Similarly, clinical evidence indicates that adolescence is a risk factor for prolonged recovery, but the impact of age-at-injury on biomarkers has not been determined in large, homogeneous samples. The current study collected diffusion MRI data in consecutively recruited patients (n = 203; 8-18 years old) and age and sex-matched healthy controls (n = 170) in a prospective cohort design. Patients were evaluated subacutely (1-11 days post-injury) as well as at 4 months post-injury (early chronic phase). Healthy participants were evaluated at similar times to control for neurodevelopment and practice effects. Clinical findings indicated persistent symptoms at 4 months for a significant minority of patients (22%), along with residual executive dysfunction and verbal memory deficits. Results indicated increased fractional anisotropy and reduced mean diffusivity for patients, with abnormalities persisting up to 4 months post-injury. Multicompartmental geometric models indicated that estimates of intracellular volume fractions were increased in patients, whereas estimates of free water fractions were decreased. Critically, unique areas of white matter pathology (increased free water fractions or increased neurite dispersion) were observed when standard assumptions regarding parallel diffusivity were altered in multicompartmental models to be more biologically plausible. Cross-validation analyses indicated that some diffusion findings were more reproducible when ∼70% of the total sample (142 patients, 119 controls) were used in analyses, highlighting the need for large-sample sizes to detect abnormalities. Supervised machine learning approaches (random forests) indicated that diffusion abnormalities increased overall diagnostic accuracy (patients versus controls) by ∼10% after controlling for current clinical gold standards, with each diffusion metric accounting for only a few unique percentage points. In summary, current results suggest that novel multicompartmental models are more sensitive to paediatric mild traumatic brain injury pathology, and that this sensitivity is increased when using parameters that more accurately reflect diffusion in healthy tissue. Results also indicate that diffusion data may be insufficient to achieve a high degree of objective diagnostic accuracy in patients when used in isolation, which is to be expected given known heterogeneities in pathophysiology, mechanism of injury and even criteria for diagnoses. Finally, current results indicate ongoing clinical and physiological recovery at 4 months post-injury.
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Affiliation(s)
- Andrew R Mayer
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA.,Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA.,Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA.,Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131, USA
| | - Josef M Ling
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA
| | - Andrew B Dodd
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA
| | | | | | | | - Erik B Erhardt
- Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA
| | | | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.,Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA.,Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | | | - Richard A Campbell
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131, USA
| | - Robert E Sapien
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131, USA
| | - John P Phillips
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA.,Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA
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40
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David S, Brown LL, Heemskerk AM, Aron E, Leemans A, Aron A. Sensory processing sensitivity and axonal microarchitecture: identifying brain structural characteristics for behavior. Brain Struct Funct 2022; 227:2769-2785. [PMID: 36151482 PMCID: PMC9618477 DOI: 10.1007/s00429-022-02571-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 09/08/2022] [Indexed: 11/25/2022]
Abstract
Previous research using functional MRI identified brain regions associated with sensory processing sensitivity (SPS), a proposed normal phenotype trait. To further validate SPS, to characterize it anatomically, and to test the usefulness in psychology of methodologies that assess axonal properties, the present study correlated SPS proxy questionnaire scores (adjusted for neuroticism) with diffusion tensor imaging (DTI) measures. Participants (n = 408) from the Human Connectome Project were studied. Voxelwise analysis showed that mean- and radial diffusivity correlated positively with SPS scores in the right and left subcallosal and anterior-ventral cingulum bundle, and the right forceps minor of the corpus callosum, all frontal cortex areas generally underlying emotion, motivation, and cognition. Further analyses showed correlations throughout medial frontal cortical regions in the right and left ventromedial prefrontal cortex, including the superior longitudinal fasciculus, inferior fronto-occipital fasciculus, uncinate, and arcuate fasciculus. Fractional anisotropy was negatively correlated with SPS scores in white matter (WM) of the right premotor/motor/somatosensory/supramarginal gyrus regions. Region of interest (ROI) analysis showed small effect sizes (- 0.165 to 0.148) in WM of the precuneus and inferior frontal gyrus. Other ROI effects were found in the dorsal-, ventral visual pathways and primary auditory cortex. The results reveal that in a large group of participants, axonal microarchitectural differences can be identified with SPS traits that are subtle and in the range of typical behavior. The results suggest that the heightened sensory processing in people who show that SPS may be influenced by the microstructure of WM in specific cortical regions. Although previous fMRI studies had identified most of these areas, the DTI results put a new focus on brain areas related to attention and cognitive flexibility, empathy, emotion, and first levels of sensory processing, as in primary auditory cortex. Psychological trait characterization may benefit from DTI methodology by identifying influential brain systems for traits.
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Affiliation(s)
- Szabolcs David
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Lucy L Brown
- Department of Neurology, Einstein College of Medicine, Bronx, NY, USA
| | - Anneriet M Heemskerk
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Elaine Aron
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Arthur Aron
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
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Nakuci J, McGuire M, Schweser F, Poulsen D, Muldoon SF. Differential Patterns of Change in Brain Connectivity Resulting from Severe Traumatic Brain Injury. Brain Connect 2022; 12:799-811. [PMID: 35302399 PMCID: PMC9805864 DOI: 10.1089/brain.2021.0168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Background: Traumatic brain injury (TBI) damages white matter tracts, disrupting brain network structure and communication. There exists a wide heterogeneity in the pattern of structural damage associated with injury, as well as a large heterogeneity in behavioral outcomes. However, little is known about the relationship between changes in network connectivity and clinical outcomes. Materials and Methods: We utilize the rat lateral fluid-percussion injury model of severe TBI to study differences in brain connectivity in 8 animals that received the insult and 11 animals that received only a craniectomy. Diffusion tensor imaging is performed 5 weeks after the injury and network theory is used to investigate changes in white matter connectivity. Results: We find that (1) global network measures are not able to distinguish between healthy and injured animals; (2) injury induced alterations predominantly exist in a subset of connections (subnetworks) distributed throughout the brain; and (3) injured animals can be divided into subgroups based on changes in network motifs-measures of local structural connectivity. In addition, alterations in predicted functional connectivity indicate that the subgroups have different propensities to synchronize brain activity, which could relate to the heterogeneity of clinical outcomes. Discussion: These results suggest that network measures can be used to quantify progressive changes in brain connectivity due to injury and differentiate among subpopulations with similar injuries, but different pathological trajectories.
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Affiliation(s)
- Johan Nakuci
- Neuroscience Program, University at Buffalo, SUNY, Buffalo, New York, USA
| | - Matthew McGuire
- Neuroscience Program, University at Buffalo, SUNY, Buffalo, New York, USA
- Department of Neurosurgery, University at Buffalo, SUNY, Buffalo, New York, USA
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, SUNY, Buffalo, New York, USA
- Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, SUNY, Buffalo, New York, USA
| | - David Poulsen
- Department of Neurosurgery, University at Buffalo, SUNY, Buffalo, New York, USA
| | - Sarah F. Muldoon
- Neuroscience Program, University at Buffalo, SUNY, Buffalo, New York, USA
- Department of Mathematics and CDSE Program, University at Buffalo, SUNY, Buffalo, New York, USA
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42
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Petroff RL, Williams C, Li JL, MacDonald JW, Bammler TK, Richards T, English CN, Baldessari A, Shum S, Jing J, Isoherranen N, Crouthamel B, McKain N, Grant KS, Burbacher TM, Harry GJ. Prolonged, Low-Level Exposure to the Marine Toxin, Domoic Acid, and Measures of Neurotoxicity in Nonhuman Primates. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:97003. [PMID: 36102641 PMCID: PMC9472675 DOI: 10.1289/ehp10923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 07/21/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The excitotoxic molecule, domoic acid (DA), is a marine algal toxin known to induce overt hippocampal neurotoxicity. Recent experimental and epidemiological studies suggest adverse neurological effects at exposure levels near the current regulatory limit (20 ppm, ∼0.075-0.1mg/kg). At these levels, cognitive effects occur in the absence of acute symptoms or evidence of neuronal death. OBJECTIVES This study aimed to identify adverse effects on the nervous system from prolonged, dietary DA exposure in adult, female Macaca fascicularis monkeys. METHODS Monkeys were orally exposed to 0, 0.075, and 0.15mg/kg per day for an average of 14 months. Clinical blood counts, chemistry, and cytokine levels were analyzed in the blood. In-life magnetic resonance (MR) imaging assessed volumetric and tractography differences in and between the hippocampus and thalamus. Histology of neurons and glia in the fornix, fimbria, internal capsule, thalamus, and hippocampus was evaluated. Hippocampal RNA sequencing was used to identify differentially expressed genes. Enrichment of gene networks for neuronal health, excitotoxicity, inflammation/glia, and myelin were assessed with Gene Set Enrichment Analysis. RESULTS Clinical blood counts, chemistry, and cytokine levels were not altered with DA exposure in nonhuman primates. Transcriptome analysis of the hippocampus yielded 748 differentially expressed genes (fold change≥1.5; p≤0.05), reflecting differences in a broad molecular profile of intermediate early genes (e.g., FOS, EGR) and genes related to myelin networks in DA animals. Between exposed and control animals, MR imaging showed comparable connectivity of the hippocampus and thalamus and histology showed no evidence of hypomyelination. Histological examination of the thalamus showed a larger microglia soma size and an extension of cell processes, but suggestions of a GFAP+astrocyte response showed no indication of astrocyte hypertrophy. DISCUSSION In the absence of overt hippocampal excitotoxicity, chronic exposure of Macaca fascicularis monkeys to environmentally relevant levels of DA suggested a subtle shift in the molecular profile of the hippocampus and the microglia phenotype in the thalamus that was possibly reflective of an adaptive response due to prolonged DA exposure. https://doi.org/10.1289/EHP10923.
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Affiliation(s)
- Rebekah L. Petroff
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Christopher Williams
- Mechanistic Toxicology Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Jian-Liang Li
- Epigenetics & Stem Cell Biology Laboratory, NIEHS, NIH, DHHS, Research Triangle Park, North Carolina, USA
| | - James W. MacDonald
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Theo K. Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Todd Richards
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | | | - Audrey Baldessari
- Washington National Primate Research Center, Seattle, Washington, USA
| | - Sara Shum
- Department of Pharmaceutics, University of Washington, Seattle, Washington, USA
| | - Jing Jing
- Department of Pharmaceutics, University of Washington, Seattle, Washington, USA
| | - Nina Isoherranen
- Department of Pharmaceutics, University of Washington, Seattle, Washington, USA
- Center on Human Development and Disability, University of Washington, Seattle, Washington, USA
| | - Brenda Crouthamel
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Noelle McKain
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Kimberly S. Grant
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Washington National Primate Research Center, Seattle, Washington, USA
| | - Thomas M. Burbacher
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Washington National Primate Research Center, Seattle, Washington, USA
- Center on Human Development and Disability, University of Washington, Seattle, Washington, USA
| | - G. Jean Harry
- Mechanistic Toxicology Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
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43
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Kaufmann E, Rojczyk P, Sydnor VJ, Guenette JP, Tripodis Y, Kaufmann D, Umminger L, Seitz-Holland J, Sollmann N, Rathi Y, Bouix S, Fortier CB, Salat D, Pasternak O, Hinds SR, Milberg WP, McGlinchey RE, Shenton ME, Koerte IK. Association of War Zone-Related Stress With Alterations in Limbic Gray Matter Microstructure. JAMA Netw Open 2022; 5:e2231891. [PMID: 36112375 PMCID: PMC9482063 DOI: 10.1001/jamanetworkopen.2022.31891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
IMPORTANCE Military service members returning from theaters of war are at increased risk for mental illness, but despite high prevalence and substantial individual and societal burden, the underlying pathomechanisms remain largely unknown. Exposure to high levels of emotional stress in theaters of war and mild traumatic brain injury (mTBI) are presumed factors associated with risk for the development of mental disorders. OBJECTIVE To investigate (1) whether war zone-related stress is associated with microstructural alterations in limbic gray matter (GM) independent of mental disorders common in this population, (2) whether associations between war zone-related stress and limbic GM microstructure are modulated by a history of mTBI, and (3) whether alterations in limbic GM microstructure are associated with neuropsychological functioning. DESIGN, SETTING, AND PARTICIPANTS This cohort study was part of the TRACTS (Translational Research Center for TBI and Stress Disorders) study, which took place in 2010 to 2014 at the Veterans Affair Rehabilitation Research and Development TBI National Network Research Center. Participants included male veterans (aged 18-65 years) with available diffusion tensor imaging data enrolled in the TRACTS study. Data analysis was performed between December 2017 to September 2021. EXPOSURES The Deployment Risk and Resilience Inventory (DRRI) was used to measure exposure to war zone-related stress. The Boston Assessment of TBI-Lifetime was used to assess history of mTBI. Stroop Inhibition (Stroop-IN) and Inhibition/Switching (Stroop-IS) Total Error Scaled Scores were used to assess executive or attentional control functions. MAIN OUTCOMES AND MEASURES Diffusion characteristics (fractional anisotropy of tissue [FAT]) of 16 limbic and paralimbic GM regions and measures of functional outcome. RESULTS Among 384 male veterans recruited, 168 (mean [SD] age, 31.4 [7.4] years) were analyzed. Greater war zone-related stress was associated with lower FAT in the cingulate (DRRI-combat left: P = .002, partial r = -0.289; DRRI-combat right: P = .02, partial r = -0.216; DRRI-aftermath left: P = .004, partial r = -0.281; DRRI-aftermath right: P = .02, partial r = -0.219), orbitofrontal (DRRI-combat left medial orbitofrontal cortex: P = .02, partial r = -0.222; DRRI-combat right medial orbitofrontal cortex: P = .005, partial r = -0.256; DRRI-aftermath left medial orbitofrontal cortex: P = .02, partial r = -0.214; DRRI-aftermath right medial orbitofrontal cortex: P = .005, partial r = -0.260; DRRI-aftermath right lateral orbitofrontal cortex: P = .03, partial r = -0.196), and parahippocampal (DRRI-aftermath right: P = .03, partial r = -0.191) gyrus, as well as with higher FAT in the amygdala-hippocampus complex (DRRI-combat: P = .005, partial r = 0.254; DRRI-aftermath: P = .02, partial r = 0.223). Lower FAT in the cingulate-orbitofrontal gyri was associated with impaired response inhibition (Stroop-IS left cingulate: P < .001, partial r = -0.440; Stroop-IS right cingulate: P < .001, partial r = -0.372; Stroop-IS left medial orbitofrontal cortex: P < .001, partial r = -0.304; Stroop-IS right medial orbitofrontal cortex: P < .001, partial r = -0.340; Stroop-IN left cingulate: P < .001, partial r = -0.421; Stroop-IN right cingulate: P < .001, partial r = -0.300; Stroop-IN left medial orbitofrontal cortex: P = .01, partial r = -0.223; Stroop-IN right medial orbitofrontal cortex: P < .001, partial r = -0.343), whereas higher FAT in the mesial temporal regions was associated with improved short-term memory and processing speed (left amygdala-hippocampus complex: P < .001, partial r = -0.574; right amygdala-hippocampus complex: P < .001, partial r = 0.645; short-term memory left amygdala-hippocampus complex: P < .001, partial r = 0.570; short-term memory right amygdala-hippocampus complex: P < .001, partial r = 0.633). A history of mTBI did not modulate the association between war zone-related stress and GM diffusion. CONCLUSIONS AND RELEVANCE This study revealed an association between war zone-related stress and alteration of limbic GM microstructure, which was associated with cognitive functioning. These results suggest that altered limbic GM microstructure may underlie the deleterious outcomes of war zone-related stress on brain health. Military service members may benefit from early therapeutic interventions after deployment to a war zone.
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Affiliation(s)
- Elisabeth Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Philine Rojczyk
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Valerie J. Sydnor
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jeffrey P. Guenette
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts
| | - David Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Klinikum Augsburg, Germany
| | - Lisa Umminger
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Nico Sollmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Catherine B. Fortier
- Translational Research Center for TBI and Stress Disorders and Geriatric Research, Education and Clinical Center, VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - David Salat
- Translational Research Center for TBI and Stress Disorders and Geriatric Research, Education and Clinical Center, VA Boston Healthcare System, Boston, Massachusetts
- Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, Massachusetts
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Sidney R. Hinds
- Department of Neurology, Uniformed Services University of the Health Science, Bethesda, Maryland
| | - William P. Milberg
- Translational Research Center for TBI and Stress Disorders and Geriatric Research, Education and Clinical Center, VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Regina E. McGlinchey
- Translational Research Center for TBI and Stress Disorders and Geriatric Research, Education and Clinical Center, VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Inga K. Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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Migneron-Foisy V, Muckle G, Jacobson JL, Ayotte P, Jacobson SW, Saint-Amour D. Impact of chronic exposure to legacy environmental contaminants on the corpus callosum microstructure: A diffusion MRI study of Inuit adolescents. Neurotoxicology 2022; 92:200-211. [PMID: 35995272 DOI: 10.1016/j.neuro.2022.08.010] [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: 04/07/2021] [Revised: 08/11/2022] [Accepted: 08/17/2022] [Indexed: 11/28/2022]
Abstract
Exposure to environmental contaminants is an important public health concern for the Inuit population of northern Québec, who have been exposed to mercury (Hg), polychlorinated biphenyls (PCBs) and lead (Pb). During the last 25 years, the Nunavik Child Development Study (NCDS) birth cohort has reported adverse associations between these exposures and brain function outcomes. In the current study, we aimed to determine whether contaminant exposure is associated with alterations of the corpus callosum (CC), which plays an important role in various cognitive, motor and sensory function processes. Magnetic resonance imaging (MRI) was administered to 89 NCDS participants (mean age ± SD = 18.4 ± 1.2). Diffusion-weighted imaging was assessed to characterize the microstructure of the CC white matter in 7 structurally and functionally distinct regions of interest (ROIs) using a tractography-based segmentation approach. The following metrics were computed: fiber tract density, fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD). Multiple linear regression models adjusted for sex, age, current alcohol/drug use and fish nutrients (omega-3 fatty acids and selenium) were conducted to assess the association between diffusion-weighted imaging metrics and Hg, PCB 153 and Pb concentrations obtained at birth in the cord blood and postnatally (mean values from blood samples at 11 and 18 years of age). Exposures were not associated with fiber tract density. Nor were significant associations found with cord and postnatal blood Pb concentrations for FA. However, pre- and postnatal Hg and PCB concentrations were significantly associated with higher FA of several regions of the CC, namely anterior midbody, posterior midbody, isthmus, and splenium, with the most pronounced effects observed in the splenium. FA results were mainly associated with lower RD. This study shows that exposure to Hg and PCB 153 alters the posterior microstructure of the CC, providing neuroimaging evidence of how developmental exposure to environmental chemicals can impair brain function and behavior in late adolescence.
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Affiliation(s)
- Vincent Migneron-Foisy
- Department of Psychology, Université du Québec à Montréal, Montréal, Québec, Canada; Sainte-Justine University Hospital Research Center, Montréal, Québec, Canada
| | - Gina Muckle
- School of Psychology, Université Laval, Québec, Québec, Canada; Centre de Recherche du CHUQ de Québec, Université Laval, Québec, Canada
| | - Joseph L Jacobson
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Pierre Ayotte
- Department of Social and Preventive Medicine, Université Laval, Québec, Québec, Canada
| | - Sandra W Jacobson
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Dave Saint-Amour
- Department of Psychology, Université du Québec à Montréal, Montréal, Québec, Canada; Sainte-Justine University Hospital Research Center, Montréal, Québec, Canada.
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45
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Benjamini D, Priemer DS, Perl DP, Brody DL, Basser PJ. Mapping astrogliosis in the individual human brain using multidimensional MRI. Brain 2022; 146:1212-1226. [PMID: 35953450 PMCID: PMC9976979 DOI: 10.1093/brain/awac298] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 06/13/2022] [Accepted: 08/06/2022] [Indexed: 11/14/2022] Open
Abstract
There are currently no non-invasive imaging methods available for astrogliosis assessment or mapping in the central nervous system despite its essential role in the response to many disease states, such as infarcts, neurodegenerative conditions, traumatic brain injury and infection. Multidimensional MRI is an increasingly employed imaging modality that maximizes the amount of encoded chemical and microstructural information by probing relaxation (T1 and T2) and diffusion mechanisms simultaneously. Here, we harness the exquisite sensitivity of this imagining modality to derive a signature of astrogliosis and disentangle it from normative brain at the individual level using machine learning. We investigated ex vivo cerebral cortical tissue specimens derived from seven subjects who sustained blast-induced injuries, which resulted in scar-border forming astrogliosis without being accompanied by other types of neuropathological abnormality, and from seven control brain donors. By performing a combined post-mortem radiology and histopathology correlation study we found that astrogliosis induces microstructural and chemical changes that are robustly detected with multidimensional MRI, and which can be attributed to astrogliosis because no axonal damage, demyelination or tauopathy were histologically observed in any of the cases in the study. Importantly, we showed that no one-dimensional T1, T2 or diffusion MRI measurement can disentangle the microscopic alterations caused by this neuropathology. Based on these findings, we developed a within-subject anomaly detection procedure that generates MRI-based astrogliosis biomarker maps ex vivo, which were significantly and strongly correlated with co-registered histological images of increased glial fibrillary acidic protein deposition (r = 0.856, P < 0.0001; r = 0.789, P < 0.0001; r = 0.793, P < 0.0001, for diffusion-T2, diffusion-T1 and T1-T2 multidimensional data sets, respectively). Our findings elucidate the underpinning of MRI signal response from astrogliosis, and the demonstrated high spatial sensitivity and specificity in detecting reactive astrocytes at the individual level, and if reproduced in vivo, will significantly impact neuroimaging studies of injury, disease, repair and aging, in which astrogliosis has so far been an invisible process radiologically.
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Affiliation(s)
- Dan Benjamini
- Correspondence to: Dan Benjamini, PhD National Institutes of Health (NIH), 251 Bayview Blvd., Baltimore, MD 21224, USA E-mail:
| | - David S Priemer
- Department of Pathology, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA,The Department of Defense/Uniformed Services, University Brain Tissue Repository, Bethesda, MD 20814, USA,The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD 20817, USA
| | - Daniel P Perl
- Department of Pathology, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA,The Department of Defense/Uniformed Services, University Brain Tissue Repository, Bethesda, MD 20814, USA
| | - David L Brody
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA,Department of Neurology, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA,Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Peter J Basser
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD 20891, USA,Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
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46
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McDonald MA, Tayebi M, McGeown JP, Kwon EE, Holdsworth SJ, Danesh-Meyer HV. A window into eye movement dysfunction following mTBI: A scoping review of magnetic resonance imaging and eye tracking findings. Brain Behav 2022; 12:e2714. [PMID: 35861623 PMCID: PMC9392543 DOI: 10.1002/brb3.2714] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 04/11/2022] [Accepted: 05/23/2022] [Indexed: 12/01/2022] Open
Abstract
Mild traumatic brain injury (mTBI), commonly known as concussion, is a complex neurobehavioral phenomenon affecting six in 1000 people globally each year. Symptoms last between days and years as microstructural damage to axons and neurometabolic changes result in brain network disruption. There is no clinically available objective biomarker to diagnose the severity of injury or monitor recovery. However, emerging evidence suggests eye movement dysfunction (e.g., saccades and smooth pursuits) in patients with mTBI. Patients with a higher symptom burden and prolonged recovery time following injury may show higher degrees of eye movement dysfunction. Likewise, recent advances in magnetic resonance imaging (MRI) have revealed both white matter tract damage and functional network alterations in mTBI patients, which involve areas responsible for the ocular motor control. This scoping review is presented in three sections: Section 1 explores the anatomical control of eye movements to aid the reader with interpreting the discussion in subsequent sections. Section 2 examines the relationship between abnormal MRI findings and eye tracking after mTBI based on the available evidence. Finally, Section 3 communicates gaps in our knowledge about MRI and eye tracking, which should be addressed in order to substantiate this emerging field.
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Affiliation(s)
- Matthew A McDonald
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Mātai Medical Research Institute, Gisborne, New Zealand
| | - Maryam Tayebi
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Joshua P McGeown
- Mātai Medical Research Institute, Gisborne, New Zealand.,Auckland University of Technology Traumatic Brain Injury Network, Auckland, New Zealand
| | - Eryn E Kwon
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Mātai Medical Research Institute, Gisborne, New Zealand.,Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Samantha J Holdsworth
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Mātai Medical Research Institute, Gisborne, New Zealand.,Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Helen V Danesh-Meyer
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Eye Institute, Auckland, New Zealand
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47
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García AO, Brambati SM, Desautels A, Marcotte K. Timing stroke: A review on stroke pathophysiology and its influence over time on diffusion measures. J Neurol Sci 2022; 441:120377. [DOI: 10.1016/j.jns.2022.120377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/30/2022] [Accepted: 07/31/2022] [Indexed: 11/26/2022]
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48
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San Martín Molina I, Salo RA, Gröhn O, Tohka J, Sierra A. Histopathological modeling of status epilepticus-induced brain damage based on in vivo diffusion tensor imaging in rats. Front Neurosci 2022; 16:944432. [PMID: 35968364 PMCID: PMC9372371 DOI: 10.3389/fnins.2022.944432] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 07/07/2022] [Indexed: 11/13/2022] Open
Abstract
Non-invasive magnetic resonance imaging (MRI) methods have proved useful in the diagnosis and prognosis of neurodegenerative diseases. However, the interpretation of imaging outcomes in terms of tissue pathology is still challenging. This study goes beyond the current interpretation of in vivo diffusion tensor imaging (DTI) by constructing multivariate models of quantitative tissue microstructure in status epilepticus (SE)-induced brain damage. We performed in vivo DTI and histology in rats at 79 days after SE and control animals. The analyses focused on the corpus callosum, hippocampal subfield CA3b, and layers V and VI of the parietal cortex. Comparison between control and SE rats indicated that a combination of microstructural tissue changes occurring after SE, such as cellularity, organization of myelinated axons, and/or morphology of astrocytes, affect DTI parameters. Subsequently, we constructed a multivariate regression model for explaining and predicting histological parameters based on DTI. The model revealed that DTI predicted well the organization of myelinated axons (cross-validated R = 0.876) and astrocyte processes (cross-validated R = 0.909) and possessed a predictive value for cell density (CD) (cross-validated R = 0.489). However, the morphology of astrocytes (cross-validated R > 0.05) was not well predicted. The inclusion of parameters from CA3b was necessary for modeling histopathology. Moreover, the multivariate DTI model explained better histological parameters than any univariate model. In conclusion, we demonstrate that combining several analytical and statistical tools can help interpret imaging outcomes to microstructural tissue changes, opening new avenues to improve the non-invasive diagnosis and prognosis of brain tissue damage.
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Hung Y, Vandewouw M, Emami Z, Bells S, Rudberg N, da Costa L, Dunkley BT. Memory retrieval brain-behavior disconnection in mild traumatic brain injury: A magnetoencephalography and diffusion tensor imaging study. Hum Brain Mapp 2022; 43:5296-5309. [PMID: 35796166 PMCID: PMC9812251 DOI: 10.1002/hbm.26003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 06/19/2022] [Accepted: 06/22/2022] [Indexed: 01/15/2023] Open
Abstract
Mild traumatic brain (mTBI) injury is often associated with long-term cognitive and behavioral complications, including an increased risk of memory impairment. Current research challenges include a lack of cross-modal convergence regarding the underlying neural-behavioral mechanisms of mTBI, which hinders therapeutics and outcome management for this frequently under-treated and vulnerable population. We used multi-modality imaging methods including magnetoencephalography (MEG) and diffusion tensor imaging (DTI) to investigate brain-behavior impairment in mTBI related to working memory. A total of 41 participants were recruited, including 23 patients with a first-time mTBI imaged within 3 months of injury (all male, age = 29.9, SD = 6.9), and 18 control participants (all male, age = 27.3, SD = 5.3). Whole-brain statistics revealed spatially concomitant functional-structural disruptions in brain-behavior interactions in working memory in the mTBI group compared with the control group. These disruptions are located in the hippocampal-prefrontal region and, additionally, in the amygdala (measured by MEG neural activation and DTI measures of fractional anisotropy in relation to working memory performance; p < .05, two-way ANCOVA, nonparametric permutations, corrected). Impaired brain-behavior connections found in the hippocampal-prefrontal and amygdala circuits indicate brain dysregulation of memory, which may leave mTBI patients vulnerable to increased environmental demands exerting memory resources, leading to related cognitive and emotional psychopathologies. The findings yield clinical implications and highlight a need for early rehabilitation after mTBI, including attention- and sensory-based behavioral exercises.
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Affiliation(s)
- Yuwen Hung
- Martinos Imaging Center at McGovern Institute for Brain Research, Harvard‐MITCambridgeMassachusettsUSA,Program in Neurosciences & Mental HealthHospital for Sick Children Research InstituteTorontoOntarioCanada
| | - Marlee Vandewouw
- Program in Neurosciences & Mental HealthHospital for Sick Children Research InstituteTorontoOntarioCanada,Institute of Biomedical EngineeringUniversity of TorontoTorontoOntarioCanada
| | - Zahra Emami
- Program in Neurosciences & Mental HealthHospital for Sick Children Research InstituteTorontoOntarioCanada
| | - Sonya Bells
- Program in Neurosciences & Mental HealthHospital for Sick Children Research InstituteTorontoOntarioCanada
| | | | - Leodante da Costa
- Department of Surgery, Division of NeurosurgerySunnybrook HospitalTorontoOntarioCanada
| | - Benjamin T. Dunkley
- Program in Neurosciences & Mental HealthHospital for Sick Children Research InstituteTorontoOntarioCanada,Department of Diagnostic ImagingHospital for Sick ChildrenTorontoOntarioCanada,Department of Medical ImagingUniversity of TorontoTorontoOntarioCanada
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50
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Mito R, Parker DM, Abbott DF, Makdissi M, Pedersen M, Jackson GD. White matter abnormalities characterize the acute stage of sports-related mild traumatic brain injury. Brain Commun 2022; 4:fcac208. [PMID: 36043140 PMCID: PMC9419063 DOI: 10.1093/braincomms/fcac208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/29/2022] [Accepted: 08/14/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Sports-related concussion, a form of mild traumatic brain injury, is characterized by transient disturbances of brain function. There is increasing evidence that functional brain changes may be driven by subtle abnormalities in white matter microstructure, and diffusion MRI has been instrumental in demonstrating these white matter abnormalities in vivo. However, the reported location and direction of the observed white matter changes in mild traumatic brain injury are variable, likely attributable to the inherent limitations of the white matter models used. This cross-sectional study applies an advanced and robust technique known as fixel-based analysis to investigate fibre tract-specific abnormalities in professional Australian Football League players with a recent mild traumatic brain injury. We used the fixel-based analysis framework to identify common abnormalities found in specific fibre tracts in participants with an acute injury (≤12 days after injury; n = 14). We then assessed whether similar changes exist in subacute injury (>12 days and <3 months after injury; n = 15). The control group was 29 neurologically healthy control participants. We assessed microstructural differences in fibre density and fibre bundle morphology and performed whole-brain fixel-based analysis to compare groups. Subsequent tract-of-interest analyses were performed within five selected white matter tracts to investigate the relationship between the observed tract-specific abnormalities and days since injury and the relationship between these tract-specific changes with cognitive abnormalities. Our whole-brain analyses revealed significant increases in fibre density and bundle cross-section in the acute mild traumatic brain injury group when compared with controls. The acute mild traumatic brain injury group showed even more extensive differences when compared with the subacute injury group than with controls. The fibre structures affected in acute concussion included the corpus callosum, left prefrontal and left parahippocampal white matter. The fibre density and cross-sectional increases were independent of time since injury in the acute injury group, and were not associated with cognitive deficits. Overall, this study demonstrates that acute mild traumatic brain injury is characterized by specific white matter abnormalities, which are compatible with tract-specific cytotoxic oedema. These potential oedematous changes were absent in our subacute mild traumatic brain injury participants, suggesting that they may normalize within 12 days after injury, although subtle abnormalities may persist in the subacute stage. Future longitudinal studies are needed to elucidate individualized recovery after brain injury.
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Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
| | - Donna M Parker
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
| | - David F Abbott
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne , Melbourne, VIC 3052 , Australia
| | - Michael Makdissi
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
- Olympic Park Sports Medicine Centre , Melbourne, VIC 3004 , Australia
| | - Mangor Pedersen
- Florey Department of Neuroscience and Mental Health, University of Melbourne , Melbourne, VIC 3052 , Australia
- Department of Psychology and Neuroscience, Auckland University of Technology (AUT) , Auckland 1010 , New Zealand
| | - Graeme D Jackson
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne , Melbourne, VIC 3052 , Australia
- Department of Neurology, Austin Health , Melbourne, VIC 3084 , Australia
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