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Fujimoto SH, Fujimoto A, Elorette C, Seltzer A, Andraka E, Verma G, Janssen WGM, Fleysher L, Folloni D, Choi KS, Russ BE, Mayberg HS, Rudebeck PH. Deep brain stimulation induces white matter remodeling and functional changes to brain-wide networks. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.13.598710. [PMID: 38915600 PMCID: PMC11195276 DOI: 10.1101/2024.06.13.598710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Deep brain stimulation (DBS) is an emerging therapeutic option for treatment resistant neurological and psychiatric disorders, most notably depression. Despite this, little is known about the anatomical and functional mechanisms that underlie this therapy. Here we targeted stimulation to the white matter adjacent to the subcallosal anterior cingulate cortex (SCC-DBS) in macaques, modeling the location in the brain proven effective for depression. We demonstrate that SCC-DBS has a selective effect on white matter macro- and micro-structure in the cingulum bundle distant to where stimulation was delivered. SCC-DBS also decreased functional connectivity between subcallosal and posterior cingulate cortex, two areas linked by the cingulum bundle and implicated in depression. Our data reveal that white matter remodeling as well as functional effects contribute to DBS's therapeutic efficacy.
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Affiliation(s)
- Satoka H. Fujimoto
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Lipschultz Center for Cognitive Neuroscience, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Atsushi Fujimoto
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Lipschultz Center for Cognitive Neuroscience, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Catherine Elorette
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Lipschultz Center for Cognitive Neuroscience, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Adela Seltzer
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Lipschultz Center for Cognitive Neuroscience, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Emma Andraka
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Lipschultz Center for Cognitive Neuroscience, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Gaurav Verma
- Nash Family Center for Advanced Circuit Therapeutics, Mount Sinai West Hospital; New York, NY 10019, USA
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - William GM Janssen
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Lazar Fleysher
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Davide Folloni
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Lipschultz Center for Cognitive Neuroscience, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Ki Sueng Choi
- Nash Family Center for Advanced Circuit Therapeutics, Mount Sinai West Hospital; New York, NY 10019, USA
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
| | - Brian E. Russ
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute; Orangeburg, NY 10962, USA
- Department of Psychiatry, New York University at Langone; New York, NY 10016, USA
| | - Helen S. Mayberg
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Nash Family Center for Advanced Circuit Therapeutics, Mount Sinai West Hospital; New York, NY 10019, USA
| | - Peter H. Rudebeck
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Lipschultz Center for Cognitive Neuroscience, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
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2
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Gool JK, Dang-Vu TT, van der Werf YD. White matter integrity in narcolepsy: the structural blueprint for functional complaints? Sleep 2024; 47:zsae020. [PMID: 38263318 PMCID: PMC11168760 DOI: 10.1093/sleep/zsae020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Indexed: 01/25/2024] Open
Affiliation(s)
- Jari K Gool
- Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Stichting Epilepsie Instellingen Nederland (SEIN), Sleep-Wake Centre, Heemstede, Netherlands
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
- Compulsivity, Impulsivity and Attention, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Thien Thanh Dang-Vu
- Centre de recherche de l’Institut universitaire de gériatrie de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l’Ile-de-Montréal, Montreal, QC, Canada
- Center for Studies in Behavioral Neurobiology, Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Ysbrand D van der Werf
- Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Compulsivity, Impulsivity and Attention, Amsterdam Neuroscience, Amsterdam, The Netherlands
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Nyakonda CN, Wedderburn CJ, Williams SR, Stein DJ, Donald KA. Understanding the impact of congenital infections and perinatal viral exposures on the developing brain using white matter magnetic resonance imaging: a scoping review. BMC Med Imaging 2024; 24:119. [PMID: 38783187 PMCID: PMC11119575 DOI: 10.1186/s12880-024-01282-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Magnetic Resonance Imaging (MRI)-based imaging techniques are useful for assessing white matter (WM) structural and microstructural integrity in the context of infection and inflammation. The purpose of this scoping review was to assess the range of work on the use of WM neuroimaging approaches to understand the impact of congenital and perinatal viral infections or exposures on the developing brain. METHODS This scoping review was conducted according to the Arksey and O' Malley framework. A literature search was performed in Web of Science, Scopus and PubMed for primary research articles published from database conception up to January 2022. Studies evaluating the use of MRI-based WM imaging techniques in congenital and perinatal viral infections or exposures were included. Results were grouped by age and infection. RESULTS A total of 826 articles were identified for screening and 28 final articles were included. Congenital and perinatal infections represented in the included studies were cytomegalovirus (CMV) infection (n = 12), human immunodeficiency virus (HIV) infection (n = 11) or exposure (n = 2) or combined (n = 2), and herpes simplex virus (HSV) infection (n = 1). The represented MRI-based WM imaging methods included structural MRI and diffusion-weighted and diffusion tensor MRI (DWI/ DTI). Regions with the most frequently reported diffusion metric group differences included the cerebellar region, corticospinal tract and association fibre WM tracts in both children with HIV infection and children who are HIV-exposed uninfected. In qualitative imaging studies, WM hyperintensities were the most frequently reported brain abnormality in children with CMV infection and children with HSV infection. CONCLUSION There was evidence that WM imaging techniques can play a role as diagnostic and evaluation tools assessing the impact of congenital infections and perinatal viral exposures on the developing brain. The high sensitivity for identifying WM hyperintensities suggests structural brain MRI is a useful neurodiagnostic modality in assessing children with congenital CMV infection, while the DTI changes associated with HIV suggest metrics such as fractional anisotropy have the potential to be specific markers of subtle impairment or WM damage in neuroHIV.
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Affiliation(s)
- Charmaine Natasha Nyakonda
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
- Neuroscience Institute, University of Cape Town, Capetown, South Africa.
| | - Catherine J Wedderburn
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
- Neuroscience Institute, University of Cape Town, Capetown, South Africa
| | - Simone R Williams
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Capetown, South Africa
| | - Dan J Stein
- Department of Psychiatry and Mental Health and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- MRC Unit of Risk and Resilience, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Capetown, South Africa
| | - Kirsten A Donald
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
- Neuroscience Institute, University of Cape Town, Capetown, South Africa.
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Hoffman LJ, Foley JM, Leong JK, Sullivan-Toole H, Elliott BL, Olson IR. An in vivo Dissection, and Analysis of Socio-Affective Symptoms related to Cerebellum-Midbrain Reward Circuitry in Humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.29.560239. [PMID: 38798382 PMCID: PMC11118266 DOI: 10.1101/2023.09.29.560239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Emerging research in non-human animals implicates cerebellar projections to the ventral tegmental area (VTA) in appetitive behaviors, but these circuits have not been characterized in humans. Here, we mapped cerebello-VTA white-matter connectivity in humans using probabilistic tractography on diffusion imaging data from the Human Connectome Project. We uncovered the topographical organization of these connections by separately tracking from parcels of cerebellar lobule VI, crus I/II, vermis, paravermis, and cerebrocerebellum. Results revealed that connections from the cerebellum to the VTA predominantly originate in the right hemisphere, interposed nucleus, and paravermal cortex, and terminate mostly ipsilaterally. Paravermal crus I sends the most connections to the VTA compared to other lobules. We discovered a medial-to-lateral gradient of connectivity, such that the medial cerebellum has the highest connectivity with the VTA. Individual differences in microstructure were associated with measures of negative affect and social functioning. By splitting the tracts into quarters, we found that the socio-affective effects were driven by the third quarter of the tract, corresponding to the point at which the fibers leave the deep nuclei. Taken together, we produced detailed maps of cerebello-VTA structural connectivity for the first time in humans and established their relevance for trait differences in socio-affective regulation.
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Affiliation(s)
- Linda J. Hoffman
- Temple University, Department of Psychology and Neuroscience, Philadelphia, PA, USA
| | - Julia M. Foley
- Temple University, Department of Psychology and Neuroscience, Philadelphia, PA, USA
| | - Josiah K. Leong
- University of Arkansas, Department of Psychological Science, Fayetteville, AR, USA
| | - Holly Sullivan-Toole
- Temple University, Department of Psychology and Neuroscience, Philadelphia, PA, USA
| | - Blake L. Elliott
- Temple University, Department of Psychology and Neuroscience, Philadelphia, PA, USA
| | - Ingrid R. Olson
- Temple University, Department of Psychology and Neuroscience, Philadelphia, PA, USA
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Collins M, Bartholomeusz C, Mei C, Kerr M, Spark J, Wallis N, Polari A, Baird S, Buccilli K, Dempsey SJA, Ferguson N, Formica M, Krcmar M, Quinn AL, Wannan C, Oldham S, Fornito A, Mebrahtu Y, Ruslins A, Street R, Loschiavo K, McGorry PD, Nelson B, Amminger GP. Erythrocyte membrane fatty acid concentrations and myelin integrity in young people at ultra-high risk of psychosis. Psychiatry Res 2024; 337:115966. [PMID: 38810536 DOI: 10.1016/j.psychres.2024.115966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/09/2024] [Accepted: 05/13/2024] [Indexed: 05/31/2024]
Abstract
Decreased white matter (WM) integrity and disturbance in fatty acid composition have been reported in individuals at ultra-high risk of psychosis (UHR). The current study is the first to investigate both WM integrity and erythrocyte membrane polyunsaturated fatty acid (PUFA) levels as potential risk biomarkers for persistent UHR status, and global functioning in UHR individuals. Forty UHR individuals were analysed at baseline for erythrocyte membrane PUFA concentrates. Tract-based spatial statistics (TBSS) was used to analyse fractional anisotropy (FA) and diffusivity measures. Measures of global functioning and psychiatric symptoms were evaluated at baseline and at 12-months. Fatty acids and WM indices did not predict functional outcomes at baseline or 12-months. Significant differences were found in FA between UHR remitters and non-remitters (individuals who no longer met UHR criteria versus those who continued to meet criteria at 12-months). Docosahexaenoic acid (DHA) was found to be a significant predictor of UHR status at 12-months, as was the interaction between the sum of ώ-3 and whole brain FA, and the interaction between the right anterior limb of the internal capsule and the sum of ώ-3. The results confirm that certain fatty acids have a unique relationship with WM integrity in UHR individuals.
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Affiliation(s)
- Melissa Collins
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia.
| | - Cali Bartholomeusz
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Cristina Mei
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Melissa Kerr
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Jessica Spark
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Nicky Wallis
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Andrea Polari
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Shelley Baird
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Kate Buccilli
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Sarah-Jane A Dempsey
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Natalie Ferguson
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Melanie Formica
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Marija Krcmar
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Amelia L Quinn
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Cassandra Wannan
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Stuart Oldham
- Monash Data Futures Institute, Monash University, Clayton, Australia
| | - Alex Fornito
- Monash Data Futures Institute, Monash University, Clayton, Australia
| | - Yohannes Mebrahtu
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Arlan Ruslins
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Rebekah Street
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | | | - Patrick D McGorry
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Barnaby Nelson
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - G Paul Amminger
- Orygen, 35 Poplar Road, Melbourne, VIC 3052, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
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Thao PN, Nishijo M, Tai PT, Nghi TN, Yokawa T, Hoa VT, Tien TV, Kien NX, Anh TH, Nishino Y, Nishijo H. Impacts of dioxin exposure on brain connectivity estimated by DTI analysis of MRI images in men residing in contaminated areas of Vietnam. Front Neurosci 2024; 18:1344653. [PMID: 38726030 PMCID: PMC11079160 DOI: 10.3389/fnins.2024.1344653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
Introduction Effects of dioxin exposure on gray matter volume have been reported in previous studies, but a few studies reported effects of dioxin exposure on white matter structure. Therefore, this study was undertaken to investigate the impact of dioxin exposure on white matter microstructure in men living in the most severely dioxin-contaminated areas in Vietnam. Methods In 2019 brain MRI scans from 28 men living near Bien Hoa airbase were obtained at Dong Nai General Hospital, Vietnam, on a 3 T scanner using a conventional diffusion tensor imaging sequence. Two exposure markers were indicated by perinatal exposure estimated by assessment of maternal residency in a dioxin-contaminated area during pregnancy and by measurement of blood dioxin levels. A general linear model was used to compare fractional anisotropy (FA) values in 11 white matter tracts in both hemispheres between groups with and without perinatal dioxin exposure and groups with high and low blood dioxin levels after adjusting for covariates. Results The adjusted mean FA value in the left cingulum hippocampal part (CGH) was significantly lower in the perinatal dioxin exposure group compared with the group without perinatal dioxin exposure. The high blood TCDD group showed significantly reduced FA values in the left and right CGH and right uncinate fasciculus (UNC). Moreover, the high blood TEQ-PCDDs group showed significantly lower FA values in the left and right CGH and the left UNC. There were no significant differences in FA values between the groups with high and low TEQ-PCDFs levels or between the groups with high and low TEQ-PCDD/Fs levels. Discussion It was concluded that dioxin exposure during the perinatal period and adulthood may alter the microstructure of white matter tracts in individuals with neurodevelopmental disorders.
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Affiliation(s)
- Pham Ngoc Thao
- Department of Functional Diagnosis, Military Hospital 103, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Muneko Nishijo
- Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, Japan
| | - Pham The Tai
- Institute of Biomedicine and Pharmacy, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Tran Ngoc Nghi
- Ministry of Health, Vietnamese Government, Hanoi, Vietnam
| | | | - Vu Thi Hoa
- Institute of Biomedicine and Pharmacy, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Tran Viet Tien
- Department of Infectious and Tropical Diseases, Military Hospital 103, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Nguyen Xuan Kien
- Department of Military Medical Command and Organization, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Tran Hai Anh
- Department of Physiology, Vietnam Military Medical University, Ha Noi, Vietnam
| | - Yoshikazu Nishino
- Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, Japan
| | - Hisao Nishijo
- Department of Sport and Health Sciences, Faculty of Human Sciences, University of East Asia, Yamaguchi, Japan
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Huddleston HG, Jaswa EG, Casaletto KB, Neuhaus J, Kim C, Wellons M, Launer LJ, Yaffe K. Associations of Polycystic Ovary Syndrome With Indicators of Brain Health at Midlife in the CARDIA Cohort. Neurology 2024; 102:e208104. [PMID: 38295344 DOI: 10.1212/wnl.0000000000208104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/11/2023] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Polycystic ovary syndrome (PCOS) is a common reproductive disorder associated with an adverse cardiometabolic profile early in life. Increasing evidence links cardiovascular risk factors, such as diabetes and hypertension, to accelerated cognitive aging. However, less is known about PCOS and its relationship to brain health, particularly at midlife. Our goal was to investigate possible associations between PCOS and midlife cognitive function and brain MRI findings in an ongoing prospective study. METHODS We used data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a geographically diverse prospective cohort study of individuals who were 18-30 years at baseline (1985-1986) and followed for 30 years. We identified women with PCOS from an ancillary study (CARDIA Women's study (CWS); n = 1,163) as those with elevated androgen levels and/or hirsutism in conjunction with symptoms of oligomenorrhea. At year 30, participants completed cognitive testing, including the Montreal Cognitive Assessment, Rey Auditory Verbal Learning Test (RAVLT) (verbal learning and memory), Digit Symbol Substitution Test (processing speed and executive function), Stroop test (attention and cognitive control), and category and letter fluency tests (semantics and attention). A subset completed brain MRI to assess brain structure and white matter integrity. Multivariable linear regression models estimated the association between PCOS and outcomes, adjusting for age, race, education, and study center. RESULTS Of the 1163 women in CWS, 907 completed cognitive testing, and of these, 66 (7.1%) met criteria for PCOS (age 54.7 years). Women with and without PCOS were similar for age, BMI, smoking/drinking status, and income. At year 30, participants with PCOS performed lower (mean z score; 95% CI) on Stroop (-0.323 (-0.69 to -7.37); p = 0.008), RAVLT (-0.254 (-0.473 to -0.034); p = 0.002), and category fluency (-0.267 (-0.480 to -0.040); p = 0.02) tests. Of the 291 participants with MRI, 25 (8.5%) met PCOS criteria and demonstrated lower total white matter fractional anisotropy, a measure of white matter integrity (coefficient (95% CI) -0.013 (-0.021 to -0.005); p = 0.002), though not abnormal white matter. DISCUSSION Our results suggest that women with PCOS have lower cognitive performance and lower white matter integrity at midlife. Additional research is needed to confirm these findings and to determine potential mechanistic pathways including potential modifiable factors.
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Affiliation(s)
- Heather G Huddleston
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
| | - Eleni G Jaswa
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
| | - Kaitlin B Casaletto
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
| | - John Neuhaus
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
| | - Catherine Kim
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
| | - Melissa Wellons
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
| | - Lenore J Launer
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
| | - Kristine Yaffe
- From the Department of Obstetrics, Gynecology and Reproductive Sciences (H.G.H., E.G.J.), Memory and Aging Center (K.B.C.), and Departments of Epidemiology and Biostatistics (J.N.) and Psychiatry (K.Y.), University of California, San Francisco; Department of Medicine (C.K.), University of Michigan, Ann Arbor; Department of Medicine (M.W.), Vanderbilt University, Nashville, TN; and Laboratory of Epidemiology and Population Sciences (L.J.L.), Intramural Research Program, National Institute on Aging, Gaithersburg, MD
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Maillard AM, Romascano D, Villalón-Reina JE, Moreau CA, Almeida Osório JM, Richetin S, Junod V, Yu P, Misic B, Thompson PM, Fornari E, Gygax MJ, Jacquemont S, Chabane N, Rodríguez-Herreros B. Pervasive alterations of intra-axonal volume and network organization in young children with a 16p11.2 deletion. Transl Psychiatry 2024; 14:95. [PMID: 38355713 PMCID: PMC10866898 DOI: 10.1038/s41398-024-02810-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 12/04/2023] [Accepted: 01/29/2024] [Indexed: 02/16/2024] Open
Abstract
Reciprocal Copy Number Variants (CNVs) at the 16p11.2 locus confer high risk for autism spectrum disorder (ASD) and other neurodevelopmental disorders (NDDs). Morphometric MRI studies have revealed large and pervasive volumetric alterations in carriers of a 16p11.2 deletion. However, the specific neuroanatomical mechanisms underlying such alterations, as well as their developmental trajectory, are still poorly understood. Here we explored differences in microstructural brain connectivity between 24 children carrying a 16p11.2 deletion and 66 typically developing (TD) children between 2 and 8 years of age. We found a large pervasive increase of intra-axonal volume widespread over a high number of white matter tracts. Such microstructural alterations in 16p11.2 deletion children were already present at an early age, and led to significant changes in the global efficiency and integration of brain networks mainly associated to language, motricity and socio-emotional behavior, although the widespread pattern made it unlikely to represent direct functional correlates. Our results shed light on the neuroanatomical basis of the previously reported increase of white matter volume, and align well with analogous evidence of altered axonal diameter and synaptic function in 16p11.2 mice models. We provide evidence of a prevalent mechanistic deviation from typical maturation of brain structural connectivity associated with a specific biological risk to develop ASD. Future work is warranted to determine how this deviation contributes to the emergence of symptoms observed in young children diagnosed with ASD and other NDDs.
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Affiliation(s)
- Anne M Maillard
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - David Romascano
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Julio E Villalón-Reina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California (USC), Marina del Rey, CA, USA
| | - Clara A Moreau
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California (USC), Marina del Rey, CA, USA
| | - Joana M Almeida Osório
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Sonia Richetin
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Vincent Junod
- Unité de Neurologie et neuroréhabilitation pédiatrique, Département femme-mère-enfant, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Paola Yu
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Bratislav Misic
- Department of Neurology and Neurosurgery, Montréal Neurological Institute, Montréal, QC, H3A 2B4, Canada
- McConnell Brain Imaging Center, McGill University, Montréal, QC, H3A 2B4, Canada
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California (USC), Marina del Rey, CA, USA
| | - Eleonora Fornari
- Biomedical Imaging Center (CIBM), Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Marine Jequier Gygax
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Sébastien Jacquemont
- Sainte Justine Hospital Research Center, Montréal, QC, Canada
- Department of Pediatrics, University of Montréal, Montreal, QC, Canada
| | - Nadia Chabane
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Borja Rodríguez-Herreros
- Service des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
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9
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Caruana GF, Carruthers SP, Berk M, Rossell SL, Van Rheenen TE. To what extent does white matter map to cognition in bipolar disorder? A systematic review of the evidence. Prog Neuropsychopharmacol Biol Psychiatry 2024; 128:110868. [PMID: 37797735 DOI: 10.1016/j.pnpbp.2023.110868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/19/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Cognitive impairment is a prominent feature of bipolar disorder (BD), however the neural substrates underpinning it remain unclear. Several studies have explored white matter as a correlate of cognitive functioning in BD cohorts, but mixed results and varied methodologies from one to another make inferences about this relationship difficult to draw. Here we sought to systematically synthesise the findings of these studies to more clearly explicate the nature and extent of relationships between white matter and cognition in BD and determine best practice methodologies and areas for future research in this area. Using PRISMA guidelines, we identified and systematically reviewed 37 relevant studies, all of which were cross-sectional by design. There was substantial methodological heterogeneity and variability in the clinical presentations of BD cohorts encapsulated within the studies we reviewed, which complicated our synthesis of the findings. Nonetheless, there was some evidence that cognition is related to both white matter macrostructure and microstructure in people with BD. In particular, multiple microstructural studies consistently reported that higher fractional anisotropy, both globally and in the corpus callosum, associated with better complex attention skills and executive functioning. However, several reports did not identify any associations at all, and in general, associations between WM and cognition tended to only be evident in studies utilising larger samples and post-hoc selection of WM regions of interest. Further research with increased statistical power and standardised methods are required moving forward.
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Affiliation(s)
- Georgia F Caruana
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia
| | - Sean P Carruthers
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia; Centre for Youth Mental Health and Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Victoria 3052, Australia; Barwon Health, University Hospital Geelong, Victoria 3220, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Victoria 3052, Australia
| | - Susan L Rossell
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; St Vincent's Mental Health, St Vincent's Hospital, VIC, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia; Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia.
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10
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Blöchl M, Schaare HL, Kumral D, Gaebler M, Nestler S, Villringer A. Vascular risk factors, white matter microstructure, and depressive symptoms: a longitudinal analysis in the UK Biobank. Psychol Med 2024; 54:125-135. [PMID: 37016768 DOI: 10.1017/s0033291723000697] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
BACKGROUND Cumulative burden from vascular risk factors (VRFs) has been associated with an increased risk of depressive symptoms in mid- and later life. It has been hypothesised that this association arises because VRFs disconnect fronto-subcortical white matter tracts involved in mood regulation, which puts older adults at higher risk of developing depressive symptoms. However, evidence for the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms from longitudinal studies is scarce. METHODS This preregistered study analysed longitudinal data from 6,964 middle-aged and older adults from the UK Biobank who participated in consecutive assessments of VRFs, brain imaging, and depressive symptoms. Using mediation modelling, we directly tested to what extend white matter microstructure mediates the longitudinal association between VRF burden and depressive symptoms. RESULTS VRF burden showed a small association with depressive symptoms at follow-up. However, there was no evidence that fractional anisotropy (FA) of white matter tracts mediated this association. Additional analyses also yielded no mediating effects using alternative operationalisations of VRF burden, mean diffusivity (MD) of single tracts, or overall average of tract-based white matter microstructure (global FA, global MD, white matter hyperintensity volume). CONCLUSIONS Our results lend no support to the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms, while highlighting the relevance of using longitudinal data to directly test pathways linking vascular and mental health.
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Affiliation(s)
- Maria Blöchl
- Department for Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- International Max Planck Research School: Neuroscience of Communication: Structure, Function, and Plasticity, Leipzig, Germany
- Department of Psychology, University of Münster, Münster, Germany
| | - H Lina Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich, Germany
| | - Deniz Kumral
- Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg, Germany
- Clinical Psychology and Psychotherapy Unit, Institute of Psychology, University of Freiburg, Freiburg, Germany
| | - Michael Gaebler
- Department for Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin School of Mind and Brain, MindBrainBody Institute
- Max Planck Dahlem Campus of Cognition, Berlin, Germany
| | - Steffen Nestler
- Department of Psychology, University of Münster, Münster, Germany
| | - Arno Villringer
- Department for Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University Clinic Leipzig, Leipzig, Germany
- Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
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11
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Joechner AK, Hahn MA, Gruber G, Hoedlmoser K, Werkle-Bergner M. Sleep spindle maturity promotes slow oscillation-spindle coupling across child and adolescent development. eLife 2023; 12:e83565. [PMID: 37999945 PMCID: PMC10672804 DOI: 10.7554/elife.83565] [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: 09/19/2022] [Accepted: 10/18/2023] [Indexed: 11/25/2023] Open
Abstract
The synchronization of canonical fast sleep spindle activity (12.5-16 Hz, adult-like) precisely during the slow oscillation (0.5-1 Hz) up peak is considered an essential feature of adult non-rapid eye movement sleep. However, there is little knowledge on how this well-known coalescence between slow oscillations and sleep spindles develops. Leveraging individualized detection of single events, we first provide a detailed cross-sectional characterization of age-specific patterns of slow and fast sleep spindles, slow oscillations, and their coupling in children and adolescents aged 5-6, 8-11, and 14-18 years, and an adult sample of 20- to 26-year-olds. Critically, based on this, we then investigated how spindle and slow oscillation maturity substantiate age-related differences in their precise orchestration. While the predominant type of fast spindles was development-specific in that it was still nested in a frequency range below the canonical fast spindle range for the majority of children, the well-known slow oscillation-spindle coupling pattern was evident for sleep spindles in the adult-like canonical fast spindle range in all four age groups-but notably less precise in children. To corroborate these findings, we linked personalized measures of fast spindle maturity, which indicate the similarity between the prevailing development-specific and adult-like canonical fast spindles, and slow oscillation maturity, which reflects the extent to which slow oscillations show frontal dominance, with individual slow oscillation-spindle coupling patterns. Importantly, we found that fast spindle maturity was uniquely associated with enhanced slow oscillation-spindle coupling strength and temporal precision across the four age groups. Taken together, our results suggest that the increasing ability to generate adult-like canonical fast sleep spindles actuates precise slow oscillation-spindle coupling patterns from childhood through adolescence and into young adulthood.
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Affiliation(s)
- Ann-Kathrin Joechner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Michael A Hahn
- Department of Psychology, Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Salzburg, Austria
- Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, Salzburg, Austria
- Hertie-Institute for Clinical Brain Research, University Medical Center Tuebingen, Tuebingen, Germany
| | - Georg Gruber
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- The Siesta Group, Vienna, Austria
| | - Kerstin Hoedlmoser
- Department of Psychology, Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Salzburg, Austria
- Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, Salzburg, Austria
| | - Markus Werkle-Bergner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
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12
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Minosse S, Picchi E, Conti A, di Giuliano F, di Ciò F, Sarmati L, Teti E, de Santis S, Andreoni M, Floris R, Guerrisi M, Garaci F, Toschi N. Multishell diffusion MRI reveals whole-brain white matter changes in HIV. Hum Brain Mapp 2023; 44:5113-5124. [PMID: 37647214 PMCID: PMC10502617 DOI: 10.1002/hbm.26448] [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: 11/26/2022] [Revised: 07/15/2023] [Accepted: 07/26/2023] [Indexed: 09/01/2023] Open
Abstract
Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) have been previously used to explore white matter related to human immunodeficiency virus (HIV) infection. While DTI and DKI suffer from low specificity, the Combined Hindered and Restricted Model of Diffusion (CHARMED) provides additional microstructural specificity. We used these three models to evaluate microstructural differences between 35 HIV-positive patients without neurological impairment and 20 healthy controls who underwent diffusion-weighted imaging using three b-values. While significant group effects were found in all diffusion metrics, CHARMED and DKI analyses uncovered wider involvement (80% vs. 20%) of all white matter tracts in HIV infection compared with DTI. In restricted fraction (FR) analysis, we found significant differences in the left corticospinal tract, middle cerebellar peduncle, right inferior cerebellar peduncle, right corticospinal tract, splenium of the corpus callosum, left superior cerebellar peduncle, left superior cerebellar peduncle, pontine crossing tract, left posterior limb of the internal capsule, and left/right medial lemniscus. These are involved in language, motor, equilibrium, behavior, and proprioception, supporting the functional integration that is frequently impaired in HIV-positivity. Additionally, we employed a machine learning algorithm (XGBoost) to discriminate HIV-positive patients from healthy controls using DTI and CHARMED metrics on an ROIwise basis, and unique contributions to this discrimination were examined using Shapley Explanation values. The CHARMED and DKI estimates produced the best performance. Our results suggest that biophysical multishell imaging, combining additional sensitivity and built-in specificity, provides further information about the brain microstructural changes in multimodal areas involved in attentive, emotional and memory networks often impaired in HIV patients.
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Affiliation(s)
- Silvia Minosse
- Diagnostic Imaging UnitUniversity Hospital Rome Tor VergataRomeItaly
| | - Eliseo Picchi
- Diagnostic Imaging UnitUniversity Hospital Rome Tor VergataRomeItaly
- Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
| | - Allegra Conti
- Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
| | - Francesca di Giuliano
- Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
- Neuroradiology UnitUniversity Hospital of Rome Tor VergataRomeItaly
| | - Francesco di Ciò
- Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
| | - Loredana Sarmati
- Clinical Infectious Diseases UnitUniversity Hospital of Rome Tor VergataRomeItaly
- Department of Systems MedicineUniversity of Rome Tor VergataRomeItaly
| | - Elisabetta Teti
- Clinical Infectious Diseases UnitUniversity Hospital of Rome Tor VergataRomeItaly
| | - Silvia de Santis
- Instituto de NeurocienciasConsejo Superior de Investigaciones Científicas and Universidad Miguel HernándezSant Joan d'AlacantSpain
| | - Massimo Andreoni
- Clinical Infectious Diseases UnitUniversity Hospital of Rome Tor VergataRomeItaly
- Department of Systems MedicineUniversity of Rome Tor VergataRomeItaly
| | - Roberto Floris
- Diagnostic Imaging UnitUniversity Hospital Rome Tor VergataRomeItaly
- Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
| | - Maria Guerrisi
- Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
| | - Francesco Garaci
- Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
- Neuroradiology UnitUniversity Hospital of Rome Tor VergataRomeItaly
- IRCSS San Raffaele CassinoFrosinoneItaly
| | - Nicola Toschi
- Neuroradiology UnitUniversity Hospital of Rome Tor VergataRomeItaly
- Athinoula A. Martinos Center for Biomedical ImagingHarvard Medical SchoolBostonMassachusettsUSA
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13
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Singh A, Jain G, Sharma V, Singh S. Preoperative Diffusion Tensor Imaging in Supratentorial Intra-Axial Brain Tumors: Its Role in Predicting Tumor Histology and Prognosis as well in Surgical Planning and Resection. Asian J Neurosurg 2023; 18:476-483. [PMID: 38152530 PMCID: PMC10749847 DOI: 10.1055/s-0043-1772758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023] Open
Abstract
Objective There are a large number of prospective studies that use diffusion tensor imaging (DTI) to show the relationship between intracranial tumors and white matter (WM) fibers. We studied the role of DTI in supratentorial intra-axial (ST-IA) tumors of the brain in deciding the surgical approach with maximal resection and minimal or no deficit and in predicting the histological characterization of the tumor and the neurological outcome. Methods A total of 91 cases of ST-IA tumors were included in our study. The neurological status of the patients was assessed preoperatively, and the tumor volume and DTI pattern were noted radiologically. Surgical plan was decided by the senior consultants of the neurosurgery department taking into consideration the findings of tractography and magnetic resonance imaging. The neurological status and the extent of resection were evaluated postoperatively, and the correlation between histopathology with DTI was studied. Results Of the 91 patients, 25 had high-grade glioma (HGG), 60 had low-grade glioma (LGG), and 6 were metastatic lesions. Gross total excisions were done mostly in patients with DTI showing displaced fibers and subtotal/partial resections were done mostly in disrupted/infiltrated tracts, which was statistically significant. The correlation between histopathology and tractography revealed that intact/displaced tracts were seen mostly in LGG (79%), whereas 86% of HGG showed disrupted/infiltrated fibers; both were statistically significant. Conclusion Preoperative DTI in ST-IA brain tumors is an important tool for deciding the appropriate surgical approach for maximal safe resection, thus improving the post-op neurological outcome in patients. It also helps in predicting the tumor histology while also serving as an important prognostication indicator.
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Affiliation(s)
- Ajay Singh
- Department of Neurosurgery, SMS Medical College and Hospital, Jaipur, Rajasthan, India
| | - Gaurav Jain
- Department of Neurosurgery, SMS Medical College and Hospital, Jaipur, Rajasthan, India
| | - Vinod Sharma
- Department of Neurosurgery, SMS Medical College and Hospital, Jaipur, Rajasthan, India
| | - Shaveta Singh
- Department of Neurosurgery, SMS Medical College and Hospital, Jaipur, Rajasthan, India
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14
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Yang AHX, Kasabov NK, Cakmak YO. Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability. Brain Inform 2023; 10:15. [PMID: 37438494 DOI: 10.1186/s40708-023-00192-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/06/2023] [Indexed: 07/14/2023] Open
Abstract
Virtual Reality (VR) allows users to interact with 3D immersive environments and has the potential to be a key technology across many domain applications, including access to a future metaverse. Yet, consumer adoption of VR technology is limited by cybersickness (CS)-a debilitating sensation accompanied by a cluster of symptoms, including nausea, oculomotor issues and dizziness. A leading problem is the lack of automated objective tools to predict or detect CS in individuals, which can then be used for resistance training, timely warning systems or clinical intervention. This paper explores the spatiotemporal brain dynamics and heart rate variability involved in cybersickness and uses this information to both predict and detect CS episodes. The present study applies deep learning of EEG in a spiking neural network (SNN) architecture to predict CS prior to using VR (85.9%, F7) and detect it (76.6%, FP1, Cz). ECG-derived sympathetic heart rate variability (HRV) parameters can be used for both prediction (74.2%) and detection (72.6%) but at a lower accuracy than EEG. Multimodal data fusion of EEG and sympathetic HRV does not change this accuracy compared to ECG alone. The study found that Cz (premotor and supplementary motor cortex) and O2 (primary visual cortex) are key hubs in functionally connected networks associated with both CS events and susceptibility to CS. F7 is also suggested as a key area involved in integrating information and implementing responses to incongruent environments that induce cybersickness. Consequently, Cz, O2 and F7 are presented here as promising targets for intervention.
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Affiliation(s)
| | - Nikola Kirilov Kasabov
- School of Engineering, Computing and Mathematical Sciences, Auckland University of Technology, St Paul street, AUT, Auckland, 1010, New Zealand
- George Moore Chair of Data Analytics, Ulster University, Londonderry, UK
- Institute for Information & Communication Technologies, Bulgarian Academy of Sciences, ul. Acad Bonchev, 2, Sofia, 1113, Bulgaria
| | - Yusuf Ozgur Cakmak
- Cakmak Lab, Department of Anatomy, University of Otago, Dunedin, New Zealand.
- Medtech Core NZ, Auckland, New Zealand.
- Brain Health Research Centre, Dunedin, New Zealand.
- Centre for Health Systems and Technology, Dunedin, New Zealand.
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15
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Koten JW, Koschutnig K, Wood G. An attempt to model the causal structure behind white matter aging and cognitive decline. Sci Rep 2023; 13:10883. [PMID: 37407647 DOI: 10.1038/s41598-023-37925-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/29/2023] [Indexed: 07/07/2023] Open
Abstract
In this diffusion tension imaging study, voxel wise structural equation modeling was used to unravel the relation between white matter, cognition, and age. Four neurocognitive ageing models describing the interplay between age, white matter integrity, and cognition were investigated but only two models survived an Akaike information criterion-based model selection procedure. The independent factor model predicts that there is no relation between white matter integrity and cognition although both systems are affected by age. The cognitive mediation model predicts that the relation between age and white matter integrity is mediated through cognition. Roughly 60% of the observed voxels were in agreement with the independent factor model while 16% of the observed voxels were in agreement with the cognitive mediation model. Imaging results of the latter model suggest that the deterioration of fibers-that connect the two hemispheres with each other-is partly caused by an age-related decline in cognitive functioning.
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Affiliation(s)
- Jan Willem Koten
- Brain Imaging Facility of the Interdisciplinary Centre for Clinical Research of the University Hospital Rheinisch-Westfälische Technische Hochschule (RWTH), 52074, Aachen, Germany.
- Department of Psychology, Karl-Franzens-University of Graz, 8010, Graz, Austria.
| | - Karl Koschutnig
- Department of Psychology, Karl-Franzens-University of Graz, 8010, Graz, Austria
- Biotechmed Graz, 8010, Graz, Austria
| | - Guilherme Wood
- Department of Psychology, Karl-Franzens-University of Graz, 8010, Graz, Austria
- COLIBRI Graz, 8010, Graz, Austria
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16
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Mei Y, Wang W, Qiu D, Yuan Z, Bai X, Tang H, Zhang P, Zhang X, Zhang Y, Yu X, Sui B, Wang Y. Micro-structural white matter abnormalities in new daily persistent headache: a DTI study using TBSS analysis. J Headache Pain 2023; 24:80. [PMID: 37394419 DOI: 10.1186/s10194-023-01620-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 06/21/2023] [Indexed: 07/04/2023] Open
Abstract
BACKGROUND New daily persistent headache (NDPH) is a rare primary headache disorder characterized by daily and persistent sudden onset headaches. The pathogenesis of NDPH remains unclear, and there are few white matter imaging studies related to NDPH. The purpose of this study was to investigate the micro-structural abnormalities of white matter in NDPH and provided insights into the pathogenesis of this disease based on tract-based spatial statistics (TBSS). METHODS Twenty-one patients with NDPH and 25 healthy controls (HCs) were included in this study. T1 structural and diffusion magnetic resonance imaging (MRI) were acquired from all participants. Differences in the fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) between patients with NDPH and HCs were investigated using TBSS analysis. RESULTS Significantly decreased FA, increased MD and RD were found in patients with NDPH compared to HCs. White matter regions overlaid with decreased FA, increased MD and RD were found in 16 white matter tracts from the Johns Hopkins University ICBM-DTI-81 White-Matter Atlas and Johns Hopkins University White-Matter Tractography Atlas. Specifically, these white matter regions included the right anterior thalamic radiation (ATR), body of the corpus callosum (BCC), bilateral cingulum, left hippocampal cingulum (CGH), left corticospinal tract (CST), forceps major, fornix, left inferior fronto-occipital fasciculus (IFOF), bilateral inferior longitudinal fasciculus (ILF), left posterior limb of the internal capsule (PLIC), right retrolenticular part of the internal capsule (RPIC), splenium of the corpus callosum (SCC), right superior longitudinal fasciculus (SLF) and left uncinate fasciculus (UF). After Bonferroni correction, there were no correlations between the FA, MD, AD and RD values and the clinical characteristics of patients with NDPH (p > 0.05/96). CONCLUSION The results of our research indicated that patients with NDPH might have widespread abnormalities in the white matter of the brain.
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Affiliation(s)
- Yanliang Mei
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Wei Wang
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Dong Qiu
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Ziyu Yuan
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Xiaoyan Bai
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, Neurosurgical Institute, Beijing, China
| | - Hefei Tang
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Peng Zhang
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Xue Zhang
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, Neurosurgical Institute, Beijing, China
| | - Yaqing Zhang
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Xueying Yu
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Binbin Sui
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
| | - Yonggang Wang
- Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
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Mishra SS, Gandhi TK, Biswal BB. Structural Connectomes of COVID-Survivors Show Disruption in Global Integration and Small-Worldness. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38082828 DOI: 10.1109/embc40787.2023.10340776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Even after recovery from the COVID-19 infection, there have been a multitude of cases reporting post-COVID neurological symptoms including memory loss, brain fog, and attention deficit. Many studies have observed localized microstructural damages in the white matter regions of COVID survivors, indicating potential damage to the axonal pathways in the brain. Therefore, in this study, we have investigated the global impact of localized damage to white matter tracts using graph theoretical analysis of the structural connectome of 45 COVID-recovered subjects and 30 Healthy Controls (HCs). We have implemented Diffusion Tensor Imaging based reconstruction followed by deterministic tractography to extract structural connections among different regions of the brain. Interpreting this structural connectivity as weighted undirected graphs, we have used graph theoretical measures like global efficiency, characteristic path length (CPL), clustering coefficient (CC), modularity, Fiedler value, and assortativity coefficient to quantify the global integration, segregation, and robustness of the brain networks. We statistically compare the cohorts based on these graph measures by employing permutation testing for 100,000 permutations. Post multiple comparisons error correction, we find that the COVID-recovered cohort shows a reduction in global efficiency and CC while they exhibit higher modularity and CPL. This disruption of the balance between global integration and segregation indicates the loss of small-world property in COVID survivors' connectomes which has been linked with other disorders such as cognitive impairment and Alzheimer's. Overall, our study sheds light on the alterations in structural connectivity and its role in post-COVID symptoms.
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Taraku B, Zavaliangos-Petropulu A, Loureiro JR, Al-Sharif NB, Kubicki A, Joshi SH, Woods RP, Espinoza R, Narr KL, Sahib AK. White matter microstructural perturbations after total sleep deprivation in depression. Front Psychiatry 2023; 14:1195763. [PMID: 37457774 PMCID: PMC10345348 DOI: 10.3389/fpsyt.2023.1195763] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 07/18/2023] Open
Abstract
Background Total sleep deprivation (TSD) transiently reverses depressive symptoms in a majority of patients with depression. How TSD modulates diffusion tensor imaging (DTI) measures of white matter (WM) microstructure, which may be linked with TSD's rapid antidepressant effects, remains uncharacterized. Methods Patients with depression (N = 48, mean age = 33, 26 women) completed diffusion-weighted imaging and Hamilton Depression Rating (HDRS) and rumination scales before and after >24 h of TSD. Healthy controls (HC) (N = 53, 23 women) completed the same assessments at baseline, and after receiving TSD in a subset of HCs (N = 15). Tract based spatial statistics (TBSS) investigated voxelwise changes in fractional anisotropy (FA) across major WM pathways pre-to-post TSD in patients and HCs and between patients and HCs at baseline. Post hoc analyses tested for TSD effects for other diffusion metrics, and the relationships between change in diffusion measures with change in mood and rumination symptoms. Results Significant improvements in mood and rumination occurred in patients with depression (both p < 0.001), but not in HCs following TSD. Patients showed significant (p < 0.05, corrected) decreases in FA values in multiple WM tracts, including the body of the corpus callosum and anterior corona radiata post-TSD. Significant voxel-level changes in FA were not observed in HCs who received TSD (p > 0.05). However, differential effects of TSD between HCs and patients were found in the superior corona radiata, frontal WM and the posterior thalamic radiation (p < 0.05, corrected). A significant (p < 0.05) association between change in FA and axial diffusivity within the right superior corona radiata and improvement in rumination was found post-TSD in patients. Conclusion Total sleep deprivation leads to rapid microstructural changes in WM pathways in patients with depression that are distinct from WM changes associated with TSD observed in HCs. WM tracts including the superior corona radiata and posterior thalamic radiation could be potential biomarkers of the rapid therapeutic effects of TSD. Changes in superior corona radiata FA, in particular, may relate to improvements in maladaptive rumination.
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Affiliation(s)
- Brandon Taraku
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Artemis Zavaliangos-Petropulu
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Joana R. Loureiro
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Noor B. Al-Sharif
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Antoni Kubicki
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Shantanu H. Joshi
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
| | - Roger P. Woods
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Katherine L. Narr
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Ashish K. Sahib
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States
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Surgent O, Guerrero-Gonzalez J, Dean DC, Kirk GR, Adluru N, Kecskemeti SR, Alexander AL, Travers BG. How we get a grip: Microstructural neural correlates of manual grip strength in children. Neuroimage 2023; 273:120117. [PMID: 37062373 PMCID: PMC10161685 DOI: 10.1016/j.neuroimage.2023.120117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 03/23/2023] [Accepted: 04/13/2023] [Indexed: 04/18/2023] Open
Abstract
Maximal grip strength is associated with a variety of health-related outcome measures and thus may be reflective of the efficiency of foundational brain-body communication. Non-human primate models of grip strength strongly implicate the cortical lateral grasping network, but little is known about the translatability of these models to human children. Further, it is unclear how supplementary networks that provide proprioceptive information and cerebellar-based motor command modification are associated with maximal grip strength. Therefore, this study employed high resolution, multi-shell diffusion and quantitative T1 imaging to examine how variations in lateral grasping, proprioception input, and cortico-cerebellar modification network white matter microstructure are associated with variations in grip strength across 70 children. Results indicated that stronger grip strength was associated with higher lateral grasping and proprioception input network fractional anisotropy and R1, indirect measures consistent with stronger microstructural coherence and increased myelination. No relationships were found in the cerebellar modification network. These results provide a neurobiological mechanism of grip behavior in children which suggests that increased myelination of cortical sensory and motor pathways is associated with stronger grip. This neurobiological mechanism may be a signature of pediatric neuro-motor behavior more broadly as evidenced by the previously demonstrated relationships between grip strength and behavioral outcome measures across a variety of clinical and non-clinical populations.
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Affiliation(s)
- Olivia Surgent
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States
| | - Jose Guerrero-Gonzalez
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States
| | - Gregory R Kirk
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | | | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - Brittany G Travers
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Occupational Therapy Program in the Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States.
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20
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Vandeloo KL, Burhunduli P, Bouix S, Owsia K, Cho KIK, Fang Z, Van Geel A, Pasternak O, Blier P, Phillips JL. Free-Water Diffusion Magnetic Resonance Imaging Differentiates Suicidal Ideation From Suicide Attempt in Treatment-Resistant Depression. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:471-481. [PMID: 36906445 DOI: 10.1016/j.bpsc.2022.12.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/21/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Suicide attempt is highly prevalent in treatment-resistant depression (TRD); however, the neurobiological profile of suicidal ideation versus suicide attempt is unclear. Neuroimaging methods including diffusion magnetic resonance imaging-based free-water imaging may identify neural correlates underlying suicidal ideation and attempts in individuals with TRD. METHODS Diffusion magnetic resonance imaging data were obtained from 64 male and female participants (mean age 44.5 ± 14.2 years), including 39 patients with TRD (n = 21 and lifetime history of suicidal ideation but no attempts [SI group]; n = 18 with lifetime history of suicide attempt [SA group]), and 25 age- and sex-matched healthy control participants. Depression and suicidal ideation severity were examined using clinician-rated and self-report measures. Whole-brain neuroimaging analysis was conducted using tract-based spatial statistics via FSL to identify differences in white matter microstructure in the SI versus SA groups and in patients versus control participants. RESULTS Free-water imaging revealed elevated axial diffusivity and extracellular free water in fronto-thalamo-limbic white matter tracts of the SA group compared with the SI group. In a separate comparison, patients with TRD had widespread reductions in fractional anisotropy and axial diffusivity, as well as elevated radial diffusivity compared with control participants (thresholded p < .05, familywise error corrected). CONCLUSIONS A unique neural signature consisting of elevated axial diffusivity and free water was identified in patients with TRD and suicide attempt history. Findings of reduced fractional anisotropy, axial diffusivity, and elevated radial diffusivity in patients versus control participants are consistent with previously published studies. Multimodal and prospective investigations are recommended to better understand biological correlates of suicide attempt in TRD.
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Affiliation(s)
- Katie L Vandeloo
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Patricia Burhunduli
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Sylvain Bouix
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kimia Owsia
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Zhuo Fang
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada
| | - Amanda Van Geel
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Pierre Blier
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada; Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
| | - Jennifer L Phillips
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada; Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada; Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.
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21
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Nartsissov YR. Application of a multicomponent model of convectional reaction-diffusion to description of glucose gradients in a neurovascular unit. Front Physiol 2022; 13:843473. [PMID: 36072843 PMCID: PMC9444140 DOI: 10.3389/fphys.2022.843473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 07/18/2022] [Indexed: 11/16/2022] Open
Abstract
A supply of glucose to a nervous tissue is fulfilled by a cerebrovascular network, and further diffusion is known to occur at both an arteriolar and a microvascular level. Despite a direct relation, a blood flow dynamic and reaction-diffusion of metabolites are usually considered separately in the mathematical models. In the present study they are coupled in a multiphysical approach which allows to evaluate the effects of capillary blood flow changes on near-vessels nutrient concentration gradients evidently. Cerebral blood flow (CBF) was described by the non-steady-state Navier-Stokes equations for a non-Newtonian fluid whose constitutive law is given by the Carreau model. A three-level organization of blood–brain barrier (BBB) is modelled by the flux dysconnectivity functions including densities and kinetic properties of glucose transporters. The velocity of a fluid flow in brain extracellular space (ECS) was estimated using Darcy’s law. The equations of reaction-diffusion with convection based on a generated flow field for continues and porous media were used to describe spatial-time gradients of glucose in the capillary lumen and brain parenchyma of a neurovascular unit (NVU), respectively. Changes in CBF were directly simulated using smoothing step-like functions altering the difference of intracapillary pressure in time. The changes of CBF cover both the decrease (on 70%) and the increase (on 50%) in a capillary flow velocity. Analyzing the dynamics of glucose gradients, it was shown that a rapid decrease of a capillary blood flow yields an enhanced level of glucose in a near-capillary nervous tissue if the contacts between astrocytes end-feet are not tight. Under the increased CBF velocities the amplitude of glucose concentration gradients is always enhanced. The introduced approach can be used for estimation of blood flow changes influence not only on glucose but also on other nutrients concentration gradients and for the modelling of distributions of their concentrations near blood vessels in other tissues as well.
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22
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Abraham M, Mundorf A, Brodmann K, Freund N. Unraveling the mystery of white matter in depression: A translational perspective on recent advances. Brain Behav 2022; 12:e2629. [PMID: 35652161 PMCID: PMC9304855 DOI: 10.1002/brb3.2629] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 04/15/2022] [Accepted: 04/23/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Numerous cortical and subcortical structures have been studied extensively concerning alterations of their integrity as well as their neurotransmitters in depression. However, connections between these structures have received considerably less attention. OBJECTIVE This systematic review presents results from recent neuroimaging as well as neuropathologic studies conducted on humans and other mammals. It aims to provide evidence for impaired white matter integrity in individuals expressing a depressive phenotype. METHODS A systematic database search in accordance with the PRISMA guidelines was conducted to identify imaging and postmortem studies conducted on humans with a diagnosis of major depressive disorder, as well as on rodents and primates subjected to an animal model of depression. RESULTS Alterations are especially apparent in frontal gyri, as well as in structures establishing interhemispheric connectivity between frontal regions. Translational neuropathological findings point to alterations in oligodendrocyte density and morphology, as well as to alterations in the expression of genes related to myelin synthesis. An important role of early life adversities in the development of depressive symptoms and white matter alterations across species is thereby revealed. Data indicating that stress can interfere with physiological myelination patterns is presented. Altered myelination is most notably present in regions that are subject to maturation during the developmental stage of exposure to adversities. CONCLUSION Translational studies point to replicable alterations in white matter integrity in subjects suffering from depression across multiple species. Impaired white matter integrity is apparent in imaging as well as neuropathological studies. Future studies should focus on determining to what extent influencing white matter integrity is able to improve symptoms of depression in animals as well as humans.
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Affiliation(s)
- Mate Abraham
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Annakarina Mundorf
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University Bochum, Bochum, Germany.,Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Katja Brodmann
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nadja Freund
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University Bochum, Bochum, Germany
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23
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Aili X, Wang W, Zhang A, Jiao Z, Li X, Rao B, Li R, Li H. Rich-Club Analysis of Structural Brain Network Alterations in HIV Positive Patients With Fully Suppressed Plasma Viral Loads. Front Neurol 2022; 13:825177. [PMID: 35812120 PMCID: PMC9263507 DOI: 10.3389/fneur.2022.825177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 05/23/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveEven with successful combination antiretroviral therapy (cART), patients with human immunodeficiency virus positive (HIV+) continue to present structural alterations and neuropsychological impairments. The purpose of this study is to investigate structural brain connectivity alterations and identify the hub regions in HIV+ patients with fully suppressed plasma viral loads.MethodsIn this study, we compared the brain structural connectivity in 48 patients with HIV+ treated with a combination of antiretroviral therapy and 48 healthy controls, using diffusion tensor imaging. Further comparisons were made in 24 patients with asymptomatic neurocognitive impairment (ANI) and 24 individuals with non-HIV-associated neurocognitive disorders forming a subset of HIV+ patients. The graph theory model was used to establish the topological metrics. Rich-club analysis was used to identify hub nodes across groups and abnormal rich-club connections. Correlations of connectivity metrics with cognitive performance and clinical variables were investigated as well.ResultsAt the regional level, HIV+ patients demonstrated lower degree centrality (DC), betweenness centrality (BC), and nodal efficiency (NE) at the occipital lobe and the limbic cortex; and increased BC and nodal cluster coefficient (NCC) in the occipital lobe, the frontal lobe, the insula, and the thalamus. The ANI group demonstrated a significant reduction in the DC, NCC, and NE in widespread brain regions encompassing the occipital lobe, the frontal lobe, the temporal pole, and the limbic system. These results did not survive the Bonferroni correction. HIV+ patients and the ANI group had similar hub nodes that were mainly located in the occipital lobe and subcortical regions. The abnormal connections were mainly located in the occipital lobe in the HIV+ group and in the parietal lobe in the ANI group. The BC in the calcarine fissure was positively correlated with complex motor skills. The disease course was negatively correlated with NE in the middle occipital gyrus.ConclusionThe results suggest that the occipital lobe and the subcortical regions may be important in structural connectivity alterations and cognitive impairment. Rich-club analysis may contribute to our understanding of the neuropathology of HIV-associated neurocognitive disorders.
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Affiliation(s)
- Xire Aili
- Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Aidong Zhang
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Zengxin Jiao
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xing Li
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Bo Rao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- Bo Rao
| | - Ruili Li
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Ruili Li
| | - Hongjun Li
- Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Hongjun Li
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Pérez-García JM, Suárez-Suárez S, Doallo S, Cadaveira F. Effects of binge drinking during adolescence and emerging adulthood on the brain: A systematic review of neuroimaging studies. Neurosci Biobehav Rev 2022; 137:104637. [PMID: 35339481 DOI: 10.1016/j.neubiorev.2022.104637] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 01/19/2022] [Accepted: 03/21/2022] [Indexed: 02/07/2023]
Abstract
Binge drinking (BD) is a common pattern of alcohol consumption which is generating great concern because of its deleterious consequences. We selected 33 neuroimaging studies of healthy young binge drinkers (BDs) by following PRISMA guidelines. This review provides a comprehensive overview of the relationship between BD and neurocognitive anomalies reported across magnetic resonance studies. Moreover, this work is the first in which results of relatively new imaging techniques, such as resting-state functional connectivity (RS-FC) and neurite orientation dispersion and density imaging (NODDI), have been reviewed using a systematic procedure. We established strict inclusion criteria in order to isolate the various potential effects of BD on the adolescent brain. Two authors independently evaluated the methodological quality, assessing different aspects related to sample size, and statistical correction methods, which are of particular importance in neuroimaging studies. BD is associated with structural and functional anomalies in several cortical and subcortical brain regions intimately involved in the control and regulation of impulsive or risky behaviours, as well as in the processing of reinforcing stimuli.
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Affiliation(s)
- Jose Manuel Pérez-García
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
| | - Samuel Suárez-Suárez
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
| | - Sonia Doallo
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
| | - Fernando Cadaveira
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
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25
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Bahsoun MA, Khan MU, Mitha S, Ghazvanchahi A, Khosravani H, Jabehdar Maralani P, Tardif JC, Moody AR, Tyrrell PN, Khademi A. FLAIR MRI biomarkers of the normal appearing brain matter are related to cognition. Neuroimage Clin 2022; 34:102955. [PMID: 35180579 PMCID: PMC8857609 DOI: 10.1016/j.nicl.2022.102955] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 01/28/2022] [Accepted: 02/01/2022] [Indexed: 01/04/2023]
Abstract
Normal appearing brain matter (NABM) biomarkers in FLAIR MRI are related to cognition. NABM texture in FLAIR MRI is correlated to mean diffusivity (MD) in dMRI. Analysis conducted on large multicentre FLAIR MRI dataset: 1400 subjects, 87 centers. NABM biomarkers vary differently across age and MoCA categories. Biomarkers showed differences in patients with AD dementia and vascular disease.
A novel biomarker panel was proposed to quantify macro and microstructural biomarkers from the normal-appearing brain matter (NABM) in multicentre fluid-attenuation inversion recovery (FLAIR) MRI. The NABM is composed of the white and gray matter regions of the brain, with the lesions and cerebrospinal fluid removed. The primary hypothesis was that NABM biomarkers from FLAIR MRI are related to cognitive outcome as determined by MoCA score. There were three groups of features designed for this task based on 1) texture: microstructural integrity (MII), macrostructural damage (MAD), microstructural damage (MID), 2) intensity: median, skewness, kurtosis and 3) volume: NABM to ICV volume ratio. Biomarkers were extracted from over 1400 imaging volumes from more than 87 centres and unadjusted ANOVA analysis revealed significant differences in means of the MII, MAD, and NABM volume biomarkers across all cognitive groups. In an adjusted ANCOVA model, a significant relationship between MoCA categories was found that was dependent on subject age for MII, MAD, intensity, kurtosis and NABM volume biomarkers. These results demonstrate that structural brain changes in the NABM are related to cognitive outcome (with different relationships depending on the age of the subjects). Therefore these biomarkers have high potential for clinical translation. As a secondary hypothesis, we investigated whether texture features from FLAIR MRI can quantify microstructural changes related to how “structured” or “damaged” the tissue is. Based on correlation analysis with diffusion weighted MRI (dMRI), it was shown that FLAIR MRI texture biomarkers (MII and MAD) had strong correlations to mean diffusivity (MD) which is related to tissue degeneration in the GM and WM regions. As FLAIR MRI is routinely collected for clinical neurological examinations, novel biomarkers from FLAIR MRI could be used to supplement current clinical biomarkers and for monitoring disease progression. Biomarkers could also be used to stratify patients into homogeneous disease subgroups for clinical trials, or to learn more about mechanistic development of dementia disease.
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Affiliation(s)
- M-A Bahsoun
- Electrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada
| | - M U Khan
- Electrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada
| | - S Mitha
- Electrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada
| | - A Ghazvanchahi
- Electrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada
| | - H Khosravani
- Hurvitz Brain Sciences Program Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - J-C Tardif
- Montreal Heart Institute, Montreal, QU, Canada; Department of Medicine, Université de Montréal, QU, Canada
| | - A R Moody
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - P N Tyrrell
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada; Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - A Khademi
- Electrical, Computer and Biomedical Engineering Dept., Ryerson University, Toronto, ON, Canada; Keenan Research Center for Biomedical Science, St. Michael's Hospital, Unity Health Network, Toronto, ON, Canada; Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between St. Michael's Hospital and Ryerson University, Toronto, ON, Canada
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26
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Hu Y, Jia Z, Zhang L, Zhang Z, Li H, Tan Z, Lv S, von Deneen KM, Duan S, Cui G, Nie Y, Zhang Y. White-matter microstructural alterations in patients with functional constipation: A tract-based spatial statistics study. Neurogastroenterol Motil 2022; 34:e14338. [PMID: 35195324 DOI: 10.1111/nmo.14338] [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: 12/03/2020] [Revised: 01/23/2022] [Accepted: 01/30/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Highly prevalent functional constipation (FC) belongs to the category of functional gastrointestinal disorders. Neuroimaging studies have demonstrated brain functional and morphometric changes in patients with FC. However, whether FC is associated with white-matter (WM) microstructural alterations remains unclear. METHODS Diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) were introduced to investigate WM microstructural changes as calculated by fractional anisotropy (FA), mean (MD), axial (AD), and radial diffusivity (RD) in 26 FC patients and 31 healthy controls. KEY RESULTS Patients with FC relative to healthy controls had significantly decreased FA with increased MD/RD in the genu (GCC) and body (BCC) of the corpus callosum, right cingulum (Cing), bilateral anterior corona radiata (ACR), bilateral superior corona radiata (SCR), and left posterior corona radiata (PCR) (pFWE < 0.05). Between-group difference was only in the left SCR and PCR when regressing out anxiety and depression as covariates. CONCLUSIONS AND INFERENCES These WM tracts are mainly responsible for sensory and emotional information communication and corresponding functional integration; thus, our findings indicate an association between FC and WM microstructural abnormalities in regions involved with visceral afferent and emotional-arousal processing. Alterations in WM microstructures including the CC, cingulum, and ACR are more related to psychological symptoms than constipation, which might have greater impact on brain structures.
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Affiliation(s)
- Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Zhenzhen Jia
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Lei Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Zhida Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Hao Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Zongxin Tan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Shuai Lv
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Shijun Duan
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China
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Sreenivasan V, Kumar S, Pestilli F, Talukdar P, Sridharan D. GPU-accelerated connectome discovery at scale. NATURE COMPUTATIONAL SCIENCE 2022; 2:298-306. [PMID: 38177824 PMCID: PMC10766542 DOI: 10.1038/s43588-022-00250-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 04/21/2022] [Indexed: 01/06/2024]
Abstract
Diffusion magnetic resonance imaging and tractography enable the estimation of anatomical connectivity in the human brain, in vivo. Yet, without ground-truth validation, different tractography algorithms can yield widely varying connectivity estimates. Although streamline pruning techniques mitigate this challenge, slow compute times preclude their use in big-data applications. We present 'Regularized, Accelerated, Linear Fascicle Evaluation' (ReAl-LiFE), a GPU-based implementation of a state-of-the-art streamline pruning algorithm (LiFE), which achieves >100× speedups over previous CPU-based implementations. Leveraging these speedups, we overcome key limitations with LiFE's algorithm to generate sparser and more accurate connectomes. We showcase ReAl-LiFE's ability to estimate connections with superlative test-retest reliability, while outperforming competing approaches. Moreover, we predicted inter-individual variations in multiple cognitive scores with ReAl-LiFE connectome features. We propose ReAl-LiFE as a timely tool, surpassing the state of the art, for accurate discovery of individualized brain connectomes at scale. Finally, our GPU-accelerated implementation of a popular non-negative least-squares optimization algorithm is widely applicable to many real-world problems.
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Affiliation(s)
| | - Sawan Kumar
- Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India
| | - Franco Pestilli
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - Partha Talukdar
- Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India
- Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India
| | - Devarajan Sridharan
- Centre for Neuroscience, Indian Institute of Science, Bangalore, India.
- Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India.
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28
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Guan Y, Ebrahimzadeh SA, Cheng CH, Chen W, Leung T, Bigornia S, Palacios N, Garelnabi MO, Scott T, Bhadelia R, Tucker KL, Koo BB. Association of Diabetes and Hypertension With Brain Structural Integrity and Cognition in the Boston Puerto Rican Health Study Cohort. Neurology 2022; 98:e1534-e1544. [PMID: 35354581 PMCID: PMC9012269 DOI: 10.1212/wnl.0000000000200120] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 01/11/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The Boston Puerto Rican Health Study (BPRHS) is a longitudinal study following self-identified Puerto Rican older adults living in the Greater Boston area. Studies have shown higher prevalence of hypertension (HTN) and type 2 diabetes (T2D) within this ethnic group compared to age-matched non-Hispanic White adults. In this study, we investigated the associations of HTN and T2D comorbidity on brain structural integrity and cognitive capacity in community-dwelling Puerto Rican adults and compared these measures with older adult participants (non-Hispanic White and Hispanic) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and National Alzheimer's Coordinating Center (NACC) databases. METHODS BPRHS participants who underwent brain MRI and cognitive testing were divided into 4 groups based on their HTN and T2D status: HTN-/T2D-, HTN+/T2D-, HTN-/T2D+, and HTN+/T2D+. We assessed microstructural integrity of white matter (WM) pathways using diffusion MRI, brain macrostructural integrity using hippocampal volumes, and brain age using T1-weighted MRI and cognitive test scores. BPRHS results were then compared with results from non-Hispanic White and Hispanic participants from the ADNI and NACC databases. RESULTS The prevalence of HTN was almost 2 times (66.7% vs 38.7%) and of T2D was 5 times (31.8% vs 6.6.%) higher in BPRHS than in ADNI non-Hispanic White participants. Diffusion MRI showed clear deterioration patterns in major WM tracts in the HTN+/T2D+ group and, to a lesser extent, in the HTN+/T2D- group compared to the HTN-/T2D- group. HTN+/T2D+ participants also had the smallest hippocampal volume and larger brain aging deviations. Trends toward lower executive function and global cognitive scores were observed in HTN+/T2D+ relative to HTN-/T2D- individuals. MRI measures and the Mini-Mental State Examination (MMSE) scores from the HTN+/T2D+ BPRHS group resembled those of ADNI White participants with progressive mild cognitive impairment (MCI), while the BPRHS HTN-/T2D- participants resembled participants with stable MCI. The BPRHS was not significantly different from the ADNI + NACC Hispanic cohort on imaging or MMSE measures. DISCUSSION The effects of T2D and HTN comorbidity led to greater brain structural disruptions than HTN alone. The high prevalence of HTN and T2D in the Puerto Rican population may be a key factor contributing to health disparities in cognitive impairment in this group compared to non-Hispanic White adults in the same age range. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov identifier: NCT01231958.
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Affiliation(s)
- Yi Guan
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Seyed Amir Ebrahimzadeh
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Chia-Hsin Cheng
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Weifan Chen
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Tiffany Leung
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Sherman Bigornia
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Natalia Palacios
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Mahdi O Garelnabi
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Tammy Scott
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Rafeeque Bhadelia
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Katherine L Tucker
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
| | - Bang-Bon Koo
- From the Department of Anatomy and Neurobiology (Y.G., C.-h.C., W.C., T.L., B.-B.K.), Boston University School of Medicine; Department of Radiology (S.A.E., R.B.), Neuroradiology Section, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Department of Agriculture, Nutrition, and Food Systems (S.B.), College of Life Sciences and Agriculture, University of New Hampshire, Durham; Departments of Public Health (N.P., M.O.G.) and Biomedical and Nutritional Sciences (K.L.T.), Zuckerberg College of Health Sciences, and Center for Population Health (N.P., K.L.T.), University of Massachusetts Lowell; and School of Medicine (T.S.), Tufts University, Boston, MA
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29
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Porcu M, Cocco L, Cau R, Suri JS, Mannelli L, Puig J, Qi Y, Paraskevas KI, Saba L. Mid-term effects of carotid endarterectomy on cognition and white matter status evaluated by whole brain diffusion tensor imaging metrics: a preliminary analysis. Eur J Radiol 2022; 151:110314. [DOI: 10.1016/j.ejrad.2022.110314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 04/03/2022] [Accepted: 04/08/2022] [Indexed: 12/24/2022]
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30
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Brain structural changes in regions within the salience network in patients with functional constipation. Brain Imaging Behav 2022; 16:1741-1748. [DOI: 10.1007/s11682-022-00648-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2022] [Indexed: 11/02/2022]
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31
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A methodological scoping review of the integration of fMRI to guide dMRI tractography. What has been done and what can be improved: A 20-year perspective. J Neurosci Methods 2022; 367:109435. [PMID: 34915047 DOI: 10.1016/j.jneumeth.2021.109435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 11/30/2021] [Accepted: 12/02/2021] [Indexed: 11/23/2022]
Abstract
Combining MRI modalities is a growing trend in neurosciences. It provides opportunities to investigate the brain architecture supporting cognitive functions. Integrating fMRI activation to guide dMRI tractography offers potential advantages over standard tractography methods. A quick glimpse of the literature on this topic reveals that this technique is challenging, and no consensus or "best practices" currently exist, at least not within a single document. We present the first attempt to systematically analyze and summarize the literature of 80 studies that integrated task-based fMRI results to guide tractography, over the last two decades. We report 19 findings that cover challenges related to sample size, microstructure modelling, seeding methods, multimodal space registration, false negatives/positives, specificity/validity, gray/white matter interface and more. These findings will help the scientific community (1) understand the strengths and limitations of the approaches, (2) design studies using this integrative framework, and (3) motivate researchers to fill the gaps identified. We provide references toward best practices, in order to improve the overall result's replicability, sensitivity, specificity, and validity.
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32
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Koirala N, Kleinman D, Perdue MV, Su X, Villa M, Grigorenko EL, Landi N. Widespread effects of dMRI data quality on diffusion measures in children. Hum Brain Mapp 2021; 43:1326-1341. [PMID: 34799957 PMCID: PMC8837592 DOI: 10.1002/hbm.25724] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 11/02/2021] [Accepted: 11/11/2021] [Indexed: 12/12/2022] Open
Abstract
Diffusion magnetic resonance imaging (dMRI) datasets are susceptible to several confounding factors related to data quality, which is especially true in studies involving young children. With the recent trend of large‐scale multicenter studies, it is more critical to be aware of the varied impacts of data quality on measures of interest. Here, we investigated data quality and its effect on different diffusion measures using a multicenter dataset. dMRI data were obtained from 691 participants (5–17 years of age) from six different centers. Six data quality metrics—contrast to noise ratio, outlier slices, and motion (absolute, relative, translation, and rotational)—and four diffusion measures—fractional anisotropy, mean diffusivity, tract density, and length—were computed for each of 36 major fiber tracts for all participants. The results indicated that four out of six data quality metrics (all except absolute and translation motion) differed significantly between centers. Associations between these data quality metrics and the diffusion measures differed significantly across the tracts and centers. Moreover, these effects remained significant after applying recently proposed harmonization algorithms that purport to remove unwanted between‐site variation in diffusion data. These results demonstrate the widespread impact of dMRI data quality on diffusion measures. These tracts and measures have been routinely associated with individual differences as well as group‐wide differences between neurotypical populations and individuals with neurological or developmental disorders. Accordingly, for analyses of individual differences or group effects (particularly in multisite dataset), we encourage the inclusion of data quality metrics in dMRI analysis.
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Affiliation(s)
| | | | - Meaghan V Perdue
- Haskins Laboratories, New Haven, Connecticut, USA.,Department of Psychological Sciences, University of Connecticut, Connecticut, USA
| | - Xing Su
- Haskins Laboratories, New Haven, Connecticut, USA
| | - Martina Villa
- Haskins Laboratories, New Haven, Connecticut, USA.,Department of Psychological Sciences, University of Connecticut, Connecticut, USA
| | - Elena L Grigorenko
- Haskins Laboratories, New Haven, Connecticut, USA.,Department of Psychology, University of Houston, Houston, Texas, USA
| | - Nicole Landi
- Haskins Laboratories, New Haven, Connecticut, USA.,Department of Psychological Sciences, University of Connecticut, Connecticut, USA
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33
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Yang C, Yao L, Liu N, Zhang W, Tao B, Cao H, Gong Q, Lui S. Microstructural Abnormalities of White Matter Across Tourette Syndrome: A Voxel-Based Meta-Analysis of Fractional Anisotropy. Front Neurol 2021; 12:659250. [PMID: 34566829 PMCID: PMC8458640 DOI: 10.3389/fneur.2021.659250] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 06/07/2021] [Indexed: 02/05/2023] Open
Abstract
Introduction: Tourette syndrome (TS) is a neuropsychiatric disorder with multiple motor and vocal tics whose neural basis remains unclear. Diffusion tensor imaging (DTI) studies have demonstrated white matter microstructural alternations in TS, but the findings are inconclusive. In this study, we aimed to elucidate the most consistent white matter deficits in patients with TS. Method: By systematically searching online databases up to December 2020 for all DTI studies comparing fractional anisotropy (FA) between patients with TS and healthy controls (HCs), we conducted anisotropic effect size-signed differential mapping (AES-SDM) meta-analysis to investigate FA differences in TS, as well as performed meta-regression analysis to explore the effects of demographics and clinical characteristics on white matter abnormalities among TS. Results: A total of eight datasets including 168 patients with TS and 163 HCs were identified. We found that TS patients showed robustly decreased FA in the corpus callosum (CC) and right inferior longitudinal fasciculus (ILF) compared with HCs. These two regions preserved significance in the sensitivity analysis. No regions of increased FA were reported. Meta-regression analysis revealed that age, sex, tic severity, or illness duration of patients with TS were not linearly correlated with decreased FA. Conclusion: Patients with TS display deficits of white matter microstructure in the CC and right ILF known to be important for interhemispheric connections as well as long association fiber bundles within one hemisphere. Because the results reported in the primary literature were highly variable, future investigations with large samples would be required to support the identified white matter changes in TS.
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Affiliation(s)
- Chengmin Yang
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
| | - Li Yao
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
| | - Naici Liu
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
| | - Wenjing Zhang
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
| | - Bo Tao
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
| | - Hengyi Cao
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, United States.,Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, United States
| | - Qiyong Gong
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
| | - Su Lui
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
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34
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The Relations Between Physical Activity Level, Executive Function, and White Matter Microstructure in Older Adults. J Phys Act Health 2021; 18:1286-1298. [PMID: 34433700 DOI: 10.1123/jpah.2021-0012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 04/23/2021] [Accepted: 06/12/2021] [Indexed: 11/18/2022]
Abstract
The population of older adults is increasing, indicating a need to examine factors that may prevent or mitigate age-related cognitive decline. The current study examined whether microstructural white matter characteristics mediated the relation between physical activity and executive function in older adults without any self-reported psychiatric and neurological disorders or cognitive impairment (N = 43, mean age = 73 y). Physical activity was measured by average intensity and number of steps via accelerometry. Diffusion tensor imaging was used to examine microstructural white matter characteristics, and neuropsychological testing was used to examine executive functioning. Parallel mediation models were analyzed using microstructural white matter regions of interest as mediators of the association between physical activity and executive function. Results indicated that average steps was significantly related to executive function (β = 0.0003, t = 2.829, P = .007), while moderate to vigorous physical activity was not (β = 0.0007, t = 1.772, P = .08). White matter metrics did not mediate any associations. This suggests that microstructural white matter characteristics alone may not be the mechanism by which physical activity impacts executive function in aging.
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35
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Porcu M, Cocco L, Puig J, Mannelli L, Yang Q, Suri JS, Defazio G, Saba L. Global Fractional Anisotropy: Effect on Resting-state Neural Activity and Brain Networking in Healthy Participants. Neuroscience 2021; 472:103-115. [PMID: 34364954 DOI: 10.1016/j.neuroscience.2021.07.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 07/19/2021] [Accepted: 07/23/2021] [Indexed: 12/24/2022]
Abstract
The global fractional anisotropy (gFA) is a structural marker of white matter myelination and integrity. Previous studies already evidenced that aging-related reduced integrity of specific white matter tracts is associated with decreased functional connectivity in several hubs. However, the correlations between gFA and functional brain connectivity remain unknown. In this cross-sectional study, we analyzed structural and functional MR datasets of 79 healthy participants from the Leipzig Study for Mind-Body-Emotion Interactions. DTI model-based method was used to quantify gFA values. We tested associations between gFA, age, and gender. The fractional amplitude of low-frequency fluctuations (fALFF) and ROI-to-ROI connectivity were analyzed in a regression model for evaluating the effects of gFA on brain activity and networking, respectively. A negative correlation was found between gFA and age (ρ = -0.343; p = 0.002). No statistically significant correlation as found between gFA and gender (p = 0.229). Higher values of gFA were associated with increased brain regional activity, including areas of the default mode network. There was a higher degree of correlation between some regions, particularly those that conform to the limbic system. Our study demonstrates that gFA influences regional neural activity and brain networking on resting, particularly the limbic system.
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Affiliation(s)
- Michele Porcu
- Department of Radiology, AOU Cagliari, University of Cagliari, Italy.
| | - Luigi Cocco
- Department of Radiology, AOU Cagliari, University of Cagliari, Italy
| | - Josep Puig
- Department of Radiology (IDI) and Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | | | - Qi Yang
- Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, China
| | - Jasjit S Suri
- Stroke Diagnosis and Monitoring Division, AtheroPoint™, Roseville, CA, USA
| | - Giovanni Defazio
- Department of Neurology, University of Cagliari, Cagliari, Italy
| | - Luca Saba
- Department of Radiology, AOU Cagliari, University of Cagliari, Italy
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Cui M, Zhou T, Feng S, Liu X, Wang F, Zhang Y, Yu X. Altered microstructural pattern of white matter in Cushing's disease identified by automated fiber quantification. Neuroimage Clin 2021; 31:102770. [PMID: 34332193 PMCID: PMC8339293 DOI: 10.1016/j.nicl.2021.102770] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/26/2021] [Accepted: 07/20/2021] [Indexed: 11/19/2022]
Abstract
A growing body of evidence suggests that altered brain structure plays a crucial role in the pathogenesis of neuropsychological abnormalities induced by hypercortisolism in patients with Cushing's disease. While most studies mainly focus on gray matter, white matter structure has been largely overlooked. In the current study, we conducted a cross-sectional diffusion tensor imaging study on 58 patients with Cushing's disease and 54 matched healthy individuals to profile the microstructural pattern using automated fiber quantification and investigate its association with neuroendocrine and neuropsychological deficits. The study revealed that microstructural pattern showed a widespread mean diffusivity, radial diffusivity increase, fractional anisotropy decrease and partial axial diffusivity increase among tracts notably in corpus callosum forceps, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, superior longitudinal fasciculus, uncinate fasciculus and arcuate fasciculus, while within the same tract abnormalities localized to specific positions. Moreover, compromised microstructural pattern of white matter in specific tracts and locations along the trajectory were associated with ACTH and cortisol concentration and cognitive decline in patients with Cushing's disease. Collectively, our study elucidates the form of white matter pathology induced by hypercortisolism and its association with cognitive decline which may provide further targets for early identification and intervention of Cushing's disease.
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Affiliation(s)
- Mengchu Cui
- Medical School of Chinese PLA, Beijing, PR China; Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, PR China
| | - Tao Zhou
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, PR China
| | - Shiyu Feng
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, PR China
| | - Xinyun Liu
- Department of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, PR China
| | - Fuyu Wang
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, PR China
| | - Yanyang Zhang
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, PR China.
| | - Xinguang Yu
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, PR China.
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Daoust J, Schaffer J, Zeighami Y, Dagher A, García-García I, Michaud A. White matter integrity differences in obesity: A meta-analysis of diffusion tensor imaging studies. Neurosci Biobehav Rev 2021; 129:133-141. [PMID: 34284063 DOI: 10.1016/j.neubiorev.2021.07.020] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 06/07/2021] [Accepted: 07/15/2021] [Indexed: 01/17/2023]
Abstract
Some Diffusion Tensor Imaging studies have shown a loss of white matter (WM) integrity linked to impaired cognitive function in obese individuals. However, inconsistent WM integrity changes have been reported. We aimed to identify which WM tracts show consistent changes with obesity. We conducted a systematic search to find studies examining the association between obesity-related measures and Fractional Anisotropy (FA) or Mean Diffusivity. We performed a meta-analysis with FA datasets using Anisotropic Effect Size-Signed Differential Mapping software. The meta-analysis showed that increased obesity measurements were related to reduced FA in the genu of the corpus callosum. We validated our findings using an independent sample from the Human Connectome Project dataset, which supports lower FA in this region in individuals with obesity compared to those with normal weight (p = 0.028). Our findings provide evidence that obesity is associated with reduced WM integrity in the genu of the corpus callosum, a tract linking frontal areas involved in executive function. Future studies are needed on the mechanisms linking obesity with loss of WM integrity.
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Affiliation(s)
- Justine Daoust
- Research Center of the Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, 2725 chemin Sainte-Foy, Québec, Québec, G1V 4G5, Canada; School of Nutrition, Université Laval, 2325 rue de l'Université, Québec, Québec, G1V 0A6, Canada
| | - Joelle Schaffer
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, Québec, H3A 2B4, Canada
| | - Yashar Zeighami
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, Québec, H3A 2B4, Canada
| | - Alain Dagher
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, Québec, H3A 2B4, Canada
| | - Isabel García-García
- Department of Clinical Psychology and Psychobiology, University of Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
| | - Andréanne Michaud
- Research Center of the Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, 2725 chemin Sainte-Foy, Québec, Québec, G1V 4G5, Canada; School of Nutrition, Université Laval, 2325 rue de l'Université, Québec, Québec, G1V 0A6, Canada.
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38
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Alvar A, Hahn Arkenberg R, McGowan B, Cheng H, Malandraki GA. The Role of White Matter in the Neural Control of Swallowing: A Systematic Review. Front Hum Neurosci 2021; 15:628424. [PMID: 34262441 PMCID: PMC8273764 DOI: 10.3389/fnhum.2021.628424] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/26/2021] [Indexed: 12/24/2022] Open
Abstract
Background: Swallowing disorders (dysphagia) can negatively impact quality of life and health. For clinicians and researchers seeking to improve outcomes for patients with dysphagia, understanding the neural control of swallowing is critical. The role of gray matter in swallowing control has been extensively documented, but knowledge is limited regarding the contributions of white matter. Our aim was to identify, evaluate, and summarize the populations, methods, and results of published articles describing the role of white matter in neural control of swallowing. Methods: We completed a systematic review with a multi-engine search following PRISMA-P 2015 standards. Two authors screened articles and completed blind full-text review and quality assessments using an adapted U.S. National Institute of Health's Quality Assessment. The senior author resolved any disagreements. Qualitative synthesis of evidence was completed. Results: The search yielded 105 non-duplicate articles, twenty-two of which met inclusion criteria. Twenty were rated as Good (5/22; 23%) or Fair (15/22; 68%) quality. Stroke was the most represented diagnosis (n = 20; 91%). All studies were observational, and half were retrospective cohort design. The majority of studies (13/22; 59%) quantified white matter damage with lesion-based methods, whereas 7/22 (32%) described intrinsic characteristics of white matter using methods like fractional anisotropy. Fifteen studies (68%) used instrumental methods for swallowing evaluations. White matter areas commonly implicated in swallowing control included the pyramidal tract, internal capsule, corona radiata, superior longitudinal fasciculus, external capsule, and corpus callosum. Additional noteworthy themes included: severity of white matter damage is related to dysphagia severity; bilateral white matter lesions appear particularly disruptive to swallowing; and white matter adaptation can facilitate dysphagia recovery. Gaps in the literature included limited sample size and populations, lack of in-depth evaluations, and issues with research design. Conclusion: Although traditionally understudied, there is sufficient evidence to conclude that white matter is critical in the neural control of swallowing. The reviewed studies indicated that white matter damage can be directly tied to swallowing deficits, and several white matter structures were implicated across studies. Further well-designed interdisciplinary research is needed to understand white matter's role in neural control of normal swallowing and in dysphagia recovery and rehabilitation.
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Affiliation(s)
- Ann Alvar
- I-EaT Swallowing Research Laboratory, Speech Language and Hearing Sciences, Purdue University, West Lafayette, IN, United States
| | - Rachel Hahn Arkenberg
- I-EaT Swallowing Research Laboratory, Speech Language and Hearing Sciences, Purdue University, West Lafayette, IN, United States
| | - Bethany McGowan
- Libraries and School of Information Studies, Purdue University, West Lafayette, IN, United States
| | - Hu Cheng
- Psychological and Brain Sciences, Imaging Research Facility, Indiana University, Bloomington, IN, United States
| | - Georgia A Malandraki
- I-EaT Swallowing Research Laboratory, Speech Language and Hearing Sciences, Purdue University, West Lafayette, IN, United States.,Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States
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Differentiating Glioblastomas from Solitary Brain Metastases: An Update on the Current Literature of Advanced Imaging Modalities. Cancers (Basel) 2021; 13:cancers13122960. [PMID: 34199151 PMCID: PMC8231515 DOI: 10.3390/cancers13122960] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 12/12/2022] Open
Abstract
Differentiating between glioblastomas and solitary brain metastases proves to be a challenging diagnosis for neuroradiologists, as both present with imaging patterns consisting of peritumoral hyperintensities with similar intratumoral texture on traditional magnetic resonance imaging sequences. Early diagnosis is paramount, as each pathology has completely different methods of clinical assessment. In the past decade, recent developments in advanced imaging modalities enabled providers to acquire a more accurate diagnosis earlier in the patient's clinical assessment, thus optimizing clinical outcome. Dynamic susceptibility contrast has been optimized for detecting relative cerebral blood flow and relative cerebral blood volume. Diffusion tensor imaging can be used to detect changes in mean diffusivity. Neurite orientation dispersion and density imaging is an innovative modality detecting changes in intracellular volume fraction, isotropic volume fraction, and extracellular volume fraction. Magnetic resonance spectroscopy is able to assist by providing a metabolic descriptor while detecting variable ratios of choline/N-acetylaspartate, choline/creatine, and N-acetylaspartate/creatine. Finally, radiomics and machine learning algorithms have been devised to assist in improving diagnostic accuracy while often utilizing more than one advanced imaging protocol per patient. In this review, we provide an update on all the current evidence regarding the identification and differentiation of glioblastomas from solitary brain metastases.
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Ahmed S, Mohan A, Yoo HB, To WT, Kovacs S, Sunaert S, De Ridder D, Vanneste S. Structural correlates of the audiological and emotional components of chronic tinnitus. PROGRESS IN BRAIN RESEARCH 2021; 262:487-509. [PMID: 33931193 DOI: 10.1016/bs.pbr.2021.01.030] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The objective is to investigate white matter tracts, more specifically the arcuate fasciculus and acoustic radiation, in tinnitus and assess their relationship with distress, loudness and hearing loss. DTI images were acquired for 58 tinnitus patients and 65 control subjects. Deterministic tractography was first performed to visualize the arcuate fasciculus and acoustic radiation tracts bilaterally and to calculate tract density, fractional anisotropy, radial diffusivity, and axial diffusivity for tinnitus and control subjects. Tinnitus patients had a significantly reduced tract density compared to controls in both tracts of interest. They also exhibited increased axial diffusivity in the left acoustic radiation, as well as increased radial diffusivity in the left arcuate fasciculus, and both the left and right acoustic radiation. Furthermore, they exhibited decreased fractional anisotropy in the left arcuate fasciculus, as well as the left and right acoustic radiation tracts. Partial correlation analysis showed: (1) a negative correlation between arcuate fasciculus tract density and tinnitus distress, (2) a negative correlation between acoustic radiation tract density and hearing loss, (3) a negative correlation between acoustic radiation tract density and loudness, (4) a positive correlation between left arcuate fasciculus and tinnitus distress for radial diffusivity, (5) a negative correlation between left arcuate fasciculus and tinnitus distress for fractional anisotropy, (6) a positive correlation between left and right acoustic radiation and hearing loss for radial diffusivity, (7) No correlation between any of the white matter characteristics and tinnitus loudness. Structural alterations in the acoustic radiation and arcuate fasciculus correlate with hearing loss and distress in tinnitus but not tinnitus loudness showing that loudness is a more functional correlate of the disorder which does not manifest structurally.
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Affiliation(s)
- Shaheen Ahmed
- Lab for Clinical and Integrative Neuroscience, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, United States
| | - Anusha Mohan
- Global Brain Health Institute & Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Hye Bin Yoo
- Lab for Clinical and Integrative Neuroscience, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, United States
| | - Wing Ting To
- School of Nursing & Midwifery, Trinity College Dublin, Dublin, Ireland
| | - Silvia Kovacs
- Translational MRI, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- Translational MRI, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Dirk De Ridder
- School of Nursing & Midwifery, Trinity College Dublin, Dublin, Ireland
| | - Sven Vanneste
- Lab for Clinical and Integrative Neuroscience, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, United States; Global Brain Health Institute & Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
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41
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He Y, Li K, Li J, Wang J, Cheng N, Xiao J, Jiang T. Cingulum White Matter Integrity as a Mediator Between Harm Avoidance and Hostility. Neuroscience 2021; 461:36-43. [PMID: 33691143 DOI: 10.1016/j.neuroscience.2021.02.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/01/2021] [Accepted: 02/24/2021] [Indexed: 11/18/2022]
Abstract
As a textbook manifestation of an aggressive attitude, hostility can pose a serious threat to both an individual's life and the security of society at large. Past evidence suggests that some anxiety-related traits may be more prone to giving rise to hostility. However, many aspects of hostility, such as, determining the susceptible temperament for hostility, the neural basis of hostility, and the underlying mechanisms through which having a susceptible temperament generates hostility in a healthy brain, remain unclear. In this study, we sought to delve into these questions by assessing temperament and brain white matter integrity using self-report questionnaires and diffusion tensor imaging in a sizable sample of healthy adults (n = 357). First, we investigated the relationship between hostility and the four temperaments of the Cloninger model. Then, we investigated which white matter tracts were significantly correlated with hostility using a whole-brain analysis. Finally, we used a mediation analysis to explore the tripartite relationship between vulnerability temperament, the fractional anisotropy (FA) value of the white matter, and hostility. Our results suggest that a harm avoidance temperament may be susceptible to hostility and that the cingulum may be a key white matter region responsible for hostility. Based on these results, we developed a temperament-brain-attitude pathway showing how harm avoidance temperament could affect the brain and ultimately lead to hostility.
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Affiliation(s)
- Yini He
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Kaixin Li
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China
| | - Jin Li
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Jiaojian Wang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Nanhua Cheng
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing 100048, China
| | - Jing Xiao
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing 100048, China
| | - Tianzi Jiang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; The Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072, Australia.
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42
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Associations between different white matter properties and reward-based performance modulation. Brain Struct Funct 2021; 226:1007-1021. [DOI: 10.1007/s00429-021-02222-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 01/14/2021] [Indexed: 12/13/2022]
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43
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Gosar D, Tretnjak V, Bregant T, Neubauer D, Derganc M. Reduced white-matter integrity and lower speed of information processing in adolescents with mild and moderate neonatal hypoxic-ischaemic encephalopathy. Eur J Paediatr Neurol 2020; 28:205-213. [PMID: 32665198 DOI: 10.1016/j.ejpn.2020.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 06/07/2020] [Accepted: 06/08/2020] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Studies have shown that adolescents with moderate hypoxic-ischaemic encephalopathy (HIE) may have specific cognitive deficits, especially reduced speed of information processing. The aim of our study was to confirm these earlier findings find out whether the degree of impairment in speed of information processing correlates with the degree of white-matter impairment as measured by diffusion tensor imaging (DTI). METHODS Thirty-three participants (mean age 18y 5mo, SD 12mo; 19 male) with mild or moderate HIE and 32 neurotypical adolescents (mean age 17y 10mo, SD 12mo, 18 male) completed a comprehensive neuropsychological battery measuring short-term memory, inhibition, speed of information processing, long-term visual and verbal memory. Fourteen participants also underwent structural MRI and DTI scans. RESULTS After controlling for age, gender and maternal education we found a significant effect of HIE on speed of information processing (F(2, 64) = 3.51, p < .037, η2 = 0.115), but not on other neuropsychological domains. Using tract-based spatial statistics we were also able to confirm a correlation between the degree of impairment in this cognitive domain and fractional anisotropy in several white-matter tracts. CONCLUSIONS The long-term cognitive outcome of moderate HIE includes reduced speed of information processing and is in part mediated by reduced integrity of major white-matter tracts.
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Affiliation(s)
- David Gosar
- University Children's Hospital, University Medical Centre Ljubljana, Department of Child, Adolescent and Developmental Neurology, Ljubljana, Slovenia.
| | - Vali Tretnjak
- University Children's Hospital, University Medical Centre Ljubljana, Department of Child, Adolescent and Developmental Neurology, Ljubljana, Slovenia
| | - Tina Bregant
- Centre for Education and Rehabilitation of Physically Handicapped Children and Adolescents - CIRIUS Kamnik, Slovenia
| | - David Neubauer
- University Children's Hospital, University Medical Centre Ljubljana, Department of Child, Adolescent and Developmental Neurology, Ljubljana, Slovenia
| | - Metka Derganc
- University Medical Centre Ljubljana, Department of Paediatric Surgery and Intensive Care, Ljubljana, Slovenia
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Straub S, Mangesius S, Emmerich J, Indelicato E, Nachbauer W, Degenhardt KS, Ladd ME, Boesch S, Gizewski ER. Toward quantitative neuroimaging biomarkers for Friedreich's ataxia at 7 Tesla: Susceptibility mapping, diffusion imaging, R 2 and R 1 relaxometry. J Neurosci Res 2020; 98:2219-2231. [PMID: 32731306 PMCID: PMC7590084 DOI: 10.1002/jnr.24701] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 06/12/2020] [Accepted: 07/08/2020] [Indexed: 01/21/2023]
Abstract
Friedreich's ataxia (FRDA) is a rare genetic disorder leading to degenerative processes. So far, no effective treatment has been found. Therefore, it is important to assist the development of medication with imaging biomarkers reflecting disease status and progress. Ten FRDA patients (mean age 37 ± 14 years; four female) and 10 age- and sex-matched controls were included. Acquisition of magnetic resonance imaging (MRI) data for quantitative susceptibility mapping, R1 , R2 relaxometry and diffusion imaging was performed at 7 Tesla. Results of volume of interest (VOI)-based analyses of the quantitative data were compared with a voxel-based morphometry (VBM) evaluation. Differences between patients and controls were assessed using the analysis of covariance (ANCOVA; p < 0.01) with age and sex as covariates, effect size of group differences, and correlations with disease characteristics with Spearman correlation coefficient. For the VBM analysis, a statistical threshold of 0.001 for uncorrected and 0.05 for corrected p-values was used. Statistically significant differences between FRDA patients and controls were found in five out of twelve investigated structures, and statistically significant correlations with disease characteristics were revealed. Moreover, VBM revealed significant white matter atrophy within regions of the brainstem, and the cerebellum. These regions overlapped partially with brain regions for which significant differences between healthy controls and patients were found in the VOI-based quantitative MRI evaluation. It was shown that two independent analyses provided overlapping results. Moreover, positive results on correlations with disease characteristics were found, indicating that these quantitative MRI parameters could provide more detailed information and assist the search for effective treatments.
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Affiliation(s)
- Sina Straub
- Division of Medical Physics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stephanie Mangesius
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria.,Neuroimaging Core Facility, Medical University of Innsbruck, Innsbruck, Austria
| | - Julian Emmerich
- Division of Medical Physics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
| | | | - Wolfgang Nachbauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Katja S Degenhardt
- Division of Medical Physics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
| | - Mark E Ladd
- Division of Medical Physics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany.,Faculty of Medicine, Heidelberg University, Heidelberg, Germany
| | - Sylvia Boesch
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elke R Gizewski
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria.,Neuroimaging Core Facility, Medical University of Innsbruck, Innsbruck, Austria
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45
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Croall ID, Sanders DS, Hadjivassiliou M, Hoggard N. Cognitive Deficit and White Matter Changes in Persons With Celiac Disease: A Population-Based Study. Gastroenterology 2020; 158:2112-2122. [PMID: 32088203 DOI: 10.1053/j.gastro.2020.02.028] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 12/24/2019] [Accepted: 02/01/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND & AIMS There is debate over the presence and prevalence of brain injury in patients with celiac disease. To validate previous reports, we investigated the prevalence of neuropsychological dysfunction in persons with celiac disease included in the National UK Biobank, which contains experimental medical data from 500,000 adults in the United Kingdom. METHODS Biobank participants with celiac disease (n = 104; mean age, 63 years; 65% female) were matched with healthy individuals (controls, n = 198; mean age, 63 years; 67% female) for age, sex, level of education, body mass index, and diagnosis of hypertension. All participants were otherwise healthy. We compared scores from 5 cognitive tests and multiple choice responses to 6 questions about mental health between groups using the t test and chi-squared analyses. Groupwise analyses of magnetic resonance imaging brain data included a study of diffusion tensor imaging metrics (mean diffusivity, fractional anisotropy, radial diffusivity, axial diffusivity), voxel-based morphometry, and Mann-Whitney U comparisons of Fazekas grades. RESULTS Compared with control individuals, participants with celiac disease had significant deficits in reaction time (P = .004), and significantly higher proportions had indications of anxiety (P = .025), depression (P = .015), thoughts of self-harm (P = .025), and health-related unhappiness (P = .010). Tract-based spatial statistics analysis showed significantly increased axial diffusivity in widespread locations, demonstrating white matter changes in the brains of participants with celiac disease. Voxel-based morphometry and Fazekas grade analyses did not differ significantly between groups. CONCLUSIONS In an analysis of data from the UK Biobank, we found participants with celiac disease to have cognitive deficit, indications of worsened mental health, and white matter changes, based on analyses of brain images. These findings support the concept that celiac disease is associated with neurologic and psychological features.
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Affiliation(s)
- Iain D Croall
- University of Sheffield, Academic Unit of Radiology, Royal Hallamshire Hospital, Sheffield, United Kingdom; University of Sheffield, Institute for in silico Medicine (INSIGNEO), Sheffield, United Kingdom.
| | - David S Sanders
- Academic Unit of Gastroenterology, Royal Hallamshire Hospital, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom
| | - Marios Hadjivassiliou
- Department of Neurology, Royal Hallamshire Hospital, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom
| | - Nigel Hoggard
- University of Sheffield, Academic Unit of Radiology, Royal Hallamshire Hospital, Sheffield, United Kingdom; University of Sheffield, Institute for in silico Medicine (INSIGNEO), Sheffield, United Kingdom
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Li C, Niu J, Zhou B, Deng W, Deng F, Zhou Z, Xu G. Dexmedetomidine attenuates cisplatin-induced cognitive impairment by modulating miR-429-3p expression in rats. 3 Biotech 2020; 10:244. [PMID: 32411568 DOI: 10.1007/s13205-020-02217-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 04/18/2020] [Indexed: 12/15/2022] Open
Abstract
Chemotherapy-induced cognitive impairment (CICI) is widely recognized as a frequent adverse side effect following the administration of chemotherapeutic agents. This study aimed to explore the neuroprotective functions and mechanisms of microRNAs (miRNAs) mediated by dexmedetomidine (Dex) on cisplatin-induced CICI. The model rats received 5 mg/kg cisplatin injections once per week for 4 weeks. Dex (30 μg/kg) was administered before cisplatin treatment. The protective effects of Dex were evaluated using Morris water maze, Nissl staining, and transmission electron microscopy. Dex-mediated miRNAs were screened via miRNA sequencing. The effects of Dex and key miRNAs on mitochondrial DNA gene mt-ND1 and caspase-9 expression were tested. Dex exhibited a protective effect against decreased learning memory ability, hippocampal neuronal damage, and mitochondrial damage in CICI rats. Thirty-nine differentially expressed (DE) miRNAs were screened, 13 of which responded positively to Dex treatment. Gene Ontology annotation identified that DE miRNAs were mainly involved in transcription, DNA-templated. Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that DE miRNAs were mainly involved in neuronal function and brain development-related pathways, such as axon guidance and calcium signaling pathways. Compared to cisplatin treatment, the expression of miR-429-3p responded more strongly to Dex treatment. In cisplatin-treated cultured hippocampal neurons, Dex treatment and miR-429-3p overexpression significantly increased mitochondrial DNA gene mt-ND1expression and decreased caspase-9 expression. Our study suggests that Dex alleviates CICI by modulating miR-429-3p expression in rats. Thus, Dex may be effective in preventing the side effects of cisplatin.
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Chettouf S, Rueda-Delgado LM, de Vries R, Ritter P, Daffertshofer A. Are unimanual movements bilateral? Neurosci Biobehav Rev 2020; 113:39-50. [DOI: 10.1016/j.neubiorev.2020.03.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 02/07/2020] [Accepted: 03/02/2020] [Indexed: 12/31/2022]
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Dou X, Yao H, Feng F, Wang P, Zhou B, Jin D, Yang Z, Li J, Zhao C, Wang L, An N, Liu B, Zhang X, Liu Y. Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets. Cortex 2020; 129:390-405. [PMID: 32574842 DOI: 10.1016/j.cortex.2020.03.032] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 12/13/2019] [Accepted: 03/31/2020] [Indexed: 12/28/2022]
Abstract
Alzheimer's disease (AD) is a chronic neurodegenerative disease characterized by progressive dementia. Diffusion tensor imaging (DTI) has been widely used to show structural integrity and delineate white matter (WM) degeneration in AD. The automated fiber quantification (AFQ) method is a fully automated approach that can rapidly and reliably identify major WM fiber tracts and evaluate WM properties. The main aim of this study was to assess WM integrity and abnormities in a cohort of patients with amnestic mild cognitive impairment (aMCI) and AD as well as normal controls (NCs). For this purpose, we first used AFQ to identify 20 major WM tracts and assessed WM integrity and abnormalities in a cohort of 120 subjects (39 NCs, 34 aMCI patients and 47 AD patients) in a discovery dataset and 122 subjects (43 NCs, 37 aMCI patients and 42 AD patients) in a replicated dataset. Pointwise differences along WM tracts were identified in the discovery dataset and simultaneously confirmed in the replicated dataset. Next, we investigated the utility of DTI measures along WM tracts as features to distinguish patients with AD from NCs via multilevel cross validation using a support vector machine. Correlation analysis revealed the identified microstructural WM alterations and classification output to be highly associated with cognitive ability in the patient groups, suggesting that they may be a robust biomarker of AD. This systematic study provides a pipeline to examine WM integrity and its potential clinical application in AD and may be useful for studying other neurological and psychiatric disorders.
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Affiliation(s)
- Xuejiao Dou
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, China
| | - Hongxiang Yao
- Department of Radiology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, China
| | - Feng Feng
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, 300350, China; Department of Neurology, Nankai University Huanhu Hospital, Tianjin, China
| | - Bo Zhou
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, China
| | - Dan Jin
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, China
| | - Zhengyi Yang
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jin Li
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Cui Zhao
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, China
| | - Luning Wang
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, China
| | - Ningyu An
- Department of Radiology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, China
| | - Bing Liu
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Xi Zhang
- Department of Neurology, The Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, China.
| | - Yong Liu
- Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
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Association between diffusivity measures and language and cognitive-control abilities from early toddler’s age to childhood. Brain Struct Funct 2020; 225:1103-1122. [DOI: 10.1007/s00429-020-02062-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 03/20/2020] [Indexed: 12/20/2022]
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50
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Warnock A, Toomey LM, Wright AJ, Fisher K, Won Y, Anyaegbu C, Fitzgerald M. Damage Mechanisms to Oligodendrocytes and White Matter in Central Nervous System Injury: The Australian Context. J Neurotrauma 2020; 37:739-769. [DOI: 10.1089/neu.2019.6890] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Andrew Warnock
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Lillian M. Toomey
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
| | - Alexander J. Wright
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Katherine Fisher
- School of Human Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Yerim Won
- School of Human Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Chidozie Anyaegbu
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
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