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Crouse JJ, Park SH, Hermens DF, Lagopoulos J, Park M, Shin M, Carpenter JS, Scott EM, Hickie IB. Chronotype and subjective sleep quality predict white matter integrity in young people with emerging mental disorders. Eur J Neurosci 2024; 59:3322-3336. [PMID: 38650167 DOI: 10.1111/ejn.16351] [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: 05/18/2023] [Revised: 12/13/2023] [Accepted: 03/18/2024] [Indexed: 04/25/2024]
Abstract
Protecting brain health is a goal of early intervention. We explored whether sleep quality or chronotype could predict white matter (WM) integrity in emerging mental disorders. Young people (N = 364) accessing early-intervention clinics underwent assessments for chronotype, subjective sleep quality, and diffusion tensor imaging. Using machine learning, we examined whether chronotype or sleep quality (alongside diagnostic and demographic factors) could predict four measures of WM integrity: fractional anisotropy (FA), and radial, axial, and mean diffusivities (RD, AD and MD). We prioritised tracts that showed a univariate association with sleep quality or chronotype and considered predictors identified by ≥80% of machine learning (ML) models as 'important'. The most important predictors of WM integrity were demographics (age, sex and education) and diagnosis (depressive and bipolar disorders). Subjective sleep quality only predicted FA in the perihippocampal cingulum tract, whereas chronotype had limited predictive importance for WM integrity. To further examine links with mood disorders, we conducted a subgroup analysis. In youth with depressive and bipolar disorders, chronotype emerged as an important (often top-ranking) feature, predicting FA in the cingulum (cingulate gyrus), AD in the anterior corona radiata and genu of the corpus callosum, and RD in the corona radiata, anterior corona radiata, and genu of corpus callosum. Subjective quality was not important in this subgroup analysis. In summary, chronotype predicted altered WM integrity in the corona radiata and corpus callosum, whereas subjective sleep quality had a less significant role, suggesting that circadian factors may play a more prominent role in WM integrity in emerging mood disorders.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Shin Ho Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Minji Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mirim Shin
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
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Le Grand Q, Tsuchida A, Koch A, Imtiaz MA, Aziz NA, Vigneron C, Zago L, Lathrop M, Dubrac A, Couffinhal T, Crivello F, Matthews PM, Mishra A, Breteler MMB, Tzourio C, Debette S. Diffusion imaging genomics provides novel insight into early mechanisms of cerebral small vessel disease. Mol Psychiatry 2024:10.1038/s41380-024-02604-7. [PMID: 38811690 DOI: 10.1038/s41380-024-02604-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024]
Abstract
Cerebral small vessel disease (cSVD) is a leading cause of stroke and dementia. Genetic risk loci for white matter hyperintensities (WMH), the most common MRI-marker of cSVD in older age, were recently shown to be significantly associated with white matter (WM) microstructure on diffusion tensor imaging (signal-based) in young adults. To provide new insights into these early changes in WM microstructure and their relation with cSVD, we sought to explore the genetic underpinnings of cutting-edge tissue-based diffusion imaging markers across the adult lifespan. We conducted a genome-wide association study of neurite orientation dispersion and density imaging (NODDI) markers in young adults (i-Share study: N = 1 758, (mean[range]) 22.1[18-35] years), with follow-up in young middle-aged (Rhineland Study: N = 714, 35.2[30-40] years) and late middle-aged to older individuals (UK Biobank: N = 33 224, 64.3[45-82] years). We identified 21 loci associated with NODDI markers across brain regions in young adults. The most robust association, replicated in both follow-up cohorts, was with Neurite Density Index (NDI) at chr5q14.3, a known WMH locus in VCAN. Two additional loci were replicated in UK Biobank, at chr17q21.2 with NDI, and chr19q13.12 with Orientation Dispersion Index (ODI). Transcriptome-wide association studies showed associations of STAT3 expression in arterial and adipose tissue (chr17q21.2) with NDI, and of several genes at chr19q13.12 with ODI. Genetic susceptibility to larger WMH volume, but not to vascular risk factors, was significantly associated with decreased NDI in young adults, especially in regions known to harbor WMH in older age. Individually, seven of 25 known WMH risk loci were associated with NDI in young adults. In conclusion, we identified multiple novel genetic risk loci associated with NODDI markers, particularly NDI, in early adulthood. These point to possible early-life mechanisms underlying cSVD and to processes involving remyelination, neurodevelopment and neurodegeneration, with a potential for novel approaches to prevention.
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Affiliation(s)
- Quentin Le Grand
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ami Tsuchida
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Alexandra Koch
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mohammed-Aslam Imtiaz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Chloé Vigneron
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
| | - Laure Zago
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Mark Lathrop
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, H3A 0G1, Canada
| | - Alexandre Dubrac
- Centre de Recherche, CHU Sainte-Justine, Montréal, QC, Canada
- Département de Pathologie et Biologie Cellulaire, Université de Montréal, Montréal, QC, Canada
- Département d'Ophtalmologie, Université de Montréal, Montréal, QC, Canada
| | - Thierry Couffinhal
- University of Bordeaux, INSERM, Biologie des maladies cardiovasculaires, U1034, F-33600, Pessac, France
| | - Fabrice Crivello
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
- CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging Group, F-33000, Bordeaux, France
| | - Paul M Matthews
- UK Dementia Research Institute and Department of Brain Sciences, Imperial College, London, UK
| | - Aniket Mishra
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Christophe Tzourio
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France
- Bordeaux University Hospital, Department of Medical Informatics, F-33000, Bordeaux, France
| | - Stéphanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, F-33000, Bordeaux, France.
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, F-33000, Bordeaux, France.
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Denson RK, Brooks J, Pinna G, Crane NA. Effects of Cannabidiol in Adolescent and Young Adult Depressive and Anxiety Disorders: A Systematic Review of Clinical and Preclinical Research. ADOLESCENT PSYCHIATRY 2023; 13:176-194. [PMID: 38919887 PMCID: PMC11198978 DOI: 10.2174/0122106766233339230919143924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 08/17/2023] [Accepted: 08/25/2023] [Indexed: 06/27/2024]
Abstract
Background Adolescents and young adults may use cannabidiol (CBD) products in an attempt to reduce depression and anxiety symptoms, despite little research examining this use. This systematic review evaluated preclinical and clinical research on the effects of CBD on depressive and anxiety disorders in adolescence and young adulthood. To provide context, we discuss CBD's mechanism of action and neurodevelopmental effects. Methods PubMed was searched for articles published through June 2022. Preclinical or clinical CBD administration studies with N > 1 that examined depressive and/or anxiety disorders were eligible. Results Initially, 224 publications were identified. After excluding duplicates and applying eligibility criteria, 6 preclinical (depression: n≈133; anxiety: n≈161) and 4 clinical (anxiety: n=113) articles remained. Due to the low number of studies, results were synthesized qualitatively. The Oxford Centre for Evidence-Based Medicine 2011 Levels of Evidence were used to rate each study's evidence. The preclinical effects of CBD on depression-like behavior appear to differ by sex, early life stress, and duration of use. Despite no evidence that CBD exerts anxiolytic effects in preclinical adolescent models, CBD may reduce anxiety symptoms in human adolescents and young adults with anxiety disorders. Conclusions The existing evidence suggests that CBD may reduce symptoms of anxiety in adolescents and young adults. However, the evidence is sparse and limited by variations in samples and CBD dosing duration. Further research is needed to understand the potential benefits and/or harms of CBD for depression and anxiety disorders in this population. Implications for clinical practice and research are discussed.
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Affiliation(s)
| | - Julia Brooks
- Department of Psychology, University of Illinois at Chicago
| | - Graziano Pinna
- Department of Psychiatry, University of Illinois at Chicago
- UI Center on Depression and Resilience (UICDR), University of Illinois at Chicago
- Center for Alcohol Research in Epigenetics, University of Illinois at Chicago
- The Psychiatric Institute, University of Illinois at Chicago
| | - Natania A. Crane
- Department of Psychiatry, University of Illinois at Chicago
- UI Center on Depression and Resilience (UICDR), University of Illinois at Chicago
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Lima Rebouças SC, Crivello F, Tsuchida A, Tzourio C, Schweitzer C, Korobelnik J, Delcourt C, Helmer C. Association of retinal nerve layers thickness and brain imaging in healthy young subjects from the i-Share-Bordeaux study. Hum Brain Mapp 2023; 44:4722-4737. [PMID: 37401639 PMCID: PMC10400793 DOI: 10.1002/hbm.26412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 05/18/2023] [Accepted: 06/13/2023] [Indexed: 07/05/2023] Open
Abstract
Given the anatomical and functional similarities between the retina and the brain, the retina could be a "window" for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell-inner plexiform layer, GC-IPL; and macular ganglion cell complex, GCC), and brain magnetic resonance imaging (MRI) parameters in young health adults. We included 857 students (mean age: 23.3 years, 71.3% women) from the i-Share study. We used multivariate linear models to study the cross-sectional association of each retinal nerve layer thickness assessed by spectral-domain optical coherence tomography (SD-OCT) with structural (volumes and cortical thickness), and microstructural brain markers, assessed on MRI globally and regionally. Microstructural MRI parameters included diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). On global brain analysis, thicker ppRNFL, GC-IPL and GCC were all significantly associated with patterns of diffusion metrics consistent with higher WM microstructural integrity. In regional analyses, after multiple testing corrections, our results suggested significant associations of some retinal nerve layers with brain regional gray matter occipital volumes and with diffusion MRI parameters in a region involved in the visual pathway and in regions containing associative tracts. No associations were found with global volumes or with global or regional cortical thicknesses. Results of this study suggest that some retinal nerve layers may reflect brain structures. Further studies are needed to confirm these results in young subjects.
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Affiliation(s)
| | | | - Ami Tsuchida
- University of Bordeaux, CNRS, CEA, IMN, GINBordeauxFrance
| | | | - Cédric Schweitzer
- Department of OphthalmologyBordeaux University HospitalBordeauxFrance
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Dennis EL, Newsome MR, Lindsey HM, Adamson M, Austin TA, Disner SG, Eapen BC, Esopenko C, Franz CE, Geuze E, Haswell C, Hinds SR, Hodges CB, Irimia A, Kenney K, Koerte IK, Kremen WS, Levin HS, Morey RA, Ollinger J, Rowland JA, Scheibel RS, Shenton ME, Sullivan DR, Talbert LD, Thomopoulos SI, Troyanskaya M, Walker WC, Wang X, Ware AL, Werner JK, Williams W, Thompson PM, Tate DF, Wilde EA. Altered lateralization of the cingulum in deployment-related traumatic brain injury: An ENIGMA military-relevant brain injury study. Hum Brain Mapp 2023; 44:1888-1900. [PMID: 36583562 PMCID: PMC9980891 DOI: 10.1002/hbm.26179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/17/2022] [Accepted: 11/23/2022] [Indexed: 12/31/2022] Open
Abstract
Traumatic brain injury (TBI) in military populations can cause disruptions in brain structure and function, along with cognitive and psychological dysfunction. Diffusion magnetic resonance imaging (dMRI) can detect alterations in white matter (WM) microstructure, but few studies have examined brain asymmetry. Examining asymmetry in large samples may increase sensitivity to detect heterogeneous areas of WM alteration in mild TBI. Through the Enhancing Neuroimaging Genetics Through Meta-Analysis Military-Relevant Brain Injury working group, we conducted a mega-analysis of neuroimaging and clinical data from 16 cohorts of Active Duty Service Members and Veterans (n = 2598). dMRI data were processed together along with harmonized demographic, injury, psychiatric, and cognitive measures. Fractional anisotropy in the cingulum showed greater asymmetry in individuals with deployment-related TBI, driven by greater left lateralization in TBI. Results remained significant after accounting for potentially confounding variables including posttraumatic stress disorder, depression, and handedness, and were driven primarily by individuals whose worst TBI occurred before age 40. Alterations in the cingulum were also associated with slower processing speed and poorer set shifting. The results indicate an enhancement of the natural left laterality of the cingulum, possibly due to vulnerability of the nondominant hemisphere or compensatory mechanisms in the dominant hemisphere. The cingulum is one of the last WM tracts to mature, reaching peak FA around 42 years old. This effect was primarily detected in individuals whose worst injury occurred before age 40, suggesting that the protracted development of the cingulum may lead to increased vulnerability to insults, such as TBI.
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Affiliation(s)
- Emily L. Dennis
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare SystemSalt Lake CityUtahUSA
| | - Mary R. Newsome
- Michael E. DeBakey Veterans Affairs Medical CenterHoustonTexasUSA
- H. Ben Taub Department of Physical Medicine and RehabilitationBaylor College of MedicineHoustonTexasUSA
| | - Hannah M. Lindsey
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare SystemSalt Lake CityUtahUSA
| | - Maheen Adamson
- Rehabilitation DepartmentVA Palo Alto Health Care SystemPalo AltoCaliforniaUSA
- NeurosurgeryStanford School of MedicineStanfordCaliforniaUSA
- Operational Military Exposure Network (WOMEN), VA Palo Alto Healthcare SystemCaliforniaPalo Alto94304USA
| | - Tara A. Austin
- The VA Center of Excellence for Research on Returning War VeteransWacoTexasUSA
| | - Seth G. Disner
- Minneapolis VA Health Care SystemMinneapolisMinnesottaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of Minnesota Medical SchoolMinneapolisMinnesottaUSA
| | - Blessen C. Eapen
- Department of Physical Medicine and RehabilitationVA Greater Los Angeles Health Care SystemLos AngelesCaliforniaUSA
- Department of MedicineDavid Geffen School of Medicine at UCLALos AngelesCaliforniaUSA
| | - Carrie Esopenko
- Department of Rehabilitation and Human PerformanceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Carol E. Franz
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
- Center for Behavior Genetics of AgingUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Elbert Geuze
- University Medical Center UtrechtUtrechtThe Netherlands
- Brain Research and Innovation CentreMinistry of DefenceUtrechtThe Netherlands
| | - Courtney Haswell
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
| | - Sidney R. Hinds
- Department of NeurologyUniformed Services UniversityBethesdaMarylandUSA
| | - Cooper B. Hodges
- Department of Physical Medicine and RehabilitationVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of GerontologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Biomedical EngineeringViterbi School of Engineering, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Kimbra Kenney
- Department of NeurologyUniformed Services UniversityBethesdaMarylandUSA
- National Intrepid Center of ExcellenceWalter Reed National Military Medical CenterBethesdaMarylandUSA
| | - Inga K. Koerte
- Psychiatry Neuroimaging LaboratoryBrigham and Women's HospitalBostonMassachusettsUSA
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyLudwig‐Maximilians‐UniversitätMunichGermany
| | - William S. Kremen
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
- Center for Behavior Genetics of AgingUniversity of California, San DiegoLa JollaCaliforniaUSA
- Center of Excellence for Stress and Mental HealthVA San Diego Healthcare SystemLa JollaCaliforniaUSA
| | - Harvey S. Levin
- Michael E. DeBakey Veterans Affairs Medical CenterHoustonTexasUSA
- H. Ben Taub Department of Physical Medicine and RehabilitationBaylor College of MedicineHoustonTexasUSA
| | - Rajendra A. Morey
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
- Duke‐UNC Brain Imaging and Analysis CenterDuke UniversityDurhamNorth CarolinaUSA
- VA Mid‐Atlantic Mental Illness Research Education and Clinical Center (MA‐MIRECC)DurhamNorth CarolinaUSA
| | - John Ollinger
- National Intrepid Center of ExcellenceWalter Reed National Military Medical CenterBethesdaMarylandUSA
| | - Jared A. Rowland
- VA Mid‐Atlantic Mental Illness Research Education and Clinical Center (MA‐MIRECC)DurhamNorth CarolinaUSA
- W.G. (Bill) Hefner VA Medical CenterSalisburyNorth CarolinaUSA
- Department of Neurobiology & AnatomyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Randall S. Scheibel
- Michael E. DeBakey Veterans Affairs Medical CenterHoustonTexasUSA
- H. Ben Taub Department of Physical Medicine and RehabilitationBaylor College of MedicineHoustonTexasUSA
| | - Martha E. Shenton
- Psychiatry Neuroimaging LaboratoryBrigham and Women's HospitalBostonMassachusettsUSA
- VA Boston Healthcare SystemBostonMassachusettsUSA
| | - Danielle R. Sullivan
- National Center for PTSDVA Boston Healthcare SystemBostonMassachusettsUSA
- Department of PsychiatryBoston University School of MedicineBostonMassachusettsUSA
| | - Leah D. Talbert
- Department of PsychologyBrigham Young UniversityProvoUtahUSA
| | - Sophia I. Thomopoulos
- Imaging Genetics CenterStevens Neuroimaging & Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Maya Troyanskaya
- Michael E. DeBakey Veterans Affairs Medical CenterHoustonTexasUSA
- H. Ben Taub Department of Physical Medicine and RehabilitationBaylor College of MedicineHoustonTexasUSA
| | - William C. Walker
- Department of Physical Medicine and RehabilitationVirginia Commonwealth UniversityRichmondVirginiaUSA
- Hunter Holmes McGuire Veterans Affairs Medical CenterRichmondVirginiaUSA
| | - Xin Wang
- Department of PsychiatryUniversity of ToledoToledoOhioUSA
| | - Ashley L. Ware
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- Department of PsychologyGeorgia State UniversityAtlantaGeorgiaUSA
| | - John Kent Werner
- Department of NeurologyUniformed Services UniversityBethesdaMarylandUSA
| | - Wright Williams
- Michael E. DeBakey Veterans Affairs Medical CenterHoustonTexasUSA
| | - Paul M. Thompson
- Imaging Genetics CenterStevens Neuroimaging & Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
- Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and OphthalmologyUSCLos AngelesCaliforniaUSA
| | - David F. Tate
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare SystemSalt Lake CityUtahUSA
| | - Elisabeth A. Wilde
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- George E. Wahlen Veterans Affairs Salt Lake City Healthcare SystemSalt Lake CityUtahUSA
- H. Ben Taub Department of Physical Medicine and RehabilitationBaylor College of MedicineHoustonTexasUSA
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Lissaman R, Lancaster TM, Parker GD, Graham KS, Lawrence AD, Hodgetts CJ. Tract-specific differences in white matter microstructure between young adult APOE ε4 carriers and non-carriers: A replication and extension study. NEUROIMAGE. REPORTS 2022; 2:None. [PMID: 36507069 PMCID: PMC9726682 DOI: 10.1016/j.ynirp.2022.100126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 08/05/2022] [Accepted: 08/18/2022] [Indexed: 12/15/2022]
Abstract
The parahippocampal cingulum bundle (PHCB) interconnects regions known to be vulnerable to early Alzheimer's disease (AD) pathology, including posteromedial cortex and medial temporal lobe. While AD-related pathology has been robustly associated with alterations in PHCB microstructure, specifically lower fractional anisotropy (FA) and higher mean diffusivity (MD), emerging evidence indicates that the reverse pattern is evident in younger adults at increased risk of AD. In one such study, Hodgetts et al. (2019) reported that healthy young adult carriers of the apolipoprotein-E (APOE) ε4 allele - the strongest common genetic risk factor for AD - showed higher FA and lower MD in the PHCB but not the inferior longitudinal fasciculus (ILF). These results are consistent with proposals claiming that heightened neural activity and intrinsic connectivity play a significant role in increasing posteromedial cortex vulnerability to amyloid-β and tau spread beyond the medial temporal lobe. Given the implications for understanding AD risk, here we sought to replicate Hodgetts et al.'s finding in a larger sample (N = 128; 40 APOE ε4 carriers, 88 APOE ε4 non-carriers) of young adults (age range = 19-33). Extending this work, we also conducted an exploratory analysis using a more advanced measure of white matter microstructure: hindrance modulated orientational anisotropy (HMOA). Contrary to the original study, we did not observe higher FA or lower MD in the PHCB of APOE ε4 carriers relative to non-carriers. Bayes factors (BFs) further revealed moderate-to-strong evidence in support of these null findings. In addition, we observed no APOE ε4-related differences in PHCB HMOA. Our findings indicate that young adult APOE ε4 carriers and non-carriers do not differ in PHCB microstructure, casting some doubt on the notion that early-life variation in PHCB tract microstructure might enhance vulnerability to amyloid-β accumulation and/or tau spread.
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Affiliation(s)
- Rikki Lissaman
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- Douglas Research Centre, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- School of Psychology, University of Bath, Bath, England, United Kingdom
| | - Greg D. Parker
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
| | - Kim S. Graham
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Andrew D. Lawrence
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
| | - Carl J. Hodgetts
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- Department of Psychology, Royal Holloway, University of London, Egham, England, United Kingdom
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7
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Steinberg SN, Tedla NB, Hecht E, Robins DL, King TZ. White matter pathways associated with empathy in females: A DTI investigation. Brain Cogn 2022; 162:105902. [PMID: 36007350 DOI: 10.1016/j.bandc.2022.105902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 07/05/2022] [Accepted: 08/15/2022] [Indexed: 11/02/2022]
Abstract
Empathy is a component of social cognition that allows us to understand, perceive, experience, and respond to the emotional state of others. In this study, we seek to build on previous research that suggests that sex and hormone levels may impact white matter microstructure. These white matter microstructural differences may influence social cognition. We examine the fractional anisotropy (FA) of white matter pathways associated with the complex human process of empathy in healthy young adult females during the self-reported luteal phase of their menstrual cycle. We used tract-based spatial statistics to perform statistical comparisons of FA and conducted multiple linear regression analysis to examine the strength of association between white matter FA and scores on the Empathy Quotient (EQ), a self-report questionnaire in which individuals report how much they agree or disagree with 60 statements pertaining to their empathic tendencies. Results identified a significant negative relationship between EQ scores and FA within five clusters of white matter: in the left forceps minor/body of the corpus callosum, left corticospinal tract, intraparietal sulcus/primary somatosensory cortex, superior longitudinal fasciculus, and right inferior fronto-occipital fasciculus/forceps minor. These consistent findings across clusters suggest that lower self-reported empathy is related to higher FA across healthy young females in specific white matter regions during the menstrual luteal phase. Future research should seek to examine if self-reported empathy varies across the menstrual cycle, using blood samples to confirm cycle phase and hormone levels.
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Affiliation(s)
| | - Neami B Tedla
- Department of Psychology, Georgia State University, Atlanta, GA 30302, USA
| | - Erin Hecht
- Department of Psychology, Georgia State University, Atlanta, GA 30302, USA
| | - Diana L Robins
- Department of Psychology, Georgia State University, Atlanta, GA 30302, USA
| | - Tricia Z King
- Department of Psychology, Georgia State University, Atlanta, GA 30302, USA; Neuroscience Institute, Georgia State University, Atlanta, GA 30302, USA.
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