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Moon HS, Mahzarnia A, Stout J, Anderson RJ, Badea CT, Badea A. Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.13.571574. [PMID: 38168445 PMCID: PMC10760088 DOI: 10.1101/2023.12.13.571574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Alzheimer's disease (AD) remains one of the most extensively researched neurodegenerative disorders due to its widespread prevalence and complex risk factors. Age is a crucial risk factor for AD, which can be estimated by the disparity between physiological age and estimated brain age. To model AD risk more effectively, integrating biological, genetic, and cognitive markers is essential. Here, we utilized mouse models expressing the major APOE human alleles and human nitric oxide synthase 2 to replicate genetic risk for AD and a humanized innate immune response. We estimated brain age employing a multivariate dataset that includes brain connectomes, APOE genotype, subject traits such as age and sex, and behavioral data. Our methodology used Feature Attention Graph Neural Networks (FAGNN) for integrating different data types. Behavioral data were processed with a 2D Convolutional Neural Network (CNN), subject traits with a 1D CNN, brain connectomes through a Graph Neural Network using quadrant attention module. The model yielded a mean absolute error for age prediction of 31.85 days, with a root mean squared error of 41.84 days, outperforming other, reduced models. In addition, FAGNN identified key brain connections involved in the aging process. The highest weights were assigned to the connections between cingulum and corpus callosum, striatum, hippocampus, thalamus, hypothalamus, cerebellum, and piriform cortex. Our study demonstrates the feasibility of predicting brain age in models of aging and genetic risk for AD. To verify the validity of our findings, we compared Fractional Anisotropy (FA) along the tracts of regions with the highest connectivity, the Return-to-Origin Probability (RTOP), Return-to-Plane Probability (RTPP), and Return-to-Axis Probability (RTAP), which showed significant differences between young, middle-aged, and old age groups. Younger mice exhibited higher FA, RTOP, RTAP, and RTPP compared to older groups in the selected connections, suggesting that degradation of white matter tracts plays a critical role in aging and for FAGNN's selections. Our analysis suggests a potential neuroprotective role of APOE2, relative to APOE3 and APOE4, where APOE2 appears to mitigate age-related changes. Our findings highlighted a complex interplay of genetics and brain aging in the context of AD risk modeling.
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Affiliation(s)
- Hae Sol Moon
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Quantitative Imaging and Analysis Laboratory, Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Ali Mahzarnia
- Quantitative Imaging and Analysis Laboratory, Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Jacques Stout
- Quantitative Imaging and Analysis Laboratory, Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Robert J Anderson
- Quantitative Imaging and Analysis Laboratory, Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Cristian T. Badea
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Quantitative Imaging and Analysis Laboratory, Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Alexandra Badea
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Quantitative Imaging and Analysis Laboratory, Department of Radiology, Duke University School of Medicine, Durham, NC, USA
- Brain Imaging and Analysis Center, Duke University School of Medicine, Durham, NC, USA
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
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2
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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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Porat S, Sibilia F, Yoon J, Shi Y, Dahl MJ, Werkle-Bergner M, Düzel S, Bodammer N, Lindenberger U, Kühn S, Mather M. Age Differences in Diffusivity in the Locus Coeruleus and its Ascending Noradrenergic Tract. Neuroimage 2022; 251:119022. [PMID: 35192943 PMCID: PMC9183949 DOI: 10.1016/j.neuroimage.2022.119022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 12/11/2022] Open
Abstract
The noradrenergic locus coeruleus (LC) is a small brainstem nucleus that promotes arousal and attention. Recent studies have examined the microstructural properties of the LC using diffusion-weighted magnetic resonance imaging and found unexpected age-related differences in fractional anisotropy - a measure of white matter integrity. Here, we used two datasets (Berlin Aging Study-II, N = 301, the Leipzig Study for Mind-Body-Emotion Interactions, N = 220), to replicate published findings and expand them by investigating diffusivity in the LC’s ascending noradrenergic bundle. In younger adults, LC fractional anisotropy was significantly lower, compared to older adults. However, in the LC’s ascending noradrenergic bundle, we observed significantly higher fractional anisotropy in younger adults, relative to older adults. These findings indicate that diffusivity in the LC versus the ascending noradrenergic bundle are both susceptible to structural changes in aging that have opposing effects on fractional anisotropy.
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Molloy CJ, Nugent S, Bokde ALW. Alterations in Diffusion Measures of White Matter Integrity Associated with Healthy Aging. J Gerontol A Biol Sci Med Sci 2021; 76:945-954. [PMID: 31830253 DOI: 10.1093/gerona/glz289] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Indexed: 12/12/2022] Open
Abstract
This study aimed to characterize age-related white matter changes by evaluating patterns of overlap between the linear association of age with fractional anisotropy (FA) with mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Specifically, we assessed patterns of overlap between diffusion measures of normal appearing white matter by covarying for white matter hyperintensity (WMH) load, as WMHs are thought to increase with age and impact diffusion measures. Seventy-nine healthy adults aged between 18 and 75 years took part in the study. Diffusion tensor imaging (DTI) data were based on 61 directions acquired with a b-value of 2,000. We found five main patterns of overlap: FA alone (15.95%); FA and RD (31.90%); FA and AD (12.99%); FA, RD, and AD (27.93%); and FA, RD, and MD (8.79%). We showed that cognitively healthy aging adults had low WMH load, which subsequently had minimal effect on diffusion measures. We discuss how patterns of overlap may reflect underlying biological changes observed with aging such as loss of myelination, axonal damage, as well as mild microstructural and chronic white matter impairments. This study contributes to understanding the underlying causes of degeneration in specific regions of the brain and highlights the importance of considering the impact of WMHs in aging studies of white matter.
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Affiliation(s)
- Ciara J Molloy
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
| | - Sinead Nugent
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
| | - Arun L W Bokde
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
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5
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Roy M, Rheault F, Croteau E, Castellano CA, Fortier M, St-Pierre V, Houde JC, Turcotte ÉE, Bocti C, Fulop T, Cunnane SC, Descoteaux M. Fascicle- and Glucose-Specific Deterioration in White Matter Energy Supply in Alzheimer's Disease. J Alzheimers Dis 2021; 76:863-881. [PMID: 32568202 DOI: 10.3233/jad-200213] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND White matter energy supply to oligodendrocytes and the axonal compartment is crucial for normal axonal function. Although gray matter glucose hypometabolism is extensively reported in Alzheimer's disease (AD), glucose and ketones, the brain's two main fuels, are rarely quantified in white matter in AD. OBJECTIVE Using a dual-tracer PET method combined with a fascicle-specific diffusion MRI approach, robust to white matter hyper intensities and crossing fibers, we aimed to quantify both glucose and ketone metabolism in specific white matter fascicles associated with mild cognitive impairment (MCI; n = 51) and AD (n = 13) compared to cognitively healthy age-matched controls (Controls; n = 14). METHODS Eight white matter fascicles of the limbic lobe and corpus callosum were extracted and analyzed into fascicle profiles of five sections. Glucose (18F-fluorodeoxyglucose) and ketone (11C-acetoacetate) uptake rates, corrected for partial volume effect, were calculated along each fascicle. RESULTS The only fascicle with significantly lower glucose uptake in AD compared to Controls was the left posterior cingulate segment of the cingulum (-22%; p = 0.016). Non-significantly lower glucose uptake in this fascicle was also observed in MCI. In contrast to glucose, ketone uptake was either unchanged or higher in sections of the fornix and parahippocampal segment of the cingulum in AD. CONCLUSION To our knowledge, this is the first report of brain fuel uptake calculated along white matter fascicles in humans. Energetic deterioration in white matter in AD appears to be specific to glucose and occurs first in the posterior cingulum.
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Affiliation(s)
- Maggie Roy
- Research Center on Aging, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada.,Department of Pharmacology and Physiology, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - François Rheault
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Etienne Croteau
- CR-CHUS, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada.,Sherbrooke Molecular Imaging Center, Université de Sherbrooke, Sherbrooke, QC, Canada
| | | | - Mélanie Fortier
- Research Center on Aging, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada
| | - Valérie St-Pierre
- Research Center on Aging, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada
| | | | - Éric E Turcotte
- CR-CHUS, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada.,Sherbrooke Molecular Imaging Center, Université de Sherbrooke, Sherbrooke, QC, Canada.,Department of Nuclear Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada.,Department of Radiobiology, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Christian Bocti
- Research Center on Aging, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Tamas Fulop
- Research Center on Aging, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Stephen C Cunnane
- Research Center on Aging, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada.,Department of Pharmacology and Physiology, Université de Sherbrooke, Sherbrooke, QC, Canada.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Maxime Descoteaux
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
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6
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Diffusion tensor imaging of the corpus callosum in healthy aging: Investigating higher order polynomial regression modelling. Neuroimage 2020; 213:116675. [PMID: 32112960 DOI: 10.1016/j.neuroimage.2020.116675] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 02/19/2020] [Accepted: 02/20/2020] [Indexed: 12/21/2022] Open
Abstract
Previous diffusion tensor imaging (DTI) studies confirmed the vulnerability of corpus callosum (CC) fibers to aging. However, most studies employed lower order regressions to study the relationship between age and white matter microstructure. The present study investigated whether higher order polynomial regression modelling can better describe the relationship between age and CC DTI metrics compared to lower order models in 140 healthy participants (ages 18-85). The CC was found to be non-uniformly affected by aging, with accelerated and earlier degradation occurring in anterior portion; callosal volume, fiber count, fiber length, mean fibers per voxel, and FA decreased with age while mean, axial, and radial diffusivities increased. Half of the parameters studied also displayed significant age-sex interaction or intracranial volume effects. Higher order models were chosen as the best fit, based on Bayesian Information Criterion minimization, in 16 out of 23 significant cases when describing the relationship between DTI measurements and age. Higher order model fits provided different estimations of aging trajectory peaks and decline onsets than lower order models; however, a likelihood ratio test found that higher order regressions generally did not fit the data significantly better than lower order polynomial or linear models. The results contrast the modelling approaches and highlight the importance of using higher order polynomial regression modelling when investigating associations between age and CC white matter microstructure.
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Cui Y, Tang TY, Lu CQ, Cai Y, Lu T, Wang YC, Teng GJ, Ju S. Abnormal Cingulum Bundle Induced by Type 2 Diabetes Mellitus: A Diffusion Tensor Tractography Study. Front Aging Neurosci 2020; 12:594198. [PMID: 33384593 PMCID: PMC7771529 DOI: 10.3389/fnagi.2020.594198] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 11/16/2020] [Indexed: 01/29/2023] Open
Abstract
Purpose: In Type 2 diabetes (T2DM), white matter (WM) pathology has been suggested to play an important role in the etiology of T2DM-related cognitive impairment. This study aims to investigate the integrity of the cingulum bundle (CB), a major WM tract, in T2DM patients using diffusion tensor tractography. Methods: Thirty-seven T2DM patients and 34 age-, sex- and education matched healthy controls were included and underwent diffusion tensor imaging. Tractography of bilateral CB tracts was performed and diffusion measurements were compared between the two groups. Next, brain regions with significant group differences on fractional anisotropy (FA) values were set as the region of interest (ROI), and the CB fibers that passed through were identified. Diffusion measures were extracted from these fibers to investigate their correlations with the cognitive performances and endocrine parameters. Results: T2DM patients exhibited decreased FA in bilateral CB, increased mean diffusion (MD) in the right CB, and decreased length in the left CB. Through voxel-wise comparison, the most prominent FA difference was identified in the posterior segment of the CB and the reconstructed tract was part of the retrosplenial component. Importantly, the diffusion measurements of the tract were significantly correlated with the impaired performance in executive functioning and elevated insulin resistance (IR) in the T2DM group, instead of the control group. Conclusions: The diffusion measurements in bilateral CB were altered in T2DM patients, which might reflect important neuropathologic changes in the fibers. Our study adds to knowledge about how the cingulum changes structurally along its entire length in T2DM and highlights the relationship between WM and cognitive performance. Besides, IR might be an important risk factor that warrants further exploration.
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Affiliation(s)
- Ying Cui
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Tian-Yu Tang
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Chun-Qiang Lu
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yu Cai
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Tong Lu
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yuan-Cheng Wang
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Gao-Jun Teng
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Shenghong Ju
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- *Correspondence: Shenghong Ju
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Gilligan TM, Sibilia F, Farrell D, Lyons D, Kennelly SP, Bokde ALW. No relationship between fornix and cingulum degradation and within-network decreases in functional connectivity in prodromal Alzheimer's disease. PLoS One 2019; 14:e0222977. [PMID: 31581245 PMCID: PMC6776361 DOI: 10.1371/journal.pone.0222977] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 09/11/2019] [Indexed: 01/24/2023] Open
Abstract
INTRODUCTION The earliest changes in the brain due to Alzheimer's disease are associated with the neural networks related to memory function. We investigated changes in functional and structural connectivity among regions that support memory function in prodromal Alzheimer's disease, i.e., during the mild cognitive impairment (MCI) stage. METHODS Twenty-three older healthy controls and 25 adults with MCI underwent multimodal MRI scanning. Limbic white matter tracts-the fornix, parahippocampal cingulum, retrosplenial cingulum, subgenual cingulum and uncinate fasciculus-were reconstructed in ExploreDTI using constrained spherical deconvolution-based tractography. Using a network-of-interest approach, resting-state functional connectivity time-series correlations among sub-parcellations of the default mode and limbic networks, the hippocampus and the thalamus were calculated in Conn. ANALYSIS Controlling for age, education, and gender between group linear regressions of five diffusion-weighted measures and of resting state connectivity measures were performed per hemisphere. FDR-corrections were performed within each class of measures. Correlations of within-network Fisher Z-transformed correlation coefficients and the mean diffusivity per tract were performed. Whole-brain graph theory measures of cluster coefficient and average path length were inspecting using the resting state data. RESULTS & CONCLUSION MCI-related changes in white matter structure were found in the fornix, left parahippocampal cingulum, left retrosplenial cingulum and left subgenual cingulum. Functional connectivity decreases were observed in the MCI group within the DMN-a sub-network, between the hippocampus and sub-areas -a and -c of the DMN, between DMN-c and DMN-a, and, in the right hemisphere only between DMN-c and both the thalamus and limbic-a. No relationships between white matter tract 'integrity' (mean diffusivity) and within sub-network functional connectivity were found. Graph theory revealed that changes in the MCI group was mostly restricted to diminished between-neighbour connections of the hippocampi and of nodes within DMN-a and DMN-b.
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Affiliation(s)
- Therese M. Gilligan
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Francesca Sibilia
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Dervla Farrell
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Declan Lyons
- St Patrick’s University Hospital, Dublin, Ireland
| | - Seán P. Kennelly
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Memory Assessment and Support Service, Department of Age-related Healthcare, Tallaght University Hospital, Dublin, Ireland
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
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Versace A, Graur S, Greenberg T, Lima Santos JP, Chase HW, Bonar L, Stiffler RS, Hudak R, Kim T, Yendiki A, Greenberg B, Rasmussen S, Liu H, Haber S, Phillips ML. Reduced focal fiber collinearity in the cingulum bundle in adults with obsessive-compulsive disorder. Neuropsychopharmacology 2019; 44:1182-1188. [PMID: 30802896 PMCID: PMC6784994 DOI: 10.1038/s41386-019-0353-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 01/17/2019] [Accepted: 02/04/2019] [Indexed: 12/31/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a disabling condition, often associated with a chronic course. Given its role in attentional control, decision-making, and emotional regulation, the anterior cingulate cortex is considered to have a key role in the pathophysiology of the disorder. Notably, the cingulum bundle, being the major white matter tract connecting to this region, has been historically a target for the surgical treatment of intractable OCD. In this study, we aimed to identify the extent to which focal-more than diffuse-abnormalities in fiber collinearity of the cingulum bundle could distinguish 48 adults with OCD (mean age [SD] = 23.3 [4.5] years; F/M = 30/18) from 45 age- and sex-matched healthy control adults (CONT; mean age [SD] = 23.2 [3.8] years; F/M = 28/17) and further examine if these abnormalities correlated with symptom severity. Use of tract-profiles rather than a conventional diffusion imaging approach allowed us to characterize white matter microstructural properties along (100 segments), as opposed to averaging these measures across, the entire tract. To account for these 100 different segments of the cingulum bundle, a repeated measures analysis of variance revealed a main effect of group (OCD < CONT; F[1,87] = 5.3; P = 0.024) upon fractional anisotropy (FA, a measure of fiber collinearity and/or white matter integrity), in the cingulum bundle, bilaterally. Further analyses revealed that these abnormalities were focal (middle portion) within the left and right cingulum bundle, although did not correlate with symptom severity in OCD. Findings indicate that focal abnormalities in connectivity between the anterior cingulate cortex and other prefrontal cortical regions may represent neural mechanisms of OCD.
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Affiliation(s)
- A. Versace
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - S. Graur
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - T. Greenberg
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - J. P. Lima Santos
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - H. W. Chase
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - L. Bonar
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - R. S. Stiffler
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - R. Hudak
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - Tae Kim
- 0000 0004 1936 9000grid.21925.3dDepartment of Radiology, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
| | - A. Yendiki
- 000000041936754Xgrid.38142.3cAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - B. Greenberg
- 0000 0004 0420 4094grid.413904.bDepartment of Psychiatry and Human Behavior, Brown Medical School, Butler Hospital and Providence VA Medical Center, Providence, RI USA
| | - S. Rasmussen
- 0000 0004 0420 4094grid.413904.bDepartment of Psychiatry and Human Behavior, Brown Medical School, Butler Hospital and Providence VA Medical Center, Providence, RI USA
| | - H. Liu
- 000000041936754Xgrid.38142.3cAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - S. Haber
- 0000 0004 1936 9166grid.412750.5Department of Pharmacology and Physiology, University of Rochester Medical Center, Rochester, NY 14642 USA
| | - M. L. Phillips
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA USA
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Hyde C, Fuelscher I, Enticott PG, Jones DK, Farquharson S, Silk TJ, Williams J, Caeyenberghs K. White matter organization in developmental coordination disorder: A pilot study exploring the added value of constrained spherical deconvolution. NEUROIMAGE-CLINICAL 2018; 21:101625. [PMID: 30552074 PMCID: PMC6411781 DOI: 10.1016/j.nicl.2018.101625] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 11/13/2018] [Accepted: 12/01/2018] [Indexed: 12/13/2022]
Abstract
Previous studies of white matter organization in sensorimotor tracts in developmental coordination disorder (DCD) have adopted diffusion tensor imaging (DTI), a method unable to reconcile pathways with ‘crossing fibres’. In response to limitations of the commonly adopted DTI approach, the present study employed a framework that can reconcile the ‘crossing fibre’ problem (i.e., constrained spherical deconvolution- CSD) to characterize white matter tissue organization of sensorimotor tracts in young adults with DCD. Participants were 19 healthy adults aged 18–46: 7 met diagnostic criteria for DCD (4 females) and 12 were controls (3 females). All underwent high angular diffusion MRI. After preprocessing, the left and right corticospinal tracts (CST) and superior longitudinal fasciculi (SLF) were delineated and all tracts were then generated using both CSD and DTI tractography respectively. Based on the CSD model, individuals with DCD demonstrated significantly decreased mean apparent fibre density (AFD) in the left SLF relative to controls (with large effect size, Cohen's d = 1.32) and a trend for decreased tract volume of the right SLF (with medium-large effect size, Cohen's d = 0.73). No differences in SLF microstructure were found between groups using DTI, nor were differences in CST microstructure observed across groups regardless of hemisphere or diffusion model. Our data are consistent with the view that motor impairment characteristic of DCD may be subserved by white matter abnormalities in sensorimotor tracts, specifically the left and right SLF. Our data further highlight the benefits of higher order diffusion MRI (e.g. CSD) relative to DTI for clarifying earlier inconsistencies in reports speaking to white matter organization in DCD, and its contribution to poor motor skill in DCD. All previous diffusion studies of white matter in DCD have employed a tensor model We employed a non-tensor model to characterize microstructure in adults with DCD The non-tensor model showed atypical white matter organization in the SLF in DCD The tensor model failed to detect microstructural group differences for any tract Motor impairment characteristic of DCD may be subserved by white matter abnormalities
We need to move beyond the tensor model in characterizing white matter in DCD
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Affiliation(s)
- Christian Hyde
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia.
| | - Ian Fuelscher
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Peter G Enticott
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Neuroscience and Mental Health Research Institute, Cardiff University, UK; Mary MacKillop Institute for Health Research, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia
| | - Shawna Farquharson
- Melbourne Brain Centre Imaging Unit, Department of Anatomy and Neuroscience, The University of Melbourne, Melbourne, Australia; Imaging Division, Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Melbourne, Australia
| | - Tim J Silk
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia; Developmental Imaging, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Jacqueline Williams
- Institute for Health and Sport, College of Sport and Exercise Science, Victoria University, Melbourne, Australia
| | - Karen Caeyenberghs
- Mary MacKillop Institute for Health Research, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia
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11
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Bubb EJ, Metzler-Baddeley C, Aggleton JP. The cingulum bundle: Anatomy, function, and dysfunction. Neurosci Biobehav Rev 2018; 92:104-127. [PMID: 29753752 PMCID: PMC6090091 DOI: 10.1016/j.neubiorev.2018.05.008] [Citation(s) in RCA: 428] [Impact Index Per Article: 71.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 05/01/2018] [Accepted: 05/04/2018] [Indexed: 12/16/2022]
Abstract
The cingulum bundle is a prominent white matter tract that interconnects frontal, parietal, and medial temporal sites, while also linking subcortical nuclei to the cingulate gyrus. Despite its apparent continuity, the cingulum's composition continually changes as fibres join and leave the bundle. To help understand its complex structure, this review begins with detailed, comparative descriptions of the multiple connections comprising the cingulum bundle. Next, the impact of cingulum bundle damage in rats, monkeys, and humans is analysed. Despite causing extensive anatomical disconnections, cingulum bundle lesions typically produce only mild deficits, highlighting the importance of parallel pathways and the distributed nature of its various functions. Meanwhile, non-invasive imaging implicates the cingulum bundle in executive control, emotion, pain (dorsal cingulum), and episodic memory (parahippocampal cingulum), while clinical studies reveal cingulum abnormalities in numerous conditions, including schizophrenia, depression, post-traumatic stress disorder, obsessive compulsive disorder, autism spectrum disorder, Mild Cognitive Impairment, and Alzheimer's disease. Understanding the seemingly diverse contributions of the cingulum will require better ways of isolating pathways within this highly complex tract.
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Affiliation(s)
- Emma J Bubb
- School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, Wales, UK
| | | | - John P Aggleton
- School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, Wales, UK.
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