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Zhu AH, Nir TM, Javid S, Villalon-Reina JE, Rodrigue AL, Strike LT, de Zubicaray GI, McMahon KL, Wright MJ, Medland SE, Blangero J, Glahn DC, Kochunov P, Håberg AK, Thompson PM, Jahanshad N. Lifespan reference curves for harmonizing multi-site regional brain white matter metrics from diffusion MRI. bioRxiv 2024:2024.02.22.581646. [PMID: 38463962 PMCID: PMC10925090 DOI: 10.1101/2024.02.22.581646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Age-related white matter (WM) microstructure maturation and decline occur throughout the human lifespan, complementing the process of gray matter development and degeneration. Here, we create normative lifespan reference curves for global and regional WM microstructure by harmonizing diffusion MRI (dMRI)-derived data from ten public datasets (N = 40,898 subjects; age: 3-95 years; 47.6% male). We tested three harmonization methods on regional diffusion tensor imaging (DTI) based fractional anisotropy (FA), a metric of WM microstructure, extracted using the ENIGMA-DTI pipeline. ComBat-GAM harmonization provided multi-study trajectories most consistent with known WM maturation peaks. Lifespan FA reference curves were validated with test-retest data and used to assess the effect of the ApoE4 risk factor for dementia in WM across the lifespan. We found significant associations between ApoE4 and FA in WM regions associated with neurodegenerative disease even in healthy individuals across the lifespan, with regional age-by-genotype interactions. Our lifespan reference curves and tools to harmonize new dMRI data to the curves are publicly available as eHarmonize (https://github.com/ahzhu/eharmonize).
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Affiliation(s)
- Alyssa H Zhu
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
- Department of Biomedical Engineering, USC Viterbi School of Engineering, Los Angeles, CA, USA
| | - Talia M Nir
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Shayan Javid
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
- Department of Biomedical Engineering, USC Viterbi School of Engineering, Los Angeles, CA, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Amanda L Rodrigue
- Department of Psychiatry and Behavioral Science, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lachlan T Strike
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Queensland University of Technology, Brisbane, QLD, Australia
| | | | - Katie L McMahon
- Queensland University of Technology, Brisbane, QLD, Australia
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Queensland University of Technology, Brisbane, QLD, Australia
- School of Psychology, `, Brisbane, QLD, Australia
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - David C Glahn
- Department of Psychiatry and Behavioral Science, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
| | - Peter Kochunov
- Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of MiDtT National Research Center, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Paul M Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
- Department of Biomedical Engineering, USC Viterbi School of Engineering, Los Angeles, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
- Department of Biomedical Engineering, USC Viterbi School of Engineering, Los Angeles, CA, USA
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2
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Feng Y, Chandio BQ, Villalon-Reina JE, Benavidez S, Chattopadhyay T, Chehrzadeh S, Laltoo E, Thomopoulos SI, Joshi H, Venkatasubramanian G, John JP, Jahanshad N, Thompson PM. Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease. bioRxiv 2024:2024.02.05.578943. [PMID: 38370817 PMCID: PMC10871218 DOI: 10.1101/2024.02.05.578943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
This study introduces the Deep Normative Tractometry (DNT) framework, that encodes the joint distribution of both macrostructural and microstructural profiles of the brain white matter tracts through a variational autoencoder (VAE). By training on data from healthy controls, DNT learns the normative distribution of tract data, and can delineate along-tract micro-and macro-structural abnormalities. Leveraging a large sample size via generative pre-training, we assess DNT's generalizability using transfer learning on data from an independent cohort acquired in India. Our findings demonstrate DNT's capacity to detect widespread diffusivity abnormalities along tracts in mild cognitive impairment and Alzheimer's disease, aligning closely with results from the Bundle Analytics (BUAN) tractometry pipeline. By incorporating tract geometry information, DNT may be able to distinguish disease-related abnormalities in anisotropy from tract macrostructure, and shows promise in enhancing fine-scale mapping and detection of white matter alterations in neurodegenerative conditions.
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Affiliation(s)
- Yixue Feng
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Bramsh Q Chandio
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Sebastian Benavidez
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Tamoghna Chattopadhyay
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Sasha Chehrzadeh
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Emily Laltoo
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Himanshu Joshi
- Multimodal Brain Image Analysis Laboratory, Translational Psychiatry Laboratory, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Ganesan Venkatasubramanian
- Multimodal Brain Image Analysis Laboratory, Translational Psychiatry Laboratory, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - John P John
- Multimodal Brain Image Analysis Laboratory, Translational Psychiatry Laboratory, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
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3
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Villalon-Reina JE, Nir TM, Nourollahimoghadam E, Dhinagar N, Jahanshad N, Thompson PM, Henriques RN. Evaluating Fiber Orientation Dispersion Measures Computed From Single-Shell Diffusion MRI. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-6. [PMID: 38083769 DOI: 10.1109/embc40787.2023.10340067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Fiber orientation dispersion is one of the fundamental features that can be estimated from diffusion magnetic resonance imaging (dMRI) of the brain. Several approaches have been proposed to estimate dispersion from single- and multi-shell dMRI acquisitions. Here, we derive solutions to bring these proposed methods to a standard orientation dispersion index (ODI) with the goal of making them comparable across different dMRI acquisitions. To illustrate the utility of the measures in studying brain aging, we further examined the age-dependent trajectory of the different single- and multi-shell ODI estimates in the white matter across the lifespan.Clinical Relevance- This work computes metrics of brain microstructure that can be adapted for large neuroimaging initiatives that aim to study the brain's development and aging, and to identify deviations that may serve as biomarkers of brain disease.
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Nir TM, Zhu AH, Gari IB, Dixon D, Islam T, Villalon-Reina JE, Medland SE, Thompson PM, Jahanshad N. Effects of ApoE4 and ApoE2 genotypes on subcortical magnetic susceptibility and microstructure in 27,535 participants from the UK Biobank. Pac Symp Biocomput 2022; 27:121-132. [PMID: 34890142 PMCID: PMC9009383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Disrupted iron homeostasis is associated with several neurodegenerative diseases, including Alzheimer's disease (AD), and may be partially modulated by genetic risk factors. Here we evaluated whether subcortical iron deposition is associated with ApoE genotype, which substantially affects risk for late-onset AD. We evaluated differences in subcortical quantitative susceptibility mapping (QSM), a type of MRI sensitive to cerebral iron deposition, between either ApoE4 (E3E4+E4E4) or ApoE2 (E2E3+E2E2) carriers and E3 homozygotes (E3E3) in 27,535 participants from the UK Biobank (age: 45-82 years). We found that ApoE4 carriers had higher hippocampal (d=0.036; p=0.012) and amygdalar (d=0.035; p=0.013) magnetic susceptibility, particularly individuals aged 65 years or older, while those carrying ApoE2 (which protects against AD) had higher QSM only in the hippocampus (d=0.05; p=0.006), particularly those under age 65. Secondary diffusion MRI microstructural associations in these regions revealed greater diffusivity and less diffusion restriction in E4 carriers, however no differences were detected in E2 carriers. Disease risk conferred by ApoE4 may be linked with higher subcortical iron burden in conjunction with inflammation or neuronal loss in aging individuals, while ApoE2 associations may not necessarily reflect unhealthy iron deposits earlier in life.
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Affiliation(s)
- Talia M Nir
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, 90292, USA,
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5
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Seitz-Holland J, Lyons M, Kushan L, Lin A, Villalon-Reina JE, Cho KIK, Zhang F, Billah T, Bouix S, Kubicki M, Bearden CE, Pasternak O. Opposing white matter microstructure abnormalities in 22q11.2 deletion and duplication carriers. Transl Psychiatry 2021; 11:580. [PMID: 34759270 PMCID: PMC8581007 DOI: 10.1038/s41398-021-01703-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 09/30/2021] [Accepted: 10/15/2021] [Indexed: 12/20/2022] Open
Abstract
Deletions and duplications at the 22q11.2 locus are associated with significant neurodevelopmental and psychiatric morbidity. Previous diffusion-weighted magnetic resonance imaging (MRI) studies in 22q11.2 deletion carriers (22q-del) found nonspecific white matter (WM) abnormalities, characterized by higher fractional anisotropy. Here, utilizing novel imaging and processing methods that allow separation of signal contribution from different tissue properties, we investigate whether higher anisotropy is driven by (1) extracellular changes, (2) selective degeneration of secondary fibers, or (3) volumetric differences. We further, for the first time, investigate WM microstructure in 22q11.2 duplication carriers (22q-dup). Multi-shell diffusion-weighted images were acquired from 26 22q-del, 19 22q-dup, and 18 healthy individuals (HC). Images were fitted with the free-water model to estimate anisotropy following extracellular free-water elimination and with the novel BedpostX model to estimate fractional volumes of primary and secondary fiber populations. Outcome measures were compared between groups, with and without correction for WM and cerebrospinal fluid (CSF) volumes. In 22q-del, anisotropy following free-water elimination remained significantly higher compared with controls. BedpostX did not identify selective secondary fiber degeneration. Higher anisotropy diminished when correcting for the higher CSF and lower WM volumes. In contrast, 22q-dup had lower anisotropy and greater extracellular space than HC, not influenced by macrostructural volumes. Our findings demonstrate opposing effects of reciprocal 22q11.2 copy-number variation on WM, which may arise from distinct pathologies. In 22q-del, microstructural abnormalities may be secondary to enlarged CSF space and more densely packed WM. In 22q-dup, we see evidence for demyelination similar to what is commonly observed in neuropsychiatric disorders.
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Affiliation(s)
- Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA.
| | - Monica Lyons
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Leila Kushan
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Amy Lin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Julio E Villalon-Reina
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Kang Ik Kevin Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Sylvain Bouix
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, 90095, CA, USA
- Department of Psychology, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
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6
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Lawrence KE, Nabulsi L, Santhalingam V, Abaryan Z, Villalon-Reina JE, Nir TM, Ba Gari I, Zhu AH, Haddad E, Muir AM, Laltoo E, Jahanshad N, Thompson PM. Age and sex effects on advanced white matter microstructure measures in 15,628 older adults: A UK biobank study. Brain Imaging Behav 2021; 15:2813-2823. [PMID: 34537917 PMCID: PMC8761720 DOI: 10.1007/s11682-021-00548-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2021] [Indexed: 12/19/2022]
Abstract
A comprehensive characterization of the brain’s white matter is critical for improving our understanding of healthy and diseased aging. Here we used diffusion-weighted magnetic resonance imaging (dMRI) to estimate age and sex effects on white matter microstructure in a cross-sectional sample of 15,628 adults aged 45–80 years old (47.6% male, 52.4% female). Microstructure was assessed using the following four models: a conventional single-shell model, diffusion tensor imaging (DTI); a more advanced single-shell model, the tensor distribution function (TDF); an advanced multi-shell model, neurite orientation dispersion and density imaging (NODDI); and another advanced multi-shell model, mean apparent propagator MRI (MAPMRI). Age was modeled using a data-driven statistical approach, and normative centile curves were created to provide sex-stratified white matter reference charts. Participant age and sex substantially impacted many aspects of white matter microstructure across the brain, with the advanced dMRI models TDF and NODDI detecting such effects the most sensitively. These findings and the normative reference curves provide an important foundation for the study of healthy and diseased brain aging.
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Affiliation(s)
- Katherine E Lawrence
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Vigneshwaran Santhalingam
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Zvart Abaryan
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Talia M Nir
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Iyad Ba Gari
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Alyssa H Zhu
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Elizabeth Haddad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Alexandra M Muir
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Emily Laltoo
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA.
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7
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Forsyth JK, Mennigen E, Lin A, Sun D, Vajdi A, Kushan-Wells L, Ching CRK, Villalon-Reina JE, Thompson PM, Bearden CE. Prioritizing Genetic Contributors to Cortical Alterations in 22q11.2 Deletion Syndrome Using Imaging Transcriptomics. Cereb Cortex 2021; 31:3285-3298. [PMID: 33638978 PMCID: PMC8196250 DOI: 10.1093/cercor/bhab008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 03/13/2020] [Accepted: 05/02/2020] [Indexed: 11/25/2022] Open
Abstract
22q11.2 deletion syndrome (22q11DS) results from a hemizygous deletion that typically spans 46 protein-coding genes and is associated with widespread alterations in brain morphology. The specific genetic mechanisms underlying these alterations remain unclear. In the 22q11.2 ENIGMA Working Group, we characterized cortical alterations in individuals with 22q11DS (n = 232) versus healthy individuals (n = 290) and conducted spatial convergence analyses using gene expression data from the Allen Human Brain Atlas to prioritize individual genes that may contribute to altered surface area (SA) and cortical thickness (CT) in 22q11DS. Total SA was reduced in 22q11DS (Z-score deviance = -1.04), with prominent reductions in midline posterior and lateral association regions. Mean CT was thicker in 22q11DS (Z-score deviance = +0.64), with focal thinning in a subset of regions. Regional expression of DGCR8 was robustly associated with regional severity of SA deviance in 22q11DS; AIFM3 was also associated with SA deviance. Conversely, P2RX6 was associated with CT deviance. Exploratory analysis of gene targets of microRNAs previously identified as down-regulated due to DGCR8 deficiency suggested that DGCR8 haploinsufficiency may contribute to altered corticogenesis in 22q11DS by disrupting cell cycle modulation. These findings demonstrate the utility of combining neuroanatomic and transcriptomic datasets to derive molecular insights into complex, multigene copy number variants.
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Affiliation(s)
- Jennifer K Forsyth
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA 90024, USA
| | - Eva Mennigen
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA 90024, USA
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
| | - Amy Lin
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA 90024, USA
- Interdepartmental Neuroscience Program, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Daqiang Sun
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA 90024, USA
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA
| | - Ariana Vajdi
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA 90024, USA
| | - Leila Kushan-Wells
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA 90024, USA
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA 90024, USA
- Brain Research Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA 90095, USA
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8
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Sun D, Ching CRK, Lin A, Forsyth JK, Kushan L, Vajdi A, Jalbrzikowski M, Hansen L, Villalon-Reina JE, Qu X, Jonas RK, van Amelsvoort T, Bakker G, Kates WR, Antshel KM, Fremont W, Campbell LE, McCabe KL, Daly E, Gudbrandsen M, Murphy CM, Murphy D, Craig M, Vorstman J, Fiksinski A, Koops S, Ruparel K, Roalf DR, Gur RE, Schmitt JE, Simon TJ, Goodrich-Hunsaker NJ, Durdle CA, Bassett AS, Chow EWC, Butcher NJ, Vila-Rodriguez F, Doherty J, Cunningham A, van den Bree MB, Linden DEJ, Moss H, Owen MJ, Murphy KC, McDonald-McGinn DM, Emanuel B, van Erp TGM, Turner JA, Thompson PM, Bearden CE. Large-scale mapping of cortical alterations in 22q11.2 deletion syndrome: Convergence with idiopathic psychosis and effects of deletion size. Mol Psychiatry 2020; 25:1822-1834. [PMID: 29895892 PMCID: PMC6292748 DOI: 10.1038/s41380-018-0078-5] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 04/15/2018] [Accepted: 04/23/2018] [Indexed: 11/11/2022]
Abstract
The 22q11.2 deletion (22q11DS) is a common chromosomal microdeletion and a potent risk factor for psychotic illness. Prior studies reported widespread cortical changes in 22q11DS, but were generally underpowered to characterize neuroanatomic abnormalities associated with psychosis in 22q11DS, and/or neuroanatomic effects of variability in deletion size. To address these issues, we developed the ENIGMA (Enhancing Neuro Imaging Genetics Through Meta-Analysis) 22q11.2 Working Group, representing the largest analysis of brain structural alterations in 22q11DS to date. The imaging data were collected from 10 centers worldwide, including 474 subjects with 22q11DS (age = 18.2 ± 8.6; 46.9% female) and 315 typically developing, matched controls (age = 18.0 ± 9.2; 45.9% female). Compared to controls, 22q11DS individuals showed thicker cortical gray matter overall (left/right hemispheres: Cohen's d = 0.61/0.65), but focal thickness reduction in temporal and cingulate cortex. Cortical surface area (SA), however, showed pervasive reductions in 22q11DS (left/right hemispheres: d = -1.01/-1.02). 22q11DS cases vs. controls were classified with 93.8% accuracy based on these neuroanatomic patterns. Comparison of 22q11DS-psychosis to idiopathic schizophrenia (ENIGMA-Schizophrenia Working Group) revealed significant convergence of affected brain regions, particularly in fronto-temporal cortex. Finally, cortical SA was significantly greater in 22q11DS cases with smaller 1.5 Mb deletions, relative to those with typical 3 Mb deletions. We found a robust neuroanatomic signature of 22q11DS, and the first evidence that deletion size impacts brain structure. Psychotic illness in this highly penetrant deletion was associated with similar neuroanatomic abnormalities to idiopathic schizophrenia. These consistent cross-site findings highlight the homogeneity of this single genetic etiology, and support the suitability of 22q11DS as a biological model of schizophrenia.
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Affiliation(s)
- Daqiang Sun
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA ,0000 0001 0384 5381grid.417119.bDepartment of Mental Health, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA USA
| | - Christopher R. K. Ching
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA ,0000 0001 2156 6853grid.42505.36Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA ,0000 0000 9632 6718grid.19006.3eInterdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, CA USA
| | - Amy Lin
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA ,0000 0000 9632 6718grid.19006.3eInterdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, CA USA
| | - Jennifer K. Forsyth
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA ,0000 0000 9632 6718grid.19006.3eDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA USA
| | - Leila Kushan
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA
| | - Ariana Vajdi
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA
| | - Maria Jalbrzikowski
- 0000 0004 1936 9000grid.21925.3dDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA USA
| | - Laura Hansen
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA
| | - Julio E. Villalon-Reina
- 0000 0001 2156 6853grid.42505.36Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - Xiaoping Qu
- 0000 0001 2156 6853grid.42505.36Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - Rachel K. Jonas
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA ,0000 0000 9632 6718grid.19006.3eInterdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, CA USA
| | - Therese van Amelsvoort
- 0000 0001 0481 6099grid.5012.6Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Geor Bakker
- 0000 0001 0481 6099grid.5012.6Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Wendy R. Kates
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, State University of New York, Upstate Medical University, Syracuse, NY USA
| | - Kevin M. Antshel
- 0000 0001 2189 1568grid.264484.8Department of Psychology, Syracuse University, Syracuse, NY USA
| | - Wanda Fremont
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, State University of New York, Upstate Medical University, Syracuse, NY USA
| | - Linda E. Campbell
- 0000 0000 8831 109Xgrid.266842.cPRC GrowUpWell, University of Newcastle, Newcastle, Australia ,0000 0000 8831 109Xgrid.266842.cSchool of Psychology, University of Newcastle, Newcastle, Australia
| | - Kathryn L. McCabe
- 0000 0000 8831 109Xgrid.266842.cSchool of Psychology, University of Newcastle, Newcastle, Australia ,0000 0004 1936 9684grid.27860.3bUC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA
| | - Eileen Daly
- 0000 0001 2322 6764grid.13097.3cSackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Maria Gudbrandsen
- 0000 0001 2322 6764grid.13097.3cSackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Clodagh M. Murphy
- 0000 0001 2322 6764grid.13097.3cSackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK ,0000 0004 0581 2008grid.451052.7Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley Foundation NHS Trust, London, UK
| | - Declan Murphy
- 0000 0001 2322 6764grid.13097.3cSackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK ,0000 0004 0581 2008grid.451052.7Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley Foundation NHS Trust, London, UK
| | - Michael Craig
- 0000 0001 2322 6764grid.13097.3cSackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK ,0000 0004 0581 2008grid.451052.7National Autism Unit, Bethlem Royal Hospital, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley Foundation NHS Trust, London, UK
| | - Jacob Vorstman
- 0000 0004 0473 9646grid.42327.30Hospital for Sick Children, Toronto, ON Canada ,0000000090126352grid.7692.aDepartment of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands ,0000 0001 2157 2938grid.17063.33Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Ania Fiksinski
- 0000 0004 0473 9646grid.42327.30Hospital for Sick Children, Toronto, ON Canada ,0000 0000 8793 5925grid.155956.bClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Psychiatry, University of Toronto, Toronto, ON Canada ,0000 0004 0474 0428grid.231844.8The Dalglish Family 22q Clinic, Department of Psychiatry, and Toronto General Research Institute, University Health Network, Toronto, ON Canada ,0000 0000 8793 5925grid.155956.bCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada
| | - Sanne Koops
- 0000000090126352grid.7692.aDepartment of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kosha Ruparel
- 0000 0001 0680 8770grid.239552.aDepartment of Psychiatry, University of Pennsylvania, and the Lifespan Brain Institute, Penn Medicine and the Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - David R. Roalf
- 0000 0001 0680 8770grid.239552.aDepartment of Psychiatry, University of Pennsylvania, and the Lifespan Brain Institute, Penn Medicine and the Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Raquel E. Gur
- 0000 0004 1936 8972grid.25879.31Department of Radiology, Division of Neuroradiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA ,0000 0001 0680 8770grid.239552.aDepartment of Psychiatry, University of Pennsylvania, and the Lifespan Brain Institute, Penn Medicine and the Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - J. Eric Schmitt
- 0000 0004 1936 8972grid.25879.31Department of Radiology, Division of Neuroradiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA ,0000 0001 0680 8770grid.239552.aDepartment of Psychiatry, University of Pennsylvania, and the Lifespan Brain Institute, Penn Medicine and the Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Tony J. Simon
- 0000 0004 1936 9684grid.27860.3bUC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA
| | - Naomi J. Goodrich-Hunsaker
- 0000 0004 1936 9684grid.27860.3bUC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA ,0000 0004 1936 9115grid.253294.bDepartment of Psychology, Brigham Young University, Provo, UT USA
| | - Courtney A. Durdle
- 0000 0004 1936 9684grid.27860.3bUC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA
| | - Anne S. Bassett
- 0000 0000 8793 5925grid.155956.bClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Psychiatry, University of Toronto, Toronto, ON Canada ,0000 0004 0474 0428grid.231844.8The Dalglish Family 22q Clinic, Department of Psychiatry, and Toronto General Research Institute, University Health Network, Toronto, ON Canada ,0000 0000 8793 5925grid.155956.bCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada
| | - Eva W. C. Chow
- 0000 0000 8793 5925grid.155956.bClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Nancy J. Butcher
- 0000 0004 0473 9646grid.42327.30Hospital for Sick Children, Toronto, ON Canada ,0000 0000 8793 5925grid.155956.bClinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario Canada
| | - Fidel Vila-Rodriguez
- 0000 0001 2288 9830grid.17091.3eDepartment of Psychiatry, University of British Columbia, Vancouver, British Columbia Canada
| | - Joanne Doherty
- 0000 0001 0807 5670grid.5600.3MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Adam Cunningham
- 0000 0001 0807 5670grid.5600.3MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Marianne B.M. van den Bree
- 0000 0001 0807 5670grid.5600.3MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - David E. J. Linden
- 0000 0001 0807 5670grid.5600.3MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Hayley Moss
- 0000 0001 0807 5670grid.5600.3MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Michael J. Owen
- 0000 0001 0807 5670grid.5600.3MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Kieran C. Murphy
- 0000 0004 0488 7120grid.4912.eDepartment of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Donna M. McDonald-McGinn
- 0000 0001 0680 8770grid.239552.aDivision of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania USA ,0000 0004 1936 8972grid.25879.31Department of Pediatrics, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania USA ,0000 0001 0680 8770grid.239552.aDivision of Clinical Genetics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania USA
| | - Beverly Emanuel
- 0000 0004 1936 8972grid.25879.31Department of Pediatrics, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania USA ,0000 0001 0680 8770grid.239552.aDivision of Clinical Genetics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania USA
| | - Theo G. M. van Erp
- 0000 0001 0668 7243grid.266093.8Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA USA
| | - Jessica A. Turner
- 0000 0004 1936 7400grid.256304.6Imaging Genetics and Neuroinformatics Lab, Department of Psychology, Georgia State University, Atlanta, GA USA ,0000 0004 0409 4614grid.280503.cMind Research Network, Albuquerque, NM USA
| | - Paul M. Thompson
- 0000 0001 2156 6853grid.42505.36Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA ,0000 0001 2156 6853grid.42505.36Departments of Neurology, Psychiatry, Radiology, Engineering, Pediatrics and Ophthalmology, University of Southern California, California, CA USA
| | - Carrie E. Bearden
- 0000 0000 9632 6718grid.19006.3eDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA USA ,0000 0000 9632 6718grid.19006.3eDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA USA
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Thompson PM, Jahanshad N, Ching CRK, Salminen LE, Thomopoulos SI, Bright J, Baune BT, Bertolín S, Bralten J, Bruin WB, Bülow R, Chen J, Chye Y, Dannlowski U, de Kovel CGF, Donohoe G, Eyler LT, Faraone SV, Favre P, Filippi CA, Frodl T, Garijo D, Gil Y, Grabe HJ, Grasby KL, Hajek T, Han LKM, Hatton SN, Hilbert K, Ho TC, Holleran L, Homuth G, Hosten N, Houenou J, Ivanov I, Jia T, Kelly S, Klein M, Kwon JS, Laansma MA, Leerssen J, Lueken U, Nunes A, Neill JO, Opel N, Piras F, Piras F, Postema MC, Pozzi E, Shatokhina N, Soriano-Mas C, Spalletta G, Sun D, Teumer A, Tilot AK, Tozzi L, van der Merwe C, Van Someren EJW, van Wingen GA, Völzke H, Walton E, Wang L, Winkler AM, Wittfeld K, Wright MJ, Yun JY, Zhang G, Zhang-James Y, Adhikari BM, Agartz I, Aghajani M, Aleman A, Althoff RR, Altmann A, Andreassen OA, Baron DA, Bartnik-Olson BL, Marie Bas-Hoogendam J, Baskin-Sommers AR, Bearden CE, Berner LA, Boedhoe PSW, Brouwer RM, Buitelaar JK, Caeyenberghs K, Cecil CAM, Cohen RA, Cole JH, Conrod PJ, De Brito SA, de Zwarte SMC, Dennis EL, Desrivieres S, Dima D, Ehrlich S, Esopenko C, Fairchild G, Fisher SE, Fouche JP, Francks C, Frangou S, Franke B, Garavan HP, Glahn DC, Groenewold NA, Gurholt TP, Gutman BA, Hahn T, Harding IH, Hernaus D, Hibar DP, Hillary FG, Hoogman M, Hulshoff Pol HE, Jalbrzikowski M, Karkashadze GA, Klapwijk ET, Knickmeyer RC, Kochunov P, Koerte IK, Kong XZ, Liew SL, Lin AP, Logue MW, Luders E, Macciardi F, Mackey S, Mayer AR, McDonald CR, McMahon AB, Medland SE, Modinos G, Morey RA, Mueller SC, Mukherjee P, Namazova-Baranova L, Nir TM, Olsen A, Paschou P, Pine DS, Pizzagalli F, Rentería ME, Rohrer JD, Sämann PG, Schmaal L, Schumann G, Shiroishi MS, Sisodiya SM, Smit DJA, Sønderby IE, Stein DJ, Stein JL, Tahmasian M, Tate DF, Turner JA, van den Heuvel OA, van der Wee NJA, van der Werf YD, van Erp TGM, van Haren NEM, van Rooij D, van Velzen LS, Veer IM, Veltman DJ, Villalon-Reina JE, Walter H, Whelan CD, Wilde EA, Zarei M, Zelman V. ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Transl Psychiatry 2020; 10:100. [PMID: 32198361 PMCID: PMC7083923 DOI: 10.1038/s41398-020-0705-1] [Citation(s) in RCA: 280] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 12/11/2019] [Accepted: 12/20/2019] [Indexed: 02/07/2023] Open
Abstract
This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.
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Affiliation(s)
- Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Lauren E Salminen
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Joanna Bright
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sara Bertolín
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, Barcelona, Spain
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Willem B Bruin
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Robin Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Jian Chen
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
| | - Yann Chye
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Carolien G F de Kovel
- Biometris Wageningen University and Research, Wageningen, The Netherlands
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Gary Donohoe
- The Center for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland, Galway, Ireland
| | - Lisa T Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Desert-Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Pauline Favre
- INSERM Unit 955 Team 15 'Translational Psychiatry', Créteil, France
- NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif-Sur-Yvette, France
| | - Courtney A Filippi
- National Institute of Mental Health, National of Health, Bethesda, MD, USA
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Magdeburg, Germany
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Daniel Garijo
- Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA
| | - Yolanda Gil
- Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA
- Department of Computer Science, University of Southern California, Los Angeles, CA, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Katrina L Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Laura K M Han
- Department of Psychiatry, Amsterdam University Medical Centers, VU University Medical Center, GGZ inGeest, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Sean N Hatton
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Kevin Hilbert
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tiffany C Ho
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
- Department of Psychiatry & Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Laurena Holleran
- The Center for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland, Galway, Ireland
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Norbert Hosten
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Josselin Houenou
- INSERM Unit 955 Team 15 'Translational Psychiatry', Créteil, France
- NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif-Sur-Yvette, France
- APHP, Mondor University Hospitals, School of Medicine, DMU Impact, Psychiatry Department, Créteil, France
| | - Iliyan Ivanov
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), MRC SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Sinead Kelly
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Max A Laansma
- Department of Anatomy & Neurosciences, Amsterdam UMC, Location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Ulrike Lueken
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Abraham Nunes
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
| | - Joseph O' Neill
- Child & Adolescent Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Merel C Postema
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Elena Pozzi
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
| | - Natalia Shatokhina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, Barcelona, Spain
- CIBERSAM-G17, Madrid, Spain
- Department of Psychobiology and Methodology in Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Daqiang Sun
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mental Health, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Amanda K Tilot
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Leonardo Tozzi
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Celia van der Merwe
- Stanley Center for Psychiatric Research, The Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Psychiatry and Integrative Neurophysiology, VU University, Amsterdam UMC, Amsterdam, The Netherlands
| | - Guido A van Wingen
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald, Germany
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, UK
| | - Lei Wang
- Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Anderson M Winkler
- National Institute of Mental Health, National of Health, Bethesda, MD, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea
- Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Guohao Zhang
- Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA
| | - Yanli Zhang-James
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Bhim M Adhikari
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health & Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam UMC, Location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Research & Innovation, GGZ InGeest, Amsterdam, The Netherlands
| | - André Aleman
- University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robert R Althoff
- Psychiatry, Pediatrics, and Psychological Sciences, University of Vermont, Burlington, VT, USA
| | - Andre Altmann
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health & Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - David A Baron
- Provost and Senior Vice President, Western University of Health Sciences, Pomona, CA, USA
| | | | - Janna Marie Bas-Hoogendam
- Institute of Psychology, Leiden University, Leiden, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | | | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Laura A Berner
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Premika S W Boedhoe
- Department of Psychiatry, Amsterdam UMC, Location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Rachel M Brouwer
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, Australia
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Ronald A Cohen
- Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, USA
- Clinical and Health Psychology, Gainesville, FL, USA
| | - James H Cole
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Patricia J Conrod
- Universite de Montreal, Centre de Recherche CHU Ste-Justine, Montreal, QC, Canada
| | - Stephane A De Brito
- School of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Sonja M C de Zwarte
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Emily L Dennis
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Psychiatry Neuroimaging Laboratory, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sylvane Desrivieres
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK
- Department of Neuroimaging, Institute of Psychology, Psychiatry and Neurosciences, King's College London, London, UK
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Carrie Esopenko
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers Biomedical Health Sciences, Newark, NJ, USA
| | | | - Simon E Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Jean-Paul Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- SU/UCT MRC Unit on Risk & Resilience in Mental Disorders, University of Stellenbosch, Stellenbosch, South Africa
| | - Clyde Francks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- University of British Columbia, Vancouver, Canada
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hugh P Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Tiril P Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health & Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Boris A Gutman
- Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
- Institute for Information Transmission Problems, Kharkevich Institute, Moscow, Russian Federation
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ian H Harding
- Turner Institute for Brain and Mental Health & School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Dennis Hernaus
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Frank G Hillary
- Department of Psychology, Penn State University, University Park, PA, USA
- Social Life and Engineering Sciences Imaging Center, University Park, PA, USA
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - George A Karkashadze
- Research and Scientific Institute of Pediatrics and Child Health, CCH RAS, Ministry of Science and Higher Education, Moscow, Russian Federation
| | - Eduard T Klapwijk
- Institute of Psychology, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Rebecca C Knickmeyer
- Department of Pediatrics, Michigan State University, East Lansing, MI, USA
- Institute for Quantitative Health Science and Engineering, East Lansing, MI, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Peter Kochunov
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- CBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Xiang-Zhen Kong
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Sook-Lei Liew
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Chan Division of Occupational Science and Occupational Therapy, Los Angeles, CA, USA
| | - Alexander P Lin
- Center for Clinical Spectroscopy, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Mark W Logue
- National Center for PTSD at Boston VA Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
| | - Eileen Luders
- School of Psychology, University of Auckland, Auckland, New Zealand
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Scott Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | - Carrie R McDonald
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
- Psychiatry, San Diego, CA, USA
| | - Agnes B McMahon
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- The Kavli Foundation, Los Angeles, CA, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Gemma Modinos
- Department of Neuroimaging, Institute of Psychology, Psychiatry and Neurosciences, King's College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Rajendra A Morey
- Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
- Mental Illness Research Education and Clinical Center, Durham VA Medical Center, Durham, NC, USA
| | - Sven C Mueller
- Experimental Clinical & Health Psychology, Ghent University, Ghent, Belgium
- Department of Personality, Psychological Assessment and Treatment, University of Deusto, Bilbao, Spain
| | | | - Leyla Namazova-Baranova
- Research and Scientific Institute of Pediatrics and Child Health, CCH RAS, Ministry of Science and Higher Education, Moscow, Russian Federation
- Department of Pediatrics, Russian National Research Medical University MoH RF, Moscow, Russian Federation
| | - Talia M Nir
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Alexander Olsen
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | | | - Daniel S Pine
- National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Miguel E Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), MRC SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry and Psychotherapy, Charite, Humboldt University, Berlin, Germany
| | - Mark S Shiroishi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- Department of Radiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, University College London, London, UK
- Chalfont Centre for Epilepsy, Chalfont St Peter, UK
| | - Dirk J A Smit
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Ida E Sønderby
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health & Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Dan J Stein
- Department of Psychiatry & Neuroscience Institute, SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Jason L Stein
- Department of Genetics & UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, I. R., Iran
| | - David F Tate
- Department of Neurology, TBI and Concussion Center, Salt Lake City, UT, USA
- Missouri Institute of Mental Health, Berkeley, MO, USA
| | - Jessica A Turner
- Psychology Department & Neuroscience Institute, Georgia State University, Atlanta, GA, USA
| | - Odile A van den Heuvel
- Department of Anatomy & Neurosciences, Amsterdam UMC, Location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Ysbrand D van der Werf
- Department of Anatomy & Neurosciences, Amsterdam UMC, Location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
| | - Neeltje E M van Haren
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Daan van Rooij
- Donders Centre for Cognitive Neuroimaging, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Laura S van Velzen
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Ilya M Veer
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam UMC, Location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Christopher D Whelan
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Research and Early Development, Biogen Inc, Cambridge, MA, USA
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- VA Salt Lake City Healthcare System, Salt Lake City, UT, USA
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, I. R., Iran
| | - Vladimir Zelman
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Skolkovo Institute of Science and Technology, Moscow, Russian Federation
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10
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Dennis EL, Babikian T, Alger J, Rashid F, Villalon-Reina JE, Jin Y, Olsen A, Mink R, Babbitt C, Johnson J, Giza CC, Thompson PM, Asarnow RF. Magnetic resonance spectroscopy of fiber tracts in children with traumatic brain injury: A combined MRS - Diffusion MRI study. Hum Brain Mapp 2018; 39:3759-3768. [PMID: 29749094 DOI: 10.1002/hbm.24209] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Revised: 04/30/2018] [Accepted: 05/01/2018] [Indexed: 01/05/2023] Open
Abstract
Traumatic brain injury can cause extensive damage to the white matter (WM) of the brain. These disruptions can be especially damaging in children, whose brains are still maturing. Diffusion magnetic resonance imaging (dMRI) is the most commonly used method to assess WM organization, but it has limited resolution to differentiate causes of WM disruption. Magnetic resonance spectroscopy (MRS) yields spectra showing the levels of neurometabolites that can indicate neuronal/axonal health, inflammation, membrane proliferation/turnover, and other cellular processes that are on-going post-injury. Previous analyses on this dataset revealed a significant division within the msTBI patient group, based on interhemispheric transfer time (IHTT); one subgroup of patients (TBI-normal) showed evidence of recovery over time, while the other showed continuing degeneration (TBI-slow). We combined dMRI with MRS to better understand WM disruptions in children with moderate-severe traumatic brain injury (msTBI). Tracts with poorer WM organization, as shown by lower FA and higher MD and RD, also showed lower N-acetylaspartate (NAA), a marker of neuronal and axonal health and myelination. We did not find lower NAA in tracts with normal WM organization. Choline, a marker of inflammation, membrane turnover, or gliosis, did not show such associations. We further show that multi-modal imaging can improve outcome prediction over a single modality, as well as over earlier cognitive function measures. Our results suggest that demyelination plays an important role in WM disruption post-injury in a subgroup of msTBI children and indicate the utility of multi-modal imaging.
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Affiliation(s)
- Emily L Dennis
- Keck School of Medicine, University of Southern California, Imaging Genetics Center, Mary and Mark Stevens Institute for Neuroimaging and Informatics, Marina del Rey, California.,Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California
| | - Talin Babikian
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California.,Dept of Neurosurgery and Division of Pediatric Neurology, Mattel Children's Hospital, UCLA Brain Injury Research Center, Los Angeles, California
| | - Jeffry Alger
- Departments of Neurology and Radiology, UCLA, Los Angeles, California.,NeuroSpectroScopics LLC, Sherman Oaks, California
| | - Faisal Rashid
- Keck School of Medicine, University of Southern California, Imaging Genetics Center, Mary and Mark Stevens Institute for Neuroimaging and Informatics, Marina del Rey, California
| | - Julio E Villalon-Reina
- Keck School of Medicine, University of Southern California, Imaging Genetics Center, Mary and Mark Stevens Institute for Neuroimaging and Informatics, Marina del Rey, California
| | - Yan Jin
- Keck School of Medicine, University of Southern California, Imaging Genetics Center, Mary and Mark Stevens Institute for Neuroimaging and Informatics, Marina del Rey, California
| | - Alexander Olsen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California.,Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Richard Mink
- Department of Pediatrics, Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute, Torrance, California
| | | | - Jeffrey Johnson
- Department of Pediatrics, LAC+USC Medical Center, Los Angeles, California
| | - Christopher C Giza
- Dept of Neurosurgery and Division of Pediatric Neurology, Mattel Children's Hospital, UCLA Brain Injury Research Center, Los Angeles, California.,Brain Research Institute, UCLA, Los Angeles, California
| | - Paul M Thompson
- Keck School of Medicine, University of Southern California, Imaging Genetics Center, Mary and Mark Stevens Institute for Neuroimaging and Informatics, Marina del Rey, California.,Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, California
| | - Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California.,Department of Psychology, UCLA, Los Angeles, California.,Brain Research Institute, UCLA, Los Angeles, California
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11
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Maier-Hein KH, Neher PF, Houde JC, Côté MA, Garyfallidis E, Zhong J, Chamberland M, Yeh FC, Lin YC, Ji Q, Reddick WE, Glass JO, Chen DQ, Feng Y, Gao C, Wu Y, Ma J, He R, Li Q, Westin CF, Deslauriers-Gauthier S, González JOO, Paquette M, St-Jean S, Girard G, Rheault F, Sidhu J, Tax CMW, Guo F, Mesri HY, Dávid S, Froeling M, Heemskerk AM, Leemans A, Boré A, Pinsard B, Bedetti C, Desrosiers M, Brambati S, Doyon J, Sarica A, Vasta R, Cerasa A, Quattrone A, Yeatman J, Khan AR, Hodges W, Alexander S, Romascano D, Barakovic M, Auría A, Esteban O, Lemkaddem A, Thiran JP, Cetingul HE, Odry BL, Mailhe B, Nadar MS, Pizzagalli F, Prasad G, Villalon-Reina JE, Galvis J, Thompson PM, Requejo FDS, Laguna PL, Lacerda LM, Barrett R, Dell'Acqua F, Catani M, Petit L, Caruyer E, Daducci A, Dyrby TB, Holland-Letz T, Hilgetag CC, Stieltjes B, Descoteaux M. The challenge of mapping the human connectome based on diffusion tractography. Nat Commun 2017; 8:1349. [PMID: 29116093 PMCID: PMC5677006 DOI: 10.1038/s41467-017-01285-x] [Citation(s) in RCA: 690] [Impact Index Per Article: 98.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 09/01/2017] [Indexed: 01/14/2023] Open
Abstract
Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. Here, we report the encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent). However, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups. Taken together, our results demonstrate and confirm fundamental ambiguities inherent in tract reconstruction based on orientation information alone, which need to be considered when interpreting tractography and connectivity results. Our approach provides a novel framework for estimating reliability of tractography and encourages innovation to address its current limitations. Though tractography is widely used, it has not been systematically validated. Here, authors report results from 20 groups showing that many tractography algorithms produce both valid and invalid bundles.
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Affiliation(s)
- Klaus H Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
| | - Peter F Neher
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
| | - Jean-Christophe Houde
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - Marc-Alexandre Côté
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - Eleftherios Garyfallidis
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.,Department of Intelligent Systems Engineering, School of Informatics and Computing, Indiana University, Bloomington, IN 47408, USA
| | - Jidan Zhong
- Krembil Research Institute, University Health Network, Toronto, Canada, M5G 2C4
| | - Maxime Chamberland
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Ying-Chia Lin
- IMT-Institute for Advanced Studies, Lucca, 55100, Italy
| | - Qing Ji
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Wilburn E Reddick
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - John O Glass
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - David Qixiang Chen
- University of Toronto Institute of Medical Science, Toronto, Canada, M5S 1A8
| | - Yuanjing Feng
- Institute of Information Processing and Automation, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China
| | - Chengfeng Gao
- Institute of Information Processing and Automation, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China
| | - Ye Wu
- Institute of Information Processing and Automation, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China
| | - Jieyan Ma
- United Imaging Healthcare Co., Shanghai, 201807, China
| | - Renjie He
- United Imaging Healthcare Co., Shanghai, 201807, China
| | - Qiang Li
- United Imaging Healthcare Co., Shanghai, 201807, China.,Shanghai Advanced Research Institute, Shanghai, 201210, China
| | - Carl-Fredrik Westin
- Laboratory of Mathematics in Imaging, Harvard Medical School, Boston, MA, 02215, USA
| | | | | | - Michael Paquette
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - Samuel St-Jean
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - Gabriel Girard
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - François Rheault
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - Jasmeen Sidhu
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada
| | - Chantal M W Tax
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.,Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Fenghua Guo
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands
| | - Hamed Y Mesri
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands
| | - Szabolcs Dávid
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands
| | - Martijn Froeling
- Department of Radiology, University Medical Center Utrecht, Utrecht, 3508, The Netherlands
| | - Anneriet M Heemskerk
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands
| | - Alexander Leemans
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands
| | - Arnaud Boré
- Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5
| | - Basile Pinsard
- Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale (LIB), 75013, Paris, France
| | - Christophe Bedetti
- Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.,Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montreal, Canada, H4J 1C5
| | - Matthieu Desrosiers
- Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5
| | - Simona Brambati
- Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5
| | - Julien Doyon
- Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5
| | - Alessia Sarica
- Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy
| | - Roberta Vasta
- Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy
| | - Antonio Cerasa
- Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy
| | - Aldo Quattrone
- Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy.,Institute of Neurology, University Magna Graecia, Germaneto, 88100, CZ, Italy
| | - Jason Yeatman
- Institute for Learning & Brain Sciences and Department of Speech & Hearing Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Ali R Khan
- Departments of Medical Biophysics & Medical Imaging, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St N, London, ON, Canada, N6A 5C1
| | - Wes Hodges
- Synaptive Medical Inc., MaRS Discovery District, 101 College Street, Suite 200, Toronto, ON, Canada, M5V 3B1
| | - Simon Alexander
- Synaptive Medical Inc., MaRS Discovery District, 101 College Street, Suite 200, Toronto, ON, Canada, M5V 3B1
| | - David Romascano
- Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland
| | - Muhamed Barakovic
- Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland
| | - Anna Auría
- Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland
| | - Oscar Esteban
- Biomedical Image Technologies (BIT), ETSI Telecom., U. Politécnica de Madrid and CIBER-BBN, Madrid, 28040, Spain
| | - Alia Lemkaddem
- Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland
| | - Jean-Philippe Thiran
- Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.,Department of Radiology, University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, 1011, Switzerland
| | - H Ertan Cetingul
- Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA
| | - Benjamin L Odry
- Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA
| | - Boris Mailhe
- Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA
| | - Mariappan S Nadar
- Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA
| | - Gautam Prasad
- Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA
| | - Justin Galvis
- Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA
| | | | - Pedro Luque Laguna
- NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Luis Miguel Lacerda
- NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Rachel Barrett
- NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Flavio Dell'Acqua
- NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Marco Catani
- NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Laurent Petit
- Groupe d'imagerie Neurofonctionnelle-Institut des Maladies Neurodégénératives (GIN-IMN), UMR5293 CNRS, CEA, University of Bordeaux, Bordeaux, 33000, France
| | - Emmanuel Caruyer
- Centre national de la recherche scientifique (CNRS), Institute for Research in IT and Random Systems (IRISA), UMR 6074 VISAGES Project-Team, Rennes, 35042, France
| | - Alessandro Daducci
- Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.,Department of Radiology, University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, 1011, Switzerland
| | - Tim B Dyrby
- Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, 2650, Denmark.,Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, 2800, Denmark
| | - Tim Holland-Letz
- Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
| | - Claus C Hilgetag
- Department of Computational Neuroscience, University Medical Center Eppendorf, Hamburg, 20246, Germany
| | - Bram Stieltjes
- University Hospital Basel, Radiology & Nuclear Medicine Clinic, Basel, 4031, Switzerland
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
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12
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Dennis EL, Rashid F, Ellis MU, Babikian T, Vlasova RM, Villalon-Reina JE, Jin Y, Olsen A, Mink R, Babbitt C, Johnson J, Giza CC, Thompson PM, Asarnow RF. Diverging white matter trajectories in children after traumatic brain injury: The RAPBI study. Neurology 2017; 88:1392-1399. [PMID: 28298549 DOI: 10.1212/wnl.0000000000003808] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 10/19/2016] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE To examine longitudinal trajectories of white matter organization in pediatric moderate/severe traumatic brain injury (msTBI) over a 12-month period. METHODS We studied 21 children (16 M/5 F) with msTBI, assessed 2-5 months postinjury and again 13-19 months postinjury, as well as 20 well-matched healthy control children. We assessed corpus callosum function through interhemispheric transfer time (IHTT), measured using event-related potentials, and related this to diffusion-weighted MRI measures of white matter (WM) microstructure. At the first time point, half of the patients with TBI had significantly slower IHTT (TBI-slow-IHTT, n = 11) and half were in the normal range (TBI-normal-IHTT, n = 10). RESULTS The TBI-normal-IHTT group did not differ significantly from healthy controls, either in WM organization in the chronic phase or in the longitudinal trajectory of WM organization between the 2 evaluations. In contrast, the WM organization of the TBI-slow-IHTT group was significantly lower than in healthy controls across a large portion of the WM. Longitudinal analyses showed that the TBI-slow-IHTT group experienced a progressive decline between the 2 evaluations in WM organization throughout the brain. CONCLUSIONS We present preliminary evidence suggesting a potential biomarker that identifies a subset of patients with impaired callosal organization in the first months postinjury who subsequently experience widespread continuing and progressive degeneration in the first year postinjury.
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Affiliation(s)
- Emily L Dennis
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA.
| | - Faisal Rashid
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Monica U Ellis
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Talin Babikian
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Roza M Vlasova
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Julio E Villalon-Reina
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Yan Jin
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Alexander Olsen
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Richard Mink
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Christopher Babbitt
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Jeffrey Johnson
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Christopher C Giza
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Paul M Thompson
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
| | - Robert F Asarnow
- From the Imaging Genetics Center (E.L.D., F.R., J.E.V.-R., Y.J., P.M.T.), Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior (M.U.E., T.B., A.O., R.F.A.), Department of Psychology (R.F.A.), and Brain Research Institute (R.F.A.), UCLA, Los Angeles; Fuller Theological Seminary School of Psychology (M.U.E.), Pasadena; CIBORG Laboratory (R.M.V.), Department of Radiology, Children's Hospital Los Angeles, CA; Department of Psychology (A.O.), Norwegian University of Science and Technology; Department of Physical Medicine and Rehabilitation (A.O.), St. Olavs Hospital, Trondheim University Hospital, Norway; Harbor-UCLA Medical Center and Los Angeles BioMedical Research Institute (R.M.), Department of Pediatrics, Torrance; Miller Children's Hospital (C.B.), Long Beach; Department of Pediatrics (J.J.), LAC+USC Medical Center; Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research Center (C.C.G.), Mattel Children's Hospital; and Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology (P.M.T.), USC, Los Angeles, CA
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13
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Nir TM, Jahanshad N, Villalon-Reina JE, Isaev D, Zavaliangos-Petropulu A, Zhan L, Leow AD, Jack CR, Weiner MW, Thompson PM. Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits. Magn Reson Med 2017; 78:2322-2333. [PMID: 28266059 DOI: 10.1002/mrm.26623] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 11/21/2016] [Accepted: 01/08/2017] [Indexed: 12/30/2022]
Abstract
PURPOSE In diffusion MRI (dMRI), fractional anisotropy derived from the single-tensor model (FADTI ) is the most widely used metric to characterize white matter (WM) microarchitecture, despite known limitations in regions with crossing fibers. Due to time constraints when scanning patients in clinical settings, high angular resolution diffusion imaging acquisition protocols, often used to overcome these limitations, are still rare in clinical population studies. However, the tensor distribution function (TDF) may be used to model multiple underlying fibers by representing the diffusion profile as a probabilistic mixture of tensors. METHODS We compared the ability of standard FADTI and TDF-derived FA (FATDF ), calculated from a range of dMRI angular resolutions (41, 30, 15, and 7 gradient directions), to profile WM deficits in 251 individuals from the Alzheimer's Disease Neuroimaging Initiative and to detect associations with 1) Alzheimer's disease diagnosis, 2) Clinical Dementia Rating scores, and 3) average hippocampal volume. RESULTS Across angular resolutions and statistical tests, FATDF showed larger effect sizes than FADTI , particularly in regions preferentially affected by Alzheimer's disease, and was less susceptible to crossing fiber anomalies. CONCLUSION The TDF "corrected" form of FA may be a more sensitive and accurate alternative to the commonly used FADTI , even in clinical quality dMRI data. Magn Reson Med 78:2322-2333, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Talia M Nir
- Imaging Genetics Center, University of Southern California, Marina del Rey, California, USA
| | - Neda Jahanshad
- Imaging Genetics Center, University of Southern California, Marina del Rey, California, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, University of Southern California, Marina del Rey, California, USA
| | - Dmitry Isaev
- Imaging Genetics Center, University of Southern California, Marina del Rey, California, USA
| | | | - Liang Zhan
- Computer Engineering Program, University of Wisconsin-Stout, Menomonie, Wisconsin, USA
| | - Alex D Leow
- Department of Psychiatry and Bioengineering, University of Illinois, Chicago, Illinois, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Michael W Weiner
- Department of Radiology, University of California San Francisco School of Medicine, San Francisco, California, USA
| | - Paul M Thompson
- Imaging Genetics Center, University of Southern California, Marina del Rey, California, USA
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Craddock RC, Bellec P, Margules DS, Nichols BN, Pfannmöller JP, Badhwar A, Kennedy D, Poline JB, Toro R, Cipollini B, Rokem A, Clark D, Gorgolewski KJ, Craddock RC, Craddock RC, Clark DJ, Das S, Madjar C, Sengupta A, Mohades Z, Dery S, Deng W, Earl E, Demeter DV, Mills K, Mihai G, Ruzic L, Ketz N, Reineberg A, Reddan MC, Goddings AL, Gonzalez-Castillo J, Gorgolewski KJ, Froehlich C, Dekel G, Margulies DS, Craddock RC, Fulcher BD, Glatard T, Das S, Adalat R, Beck N, Bernard R, Khalili-Mahani N, Rioux P, Rousseau MÉ, Evans AC, Halchenko YO, Castello MVDO, Hernández-Pérez R, Morales EA, Cuaya LV, Ito KL, Liew SL, Johnson HJ, Kan E, Anglin J, Borich M, Jahanshad N, Thompson P, Liew SL, Margulies DS, Falkiewicz M, Huntenburg JM, O’Connor D, Clark DJ, Milham MP, Craddock RC, Pereira RF, Heinsfeld AS, Franco AR, Buchweitz A, Meneguzzi F, Pfannmöller JP, Mesquita R, Herrera LCT, Dentico D, Sochat V, Nichols BN, Heinsfeld AS, Franco AR, Buchweitz A, Meneguzzi F, Villalon-Reina JE, Garyfallidis E. 2015 Brainhack Proceedings. Gigascience 2016. [PMCID: PMC5103253 DOI: 10.1186/s13742-016-0147-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
I1 Introduction to the 2015 Brainhack Proceedings R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller A1 Distributed collaboration: the case for the enhancement of Brainspell’s interface AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro A2 Advancing open science through NiData Ben Cipollini, Ariel Rokem A3 Integrating the Brain Imaging Data Structure (BIDS) standard into C-PAC Daniel Clark, Krzysztof J. Gorgolewski, R. Cameron Craddock A4 Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI R. Cameron Craddock, Daniel J. Clark A5 LORIS: DICOM anonymizer Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades A6 Automatic extraction of academic collaborations in neuroimaging Sebastien Dery A7 NiftyView: a zero-footprint web application for viewing DICOM and NIfTI files Weiran Deng A8 Human Connectome Project Minimal Preprocessing Pipelines to Nipype Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Krzysztof J. Gorgolewski A9 Generating music with resting-state fMRI data Caroline Froehlich, Gil Dekel, Daniel S. Margulies, R. Cameron Craddock A10 Highly comparable time-series analysis in Nitime Ben D. Fulcher A11 Nipype interfaces in CBRAIN Tristan Glatard, Samir Das, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans A12 DueCredit: automated collection of citations for software, methods, and data Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello A13 Open source low-cost device to register dog’s heart rate and tail movement Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya A14 Calculating the Laterality Index Using FSL for Stroke Neuroimaging Data Kaori L. Ito, Sook-Lei Liew A15 Wrapping FreeSurfer 6 for use in high-performance computing environments Hans J. Johnson A16 Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Sook-Lei Liew A17 A cortical surface-based geodesic distance package for Python Daniel S Margulies, Marcel Falkiewicz, Julia M Huntenburg A18 Sharing data in the cloud David O’Connor, Daniel J. Clark, Michael P. Milham, R. Cameron Craddock A19 Detecting task-based fMRI compliance using plan abandonment techniques Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A20 Self-organization and brain function Jörg P. Pfannmöller, Rickson Mesquita, Luis C.T. Herrera, Daniela Dentico A21 The Neuroimaging Data Model (NIDM) API Vanessa Sochat, B Nolan Nichols A22 NeuroView: a customizable browser-base utility Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A23 DIPY: Brain tissue classification Julio E. Villalon-Reina, Eleftherios Garyfallidis
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15
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Villalon-Reina JE, Garyfallidis E. DIPY: Brain tissue classification. Gigascience 2016. [DOI: 10.1186/s13742-016-0147-0-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Julio E. Villalon-Reina
- Imaging Genetics Center, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, California, USA
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16
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Daianu M, Jahanshad N, Villalon-Reina JE, Prasad G, Jacobs RE, Barnes S, Zlokovic BV, Montagne A, Thompson PM. 7T Multi-shell Hybrid Diffusion Imaging (HYDI) for Mapping Brain Connectivity in Mice. Proc SPIE Int Soc Opt Eng 2015; 9413. [PMID: 25859293 DOI: 10.1117/12.2081491] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Diffusion weighted imaging (DWI) is widely used to study microstructural characteristics of the brain. High angular resolution diffusion imaging (HARDI) samples diffusivity at a large number of spherical angles, to better resolve neural fibers that mix or cross. Here, we implemented a framework for advanced mathematical analysis of mouse 5-shell HARDI (b=1000, 3000, 4000, 8000, 12000 s/mm2), also known as hybrid diffusion imaging (HYDI). Using q-ball imaging (QBI) at ultra-high field strength (7 Tesla), we computed diffusion and fiber orientation distribution functions (dODF, fODF) to better detect crossing fibers. We also computed a quantitative anisotropy (QA) index, and deterministic tractography, from the peak orientation of the fODFs. We found that the signal to noise ratio (SNR) of the QA was significantly higher in single and multi-shell reconstructed data at the lower b-values (b=1000, 3000, 4000 s/mm2) than at higher b-values (b=8000, 12000 s/mm2); the b=1000 s/mm2 shell increased the SNR of the QA in all multi-shell reconstructions, but when used alone or in <5-shell reconstruction, it led to higher angular error for the major fibers, compared to 5-shell HYDI. Multi-shell data reconstructed major fibers with less error than single-shell data, and was most successful at reducing the angular error when the lowest shell was excluded (b=1000 s/mm2). Overall, high-resolution connectivity mapping with 7T HYDI offers great potential for understanding unresolved changes in mouse models of brain disease.
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Affiliation(s)
- Madelaine Daianu
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles
| | - Neda Jahanshad
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles
| | - Gautam Prasad
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles
| | - Russell E Jacobs
- Biological Imaging Center, California Institute of Technology, Los Angeles
| | - Samuel Barnes
- Biological Imaging Center, California Institute of Technology, Los Angeles
| | - Berislav V Zlokovic
- Zilhka Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - Axel Montagne
- Zilhka Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles
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Nir TM, Villalon-Reina JE, Prasad G, Jahanshad N, Joshi SH, Toga AW, Bernstein MA, Jack CR, Weiner MW, Thompson PM. Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease. Neurobiol Aging 2015; 36 Suppl 1:S132-40. [PMID: 25444597 PMCID: PMC4283487 DOI: 10.1016/j.neurobiolaging.2014.05.037] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2013] [Revised: 05/13/2014] [Accepted: 05/13/2014] [Indexed: 10/24/2022]
Abstract
Characterizing brain changes in Alzheimer's disease (AD) is important for patient prognosis and for assessing brain deterioration in clinical trials. In this diffusion weighted imaging study, we used a new fiber-tract modeling method to investigate white matter integrity in 50 elderly controls (CTL), 113 people with mild cognitive impairment, and 37 AD patients. After clustering tractography using a region-of-interest atlas, we used a shortest path graph search through each bundle's fiber density map to derive maximum density paths (MDPs), which we registered across subjects. We calculated the fractional anisotropy (FA) and mean diffusivity (MD) along all MDPs and found significant MD and FA differences between AD patients and CTL subjects, as well as MD differences between CTL and late mild cognitive impairment subjects. MD and FA were also associated with widely used clinical scores. As an MDP is a compact low-dimensional representation of white matter organization, we tested the utility of diffusion tensor imaging measures along these MDPs as features for support vector machine based classification of AD.
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Affiliation(s)
- Talia M Nir
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Gautam Prasad
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Shantanu H Joshi
- Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
| | - Arthur W Toga
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Matt A Bernstein
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Michael W Weiner
- Department of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA; Department of Neurology, University of Southern California, Los Angeles, CA, USA; Department of Psychiatry, University of Southern California, Los Angeles, CA, USA; Department of Radiology, University of Southern California, Los Angeles, CA, USA; Department of Engineering, University of Southern California, Los Angeles, CA, USA; Department of Pediatrics, University of Southern California, Los Angeles, CA, USA; Department of Ophthalmology, University of Southern California, Los Angeles, CA, USA.
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Jalbrzikowski M, Villalon-Reina JE, Karlsgodt KH, Senturk D, Chow C, Thompson PM, Bearden CE. Altered white matter microstructure is associated with social cognition and psychotic symptoms in 22q11.2 microdeletion syndrome. Front Behav Neurosci 2014; 8:393. [PMID: 25426042 PMCID: PMC4227518 DOI: 10.3389/fnbeh.2014.00393] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 10/22/2014] [Indexed: 12/26/2022] Open
Abstract
22q11.2 Microdeletion Syndrome (22q11DS) is a highly penetrant genetic mutation associated with a significantly increased risk for psychosis. Aberrant neurodevelopment may lead to inappropriate neural circuit formation and cerebral dysconnectivity in 22q11DS, which may contribute to symptom development. Here we examined: (1) differences between 22q11DS participants and typically developing controls in diffusion tensor imaging (DTI) measures within white matter tracts; (2) whether there is an altered age-related trajectory of white matter pathways in 22q11DS; and (3) relationships between DTI measures, social cognition task performance, and positive symptoms of psychosis in 22q11DS and typically developing controls. Sixty-four direction diffusion weighted imaging data were acquired on 65 participants (36 22q11DS, 29 controls). We examined differences between 22q11DS vs. controls in measures of fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD), using both a voxel-based and region of interest approach. Social cognition domains assessed were: Theory of Mind and emotion recognition. Positive symptoms were assessed using the Structured Interview for Prodromal Syndromes. Compared to typically developing controls, 22q11DS participants showed significantly lower AD and RD in multiple white matter tracts, with effects of greatest magnitude for AD in the superior longitudinal fasciculus. Additionally, 22q11DS participants failed to show typical age-associated changes in FA and RD in the left inferior longitudinal fasciculus. Higher AD in the left inferior fronto-occipital fasciculus (IFO) and left uncinate fasciculus was associated with better social cognition in 22q11DS and controls. In contrast, greater severity of positive symptoms was associated with lower AD in bilateral regions of the IFO in 22q11DS. White matter microstructure in tracts relevant to social cognition is disrupted in 22q11DS, and may contribute to psychosis risk.
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Affiliation(s)
- Maria Jalbrzikowski
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles Los Angeles, CA, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California Marina del Rey, CA, USA
| | - Katherine H Karlsgodt
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research Manhasset, NY, USA ; Division of Psychiatric Research, Zucker Hillside Hospital Glen Oaks, NY, USA ; Psychiatry, Hofstra Northshore-LIJ School of Medicine Hempstead, NY, USA
| | - Damla Senturk
- Department of Biostatistics, School of Public Health, University of California at Los Angeles Los Angeles, CA, USA
| | - Carolyn Chow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California Marina del Rey, CA, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles Los Angeles, CA, USA ; Department of Psychology, University of California at Los Angeles Los Angeles, CA, USA
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Daianu M, Jahanshad N, Villalon-Reina JE, Mendez MF, Bartzokis G, Jimenez EE, Joshi A, Barsuglia J, Thompson PM. Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer's disease. Math Vis 2014; 2014:13-22. [PMID: 26161050 PMCID: PMC4492471 DOI: 10.1007/978-3-319-11182-7_2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/06/2022]
Abstract
Diffusion imaging and brain connectivity analyses can reveal the underlying organizational patterns of the human brain, described as complex networks of densely interlinked regions. Here, we analyzed 1.5-Tesla whole-brain diffusion-weighted images from 64 participants - 15 patients with behavioral variant frontotemporal (bvFTD) dementia, 19 with early-onset Alzheimer's disease (EOAD), and 30 healthy elderly controls. Based on whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We examined how bvFTD and EOAD disrupt the weighted 'rich club' - a network property where high-degree network nodes are more interconnected than expected by chance. bvFTD disrupts both the nodal and global organization of the network in both low- and high-degree regions of the brain. EOAD targets the global connectivity of the brain, mainly affecting the fiber density of high-degree (highly connected) regions that form the rich club network. These rich club analyses suggest distinct patterns of disruptions among different forms of dementia.
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Affiliation(s)
- Madelaine Daianu
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Julio E. Villalon-Reina
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Mario F. Mendez
- Alzheimer’s Disease Research Center, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
| | - George Bartzokis
- Alzheimer’s Disease Research Center, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
| | - Elvira E. Jimenez
- Alzheimer’s Disease Research Center, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
| | - Aditi Joshi
- Alzheimer’s Disease Research Center, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
| | - Joseph Barsuglia
- Alzheimer’s Disease Research Center, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
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Nir TM, Jahanshad N, Villalon-Reina JE, Toga AW, Jack CR, Weiner MW, Thompson PM. Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging. Neuroimage Clin 2013; 3:180-95. [PMID: 24179862 PMCID: PMC3792746 DOI: 10.1016/j.nicl.2013.07.006] [Citation(s) in RCA: 217] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2013] [Revised: 07/03/2013] [Accepted: 07/21/2013] [Indexed: 01/08/2023]
Abstract
The Alzheimer's Disease Neuroimaging Initiative (ADNI) recently added diffusion tensor imaging (DTI), among several other new imaging modalities, in an effort to identify sensitive biomarkers of Alzheimer's disease (AD). While anatomical MRI is the main structural neuroimaging method used in most AD studies and clinical trials, DTI is sensitive to microscopic white matter (WM) changes not detectable with standard MRI, offering additional markers of neurodegeneration. Prior DTI studies of AD report lower fractional anisotropy (FA), and increased mean, axial, and radial diffusivity (MD, AxD, RD) throughout WM. Here we assessed which DTI measures may best identify differences among AD, mild cognitive impairment (MCI), and cognitively healthy elderly control (NC) groups, in region of interest (ROI) and voxel-based analyses of 155 ADNI participants (mean age: 73.5 ± 7.4; 90 M/65 F; 44 NC, 88 MCI, 23 AD). Both VBA and ROI analyses revealed widespread group differences in FA and all diffusivity measures. DTI maps were strongly correlated with widely-used clinical ratings (MMSE, CDR-sob, and ADAS-cog). When effect sizes were ranked, FA analyses were least sensitive for picking up group differences. Diffusivity measures could detect more subtle MCI differences, where FA could not. ROIs showing strongest group differentiation (lowest p-values) included tracts that pass through the temporal lobe, and posterior brain regions. The left hippocampal component of the cingulum showed consistently high effect sizes for distinguishing groups, across all diffusivity and anisotropy measures, and in correlations with cognitive scores.
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Affiliation(s)
- Talia M. Nir
- Imaging Genetics Center, Laboratory of Neuro Imaging,
Department of Neurology, UCLA School of Medicine, Los Angeles, CA,
USA
| | - Neda Jahanshad
- Imaging Genetics Center, Laboratory of Neuro Imaging,
Department of Neurology, UCLA School of Medicine, Los Angeles, CA,
USA
| | - Julio E. Villalon-Reina
- Imaging Genetics Center, Laboratory of Neuro Imaging,
Department of Neurology, UCLA School of Medicine, Los Angeles, CA,
USA
| | - Arthur W. Toga
- Imaging Genetics Center, Laboratory of Neuro Imaging,
Department of Neurology, UCLA School of Medicine, Los Angeles, CA,
USA
| | - Clifford R. Jack
- Department of Radiology, Mayo Clinic and Foundation,
Rochester, MN, USA
| | - Michael W. Weiner
- Department of Radiology and Biomedical Imaging, UCSF School
of Medicine, San Francisco, CA, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Laboratory of Neuro Imaging,
Department of Neurology, UCLA School of Medicine, Los Angeles, CA,
USA
- Deptartment of Psychiatry, Semel Institute, UCLA School of
Medicine, Los Angeles, CA, USA
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