1
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Graham IM, Gillespie D, Gkikopoulou KC, Hastie GD, Thompson PM. Directional hydrophone clusters reveal evasive responses of small cetaceans to disturbance during construction at offshore windfarms. Biol Lett 2023; 19:20220101. [PMID: 36651028 PMCID: PMC9845968 DOI: 10.1098/rsbl.2022.0101] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Mitigation measures to disperse marine mammals prior to pile-driving include acoustic deterrent devices and piling soft starts, but their efficacy remains uncertain. We developed a self-contained portable hydrophone cluster to detect small cetacean movements from the distributions of bearings to detections. Using an array of clusters within 10 km of foundation pile installations, we tested the hypothesis that harbour porpoises (Phocoena phocoena) respond to mitigation measures at offshore windfarm sites by moving away. During baseline periods, porpoise movements were evenly distributed in all directions. By contrast, animals showed significant directional movement away from sound sources during acoustic deterrent device use and piling soft starts. We demonstrate that porpoises respond to measures aimed to mitigate the most severe impacts of construction at offshore windfarms by swimming directly away from these sound sources. Portable directional hydrophone clusters now provide opportunities to characterize responses to disturbance sources across a broad suite of habitats and contexts.
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Affiliation(s)
- I. M. Graham
- Lighthouse Field Station, School of Biological Sciences, University of Aberdeen, Cromarty, Ross-shire IV11 8YL, Scotland
| | - D. Gillespie
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, Fife KY16 8LB, Scotland
| | - K. C. Gkikopoulou
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, Fife KY16 8LB, Scotland
| | - G. D. Hastie
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, Fife KY16 8LB, Scotland
| | - P. M. Thompson
- Lighthouse Field Station, School of Biological Sciences, University of Aberdeen, Cromarty, Ross-shire IV11 8YL, Scotland
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2
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Lu J, Chen B, Levy M, Xu P, Han BX, Takatoh J, Thompson PM, He Z, Prevosto V, Wang F. Somatosensory cortical signature of facial nociception and vibrotactile touch-induced analgesia. Sci Adv 2022; 8:eabn6530. [PMID: 36383651 PMCID: PMC9668294 DOI: 10.1126/sciadv.abn6530] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Pain relief by vibrotactile touch is a common human experience. Previous neurophysiological investigations of its underlying mechanism in animals focused on spinal circuits, while human studies suggested the involvement of supraspinal pathways. Here, we examine the role of primary somatosensory cortex (S1) in touch-induced mechanical and heat analgesia. We found that, in mice, vibrotactile reafferent signals from self-generated whisking significantly reduce facial nociception, which is abolished by specifically blocking touch transmission from thalamus to the barrel cortex (S1B). Using a signal separation algorithm that can decompose calcium signals into sensory-evoked, whisking, or face-wiping responses, we found that the presence of whisking altered nociceptive signal processing in S1B neurons. Analysis of S1B population dynamics revealed that whisking pushes the transition of the neural state induced by noxious stimuli toward the outcome of non-nocifensive actions. Thus, S1B integrates facial tactile and noxious signals to enable touch-mediated analgesia.
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Affiliation(s)
- Jinghao Lu
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
| | - Bin Chen
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Manuel Levy
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Peng Xu
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Bao-Xia Han
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
| | - Jun Takatoh
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - P. M. Thompson
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Zhigang He
- Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Vincent Prevosto
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Fan Wang
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
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3
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Hettwer MD, Larivière S, Park BY, van den Heuvel OA, Schmaal L, Andreassen OA, Ching CRK, Hoogman M, Buitelaar J, van Rooij D, Veltman DJ, Stein DJ, Franke B, van Erp TGM, Jahanshad N, Thompson PM, Thomopoulos SI, Bethlehem RAI, Bernhardt BC, Eickhoff SB, Valk SL. Coordinated cortical thickness alterations across six neurodevelopmental and psychiatric disorders. Nat Commun 2022; 13:6851. [PMID: 36369423 PMCID: PMC9652311 DOI: 10.1038/s41467-022-34367-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 10/24/2022] [Indexed: 11/13/2022] Open
Abstract
Neuropsychiatric disorders are increasingly conceptualized as overlapping spectra sharing multi-level neurobiological alterations. However, whether transdiagnostic cortical alterations covary in a biologically meaningful way is currently unknown. Here, we studied co-alteration networks across six neurodevelopmental and psychiatric disorders, reflecting pathological structural covariance. In 12,024 patients and 18,969 controls from the ENIGMA consortium, we observed that co-alteration patterns followed normative connectome organization and were anchored to prefrontal and temporal disease epicenters. Manifold learning revealed frontal-to-temporal and sensory/limbic-to-occipitoparietal transdiagnostic gradients, differentiating shared illness effects on cortical thickness along these axes. The principal gradient aligned with a normative cortical thickness covariance gradient and established a transcriptomic link to cortico-cerebello-thalamic circuits. Moreover, transdiagnostic gradients segregated functional networks involved in basic sensory, attentional/perceptual, and domain-general cognitive processes, and distinguished between regional cytoarchitectonic profiles. Together, our findings indicate that shared illness effects occur in a synchronized fashion and along multiple levels of hierarchical cortical organization.
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Affiliation(s)
- M. D. Hettwer
- grid.411327.20000 0001 2176 9917Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany ,grid.419524.f0000 0001 0041 5028Max Planck School of Cognition, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany ,grid.419524.f0000 0001 0041 5028Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - S. Larivière
- grid.416102.00000 0004 0646 3639Multimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC Canada
| | - B. Y. Park
- grid.416102.00000 0004 0646 3639Multimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC Canada ,grid.202119.90000 0001 2364 8385Department of Data Science, Inha University, Incheon, Republic of Korea ,grid.410720.00000 0004 1784 4496Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - O. A. van den Heuvel
- grid.484519.5Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neuroscience and Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - L. Schmaal
- grid.1008.90000 0001 2179 088XCentre for Youth Mental Health, The University of Melbourne, Melbourne, VIC Australia ,grid.488501.00000 0004 8032 6923Orygen, Parkville, VIC Australia
| | - O. A. Andreassen
- grid.5510.10000 0004 1936 8921NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - C. R. K. Ching
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - M. Hoogman
- grid.10417.330000 0004 0444 9382Departments of Psychiatry and Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J. Buitelaar
- grid.10417.330000 0004 0444 9382Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - D. van Rooij
- grid.10417.330000 0004 0444 9382Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - D. J. Veltman
- grid.484519.5Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neuroscience and Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - D. J. Stein
- grid.7836.a0000 0004 1937 1151South African Medical Research Council Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - B. Franke
- grid.10417.330000 0004 0444 9382Departments of Psychiatry and Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - T. G. M. van Erp
- grid.266093.80000 0001 0668 7243Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine Hall, Irvine, CA USA ,grid.266093.80000 0001 0668 7243Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA USA
| | | | | | | | | | | | | | - N. Jahanshad
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - P. M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - S. I. Thomopoulos
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - R. A. I. Bethlehem
- grid.5335.00000000121885934Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B. C. Bernhardt
- grid.416102.00000 0004 0646 3639Multimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC Canada
| | - S. B. Eickhoff
- grid.411327.20000 0001 2176 9917Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany
| | - S. L. Valk
- grid.411327.20000 0001 2176 9917Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany ,grid.419524.f0000 0001 0041 5028Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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4
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Takatoh J, Prevosto V, Thompson PM, Lu J, Chung L, Harrahill A, Li S, Zhao S, He Z, Golomb D, Kleinfeld D, Wang F. The whisking oscillator circuit. Nature 2022; 609:560-568. [PMID: 36045290 PMCID: PMC10038238 DOI: 10.1038/s41586-022-05144-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 07/25/2022] [Indexed: 11/09/2022]
Abstract
Central oscillators are primordial neural circuits that generate and control rhythmic movements1,2. Mechanistic understanding of these circuits requires genetic identification of the oscillator neurons and their synaptic connections to enable targeted electrophysiological recording and causal manipulation during behaviours. However, such targeting remains a challenge with mammalian systems. Here we delimit the oscillator circuit that drives rhythmic whisking-a motor action that is central to foraging and active sensing in rodents3,4. We found that the whisking oscillator consists of parvalbumin-expressing inhibitory neurons located in the vibrissa intermediate reticular nucleus (vIRtPV) in the brainstem. vIRtPV neurons receive descending excitatory inputs and form recurrent inhibitory connections among themselves. Silencing vIRtPV neurons eliminated rhythmic whisking and resulted in sustained vibrissae protraction. In vivo recording of opto-tagged vIRtPV neurons in awake mice showed that these cells spike tonically when animals are at rest, and transition to rhythmic bursting at the onset of whisking, suggesting that rhythm generation is probably the result of network dynamics, as opposed to intrinsic cellular properties. Notably, ablating inhibitory synaptic inputs to vIRtPV neurons quenched their rhythmic bursting, impaired the tonic-to-bursting transition and abolished regular whisking. Thus, the whisking oscillator is an all-inhibitory network and recurrent synaptic inhibition has a key role in its rhythmogenesis.
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Affiliation(s)
- Jun Takatoh
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Neurobiology, Duke University, Durham, NC, USA.
| | - Vincent Prevosto
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - P M Thompson
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Jinghao Lu
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - Leeyup Chung
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Andrew Harrahill
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Shun Li
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - Shengli Zhao
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - Zhigang He
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - David Golomb
- Department of Physiology and Cell Biology, Ben Gurion University, Be'er Sheva, Israel
- Department of Physics, Ben Gurion University, Be'er Sheva, Israel
- Zlotowski Center for Neuroscience, Ben Gurion University, Be'er Sheva, Israel
| | - David Kleinfeld
- Department of Physics, University of California at San Diego, La Jolla, CA, USA
- Department of Neurobiology, University of California at San Diego, La Jolla, CA, USA
| | - Fan Wang
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Neurobiology, Duke University, Durham, NC, USA.
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5
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Takatoh J, Park JH, Lu J, Li S, Thompson PM, Han BX, Zhao S, Kleinfeld D, Friedman B, Wang F. Constructing an adult orofacial premotor atlas in Allen mouse CCF. eLife 2021; 10:67291. [PMID: 33904410 PMCID: PMC8137149 DOI: 10.7554/elife.67291] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [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: 02/06/2021] [Accepted: 04/26/2021] [Indexed: 12/19/2022] Open
Abstract
Premotor circuits in the brainstem project to pools of orofacial motoneurons to execute essential motor action such as licking, chewing, breathing, and in rodent, whisking. Previous transsynaptic tracing studies only mapped orofacial premotor circuits in neonatal mice, but the adult circuits remain unknown as a consequence of technical difficulties. Here, we developed a three-step monosynaptic transsynaptic tracing strategy to identify premotor neurons controlling vibrissa, tongue protrusion, and jaw-closing muscles in the adult mouse. We registered these different groups of premotor neurons onto the Allen mouse brain common coordinate framework (CCF) and consequently generated a combined 3D orofacial premotor atlas, revealing unique spatial organizations of distinct premotor circuits. We further uncovered premotor neurons that simultaneously innervate multiple motor nuclei and, consequently, are likely to coordinate different muscles involved in the same orofacial motor actions. Our method for tracing adult premotor circuits and registering to Allen CCF is generally applicable and should facilitate the investigations of motor controls of diverse behaviors.
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Affiliation(s)
- Jun Takatoh
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.,Department of Neurobiology, Duke University, Durham, United States
| | - Jae Hong Park
- Department of Biomedical Engineering, Duke University, Durham, United States
| | - Jinghao Lu
- Department of Neurobiology, Duke University, Durham, United States
| | - Shun Li
- Department of Neurobiology, Duke University, Durham, United States
| | - P M Thompson
- Department of Biomedical Engineering, Duke University, Durham, United States
| | - Bao-Xia Han
- Department of Neurobiology, Duke University, Durham, United States
| | - Shengli Zhao
- Department of Neurobiology, Duke University, Durham, United States
| | - David Kleinfeld
- Section of Neurobiology, University of California at San Diego, San Diego, United States.,Department of Physics, University of California at San Diego, San Diego, United States
| | - Beth Friedman
- Department of Computer Science and Engineering, University of California at San Diego, San Diego, United States
| | - Fan Wang
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.,Department of Neurobiology, Duke University, Durham, United States.,Department of Biomedical Engineering, Duke University, Durham, United States
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6
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Kelly S, Jahanshad N, Zalesky A, Kochunov P, Agartz I, Alloza C, Andreassen OA, Arango C, Banaj N, Bouix S, Bousman CA, Brouwer RM, Bruggemann J, Bustillo J, Cahn W, Calhoun V, Cannon D, Carr V, Catts S, Chen J, Chen JX, Chen X, Chiapponi C, Cho KK, Ciullo V, Corvin AS, Crespo-Facorro B, Cropley V, De Rossi P, Diaz-Caneja CM, Dickie EW, Ehrlich S, Fan FM, Faskowitz J, Fatouros-Bergman H, Flyckt L, Ford JM, Fouche JP, Fukunaga M, Gill M, Glahn DC, Gollub R, Goudzwaard ED, Guo H, Gur RE, Gur RC, Gurholt TP, Hashimoto R, Hatton SN, Henskens FA, Hibar DP, Hickie IB, Hong LE, Horacek J, Howells FM, Hulshoff Pol HE, Hyde CL, Isaev D, Jablensky A, Jansen PR, Janssen J, Jönsson EG, Jung LA, Kahn RS, Kikinis Z, Liu K, Klauser P, Knöchel C, Kubicki M, Lagopoulos J, Langen C, Lawrie S, Lenroot RK, Lim KO, Lopez-Jaramillo C, Lyall A, Magnotta V, Mandl RCW, Mathalon DH, McCarley RW, McCarthy-Jones S, McDonald C, McEwen S, McIntosh A, Melicher T, Mesholam-Gately RI, Michie PT, Mowry B, Mueller BA, Newell DT, O'Donnell P, Oertel-Knöchel V, Oestreich L, Paciga SA, Pantelis C, Pasternak O, Pearlson G, Pellicano GR, Pereira A, Pineda Zapata J, Piras F, Potkin SG, Preda A, Rasser PE, Roalf DR, Roiz R, Roos A, Rotenberg D, Satterthwaite TD, Savadjiev P, Schall U, Scott RJ, Seal ML, Seidman LJ, Shannon Weickert C, Whelan CD, Shenton ME, Kwon JS, Spalletta G, Spaniel F, Sprooten E, Stäblein M, Stein DJ, Sundram S, Tan Y, Tan S, Tang S, Temmingh HS, Westlye LT, Tønnesen S, Tordesillas-Gutierrez D, Doan NT, Vaidya J, van Haren NEM, Vargas CD, Vecchio D, Velakoulis D, Voineskos A, Voyvodic JQ, Wang Z, Wan P, Wei D, Weickert TW, Whalley H, White T, Whitford TJ, Wojcik JD, Xiang H, Xie Z, Yamamori H, Yang F, Yao N, Zhang G, Zhao J, van Erp TGM, Turner J, Thompson PM, Donohoe G. Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group. Mol Psychiatry 2018; 23:1261-1269. [PMID: 29038599 PMCID: PMC5984078 DOI: 10.1038/mp.2017.170] [Citation(s) in RCA: 412] [Impact Index Per Article: 68.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 05/02/2017] [Accepted: 06/07/2017] [Indexed: 12/15/2022]
Abstract
The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what we believe is the first ever large-scale coordinated study of WM microstructural differences in schizophrenia. Our analysis consisted of 2359 healthy controls and 1963 schizophrenia patients from 29 independent international studies; we harmonized the processing and statistical analyses of diffusion tensor imaging (DTI) data across sites and meta-analyzed effects across studies. Significant reductions in fractional anisotropy (FA) in schizophrenia patients were widespread, and detected in 20 of 25 regions of interest within a WM skeleton representing all major WM fasciculi. Effect sizes varied by region, peaking at (d=0.42) for the entire WM skeleton, driven more by peripheral areas as opposed to the core WM where regions of interest were defined. The anterior corona radiata (d=0.40) and corpus callosum (d=0.39), specifically its body (d=0.39) and genu (d=0.37), showed greatest effects. Significant decreases, to lesser degrees, were observed in almost all regions analyzed. Larger effect sizes were observed for FA than diffusivity measures; significantly higher mean and radial diffusivity was observed for schizophrenia patients compared with controls. No significant effects of age at onset of schizophrenia or medication dosage were detected. As the largest coordinated analysis of WM differences in a psychiatric disorder to date, the present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide. Interactive three-dimensional visualization of the results is available at www.enigma-viewer.org.
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Affiliation(s)
- S Kelly
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA,Harvard Medical School, Boston, MA, USA,Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA. E-mail:
| | - N Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - C Alloza
- University of Edinburgh, Edinburgh, UK
| | | | - C Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - N Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - S Bouix
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - C A Bousman
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Department of General Practice, The University of Melbourne, Parkville, VIC, Australia,Swinburne University of Technology, Melbourne, VIC, Australia
| | - R M Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J Bruggemann
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J Bustillo
- University of New Mexico, Albuquerque, NM, USA
| | - W Cahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - V Calhoun
- The Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA,The Mind Research Network, Albuquerque, NM, USA
| | - D Cannon
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - V Carr
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S Catts
- Discipline of Psychiatry, School of Medicine, University of Queensland, Herston, QLD, Australia
| | - J Chen
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
| | - J-x Chen
- Beijing Huilongguan Hospital, Beijing, China
| | - X Chen
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | | | - Kl K Cho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - V Ciullo
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - A S Corvin
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - B Crespo-Facorro
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - V Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P De Rossi
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Department NESMOS, Faculty of Medicine and Psychology, University ‘Sapienza’ of Rome, Rome, Italy,Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - C M Diaz-Caneja
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - E W Dickie
- Center for Addiction and Mental Health, Toronto, ON, Canada
| | - S Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Technische Universität Dresden, Faculty of Medicine, University Hospital C.G. Carus, Dresden, Germany
| | - F-m Fan
- Beijing Huilongguan Hospital, Beijing, China
| | - J Faskowitz
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - H Fatouros-Bergman
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - L Flyckt
- University of New South Wales, School of Psychiatry, Sydney, NSW, Australia,The University of Queensland, Queensland Brain Institute and Centre for Advanced Imaging, Brisbane, QLD, Australia
| | - J M Ford
- University of California, VAMC, San Francisco, CA, USA
| | - J-P Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - M Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - M Gill
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - D C Glahn
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - R Gollub
- Harvard Medical School, Boston, MA, USA,Departments of Psychiatry and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - E D Goudzwaard
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - H Guo
- Zhumadian Psychiatry Hospital, Henan Province, China
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - T P Gurholt
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - S N Hatton
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - F A Henskens
- School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia,Health Behaviour Research Group, University of Newcastle, Callaghan, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - D P Hibar
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - I B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - L E Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - J Horacek
- National Institute of Mental Health, Klecany, Czech Republic,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - F M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - H E Hulshoff Pol
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C L Hyde
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - D Isaev
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - A Jablensky
- University of Western Australia, Perth, WA, Australia
| | - P R Jansen
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - J Janssen
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E G Jönsson
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - L A Jung
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Z Kikinis
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - K Liu
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P Klauser
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia,Department of Psychiatry, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - C Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - M Kubicki
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Lagopoulos
- Sunshine Coast Mind and Neuroscience Institute, University of the Sunshine Coast QLD, Australia, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - C Langen
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Lawrie
- University of Edinburgh, Edinburgh, UK
| | - R K Lenroot
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - K O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - C Lopez-Jaramillo
- Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Mood Disorder Program, Hospital Universitario San Vicente Fundación, Medellín, Colombia
| | - A Lyall
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - R C W Mandl
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D H Mathalon
- University of California, VAMC, San Francisco, CA, USA
| | | | - S McCarthy-Jones
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - C McDonald
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - S McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - T Melicher
- Third Faculty of Medicine, Charles University, Prague, Czech Republic,The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - R I Mesholam-Gately
- Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - P T Michie
- Hunter Medical Research Institute, Newcastle, NSW, Australia,The University of Newcastle, Newcastle, NSW, Australia,Schizophrenia Research Institute, Sydney, NSW, Australia
| | - B Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia and Queensland Centre for Mental Health Research, Brisbane and Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - B A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - D T Newell
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - P O'Donnell
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - V Oertel-Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - L Oestreich
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia and Queensland Centre for Mental Health Research, Brisbane and Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - S A Paciga
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Schizophrenia Research Institute, Sydney, NSW, Australia,Centre for Neural Engineering (CfNE), Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia
| | - O Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - G Pearlson
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - G R Pellicano
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - A Pereira
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | | | - F Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,School of Biomedical Sciences, Faculty of Health, the University of Newcastle, Callaghan, NSW, Australia
| | - S G Potkin
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - A Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - P E Rasser
- Hunter Medical Research Institute, Newcastle, NSW, Australia,Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - D R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - R Roiz
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - A Roos
- SU/UCT MRC Unit on Anxiety and Stress Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - D Rotenberg
- Center for Addiction and Mental Health, Toronto, ON, Canada
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - P Savadjiev
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - U Schall
- Hunter Medical Research Institute, Newcastle, NSW, Australia,Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - R J Scott
- Hunter Medical Research Institute, Newcastle, NSW, Australia,School of Biomedical Sciences, Faculty of Health, the University of Newcastle, Callaghan, NSW, Australia
| | - M L Seal
- Murdoch Childrens Research Institute, The Royal Children’s Hospital, Parkville, VIC, Australia
| | - L J Seidman
- Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - C Shannon Weickert
- Schizophrenia Research Institute, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - C D Whelan
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - M E Shenton
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,VA Boston Healthcare System, Boston, MA, USA
| | - J S Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - G Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - F Spaniel
- National Institute of Mental Health, Klecany, Czech Republic,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - E Sprooten
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - M Stäblein
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,Department of Psychiatry and MRC Unit on Anxiety and Stress Disorders, University of Cape Town, Cape Town, South Africa
| | - S Sundram
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Department of Psychiatry, School of Clinical Sciences, Monash University and Monash Health, Clayton, VIC, Australia
| | - Y Tan
- Beijing Huilongguan Hospital, Beijing, China
| | - S Tan
- Beijing Huilongguan Hospital, Beijing, China
| | - S Tang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - H S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - L T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - S Tønnesen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - D Tordesillas-Gutierrez
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain,Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | - N T Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - J Vaidya
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - N E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C D Vargas
- Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - D Vecchio
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - D Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - A Voineskos
- Kimel Family Translational Imaging-Genetics Research Laboratory, Campbell Family Mental Health Research Institute, CAMH Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - J Q Voyvodic
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Z Wang
- Beijing Huilongguan Hospital, Beijing, China
| | - P Wan
- Zhumadian Psychiatry Hospital, Henan Province, China
| | - D Wei
- Luoyang Fifth People's Hospital, Henan Province, China
| | - T W Weickert
- Schizophrenia Research Institute, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - H Whalley
- University of Edinburgh, Edinburgh, UK
| | - T White
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - T J Whitford
- University of New South Wales, School of Psychiatry, Sydney, NSW, Australia
| | - J D Wojcik
- Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - H Xiang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - Z Xie
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - H Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - F Yang
- Beijing Huilongguan Hospital, Beijing, China
| | - N Yao
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - G Zhang
- Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA
| | - J Zhao
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland,School of Psychology, Shaanxi Normal University and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi’an, Shaanxi, China
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - J Turner
- Psychology Department & Neuroscience Institute, Georgia State University, Atlanta, GA, USA
| | - P M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - G Donohoe
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
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7
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Hibar DP, Westlye LT, Doan NT, Jahanshad N, Cheung JW, Ching CRK, Versace A, Bilderbeck AC, Uhlmann A, Mwangi B, Krämer B, Overs B, Hartberg CB, Abé C, Dima D, Grotegerd D, Sprooten E, Bøen E, Jimenez E, Howells FM, Delvecchio G, Temmingh H, Starke J, Almeida JRC, Goikolea JM, Houenou J, Beard LM, Rauer L, Abramovic L, Bonnin M, Ponteduro MF, Keil M, Rive MM, Yao N, Yalin N, Najt P, Rosa PG, Redlich R, Trost S, Hagenaars S, Fears SC, Alonso-Lana S, van Erp TGM, Nickson T, Chaim-Avancini TM, Meier TB, Elvsåshagen T, Haukvik UK, Lee WH, Schene AH, Lloyd AJ, Young AH, Nugent A, Dale AM, Pfennig A, McIntosh AM, Lafer B, Baune BT, Ekman CJ, Zarate CA, Bearden CE, Henry C, Simhandl C, McDonald C, Bourne C, Stein DJ, Wolf DH, Cannon DM, Glahn DC, Veltman DJ, Pomarol-Clotet E, Vieta E, Canales-Rodriguez EJ, Nery FG, Duran FLS, Busatto GF, Roberts G, Pearlson GD, Goodwin GM, Kugel H, Whalley HC, Ruhe HG, Soares JC, Fullerton JM, Rybakowski JK, Savitz J, Chaim KT, Fatjó-Vilas M, Soeiro-de-Souza MG, Boks MP, Zanetti MV, Otaduy MCG, Schaufelberger MS, Alda M, Ingvar M, Phillips ML, Kempton MJ, Bauer M, Landén M, Lawrence NS, van Haren NEM, Horn NR, Freimer NB, Gruber O, Schofield PR, Mitchell PB, Kahn RS, Lenroot R, Machado-Vieira R, Ophoff RA, Sarró S, Frangou S, Satterthwaite TD, Hajek T, Dannlowski U, Malt UF, Arolt V, Gattaz WF, Drevets WC, Caseras X, Agartz I, Thompson PM, Andreassen OA. Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Mol Psychiatry 2018; 23:932-942. [PMID: 28461699 PMCID: PMC5668195 DOI: 10.1038/mp.2017.73] [Citation(s) in RCA: 422] [Impact Index Per Article: 70.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 02/04/2017] [Accepted: 02/10/2017] [Indexed: 12/13/2022]
Abstract
Despite decades of research, the pathophysiology of bipolar disorder (BD) is still not well understood. Structural brain differences have been associated with BD, but results from neuroimaging studies have been inconsistent. To address this, we performed the largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of 6503 individuals including 1837 unrelated adults with BD and 2582 unrelated healthy controls for group differences while also examining the effects of commonly prescribed medications, age of illness onset, history of psychosis, mood state, age and sex differences on cortical regions. In BD, cortical gray matter was thinner in frontal, temporal and parietal regions of both brain hemispheres. BD had the strongest effects on left pars opercularis (Cohen's d=-0.293; P=1.71 × 10-21), left fusiform gyrus (d=-0.288; P=8.25 × 10-21) and left rostral middle frontal cortex (d=-0.276; P=2.99 × 10-19). Longer duration of illness (after accounting for age at the time of scanning) was associated with reduced cortical thickness in frontal, medial parietal and occipital regions. We found that several commonly prescribed medications, including lithium, antiepileptic and antipsychotic treatment showed significant associations with cortical thickness and surface area, even after accounting for patients who received multiple medications. We found evidence of reduced cortical surface area associated with a history of psychosis but no associations with mood state at the time of scanning. Our analysis revealed previously undetected associations and provides an extensive analysis of potential confounding variables in neuroimaging studies of BD.
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Affiliation(s)
- D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Janssen Research & Development, San Diego, CA, USA
| | - L T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - N T Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - C R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Neuroscience Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - A Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - A C Bilderbeck
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - A Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - B Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - B Overs
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - C B Hartberg
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - C Abé
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - D Dima
- Department of Psychology, City University London, London, UK,Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - D Grotegerd
- Department of Psychiatry, University of Münster, Münster, Germany
| | - E Sprooten
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - E Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - E Jimenez
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - F M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - G Delvecchio
- IRCCS "E. Medea" Scientific Institute, San Vito al Tagliamento, Italy
| | - H Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J Starke
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J R C Almeida
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - J M Goikolea
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - J Houenou
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif Sur Yvette, France
| | - L M Beard
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - L Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - L Abramovic
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Bonnin
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - M F Ponteduro
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Keil
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - M M Rive
- Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - N Yao
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - N Yalin
- Centre for Affective Disorders, King’s College London, London, UK
| | - P Najt
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - P G Rosa
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - R Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - S Trost
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - S Hagenaars
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S C Fears
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA,West Los Angeles Veterans Administration, Los Angeles, CA, USA
| | - S Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - T M Chaim-Avancini
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - T B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA,Laureate Institute for Brain Research, Tulsa, OK, USA
| | - T Elvsåshagen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - U K Haukvik
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Adult Psychiatry, University of Oslo, Oslo, Norway
| | - W H Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands,Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - A J Lloyd
- Academic Psychiatry and Northern Centre for Mood Disorders, Newcastle University/Northumberland Tyne & Wear NHS Foundation Trust, Newcastle, UK
| | - A H Young
- Centre for Affective Disorders, King’s College London, London, UK
| | - A Nugent
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - A M Dale
- MMIL, Department of Radiology, University of California San Diego, San Diego, CA, USA,Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B Lafer
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - B T Baune
- Department of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - C J Ekman
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - C A Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - C 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, Los Angeles, CA, USA
| | - C Henry
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,Institut Pasteur, Unité Perception et Mémoire, Paris, France
| | - C Simhandl
- Bipolar Center Wiener Neustadt, Wiener Neustadt, Austria
| | - C McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C Bourne
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Department of Psychology & Counselling, Newman University, Birmingham, UK
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - D H Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - D M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - D J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - E Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - E Vieta
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - E J Canales-Rodriguez
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - F G Nery
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - F L S Duran
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G F Busatto
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G Roberts
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - G M Goodwin
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - H Kugel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H G Ruhe
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands,Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J M Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - J Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA,Faculty of Community Medicine, The University of Tulsa, Tulsa, OK, USA
| | - K T Chaim
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - M G Soeiro-de-Souza
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - M P Boks
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M V Zanetti
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M C G Otaduy
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M S Schaufelberger
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - M Ingvar
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - M L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - M J Kempton
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - M Landén
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the Gothenburg University, Goteborg, Sweden
| | - N S Lawrence
- Department of Psychology, University of Exeter, Exeter, UK
| | - N E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - N R Horn
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - N B Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - P B Mitchell
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R Lenroot
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Machado-Vieira
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - R A Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - S Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - S Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada,National Institute of Mental Health, Klecany, Czech Republic
| | - U Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - U F Malt
- Division of Clinical Neuroscience, Department of Research and Education, Oslo University Hospital, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - V Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - W F Gattaz
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - W C Drevets
- Janssen Research & Development, Titusville, NJ, USA
| | - X Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - O A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,NORMENT, KG Jebsen Centre for Psychosis Research—TOP Study, Oslo University Hospital, Ullevål, Building 49, Kirkeveien 166, PO Box 4956, Nydalen, 0424, Oslo, Norway. E-mail:
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8
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Cheney B, Wells RS, Barton TR, Thompson PM. Laser photogrammetry reveals variation in growth and early survival in free-ranging bottlenose dolphins. Anim Conserv 2017. [DOI: 10.1111/acv.12384] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- B. Cheney
- Institute of Biological and Environmental Science; University of Aberdeen; Lighthouse Field Station Cromarty UK
| | - R. S. Wells
- Sarasota Dolphin Research Program; Chicago Zoological Society, c/o Mote Marine Laboratory; Sarasota FL USA
| | - T. R. Barton
- Institute of Biological and Environmental Science; University of Aberdeen; Lighthouse Field Station Cromarty UK
| | - P. M. Thompson
- Institute of Biological and Environmental Science; University of Aberdeen; Lighthouse Field Station Cromarty UK
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9
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Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, Cheung JW, van Erp TGM, Bos D, Ikram MA, Vernooij MW, Niessen WJ, Tiemeier H, Hofman A, Wittfeld K, Grabe HJ, Janowitz D, Bülow R, Selonke M, Völzke H, Grotegerd D, Dannlowski U, Arolt V, Opel N, Heindel W, Kugel H, Hoehn D, Czisch M, Couvy-Duchesne B, Rentería ME, Strike LT, Wright MJ, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Goya-Maldonado R, Gruber O, Krämer B, Hatton SN, Lagopoulos J, Hickie IB, Frodl T, Carballedo A, Frey EM, van Velzen LS, Penninx BWJH, van Tol MJ, van der Wee NJ, Davey CG, Harrison BJ, Mwangi B, Cao B, Soares JC, Veer IM, Walter H, Schoepf D, Zurowski B, Konrad C, Schramm E, Normann C, Schnell K, Sacchet MD, Gotlib IH, MacQueen GM, Godlewska BR, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Hall J, Sussmann JE, Li M, Walter M, Aftanas L, Brack I, Bokhan NA, Thompson PM, Veltman DJ. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry 2017; 22:900-909. [PMID: 27137745 PMCID: PMC5444023 DOI: 10.1038/mp.2016.60] [Citation(s) in RCA: 687] [Impact Index Per Article: 98.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 02/25/2016] [Accepted: 03/17/2016] [Indexed: 12/20/2022]
Abstract
The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
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Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - P G Sämann
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - D Bos
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M W Vernooij
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - D Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - R Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - M Selonke
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), partner site Griefswald, Greifswald, Germany
- German Center for Diabetes Research (DZD), partner site Griefswald, Greifswald, Germany
| | - D Grotegerd
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - U Dannlowski
- Department of Psychiatry, University of Muenster, Muenster, Germany
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - V Arolt
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - N Opel
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - W Heindel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - H Kugel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - D Hoehn
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - M Czisch
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - B Couvy-Duchesne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - M E Rentería
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - L T Strike
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - N T Mills
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - G I de Zubicaray
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - R Goya-Maldonado
- Centre for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August-University, Göttingen, Germany
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - T Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - A Carballedo
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - E M Frey
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M-J van Tol
- Neuroimaging Center, Section of Cognitive Neuropsychiatry, Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
| | - C G Davey
- 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
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B Mwangi
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Cao
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J C Soares
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - D Schoepf
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - C Konrad
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum Rotenburg, Rotenburg, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - K Schnell
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - M D Sacchet
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - I H Gotlib
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - G M MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - B R Godlewska
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cogntive Ageing and Cogntive Epidemiology, University of Edinburgh, Edinburg, UK
| | - M Papmeyer
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Division of Systems Neuroscience of Psychopathology, Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - J Hall
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Department of Psychiatry, NHS Borders, Melrose, UK
| | - M Li
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - M Walter
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry, University Tübingen, Tübingen, Germany
| | - L Aftanas
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - I Brack
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - N A Bokhan
- Mental Health Research Institute, Tomsk, Russia
- Faculty of Psychology, National Research Tomsk State University, Tomsk, Russia
- Department of General Medicine, Siberian State Medical University, Tomsk, Russia
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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10
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Hibar DP, Westlye LT, van Erp TGM, Rasmussen J, Leonardo CD, Faskowitz J, Haukvik UK, Hartberg CB, Doan NT, Agartz I, Dale AM, Gruber O, Krämer B, Trost S, Liberg B, Abé C, Ekman CJ, Ingvar M, Landén M, Fears SC, Freimer NB, Bearden CE, Sprooten E, Glahn DC, Pearlson GD, Emsell L, Kenney J, Scanlon C, McDonald C, Cannon DM, Almeida J, Versace A, Caseras X, Lawrence NS, Phillips ML, Dima D, Delvecchio G, Frangou S, Satterthwaite TD, Wolf D, Houenou J, Henry C, Malt UF, Bøen E, Elvsåshagen T, Young AH, Lloyd AJ, Goodwin GM, Mackay CE, Bourne C, Bilderbeck A, Abramovic L, Boks MP, van Haren NEM, Ophoff RA, Kahn RS, Bauer M, Pfennig A, Alda M, Hajek T, Mwangi B, Soares JC, Nickson T, Dimitrova R, Sussmann JE, Hagenaars S, Whalley HC, McIntosh AM, Thompson PM, Andreassen OA. Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry 2016; 21:1710-1716. [PMID: 26857596 PMCID: PMC5116479 DOI: 10.1038/mp.2015.227] [Citation(s) in RCA: 310] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 12/08/2015] [Accepted: 12/11/2015] [Indexed: 11/29/2022]
Abstract
Considerable uncertainty exists about the defining brain changes associated with bipolar disorder (BD). Understanding and quantifying the sources of uncertainty can help generate novel clinical hypotheses about etiology and assist in the development of biomarkers for indexing disease progression and prognosis. Here we were interested in quantifying case-control differences in intracranial volume (ICV) and each of eight subcortical brain measures: nucleus accumbens, amygdala, caudate, hippocampus, globus pallidus, putamen, thalamus, lateral ventricles. In a large study of 1710 BD patients and 2594 healthy controls, we found consistent volumetric reductions in BD patients for mean hippocampus (Cohen's d=-0.232; P=3.50 × 10-7) and thalamus (d=-0.148; P=4.27 × 10-3) and enlarged lateral ventricles (d=-0.260; P=3.93 × 10-5) in patients. No significant effect of age at illness onset was detected. Stratifying patients based on clinical subtype (BD type I or type II) revealed that BDI patients had significantly larger lateral ventricles and smaller hippocampus and amygdala than controls. However, when comparing BDI and BDII patients directly, we did not detect any significant differences in brain volume. This likely represents similar etiology between BD subtype classifications. Exploratory analyses revealed significantly larger thalamic volumes in patients taking lithium compared with patients not taking lithium. We detected no significant differences between BDII patients and controls in the largest such comparison to date. Findings in this study should be interpreted with caution and with careful consideration of the limitations inherent to meta-analyzed neuroimaging comparisons.
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Affiliation(s)
- D P Hibar
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - L T Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - J Rasmussen
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - C D Leonardo
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - J Faskowitz
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - U K Haukvik
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - C B Hartberg
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - N T Doan
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - I Agartz
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - A M Dale
- MMIL, Department of Radiology, University of California, San Diego, CA, USA
- Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, CA, USA
| | - O Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Krämer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
| | - S Trost
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
| | - B Liberg
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - C Abé
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - C J Ekman
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - M Ingvar
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
- Karolinska MR Research Center, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - M Landén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - S C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - N B Freimer
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - C E Bearden
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - the Costa Rica/Colombia Consortium for Genetic Investigation of Bipolar Endophenotypes
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- MMIL, Department of Radiology, University of California, San Diego, CA, USA
- Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, CA, USA
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
- Karolinska MR Research Center, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Brown University, Providence, RI, USA
- Department of Psychiatry, University of Pittsburgh, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- School of Psychology, University of Exeter, Exeter, UK
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Neurospin, Uniact, I2BM, CEA Saclay, Saclay, France
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- Université Paris-Est, UMR-S955, UPEC, Créteil, France
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Education, Oslo University Hospital, Oslo, Norway
- Norwegian Research Network On Mood Disorders, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Centre for Affective Disorders, King's College London, London, UK
- Academic Psychiatry and Regional Affective Disorders Service, Newcastle University, Newcastle, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology and Counselling, Newman University, Birmingham, UK
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
- Department of Psychiatry, Dalhousie University, Halifax, Canada
- National Institute of Mental Health, Klecany, Czech Republic
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - E Sprooten
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
| | - L Emsell
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - J Kenney
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C Scanlon
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C McDonald
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - D M Cannon
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - J Almeida
- Department of Psychiatry, Brown University, Providence, RI, USA
| | - A Versace
- Department of Psychiatry, University of Pittsburgh, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
| | - X Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - N S Lawrence
- School of Psychology, University of Exeter, Exeter, UK
| | - M L Phillips
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - D Dima
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - G Delvecchio
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - S Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J Houenou
- Neurospin, Uniact, I2BM, CEA Saclay, Saclay, France
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
| | - C Henry
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- Université Paris-Est, UMR-S955, UPEC, Créteil, France
| | - U F Malt
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Education, Oslo University Hospital, Oslo, Norway
| | - E Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Norwegian Research Network On Mood Disorders, Oslo, Norway
| | - T Elvsåshagen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - A H Young
- Centre for Affective Disorders, King's College London, London, UK
| | - A J Lloyd
- Academic Psychiatry and Regional Affective Disorders Service, Newcastle University, Newcastle, UK
| | - G M Goodwin
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - C E Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - C Bourne
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology and Counselling, Newman University, Birmingham, UK
| | - A Bilderbeck
- Department of Psychiatry, University of Oxford, Oxford, UK
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK
| | - L Abramovic
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - M P Boks
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - N E M van Haren
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - R A Ophoff
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - R S Kahn
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - M Bauer
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, Canada
| | - T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - B Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - J C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - R Dimitrova
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S Hagenaars
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - P M Thompson
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - O A Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
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11
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Okada N, Fukunaga M, Yamashita F, Koshiyama D, Yamamori H, Ohi K, Yasuda Y, Fujimoto M, Watanabe Y, Yahata N, Nemoto K, Hibar DP, van Erp TGM, Fujino H, Isobe M, Isomura S, Natsubori T, Narita H, Hashimoto N, Miyata J, Koike S, Takahashi T, Yamasue H, Matsuo K, Onitsuka T, Iidaka T, Kawasaki Y, Yoshimura R, Watanabe Y, Suzuki M, Turner JA, Takeda M, Thompson PM, Ozaki N, Kasai K, Hashimoto R. Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol Psychiatry 2016; 21:1460-6. [PMID: 26782053 PMCID: PMC5030462 DOI: 10.1038/mp.2015.209] [Citation(s) in RCA: 238] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 11/06/2015] [Accepted: 11/13/2015] [Indexed: 12/31/2022]
Abstract
Subcortical structures, which include the basal ganglia and parts of the limbic system, have key roles in learning, motor control and emotion, but also contribute to higher-order executive functions. Prior studies have reported volumetric alterations in subcortical regions in schizophrenia. Reported results have sometimes been heterogeneous, and few large-scale investigations have been conducted. Moreover, few large-scale studies have assessed asymmetries of subcortical volumes in schizophrenia. Here, as a work completely independent of a study performed by the ENIGMA consortium, we conducted a large-scale multisite study of subcortical volumetric differences between patients with schizophrenia and controls. We also explored the laterality of subcortical regions to identify characteristic similarities and differences between them. T1-weighted images from 1680 healthy individuals and 884 patients with schizophrenia, obtained with 15 imaging protocols at 11 sites, were processed with FreeSurfer. Group differences were calculated for each protocol and meta-analyzed. Compared with controls, patients with schizophrenia demonstrated smaller bilateral hippocampus, amygdala, thalamus and accumbens volumes as well as intracranial volume, but larger bilateral caudate, putamen, pallidum and lateral ventricle volumes. We replicated the rank order of effect sizes for subcortical volumetric changes in schizophrenia reported by the ENIGMA consortium. Further, we revealed leftward asymmetry for thalamus, lateral ventricle, caudate and putamen volumes, and rightward asymmetry for amygdala and hippocampal volumes in both controls and patients with schizophrenia. Also, we demonstrated a schizophrenia-specific leftward asymmetry for pallidum volume. These findings suggest the possibility of aberrant laterality in neural pathways and connectivity patterns related to the pallidum in schizophrenia.
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Affiliation(s)
- N Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - M Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - F Yamashita
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - D Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - H Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - K Ohi
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Y Yasuda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - M Fujimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Y Watanabe
- Department of Radiology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - N Yahata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan
| | - K Nemoto
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - D P Hibar
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - H Fujino
- Graduate School of Human Sciences, Osaka University, Osaka, Japan
| | - M Isobe
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - S Isomura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Natsubori
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - H Narita
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - N Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - J Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - S Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Office for Mental Health Support, Division for Counseling and Support, The University of Tokyo, Tokyo, Japan
| | - T Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - H Yamasue
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - K Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - T Onitsuka
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Iidaka
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Y Kawasaki
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - R Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Fukuoka, Japan
| | - Y Watanabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - M Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - J A Turner
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Department of Neuroscience, Georgia State University, Atlanta, GA, USA
| | - M Takeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - P M Thompson
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
| | - N Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - K Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - R Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - COCORO
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Radiology, Osaka University Graduate School of Medicine, Osaka, Japan
- Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Graduate School of Human Sciences, Osaka University, Osaka, Japan
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
- Office for Mental Health Support, Division for Counseling and Support, The University of Tokyo, Tokyo, Japan
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
- Department of Psychiatry, University of Occupational and Environmental Health, Fukuoka, Japan
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Department of Neuroscience, Georgia State University, Atlanta, GA, USA
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
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12
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Schmaal L, Veltman DJ, van Erp TGM, Sämann PG, Frodl T, Jahanshad N, Loehrer E, Tiemeier H, Hofman A, Niessen WJ, Vernooij MW, Ikram MA, Wittfeld K, Grabe HJ, Block A, Hegenscheid K, Völzke H, Hoehn D, Czisch M, Lagopoulos J, Hatton SN, Hickie IB, Goya-Maldonado R, Krämer B, Gruber O, Couvy-Duchesne B, Rentería ME, Strike LT, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Wright MJ, Hall GB, MacQueen GM, Frey EM, Carballedo A, van Velzen LS, van Tol MJ, van der Wee NJ, Veer IM, Walter H, Schnell K, Schramm E, Normann C, Schoepf D, Konrad C, Zurowski B, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Sussmann JE, Godlewska BR, Cowen PJ, Fischer FH, Rose M, Penninx BWJH, Thompson PM, Hibar DP. Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry 2016; 21:806-12. [PMID: 26122586 PMCID: PMC4879183 DOI: 10.1038/mp.2015.69] [Citation(s) in RCA: 677] [Impact Index Per Article: 84.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 03/13/2015] [Accepted: 04/01/2015] [Indexed: 11/09/2022]
Abstract
The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved. This is in part due to small sample sizes of neuroimaging studies resulting in limited statistical power, disease heterogeneity and the complex interactions between clinical characteristics and brain morphology. To address this, we meta-analyzed three-dimensional brain magnetic resonance imaging data from 1728 MDD patients and 7199 controls from 15 research samples worldwide, to identify subcortical brain volumes that robustly discriminate MDD patients from healthy controls. Relative to controls, patients had significantly lower hippocampal volumes (Cohen's d=-0.14, % difference=-1.24). This effect was driven by patients with recurrent MDD (Cohen's d=-0.17, % difference=-1.44), and we detected no differences between first episode patients and controls. Age of onset ⩽21 was associated with a smaller hippocampus (Cohen's d=-0.20, % difference=-1.85) and a trend toward smaller amygdala (Cohen's d=-0.11, % difference=-1.23) and larger lateral ventricles (Cohen's d=0.12, % difference=5.11). Symptom severity at study inclusion was not associated with any regional brain volumes. Sample characteristics such as mean age, proportion of antidepressant users and proportion of remitted patients, and methodological characteristics did not significantly moderate alterations in brain volumes in MDD. Samples with a higher proportion of antipsychotic medication users showed larger caudate volumes in MDD patients compared with controls. This currently largest worldwide effort to identify subcortical brain alterations showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.
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Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands,Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, P.O. Box 74077, Amsterdam 1070 BB, The Netherlands. E-mail:
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - P G Sämann
- Max Planck Institute of Psychiatry, Munich, Germany
| | - T Frodl
- Department of Psychiatry, University of Regensburg, Regensburg, Germany,Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland
| | - N Jahanshad
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - E Loehrer
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Department of Psychiatry, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Imaging Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - M W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany,Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany,Helios Hospital Stralsund, Stralsund, Germany
| | - A Block
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - K Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - D Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - M Czisch
- Max Planck Institute of Psychiatry, Munich, Germany
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - R Goya-Maldonado
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - B Krämer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - O Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - B Couvy-Duchesne
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,School of Psychology, University of Queensland, Brisbane, QLD, Australia,Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - M E Rentería
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - L T Strike
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,School of Psychology, University of Queensland, Brisbane, QLD, Australia,Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - N T Mills
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - G I de Zubicaray
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Quantitative Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - M J Wright
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - G M MacQueen
- Department of Psychiatry, Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - E M Frey
- Department of Psychiatry, University of Regensburg, Regensburg, Germany
| | - A Carballedo
- Department of Psychiatry and Institute of Neuroscience, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M J van Tol
- University of Groningen, University Medical Center Groningen, NeuroImaging Center, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden University, Leiden, The Netherlands,Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - K Schnell
- Department of General Psychiatry, University Hospital Heidelberg, Heidelberg, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg im Breisgau, Germany
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg im Breisgau, Germany
| | - D Schoepf
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - C Konrad
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - M Papmeyer
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B R Godlewska
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - P J Cowen
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - F H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité Universitätsmedizin, Berlin, Germany,Institute for Social Medicine, Epidemology and Health Economics, Charité Universitätsmedizin, Berlin, Germany
| | - M Rose
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité Universitätsmedizin, Berlin, Germany,Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - P M Thompson
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - D P Hibar
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
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Schmaal L, Veltman DJ, van Erp TGM, Sämann PG, Frodl T, Jahanshad N, Loehrer E, Vernooij MW, Niessen WJ, Ikram MA, Wittfeld K, Grabe HJ, Block A, Hegenscheid K, Hoehn D, Czisch M, Lagopoulos J, Hatton SN, Hickie IB, Goya-Maldonado R, Krämer B, Gruber O, Couvy-Duchesne B, Rentería ME, Strike LT, Wright MJ, de Zubicaray GI, McMahon KL, Medland SE, Gillespie NA, Hall GB, van Velzen LS, van Tol MJ, van der Wee NJ, Veer IM, Walter H, Schramm E, Normann C, Schoepf D, Konrad C, Zurowski B, McIntosh AM, Whalley HC, Sussmann JE, Godlewska BR, Fischer FH, Penninx BWJH, Thompson PM, Hibar DP. Response to Dr Fried & Dr Kievit, and Dr Malhi et al. Mol Psychiatry 2016; 21:726-8. [PMID: 26903270 PMCID: PMC4876636 DOI: 10.1038/mp.2016.9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - P G Sämann
- Max Planck Institute of Psychiatry, Neuroimaging Research Group, Munich, Germany
| | - T Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University of Magdeburg, Magdeburg, Germany
- Department of Psychiatry, Trinity College, University of Dublin, Dublin, Ireland
| | - N Jahanshad
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - E Loehrer
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MS, USA
| | - M W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Helios Hospital Stralsund, Stralsund, Germany
| | - A Block
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - K Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - D Hoehn
- Max Planck Institute of Psychiatry, Neuroimaging Research Group, Munich, Germany
| | - M Czisch
- Max Planck Institute of Psychiatry, Neuroimaging Research Group, Munich, Germany
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - R Goya-Maldonado
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Gerog-August-University, Goettingen, Germany
| | - B Krämer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Gerog-August-University, Goettingen, Germany
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Couvy-Duchesne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - M E Rentería
- Department of Genetic Epidemiology, Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - L T Strike
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - G I de Zubicaray
- Faculty of Health, The Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Department of Quantitative Genetics, Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M-J van Tol
- University of Groningen, University Medical Center Groningen, Department of Neuroscience, Neuroimaging Center, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - I M Veer
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
- Psychiatric University Clinic, Basel, Switzerland
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - D Schoepf
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - C Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakoniklinikum, Rotenburg, Germany
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, UK
| | - B R Godlewska
- Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - F H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité Universitätsmedizin, Berlin, Germany
- Institute for Social Medicine, Epidemology and Health Economics, Charité Universitätsmedizin, Berlin, Germany
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - P M Thompson
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - D P Hibar
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
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14
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van Erp TGM, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MWJ, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NEM, Pol HEH, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM, Turner JA. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry 2016; 21:547-53. [PMID: 26033243 PMCID: PMC4668237 DOI: 10.1038/mp.2015.63] [Citation(s) in RCA: 596] [Impact Index Per Article: 74.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Revised: 03/05/2015] [Accepted: 03/18/2015] [Indexed: 12/17/2022]
Abstract
The profile of brain structural abnormalities in schizophrenia is still not fully understood, despite decades of research using brain scans. To validate a prospective meta-analysis approach to analyzing multicenter neuroimaging data, we analyzed brain MRI scans from 2028 schizophrenia patients and 2540 healthy controls, assessed with standardized methods at 15 centers worldwide. We identified subcortical brain volumes that differentiated patients from controls, and ranked them according to their effect sizes. Compared with healthy controls, patients with schizophrenia had smaller hippocampus (Cohen's d=-0.46), amygdala (d=-0.31), thalamus (d=-0.31), accumbens (d=-0.25) and intracranial volumes (d=-0.12), as well as larger pallidum (d=0.21) and lateral ventricle volumes (d=0.37). Putamen and pallidum volume augmentations were positively associated with duration of illness and hippocampal deficits scaled with the proportion of unmedicated patients. Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches. This first ENIGMA Schizophrenia Working Group study validates that collaborative data analyses can readily be used across brain phenotypes and disorders and encourages analysis and data sharing efforts to further our understanding of severe mental illness.
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Affiliation(s)
- T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - D P Hibar
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - J M Rasmussen
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - O A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - I Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - L T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - U K Haukvik
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - A M Dale
- MMIL, Department of Radiology, University of California, San Diego, CA, USA
- Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, CA, USA
| | - I Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - C B Hartberg
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - O Gruber
- Department of Psychiatry, University Medical Center Göttingen, Göttingen, Germany
| | - B Kraemer
- Department of Psychiatry, University Medical Center Göttingen, Göttingen, Germany
| | - D Zilles
- Department of Psychiatry, University Medical Center Göttingen, Göttingen, Germany
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University, Göttingen, Germany
| | - G Donohoe
- Cognitive Genetics and Therapy Group, School of Psychology, National University of Ireland, Galway, Ireland
- Neuropsychiatric Genetics research group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College, Dublin, Ireland
| | - S Kelly
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
- Neuropsychiatric Genetics research group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College, Dublin, Ireland
| | - C McDonald
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Ireland
| | - D W Morris
- Cognitive Genetics and Therapy Group, School of Psychology, National University of Ireland, Galway, Ireland
- Neuropsychiatric Genetics research group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College, Dublin, Ireland
| | - D M Cannon
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Ireland
| | - A Corvin
- Neuropsychiatric Genetics research group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College, Dublin, Ireland
| | - M W J Machielsen
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - L Koenders
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - L de Haan
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - D J Veltman
- University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D H Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - S G Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - D H Mathalon
- Department of Psychiatry, University of California, San Francisco, CA, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - B A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - A Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - F Macciardi
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - S Ehrlich
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Technische Universität, Dresden, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - E Walton
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Technische Universität, Dresden, Germany
| | - J Hass
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Technische Universität, Dresden, Germany
| | - V D Calhoun
- Mind Research Network, Albuquerque, NM, USA
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA
| | - H J Bockholt
- Mind Research Network, Albuquerque, NM, USA
- Advanced Biomedical Informatics Group, LLC, Iowa City, IA, USA
- The University of Iowa, Iowa City, IA, USA
| | - S R Sponheim
- Minneapolis VA Healthcare System & Department of Psychiatry, University of Minnesota, Twin Cities, MN, USA
| | | | - N E M van Haren
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H E H Pol
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R A Ophoff
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - R S Kahn
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R Roiz-Santiañez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - B Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - L Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
- Department of Radiology, Northwestern University Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - K I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - E G Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - R Dimitrova
- Division of Psychiatry, University of Edinburgh Medical School, Edinburgh, UK
| | - C Bois
- Division of Psychiatry, University of Edinburgh Medical School, Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh Medical School, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh Medical School, Edinburgh, UK
| | - S M Lawrie
- Division of Psychiatry, University of Edinburgh Medical School, Edinburgh, UK
| | - R Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - P M Thompson
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - J A Turner
- Mind Research Network, Albuquerque, NM, USA
- Departments of Psychology and Neuroscience, Georgia State University, Atlanta, GA, USA
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van Erp TGM, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MWJ, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NEM, Pol HEH, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry 2016; 21:585. [PMID: 26283641 PMCID: PMC5751698 DOI: 10.1038/mp.2015.118] [Citation(s) in RCA: 181] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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16
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Harris NG, Verley DR, Gutman BA, Thompson PM, Yeh HJ, Brown JA. Disconnection and hyper-connectivity underlie reorganization after TBI: A rodent functional connectomic analysis. Exp Neurol 2015; 277:124-138. [PMID: 26730520 DOI: 10.1016/j.expneurol.2015.12.020] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [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: 09/08/2015] [Revised: 12/01/2015] [Accepted: 12/22/2015] [Indexed: 10/22/2022]
Abstract
While past neuroimaging methods have contributed greatly to our understanding of brain function after traumatic brain injury (TBI), resting state functional MRI (rsfMRI) connectivity methods have more recently provided a far more unbiased approach with which to monitor brain circuitry compared to task-based approaches. However, current knowledge on the physiologic underpinnings of the correlated blood oxygen level dependent signal, and how changes in functional connectivity relate to reorganizational processes that occur following injury is limited. The degree and extent of this relationship remain to be determined in order that rsfMRI methods can be fully adapted for determining the optimal timing and type of rehabilitative interventions that can be used post-TBI to achieve the best outcome. Very few rsfMRI studies exist after experimental TBI and therefore we chose to acquire rsfMRI data before and at 7, 14 and 28 days after experimental TBI using a well-known, clinically-relevant, unilateral controlled cortical impact injury (CCI) adult rat model of TBI. This model was chosen since it has widespread axonal injury, a well-defined time-course of reorganization including spine, dendrite, axonal and cortical map changes, as well as spontaneous recovery of sensorimotor function by 28 d post-injury from which to interpret alterations in functional connectivity. Data were co-registered to a parcellated rat template to generate adjacency matrices for network analysis by graph theory. Making no assumptions about direction of change, we used two-tailed statistical analysis over multiple brain regions in a data-driven approach to access global and regional changes in network topology in order to assess brain connectivity in an unbiased way. Our main hypothesis was that deficits in functional connectivity would become apparent in regions known to be structurally altered or deficient in axonal connectivity in this model. The data show the loss of functional connectivity predicted by the structural deficits, not only within the primary sensorimotor injury site and pericontused regions, but the normally connected homotopic cortex, as well as subcortical regions, all of which persisted chronically. Especially novel in this study is the unanticipated finding of widespread increases in connection strength that dwarf both the degree and extent of the functional disconnections, and which persist chronically in some sensorimotor and subcortically connected regions. Exploratory global network analysis showed changes in network parameters indicative of possible acutely increased random connectivity and temporary reductions in modularity that were matched by local increases in connectedness and increased efficiency among more weakly connected regions. The global network parameters: shortest path-length, clustering coefficient and modularity that were most affected by trauma also scaled with the severity of injury, so that the corresponding regional measures were correlated to the injury severity most notably at 7 and 14 days and especially within, but not limited to, the contralateral cortex. These changes in functional network parameters are discussed in relation to the known time-course of physiologic and anatomic data that underlie structural and functional reorganization in this experiment model of TBI.
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Affiliation(s)
- N G Harris
- UCLA Brain Research Center, Department of Neurosurgery, University of California, Los Angeles, USA.
| | - D R Verley
- UCLA Brain Research Center, Department of Neurosurgery, University of California, Los Angeles, USA
| | - B A Gutman
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Department of Neurology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - P M Thompson
- Departments of Psychiatry, Engineering, Radiology, & Ophthalmology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - H J Yeh
- Department of Neurology, University of California, Los Angeles, USA
| | - J A Brown
- Department of Neurology, University of California at San Francisco School of Medicine, San Francisco, CA, USA
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17
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Raji CA, Eyre H, Wei SH, Bredesen DE, Moylan S, Law M, Small G, Thompson PM, Friedlander RM, Silverman DH, Baune BT, Hoang TA, Salamon N, Toga AW, Vernooij MW. Hot Topics in Research: Preventive Neuroradiology in Brain Aging and Cognitive Decline. AJNR Am J Neuroradiol 2015; 36:1803-9. [PMID: 26045577 DOI: 10.3174/ajnr.a4409] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2015] [Accepted: 02/23/2015] [Indexed: 01/26/2023]
Abstract
Preventive neuroradiology is a new concept supported by growing literature. The main rationale of preventive neuroradiology is the application of multimodal brain imaging toward early and subclinical detection of brain disease and subsequent preventive actions through identification of modifiable risk factors. An insightful example of this is in the area of age-related cognitive decline, mild cognitive impairment, and dementia with potentially modifiable risk factors such as obesity, diet, sleep, hypertension, diabetes, depression, supplementation, smoking, and physical activity. In studying this link between lifestyle and cognitive decline, brain imaging markers may be instrumental as quantitative measures or even indicators of early disease. The purpose of this article is to provide an overview of the major studies reflecting how lifestyle factors affect the brain and cognition aging. In this hot topics review, we will specifically focus on obesity and physical activity.
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Affiliation(s)
- C A Raji
- From the Departments of Radiology (C.A.R., S.H.W., T.A.H., N.S.)
| | - H Eyre
- Psychiatry (H.E., G.S.) Discipline of Psychiatry (H.E., B.T.B.), University of Adelaide, Adelaide, South Australia, Australia
| | - S H Wei
- From the Departments of Radiology (C.A.R., S.H.W., T.A.H., N.S.)
| | | | - S Moylan
- School of Medicine (S.M.), Deakin University, Geelong, Victoria, Australia
| | - M Law
- Department of Radiology (M.L.)
| | | | - P M Thompson
- Laboratory of Neuroimaging (P.M.T., A.W.T.), University of Southern California, Los Angeles, California
| | - R M Friedlander
- Department of Neurosurgery (R.M.F.), University of Pittsburgh, Pittsburgh, Pennsylvania
| | - D H Silverman
- Nuclear Medicine (D.H.S.), University of California at Los Angeles Medical Center, University of California at Los Angeles, Los Angeles, California
| | - B T Baune
- Discipline of Psychiatry (H.E., B.T.B.), University of Adelaide, Adelaide, South Australia, Australia
| | - T A Hoang
- From the Departments of Radiology (C.A.R., S.H.W., T.A.H., N.S.)
| | - N Salamon
- From the Departments of Radiology (C.A.R., S.H.W., T.A.H., N.S.)
| | - A W Toga
- Laboratory of Neuroimaging (P.M.T., A.W.T.), University of Southern California, Los Angeles, California
| | - M W Vernooij
- Departments of Radiology and Epidemiology (M.W.V.), Erasmus University Medical Center, Rotterdam, the Netherlands
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18
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Zhan L, Liu Y, Zhou J, Ye J, Thompson PM. Boosting Classification Accuracy of Diffusion MRI Derived Brain Networks for the Subtypes of Mild Cognitive Impairment Using Higher Order Singular Value Decomposition. Proc IEEE Int Symp Biomed Imaging 2015; 2015:131-135. [PMID: 26413202 PMCID: PMC4578228 DOI: 10.1109/isbi.2015.7163833] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Mild cognitive impairment (MCI) is an intermediate stage between normal aging and Alzheimer's disease (AD), and around 10-15% of people with MCI develop AD each year. More recently, MCI has been further subdivided into early and late stages, and there is interest in identifying sensitive brain imaging biomarkers that help to differentiate stages of MCI. Here, we focused on anatomical brain networks computed from diffusion MRI and proposed a new feature extraction and classification framework based on higher order singular value decomposition and sparse logistic regression. In tests on publicly available data from the Alzheimer's Disease Neuroimaging Initiative, our proposed framework showed promise in detecting brain network differences that help in classifying early versus late MCI.
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Affiliation(s)
- L Zhan
- Dept. of Neurology, University of California, Los Angeles, CA 90095, USA ; Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - Y Liu
- Dept. of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, USA
| | - J Zhou
- Dept. of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, USA
| | - J Ye
- Dept. of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA ; Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48105, USA
| | - P M Thompson
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
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19
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Zhan L, Jahanshad N, Faskowitz J, Zhu D, Prasad G, Martin NG, de Zubicaray GI, McMahon KL, Wright MJ, Thompson PM. HERITABILITY OF BRAIN NETWORK TOPOLOGY IN 853 TWINS AND SIBLINGS. Proc IEEE Int Symp Biomed Imaging 2015; 2015:449-453. [PMID: 26413204 PMCID: PMC4578220 DOI: 10.1109/isbi.2015.7163908] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Anatomical brain networks change throughout life and with diseases. Genetic analysis of these networks may help identify processes giving rise to heritable brain disorders, but we do not yet know which network measures are promising for genetic analyses. Many factors affect the downstream results, such as the tractography algorithm used to define structural connectivity. We tested nine different tractography algorithms and four normalization methods to compute brain networks for 853 young healthy adults (twins and their siblings). We fitted genetic structural equation models to all nine network measures, after a normalization step to increase network consistency across tractography algorithms. Probabilistic tractography algorithms with global optimization (such as Probtrackx and Hough) yielded higher heritability statistics than "greedy" algorithms (such as FACT) which process small neighborhoods at each step. Some global network measures (probtrackx-derived GLOB and ST) showed significant genetic effects, making them attractive targets for genome-wide association studies.
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Affiliation(s)
- L Zhan
- Dept. of Neurology, University of California, Los Angeles, CA 90095, USA ; Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - N Jahanshad
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - J Faskowitz
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - D Zhu
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - G Prasad
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - G I de Zubicaray
- School of Psychology, University of Queensland, Brisbane, QLD 4072, Australia
| | - K L McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - M J Wright
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - P M Thompson
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
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20
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Chow N, Hwang KS, Hurtz S, Green AE, Somme JH, Thompson PM, Elashoff DA, Jack CR, Weiner M, Apostolova LG. Comparing 3T and 1.5T MRI for mapping hippocampal atrophy in the Alzheimer's Disease Neuroimaging Initiative. AJNR Am J Neuroradiol 2015; 36:653-60. [PMID: 25614473 DOI: 10.3174/ajnr.a4228] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 10/24/2014] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Prior MR imaging studies, primarily at 1.5T, established hippocampal atrophy as a biomarker for Alzheimer disease. 3T MR imaging offers a higher contrast and signal-to-noise ratio, yet distortions and intensity uniformity are harder to control. We applied our automated hippocampal segmentation technique to 1.5T and 3T MR imaging data, to determine whether hippocampal atrophy detection was enhanced at 3T. MATERIALS AND METHODS We analyzed baseline MR imaging data from 166 subjects from the Alzheimer's Disease Neuroimaging Initiative-1 (37 with Alzheimer disease, 76 with mild cognitive impairment, and 53 healthy controls) scanned at 1.5T and 3T. Using multiple linear regression, we analyzed the effect of clinical diagnosis on hippocampal radial distance, while adjusting for sex. 3D statistical maps were adjusted for multiple comparisons by using permutation-based statistics at a threshold of P < .01. RESULTS Bilaterally significant radial distance differences in the areas corresponding to the cornu ammonis 1, cornu ammonis 2, and subiculum were detected for Alzheimer disease versus healthy controls and mild cognitive impairment versus healthy controls at 1.5T and more profoundly at 3T. Comparison of Alzheimer disease with mild cognitive impairment did not reveal significant differences at either field strength. Subjects who converted from mild cognitive impairment to Alzheimer disease within 3 years of the baseline scan versus nonconverters showed significant differences in the area corresponding to cornu ammonis 1 of the right hippocampus at 3T but not at 1.5T. CONCLUSIONS While hippocampal atrophy patterns in diagnostic comparisons were similar at 1.5T and 3T, 3T showed a superior signal-to-noise ratio and detected atrophy with greater effect size compared with 1.5T.
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Affiliation(s)
- N Chow
- From the School of Medicine (N.C.), University of California, Irvine, Irvine, California
| | - K S Hwang
- Oakland University William Beaumont School of Medicine (K.S.H.), Rochester Hills, Michigan Departments of Neurology (K.S.H., S.H., L.G.A.)
| | - S Hurtz
- Departments of Neurology (K.S.H., S.H., L.G.A.)
| | - A E Green
- Department of Physiology (A.E.G.), Monash University, Melbourne, Australia
| | - J H Somme
- Department of Neurology (J.H.S.), Cruces University Hospital, Barakaldo, Spain
| | - P M Thompson
- Imaging Genetics Center (P.M.T.), Institute for Neuroimaging and Informatics, Keck/University of Southern California School of Medicine, Los Angeles, California Departments of Neurology, Psychiatry, Engineering, Radiology, and Ophthalmology (P.M.T.), University of Southern California, Los Angeles, California
| | - D A Elashoff
- Biostatistics (D.A.E.), University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, California
| | - C R Jack
- Department of Radiology (C.R.J.), Mayo Clinic and Foundation, Rochester, Minnesota
| | - M Weiner
- Department of Radiology and Biomedical Imaging (M.W.), University of California, San Francisco, School of Medicine, San Francisco, California
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Rossi R, Lanfredi M, Pievani M, Boccardi M, Rasser PE, Thompson PM, Cavedo E, Cotelli M, Rosini S, Beneduce R, Bignotti S, Magni LR, Rillosi L, Magnaldi S, Cobelli M, Rossi G, Frisoni GB. Abnormalities in cortical gray matter density in borderline personality disorder. Eur Psychiatry 2015; 30:221-7. [PMID: 25561291 DOI: 10.1016/j.eurpsy.2014.11.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Revised: 11/14/2014] [Accepted: 11/14/2014] [Indexed: 10/24/2022] Open
Abstract
BACKGROUND Borderline personality disorder (BPD) is a chronic condition with a strong impact on patients' affective, cognitive and social functioning. Neuroimaging techniques offer invaluable tools to understand the biological substrate of the disease. We aimed to investigate gray matter alterations over the whole cortex in a group of Borderline Personality Disorder (BPD) patients compared to healthy controls (HC). METHODS Magnetic resonance-based cortical pattern matching was used to assess cortical gray matter density (GMD) in 26 BPD patients and in their age- and sex-matched HC (age: 38 ± 11; females: 16, 61%). RESULTS BPD patients showed widespread lower cortical GMD compared to HC (4% difference) with peaks of lower density located in the dorsal frontal cortex, in the orbitofrontal cortex, the anterior and posterior cingulate, the right parietal lobe, the temporal lobe (medial temporal cortex and fusiform gyrus) and in the visual cortex (P<0.005). Our BPD subjects displayed a symmetric distribution of anomalies in the dorsal aspect of the cortical mantle, but a wider involvement of the left hemisphere in the mesial aspect in terms of lower density. A few restricted regions of higher density were detected in the right hemisphere. All regions remained significant after correction for multiple comparisons via permutation testing. CONCLUSIONS BPD patients feature specific morphology of the cerebral structures involved in cognitive and emotional processing and social cognition/mentalization, consistent with clinical and functional data.
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Affiliation(s)
- R Rossi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy.
| | - M Lanfredi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy
| | - M Pievani
- LENITEM, Laboratory of Epidemiology, Neuroimaging, & Telemedicine, Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy
| | - M Boccardi
- LENITEM, Laboratory of Epidemiology, Neuroimaging, & Telemedicine, Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy
| | - P E Rasser
- Centre for translational Neuroscience and Mental Health, The University of Newcastle, New South Wales, Australia; Schizophrenia Research Institute, Darlinghurst, Australia; Hunter Medical Research Institute, Newcastle, Australia
| | - P M Thompson
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
| | - E Cavedo
- LENITEM, Laboratory of Epidemiology, Neuroimaging, & Telemedicine, Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy; Cognition, neuroimaging and brain diseases Laboratory, Centre de Recherche de l'Insitut du Cerveau et de la Moelle (CRICM) UMRS_975, Université Pierre-et-Marie-Curie, Paris, France
| | - M Cotelli
- Unit of Neuropsychology, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy
| | - S Rosini
- Unit of Neuropsychology, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy
| | - R Beneduce
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy
| | - S Bignotti
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy
| | - L R Magni
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy
| | - L Rillosi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy
| | - S Magnaldi
- Unit of Neuroradiology, Poliambulanza Hospital, Brescia, Italy
| | - M Cobelli
- Unit of Neuroradiology, Poliambulanza Hospital, Brescia, Italy
| | - G Rossi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy
| | - G B Frisoni
- LENITEM, Laboratory of Epidemiology, Neuroimaging, & Telemedicine, Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy; Memory Clinic and LANVIE, Laboratory of Neuroimaging of Aging, University Hospitals, University of Geneva, Geneva, Switzerland
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22
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Rentería ME, Hansell NK, Strike LT, McMahon KL, de Zubicaray GI, Hickie IB, Thompson PM, Martin NG, Medland SE, Wright MJ. Genetic architecture of subcortical brain regions: common and region-specific genetic contributions. Genes Brain Behav 2014; 13:821-30. [PMID: 25199620 DOI: 10.1111/gbb.12177] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Revised: 09/01/2014] [Accepted: 09/07/2014] [Indexed: 11/27/2022]
Abstract
Understanding the aetiology of patterns of variation within and covariation across brain regions is key to advancing our understanding of the functional, anatomical and developmental networks of the brain. Here we applied multivariate twin modelling and principal component analysis (PCA) to investigate the genetic architecture of the size of seven subcortical regions (caudate nucleus, thalamus, putamen, pallidum, hippocampus, amygdala and nucleus accumbens) in a genetically informative sample of adolescents and young adults (N = 1038; mean age = 21.6 ± 3.2 years; including 148 monozygotic and 202 dizygotic twin pairs) from the Queensland Twin IMaging (QTIM) study. Our multivariate twin modelling identified a common genetic factor that accounts for all the heritability of intracranial volume (0.88) and a substantial proportion of the heritability of all subcortical structures, particularly those of the thalamus (0.71 out of 0.88), pallidum (0.52 out of 0.75) and putamen (0.43 out of 0.89). In addition, we also found substantial region-specific genetic contributions to the heritability of the hippocampus (0.39 out of 0.79), caudate nucleus (0.46 out of 0.78), amygdala (0.25 out of 0.45) and nucleus accumbens (0.28 out of 0.52). This provides further insight into the extent and organization of subcortical genetic architecture, which includes developmental and general growth pathways, as well as the functional specialization and maturation trajectories that influence each subcortical region.
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Affiliation(s)
- M E Rentería
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia; School of Psychology, University of Queensland, St Lucia, QLD, Australia
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23
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Braskie MN, Boyle CP, Rajagopalan P, Gutman BA, Toga AW, Raji CA, Tracy RP, Kuller LH, Becker JT, Lopez OL, Thompson PM. Physical activity, inflammation, and volume of the aging brain. Neuroscience 2014; 273:199-209. [PMID: 24836855 PMCID: PMC4076831 DOI: 10.1016/j.neuroscience.2014.05.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [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: 01/27/2014] [Revised: 04/23/2014] [Accepted: 05/02/2014] [Indexed: 01/06/2023]
Abstract
Physical activity influences inflammation, and both affect brain structure and Alzheimer's disease (AD) risk. We hypothesized that older adults with greater reported physical activity intensity and lower serum levels of the inflammatory marker tumor necrosis factor α (TNFα) would have larger regional brain volumes on subsequent magnetic resonance imaging (MRI) scans. In 43 cognitively intact older adults (79.3±4.8 years) and 39 patients with AD (81.9±5.1 years at the time of MRI) participating in the Cardiovascular Health Study, we examined year-1 reported physical activity intensity, year-5 blood serum TNFα measures, and year-9 volumetric brain MRI scans. We examined how prior physical activity intensity and TNFα related to subsequent total and regional brain volumes. Physical activity intensity was measured using the modified Minnesota Leisure Time Physical Activities questionnaire at year 1 of the study, when all subjects included here were cognitively intact. Stability of measures was established for exercise intensity over 9 years and TNFα over 3 years in a subset of subjects who had these measurements at multiple time points. When considered together, more intense physical activity intensity and lower serum TNFα were both associated with greater total brain volume on follow-up MRI scans. TNFα, but not physical activity, was associated with regional volumes of the inferior parietal lobule, a region previously associated with inflammation in AD patients. Physical activity and TNFα may independently influence brain structure in older adults.
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Affiliation(s)
- M N Braskie
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Dept. of Neurology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - C P Boyle
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Dept. of Neurology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - P Rajagopalan
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Dept. of Neurology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - B A Gutman
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Dept. of Neurology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - A W Toga
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Dept. of Neurology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - C A Raji
- Department of Radiology, University of California Los Angeles School of Medicine, Los Angeles, CA, USA
| | - R P Tracy
- Departments of Pathology, Biochemistry, and Center for Clinical and Translational Science, University of Vermont, Burlington, VT, USA
| | - L H Kuller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - J T Becker
- Departments of Neurology, Psychiatry, and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - O L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - P M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Dept. of Neurology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA; Depts. of Psychiatry, Engineering, Radiology, & Ophthalmology, Keck/USC School of Medicine, University of Southern California, Los Angeles, CA, USA.
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Pirotta E, Thompson PM, Cheney B, Donovan CR, Lusseau D. Estimating spatial, temporal and individual variability in dolphin cumulative exposure to boat traffic using spatially explicit capture-recapture methods. Anim Conserv 2014. [DOI: 10.1111/acv.12132] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- E. Pirotta
- Institute of Biological and Environmental Sciences; University of Aberdeen; Aberdeen UK
| | - P. M. Thompson
- Lighthouse Field Station; Institute of Biological and Environmental Sciences; University of Aberdeen; Cromarty UK
| | - B. Cheney
- Lighthouse Field Station; Institute of Biological and Environmental Sciences; University of Aberdeen; Cromarty UK
| | - C. R. Donovan
- Centre for Research into Ecological and Environmental Modelling; University of St Andrews; St Andrews UK
| | - D. Lusseau
- Institute of Biological and Environmental Sciences; University of Aberdeen; Aberdeen UK
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Li M, Luo XJ, Rietschel M, Lewis CM, Mattheisen M, Müller-Myhsok B, Jamain S, Leboyer M, Landén M, Thompson PM, Cichon S, Nöthen MM, Schulze TG, Sullivan PF, Bergen SE, Donohoe G, Morris DW, Hargreaves A, Gill M, Corvin A, Hultman C, Toga AW, Shi L, Lin Q, Shi H, Gan L, Meyer-Lindenberg A, Czamara D, Henry C, Etain B, Bis JC, Ikram MA, Fornage M, Debette S, Launer LJ, Seshadri S, Erk S, Walter H, Heinz A, Bellivier F, Stein JL, Medland SE, Arias Vasquez A, Hibar DP, Franke B, Martin NG, Wright MJ, Su B. Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility. Mol Psychiatry 2014; 19:452-61. [PMID: 23568192 PMCID: PMC3937299 DOI: 10.1038/mp.2013.37] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Revised: 01/28/2013] [Accepted: 03/06/2013] [Indexed: 02/07/2023]
Abstract
Bipolar disorder (BD) is a polygenic disorder that shares substantial genetic risk factors with major depressive disorder (MDD). Genetic analyses have reported numerous BD susceptibility genes, while some variants, such as single-nucleotide polymorphisms (SNPs) in CACNA1C have been successfully replicated, many others have not and subsequently their effects on the intermediate phenotypes cannot be verified. Here, we studied the MDD-related gene CREB1 in a set of independent BD sample groups of European ancestry (a total of 64,888 subjects) and identified multiple SNPs significantly associated with BD (the most significant being SNP rs6785[A], P=6.32 × 10(-5), odds ratio (OR)=1.090). Risk SNPs were then subjected to further analyses in healthy Europeans for intermediate phenotypes of BD, including hippocampal volume, hippocampal function and cognitive performance. Our results showed that the risk SNPs were significantly associated with hippocampal volume and hippocampal function, with the risk alleles showing a decreased hippocampal volume and diminished activation of the left hippocampus, adding further evidence for their involvement in BD susceptibility. We also found the risk SNPs were strongly associated with CREB1 expression in lymphoblastoid cells (P<0.005) and the prefrontal cortex (P<1.0 × 10(-6)). Remarkably, population genetic analysis indicated that CREB1 displayed striking differences in allele frequencies between continental populations, and the risk alleles were completely absent in East Asian populations. We demonstrated that the regional prevalence of the CREB1 risk alleles in Europeans is likely caused by genetic hitchhiking due to natural selection acting on a nearby gene. Our results suggest that differential population histories due to natural selection on regional populations may lead to genetic heterogeneity of susceptibility to complex diseases, such as BD, and explain inconsistencies in detecting the genetic markers of these diseases among different ethnic populations.
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Affiliation(s)
- M Li
- 1] State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China [2] University of Chinese Academy of Sciences, Beijing, China
| | - X-J Luo
- University of Rochester Flaum Eye Institute, University of Rochester, Rochester, NY, USA
| | - M Rietschel
- 1] Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Mannheim, Germany [2] Department of Psychiatry, University of Bonn, Bonn, Germany
| | - C M Lewis
- MRC SGDP Centre, Institute of Psychiatry, King's College London, London, UK
| | - M Mattheisen
- Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - S Jamain
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France
| | - M Leboyer
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France [4] Faculté de Médecine, Université Paris Est, Créteil, France
| | - M Landén
- 1] Section of Psychiatry and Neurochemistry, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden [2] Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - P M Thompson
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S Cichon
- 1] Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany [2] Department of Genomics, Life and Brain Center and Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M M Nöthen
- 1] Department of Genomics, Life and Brain Center and Institute of Human Genetics, University of Bonn, Bonn, Germany [2] German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - T G Schulze
- 1] Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Mannheim, Germany [2] Section on Psychiatric Genetics, Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-University, Göttingen, Germany
| | - P F Sullivan
- Departments of Genetics, Psychiatry and Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S E Bergen
- 1] Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA [2] Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - G Donohoe
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - D W Morris
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - A Hargreaves
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - M Gill
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - A Corvin
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - C Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - A W Toga
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - L Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Q Lin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - H Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - L Gan
- University of Chinese Academy of Sciences, Beijing, China
| | - A Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - D Czamara
- Max Planck Institute of Psychiatry, Munich, Germany
| | - C Henry
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France [4] Faculté de Médecine, Université Paris Est, Créteil, France
| | - B Etain
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - M A Ikram
- 1] Department of Radiology and Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands [2] The Netherlands Consortium of Healthy Aging, Leiden, The Netherlands
| | - M Fornage
- Brown Foundation Institute of Molecular Medicine and Human Genetics Center School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - S Debette
- 1] Department of Neurology, Boston University School of Medicine, Boston, MA, USA [2] Institut National de la Santé et de la Recherche Médicale (INSERM), U708, Neuroepidemiology, Paris, France [3] Department of Epidemiology, University of Versailles Saint-Quentin-en-Yvelines, Paris, France
| | - L J Launer
- Laboratory of Neurogenetics, Intramural Research Program, National Institute of Aging, NIH, Bethesda, MD, USA
| | - S Seshadri
- 1] Department of Neurology, Boston University School of Medicine, Boston, MA, USA [2] The National, Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - S Erk
- 1] Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany [2] Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- 1] Department of Psychiatry, University of Bonn, Bonn, Germany [2] Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany [3] Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - A Heinz
- Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - F Bellivier
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] AP-HP, Hôpital St-Louis-Lariboisière-F Widal, Service Universitaire de Psychiatrie, Paris, France [4] Faculté de Médecine, Université Denis Diderot, Paris, France
| | - J L Stein
- 1] Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA [2] Neurogenetics Program, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S E Medland
- 1] Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [2] Quantitative Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [3] Broad Institute of Harvard and MIT, Boston, MA, USA
| | - A Arias Vasquez
- 1] Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands [2] Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - D P Hibar
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - B Franke
- 1] Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands [2] Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - N G Martin
- Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - M J Wright
- Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - B Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
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Zito G, Luders E, Tomasevic L, Lupoi D, Toga AW, Thompson PM, Rossini PM, Filippi MM, Tecchio F. Inter-hemispheric functional connectivity changes with corpus callosum morphology in multiple sclerosis. Neuroscience 2014; 266:47-55. [PMID: 24486438 DOI: 10.1016/j.neuroscience.2014.01.039] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [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: 09/30/2013] [Revised: 01/15/2014] [Accepted: 01/19/2014] [Indexed: 12/27/2022]
Abstract
Multiple sclerosis (MS) affects myelin sheaths within the central nervous system, concurring to cause brain atrophy and neurodegeneration as well as gradual functional disconnections. To explore early signs of altered connectivity in MS from a structural and functional perspective, the morphology of corpus callosum (CC) was correlated with a dynamic inter-hemispheric connectivity index. Twenty mildly disabled patients affected by a relapsing-remitting (RR) form of MS (EDSS⩽3.5) and 15 healthy subjects underwent structural MRI to measure CC thickness over 100 sections and electroencephalography to assess a spectral coherence index between primary regions devoted to hand control, at rest and during an isometric handgrip. In patients, an overall CC atrophy was associated with increased lesion load. A less efficacious inter-hemispheric coherence (IHCoh) during movement was associated with CC atrophy in sections interconnecting homologous primary motor areas (anterior mid-body). In healthy controls, less efficacious IHCoh at rest was associated with a thinner CC splenium. Our data suggest that in mildly disabled RR-MS patients a covert impairment may be detected in the correlation between the structural (CC thickness) and functional (IHCoh) measures of homologous networks, whereas these two counterparts do not yet differ individually from controls.
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Affiliation(s)
- G Zito
- Laboratory of Electrophysiology for Translational neuroScience (LET'S), ISTC, Consiglio Nazionale delle Ricerche, 'S. Giovanni Calibita' Fatebenefratelli Hospital, Rome I-00186, Italy; Department of Clinical Neuroscience, AFaR, 'San Giovanni Calibita' Fatebenefratelli Hospital, Rome I-00186, Italy.
| | - E Luders
- Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, School of Medicine, Los Angeles, CA 90095-7334, USA
| | - L Tomasevic
- Laboratory of Electrophysiology for Translational neuroScience (LET'S), ISTC, Consiglio Nazionale delle Ricerche, 'S. Giovanni Calibita' Fatebenefratelli Hospital, Rome I-00186, Italy; Department of Clinical Neuroscience, AFaR, 'San Giovanni Calibita' Fatebenefratelli Hospital, Rome I-00186, Italy
| | - D Lupoi
- Department of Clinical Neuroscience, AFaR, 'San Giovanni Calibita' Fatebenefratelli Hospital, Rome I-00186, Italy
| | - A W Toga
- Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, School of Medicine, Los Angeles, CA 90095-7334, USA
| | - P M Thompson
- Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, School of Medicine, Los Angeles, CA 90095-7334, USA
| | - P M Rossini
- Department of Imaging, IRCCS San Raffale Pisana, Rome I-00163, Italy; Institute of Neurology, Università Cattolica del Sacro Cuore, Rome I-00168, Italy
| | - M M Filippi
- Department of Clinical Neuroscience, AFaR, 'San Giovanni Calibita' Fatebenefratelli Hospital, Rome I-00186, Italy
| | - F Tecchio
- Laboratory of Electrophysiology for Translational neuroScience (LET'S), ISTC, Consiglio Nazionale delle Ricerche, 'S. Giovanni Calibita' Fatebenefratelli Hospital, Rome I-00186, Italy; Department of Imaging, IRCCS San Raffale Pisana, Rome I-00163, Italy
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Chavarria MC, Sánchez FJ, Chou YY, Thompson PM, Luders E. Puberty in the corpus callosum. Neuroscience 2014; 265:1-8. [PMID: 24468104 DOI: 10.1016/j.neuroscience.2014.01.030] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [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: 10/23/2013] [Revised: 01/15/2014] [Accepted: 01/15/2014] [Indexed: 12/30/2022]
Abstract
Adolescence is an important period for brain development. White matter growth is influenced by sex hormones such as testosterone, and the corpus callosum-the largest white matter structure in the human brain-may change structurally during the hormone-laden period of adolescence. Little is known about puberty's relationship to structural brain development, even though pubertal stage may better predict cognitive and behavioral maturity than chronological age. We therefore aimed to establish the presence and direction of pubertal effects on callosal anatomy. For this purpose, we applied advanced surface-based mesh-modeling to map correlations between callosal thickness and pubertal stage in a large and well-matched sample of 124 children and adolescents (62 female and 62 male) aged 5-18years from a normative database. When linking callosal anatomy to pubertal status, only positive correlations reached statistical significance, indicating that callosal growth advances with puberty. In tests of differences in callosal anatomy at different stages of puberty, callosal growth was concentrated in different locations depending on the pubertal stage. Changing levels of circulating sex hormones during different phases of puberty likely contributed to the observed effects, and further research is clearly needed. Direct quantification of sex hormone levels and regional fiber connectivity-ideally using fiber tractography-will reveal whether hormones are the main drivers of callosal change during puberty. These callosal findings may lead to hypotheses regarding cortical changes during puberty, which may promote or result from changes in inter-hemispheric connectivity.
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Affiliation(s)
- M C Chavarria
- Department of Neurology, UCLA School of Medicine, Los Angeles, CA, United States
| | - F J Sánchez
- Department of Counseling Psychology, University of Wisconsin, Madison, WI, United States
| | - Y-Y Chou
- Image Processing Core, Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States
| | - P M Thompson
- Department of Neurology, UCLA School of Medicine, Los Angeles, CA, United States; Imaging Genetics Center, Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, United States; Department of Neurology, USC Keck School of Medicine, Los Angeles, CA, United States; Department of Psychiatry, USC Keck School of Medicine, Los Angeles, CA, United States; Department of Radiology, USC Keck School of Medicine, Los Angeles, CA, United States; Department of Engineering, USC Keck School of Medicine, Los Angeles, CA, United States; Department of Ophthalmology, USC Keck School of Medicine, Los Angeles, CA, United States; Department of Psychiatry & Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, UCLA, Los Angeles, CA, United States
| | - E Luders
- Department of Neurology, UCLA School of Medicine, Los Angeles, CA, United States.
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Kochunov P, Charlesworth J, Winkler A, Hong LE, Nichols TE, Curran JE, Sprooten E, Jahanshad N, Thompson PM, Johnson MP, Kent JW, Landman BA, Mitchell B, Cole SA, Dyer TD, Moses EK, Goring HHH, Almasy L, Duggirala R, Olvera RL, Glahn DC, Blangero J. Transcriptomics of cortical gray matter thickness decline during normal aging. Neuroimage 2013; 82:273-83. [PMID: 23707588 DOI: 10.1016/j.neuroimage.2013.05.066] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2013] [Revised: 04/23/2013] [Accepted: 05/14/2013] [Indexed: 01/27/2023] Open
Abstract
INTRODUCTION We performed a whole-transcriptome correlation analysis, followed by the pathway enrichment and testing of innate immune response pathway analyses to evaluate the hypothesis that transcriptional activity can predict cortical gray matter thickness (GMT) variability during normal cerebral aging. METHODS Transcriptome and GMT data were available for 379 individuals (age range=28-85) community-dwelling members of large extended Mexican American families. Collection of transcriptome data preceded that of neuroimaging data by 17 years. Genome-wide gene transcriptome data consisted of 20,413 heritable lymphocytes-based transcripts. GMT measurements were performed from high-resolution (isotropic 800 μm) T1-weighted MRI. Transcriptome-wide and pathway enrichment analysis was used to classify genes correlated with GMT. Transcripts for sixty genes from seven innate immune pathways were tested as specific predictors of GMT variability. RESULTS Transcripts for eight genes (IGFBP3, LRRN3, CRIP2, SCD, IDS, TCF4, GATA3, and HN1) passed the transcriptome-wide significance threshold. Four orthogonal factors extracted from this set predicted 31.9% of the variability in the whole-brain and between 23.4 and 35% of regional GMT measurements. Pathway enrichment analysis identified six functional categories including cellular proliferation, aggregation, differentiation, viral infection, and metabolism. The integrin signaling pathway was significantly (p<10(-6)) enriched with GMT. Finally, three innate immune pathways (complement signaling, toll-receptors and scavenger and immunoglobulins) were significantly associated with GMT. CONCLUSION Expression activity for the genes that regulate cellular proliferation, adhesion, differentiation and inflammation can explain a significant proportion of individual variability in cortical GMT. Our findings suggest that normal cerebral aging is the product of a progressive decline in regenerative capacity and increased neuroinflammation.
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Affiliation(s)
- P Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, USA.
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Di Paola M, Luders E, Rubino IA, Siracusano A, Manfredi G, Girardi P, Martinotti G, Thompson PM, Chou YY, Toga AW, Caltagirone C, Spalletta G. The structure of the corpus callosum in obsessive compulsive disorder. Eur Psychiatry 2012; 28:499-506. [PMID: 23078960 DOI: 10.1016/j.eurpsy.2012.07.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2011] [Accepted: 01/30/2012] [Indexed: 11/27/2022] Open
Abstract
Abnormal brain connectivity has recently been reported in obsessive compulsive disorder (OCD). However, structural differences in the corpus callosum (CC), the primary structure connecting the two hemispheres, have not been extensively studied. In this case-control study, we recruited 30 patients with OCD and 30 healthy control subjects carefully matched for age, sex and handedness. Combining surface-based mesh-modeling and voxel-based morphometry (VBM), we compared callosal thickness and white matter (WM) density in patients and controls. We investigated associations between callosal structure and cortical gray matter (GM) density, and we related CC measures to neuropsychological performance in OCD. OCD patients showed small anterior and posterior callosal regions compared to healthy control subjects. In the OCD group, anterior callosal thickness was positively correlated with GM density of the right mid-dorso-lateral prefrontal (BA 9/46) area, while posterior callosal thickness was positively correlated with GM density in the left supramarginal gyrus (BA 40). Moreover, posterior callosal WM density was positively correlated with verbal memory, visuo-spatial memory, verbal fluency, and visuo-spatial reasoning performances. Callosal attributes were related to GM density in cortical areas innervated by the CC, and were also related to performance in cognitive domains impaired in the disorder. The CC may therefore be integrally involved in OCD.
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Affiliation(s)
- M Di Paola
- IRCCS Santa Lucia Foundation, Laboratory of Clinical and Behavioural Neurology, Via Ardeatina 306, 00179 Rome, Italy; Department of Internal Medicine and Public Health, University of L'Aquila, Piazzale Salvatore Tommasi 1, 67010 L'Aquila-Coppito, Italy.
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Thompson PM, Cruz DA, Olukotun DY, Delgado PL. Serotonin receptor, SERT mRNA and correlations with symptoms in males with alcohol dependence and suicide. Acta Psychiatr Scand 2012; 126:165-74. [PMID: 22176604 DOI: 10.1111/j.1600-0447.2011.01816.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVE This study tested the hypothesis that abnormalities in components of the serotonin (5HT) system in the prefrontal cortex are associated with suicide in alcohol-dependent subjects. Second, we assessed the relationship of lifetime impulsivity and mood symptoms with prefrontal cortex 5-HT measures. METHOD Tissue was obtained from Brodmann's areas (BA) 9 and 24 in postmortem samples of individuals who were alcohol dependent with suicide (n = 5), alcohol dependent without suicide (n = 9) and normal controls (n = 5). Serotonin receptor (5HT) and serotonin reuptake transporter (SERT) mRNA were measured. Interviews with next of kin estimated lifetime impulsivity and mood symptoms in the last week of life. RESULTS Serotonin receptor 1A (5HT1A) mRNA in BA 9 was elevated in the alcohol dependence without suicide group compared with controls. In the alcohol dependence with suicide group, anxiety symptoms were associated with decreased BA 24 SERT mRNA and depressive symptoms with BA 9 5HT1A mRNA expression. In the alcohol dependent only group impulsivity is correlated with increased BA 9, and BA 24 serotonin receptor 2A mRNA. CONCLUSION Our data suggest region-specific change, rather than global serotonin blunting is involved in alcohol dependence and suicide. It also suggests that symptoms are differentially influenced by prefrontal cortex serotonin receptor mRNA levels.
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Affiliation(s)
- P M Thompson
- Department of Psychiatry, University of Texas Health Science Center San Antonio Southwest Brain Bank, USA.
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Filippi M, Agosta F, Barkhof F, Dubois B, Fox NC, Frisoni GB, Jack CR, Johannsen P, Miller BL, Nestor PJ, Scheltens P, Sorbi S, Teipel S, Thompson PM, Wahlund LO. EFNS task force: the use of neuroimaging in the diagnosis of dementia. Eur J Neurol 2012; 19:e131-40, 1487-501. [DOI: 10.1111/j.1468-1331.2012.03859.x] [Citation(s) in RCA: 96] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2012] [Accepted: 07/18/2012] [Indexed: 01/18/2023]
Affiliation(s)
- M. Filippi
- Neuroimaging Research Unit; Division of Neuroscience; Institute of Experimental Neurology; San Raffaele Scientific Institute; Vita-Salute San Raffaele University; Milan Italy
| | - F. Agosta
- Neuroimaging Research Unit; Division of Neuroscience; Institute of Experimental Neurology; San Raffaele Scientific Institute; Vita-Salute San Raffaele University; Milan Italy
| | - F. Barkhof
- Department of Radiology; VU University Medical Center; Amsterdam The Netherlands
| | - B. Dubois
- Centre de Recherche de l'Institut du Cerveau et de la Moelle Epinière; Université Pierre et Marie Curie; Paris France
| | - N. C. Fox
- Dementia Research Centre; Institute of Neurology; University College London; London UK
| | - G. B. Frisoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli di Brescia; Brescia Italy
| | - C. R. Jack
- Department of Radiology; Mayo Clinic and Foundation; Rochester MN USA
| | - P. Johannsen
- Memory Clinic; Rigshospitalet; Copenhagen University Hospital; Copenhagen Denmark
| | - B. L. Miller
- Memory and Aging Center; University of California; San Francisco CA USA
| | - P. J. Nestor
- Department of Clinical Neuroscience; University of Cambridge; Cambridge UK
| | - P. Scheltens
- Department of Neurology and Alzheimer Center; VU University Medical Center; Amsterdam The Netherlands
| | - S. Sorbi
- Department of Neurological and Psychiatric Sciences; Azienda Ospedaliero-Universitaria di Careggi; Florence Italy
| | - S. Teipel
- Department of Psychiatry; University of Rostock, and German Center for Neuro-degenerative Diseases (DZNE); Rostock Germany
| | - P. M. Thompson
- Department of Neurology; David Geffen School of Medicine at the University of California Los Angeles; Los Angeles CA USA
| | - L.-O. Wahlund
- Division of Clinical Geriatrics; Department of Neurobiology; Karolinska Institute; Stockholm Sweden
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Di Paola M, Luders E, Cherubini A, Sanchez-Castaneda C, Thompson PM, Toga AW, Caltagirone C, Orobello S, Elifani F, Squitieri F, Sabatini U. Multimodal MRI analysis of the corpus callosum reveals white matter differences in presymptomatic and early Huntington's disease. Cereb Cortex 2012; 22:2858-66. [PMID: 22223853 DOI: 10.1093/cercor/bhr360] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Recent magnetic resonance imaging (MRI) studies suggest that abnormalities in Huntington's disease (HD) extend to white matter (WM) tracts in early HD and even in presymptomatic stages. Thus, changes of the corpus callosum (CC) may reflect various aspects of HD pathogenesis. We recruited 17 HD patients, 17 pre-HD subjects, and 34 healthy age-matched controls. Three-dimensional anatomical MRI and diffusion tensor images of the brain were acquired on a 3T scanner. Combining region-of-interest analyses, voxel-based morphometry, and tract-based spatial statistics, we investigated callosal thickness, WM density, fractional anisotropy, and radial and axial diffusivities. Compared with controls, pre-HD subjects showed reductions of the isthmus, likely due to myelin damage. Compared with pre-HD subjects, HD patients showed reductions of isthmus and body, with axonal damage confined to the body. Compared with controls, HD patients had significantly decreased callosal measures in extended regions across almost the entire CC. At this disease stage, both myelin and axonal damage are detectable. Supplementary multiple regression analyses revealed that WM reduction density in the isthmus as well as Disease Burden scores allowed to predict the "HD development" index. While callosal changes seem to proceed in a posterior-to-anterior direction as the diseases progresses, this observation requires validation in future longitudinal investigations.
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Affiliation(s)
- M Di Paola
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
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Tong M, Kim Y, Zhan L, Sapiro G, Lenglet C, Mueller BA, Thompson PM, Vese LA. A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING. Proc IEEE Int Symp Biomed Imaging 2012:530-533. [PMID: 22902985 PMCID: PMC3420955 DOI: 10.1109/isbi.2012.6235602] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The presence of noise in High Angular Resolution Diffusion Imaging (HARDI) data of the brain can limit the accuracy with which fiber pathways of the brain can be extracted. In this work, we present a variational model to denoise HARDI data corrupted by Rician noise. Numerical experiments are performed on three types of data: 2D synthetic data, 3D diffusion-weighted Magnetic Resonance Imaging (DW-MRI) data of a hardware phantom containing synthetic fibers, and 3D real HARDI brain data. Experiments show that our model is effective for denoising HARDI-type data while preserving important aspects of the fiber pathways such as fractional anisotropy and the orientation distribution functions.
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Affiliation(s)
- M Tong
- Dept. of Mathematics, University of California, Los Angeles
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Cole J, Weinberger DR, Mattay VS, Cheng X, Toga AW, Thompson PM, Powell-Smith G, Cohen-Woods S, Simmons A, McGuffin P, Fu CHY. No effect of 5HTTLPR or BDNF Val66Met polymorphism on hippocampal morphology in major depression. Genes Brain Behav 2011; 10:756-64. [PMID: 21692988 DOI: 10.1111/j.1601-183x.2011.00714.x] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Neuroimaging research implicates the hippocampus in the aetiology of major depressive disorder (MDD). Imaging genetics studies have investigated the influence of the serotonin transporter-linked polymorphic region (5HTTLPR) and brain-derived neurotrophic factor (BDNF) Val66Met polymorphism on the hippocampus in healthy individuals and patients with depression (MDD). However, conflicting results have led to inconclusive evidence about the effect of 5HTTLPR or BDNF on hippocampal volume (HCV). We hypothesized that analysis methods based on three-dimensional (3D) hippocampal shape mapping could offer improved sensitivity to clarify these effects. Magnetic resonance imaging data were collected in parallel samples of 111 healthy individuals and 84 MDD patients. Manual hippocampal segmentation was conducted and the resulting data used to investigate the influence of 5HTTLPR and BDNF Val66Met genotypes on HCV and 3D shape within each sample. Hippocampal volume normalized by intracranial volume (ICV) showed no significant difference between 5HTTLPR S allele carriers and L/L homozygotes or between BDNF Met allele carriers and Val/Val homozygotes in the group of healthy individuals. Moreover, there was no significant difference in normalized HCV between 5HTTLPR diallelic and triallelic classifications or between the BDNF Val66Met genotypes in MDD patients, although there was a relationship between BDNF Val66Met and ICV. Shape analysis detected dispersed between-group differences, but these effects did not survive multiple testing correction. In this study, there was no evidence of a genetic effect for 5HTTLPR or BDNF Val66Met on hippocampal morphology in either healthy individuals or MDD patients despite the relatively large sample sizes and sensitive methodology.
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Affiliation(s)
- J Cole
- MRC Social, Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College London, London, UK.
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Kochunov P, Glahn DC, Lancaster J, Thompson PM, Kochunov V, Rogers B, Fox P, Blangero J, Williamson DE. Fractional anisotropy of cerebral white matter and thickness of cortical gray matter across the lifespan. Neuroimage 2011; 58:41-9. [PMID: 21640837 DOI: 10.1016/j.neuroimage.2011.05.050] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2011] [Accepted: 05/17/2011] [Indexed: 10/18/2022] Open
Abstract
We examined age trajectories of fractional anisotropy (FA) of cerebral white matter (WM) and thickness of cortical gray matter (GM) in 1031 healthy human subjects (aged 11-90 years). Whole-brain FA and GM thickness values followed quadratic trajectories with age but the relationship between them was linear, indicating that a putative biological mechanism may explain the non-linearity of their age trajectories. Inclusion of the FA values into the quadratic model of the whole-brain and regional GM thickness changes with age made the effect of the age(2) term no longer significant for the whole-brain GM thickness and greatly reduced its significance for regional GM thickness measurements. The phylogenetic order of cerebral myelination helped to further explain the intersubject variability in GM thickness. FA values for the early maturing WM were significantly better (p=10(-6)) at explaining variability in GM thickness in maturing (aged 11-20) subjects than FA values for the late maturing WM. The opposite trend was observed for aging subjects (aged 40-90) where FA values for the late maturing WM were better (p=10(-16)) at explaining the variability in GM thickness. We concluded that the non-linearity of the age trajectory for GM thickness, measured from T1-weighted MRI, was partially explained by the heterogeneity and the heterochronicity of the age-related changes in the microintegrity of cerebral WM. We consider these findings as the evidence that the measurements of age-related changes in GM thickness and FA are driven, in part, by a common biological mechanism, presumed to be related to changes in cerebral myelination.
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Affiliation(s)
- P Kochunov
- Maryland Psychiatric Research Center, University of Maryland, Catonsville, MD, USA.
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Cavedo E, Boccardi M, Ganzola R, Canu E, Beltramello A, Caltagirone C, Thompson PM, Frisoni GB. Local amygdala structural differences with 3T MRI in patients with Alzheimer disease. Neurology 2011; 76:727-33. [PMID: 21339500 DOI: 10.1212/wnl.0b013e31820d62d9] [Citation(s) in RCA: 56] [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] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Histologic studies show that the amygdala is affected by Alzheimer disease (AD) pathology, and its medial aspect is the most involved. We aimed to assess in vivo local structural differences in the amygdala of patients with AD using high-field MRI. METHODS A total of 19 patients with AD (mean age 76, SD 6 years, mean Mini-Mental State Examination score [MMSE] 13, SD 4) and 19 healthy elderly controls (age 74, SD 5, MMSE 29, SD 1) were enrolled. The radial atrophy mapping technique was used to reconstruct the 3-dimensional surface of the amygdala. Maps of surface tissue loss in patients with AD vs controls were computed and statistically tested with permutation tests thresholded at p < 0.05, to correct for multiple comparisons. A digital atlas of the amygdalar nuclei was used to infer which nuclei were involved. RESULTS Both amygdalar volumes were significantly smaller in patients with AD (right 1,508 mm³, SD 418; left 1,646, SD 419) than controls (right 2,129 mm³, SD 316; left 2,077, SD 376; p < 0.002). In the dorsomedial part, significant local tissue loss (20%-30%) was mapped in the medial and central nuclei. Ventrally, the lateral nucleus (La) and the basolateral ventral medial nucleus (BLVM) were also involved (20%-30% loss). CONCLUSIONS We found in vivo local structural differences in the amygdala of patients with AD. The nuclei involved have known connections to the hippocampus (BLVM, La) and olfactory system (medial nucleus) and with cholinergic pathways (central nucleus). This pattern is consistent with the known pathophysiology of neural systems affected by AD.
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Affiliation(s)
- E Cavedo
- LENITEM (Laboratory of Epidemiology Neuroimaging & Telemedicine), IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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Cordes LS, Duck CD, Mackey BL, Hall AJ, Thompson PM. Long-term patterns in harbour seal site-use and the consequences for managing protected areas. Anim Conserv 2011. [DOI: 10.1111/j.1469-1795.2011.00445.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Rasser P, Schall U, Todd J, Michie PT, Ward PB, Johnston P, Helmbold K, Case V, Søyland A, Tooney PA, Thompson PM. Gray matter deficits, mismatch negativity, and outcomes in schizophrenia. Schizophr Bull 2011; 37:131-40. [PMID: 19561058 PMCID: PMC3004193 DOI: 10.1093/schbul/sbp060] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Reduced mismatch negativity (MMN) in response to auditory change is a well-established finding in schizophrenia and has been shown to be correlated with impaired daily functioning, rather than with hallmark signs and symptoms of the disorder. In this study, we investigated (1) whether the relationship between reduced MMN and impaired daily functioning is mediated by cortical volume loss in temporal and frontal brain regions in schizophrenia and (2) whether this relationship varies with the type of auditory deviant generating MMN. MMN in response to duration, frequency, and intensity deviants was recorded from 18 schizophrenia subjects and 18 pairwise age- and gender-matched healthy subjects. Patients' levels of global functioning were rated on the Social and Occupational Functioning Assessment Scale. High-resolution structural magnetic resonance scans were acquired to generate average cerebral cortex and temporal lobe models using cortical pattern matching. This technique allows accurate statistical comparison and averaging of cortical measures across subjects, despite wide variations in gyral patterns. MMN amplitude was reduced in schizophrenia patients and correlated with their impaired day-to-day function level. Only in patients, bilateral gray matter reduction in Heschl's gyrus, as well as motor and executive regions of the frontal cortex, correlated with reduced MMN amplitude in response to frequency deviants, while reduced gray matter in right Heschl's gyrus also correlated with reduced MMN to duration deviants. Our findings further support the importance of MMN reduction in schizophrenia by linking frontotemporal cerebral gray matter pathology to an automatically generated event-related potential index of daily functioning.
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Affiliation(s)
- P.E. Rasser
- Schizophrenia Research Institute, Sydney, Australia,Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia,To whom correspondence should be addressed; tel: +61249246661, fax: +61249246608, e-mail:
| | - U. Schall
- Schizophrenia Research Institute, Sydney, Australia,Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia
| | - J. Todd
- Schizophrenia Research Institute, Sydney, Australia,Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia
| | - P. T. Michie
- Schizophrenia Research Institute, Sydney, Australia,Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia
| | - P. B. Ward
- Schizophrenia Research Unit, University of New South Wales, Sydney, Australia
| | - P. Johnston
- Swinburne University of Technology, Melbourne, Australia
| | - K. Helmbold
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia,University of Constance, Constance, Germany
| | - V. Case
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia
| | - A. Søyland
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia
| | - P. A. Tooney
- Schizophrenia Research Institute, Sydney, Australia,Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia
| | - P. M. Thompson
- Laboratory of Neuro Imaging, University of California, Los Angeles, CA
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Erickson KI, Raji CA, Lopez OL, Becker JT, Rosano C, Newman AB, Gach HM, Thompson PM, Ho AJ, Kuller LH. Physical activity predicts gray matter volume in late adulthood: the Cardiovascular Health Study. Neurology 2010; 75:1415-22. [PMID: 20944075 DOI: 10.1212/wnl.0b013e3181f88359] [Citation(s) in RCA: 321] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Physical activity (PA) has been hypothesized to spare gray matter volume in late adulthood, but longitudinal data testing an association has been lacking. Here we tested whether PA would be associated with greater gray matter volume after a 9-year follow-up, a threshold could be identified for the amount of walking necessary to spare gray matter volume, and greater gray matter volume associated with PA would be associated with a reduced risk for cognitive impairment 13 years after the PA evaluation. METHODS In 299 adults (mean age 78 years) from the Cardiovascular Health Cognition Study, we examined the association between gray matter volume, PA, and cognitive impairment. Physical activity was quantified as the number of blocks walked over 1 week. High-resolution brain scans were acquired 9 years after the PA assessment on cognitively normal adults. White matter hyperintensities, ventricular grade, and other health variables at baseline were used as covariates. Clinical adjudication for cognitive impairment occurred 13 years after baseline. RESULTS Walking amounts ranged from 0 to 300 blocks (mean 56.3; SD 69.7). Greater PA predicted greater volumes of frontal, occipital, entorhinal, and hippocampal regions 9 years later. Walking 72 blocks was necessary to detect increased gray matter volume but walking more than 72 blocks did not spare additional volume. Greater gray matter volume with PA reduced the risk for cognitive impairment 2-fold. CONCLUSION Greater amounts of walking are associated with greater gray matter volume, which is in turn associated with a reduced risk of cognitive impairment.
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Affiliation(s)
- K I Erickson
- Department of Psychology, University of Pittsburgh, PA, USA.
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Madsen SK, Ho AJ, Hua X, Saharan PS, Toga AW, Jack CR, Weiner MW, Thompson PM. 3D maps localize caudate nucleus atrophy in 400 Alzheimer's disease, mild cognitive impairment, and healthy elderly subjects. Neurobiol Aging 2010; 31:1312-25. [PMID: 20538376 DOI: 10.1016/j.neurobiolaging.2010.05.002] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2010] [Revised: 04/29/2010] [Accepted: 05/01/2010] [Indexed: 10/19/2022]
Abstract
MRI research examining structural brain atrophy in Alzheimer's disease (AD) generally focuses on medial temporal and cortical structures, but amyloid and tau deposits also accumulate in the caudate. Here we mapped the 3D profile of caudate atrophy using a surface mapping approach in subjects with AD and mild cognitive impairment (MCI) to identify potential clinical and pathological correlates. 3D surface models of the caudate were automatically extracted from 400 baseline MRI scans (100 AD, 200 MCI, 100 healthy elderly). Compared to controls, caudate volumes were lower in MCI (2.64% left, 4.43% right) and AD (4.74% left, 8.47% right). Caudate atrophy was associated with age, sum-of-boxes and global Clinical Dementia Ratings, Delayed Logical Memory scores, MMSE decline 1 year later, and body mass index. Reduced right (but not left) volume was associated with MCI-to-AD conversion and CSF tau levels. Normal caudate asymmetry (with the right 3.9% larger than left) was lost in AD, suggesting preferential right caudate atrophy. Automated caudate maps may complement other MRI-derived measures of disease burden in AD.
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Affiliation(s)
- S K Madsen
- Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, School of Medicine, Los Angeles, CA, USA
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Kochunov P, Glahn DC, Fox PT, Lancaster JL, Saleem K, Shelledy W, Zilles K, Thompson PM, Coulon O, Mangin JF, Blangero J, Rogers J. Genetics of primary cerebral gyrification: Heritability of length, depth and area of primary sulci in an extended pedigree of Papio baboons. Neuroimage 2009; 53:1126-34. [PMID: 20035879 DOI: 10.1016/j.neuroimage.2009.12.045] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2009] [Revised: 12/07/2009] [Accepted: 12/09/2009] [Indexed: 11/18/2022] Open
Abstract
Genetic control over morphological variability of primary sulci and gyri is of great interest in the evolutionary, developmental and clinical neurosciences. Primary structures emerge early in development and their morphology is thought to be related to neuronal differentiation, development of functional connections and cortical lateralization. We measured the proportional contributions of genetics and environment to regional variability, testing two theories regarding regional modulation of genetic influences by ontogenic and phenotypic factors. Our measures were surface area, and average length and depth of eleven primary cortical sulci from high-resolution MR images in 180 pedigreed baboons. Average heritability values for sulcal area, depth and length (h(2)(Area)=.38+/-.22; h(2)(Depth)=.42+/-.23; h(2)(Length)=.34+/-.22) indicated that regional cortical anatomy is under genetic control. The regional pattern of genetic contributions was complex and, contrary to previously proposed theories, did not depend upon sulcal depth, or upon the sequence in which structures appear during development. Our results imply that heritability of sulcal phenotypes may be regionally modulated by arcuate U-fiber systems. However, further research is necessary to unravel the complexity of genetic contributions to cortical morphology.
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Affiliation(s)
- P Kochunov
- Research Imaging Institute, The University of Texas Health Science Center, San Antonio, TX 78229, USA.
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Protas HD, Huang SC, Kepe V, Hayashi K, Klunder A, Braskie MN, Ercoli L, Bookheimer S, Thompson PM, Small GW, Barrio JR. FDDNP binding using MR derived cortical surface maps. Neuroimage 2009; 49:240-8. [PMID: 19703569 DOI: 10.1016/j.neuroimage.2009.08.035] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2009] [Revised: 07/25/2009] [Accepted: 08/16/2009] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVES To assess quantitatively the cortical pattern profile of regional FDDNP binding to beta-amyloid and neurofibrillary tangles on MR derived cortical maps, FDDNP PET images were corrected for movement and partial volume (PV), and optimized for kernel size. METHODS FDDNP DVR PET images from 23 subjects (7 with Alzheimer's disease (AD), 6 with mild cognitive impairment and 10 controls) were obtained from Logan analysis using cerebellum as reference. A hemispheric cortical surface model for each subject was extracted from the MRI. The same transformations were applied to the FDDNP DVR PET images to map them into the same space. The cortical map with PV correction was calculated as the ratio of the DVR cortical surface and that of the simulated map, created from the mask derived from MRI and smoothed to the PET resolution. Discriminant analysis was used to order the FDDNP DVR cortical surfaces based on subjects' disease state. Linear regression was used to assess the rate of change of DVR vs. MMSE for each hemispheric cortical surface point. RESULTS The FDDNP DVR cortical surface corrected for movement and PV had less hemispheric asymmetry. Optimal kernel size was determined to be 9 mm. The corrected cortical surface map of FDDNP DVR showed clear spatial pattern that was consistent with the known pathological progression of AD. CONCLUSION Correcting for movement, PV as well as optimizing kernel size provide sensitive statistical analysis of FDDNP distribution which confirms in the living brain known pathology patterns earlier observed with cognitive decline with brain specimens.
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Affiliation(s)
- H D Protas
- Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California-Los Angeles, 10833 Le Conte Ave., Los Angeles, CA 90095, USA.
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Kumar R, Ahdout R, Macey PM, Woo MA, Avedissian C, Thompson PM, Harper RM. Reduced caudate nuclei volumes in patients with congenital central hypoventilation syndrome. Neuroscience 2009; 163:1373-9. [PMID: 19632307 DOI: 10.1016/j.neuroscience.2009.07.038] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2009] [Revised: 07/16/2009] [Accepted: 07/18/2009] [Indexed: 10/20/2022]
Abstract
Congenital central hypoventilation syndrome (CCHS) children show cognitive and affective deficits, in addition to state-specific loss of respiratory drive. The caudate nuclei serve motor, cognitive, and affective roles, and show structural deficits in CCHS patients, based on gross voxel-based analytic procedures. However, the magnitude and regional sites of caudate injury in CCHS are unclear. We assessed global caudate nuclei volumes with manual volumetric procedures, and regional volume differences with three-dimensional surface morphometry in 14 CCHS (mean age+/-SD: 15.1+/-2.3 years; 8 male) and 31 control children (15.1+/-2.4 years; 17 male) using brain magnetic resonance imaging (MRI). Two high-resolution T1-weighted image series were collected using a 3.0 Tesla MRI scanner; images were averaged and reoriented (rigid-body transformation) to common space. Both left and right caudate nuclei were outlined in the reoriented images, and global volumes calculated; surface models were derived from manually-outlined caudate structures. Global caudate nuclei volume differences between groups were evaluated using a multivariate analysis of covariance (covariates: age, gender, and total intracranial volume). Both left and right caudate nuclei volumes were significantly reduced in CCHS over control subjects (left, 4293.45+/-549.05 vs. 4626.87+/-593.41 mm(3), P<0.006; right, 4376.29+/-565.42 vs. 4747.81+/-578.13 mm(3), P<0.004). Regional deficits in CCHS caudate volume appeared bilaterally, in the rostral head, ventrolateral mid, and caudal body. Damaged caudate nuclei may contribute to CCHS neuropsychological and motor deficits; hypoxic processes, or maldevelopment in the condition may underlie the injury.
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Affiliation(s)
- R Kumar
- Department of Neurobiology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
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Morra JH, Tu Z, Apostolova LG, Green AE, Avedissian C, Madsen SK, Parikshak N, Toga AW, Jack CR, Schuff N, Weiner MW, Thompson PM. Automated Hippocampal Segmentation and Mapping Reveals Genetically Accelerated Tissue Loss in 1-year Repeat MRI data from 490 Alzheimer's Disease, MCI, and Control Subjects. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71153-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Hageman NS, Thompson PM, Shattuck DW, Avedissian C, Barysheva M, McMahon KL, deZubicaray GI, Wright MJ, Toga AW. Genetic Influences on White Matter Architecture in Twins: A Diffusion Tensor Tractography Study. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71712-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Lepore N, Voss P, Lepore F, Chou YY, Fortin M, Gougoux F, Lee AD, Brun C, Lassonde M, Madsen SK, Toga AW, Thompson PM. Brain differences in early- and late- blind subjects mapped using tensor-based morphometry. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71573-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Boccardi M, Frisoni GB, Najt P, Pievani M, Ganzola R, Rossi R, Laakso MP, Aronen HJ, Vaurio O, Perez J, Repo-Tiihonen E, Thompson PM, Tiihonen J. Abnormal Cortical Morphology in Offenders with Psychopathy. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)72027-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Blokland GAM, McMahon KL, Thompson PM, de Zubicaray GI, Wright MJ. Mapping Genetic Influences on Brain Activation during the N-Back Working Memory Task: An fMRI Study of 315 Twins. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71382-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Foland-Ross LC, Thompson PM, Bookheimer SY, Penfold C, Shen JK, Ahlf K, Madsen S, Townsend J, Fischer J, Altshuler LL. Amygdala activation is associated with prefrontal cortical thickness in healthy subjects, but not in euthymic bipolar patients. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71992-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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