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The Lifespan Human Connectome Project in Aging: An overview.
Bookheimer, Susan Y; Salat, David H; Terpstra, Melissa; Ances, Beau M; Barch, Deanna M; Buckner, Randy L; Burgess, Gregory C; Curtiss, Sandra W; Diaz-Santos, Mirella; Elam, Jennifer Stine; Fischl, Bruce; Greve, Douglas N; Hagy, Hannah A; Harms, Michael P; Hatch, Olivia M; Hedden, Trey; Hodge, Cynthia; Japardi, Kevin C; Kuhn, Taylor P; Ly, Timothy K; Smith, Stephen M; Somerville, Leah H; Ugurbil, Kâmil; van der Kouwe, Andre; Van Essen, David; Woods, Roger P; Yacoub, Essa.
Afiliação
  • Bookheimer SY; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA. Electronic address: sbook@ucla.edu.
  • Salat DH; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Terpstra M; Center for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
  • Ances BM; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
  • Barch DM; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
  • Buckner RL; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Harvard University Department of Psychology and Center for Brain Science, Cambridge, MA, USA; Department of Psychiatry, Massachusetts General Hospita
  • Burgess GC; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Curtiss SW; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
  • Diaz-Santos M; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
  • Elam JS; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
  • Fischl B; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; MIT Division of Health Sciences and Technology Computer Science and Artificial Intelligence Laboratory, USA.
  • Greve DN; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Hagy HA; Center for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
  • Harms MP; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Hatch OM; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Hedden T; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Hodge C; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Japardi KC; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
  • Kuhn TP; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
  • Ly TK; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
  • Smith SM; Wellcome Centre for Integrative Neuroimaging - Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
  • Somerville LH; Harvard University Department of Psychology and Center for Brain Science, Cambridge, MA, USA.
  • Ugurbil K; Center for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
  • van der Kouwe A; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Van Essen D; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
  • Woods RP; Departments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
  • Yacoub E; Center for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
Neuroimage ; 185: 335-348, 2019 01 15.
Article em En | MEDLINE | ID: mdl-30332613
ABSTRACT
The original Human Connectome Project yielded a rich data set on structural and functional connectivity in a large sample of healthy young adults using improved methods of data acquisition, analysis, and sharing. More recent efforts are extending this approach to include infants, children, older adults, and brain disorders. This paper introduces and describes the Human Connectome Project in Aging (HCP-A), which is currently recruiting 1200 + healthy adults aged 36 to 100+, with a subset of 600 + participants returning for longitudinal assessment. Four acquisition sites using matched Siemens Prisma 3T MRI scanners with centralized quality control and data analysis are enrolling participants. Data are acquired across multimodal imaging and behavioral domains with a focus on factors known to be altered in advanced aging. MRI acquisitions include structural (whole brain and high resolution hippocampal) plus multiband resting state functional (rfMRI), task fMRI (tfMRI), diffusion MRI (dMRI), and arterial spin labeling (ASL). Behavioral characterization includes cognitive (such as processing speed and episodic memory), psychiatric, metabolic, and socioeconomic measures as well as assessment of systemic health (with a focus on menopause via hormonal assays). This dataset will provide a unique resource for examining how brain organization and connectivity changes across typical aging, and how these differences relate to key characteristics of aging including alterations in hormonal status and declining memory and general cognition. A primary goal of the HCP-A is to make these data freely available to the scientific community, supported by the Connectome Coordination Facility (CCF) platform for data quality assurance, preprocessing and basic analysis, and shared via the NIMH Data Archive (NDA). Here we provide the rationale for our study design and sufficient details of the resource for scientists to plan future analyses of these data. A companion paper describes the related Human Connectome Project in Development (HCP-D, Somerville et al., 2018), and the image acquisition protocol common to both studies (Harms et al., 2018).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Conectoma / Longevidade / Rede Nervosa Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Conectoma / Longevidade / Rede Nervosa Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article