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Domin M, Hordacre B, Hok P, Boyd LA, Conforto AB, Andrushko JW, Borich MR, Craddock RC, Donnelly MR, Dula AN, Warach SJ, Kautz SA, Lo BP, Schranz C, Seo NJ, Srivastava S, Wong KA, Zavaliangos-Petropulu A, Thompson PM, Liew SL, Lotze M. White Matter Integrity and Chronic Poststroke Upper Limb Function: An ENIGMA Stroke Recovery Analysis. Stroke 2023; 54:2438-2441. [PMID: 37465999 PMCID: PMC10529837 DOI: 10.1161/strokeaha.123.043713] [Citation(s) in RCA: 2] [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: 04/28/2023] [Accepted: 06/26/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Integrity of the corticospinal tract (CST) is an important biomarker for upper limb motor function following stroke. However, when structurally compromised, other tracts may become relevant for compensation or recovery of function. METHODS We used the ENIGMA Stroke Recovery data set, a multicenter, retrospective, and cross-sectional collection of patients with upper limb impairment during the chronic phase of stroke to test the relevance of tracts in individuals with less and more severe (laterality index of CST fractional anisotropy ≥0.25) CST damage in an observational study design. White matter integrity was quantified using fractional anisotropy for the CST, the superior longitudinal fascicle, and the callosal fibers interconnecting the primary motor cortices between hemispheres. Optic radiations served as a control tract as they have no a priori relevance for the motor system. Pearson correlation was used for testing correlation with upper limb motor function (Fugl-Meyer upper extremity). RESULTS From 1235 available data sets, 166 were selected (by imaging, Fugl-Meyer upper extremity, covariates, stroke location, and stage) for analyses. Only individuals with severe CST damage showed a positive association of fractional anisotropy in both callosal fibers interconnecting the primary motor cortices (r[21]=0.49; P=0.025) and superior longitudinal fascicle (r[21]=0.51; P=0.018) with Fugl-Meyer upper extremity. CONCLUSIONS Our data support the notion that individuals with more severe damage of the CST depend on residual pathways for achieving better upper limb outcome than those with less affected CST.
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Affiliation(s)
- Martin Domin
- Functional Imaging Unit, Diagnostic and Neuroradiology, University Hospital Greifswald, Greifswald, Germany
| | - Brenton Hordacre
- IIMPACT in Health, University of South Australia, Adelaide, South Australia, Australia
| | - Pavel Hok
- Functional Imaging Unit, Diagnostic and Neuroradiology, University Hospital Greifswald, Greifswald, Germany
| | - Lara A Boyd
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adriana B Conforto
- Hospital das Clínicas, São Paulo University, São Paulo, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Justin W Andrushko
- Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael R Borich
- Department of Rehabilitation Medicine, Emory School of Medicine, Atlanta, GA, USA
| | - Richard C Craddock
- Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, USA
| | - Miranda R Donnelly
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Adrienne N Dula
- Department of Neurology, Dell Medical School at The University of Texas Austin, Austin, TX, USA
| | - Steven J Warach
- Department of Neurology, Dell Medical School at The University of Texas Austin, Austin, TX, USA
| | - Steven A Kautz
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H. Johnson VA Health Care System, Charleston, SC, USA
| | - Bethany P Lo
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Christian Schranz
- Department of Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Na Jin Seo
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H. Johnson VA Health Care System, Charleston, SC, USA
- Department of Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Shraddha Srivastava
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
| | - Kristin A Wong
- Department of Physical Medicine & Rehabilitation, The University of Texas at Austin, Austin, TX, USA
| | - Artemis Zavaliangos-Petropulu
- Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Sook-Lei Liew
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Martin Lotze
- Functional Imaging Unit, Diagnostic and Neuroradiology, University Hospital Greifswald, Greifswald, Germany
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2
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Liew SL, Zavaliangos-Petropulu A, Schweighofer N, Jahanshad N, Lang CE, Lohse KR, Banaj N, Barisano G, Baugh LA, Bhattacharya AK, Bigjahan B, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Byblow WD, Cassidy JM, Charalambous CC, Ciullo V, Conforto AB, Craddock RC, Dula AN, Egorova N, Feng W, Fercho KA, Gregory CM, Hanlon CA, Hayward KS, Holguin JA, Hordacre B, Hwang DH, Kautz SA, Khlif MS, Kim B, Kim H, Kuceyeski A, Lo B, Liu J, Lin D, Lotze M, MacIntosh BJ, Margetis JL, Mohamed FB, Nordvik JE, Petoe MA, Piras F, Raju S, Ramos-Murguialday A, Revill KP, Roberts P, Robertson AD, Schambra HM, Seo NJ, Shiroishi MS, Soekadar SR, Spalletta G, Stinear CM, Suri A, Tang WK, Thielman GT, Thijs VN, Vecchio D, Ward NS, Westlye LT, Winstein CJ, Wittenberg GF, Wong KA, Yu C, Wolf SL, Cramer SC, Thompson PM. Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide. Brain Commun 2021; 3:fcab254. [PMID: 34805997 PMCID: PMC8598999 DOI: 10.1093/braincomms/fcab254] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 08/06/2021] [Accepted: 09/06/2021] [Indexed: 11/17/2022] Open
Abstract
Up to two-thirds of stroke survivors experience persistent sensorimotor impairments. Recovery relies on the integrity of spared brain areas to compensate for damaged tissue. Deep grey matter structures play a critical role in the control and regulation of sensorimotor circuits. The goal of this work is to identify associations between volumes of spared subcortical nuclei and sensorimotor behaviour at different timepoints after stroke. We pooled high-resolution T1-weighted MRI brain scans and behavioural data in 828 individuals with unilateral stroke from 28 cohorts worldwide. Cross-sectional analyses using linear mixed-effects models related post-stroke sensorimotor behaviour to non-lesioned subcortical volumes (Bonferroni-corrected, P < 0.004). We tested subacute (≤90 days) and chronic (≥180 days) stroke subgroups separately, with exploratory analyses in early stroke (≤21 days) and across all time. Sub-analyses in chronic stroke were also performed based on class of sensorimotor deficits (impairment, activity limitations) and side of lesioned hemisphere. Worse sensorimotor behaviour was associated with a smaller ipsilesional thalamic volume in both early (n = 179; d = 0.68) and subacute (n = 274, d = 0.46) stroke. In chronic stroke (n = 404), worse sensorimotor behaviour was associated with smaller ipsilesional putamen (d = 0.52) and nucleus accumbens (d = 0.39) volumes, and a larger ipsilesional lateral ventricle (d = -0.42). Worse chronic sensorimotor impairment specifically (measured by the Fugl-Meyer Assessment; n = 256) was associated with smaller ipsilesional putamen (d = 0.72) and larger lateral ventricle (d = -0.41) volumes, while several measures of activity limitations (n = 116) showed no significant relationships. In the full cohort across all time (n = 828), sensorimotor behaviour was associated with the volumes of the ipsilesional nucleus accumbens (d = 0.23), putamen (d = 0.33), thalamus (d = 0.33) and lateral ventricle (d = -0.23). We demonstrate significant relationships between post-stroke sensorimotor behaviour and reduced volumes of deep grey matter structures that were spared by stroke, which differ by time and class of sensorimotor measure. These findings provide additional insight into how different cortico-thalamo-striatal circuits support post-stroke sensorimotor outcomes.
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Affiliation(s)
- Sook-Lei Liew
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
- Keck School of Medicine, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Artemis Zavaliangos-Petropulu
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Nicolas Schweighofer
- Biokinesiology and Physical Therapy, Ostrow School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Catherine E Lang
- Departments of Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Keith R Lohse
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Giuseppe Barisano
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lee A Baugh
- Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
- Center for Brain and Behavior Research, Vermillion, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Anup K Bhattacharya
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Bavrina Bigjahan
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Michael R Borich
- Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA
| | - Lara A Boyd
- Department of Physical Therapy & the Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Eastern Cognitive Disorders Clinic, Monash University, Melbourne, VIC, Australia
| | - Cathrin M Buetefisch
- Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA
- Department of Radiology, Emory University, Atlanta, GA, USA
| | - Winston D Byblow
- Department of Exercise Sciences and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Jessica M Cassidy
- Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charalambos C Charalambous
- Department of Basic and Clinical Sciences, University of Nicosia Medical School, Nicosia, Cyprus
- Center for Neuroscience and Integrative Brain Research (CENIBRE), University of Nicosia Medical School, Nicosia, Cyprus
| | - Valentina Ciullo
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Adriana B Conforto
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
- Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | - Richard C Craddock
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Adrienne N Dula
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Natalia Egorova
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Wuwei Feng
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
| | - Kelene A Fercho
- Civil Aerospace Medical Institute, US Federal Aviation Administration, Oklahoma City, OK, USA
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
| | - Chris M Gregory
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
| | - Colleen A Hanlon
- Cancer Biology, Wake Forest School of Medicine, Winston Salem, NC, USA
- College of Health Professions, Medical University of South Carolina, Charleston, SC, USA
| | - Kathryn S Hayward
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Department of Physiotherapy, University of Melbourne, Heidelberg, VIC, Australia
- NHMRC CRE in Stroke Rehabilitation and Brain Recovery, University of Melbourne, Heidelberg, VIC, Australia
| | - Jess A Holguin
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Brenton Hordacre
- Innovation, IMPlementation and Clinical Translation (IIMPACT) in Health, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Darryl H Hwang
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Steven A Kautz
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| | - Mohamed Salah Khlif
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
| | - Bokkyu Kim
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Hosung Kim
- Keck School of Medicine, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Bethany Lo
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Jingchun Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - David Lin
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Martin Lotze
- Department of Diagnostic Radiology, University Medicine Greifswald, Greifswald, Germany
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - John L Margetis
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Feroze B Mohamed
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Matthew A Petoe
- Bionics Institute, Melbourne, VIC, Australia
- Department of Medicine and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Sharmila Raju
- Department of Neurology, New York University Langone, New York, NY, USA
| | - Ander Ramos-Murguialday
- TECNALIA, Basque Research and Technology Alliance (BRTA), Health Division, San Sebastian Donostia, Spain
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Kate P Revill
- Facility for Education and Research in Neuroscience, Emory University, Atlanta, GA, USA
| | - Pamela Roberts
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
- Department of Physical Medicine and Rehabilitation, Cedars-Sinai, Los Angeles, CA, USA
- California Rehabilitation Institute, Los Angeles, CA, USA
| | - Andrew D Robertson
- Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Kinesiology, University of Waterloo, Waterloo, ON, Canada
| | - Heidi M Schambra
- Department of Neurology, New York University Langone, New York, NY, USA
| | - Na Jin Seo
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, USA
- Department of Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Mark S Shiroishi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Surjo R Soekadar
- Clinical Neurotechnology Laboratory, Department of Psychiatry and Psychotherapy, Charité - University Medicine Berlin, Berlin, Germany
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Cathy M Stinear
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Anisha Suri
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wai Kwong Tang
- Department of Psychiatry, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong, China
| | - Gregory T Thielman
- Department of Physical Therapy and Neuroscience, University of the Sciences, Philadelphia, PA, USA
| | - Vincent N Thijs
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Department of Neurology, Austin Health, Heidelberg, VIC, Australia
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Nick S Ward
- UCL Queen Square Institute of Neurology, London, UK
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Carolee J Winstein
- Biokinesiology and Physical Therapy, Ostrow School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - George F Wittenberg
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Neurology, Department of Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Kristin A Wong
- Department of Physical Medicine & Rehabilitation, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Steven L Wolf
- Division of Physical Therapy Education, Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Division of Physical Therapy Education, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Division of Physical Therapy Education, Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, USA
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
- Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, USA
| | - Steven C Cramer
- California Rehabilitation Institute, Los Angeles, CA, USA
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
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Virostko J, Craddock RC, Williams JM, Triolo TM, Hilmes MA, Kang H, Du L, Wright JJ, Kinney M, Maki JH, Medved M, Waibel M, Kay TWH, Thomas HE, Greeley SAW, Steck AK, Moore DJ, Powers AC. Development of a standardized MRI protocol for pancreas assessment in humans. PLoS One 2021; 16:e0256029. [PMID: 34428220 PMCID: PMC8384163 DOI: 10.1371/journal.pone.0256029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/29/2021] [Indexed: 11/26/2022] Open
Abstract
Magnetic resonance imaging (MRI) has detected changes in pancreas volume and other characteristics in type 1 and type 2 diabetes. However, differences in MRI technology and approaches across locations currently limit the incorporation of pancreas imaging into multisite trials. The purpose of this study was to develop a standardized MRI protocol for pancreas imaging and to define the reproducibility of these measurements. Calibrated phantoms with known MRI properties were imaged at five sites with differing MRI hardware and software to develop a harmonized MRI imaging protocol. Subsequently, five healthy volunteers underwent MRI at four sites using the harmonized protocol to assess pancreas size, shape, apparent diffusion coefficient (ADC), longitudinal relaxation time (T1), magnetization transfer ratio (MTR), and pancreas and hepatic fat fraction. Following harmonization, pancreas size, surface area to volume ratio, diffusion, and longitudinal relaxation time were reproducible, with coefficients of variation less than 10%. In contrast, non-standardized image processing led to greater variation in MRI measurements. By using a standardized MRI image acquisition and processing protocol, quantitative MRI of the pancreas performed at multiple locations can be incorporated into clinical trials comparing pancreas imaging measures and metabolic state in individuals with type 1 or type 2 diabetes.
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Affiliation(s)
- John Virostko
- Department of Diagnostic Medicine, University of Texas at Austin, Austin, Texas, United States of America
- Livestrong Cancer Institutes, University of Texas at Austin, Austin, Texas, United States of America
- Department of Oncology, University of Texas at Austin, Austin, Texas, United States of America
- * E-mail:
| | - Richard C. Craddock
- Department of Diagnostic Medicine, University of Texas at Austin, Austin, Texas, United States of America
| | - Jonathan M. Williams
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Taylor M. Triolo
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Melissa A. Hilmes
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Liping Du
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Jordan J. Wright
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Mara Kinney
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Jeffrey H. Maki
- Department of Radiology, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Milica Medved
- Department of Radiology, University of Chicago, Chicago, IL, United States of America
| | - Michaela Waibel
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, Victoria, Australia
| | - Thomas W. H. Kay
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, Victoria, Australia
- Department of Medicine, St. Vincent’s Hospital, The University of Melbourne, Fitzroy, Victoria, Australia
| | - Helen E. Thomas
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, Victoria, Australia
- Department of Medicine, St. Vincent’s Hospital, The University of Melbourne, Fitzroy, Victoria, Australia
| | - Siri Atma W. Greeley
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, United States of America
| | - Andrea K. Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Daniel J. Moore
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Pathology, Immunology, and Microbiology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Alvin C. Powers
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, United States of America
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4
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Somandepalli K, Kelly C, Reiss PT, Zuo XN, Craddock RC, Yan CG, Petkova E, Castellanos FX, Milham MP, Di Martino A. Short-term test-retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder. Dev Cogn Neurosci 2015; 15:83-93. [PMID: 26365788 PMCID: PMC6989828 DOI: 10.1016/j.dcn.2015.08.003] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [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: 03/02/2015] [Revised: 08/07/2015] [Accepted: 08/09/2015] [Indexed: 01/05/2023] Open
Abstract
Children with or without ADHD have moderate/high R-fMRI test–retest reliability. Reliability is greater in controls than ADHD across most R-fMRI metrics. Regional differences in ICC related to diagnostic groups reflect underlying pathophysiology for ADHD affecting both inter and intra subject variability.
To date, only one study has examined test–retest reliability of resting state fMRI (R-fMRI) in children, none in clinical developing groups. Here, we assessed short-term test–retest reliability in a sample of 46 children (11–17.9 years) with attention-deficit/hyperactivity disorder (ADHD) and 57 typically developing children (TDC). Our primary test–retest reliability measure was the intraclass correlation coefficient (ICC), quantified for a range of R-fMRI metrics. We aimed to (1) survey reliability within and across diagnostic groups, and (2) compare voxel-wise ICC between groups. We found moderate-to-high ICC across all children and within groups, with higher-order functional networks showing greater ICC. Nearly all R-fMRI metrics exhibited significantly higher ICC in TDC than in children with ADHD for one or more regions. In particular, posterior cingulate and ventral precuneus exhibited group differences in ICC across multiple measures. In the context of overall moderate-to-high test–retest reliability in children, regional differences in ICC related to diagnostic groups likely reflect the underlying pathophysiology for ADHD. Our currently limited understanding of the factors contributing to inter- and intra-subject variability in ADHD underscores the need for large initiatives aimed at examining their impact on test–retest reliability in both clinical and developing populations.
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Affiliation(s)
- Krishna Somandepalli
- Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, The Child Study Center at NYU Langone Medical Center, 1 Park Avenue, New York, NY 10016, USA
| | - Clare Kelly
- Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, The Child Study Center at NYU Langone Medical Center, 1 Park Avenue, New York, NY 10016, USA
| | - Philip T Reiss
- Division of Biostatistics, The Child Study Center at NYU Langone Medical Center, 1 Park Avenue, New York, NY 10016, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Xi-Nian Zuo
- Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - R C Craddock
- Center for the Developing Brain, Child Mind Institute, 445 Park Avenue, New York, NY 10022, USA; Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Chao-Gan Yan
- Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, The Child Study Center at NYU Langone Medical Center, 1 Park Avenue, New York, NY 10016, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Eva Petkova
- Division of Biostatistics, The Child Study Center at NYU Langone Medical Center, 1 Park Avenue, New York, NY 10016, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - F X Castellanos
- Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, The Child Study Center at NYU Langone Medical Center, 1 Park Avenue, New York, NY 10016, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Michael P Milham
- Center for the Developing Brain, Child Mind Institute, 445 Park Avenue, New York, NY 10022, USA; Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Adriana Di Martino
- Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, The Child Study Center at NYU Langone Medical Center, 1 Park Avenue, New York, NY 10016, USA.
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