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Striatal cerebral blood flow, executive functioning, and fronto-striatal functional connectivity in clinical high risk for psychosis. Schizophr Res 2018; 201:231-236. [PMID: 29983268 DOI: 10.1016/j.schres.2018.06.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 01/22/2018] [Accepted: 06/09/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND Patients at clinical high risk (CHR) for psychosis exhibit increased striatal cerebral blood flow (CBF) during the resting state and impaired cognitive function. However, the relation between CBF and cognitive impairment is unknown. We therefore studied the association between striatal CBF and executive functioning and evaluated the functional connectivity (FC) between dorsal striatum and the frontal cortex in CHR. METHODS In total, 47 participants [29 with CHR, 18 matched clinical controls (CC)] were assessed for ultra-high-risk criteria and basic symptoms and were tested for executive functioning using the trail making test-B (TMT-B). Resting state mean CBF and FC were calculated from arterial spin labeling 3T MRI data. RESULTS Striatal CBF was highest in CHR patients with TMT-B deficits and was significantly higher than that in CC with and without TMT-B impairment. Further, a significantly lower CBF FC between the dorsal striatum and the anterior cingulate cortex was revealed in CHR. CONCLUSIONS Our study suggests that higher striatal CBF might represent focal pathology in CHR and is associated with disrupted cingulo-striatal FC and executive dysfunctions.
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Kaczkurkin AN, Moore TM, Calkins ME, Ciric R, Detre JA, Elliott MA, Foa EB, Garcia de la Garza A, Roalf DR, Rosen A, Ruparel K, Shinohara RT, Xia CH, Wolf DH, Gur RE, Gur RC, Satterthwaite TD. Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses. Mol Psychiatry 2018; 23:1981-1989. [PMID: 28924181 PMCID: PMC5858960 DOI: 10.1038/mp.2017.174] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 05/24/2017] [Accepted: 06/23/2017] [Indexed: 11/08/2022]
Abstract
The high comorbidity among neuropsychiatric disorders suggests a possible common neurobiological phenotype. Resting-state regional cerebral blood flow (CBF) can be measured noninvasively with magnetic resonance imaging (MRI) and abnormalities in regional CBF are present in many neuropsychiatric disorders. Regional CBF may also provide a useful biological marker across different types of psychopathology. To investigate CBF changes common across psychiatric disorders, we capitalized upon a sample of 1042 youths (ages 11-23 years) who completed cross-sectional imaging as part of the Philadelphia Neurodevelopmental Cohort. CBF at rest was quantified on a voxelwise basis using arterial spin labeled perfusion MRI at 3T. A dimensional measure of psychopathology was constructed using a bifactor model of item-level data from a psychiatric screening interview, which delineated four factors (fear, anxious-misery, psychosis and behavioral symptoms) plus a general factor: overall psychopathology. Overall psychopathology was associated with elevated perfusion in several regions including the right dorsal anterior cingulate cortex (ACC) and left rostral ACC. Furthermore, several clusters were associated with specific dimensions of psychopathology. Psychosis symptoms were related to reduced perfusion in the left frontal operculum and insula, whereas fear symptoms were associated with less perfusion in the right occipital/fusiform gyrus and left subgenual ACC. Follow-up functional connectivity analyses using resting-state functional MRI collected in the same participants revealed that overall psychopathology was associated with decreased connectivity between the dorsal ACC and bilateral caudate. Together, the results of this study demonstrate common and dissociable CBF abnormalities across neuropsychiatric disorders in youth.
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Affiliation(s)
- A N Kaczkurkin
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - T M Moore
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M E Calkins
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R Ciric
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J A Detre
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M A Elliott
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - E B Foa
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - A Garcia de la Garza
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D R Roalf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - A Rosen
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - K Ruparel
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - C H Xia
- 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 E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Radiology, 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
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Philadelphia Veterans Administration Medical Center, Philadelphia, PA, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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Harms MP, Somerville LH, Ances BM, Andersson J, Barch DM, Bastiani M, Bookheimer SY, Brown TB, Buckner RL, Burgess GC, Coalson TS, Chappell MA, Dapretto M, Douaud G, Fischl B, Glasser MF, Greve DN, Hodge C, Jamison KW, Jbabdi S, Kandala S, Li X, Mair RW, Mangia S, Marcus D, Mascali D, Moeller S, Nichols TE, Robinson EC, Salat DH, Smith SM, Sotiropoulos SN, Terpstra M, Thomas KM, Tisdall MD, Ugurbil K, van der Kouwe A, Woods RP, Zöllei L, Van Essen DC, Yacoub E. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects. Neuroimage 2018; 183:972-984. [PMID: 30261308 DOI: 10.1016/j.neuroimage.2018.09.060] [Citation(s) in RCA: 262] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/17/2018] [Accepted: 09/20/2018] [Indexed: 12/21/2022] Open
Abstract
The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full lifespan, collecting structural, resting-state fMRI, task-fMRI, diffusion, and perfusion MRI in participants from 5 to 100+ years of age. HCP-D is enrolling 1300+ healthy children, adolescents, and young adults (ages 5-21), and HCP-A is enrolling 1200+ healthy adults (ages 36-100+), with each study collecting longitudinal data in a subset of individuals at particular age ranges. The imaging protocols of the HCP-D and HCP-A studies are very similar, differing primarily in the selection of different task-fMRI paradigms. We strove to harmonize the imaging protocol to the greatest extent feasible with the completed HCP-YA (1200+ participants, aged 22-35), but some imaging-related changes were motivated or necessitated by hardware changes, the need to reduce the total amount of scanning per participant, and/or the additional challenges of working with young and elderly populations. Here, we provide an overview of the common HCP-D/A imaging protocol including data and rationales for protocol decisions and changes relative to HCP-YA. The result will be a large, rich, multi-modal, and freely available set of consistently acquired data for use by the scientific community to investigate and define normative developmental and aging related changes in the healthy human brain.
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Affiliation(s)
- Michael P Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
| | - Leah H Somerville
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Beau M Ances
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jesper Andersson
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Matteo Bastiani
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Timothy B Brown
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Randy L Buckner
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregory C Burgess
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Timothy S Coalson
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael A Chappell
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Gwenaëlle Douaud
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Bruce Fischl
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Matthew F Glasser
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; St. Luke's Hospital, St. Louis, MO, USA
| | - Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Cynthia Hodge
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Keith W Jamison
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Xiufeng Li
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Ross W Mair
- Center for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Silvia Mangia
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Daniel Marcus
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniele Mascali
- Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Rome, Italy
| | - Steen Moeller
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Thomas E Nichols
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Department of Statistics, University of Warwick, Coventry, UK
| | - Emma C Robinson
- Department of Biomedical Engineering, King's College London, London, UK
| | - David H Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen M Smith
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Stamatios N Sotiropoulos
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Melissa Terpstra
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Kathleen M Thomas
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - M Dylan Tisdall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kamil Ugurbil
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Roger P Woods
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA; Department of Neurology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Lilla Zöllei
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David C Van Essen
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
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105
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Somerville LH, Bookheimer SY, Buckner RL, Burgess GC, Curtiss SW, Dapretto M, Elam JS, Gaffrey MS, Harms MP, Hodge C, Kandala S, Kastman EK, Nichols TE, Schlaggar BL, Smith SM, Thomas KM, Yacoub E, Van Essen DC, Barch DM. The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. Neuroimage 2018; 183:456-468. [PMID: 30142446 DOI: 10.1016/j.neuroimage.2018.08.050] [Citation(s) in RCA: 147] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 08/18/2018] [Accepted: 08/20/2018] [Indexed: 12/14/2022] Open
Abstract
Recent technological and analytical progress in brain imaging has enabled the examination of brain organization and connectivity at unprecedented levels of detail. The Human Connectome Project in Development (HCP-D) is exploiting these tools to chart developmental changes in brain connectivity. When complete, the HCP-D will comprise approximately ∼1750 open access datasets from 1300 + healthy human participants, ages 5-21 years, acquired at four sites across the USA. The participants are from diverse geographical, ethnic, and socioeconomic backgrounds. While most participants are tested once, others take part in a three-wave longitudinal component focused on the pubertal period (ages 9-17 years). Brain imaging sessions are acquired on a 3 T Siemens Prisma platform and include structural, functional (resting state and task-based), diffusion, and perfusion imaging, physiological monitoring, and a battery of cognitive tasks and self-reports. For minors, parents additionally complete a battery of instruments to characterize cognitive and emotional development, and environmental variables relevant to development. Participants provide biological samples of blood, saliva, and hair, enabling assays of pubertal hormones, health markers, and banked DNA samples. This paper outlines the overarching aims of the project, the approach taken to acquire maximally informative data while minimizing participant burden, preliminary analyses, and discussion of the intended uses and limitations of the dataset.
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Affiliation(s)
- Leah H Somerville
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA.
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Randy L Buckner
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gregory C Burgess
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Sandra W Curtiss
- Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Jennifer Stine Elam
- Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA
| | - Michael S Gaffrey
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Michael P Harms
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Cynthia Hodge
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Erik K Kastman
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Thomas E Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Department of Statistics, University of Warwick, Coventry, UK; 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
| | - Bradley L Schlaggar
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA; Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA; Department of Neurology, Washington University Medical School, St. Louis, MO, USA; Department of Pediatrics, Washington University Medical School, St. Louis, MO, USA; Department of Radiology, Washington University Medical School, St. Louis, MO, USA
| | - Stephen M Smith
- 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
| | - Kathleen M Thomas
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - David C Van Essen
- Department of Neuroscience, Washington University Medical School, St. Louis, MO, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA; Department of Radiology, Washington University Medical School, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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Mayer AR, Kaushal M, Dodd AB, Hanlon FM, Shaff NA, Mannix R, Master CL, Leddy JJ, Stephenson D, Wertz CJ, Suelzer EM, Arbogast KB, Meier TB. Advanced biomarkers of pediatric mild traumatic brain injury: Progress and perils. Neurosci Biobehav Rev 2018; 94:149-165. [PMID: 30098989 DOI: 10.1016/j.neubiorev.2018.08.002] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 07/27/2018] [Accepted: 08/03/2018] [Indexed: 12/20/2022]
Abstract
There is growing public concern about neurodegenerative changes (e.g., Chronic Traumatic Encephalopathy) that may occur chronically following clinically apparent and clinically silent (i.e., sub-concussive blows) pediatric mild traumatic brain injury (pmTBI). However, there are currently no biomarkers that clinicians can use to objectively diagnose patients or predict those who may struggle to recover. Non-invasive neuroimaging, electrophysiological and neuromodulation biomarkers have promise for providing evidence of the so-called "invisible wounds" of pmTBI. Our systematic review, however, belies that notion, identifying a relative paucity of high-quality, clinically impactful, diagnostic or prognostic biomarker studies in the sub-acute injury phase (36 studies on unique samples in 28 years), with the majority focusing on adolescent pmTBI. Ultimately, well-powered longitudinal studies with appropriate control groups, as well as standardized and clearly-defined inclusion criteria (time post-injury, injury severity and past history) are needed to truly understand the complex pathophysiology that is hypothesized (i.e., still needs to be determined) to exist during the acute and sub-acute stages of pmTBI and may underlie post-concussive symptoms.
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Affiliation(s)
- Andrew R Mayer
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Pete & Nancy Domenici Hall, 1011 Yale Blvd. NE, Albuquerque, NM, 87106, United States; Neurology Department, University of New Mexico School of Medicine, Albuquerque, NM, 87131, United States; Psychiatry Department, University of New Mexico School of Medicine, Albuquerque, NM, 87131, United States; Psychology Department, University of New Mexico, Albuquerque, NM, 87131, United States.
| | - Mayank Kaushal
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, 53226, United States
| | - Andrew B Dodd
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Pete & Nancy Domenici Hall, 1011 Yale Blvd. NE, Albuquerque, NM, 87106, United States
| | - Faith M Hanlon
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Pete & Nancy Domenici Hall, 1011 Yale Blvd. NE, Albuquerque, NM, 87106, United States
| | - Nicholas A Shaff
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Pete & Nancy Domenici Hall, 1011 Yale Blvd. NE, Albuquerque, NM, 87106, United States
| | - Rebekah Mannix
- Division of Emergency Medicine, Boston Children's Hospital, Boston, MA, 02115, United States
| | - Christina L Master
- Center for Injury Research and Prevention, The Children's Hospital of Philadelphia, PA, 19104, United States; Division of Orthopedic Surgery, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States
| | - John J Leddy
- UBMD Department of Orthopaedics and Sports Medicine, University at Buffalo, Buffalo, NY, 14214, United States
| | - David Stephenson
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Pete & Nancy Domenici Hall, 1011 Yale Blvd. NE, Albuquerque, NM, 87106, United States
| | - Christopher J Wertz
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Pete & Nancy Domenici Hall, 1011 Yale Blvd. NE, Albuquerque, NM, 87106, United States
| | - Elizabeth M Suelzer
- Medical College of Wisconsin Libraries, Medical College of Wisconsin, Milwaukee, WI, 53226, United States
| | - Kristy B Arbogast
- Center for Injury Research and Prevention, The Children's Hospital of Philadelphia, PA, 19104, United States
| | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, 53226, United States; Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI, 53226, United States
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Ogren JA, Tripathi R, Macey PM, Kumar R, Stern JM, Eliashiv DS, Allen LA, Diehl B, Engel J, Rani MRS, Lhatoo SD, Harper RM. Regional cortical thickness changes accompanying generalized tonic-clonic seizures. Neuroimage Clin 2018; 20:205-215. [PMID: 30094170 PMCID: PMC6073085 DOI: 10.1016/j.nicl.2018.07.015] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 06/27/2018] [Accepted: 07/15/2018] [Indexed: 12/12/2022]
Abstract
Objective Generalized tonic-clonic seizures are accompanied by cardiovascular and respiratory sequelae that threaten survival. The frequency of these seizures is a major risk factor for sudden unexpected death in epilepsy (SUDEP), a leading cause of untimely death in epilepsy. The circumstances accompanying such fatal events suggest a cardiovascular or respiratory failure induced by unknown neural processes rather than an inherent cardiac or lung deficiency. Certain cortical regions, especially the insular, cingulate, and orbitofrontal cortices, are key structures that integrate sensory input and influence diencephalic and brainstem regions regulating blood pressure, cardiac rhythm, and respiration; output from those cortical regions compromised by epilepsy-associated injury may lead to cardiorespiratory dysregulation. The aim here was to assess changes in cortical integrity, reflected as cortical thickness, relative to healthy controls. Cortical alterations in areas that influence cardiorespiratory action could contribute to SUDEP mechanisms. Methods High-resolution T1-weighted images were collected with a 3.0-Tesla MRI scanner from 53 patients with generalized tonic-clonic seizures (Mean age ± SD: 37.1 ± 12.6 years, 22 male) at Case Western Reserve University, University College London, and the University of California at Los Angeles. Control data included 530 healthy individuals (37.1 ± 12.6 years; 220 male) from UCLA and two open access databases (OASIS and IXI). Cortical thickness group differences were assessed at all non-cerebellar brain surface locations (P < 0.05 corrected). Results Increased cortical thickness appeared in post-central gyri, insula, and subgenual, anterior, posterior, and isthmus cingulate cortices. Post-central gyri increases were greater in females, while males showed more extensive cingulate increases. Frontal and temporal cortex, lateral orbitofrontal, frontal pole, and lateral parietal and occipital cortices showed thinning. The extents of thickness changes were sex- and hemisphere-dependent, with only males exhibiting right-sided and posterior cingulate thickening, while females showed only left lateral orbitofrontal thinning. Regional cortical thickness showed modest correlations with seizure frequency, but not epilepsy duration. Significance Cortical thickening and thinning occur in patients with generalized tonic-clonic seizures, in cardiovascular and somatosensory areas, with extent of changes sex- and hemisphere-dependent. The data show injury in key autonomic and respiratory cortical areas, which may contribute to dysfunctional cardiorespiratory patterns during seizures, as well as to longer-term SUDEP risk.
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Affiliation(s)
- Jennifer A Ogren
- Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA
| | - Raghav Tripathi
- Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA; Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Paul M Macey
- UCLA School of Nursing, University of California at Los Angeles, Los Angeles, CA, USA; Brain Research Institute, University of California at Los Angeles, Los Angeles, CA, USA
| | - Rajesh Kumar
- Brain Research Institute, University of California at Los Angeles, Los Angeles, CA, USA; Department of Anesthesiology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA; Department of Radiological Sciences, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA
| | - John M Stern
- Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA
| | - Dawn S Eliashiv
- Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA
| | - Luke A Allen
- Institute of Neurology, University College London, London, United Kingdom
| | - Beate Diehl
- Institute of Neurology, University College London, London, United Kingdom
| | - Jerome Engel
- Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA; Brain Research Institute, University of California at Los Angeles, Los Angeles, CA, USA; Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA
| | | | | | - Ronald M Harper
- Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, CA, USA; Brain Research Institute, University of California at Los Angeles, Los Angeles, CA, USA.
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Mitchell RH, Metcalfe AW, Islam AH, Toma S, Patel R, Fiksenbaum L, Korczak D, MacIntosh BJ, Goldstein BI. Sex differences in brain structure among adolescents with bipolar disorder. Bipolar Disord 2018; 20:448-458. [PMID: 29956452 DOI: 10.1111/bdi.12663] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVES Bipolar disorder (BD) is twice as prevalent amongst female as amongst male adolescents. Thus far, little is known regarding the neurostructural substrates underlying this disparity. We therefore examined sex differences in neurostructural magnetic resonane imaging (MRI) phenotypes amongst adolescents with BD. METHODS T1-weighted structural MRI was acquired from 44 BD (25 female [F] and 19 male [M]) and 58 (28 F and 30 M) healthy control (HC) adolescents (13-21 years old). Whole-brain and region-of-interest (ROI) analyses examined structural volume and cortical thickness using FreeSurfer. ROIs included the ventrolateral prefrontal cortex (vlPFC), anterior cingulate cortex (ACC), amygdala and hippocampus. General linear models evaluated sex-by-diagnosis interactions, controlling for age and intracranial volume. RESULTS Whole-brain analysis revealed sex-by-diagnosis interactions in the left supramarginal gyrus (SMG) (P = .02, η2 = 0.02) and right inferior parietal lobule (IPL) volumes (P = .04, η2 = 0.01). Sex differences in HCs were found in the SMG (M > F) and IPL (F > M). In BD, sex differences were reversed and of smaller magnitude in the SMG (M < F) and of greater magnitude in the IPL (F > M), driven by trends towards smaller SMG and IPL in BD vs HC male participants (P = .05 and .14). Whole-brain analyses for cortical thickness, and ROI analyses for volume and cortical thickness, were not significant. CONCLUSIONS Normative sex differences may be disrupted in adolescent BD in the SMG and IPL, heteromodal association network hubs responsible for higher order integration of cognitive and emotional processing. Unexpectedly, these findings may inform our understanding of aberrant brain structure in adolescent BD male patients, rather than female patients. Future work should focus on replication, as well as the impact of puberty status and sex hormones on measures of brain structure and function.
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Affiliation(s)
- Rachel Hb Mitchell
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
| | - Arron Ws Metcalfe
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Alvi H Islam
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Pharmacology, University of Toronto, Toronto, Canada
| | - Simina Toma
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Ronak Patel
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Lisa Fiksenbaum
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Daphne Korczak
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Department of Psychiatry, Hospital for Sick Children, Toronto, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Pharmacology, University of Toronto, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
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Reardon PK, Seidlitz J, Vandekar S, Liu S, Patel R, Park MTM, Alexander-Bloch A, Clasen LS, Blumenthal JD, Lalonde FM, Giedd JN, Gur RC, Gur RE, Lerch JP, Chakravarty MM, Satterthwaite TD, Shinohara RT, Raznahan A. Normative brain size variation and brain shape diversity in humans. Science 2018; 360:1222-1227. [PMID: 29853553 PMCID: PMC7485526 DOI: 10.1126/science.aar2578] [Citation(s) in RCA: 127] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 04/09/2018] [Indexed: 01/09/2023]
Abstract
Brain size variation over primate evolution and human development is associated with shifts in the proportions of different brain regions. Individual brain size can vary almost twofold among typically developing humans, but the consequences of this for brain organization remain poorly understood. Using in vivo neuroimaging data from more than 3000 individuals, we find that larger human brains show greater areal expansion in distributed frontoparietal cortical networks and related subcortical regions than in limbic, sensory, and motor systems. This areal redistribution recapitulates cortical remodeling across evolution, manifests by early childhood in humans, and is linked to multiple markers of heightened metabolic cost and neuronal connectivity. Thus, human brain shape is systematically coupled to naturally occurring variations in brain size through a scaling map that integrates spatiotemporally diverse aspects of neurobiology.
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Affiliation(s)
- P K Reardon
- Developmental Neurogenomics Unit, National Institute of Mental Health, NIH, Bethesda, MD, USA
- Department of Physiology, Anatomy and Genetics, Oxford University, UK
- Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Jakob Seidlitz
- Developmental Neurogenomics Unit, National Institute of Mental Health, NIH, Bethesda, MD, USA
- Department of Psychiatry, Cambridge University, Cambridge, UK
| | - Simon Vandekar
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Siyuan Liu
- Developmental Neurogenomics Unit, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - Raihaan Patel
- Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Min Tae M Park
- Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | | | - Liv S Clasen
- Developmental Neurogenomics Unit, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - Jonathan D Blumenthal
- Developmental Neurogenomics Unit, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - Francois M Lalonde
- Developmental Neurogenomics Unit, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - Jay N Giedd
- Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jason P Lerch
- Mouse Imaging Center, Hospital for Sick Children, Toronto, ON, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | | | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Armin Raznahan
- Developmental Neurogenomics Unit, National Institute of Mental Health, NIH, Bethesda, MD, USA.
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Liu HS, Hartung EA, Jawad AF, Ware JB, Laney N, Port AM, Gur RC, Hooper SR, Radcliffe J, Furth SL, Detre JA. Regional Cerebral Blood Flow in Children and Young Adults with Chronic Kidney Disease. Radiology 2018; 288:849-858. [PMID: 29893643 DOI: 10.1148/radiol.2018171339] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Purpose To investigate the pathophysiologic effects of chronic kidney disease (CKD) on brain function in children with CKD by correlating cerebral blood flow (CBF) with clinical and behavioral indexes. Materials and Methods In this prospective study, 73 pediatric patients with CKD (mean age, 15.80 years ± 3.63; range, 9-25 years) and 57 control subjects (mean age, 15.65 years ± 3.76; range, 9-25 years) were recruited. CBF measurements were acquired with an MRI arterial spin labeling scheme. Neurocognitive measurements were performed with traditional and computerized neurocognitive batteries. Clinical data were also collected. Group-level global and regional CBF differences between patients with CKD and control subjects were assessed. Regression analyses were conducted to evaluate the associations among regional CBF, clinical variables, and cognitive performance. Results Patients with CKD showed higher global CBF compared with control subjects that was attributable to reduced hematocrit level (mean, 60.2 mL/100 g/min ± 9.0 vs 56.5 mL/100 g/min ± 8.0, respectively). White matter CBF showed correlation with blood pressure (r = 0.244, P = .039), a finding suggestive of altered cerebrovascular autoregulation. Regional CBF differences between patients and control subjects included regions in the "default mode" network. In patients with CKD, positive extrema in the precuneus showed a strong correlation with executive function (ρ = 0.608, P = .001). Conclusion Systemic effects of estimated glomerular filtration rate, hematocrit level, and blood pressure on CBF and alterations in regional CBF may reflect impaired brain function underlying neurocognitive symptoms in CKD. These findings further characterize the nature of alterations in brain physiologic features in children, adolescents, and young adults with CKD.
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Affiliation(s)
- Hua-Shan Liu
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Erum A Hartung
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Abbas F Jawad
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Jeffrey B Ware
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Nina Laney
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Allison M Port
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Ruben C Gur
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Stephen R Hooper
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Jerilynn Radcliffe
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - Susan L Furth
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
| | - John A Detre
- From the School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.S.L.); Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (E.A.H.); Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (A.F.J.); Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (J.B.W.); Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (N.L.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (A.M.P.); Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pa (R.C.G.); Department of Allied Health Sciences, University of North Carolina School of Medicine, Chapel Hill, NC (S.R.H.); Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (J.R.); Division of Nephrology, Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania; Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.L.F.); and Departments of Neurology and Radiology, Perelman School of Medicine at the University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St, Philadelphia, PA 19104 (J.A.D.)
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111
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Urback AL, Metcalfe AWS, Korczak DJ, MacIntosh BJ, Goldstein BI. Magnetic resonance imaging of cerebrovascular reactivity in healthy adolescents. J Neurosci Methods 2018; 306:1-9. [PMID: 29879447 DOI: 10.1016/j.jneumeth.2018.06.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 05/24/2018] [Accepted: 06/02/2018] [Indexed: 10/14/2022]
Abstract
BACKGROUND Cerebrovascular reactivity (CVR), an important measure of cerebrovascular health in adults, has not been examined in healthy adolescents. Beyond the direct importance of understanding CVR in healthy youth, studies on this topic can yield insights regarding brain disease. We set out to evaluate 3 different CVR modelling approaches. NEW METHOD Thirty-nine healthy adolescents (ages 13-19 years, 20 females) completed six blocks of 15-second breath-holds separated by 30-second blocks of free-breathing. CVR was measured using blood-oxygenation-level dependent functional magnetic resonance imaging at 3-Tesla; voxel-wise analyses were complemented by regional analyses in five major subdivisions of the brain. Hemodynamic response functions were modelled using: (1) an individualized delay term (double-gamma variate convolved with a boxcar function), (2) with a standard 9-second delay term, and (3) a sine-cosine regressor. RESULTS Individual-delay yielded superior model fit or larger cluster volumes. Regional analysis found differences in CVR and time-to-peak CVR. Males had higher brain-wide CVR in comparison to females (p = 0.025, η2part = 0.345). BMI and blood pressure were not significantly associated with CVR (all p > 0.4). COMPARISON WITH EXISTING METHODS This was the first study to compare these methods in youth. Regional differences were similar to adult studies. CONCLUSIONS These findings lend support to future breath-hold CVR studies in youth, and highlight the merit of applying individualized-delay estimates. Regional variability and sex-related differences in CVR suggest that these variables should be considered in future studies, particularly those that examine disease states with predilection for specific brain regions or those diseases characterized by sex differences.
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Affiliation(s)
- Adam L Urback
- Department of Psychiatry, Sunnybrook Health Sciences Centre, 2075 Bayview Ave., FG-53, Toronto, ON, M4N 3M5, Canada; Department of Pharmacology, University of Toronto, Medicine, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
| | - Arron W S Metcalfe
- Department of Psychiatry, Sunnybrook Health Sciences Centre, 2075 Bayview Ave., FG-53, Toronto, ON, M4N 3M5, Canada; Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Room M6 180, Toronto, ON, M4N 3M5, Canada.
| | - Daphne J Korczak
- Department of Psychiatry, University of Toronto, Medicine, 250 College Street, Room 835, Toronto, ON, M5T 1R8, Canada; Department of Psychiatry, Hospital For Sick Children, 555 University Avenue, Room 1145, Elm Wing, Toronto, ON, M5G 1X8, Canada.
| | - Bradley J MacIntosh
- Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, 2075 Bayview Ave., Room M6 180, Toronto, ON, M4N 3M5, Canada; University of Toronto, Department of Medical Biophysics, 101 College Street Suite 15-701, Toronto, ON, M5G 1L7, Canada.
| | - Benjamin I Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, 2075 Bayview Ave., FG-53, Toronto, ON, M4N 3M5, Canada; Department of Pharmacology, University of Toronto, Medicine, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada; Department of Psychiatry, University of Toronto, Medicine, 250 College Street, Room 835, Toronto, ON, M5T 1R8, Canada.
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Leddy JJ, Baker JG, Willer B. Active Rehabilitation of Concussion and Post-concussion Syndrome. Phys Med Rehabil Clin N Am 2018; 27:437-54. [PMID: 27154855 DOI: 10.1016/j.pmr.2015.12.003] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Concussion is a physiological brain injury with physical, cognitive, and emotional sequelae. The macrophysiological insult to the brain affects the autonomic nervous system and its control of cerebral blood flow. Most patients recover within 2 weeks, but some do not. Persistence of symptoms beyond the generally accepted time frame for recovery is called post-concussion syndrome (PCS). PCS is not a single entity; it is a group of disorders that requires specific forms of therapy. Rest has been the mainstay of the treatment for concussion and PCS. This article discusses the rationale for the active treatment of concussion and PCS.
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Affiliation(s)
- John J Leddy
- UBMD Department of Orthopaedics and Sports Medicine, SUNY Buffalo, 160 Farber Hall, Buffalo, NY 14214, USA.
| | - John G Baker
- UBMD Department of Orthopaedics and Sports Medicine and Nuclear Medicine, Jacobs School of Medicine and Biomedical Sciences, School of Social Work, University at Buffalo, Buffalo, NY, USA
| | - Barry Willer
- Department of Psychiatry, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
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113
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Uddin LQ, Karlsgodt KH. Future Directions for Examination of Brain Networks in Neurodevelopmental Disorders. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2018; 47:483-497. [PMID: 29634380 PMCID: PMC6842321 DOI: 10.1080/15374416.2018.1443461] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Neurodevelopmental disorders are associated with atypical development and maturation of brain networks. A recent focus on human connectomics research and the growing popularity of open science initiatives has created the ideal climate in which to make real progress toward understanding the neurobiology of disorders affecting youth. Here we outline future directions for neuroscience researchers examining brain networks in neurodevelopmental disorders, highlighting gaps in the current literature. We emphasize the importance of leveraging large neuroimaging and phenotypic data sets recently made available to the research community, and we suggest specific novel methodological approaches, including analysis of brain dynamics and structural connectivity, that have the potential to produce the greatest clinical insight. Transdiagnostic approaches will also become increasingly necessary as the Research Domain Criteria framework put forth by the National Institute of Mental Health permeates scientific discourse. During this exciting era of big data and increased computational sophistication of analytic tools, the possibilities for significant advancement in understanding neurodevelopmental disorders are limitless.
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Affiliation(s)
- Lucina Q. Uddin
- Department of Psychology, University of Miami, Coral Gables, FL, USA 33124
- Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA 33136
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Katherine H. Karlsgodt
- Departments of Psychology and Psychiatry, University of California Los Angeles, Los Angeles, CA, USA 90095
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114
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Hackman DA, Kuan DCH, Manuck SB, Gianaros PJ. Socioeconomic Position and Age-Related Disparities in Regional Cerebral Blood Flow Within the Prefrontal Cortex. Psychosom Med 2018; 80:336-344. [PMID: 29406324 PMCID: PMC7104768 DOI: 10.1097/psy.0000000000000566] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Socioeconomic position (SEP) is associated with cerebrovascular health and brain function, particularly in prefrontal cortex and medial temporal lobe regions that exhibit plasticity across the life course. However, it is unknown whether SEP associates with resting cerebral blood flow (CBF), an indicator of baseline brain function, in these regions in midlife, and whether the association is (a) period specific, with independent associations for childhood and adulthood SEP, or driven by life course SEP, and (b) explained by a persistent disparity, widening disparity, or the leveling of disparities with age. METHODS To address these questions, we analyzed cerebral perfusion derived by magnetic resonance imaging in a cross-sectional study of healthy adults (N = 443) who reported on childhood and adult SEP. Main effects were examined as an index of persistent disparity and age by SEP interactions as reflecting widening or leveling disparities. RESULTS Stable high SEP across the lifespan was associated with higher global CBF and regional CBF (rCBF) in inferior frontal gyrus. However, childhood SEP was associated with rCBF in middle frontal gyrus, as moderated by age (β = 0.04, p = .035): rCBF was inversely associated with age only for those whose parents had a high school education or below. No associations were observed for the hippocampus or amygdala. CONCLUSIONS Life course SEP associations with rCBF in prefrontal cortex are suggestive of persistent disparities, whereas the age by childhood SEP interaction suggests that childhood disadvantage relates to a widening disparity, independent of global differences. These differential patterns in midlife may relate to disparities in later-life cerebrovascular and neurocognitive outcomes.
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Affiliation(s)
- Daniel A Hackman
- From the USC Suzanne Dworak-Peck School of Social Work (Hackman), University of Southern California, Los Angeles, California; and Department of Psychology (Kuan, Manuck, Gianaros), Center for the Neural Basis of Cognition (Gianaros), University of Pittsburgh, Pittsburgh, Pennsylvania
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115
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Measurement of pediatric regional cerebral blood flow from 6 months to 15 years of age in a clinical population. Eur J Radiol 2018; 101:38-44. [DOI: 10.1016/j.ejrad.2018.02.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 12/17/2017] [Accepted: 02/05/2018] [Indexed: 12/16/2022]
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Pehlivanova M, Wolf DH, Sotiras A, Kaczkurkin AN, Moore TM, Ciric R, Cook PA, Garcia de La Garza A, Rosen AFG, Ruparel K, Sharma A, Shinohara RT, Roalf DR, Gur RC, Davatzikos C, Gur RE, Kable JW, Satterthwaite TD. Diminished Cortical Thickness Is Associated with Impulsive Choice in Adolescence. J Neurosci 2018; 38:2471-2481. [PMID: 29440536 PMCID: PMC5858592 DOI: 10.1523/jneurosci.2200-17.2018] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 01/08/2018] [Accepted: 01/11/2018] [Indexed: 12/30/2022] Open
Abstract
Adolescence is characterized by both maturation of brain structure and increased risk of negative outcomes from behaviors associated with impulsive decision-making. One important index of impulsive choice is delay discounting (DD), which measures the tendency to prefer smaller rewards available soon over larger rewards delivered after a delay. However, it remains largely unknown how individual differences in structural brain development may be associated with impulsive choice during adolescence. Leveraging a unique large sample of 427 human youths (208 males and 219 females) imaged as part of the Philadelphia Neurodevelopmental Cohort, we examined associations between delay discounting and cortical thickness within structural covariance networks. These structural networks were derived using non-negative matrix factorization, an advanced multivariate technique for dimensionality reduction, and analyzed using generalized additive models with penalized splines to capture both linear and nonlinear developmental effects. We found that impulsive choice, as measured by greater discounting, was most strongly associated with diminished cortical thickness in structural brain networks that encompassed the ventromedial prefrontal cortex, orbitofrontal cortex, temporal pole, and temporoparietal junction. Furthermore, structural brain networks predicted DD above and beyond cognitive performance. Together, these results suggest that reduced cortical thickness in regions known to be involved in value-based decision-making is a marker of impulsive choice during the critical period of adolescence.SIGNIFICANCE STATEMENT Risky behaviors during adolescence, such as initiation of substance use or reckless driving, are a major source of morbidity and mortality. In this study, we present evidence from a large sample of youths that diminished cortical thickness in specific structural brain networks is associated with impulsive choice. Notably, the strongest association between impulsive choice and brain structure was seen in regions implicated in value-based decision-making; namely, the ventromedial prefrontal and orbitofrontal cortices. Moving forward, such neuroanatomical markers of impulsivity may aid in the development of personalized interventions targeted to reduce risk of negative outcomes resulting from impulsivity during adolescence.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Russell T Shinohara
- Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | | | - Ruben C Gur
- Psychiatry and
- Radiology, Perelman School of Medicine, and
| | | | - Raquel E Gur
- Psychiatry and
- Radiology, Perelman School of Medicine, and
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Kindler J, Schultze-Lutter F, Hauf M, Dierks T, Federspiel A, Walther S, Schimmelmann BG, Hubl D. Increased Striatal and Reduced Prefrontal Cerebral Blood Flow in Clinical High Risk for Psychosis. Schizophr Bull 2018; 44:182-192. [PMID: 28575528 PMCID: PMC5768043 DOI: 10.1093/schbul/sbx070] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Increased striatal dopaminergic activity and decreased prefrontal functioning have been reported in individuals at clinical high risk (CHR) for psychosis. Abnormal metabolic rate might affect resting-state cerebral blood flow (rCBF) in the respective regions. Here, we examined if striatal and prefrontal rCBF differ between patients with CHR, first-episode psychosis (FEP), chronic schizophrenia-spectrum disorder (SZ) and controls. Two cohorts with a total of 122 participants were included and analyzed separately: 32 patients with SZ and 31 healthy controls (HC) from the University Hospital of Psychiatry, and 59 patients from the Bern Early Recognition and Intervention Center (29 with CHR, 12 with FEP, and 18 clinical controls [CC]). Ultra-high risk criteria were assessed with the Structured Interview for Psychosis-Risk Syndromes, basic symptom criteria with the Schizophrenia Proneness Instrument. rCBF was measured with pseudo-continuous arterial spin labeling 3T-Magnetic Resonance Imaging. Striatal rCBF was significantly increased and prefrontal rCBF significantly decreased in the SZ group compared to HC group and in the CHR and FEP groups compared to CC group. Striatal rCBF correlated significantly with positive symptom scores in SZ and CHR. An inverse correlation between striatal and frontal rCBF was found in controls (HC, CC), but not in patient groups (SZ, FEP, CHR). This is the first study to demonstrate increased neuronal activity within the striatum, but reduced prefrontal activity in patients with CHR, FEP, and SZ compared to the respective controls. Our results indicate that alterations in striatal and prefrontal rCBF are reflecting metabolic abnormalities preceding the onset of frank psychosis.
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Affiliation(s)
- Jochen Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland,To whom correspondence should be addressed; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Switzerland; tel: +41319328554, fax: +41319328569, e-mail:
| | - Frauke Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Martinus Hauf
- Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Thomas Dierks
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Benno G Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland,University Hospital of Child and Adolescent Psychiatry, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Daniela Hubl
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
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Nguyen TV, Wu M, Lew J, Albaugh MD, Botteron KN, Hudziak JJ, Fonov VS, Collins DL, Campbell BC, Booij L, Herba C, Monnier P, Ducharme S, McCracken JT. Dehydroepiandrosterone impacts working memory by shaping cortico-hippocampal structural covariance during development. Psychoneuroendocrinology 2017; 86:110-121. [PMID: 28946055 PMCID: PMC5659912 DOI: 10.1016/j.psyneuen.2017.09.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 09/08/2017] [Accepted: 09/11/2017] [Indexed: 11/18/2022]
Abstract
Existing studies suggest that dehydroepiandrosterone (DHEA) may be important for human brain development and cognition. For example, molecular studies have hinted at the critical role of DHEA in enhancing brain plasticity. Studies of human brain development also support the notion that DHEA is involved in preserving cortical plasticity. Further, some, though not all, studies show that DHEA administration may lead to improvements in working memory in adults. Yet these findings remain limited by an incomplete understanding of the specific neuroanatomical mechanisms through which DHEA may impact the CNS during development. Here we examined associations between DHEA, cortico-hippocampal structural covariance, and working memory (216 participants [female=123], age range 6-22 years old, mean age: 13.6 +/-3.6 years, each followed for a maximum of 3 visits over the course of 4 years). In addition to administering performance-based, spatial working memory tests to these children, we also collected ecological, parent ratings of working memory in everyday situations. We found that increasingly higher DHEA levels were associated with a shift toward positive insular-hippocampal and occipito-hippocampal structural covariance. In turn, DHEA-related insular-hippocampal covariance was associated with lower spatial working memory but higher overall working memory as measured by the ecological parent ratings. Taken together with previous research, these results support the hypothesis that DHEA may optimize cortical functions related to general attentional and working memory processes, but impair the development of bottom-up, hippocampal-to-cortical connections, resulting in impaired encoding of spatial cues.
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Affiliation(s)
- Tuong-Vi Nguyen
- Department of Psychiatry, McGill University, Montreal, QC, H3A1A1, Canada; Department of Obstetrics-Gynecology, McGill University Health Center, Montreal, QC, H4A 3J1, Canada; Research Institute of the McGill University Health Center, Montreal, QC, H4A 3J1, Canada.
| | - Mia Wu
- Department of Psychology, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Jimin Lew
- Department of Psychology, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Matthew D Albaugh
- Department of Psychology, University of Vermont, College of Medicine, Burlington, VT, 05405, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA; Brain Development Cooperative Group, United States
| | - James J Hudziak
- Department of Psychology, University of Vermont, College of Medicine, Burlington, VT, 05405, USA; Brain Development Cooperative Group, United States
| | - Vladimir S Fonov
- McConnell Brain imaging Centre, Montreal Neurological Institute, Montreal, QC, H3A 2B4, Canada
| | - D Louis Collins
- McConnell Brain imaging Centre, Montreal Neurological Institute, Montreal, QC, H3A 2B4, Canada
| | - Benjamin C Campbell
- Department of Anthropology, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA
| | - Linda Booij
- Department of Psychiatry, McGill University, Montreal, QC, H3A1A1, Canada; Department of Psychology, Concordia University, Montreal, QC, H4B 1R6, Canada; CHU Sainte Justine Hospital Research Centre, University of Montreal, Montreal, QC, H3T1C5, Canada
| | - Catherine Herba
- CHU Sainte Justine Hospital Research Centre, University of Montreal, Montreal, QC, H3T1C5, Canada; Department of Psychology, Université du Québec à Montréal, Montreal, QC, Canada
| | - Patricia Monnier
- Department of Obstetrics-Gynecology, McGill University Health Center, Montreal, QC, H4A 3J1, Canada; Research Institute of the McGill University Health Center, Montreal, QC, H4A 3J1, Canada
| | - Simon Ducharme
- Department of Psychiatry, McGill University, Montreal, QC, H3A1A1, Canada; McConnell Brain imaging Centre, Montreal Neurological Institute, Montreal, QC, H3A 2B4, Canada; Department of Neurology & Neurosurgery, McGill University, Montreal, QC, H3A 1A1, Canada
| | - James T McCracken
- Brain Development Cooperative Group, United States; Department of Child and Adolescent Psychiatry, University of California in Los Angeles, Los Angeles, CA, 90024, USA
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Gur RC, Gur RE. Complementarity of sex differences in brain and behavior: From laterality to multimodal neuroimaging. J Neurosci Res 2017; 95:189-199. [PMID: 27870413 DOI: 10.1002/jnr.23830] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 06/20/2016] [Accepted: 06/20/2016] [Indexed: 01/12/2023]
Abstract
Although, overwhelmingly, behavior is similar in males and females, and, correspondingly, the brains are similar, sex differences permeate both brain and behavioral measures, and these differences have been the focus of increasing scrutiny by neuroscientists. This Review describes milestones from more than 3 decades of research in brain and behavior. This research was necessarily bound by available methodology, and we began with indirect behavioral indicators of brain function such as handedness. We proceeded to the use of neuropsychological batteries and then to structural and functional neuroimaging that provided the foundations of a cognitive neuroscience-based computerized neurocognitive battery. Sex differences were apparent and consistent in neurocognitive measures, with females performing better on memory and social cognition tasks and males on spatial processing and motor speed. Sex differences were also prominent in all major brain parameters, including higher rates of cerebral blood flow, higher percentage of gray matter tissue, and higher interhemispheric connectivity in females, compared with higher percentage of white matter and greater intrahemispheric connectivity as well as higher glucose metabolism in limbic regions in males. Many of these differences are present in childhood, but they become more prominent with adolescence, perhaps linked to puberty. Overall, they indicate complementarity between the sexes that would result in greater adaptive diversity. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Ruben C Gur
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Raquel E Gur
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Abstract
OBJECTIVE Outline effects of functional neuroimaging on neuropsychology over the past 25 years. METHOD Functional neuroimaging methods and studies will be described that provide a historical context, offer examples of the utility of neuroimaging in specific domains, and discuss the limitations and future directions of neuroimaging in neuropsychology. RESULTS Tracking the history of publications on functional neuroimaging related to neuropsychology indicates early involvement of neuropsychologists in the development of these methodologies. Initial progress in neuropsychological application of functional neuroimaging has been hampered by costs and the exposure to ionizing radiation. With rapid evolution of functional methods-in particular functional MRI (fMRI)-neuroimaging has profoundly transformed our knowledge of the brain. Its current applications span the spectrum of normative development to clinical applications. The field is moving toward applying sophisticated statistical approaches that will help elucidate distinct neural activation networks associated with specific behavioral domains. The impact of functional neuroimaging on clinical neuropsychology is more circumscribed, but the prospects remain enticing. CONCLUSIONS The theoretical insights and empirical findings of functional neuroimaging have been led by many neuropsychologists and have transformed the field of behavioral neuroscience. Thus far they have had limited effects on the clinical practices of neuropsychologists. Perhaps it is time to add training in functional neuroimaging to the clinical neuropsychologist's toolkit and from there to the clinic or bedside. (PsycINFO Database Record
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Affiliation(s)
- David R. Roalf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine Philadelphia, Philadelphia, PA, 19104
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine Philadelphia, Philadelphia, PA, 19104
- Lifespan Brain Institute (LiBI) at the University of Pennsylvania and Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
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121
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Roalf DR, Eric Schmitt J, Vandekar SN, Satterthwaite TD, Shinohara RT, Ruparel K, Elliott MA, Prabhakaran K, McDonald-McGinn DM, Zackai EH, Gur RC, Emanuel BS, Gur RE. White matter microstructural deficits in 22q11.2 deletion syndrome. Psychiatry Res 2017; 268:35-44. [PMID: 28865345 PMCID: PMC5814141 DOI: 10.1016/j.pscychresns.2017.08.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 08/02/2017] [Accepted: 08/06/2017] [Indexed: 02/06/2023]
Abstract
Diffusion tensor imaging (DTI) studies in 22q11.2 deletion syndrome (22q11DS), a neurogenetic condition associated with psychosis, report brain white matter (WM) microstructure aberrations. Several studies report that WM disruptions in 22q11DS are similar to deficits in idiopathic schizophrenia. Yet, DTI results in 22q11DS are inconsistent. We used DTI to compare WM structure in 22q11DS individuals to healthy controls (HC) and explored WM differences in 22q11DS with (+) and without (-) psychosis spectrum symptoms. We examined 39 22q11DS individuals and 39 age, sex and race equivalent HC. DTI was performed at 3T using a 64-direction protocol. Fractional anisotropy (FA) was lower, while radial diffusivity was higher in 22q11DS within the cingulum bundle. Mean diffusivity was lower in the inferior longitudinal fasciculus, while axial diffusivity (AD) was lower in the cingulum bundle, forceps major, and several posterior to anterior fasciculi. 22q11DS+ had lower FA in the cingulum bundle and lower AD in the uncinate fasciculus compared to 22q11DS-. Overall, we found aberrant WM microstructure in individuals with 22q11DS compared to age and sex matched HC and exploratory analysis indicated subtle WM deficits associated with psychosis. The findings highlight the dysfunction of WM microstructure in 22q11DS and its potential importance in elucidating WM abnormalities in psychosis.
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Affiliation(s)
- David R Roalf
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - J Eric Schmitt
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Simon N Vandekar
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Theodore D Satterthwaite
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russell T Shinohara
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mark A Elliott
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Karthik Prabhakaran
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Donna M McDonald-McGinn
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Elaine H Zackai
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) at the University of Pennsylvania and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Beverly S Emanuel
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) at the University of Pennsylvania and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA; Department of Child and Adolescent Psychiatry, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
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Abstract
Traumatic brain injury is the number one cause of death and disability among the pediatric population in the USA. The heterogeneity of the pediatric population is reflected by both the normal cerebral maturation and the age differences in the causes of TBI, which generate unique age-related pathophysiology responses and recovery profiles. This review will address the normal changes in cerebral glucose metabolism throughout developmental phases and how TBI alters glucose metabolism. Evidence has shown that TBI disrupts the biochemical processing of glucose to energy. This brings to question, "What is the optimal substrate to manage a pediatric TBI patient?" Issues related to glycemic control and alternative substrate metabolism are addressed specifically in regard to pediatric TBI. Research into pediatric glucose metabolism after TBI is limited, and understanding these age-related differences within the pediatric population have great potential to improve support for the injured younger brain.
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Podcasy JL, Epperson CN. Considering sex and gender in Alzheimer disease and other dementias. DIALOGUES IN CLINICAL NEUROSCIENCE 2017. [PMID: 28179815 PMCID: PMC5286729 DOI: 10.31887/dcns.2016.18.4/cepperson] [Citation(s) in RCA: 371] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Suffering related to dementia is multifaceted because cognitive and physical functioning slowly deteriorates. Advanced age and sex, two of the most prominent risk factors for dementia, are not modifiable. Lifestyle factors such as smoking, excessive alcohol use, and poor diet modulate susceptibility to dementia in both males and females. The degree to which the resulting health conditions (eg, obesity, type 2 diabetes, and cardiovascular disease) impact dementia risk varies by sex. Depending on the subtype of dementia, the ratio of male to female prevalence differs. For example, females are at greater risk of developing Alzheimer disease dementia, whereas males are at greater risk of developing vascular dementia. This review examines sex and gender differences in the development of dementia with the goal of highlighting factors that require further investigation. Considering sex as a biological variable in dementia research promises to advance our understanding of the pathophysiology and treatment of these conditions.
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Affiliation(s)
- Jessica L Podcasy
- Penn PROMOTES Research on Sex and Gender in Health, University of Pennsylvania; Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - C Neill Epperson
- Penn PROMOTES Research on Sex and Gender in Health, University of Pennsylvania; Department of Psychiatry and Department of Obstetrics and Gynecology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Youssef AM, Ludwick A, Wilcox SL, Lebel A, Peng K, Colon E, Danehy A, Burstein R, Becerra L, Borsook D. In child and adult migraineurs the somatosensory cortex stands out … again: An arterial spin labeling investigation. Hum Brain Mapp 2017; 38:4078-4087. [PMID: 28560777 DOI: 10.1002/hbm.23649] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 04/10/2017] [Accepted: 05/03/2017] [Indexed: 11/06/2022] Open
Abstract
Over the past decade, human brain imaging investigations have reported altered regional cerebral blood flow (rCBF) in the interictal phase of migraine. However, there have been conflicting findings across different investigations, making the use of perfusion imaging in migraine pathophysiology more difficult to define. These inconsistencies may reflect technical constraints with traditional perfusion imaging methods such as single-photon emission computed tomography and positron emission tomography. Comparatively, pseudocontinuous arterial spin labeling (pCASL) is a recently developed magnetic resonance imaging technique that is noninvasive and offers superior spatial resolution and increased sensitivity. Using pCASL, we have previously shown increased rCBF within the primary somatosensory cortex (S1) in adult migraineurs, where blood flow was positively associated with migraine frequency. Whether these observations are present in pediatric and young adult populations remains unknown. This is an important question given the age-related variants of migraine prevalence, symptomology, and treatments. In this investigation, we used pCASL to quantitatively compare and contrast blood flow within S1 in pediatric and young adult migraineurs as compared with healthy controls. In migraine patients, we found significant resting rCBF increases within bilateral S1 as compared with healthy controls. Furthermore, within the right S1, we report a positive correlation between blood flow value with migraine attack frequency and cutaneous allodynia symptom profile. Our results reveal that pediatric and young adult migraineurs exhibit analogous rCBF changes with adult migraineurs, further supporting the possibility that these alterations within S1 are a consequence of repeated migraine attacks. Hum Brain Mapp 38:4078-4087, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Andrew M Youssef
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.,Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
| | - Allison Ludwick
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
| | - Sophie L Wilcox
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.,Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
| | - Alyssa Lebel
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.,Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
| | - Ke Peng
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.,Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
| | - Elisabeth Colon
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.,Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
| | - Amy Danehy
- Department of Radiology, Boston Children's Hospital, Boston, Massachusetts
| | - Rami Burstein
- Anesthesia and Critical Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Lino Becerra
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.,Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
| | - David Borsook
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative & Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.,Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts
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125
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Ellis LA, Ainslie PN, Armstrong VA, Morris LE, Simair RG, Sletten NR, Tallon CM, McManus AM. Anterior cerebral blood velocity and end-tidal CO 2 responses to exercise differ in children and adults. Am J Physiol Heart Circ Physiol 2017; 312:H1195-H1202. [PMID: 28389601 DOI: 10.1152/ajpheart.00034.2017] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 03/24/2017] [Accepted: 03/28/2017] [Indexed: 11/22/2022]
Abstract
Little is known about the response of the cerebrovasculature to acute exercise in children and how these responses might differ with adults. Therefore, we compared changes in middle cerebral artery blood velocity (MCAVmean), end-tidal Pco2 ([Formula: see text]), blood pressure, and minute ventilation (V̇e) in response to incremental exercise between children and adults. Thirteen children [age: 9 ± 1 (SD) yr] and thirteen sex-matched adults (age: 25 ± 4 yr) completed a maximal exercise test, during which MCAVmean, [Formula: see text], and V̇e were measured continuously. These variables were measured at rest, at exercise intensities specific to individual ventilatory thresholds, and at maximum. Although MCAVmean was higher at rest in children compared with adults, there were smaller increases in children (1-12%) compared with adults (12-25%) at all exercise intensities. There were alterations in [Formula: see text] with exercise intensity in an age-dependent manner [F(2.5,54.5) = 7.983, P < 0.001; η2 = 0.266], remaining stable in children with increasing exercise intensity (37-39 mmHg; P > 0.05) until hyperventilation-induced reductions following the respiratory compensation point. In adults, [Formula: see text] increased with exercise intensity (36-45 mmHg, P < 0.05) until the ventilatory threshold. From the ventilatory threshold to maximum, adults showed a greater hyperventilation-induced hypocapnia than children. These findings show that the relative increase in MCAVmean during exercise was attenuated in children compared with adults. There was also a weaker relationship between MCAVmean and [Formula: see text] during exercise in children, suggesting that cerebral perfusion may be regulated by different mechanisms during exercise in the child.NEW & NOTEWORTHY These findings provide the first direct evidence that exercise increases cerebral blood flow in children to a lesser extent than in adults. Changes in end-tidal CO2 parallel changes in cerebral perfusion in adults but not in children, suggesting age-dependent regulatory mechanisms of cerebral blood flow during exercise.
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Affiliation(s)
- Lindsay A Ellis
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Philip N Ainslie
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Victoria A Armstrong
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Laura E Morris
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Ryan G Simair
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Nathan R Sletten
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Christine M Tallon
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Ali M McManus
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
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126
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Bray S. Age-associated patterns in gray matter volume, cerebral perfusion and BOLD oscillations in children and adolescents. Hum Brain Mapp 2017; 38:2398-2407. [PMID: 28117505 DOI: 10.1002/hbm.23526] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Revised: 11/05/2016] [Accepted: 12/13/2016] [Indexed: 11/07/2022] Open
Abstract
Healthy brain development involves changes in brain structure and function that are believed to support cognitive maturation. However, understanding how structural changes such as grey matter thinning relate to functional changes is challenging. To gain insight into structure-function relationships in development, the present study took a data driven approach to define age-related patterns of variation in gray matter volume (GMV), cerebral blood flow (CBF) and blood-oxygen level dependent (BOLD) signal variation (fractional amplitude of low-frequency fluctuations; fALFF) in 59 healthy children aged 7-18 years, and examined relationships between modalities. Principal components analysis (PCA) was applied to each modality in parallel, and participant scores for the top components were assessed for age associations. We found that decompositions of CBF, GMV and fALFF all included components for which scores were significantly associated with age. The dominant patterns in GMV and CBF showed significant (GMV) or trend level (CBF) associations with age and a strong spatial overlap, driven by increased signal intensity in default mode network (DMN) regions. GMV, CBF and fALFF additionally showed components accounting for 3-5% of variability with significant age associations. However, these patterns were relatively spatially independent, with small-to-moderate overlap between modalities. Independence of age effects was further demonstrated by correlating individual subject maps between modalities: CBF was significantly less correlated with GMV and fALFF in older children relative to younger. These spatially independent effects of age suggest that the parallel decline observed in global GMV and CBF may not reflect spatially synchronized processes. Hum Brain Mapp 38:2398-2407, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Signe Bray
- Departments of Radiology and Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Ave NW, Calgary AB, T2N1N4, Canada.,Child and Adolescent Imaging Research (CAIR) Program, 2888 Shaganappi Trail NW, Calgary, AB, T3B 6A8, Canada.,Alberta Children's Hospital Research Institute (ACHRI), 2888 Shaganappi Trail NW, Calgary, AB, T3B 6A8, Canada
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127
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Increased cerebral blood flow among adolescents with bipolar disorder at rest is reduced following acute aerobic exercise. J Affect Disord 2017; 208:205-213. [PMID: 27792964 DOI: 10.1016/j.jad.2016.08.060] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Accepted: 08/24/2016] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Cerebral blood flow (CBF) is altered in mood disorders but has not been examined among adolescents with bipolar disorder (BD). Similarly, little is known about the acute neurophysiologic effects of aerobic exercise in BD. We therefore compared CBF between adolescents with and without BD at rest and acutely following a single exercise session. METHODS Thirty-one adolescents with BD and 20 age and sex-matched controls participated in this study. CBF magnetic resonance images (MRI) were acquired using arterial spin labeling at a baseline as well as 15 and 45min after a single 20-min session of recumbent cycling. Voxel-based CBF analyses compared groups at baseline and after exercise. Clinical, body mass index (BMI) and exercise-induced feelings inventory (EFI) data were examined for their influence on CBF findings. RESULTS Baseline CBF was increased in medial frontal and middle cingulate regions in BD compared to controls. Analysis of the acute CBF changes revealed pronounced exercise-related decreases in CBF in BD. Exercise-related feelings of exhaustion were associated with CBF changes in frontal but not parietal regions. DISCUSSION A single bout of moderate-intensity aerobic exercise reduced regional CBF to a greater extent in BD compared to controls; these time dependent CBF responses were associated with exercise-induced feelings of exhaustion.
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128
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Bale TL, Epperson CN. Sex as a Biological Variable: Who, What, When, Why, and How. Neuropsychopharmacology 2017; 42:386-396. [PMID: 27658485 PMCID: PMC5399243 DOI: 10.1038/npp.2016.215] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 08/22/2016] [Accepted: 09/16/2016] [Indexed: 12/22/2022]
Abstract
The inclusion of sex as a biological variable in research is absolutely essential for improving our understanding of disease mechanisms contributing to risk and resilience. Studies focusing on examining sex differences have demonstrated across many levels of analyses and stages of brain development and maturation that males and females can differ significantly. This review will discuss examples of animal models and clinical studies to provide guidance and reference for the inclusion of sex as an important biological variable relevant to a Neuropsychopharmacology audience.
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Affiliation(s)
- Tracy L Bale
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn PROMOTES Research on Sex and Gender in Health, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry,Perelman School of Medicine at the University of Pennsylvania Philadelphia, PA, USA
| | - C Neill Epperson
- Penn PROMOTES Research on Sex and Gender in Health, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry,Perelman School of Medicine at the University of Pennsylvania Philadelphia, PA, USA
- Department of Obstetrics and Gynecology, Perelman School of Medicine at the University of Pennsylvania Philadelphia, PA, USA
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129
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Ouyang M, Liu P, Jeon T, Chalak L, Heyne R, Rollins NK, Licht DJ, Detre JA, Roberts TPL, Lu H, Huang H. Heterogeneous increases of regional cerebral blood flow during preterm brain development: Preliminary assessment with pseudo-continuous arterial spin labeled perfusion MRI. Neuroimage 2016; 147:233-242. [PMID: 27988320 DOI: 10.1016/j.neuroimage.2016.12.034] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 12/10/2016] [Accepted: 12/13/2016] [Indexed: 01/11/2023] Open
Abstract
The human brain develops rapidly during 32-45 postmenstrual weeks (PMW), a critical stage characterized by dramatic increases of metabolic demand. The increasing metabolic demand can be inferred through measurements of regional cerebral blood flow (CBF), which might be coupled to regional metabolism in preterm brains. Arterial spin labeled (ASL) perfusion MRI is one of the few viable approaches for imaging regional CBF of preterm brains, but must be optimized for the extremely slow blood velocity unique in preterm brains. In this study, we explored the spatiotemporal CBF distribution in newborns scanned at the age of 32-45PMW using a pseudo-continuous ASL (pCASL) protocol adapted to slow blood flow in neonates. A total of 89 neonates were recruited. PCASL MRI was acquired from 34 normal newborns and phase contrast (PC) images from 19 newborns. Diffusion tensor images (DTI) were acquired from all 89 neonates for measuring cortical fractional anisotropy (FA), which characterizes cortical microstructure. Reproducible CBF measurements were obtained with the adjusted pCASL sequence. Global CBF measurement based on PC MRI was found to double its value in the 3rd trimester. Regional CBF increases were heterogeneous across the brain with a significantly higher rate of CBF increase in the frontal lobe and a lower rate of CBF increase in the occipital lobe. A significant correlation was found between frontal cortical CBF and cortical FA measurements (p<0.01). Increasing CBF values observed in the frontal lobe corresponded to lower FA values, suggesting that dendritic arborization and synaptic formation might be associated with an elevated local CBF. These results offer a preliminary account of heterogeneous regional CBF increases in a vital early developmental period and may shed the light on underlying metabolic support for cortical microstructural changes during the developmental period of 32-45PMW. Preterm effects and limitations of pCASL techniques in newborns need to be carefully considered for interpretation these results.
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Affiliation(s)
- Minhui Ouyang
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Biomedical Engineering Joint Graduate Program, University of Texas at Arlington-University of Texas Southwestern Medical Center, TX, United States
| | - Peiying Liu
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Department of Radiology, School of Medicine, Johns Hopkins University, MD, United States
| | - Tina Jeon
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Biomedical Engineering Joint Graduate Program, University of Texas at Arlington-University of Texas Southwestern Medical Center, TX, United States
| | - Lina Chalak
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Roy Heyne
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Nancy K Rollins
- Departemnt of Radiology, Children's Medical Center, Dallas, TX, United States
| | - Daniel J Licht
- Division of Neurology, Children's Hospital of Philadelphia, PA, United States
| | - John A Detre
- Department of Neurology, University of Pennsylvania, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Timothy P L Roberts
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Hanzhang Lu
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Department of Radiology, School of Medicine, Johns Hopkins University, MD, United States
| | - Hao Huang
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, United States.
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130
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Kaczkurkin AN, Moore TM, Ruparel K, Ciric R, Calkins ME, Shinohara RT, Elliott MA, Hopson R, Roalf DR, Vandekar SN, Gennatas ED, Wolf DH, Scott JC, Pine DS, Leibenluft E, Detre JA, Foa EB, Gur RE, Gur RC, Satterthwaite TD. Elevated Amygdala Perfusion Mediates Developmental Sex Differences in Trait Anxiety. Biol Psychiatry 2016; 80:775-785. [PMID: 27395327 PMCID: PMC5074881 DOI: 10.1016/j.biopsych.2016.04.021] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 04/15/2016] [Accepted: 04/18/2016] [Indexed: 01/04/2023]
Abstract
BACKGROUND Adolescence is a critical period for emotional maturation and is a time when clinically significant symptoms of anxiety and depression increase, particularly in females. However, few studies relate developmental differences in symptoms of anxiety and depression to brain development. Cerebral blood flow is one brain phenotype that is known to have marked developmental sex differences. METHODS We investigated whether developmental sex differences in cerebral blood flow mediated sex differences in anxiety and depression symptoms by capitalizing on a large sample of 875 youths who completed cross-sectional imaging as part of the Philadelphia Neurodevelopmental Cohort. Perfusion was quantified on a voxelwise basis using arterial spin-labeled magnetic resonance imaging at 3T. Perfusion images were related to trait and state anxiety using general additive models with penalized splines, while controlling for gray matter density on a voxelwise basis. Clusters found to be related to anxiety were evaluated for interactions with age, sex, and puberty. RESULTS Trait anxiety was associated with elevated perfusion in a network of regions including the amygdala, anterior insula, and fusiform cortex, even after accounting for prescan state anxiety. Notably, these relationships strengthened with age and the transition through puberty. Moreover, higher trait anxiety in postpubertal females was mediated by elevated perfusion of the left amygdala. CONCLUSIONS Taken together, these results demonstrate that differences in the evolution of cerebral perfusion during adolescence may be a critical element of the affective neurobiological characteristics underlying sex differences in anxiety and mood symptoms.
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Affiliation(s)
- Antonia N Kaczkurkin
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Tyler M Moore
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Kosha Ruparel
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Rastko Ciric
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Monica E Calkins
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Russell T Shinohara
- Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Mark A Elliott
- Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Ryan Hopson
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - David R Roalf
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Simon N Vandekar
- Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Efstathios D Gennatas
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Daniel H Wolf
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - J Cobb Scott
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Philadelphia Veterans Administration Medical Center, Philadelphia, Pennsylvania
| | - Daniel S Pine
- Emotion and Development Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Ellen Leibenluft
- Emotion and Development Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - John A Detre
- Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Neurology,University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Edna B Foa
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Raquel E Gur
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Ruben C Gur
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Emotion and Development Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Theodore D Satterthwaite
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
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131
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Rao YS, Pak TR. microRNAs and the adolescent brain: Filling the knowledge gap. Neurosci Biobehav Rev 2016; 70:313-322. [PMID: 27328787 PMCID: PMC5074866 DOI: 10.1016/j.neubiorev.2016.06.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 06/09/2016] [Accepted: 06/11/2016] [Indexed: 12/14/2022]
Abstract
Over two decades ago the discovery of microRNAs (miRNA) broadened our understanding of the diverse molecular pathways mediating post-transcriptional control over gene expression. These small non-coding RNAs dynamically fluctuate, temporally and spatially, throughout the lifespan of all organisms. The fundamental role that miRNAs have in shaping embryonic neurodevelopment provides strong evidence that adolescent brain remodeling could be rooted in the changing miRNA landscape of the cell. Few studies have directly measured miRNA gene expression changes in the brain across pubertal development, and even less is known about the functional impact of those miRNAs on the maturational processes that occur in the developing adolescent brain. This review summarizes miRNA biogenesis and function in the brain in the context of normal (i.e. not diseased) physiology. These landmark studies can guide predictions about the role of miRNAs in facilitating maturation of the adolescent brain. However, there are clear indicators that adolescence/puberty is a unique life stage, suggesting miRNA function during adolescence is distinct from those in any other previously described system.
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Affiliation(s)
- Yathindar S Rao
- Loyola University Chicago, Stritch School of Medicine, Department of Cell and Molecular Physiology, United States
| | - Toni R Pak
- Loyola University Chicago, Stritch School of Medicine, Department of Cell and Molecular Physiology, United States.
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132
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Gur RE, Gur RC. Sex differences in brain and behavior in adolescence: Findings from the Philadelphia Neurodevelopmental Cohort. Neurosci Biobehav Rev 2016; 70:159-170. [PMID: 27498084 PMCID: PMC5098398 DOI: 10.1016/j.neubiorev.2016.07.035] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Revised: 07/22/2016] [Accepted: 07/25/2016] [Indexed: 01/17/2023]
Abstract
Sex differences in brain and behavior were investigated across the lifespan. Parameters include neurobehavioral measures linkable to neuroanatomic and neurophysiologic indicators of brain structure and function. Sexual differentiation of behavior has been related to organizational factors during sensitive periods of development, with adolescence and puberty gaining increased attention. Adolescence is a critical developmental period where transition to adulthood is impacted by multiple factors that can enhance vulnerability to brain dysfunction. Here we highlight sex differences in neurobehavioral measures in adolescence that are linked to brain function. We summarize neuroimaging studies examining brain structure, connectivity and perfusion, underscoring the relationship to sex differences in behavioral measures and commenting on hormonal findings. We focus on relevant data from the Philadelphia Neurodevelopmental Cohort (PNC), a community-based sample of nearly 10,000 clinically and neurocognitively phenotyped youths age 8-21 of whom 1600 have received multimodal neuroimaging. These data indicate early and pervasive sexual differentiation in neurocognitive measures that is linkable to brain parameters. We conclude by describing possible clinical implications.
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Affiliation(s)
- Raquel E Gur
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA.
| | - Ruben C Gur
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA
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133
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Multimodal Brain and Behavior Indices of Psychosis Risk. NEBRASKA SYMPOSIUM ON MOTIVATION 2016. [PMID: 27627828 DOI: 10.1007/978-3-319-30596-7_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register]
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134
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Tarantini S, Giles CB, Wren JD, Ashpole NM, Valcarcel-Ares MN, Wei JY, Sonntag WE, Ungvari Z, Csiszar A. IGF-1 deficiency in a critical period early in life influences the vascular aging phenotype in mice by altering miRNA-mediated post-transcriptional gene regulation: implications for the developmental origins of health and disease hypothesis. AGE (DORDRECHT, NETHERLANDS) 2016; 38:239-258. [PMID: 27566308 PMCID: PMC5061677 DOI: 10.1007/s11357-016-9943-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Accepted: 07/29/2016] [Indexed: 06/06/2023]
Abstract
Epidemiological findings support the concept of Developmental Origins of Health and Disease, suggesting that early-life hormonal influences during a sensitive period of development have a fundamental impact on vascular health later in life. The endocrine changes that occur during development are highly conserved across mammalian species and include dramatic increases in circulating IGF-1 levels during adolescence. The present study was designed to characterize the effect of developmental IGF-1 deficiency on the vascular aging phenotype. To achieve that goal, early-onset endocrine IGF-1 deficiency was induced in mice by knockdown of IGF-1 in the liver using Cre-lox technology (Igf1 f/f mice crossed with mice expressing albumin-driven Cre recombinase). This model exhibits low-circulating IGF-1 levels during the peripubertal phase of development, which is critical for the biology of aging. Due to the emergence of miRNAs as important regulators of the vascular aging phenotype, the effect of early-life IGF-1 deficiency on miRNA expression profile in the aorta was examined in animals at 27 months of age. We found that developmental IGF-1 deficiency elicits persisting late-life changes in miRNA expression in the vasculature, which significantly differed from those in mice with adult-onset IGF-1 deficiency (TBG-Cre-AAV8-mediated knockdown of IGF-1 at 5 month of age in Igf1 f/f mice). Using a novel computational approach, we identified miRNA target genes that are co-expressed with IGF-1 and associate with aging and vascular pathophysiology. We found that among the predicted targets, the expression of multiple extracellular matrix-related genes, including collagen-encoding genes, were downregulated in mice with developmental IGF-1 deficiency. Collectively, IGF-1 deficiency during a critical period during early in life results in persistent changes in post-transcriptional miRNA-mediated control of genes critical targets for vascular health, which likely contribute to the deleterious late-life cardiovascular effects known to occur with developmental IGF-1 deficiency.
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Affiliation(s)
- Stefano Tarantini
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Cory B Giles
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- Oklahoma Medical Research Foundation, Arthritis & Clinical Immunology Research Program, Oklahoma City, OK, USA
- Department of Biochemistry and Molecular Biology, University of Oklahoma Health Science Center, Oklahoma City, OK, USA
| | - Jonathan D Wren
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- Oklahoma Medical Research Foundation, Arthritis & Clinical Immunology Research Program, Oklahoma City, OK, USA
- Department of Biochemistry and Molecular Biology, University of Oklahoma Health Science Center, Oklahoma City, OK, USA
| | - Nicole M Ashpole
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - M Noa Valcarcel-Ares
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Jeanne Y Wei
- Reynolds Institute on Aging and Department of Geriatrics, University of Arkansas for Medical Science, 4301 West Markham Street, No. 748, Little Rock, AR, 72205, USA
| | - William E Sonntag
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Zoltan Ungvari
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Anna Csiszar
- Reynolds Oklahoma Center on Aging, Donald W. Reynolds Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
- Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
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135
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Olm CA, Kandel BM, Avants BB, Detre JA, Gee JC, Grossman M, McMillan CT. Arterial spin labeling perfusion predicts longitudinal decline in semantic variant primary progressive aphasia. J Neurol 2016; 263:1927-38. [PMID: 27379517 DOI: 10.1007/s00415-016-8221-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 04/22/2016] [Accepted: 06/26/2016] [Indexed: 01/04/2023]
Abstract
The objective of the study was to evaluate the prognostic value of regional cerebral blood flow (CBF) measured by arterial spin labeled (ASL) perfusion MRI in patients with semantic variant primary progressive aphasia (svPPA). We acquired pseudo-continuous ASL (pCASL) MRI and whole-brain T1-weighted structural MRI in svPPA patients (N = 13) with cerebrospinal fluid biomarkers consistent with frontotemporal lobar degeneration pathology. Follow-up T1-weighted MRI was available in a subset of patients (N = 8). We performed whole-brain comparisons of partial volume-corrected CBF and cortical thickness between svPPA and controls, and compared baseline and follow-up cortical thickness in regions of significant hypoperfusion and hyperperfusion. Patients with svPPA showed partial volume-corrected hypoperfusion relative to controls in left temporal lobe and insula. svPPA patients also had typical cortical thinning in anterior temporal, insula, and inferior frontal regions at baseline. Volume-corrected hypoperfusion was seen in areas of significant cortical thinning such as the left temporal lobe and insula. Additional regions of hypoperfusion corresponded to areas without cortical thinning. We also observed regions of hyperperfusion, some associated with cortical thinning and others without cortical thinning, including right superior temporal, inferior parietal, and orbitofrontal cortices. Regions of hypoperfusion and hyperperfusion near cortical thinning at baseline had significant longitudinal thinning between baseline and follow-up scans, but perfusion changes in distant areas did not show progressive thinning. Our findings suggest ASL MRI may be sensitive to functional changes not readily apparent in structural MRI, and specific changes in perfusion may be prognostic markers of disease progression in a manner consistent with cell-to-cell spreading pathology.
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Affiliation(s)
- Christopher A Olm
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania Perelman School of Medicine, 3 West Gates, Philadelphia, PA, 19104, USA
| | - Benjamin M Kandel
- Department of Radiology, Penn Image Computing and Science Lab, Philadelphia, PA, 19104, USA
| | - Brian B Avants
- Department of Radiology, Penn Image Computing and Science Lab, Philadelphia, PA, 19104, USA
| | - John A Detre
- Departments of Neurology and Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - James C Gee
- Department of Radiology, Penn Image Computing and Science Lab, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania Perelman School of Medicine, 3 West Gates, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania Perelman School of Medicine, 3 West Gates, Philadelphia, PA, 19104, USA.
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136
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Browne RAV, Costa EC, Sales MM, Fonteles AI, Moraes JFVND, Barros JDF. Acute effect of vigorous aerobic exercise on the inhibitory control in adolescents. REVISTA PAULISTA DE PEDIATRIA (ENGLISH EDITION) 2016. [PMID: 26564328 PMCID: PMC4917265 DOI: 10.1016/j.rppede.2016.01.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Objective: To assess the acute effect of vigorous aerobic exercise on the inhibitory control in adolescents. Methods: Controlled, randomized study with crossover design. Twenty pubertal individuals underwent two 30-minute sessions: (1) aerobic exercise session performed between 65% and 75% of heart rate reserve, divided into 5 min of warm-up, 20 min at the target intensity and 5 min of cool down; and (2) control session watching a cartoon. Before and after the sessions, the computerized Stroop test-Testinpacs™ was applied to evaluate the inhibitory control. Reaction time (ms) and errors (n) were recorded. Results: The control session reaction time showed no significant difference. On the other hand, the reaction time of the exercise session decreased after the intervention (p<0.001). The number of errors made at the exercise session were lower than in the control session (p=0.011). Additionally, there was a positive association between reaction time (Δ) of the exercise session and age (r2=0.404, p=0.003). Conclusions: Vigorous aerobic exercise seems to promote acute improvement in the inhibitory control in adolescents. The effect of exercise on the inhibitory control performance was associated with age, showing that it was reduced at older age ranges.
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137
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Vandekar SN, Shinohara RT, Raznahan A, Hopson RD, Roalf DR, Ruparel K, Gur RC, Gur RE, Satterthwaite TD. Subject-level measurement of local cortical coupling. Neuroimage 2016; 133:88-97. [PMID: 26956908 PMCID: PMC4889557 DOI: 10.1016/j.neuroimage.2016.03.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 02/16/2016] [Accepted: 03/01/2016] [Indexed: 01/08/2023] Open
Abstract
The human cortex is highly folded to allow for a massive expansion of surface area. Notably, the thickness of the cortex strongly depends on cortical topology, with gyral cortex sometimes twice as thick as sulcal cortex. We recently demonstrated that global differences in thickness between gyral and sulcal cortex continue to evolve throughout adolescence. However, human cortical development is spatially heterogeneous, and global comparisons lack power to detect localized differences in development or psychopathology. Here we extend previous work by proposing a new measure - local cortical coupling - that is sensitive to differences in the localized topological relationship between cortical thickness and sulcal depth. After estimation, subject-level coupling maps can be analyzed using standard neuroimaging analysis tools. Capitalizing on a large cross-sectional sample (n=932) of youth imaged as part of the Philadelphia Neurodevelopmental Cohort, we demonstrate that local coupling is spatially heterogeneous and exhibits nonlinear development-related trajectories. Moreover, we uncover sex differences in coupling that indicate divergent patterns of cortical topology. Developmental changes and sex differences in coupling support its potential as a neuroimaging phenotype for investigating neuropsychiatric disorders that are increasingly conceptualized as disorders of brain development. R code to estimate subject-level coupling maps from any two cortical surfaces generated by FreeSurfer is made publicly available along with this manuscript.
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Affiliation(s)
- Simon N Vandekar
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Russell T Shinohara
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Armin Raznahan
- Child Psychiatry Branch, National Institutes of Mental Health, Bethesda, MD 20892, USA
| | - Ryan D Hopson
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA; Philadelphia Veterans Administration Medical Center, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
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138
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Browne RAV, Costa EC, Sales MM, Fonteles AI, Moraes JFVND, Barros JDF. Efeito agudo do exercício aeróbio vigoroso sobre o controle inibitório em adolescentes. REVISTA PAULISTA DE PEDIATRIA 2016; 34:154-61. [DOI: 10.1016/j.rpped.2015.08.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2015] [Revised: 08/04/2015] [Accepted: 08/09/2015] [Indexed: 02/07/2023]
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139
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Satterthwaite TD, Wolf DH, Calkins ME, Vandekar SN, Erus G, Ruparel K, Roalf DR, Linn KA, Elliott MA, Moore TM, Hakonarson H, Shinohara RT, Davatzikos C, Gur RC, Gur RE. Structural Brain Abnormalities in Youth With Psychosis Spectrum Symptoms. JAMA Psychiatry 2016; 73:515-24. [PMID: 26982085 PMCID: PMC5048443 DOI: 10.1001/jamapsychiatry.2015.3463] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
IMPORTANCE Structural brain abnormalities are prominent in psychotic disorders, including schizophrenia. However, it is unclear when aberrations emerge in the disease process and if such deficits are present in association with less severe psychosis spectrum (PS) symptoms in youth. OBJECTIVE To investigate the presence of structural brain abnormalities in youth with PS symptoms. DESIGN, SETTING, AND PARTICIPANTS The Philadelphia Neurodevelopmental Cohort is a prospectively accrued, community-based sample of 9498 youth who received a structured psychiatric evaluation. A subsample of 1601 individuals underwent neuroimaging, including structural magnetic resonance imaging, at an academic and children's hospital health care network between November 1, 2009, and November 30, 2011. MAIN OUTCOMES AND MEASURES Measures of brain volume derived from T1-weighted structural neuroimaging at 3 T. Analyses were conducted at global, regional, and voxelwise levels. Regional volumes were estimated with an advanced multiatlas regional segmentation procedure, and voxelwise volumetric analyses were conducted as well. Nonlinear developmental patterns were examined using penalized splines within a general additive model. Psychosis spectrum (PS) symptom severity was summarized using factor analysis and evaluated dimensionally. RESULTS Following exclusions due to comorbidity and image quality assurance, the final sample included 791 participants aged youth 8 to 22 years. Fifty percent (n = 393) were female. After structured interviews, 391 participants were identified as having PS features (PS group) and 400 participants were identified as typically developing comparison individuals without significant psychopathology (TD group). Compared with the TD group, the PS group had diminished whole-brain gray matter volume (P = 1.8 × 10-10) and expanded white matter volume (P = 2.8 × 10-11). Voxelwise analyses revealed significantly lower gray matter volume in the medial temporal lobe (maximum z score = 5.2 and cluster size of 1225 for the right and maximum z score = 4.5 and cluster size of 310 for the left) as well as in frontal, temporal, and parietal cortex. Volumetric reduction in the medial temporal lobe was correlated with PS symptom severity. CONCLUSIONS AND RELEVANCE Structural brain abnormalities that have been commonly reported in adults with psychosis are present early in life in youth with PS symptoms and are not due to medication effects. Future longitudinal studies could use the presence of such abnormalities in conjunction with clinical presentation, cognitive profile, and genomics to predict risk and aid in stratification to guide early interventions.
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Affiliation(s)
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Simon N Vandekar
- Department of Biostatistics and Clinical Epidemiology, University of Pennsylvania, Philadelphia
| | - Guray Erus
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Kosha Ruparel
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Kristin A Linn
- Department of Biostatistics and Clinical Epidemiology, University of Pennsylvania, Philadelphia
| | - Mark A Elliott
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Russell T Shinohara
- Department of Biostatistics and Clinical Epidemiology, University of Pennsylvania, Philadelphia
| | | | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia3Department of Radiology, University of Pennsylvania, Philadelphia
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia3Department of Radiology, University of Pennsylvania, Philadelphia
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140
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Jog MA, Yan L, Kilroy E, Krasileva K, Jann K, LeClair H, Elashoff D, Wang DJJ. Developmental trajectories of cerebral blood flow and oxidative metabolism at baseline and during working memory tasks. Neuroimage 2016; 134:587-596. [PMID: 27103136 DOI: 10.1016/j.neuroimage.2016.04.035] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Revised: 04/11/2016] [Accepted: 04/14/2016] [Indexed: 01/12/2023] Open
Abstract
The neurobiological interpretation of developmental BOLD fMRI findings remains difficult due to the confounding issues of potentially varied baseline of brain function and varied strength of neurovascular coupling across age groups. The central theme of the present research is to study the development of brain function and neuronal activity through in vivo assessments of cerebral blood flow (CBF), oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2) both at baseline and during the performance of a working memory task in a cohort of typically developing children aged 7 to 18years. Using a suite of 4 emerging MRI technologies including MR blood oximetry, phase-contrast MRI, pseudo-continuous arterial spin labeling (pCASL) perfusion MRI and concurrent CBF/BOLD fMRI, we found: 1) At baseline, both global CBF and CMRO2 showed an age related decline while global OEF was stable across the age group; 2) During the working memory task, neither BOLD nor CBF responses showed significant variations with age in the activated fronto-parietal brain regions. Nevertheless, detailed voxel-wise analyses revealed sub-regions within the activated fronto-parietal regions that show significant decline of fractional CMRO2 responses with age. These findings suggest that the brain may become more "energy efficient" with age during development.
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Affiliation(s)
- Mayank A Jog
- Laboratory of FMRI Technology (LOFT), Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Lirong Yan
- Laboratory of FMRI Technology (LOFT), Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Emily Kilroy
- Laboratory of FMRI Technology (LOFT), Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Kate Krasileva
- Laboratory of FMRI Technology (LOFT), Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Kay Jann
- Laboratory of FMRI Technology (LOFT), Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Holly LeClair
- Department of Medicine Statistics Core, UCLA, Los Angeles, CA, USA
| | - David Elashoff
- Department of Medicine Statistics Core, UCLA, Los Angeles, CA, USA
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA.
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141
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Juraska JM, Willing J. Pubertal onset as a critical transition for neural development and cognition. Brain Res 2016; 1654:87-94. [PMID: 27060769 DOI: 10.1016/j.brainres.2016.04.012] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 04/02/2016] [Accepted: 04/05/2016] [Indexed: 12/26/2022]
Abstract
Adolescence, broadly defined as the period between childhood and adulthood, is characterized by a variety of neuroanatomical and behavioral changes. In human adolescents, the cerebral cortex, especially the prefrontal cortex, decreases in size while the cortical white matter increases. Puberty appears to be an important factor in both of these changes. However, the white matter continues to grow beyond what is thought to be adolescence, while the gray matter of the cortex stabilizes by young adulthood. The size changes that are the manifestation of cortical reorganization during human adolescence are also seen in cellular reorganization in the rat cortex. The prefrontal cortex loses neurons, dendrites and synapses while myelination in the white matter continues to increase. All of this reorganization is more marked in female rats, and there is evidence both from pubertal timing and from removal of the ovaries that puberty plays an important role in initiating these changes in females. The maturation of behavioral functions of the prefrontal cortex, such as inhibitory control, occurs in both humans and rats across adolescence. There is also evidence for puberty as a major factor in decreasing perseveration in rats, but few studies have been done using pubertal status as an experimental variable, and the role of the gonadal steroids in modulating behavior throughout life makes clear effects more difficult to document. In all, puberty appears to be so essential to the changes occurring during adolescence that it should be recorded when possible, especially given the sex difference in pubertal timing. This article is part of a Special Issue entitled SI: Adolescent plasticity.
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Affiliation(s)
- Janice M Juraska
- Department of Psychology and Neuroscience Program University of Illinois, 603 E. Daniel St., Champaign, IL 61820, United States.
| | - Jari Willing
- Department of Psychology and Neuroscience Program University of Illinois, 603 E. Daniel St., Champaign, IL 61820, United States
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142
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Tunç B, Solmaz B, Parker D, Satterthwaite TD, Elliott MA, Calkins ME, Ruparel K, Gur RE, Gur RC, Verma R. Establishing a link between sex-related differences in the structural connectome and behaviour. Philos Trans R Soc Lond B Biol Sci 2016; 371:20150111. [PMID: 26833832 DOI: 10.1098/rstb.2015.0111] [Citation(s) in RCA: 108] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2015] [Indexed: 11/12/2022] Open
Abstract
Recent years have witnessed an increased attention to studies of sex differences, partly because such differences offer important considerations for personalized medicine. While the presence of sex differences in human behaviour is well documented, our knowledge of their anatomical foundations in the brain is still relatively limited. As a natural gateway to fathom the human mind and behaviour, studies concentrating on the human brain network constitute an important segment of the research effort to investigate sex differences. Using a large sample of healthy young individuals, each assessed with diffusion MRI and a computerized neurocognitive battery, we conducted a comprehensive set of experiments examining sex-related differences in the meso-scale structures of the human connectome and elucidated how these differences may relate to sex differences at the level of behaviour. Our results suggest that behavioural sex differences, which indicate complementarity of males and females, are accompanied by related differences in brain structure across development. When using subnetworks that are defined over functional and behavioural domains, we observed increased structural connectivity related to the motor, sensory and executive function subnetworks in males. In females, subnetworks associated with social motivation, attention and memory tasks had higher connectivity. Males showed higher modularity compared to females, with females having higher inter-modular connectivity. Applying multivariate analysis, we showed an increasing separation between males and females in the course of development, not only in behavioural patterns but also in brain structure. We also showed that these behavioural and structural patterns correlate with each other, establishing a reliable link between brain and behaviour.
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Affiliation(s)
- Birkan Tunç
- Center for Biomedical Image Computing and Analytics, Department of Radiology
| | - Berkan Solmaz
- Center for Biomedical Image Computing and Analytics, Department of Radiology
| | - Drew Parker
- Center for Biomedical Image Computing and Analytics, Department of Radiology
| | - Theodore D Satterthwaite
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mark A Elliott
- Center for Magnetic Resonance and Optical Imaging, Department of Radiology Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ragini Verma
- Center for Biomedical Image Computing and Analytics, Department of Radiology,
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143
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Mikita N, Mehta MA, Zelaya FO, Stringaris A. Using arterial spin labeling to examine mood states in youth. Brain Behav 2015; 5:e00339. [PMID: 26085964 PMCID: PMC4467773 DOI: 10.1002/brb3.339] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Revised: 03/16/2015] [Accepted: 03/17/2015] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION Little is known about the neural correlates of mood states and the specific physiological changes associated with their valence and duration, especially in young people. Arterial spin labeling (ASL) imaging is particularly well-suited to study sustained cerebral states in young people, due to its robustness to low-frequency drift, excellent interscan reliability, and noninvasiveness. Yet, it has so far been underutilized for understanding the neural mechanisms underlying mood states in youth. METHODS In this exploratory study, 21 healthy adolescents aged 16 to 18 took part in a mood induction experiment. Neutral, sad, and happy mood states were induced using film clips and explicit instructions. An ASL scan was obtained following presentation of each film clip. RESULTS Mood induction led to robust changes in self-reported mood ratings. Compared to neutral, sad mood was associated with increased regional cerebral blood flow (rCBF) in the left middle frontal gyrus and anterior prefrontal cortex, and decreased rCBF in the right middle frontal gyrus and the inferior parietal lobule. A decrease in self-reported mood from neutral to sad condition was associated with increased rCBF in the precuneus. Happy mood was associated with increased rCBF in medial frontal and cingulate gyri, the subgenual anterior cingulate cortex, and ventral striatum, and decreased rCBF in the inferior parietal lobule. The level of current self-reported depressive symptoms was negatively associated with rCBF change in the cerebellum and lingual gyrus following both sad and happy mood inductions. CONCLUSIONS Arterial spin labeling is sensitive to experimentally induced mood changes in healthy young people. The effects of happy mood on rCBF patterns were generally stronger than the effects of sad mood.
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Affiliation(s)
- Nina Mikita
- Department of Child and Adolescent Psychiatry, King's College London, Institute of Psychiatry, Psychology & NeuroscienceLondon, UK
| | - Mitul A Mehta
- Centre for Neuroimaging Sciences, King's College London, Institute of Psychiatry, Psychology & NeuroscienceLondon, UK
| | - Fernando O Zelaya
- Centre for Neuroimaging Sciences, King's College London, Institute of Psychiatry, Psychology & NeuroscienceLondon, UK
| | - Argyris Stringaris
- Department of Child and Adolescent Psychiatry, King's College London, Institute of Psychiatry, Psychology & NeuroscienceLondon, UK
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144
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Sex-specific alterations in behavioral and cognitive functions in a “three hit” animal model of schizophrenia. Behav Brain Res 2015; 284:85-93. [DOI: 10.1016/j.bbr.2015.02.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Revised: 02/04/2015] [Accepted: 02/06/2015] [Indexed: 02/08/2023]
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145
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Abstract
Over 90 years ago, anatomists noted the cortex is thinner in sulci than gyri, suggesting that development may occur on a fine scale driven by local topology. However, studies of brain development in youth have focused on describing how cortical thickness varies over large-scale functional and anatomic regions. How the relationship between thickness and local sulcal topology arises in development is still not well understood. Here, we investigated the spatial relationships between cortical thickness, folding, and underlying white matter organization to elucidate the influence of local topology on human brain development. Our approach included using both T1-weighted imaging and diffusion tensor imaging (DTI) in a cross-sectional sample of 932 youths ages 8-21 studied as part of the Philadelphia Neurodevelopmental Cohort. Principal components analysis revealed separable development-related processes of regionally specific nonlinear cortical thickening (from ages 8-14) and widespread linear cortical thinning that have dissociable relationships with cortical topology. Whereas cortical thinning was most prominent in the depths of the sulci, early cortical thickening was present on the gyri. Furthermore, decline in mean diffusivity calculated from DTI in underlying white matter was correlated with cortical thinning, suggesting that cortical thinning is spatially associated with white matter development. Spatial permutation tests were used to assess the significance of these relationships. Together, these data demonstrate that cortical remodeling during youth occurs on a local topological scale and is associated with changes in white matter beneath the cortical surface.
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146
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Satterthwaite TD, Connolly JJ, Ruparel K, Calkins ME, Jackson C, Elliott MA, Roalf DR, Hopson R, Prabhakaran K, Behr M, Qiu H, Mentch FD, Chiavacci R, Sleiman PMA, Gur RC, Hakonarson H, Gur RE. The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth. Neuroimage 2015; 124:1115-1119. [PMID: 25840117 DOI: 10.1016/j.neuroimage.2015.03.056] [Citation(s) in RCA: 201] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Revised: 03/16/2015] [Accepted: 03/16/2015] [Indexed: 01/31/2023] Open
Abstract
The Philadelphia Neurodevelopmental Cohort (PNC) is a large-scale study of child development that combines neuroimaging, diverse clinical and cognitive phenotypes, and genomics. Data from this rich resource is now publicly available through the Database of Genotypes and Phenotypes (dbGaP). Here we focus on the data from the PNC that is available through dbGaP and describe how users can access this data, which is evolving to be a significant resource for the broader neuroscience community for studies of normal and abnormal neurodevelopment.
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Affiliation(s)
- Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - John J Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Chad Jackson
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mark A Elliott
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ryan Hopson
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Karthik Prabhakaran
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Meckenzie Behr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Haijun Qiu
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Frank D Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Rosetta Chiavacci
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Patrick M A Sleiman
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Philadelphia Veterans Administration Medical Center, Philadelphia, PA 19104, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Chen H, Kelly C, Castellanos FX, He Y, Zuo XN, Reiss PT. Quantile rank maps: a new tool for understanding individual brain development. Neuroimage 2015; 111:454-63. [PMID: 25585020 DOI: 10.1016/j.neuroimage.2014.12.082] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Revised: 11/03/2014] [Accepted: 12/30/2014] [Indexed: 11/28/2022] Open
Abstract
We propose a novel method for neurodevelopmental brain mapping that displays how an individual's values for a quantity of interest compare with age-specific norms. By estimating smoothly age-varying distributions at a set of brain regions of interest, we derive age-dependent region-wise quantile ranks for a given individual, which can be presented in the form of a brain map. Such quantile rank maps could potentially be used for clinical screening. Bootstrap-based confidence intervals are proposed for the quantile rank estimates. We also propose a recalibrated Kolmogorov-Smirnov test for detecting group differences in the age-varying distribution. This test is shown to be more robust to model misspecification than a linear regression-based test. The proposed methods are applied to brain imaging data from the Nathan Kline Institute Rockland Sample and from the Autism Brain Imaging Data Exchange (ABIDE) sample.
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Affiliation(s)
- Huaihou Chen
- Department of Biostatistics, College of Public Health & Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Clare Kelly
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA
| | - F Xavier Castellanos
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Ye He
- University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Xi-Nian Zuo
- Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Philip T Reiss
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA; Department of Population Health, New York University School of Medicine, New York, NY, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
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