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Kurtz RM, Babatunde VD, Schmitt JE, Berger JR, Mohan S. Spinal Cord Sarcoidosis Occurring at Sites of Spondylotic Stenosis, Mimicking Spondylotic Myelopathy: A Case Series and Review of the Literature. AJNR Am J Neuroradiol 2023; 44:105-110. [PMID: 36521966 PMCID: PMC9835907 DOI: 10.3174/ajnr.a7724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/21/2022] [Indexed: 12/23/2022]
Abstract
Sarcoidosis is a multisystem granulomatous disease, with intramedullary spinal cord involvement seen in <1% of cases. This case series illustrates the clinical presentations and imaging findings of 5 patients with intramedullary spinal neurosarcoidosis occurring at sites of spondylotic spinal canal stenosis, which can be indistinguishable from spondylotic myelopathy with cord enhancement. Both entities are most common in middle-aged men and present with weeks to months of motor and sensory symptoms. On imaging, both can have focal spinal cord enhancement and longitudinally extensive signal abnormality centered at or just below the level of spinal canal stenosis. On the basis of our experience, we suggest that in patients with cord enhancement centered at or just below a site of spinal canal stenosis, consideration should be given to chest imaging and lymph node biopsy when applicable, to assess for the possibility of underlying sarcoidosis before surgical decompression.
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Affiliation(s)
- R M Kurtz
- From the Departments of Radiology (R.M.K., V.D.B., J.E.S., S.M.)
| | - V D Babatunde
- From the Departments of Radiology (R.M.K., V.D.B., J.E.S., S.M.)
| | - J E Schmitt
- From the Departments of Radiology (R.M.K., V.D.B., J.E.S., S.M.)
| | - J R Berger
- Neurology (J.R.B.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - S Mohan
- From the Departments of Radiology (R.M.K., V.D.B., J.E.S., S.M.)
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2
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Mattay RR, Miner L, Copelan AZ, Davtyan K, Schmitt JE, Church EW, Mamourian AC. Unruptured Arteriovenous Malformations in the Multidetector Computed Tomography Era: Frequency of Detection and Predictable Failures. J Clin Imaging Sci 2022; 12:5. [PMID: 35242451 PMCID: PMC8888185 DOI: 10.25259/jcis_200_2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/12/2022] [Indexed: 12/02/2022] Open
Abstract
Objectives: While hemorrhage arising from ruptured arteriovenous malformations (AVMs) is usually evident on multidetector non-contrast computed tomography (NCCT), unruptured AVMs can be below the limits of detection. We performed a retrospective review of NCCT of patients with a proven diagnosis of unruptured AVM to determine if advances in CT technology have made them more apparent and what features predict their detection. Material and Methods: Twenty-five NCCTs met inclusion criteria of having angiography or MR proven AVM without hemorrhage, prior surgery, or other CNS disease. Demographic variables, clinical symptoms at presentation, abnormal CT imaging findings, attenuation of the superior sagittal sinus (SSS), and Spetzler-Martin grade of each AVM were recorded. We examined the relationship between AVM detection and SSS attenuation through Kruskal–Wallis test. Exploratory serial logistic principal components analysis was performed including demographics, symptoms, and CT features in the multivariate model. Results: About 80% of the NCCTs showed an abnormality while 20% were normal. All those with an identifiable abnormality showed hyperdensity (80%). Logistic regression models indicate that clustered associations between several CT features, primarily calcifications, hyperdensity, and vascular prominence significantly predicted Spetzler-Martin grade (likelihood ratio 7.7, P = 0.006). SSS attenuation was significantly lower in subjects with occult AVMs when compared to those with CT abnormalities (median 47 vs. 55 HU, P < 0.04). Conclusion: Abnormal hyperdensity was evident in all detectable cases (80%) and multiple CT features were predictive of a higher Spetzler-Martin AVM grade. Moreover, SSS attenuation less than 50 HU was significantly correlated with a false-negative NCCT.
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Affiliation(s)
- Raghav R. Mattay
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Lane Miner
- Department of Radiology, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, United States
| | - Alexander Z. Copelan
- Department of Interventional Neuroradiology, Abbot Northwestern Hospital Neuroscience Institute, Minneapolis, Minnesota, United States
| | - Karapet Davtyan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - James E. Schmitt
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Ephraim W. Church
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, United States,
| | - Alexander C. Mamourian
- Department of Radiology, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, United States
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3
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Sønderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon‐Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa‐Arriola R, Bakker G, Bassett AS, Boomsma DI, Bülow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo‐Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Håberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga J, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin‐Brevet S, Martínez K, Mather KA, Mathias SR, McDonald‐McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Sánchez J, Moreau CA, Mühleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez‐Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas‐Gutiérrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vázquez‐Bourgon J, Vila‐Rodriguez F, Walters GB, Wen W, Westlye LT, Wittfeld K, Zackai EH, Stefánsson K, Jacquemont S, Thompson PM, Bearden CE, Andreassen OA. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Hum Brain Mapp 2022; 43:300-328. [PMID: 33615640 PMCID: PMC8675420 DOI: 10.1002/hbm.25354] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 01/07/2021] [Accepted: 01/13/2021] [Indexed: 01/21/2023] Open
Abstract
The Enhancing NeuroImaging Genetics through Meta-Analysis copy number variant (ENIGMA-CNV) and 22q11.2 Deletion Syndrome Working Groups (22q-ENIGMA WGs) were created to gain insight into the involvement of genetic factors in human brain development and related cognitive, psychiatric and behavioral manifestations. To that end, the ENIGMA-CNV WG has collated CNV and magnetic resonance imaging (MRI) data from ~49,000 individuals across 38 global research sites, yielding one of the largest studies to date on the effects of CNVs on brain structures in the general population. The 22q-ENIGMA WG includes 12 international research centers that assessed over 533 individuals with a confirmed 22q11.2 deletion syndrome, 40 with 22q11.2 duplications, and 333 typically developing controls, creating the largest-ever 22q11.2 CNV neuroimaging data set. In this review, we outline the ENIGMA infrastructure and procedures for multi-site analysis of CNVs and MRI data. So far, ENIGMA has identified effects of the 22q11.2, 16p11.2 distal, 15q11.2, and 1q21.1 distal CNVs on subcortical and cortical brain structures. Each CNV is associated with differences in cognitive, neurodevelopmental and neuropsychiatric traits, with characteristic patterns of brain structural abnormalities. Evidence of gene-dosage effects on distinct brain regions also emerged, providing further insight into genotype-phenotype relationships. Taken together, these results offer a more comprehensive picture of molecular mechanisms involved in typical and atypical brain development. This "genotype-first" approach also contributes to our understanding of the etiopathogenesis of brain disorders. Finally, we outline future directions to better understand effects of CNVs on brain structure and behavior.
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Affiliation(s)
- Ida E. Sønderby
- Department of Medical GeneticsOslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | - Christopher R. K. Ching
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Sophia I. Thomopoulos
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | - Daqiang Sun
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and PsychologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Department of Mental HealthVeterans Affairs Greater Los Angeles Healthcare System, Los AngelesCaliforniaUSA
| | - Julio E. Villalon‐Reina
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Ingrid Agartz
- NORMENT, Institute of Clinical PsychiatryUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Cecile and Oskar Vogt Institute for Brain Research, Medical FacultyUniversity Hospital Düsseldorf, Heinrich‐Heine‐University DüsseldorfDüsseldorfGermany
| | - Celso Arango
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, IsSGM, Universidad Complutense, School of MedicineMadridSpain
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | | | - Rosa Ayesa‐Arriola
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of PsychiatryMarqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute (IDIVAL)SantanderSpain
| | - Geor Bakker
- Department of Psychiatry and NeuropsychologyMaastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineVU University Medical CenterAmsterdamThe Netherlands
| | - Anne S. Bassett
- Clinical Genetics Research ProgramCentre for Addiction and Mental HealthTorontoOntarioCanada
- Dalglish Family 22q Clinic for Adults with 22q11.2 Deletion Syndrome, Toronto General HospitalUniversity Health NetworkTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Dorret I. Boomsma
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health (APH) Research InstituteAmsterdam UMCAmsterdamThe Netherlands
| | - Robin Bülow
- Institute of Diagnostic Radiology and NeuroradiologyUniversity Medicine GreifswaldGreifswaldGermany
| | - Nancy J. Butcher
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
- Child Health Evaluative SciencesThe Hospital for Sick Children Research InstituteTorontoOntarioCanada
| | - Vince D. Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State, Georgia Tech, EmoryAtlantaGeorgiaUSA
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Institute for Anatomy IMedical Faculty & University Hospital Düsseldorf, University of DüsseldorfDüsseldorfGermany
| | - Eva W. C. Chow
- Clinical Genetics Research ProgramCentre for Addiction and Mental HealthTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Institute of Medical Genetics and PathologyUniversity Hospital BaselBaselSwitzerland
- Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Simone Ciufolini
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Michael C. Craig
- Department of Forensic and Neurodevelopmental SciencesThe Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's CollegeLondonUnited Kingdom
| | | | - Adam C. Cunningham
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
| | - Anders M. Dale
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Department RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Paola Dazzan
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Greig I. de Zubicaray
- Faculty of HealthQueensland University of Technology (QUT)BrisbaneQueenslandAustralia
| | - Srdjan Djurovic
- Department of Medical GeneticsOslo University HospitalOsloNorway
- NORMENT, Department of Clinical ScienceUniversity of BergenBergenNorway
| | - Joanne L. Doherty
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
- Cardiff University Brain Research Imaging Centre (CUBRIC)CardiffUnited Kingdom
| | - Gary Donohoe
- Center for Neuroimaging, Genetics and GenomicsSchool of Psychology, NUI GalwayGalwayIreland
| | - Bogdan Draganski
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
- Neurology DepartmentMax‐Planck Institute for Human Brain and Cognitive SciencesLeipzigGermany
| | - Courtney A. Durdle
- MIND Institute and Department of Psychiatry and Behavioral SciencesUniversity of California DavisDavisCaliforniaUSA
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental NeurosciencesFaculty of Medicine, TU DresdenDresdenGermany
| | - Beverly S. Emanuel
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Thomas Espeseth
- Department of PsychologyUniversity of OsloOsloNorway
- Department of PsychologyBjørknes CollegeOsloNorway
| | - Simon E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics UnitCenter for Genomic Medicine, Massachusetts General HospitalBostonMassachusettsUSA
- Department of Psychiatry, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - David C. Glahn
- Tommy Fuss Center for Neuropsychiatric Disease ResearchBoston Children's HospitalBostonMassachusettsUSA
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
| | - Hans J. Grabe
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
| | - Raquel E. Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Youth Suicide Prevention, Intervention and Research CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Boris A. Gutman
- Medical Imaging Research Center, Department of Biomedical EngineeringIllinois Institute of TechnologyChicagoIllinoisUSA
| | - Jan Haavik
- Department of BiomedicineUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - Asta K. Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Department of Radiology and Nuclear MedicineSt. Olavs HospitalTrondheimNorway
| | - Laura A. Hansen
- Department of Psychiatry and Biobehavioral SciencesUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Ryota Hashimoto
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryTokyoJapan
- Department of PsychiatryOsaka University Graduate School of MedicineOsakaJapan
| | - Derrek P. Hibar
- Personalized Healthcare AnalyticsGenentech, Inc.South San FranciscoCaliforniaUSA
| | - Avram J. Holmes
- Department of PsychologyYale UniversityNew HavenConnecticutUSA
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Jouke‐Jan Hottenga
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | | | - Emma E. M. Knowles
- Department of Psychiatry, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBoston Children's HospitalBostonMassachusettsUSA
| | - Leila Kushan
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - David E. J. Linden
- School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
- Neuroscience and Mental Health Research InstituteCardiff UniversityCardiffUnited Kingdom
| | - Jingyu Liu
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State, Georgia Tech, EmoryAtlantaGeorgiaUSA
- Computer ScienceGeorgia State UniversityAtlantaGeorgiaUSA
| | - Astri J. Lundervold
- Department of Biological and Medical PsychologyUniversity of BergenBergenNorway
| | - Sandra Martin‐Brevet
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
| | - Kenia Martínez
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañon, IsSGM, Universidad Complutense, School of MedicineMadridSpain
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Facultad de PsicologíaUniversidad Autónoma de MadridMadridSpain
| | - Karen A. Mather
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
| | - Samuel R. Mathias
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBoston Children's HospitalBostonMassachusettsUSA
| | - Donna M. McDonald‐McGinn
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Division of Human GeneticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Division of Human Genetics and 22q and You CenterChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Allan F. McRae
- Institute for Molecular BioscienceThe University of QueenslandBrisbaneQueenslandAustralia
| | - Sarah E. Medland
- Psychiatric GeneticsQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Torgeir Moberget
- Department of Psychology, Faculty of Social SciencesUniversity of OsloOsloNorway
| | - Claudia Modenato
- LREN, Centre for Research in Neuroscience, Department of NeuroscienceUniversity Hospital Lausanne and University LausanneLausanneSwitzerland
- University of LausanneLausanneSwitzerland
| | - Jennifer Monereo Sánchez
- School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
- Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineMaastricht University Medical CenterMaastrichtThe Netherlands
| | - Clara A. Moreau
- Sainte Justine Hospital Research CenterUniversity of Montreal, MontrealQCCanada
| | - Thomas W. Mühleisen
- Institute of Neuroscience and Medicine (INM‐1)Research Centre JülichJülichGermany
- Cecile and Oskar Vogt Institute for Brain Research, Medical FacultyUniversity Hospital Düsseldorf, Heinrich‐Heine‐University DüsseldorfDüsseldorfGermany
- Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Zdenka Pausova
- Translational Medicine, The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Carlos Prieto
- Bioinformatics Service, NucleusUniversity of SalamancaSalamancaSpain
| | | | - Céline S. Reinbold
- Department of BiomedicineUniversity of BaselBaselSwitzerland
- Centre for Lifespan Changes in Brain and Cognition, Department of PsychologyUniversity of OsloOsloNorway
| | - Tiago Reis Marques
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences (LMS), Hammersmith HospitalImperial College LondonLondonUnited Kingdom
| | - Gabriela M. Repetto
- Center for Genetics and GenomicsFacultad de Medicina, Clinica Alemana Universidad del DesarrolloSantiagoChile
| | - Alexandre Reymond
- Center for Integrative GenomicsUniversity of LausanneLausanneSwitzerland
| | - David R. Roalf
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - James J. Rucker
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales HospitalSydneyNew South WalesAustralia
| | - James E. Schmitt
- Department of Radiology and PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Peter R. Schofield
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of Medical SciencesUNSW SydneySydneyNew South WalesAustralia
| | - Ana I. Silva
- Neuroscience and Mental Health Research InstituteCardiff UniversityCardiffUnited Kingdom
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | | | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Diana Tordesillas‐Gutiérrez
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Neuroimaging Unit, Technological FacilitiesValdecilla Biomedical Research Institute (IDIVAL), SantanderSpain
| | - Magnus O. Ulfarsson
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of Electrical and Computer EngineeringUniversity of Iceland, ReykjavikIceland
| | - Ariana Vajdi
- Semel Institute for Neuroscience and Human BehaviorUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Dennis van 't Ent
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Marianne B. M. van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUnited Kingdom
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUnited Kingdom
| | - Javier Vázquez‐Bourgon
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of PsychiatryMarqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute (IDIVAL)SantanderSpain
- School of MedicineUniversity of CantabriaSantanderSpain
| | - Fidel Vila‐Rodriguez
- Department of PsychiatryThe University of British ColumbiaVancouverBritish ColumbiaCanada
| | - G. Bragi Walters
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of MedicineUniversity of IcelandReykjavikIceland
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Lars T. Westlye
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- NORMENT, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
| | - Elaine H. Zackai
- Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Division of Human GeneticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Kári Stefánsson
- Population Genomics, deCODE genetics/AmgenReykjavikIceland
- Faculty of MedicineUniversity of IcelandReykjavikIceland
| | - Sebastien Jacquemont
- Sainte Justine Hospital Research CenterUniversity of Montreal, MontrealQCCanada
- Department of PediatricsUniversity of Montreal, MontrealQCCanada
| | - Paul M. Thompson
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and PsychologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Center for Neurobehavioral GeneticsUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
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4
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Feygin T, Goldman-Yassen AE, Licht DJ, Schmitt JE, Mian A, Vossough A, Castelo-Soccio L, Treat JR, Bhatia A, Pollock AN. Neuroaxial Infantile Hemangiomas: Imaging Manifestations and Association with Hemangioma Syndromes. AJNR Am J Neuroradiol 2021; 42:1520-1527. [PMID: 34244133 DOI: 10.3174/ajnr.a7204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 01/14/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE Infantile hemangiomas are common lesions in the pediatric population; in rare cases, an infantile hemangioma can be detected along the neural axis. The purposes of our study included determination of the incidence, location, and imaging appearance of neuroaxial infantile hemangiomas and their syndromic association. We also assessed additional features of cerebral and cardiovascular anomalies that may be associated with neuroaxial lesions. MATERIALS AND METHODS A retrospective cohort study was performed, searching the radiology database for patients with segmental infantile hemangiomas referred for assessment of possible hemangioma syndromes. We retrospectively reviewed brain and spine MR imaging studies, with particular attention paid to neuroaxial vascular lesions, as well as the relevant clinical data. Neuroaxial hemangioma imaging findings were described, and comparison of segmental cutaneous infantile hemangioma location with the imaging findings was performed in patients with confirmed hemangioma syndromes and in patients with isolated skin infantile hemangioma. RESULTS Ninety-five patients with segmental infantile hemangioma were included in the study, 42 of whom had a hemangioma syndrome; of those, 41 had posterior fossa brain malformations, hemangioma, arterial lesions, cardiac abnormalities, and eye abnormalities (PHACE) syndrome and 1 had diffuse neonatal hemangiomatosis. Neuroaxial involvement was detected in 20/42 patients (48%) with hemangioma syndromes and in no subjects with isolated segmental infantile hemangioma (P < .001). The most common intracranial hemangioma location was within the ipsilateral internal auditory canal (83%). CONCLUSIONS Many pediatric patients with segmental infantile hemangioma in the setting of hemangioma syndromes, especially those with PHACE, had neuroaxial hemangiomas. This finding may potentially lead to requiring additional clinical evaluation and management of these patients.
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Affiliation(s)
- T Feygin
- Division of Neuroradiology (T.F., A.V., A.N.P.), Department of Radiology, The C hildren's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - A E Goldman-Yassen
- Department of Radiology (A.E.G.-Y.), Children's Healthcare of Atlanta, Atlanta, Georgia
| | - D J Licht
- Department of Neurology (D.J.L.), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - J E Schmitt
- Division of Neuroradiology (J.E.S.), Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - A Mian
- Division of Neuroradiology (A.M.), Department of Radiology, Mallinckrodt Institute of Radiology, St. Louis, Missouri
| | - A Vossough
- Division of Neuroradiology (T.F., A.V., A.N.P.), Department of Radiology, The C hildren's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - L Castelo-Soccio
- Department of Dermatology (L.C.-S, J.R.T.), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - J R Treat
- Department of Dermatology (L.C.-S, J.R.T.), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - A Bhatia
- Department of Radiology (A.B.), The Children's Hospital of Pittsburg, Philadelphia, Pennsylvania
| | - A N Pollock
- Division of Neuroradiology (T.F., A.V., A.N.P.), Department of Radiology, The C hildren's Hospital of Philadelphia, Philadelphia, Pennsylvania
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5
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Shah C, Srinivasan D, Erus G, Schmitt JE, Agarwal A, Cho ME, Lerner AJ, Haley WE, Kurella Tamura M, Davatzikos C, Bryan RN, Fan Y, Nasrallah IM. Changes in brain functional connectivity and cognition related to white matter lesion burden in hypertensive patients from SPRINT. Neuroradiology 2021; 63:913-924. [PMID: 33404789 PMCID: PMC8286444 DOI: 10.1007/s00234-020-02614-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 11/25/2020] [Indexed: 12/17/2022]
Abstract
PURPOSE Hypertension is a risk factor for cognitive impairment; however, the mechanisms leading to cognitive changes remain unclear. In this cross-sectional study, we evaluate the impact of white matter lesion (WML) burden on brain functional connectivity (FC) and cognition in a large cohort of hypertensive patients from the Systolic Blood Pressure Intervention Trial (SPRINT) at baseline. METHODS Functional networks were identified from baseline resting state functional MRI scans of 660 SPRINT participants using independent component analysis. WML volumes were calculated from structural MRI. Correlation analyses were carried out between mean FC of each functional network and global WML as well as WML within atlas-defined white matter regions. For networks of interest, voxel-wise-adjusted correlation analyses between FC and regional WML volume were performed. Multiple variable linear regression models were built for cognitive test performance as a function of network FC, followed by mediation analysis. RESULTS Mean FC of the default mode network (DMN) was negatively correlated with global WML volume, and regional WML volume within the precuneus. Voxel-wise correlation analyses revealed that regional WML was negatively correlated with FC of the DMN's left lateral temporal region. FC in this region of the DMN was positively correlated to performance on the Montreal Cognitive Assessment and demonstrated significant mediation effects. Additional networks also demonstrated global and regional WML correlations; however, they did not demonstrate an association with cognition. CONCLUSION In hypertensive patients, greater WML volume is associated with lower FC of the DMN, which in turn is related to poorer cognitive test performance. TRIAL REGISTRATION NCT01206062.
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Affiliation(s)
- Chintan Shah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Imaging Institute, Cleveland Clinic, 9500 Euclid Ave, Mail code L10-428, Cleveland, OH, 44195, USA.
| | - Dhivya Srinivasan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, PA, Philadelphia, USA
| | - Guray Erus
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, PA, Philadelphia, USA
| | - James E Schmitt
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Adhish Agarwal
- Division of Nephrology and Hypertension, University of Utah, Salt Lake City, UT, USA
| | - Monique E Cho
- Division of Nephrology and Hypertension, University of Utah, Salt Lake City, UT, USA
| | - Alan J Lerner
- University Hospitals Cleveland Medical Center, Department of Neurology, Case Western Reserve University, Cleveland, OH, USA
| | - William E Haley
- Department of Nephrology and Hypertension, Mayo Clinic, Jacksonville, FL, USA
| | - Manjula Kurella Tamura
- Division of Nephrology, Stanford University, Palo Alto, CA, USA
- VA Palo Alto Geriatric Research and Education Clinical Center, Palo Alto, CA, USA
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, PA, Philadelphia, USA
| | - Robert N Bryan
- Dell Medical School, Department of Diagnostic Medicine, University of Texas at Austin, Austin, TX, USA
| | - Yong Fan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, PA, Philadelphia, USA
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, PA, Philadelphia, USA
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6
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Masur JH, Schmitt JE, Lalevic D, Cook TS, Bagley LJ, Mohan S, Nayate AP. Am I Ready to Be an Independent Neuroradiologist? Objective Trends in Neuroradiology Fellows' Performance during the Fellowship Year. AJNR Am J Neuroradiol 2021; 42:815-823. [PMID: 33664112 DOI: 10.3174/ajnr.a7030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 11/19/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Aside from basic Accreditation Council for Graduate Medical Education guidelines, few metrics are in place to monitor fellows' progress. The purpose of this study was to determine objective trends in neuroradiology fellowship training on-call performance during an academic year. MATERIALS AND METHODS We retrospectively reviewed the number of cross-sectional neuroimaging studies dictated with complete reports by neuroradiology fellows during independent call. Monthly trends in total call cases, report turnaround times, relationships between volume and report turnaround times, and words addended to preliminary reports by attending neuroradiologists were evaluated with regression models. Monthly variation in frequencies of call-discrepancy macros were assessed via χ2 tests. Changes in frequencies of specific macro use between fellowship semesters were assessed via serial 2-sample tests of proportions. RESULTS From 2012 to 2017, for 29 fellows, monthly median report turnaround times significantly decreased during the academic year: July (first month) = 79 minutes (95% CI, 71-86 minutes) and June (12th month) = 55 minutes (95% CI, 52-60 minutes; P value = .023). Monthly report turnaround times were inversely correlated with total volumes for CT (r = -0.70, F = 9.639, P value = .011) but not MR imaging. Words addended to preliminary reports, a surrogate measurement of report clarity, slightly improved and discrepancy rates decreased during the last 6 months of fellowship. A nadir for report turnaround times, discrepancy errors, and words addended to reports was seen in December and January. CONCLUSIONS Progress through fellowship correlates with a decline in report turnaround times and discrepancy rates for cross-sectional neuroimaging call studies and slight improvement in indirect quantitative measurement of report clarity. These metrics can be tracked throughout the academic year, and the midyear would be a logical time point for programs to assess objective progress of fellows and address any deficiencies.
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Affiliation(s)
- J H Masur
- From the Department of Radiology (J.H.M., J.E.S., D.L., T.S.C., L.J.B., S.M.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - J E Schmitt
- From the Department of Radiology (J.H.M., J.E.S., D.L., T.S.C., L.J.B., S.M.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - D Lalevic
- From the Department of Radiology (J.H.M., J.E.S., D.L., T.S.C., L.J.B., S.M.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - T S Cook
- From the Department of Radiology (J.H.M., J.E.S., D.L., T.S.C., L.J.B., S.M.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - L J Bagley
- From the Department of Radiology (J.H.M., J.E.S., D.L., T.S.C., L.J.B., S.M.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - S Mohan
- From the Department of Radiology (J.H.M., J.E.S., D.L., T.S.C., L.J.B., S.M.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - A P Nayate
- Department of Radiology (A.P.N.), University Hospitals Cleveland Medical Center, Cleveland, Ohio
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7
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Marinari LA, Danny MA, Simpson SA, Schmitt JE, Miller WT. Lower Respiratory Tract Infection with Human Metapneumovirus: Chest CT Imaging Features and Comparison with Other Viruses. Eur J Radiol 2020; 128:108988. [PMID: 32388320 DOI: 10.1016/j.ejrad.2020.108988] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 02/28/2020] [Accepted: 03/29/2020] [Indexed: 11/30/2022]
Abstract
PURPOSE Human metapneumovirus has been increasingly identified as a cause of lower respiratory tract infection in adults worldwide. The CT imaging features of human metapneumovirus in adults have not been characterized. The purpose of this paper is to determine the imaging features of human metapneumovirus and to compare them with features of other viruses. METHODS Two clinicians retrospectively reviewed the medical records of 104 adults with lower respiratory tract infection due to human metapneumovirus at four hospitals in the northeast USA over 32 months. CT images were evaluated by two chest radiologists for airspace consolidation, bronchiectasis, bronchial wall thickening, ground-glass opacities, pleural effusion and tree-in-bud opacities and the dominant imaging pattern. Results for human metapneumovirus were compared with results previously reported for other viruses. RESULTS Human metapneumovirus predominantly caused an airway-centric pattern (71-81/104, 68-77%) of infection characterized by bronchial wall thickening, tree-in-bud opacities, peri-bronchial consolidation and/or peri-bronchial ground-glass opacities. The airway-centric pattern has been previously reported with other paramyxoviridae (parainfluenza virus and respiratory syncytial virus). However, human metapneumovirus was significantly more likely (p = 0.03-0.001) to cause bronchopneumonia (46-55%) than parainfluenza virus (17%) or respiratory syncytial virus (21%). Follow-up CT in 41 (39%) patients with hMPV revealed resolution of findings in 38/41 (91%). CONCLUSION The paramyxoviridae, including human metapneumovirus, are known to have a propensity to infect ciliated respiratory cells and we have demonstrated this leads to a propensity to cause bronchitis, bronchiolitis and bronchopneumonia on CT scans. Of these, human metapneumovirus is most likely to cause bronchopneumonia. Healthcare providers should consider human metapneumovirus as a cause of pneumonia on chest CT.
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Affiliation(s)
| | - Madeline A Danny
- Department of Health Services, Bryn Mawr College, Bryn Mawr, PA 19010, USA.
| | - Scott A Simpson
- The Perlelman School of Medicine at the University of Pennsylvania, Department of Radiology, University of Pennsylvania, Silverstein 1, 3400 Spruce St., Philadelphia, PA, 19104, USA.
| | - James E Schmitt
- The Perlelman School of Medicine at the University of Pennsylvania, Department of Radiology, University of Pennsylvania, Silverstein 1, 3400 Spruce St., Philadelphia, PA, 19104, USA.
| | - Wallace T Miller
- The Perlelman School of Medicine at the University of Pennsylvania, Department of Radiology, Silverstein 1, 3400 Spruce St., Philadelphia, PA, 19104, USA.
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8
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Nabavizadeh SA, Sundararajan SH, Schmitt JE, Loevner LA. Reversible Dilation of the Superior Ophthalmic Vein in Intubated Patients. AJNR Am J Neuroradiol 2018; 39:1505-1508. [PMID: 29853520 DOI: 10.3174/ajnr.a5699] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Accepted: 04/13/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Superior ophthalmic vein enlargement has typically been associated with increased intracranial or orbital pressure. This study evaluates the incidence of superior ophthalmic vein enlargement in intubated patients without pre-existing intracranial or intraorbital pathologies. MATERIALS AND METHODS Two cohorts (patients with trauma and epilepsy patients undergoing stereotactic intracranial lead placement) who underwent CT while intubated and shortly following extubation and a cohort of 30 outpatients with a history of headache and normal head CT findings (healthy controls) were included. The superior ophthalmic vein diameter was measured on all scans. RESULTS Seventy patients intubated for trauma and 45 patients with intraoperative CT were included (n = 115). While intubated, 66% of the total sample had at least unilateral superior ophthalmic vein dilation of >2.5 mm and 48% had bilateral dilation. Fifty-seven percent of patients with trauma and 84% of intraoperative patients with dilated superior ophthalmic veins showed reversal of mean superior ophthalmic vein dilation to <2.5 mm on postextubation CT. The mean superior ophthalmic vein diameter decreased an average of 1.2 mm following extubation. Changes in superior ophthalmic vein diameter between intubated and extubated states were statistically significant (P < .001). Differences between the control group and the extubated subjects were not statistically significant (P = .21). CONCLUSIONS Bilateral dilation of the superior ophthalmic vein is common in intubated patients and usually reverses following extubation. In the appropriate clinical setting, this knowledge will prevent misinterpretation of prominent superior ophthalmic veins as automatically indicative of an underlying pathology.
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Affiliation(s)
- S A Nabavizadeh
- From the Department of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
| | - S H Sundararajan
- From the Department of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - J E Schmitt
- From the Department of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - L A Loevner
- From the Department of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
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9
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Nayate AP, Nasrallah IM, Schmitt JE, Mohan S. Using Body Mass Index to Predict Needle Length in Fluoroscopy-Guided Lumbar Punctures. AJNR Am J Neuroradiol 2016; 37:572-8. [PMID: 26585261 PMCID: PMC7960139 DOI: 10.3174/ajnr.a4579] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 08/14/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Predicting the appropriate needle length to use in oblique interlaminar-approach fluoroscopy-guided lumbar punctures in patients with a large body mass index is difficult. Using the wrong needle length can lead to an increased radiation dose and patient discomfort. We hypothesized that body mass index could help determine the appropriate needle length to use in patients. MATERIALS AND METHODS We randomly selected patients who underwent oblique interlaminar-approach fluoroscopy-guided lumbar punctures and had cross-sectional imaging of the lumbar spine within 1 year of imaging (n = 50). The distance from the skin to the midlumbar spinal canal (skin-canal distance) at the level of the lumbar puncture was measured by using an oblique angle of 8.6°, which is an average of angles most often used to perform the procedure. A formula was devised using the skin-canal distance and body mass index to predict the appropriate needle length, subsequently confirmed in 45 patients. RESULTS The body mass index and skin-canal distance were significantly higher (P < .001) in patients who underwent fluoroscopy-guided lumbar puncture with 5- or 7-inch needles (n = 22) than in patients requiring 3.5-inch needles (n = 28). Using linear regression, we determined the formula to predict the needle length as Skin-Canal Distance (inches) = 0.077 × Body Mass Index + 0.88. We found a strong correlation (P < .001) between the predicted and actual skin canal distance in 45 patients, and our formula better predicted the skin-canal distance than others. CONCLUSIONS We designed a formula that uses body mass index to predict the appropriate needle length in oblique interlaminar-approach fluoroscopy-guided lumbar punctures and validated it by demonstrating a strong correlation between the predicted and actual skin-canal distance.
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Affiliation(s)
- A P Nayate
- From the Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - I M Nasrallah
- From the Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - J E Schmitt
- From the Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - S Mohan
- From the Department of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
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10
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Hightower JS, Amadi C, Den E, Schmitt JE, Shah RM, Miller WT. Back to the future: sagittal CT in the evaluation of COPD. Eur Radiol 2015; 26:2730-9. [PMID: 26560725 DOI: 10.1007/s00330-015-4094-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Revised: 09/04/2015] [Accepted: 10/27/2015] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To identify features of obstructive airway disease on sagittal reconstruction, compare the accuracy of findings to traditional imaging characteristics of COPD, and determine the fraction of additional cases identified using new characteristics. METHODS The study was approved by the centre's Institutional Review Board and is HIPAA compliant. Two hundred sixteen patients with HRCT and spirometry within a 3-month window were included. Four radiologists evaluated each HRCT for traditional characteristics of COPD and new quantitative and qualitative features of obstruction on axial and sagittal reconstructions. Imaging characteristics were assessed for correlation with the spirometric diagnosis of obstructive airway disease. RESULTS Quantitative and qualitative findings on sagittal reconstruction are highly specific for COPD (specificity >90 %). Features of hyperinflation on sagittal reconstruction are more accurate predictors of obstruction than traditional axial measures, with greater interobserver reliability (hyperinflation left hemidiaphragm: accuracy: 70.08 % ± 2.49 %; kappa: 0.511 versus traditional measures: accuracy: 62.00 % ± 5.38 %; kappa: 0.407). Sagittal reconstruction identified 27-70 % more patients with COPD than traditional axial findings (p < 0.05). CONCLUSIONS Analysis of sagittal reconstruction enables greater accuracy and specificity in the diagnosis of obstructive airway disease compared to traditional measures on axial imaging. Use of sagittal reconstructions can help identify up to 70 % more patients with COPD than traditional imaging findings alone. KEY POINTS • HRCT sagittal reconstruction is useful in the evaluation of obstructive lung disease. • Findings on sagittal reconstructions allow physicians to more accurately diagnose COPD. • Routine use of sagittal reconstructions increases the sensitivity for diagnosing COPD.
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Affiliation(s)
- Jessica S Hightower
- Perelman School of Medicine, The University of Pennsylvania, 295 John Morgan Building, 3620 Hamilton Walk, Philadelphia, PA, 19104, USA
| | - Chiemezie Amadi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Philadelphia, PA, 19104, USA
| | - Elana Den
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Philadelphia, PA, 19104, USA
| | - James E Schmitt
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Philadelphia, PA, 19104, USA
| | - Rosita M Shah
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Philadelphia, PA, 19104, USA
| | - Wallace T Miller
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Philadelphia, PA, 19104, USA.
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11
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Nabavizadeh SA, Mamourian A, Schmitt JE, Cloran F, Vossough A, Pukenas B, Loevner LA, Mohan S. Utility of fat-suppressed sequences in differentiation of aggressive vs typical asymptomatic haemangioma of the spine. Br J Radiol 2015; 89:20150557. [PMID: 26511277 DOI: 10.1259/bjr.20150557] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE While haemangiomas are common benign vascular lesions involving the spine, some behave in an aggressive fashion. We investigated the utility of fat-suppressed sequences to differentiate between benign and aggressive vertebral haemangiomas. METHODS Patients with the diagnosis of aggressive vertebral haemangioma and available short tau inversion-recovery or T2 fat saturation sequence were included in the study. 11 patients with typical asymptomatic vertebral body haemangiomas were selected as the control group. Region of interest signal intensity (SI) analysis of the entire haemangioma as well as the portion of each haemangioma with highest signal on fat-saturation sequences was performed and normalized to a reference normal vertebral body. RESULTS A total of 8 patients with aggressive vertebral haemangioma and 11 patients with asymptomatic typical vertebral haemangioma were included. There was a significant difference between total normalized mean SI ratio (3.14 vs 1.48, p = 0.0002), total normalized maximum SI ratio (5.72 vs 2.55, p = 0.0003), brightest normalized mean SI ratio (4.28 vs 1.72, p < 0.0001) and brightest normalized maximum SI ratio (5.25 vs 2.45, p = 0.0003). Multiple measures were able to discriminate between groups with high sensitivity (>88%) and specificity (>82%). CONCLUSION In addition to the conventional imaging features such as vertebral expansion and presence of extravertebral component, quantitative evaluation of fat-suppression sequences is also another imaging feature that can differentiate aggressive haemangioma and typical asymptomatic haemangioma. ADVANCES IN KNOWLEDGE The use of quantitative fat-suppressed MRI in vertebral haemangiomas is demonstrated. Quantitative fat-suppressed MRI can have a role in confirming the diagnosis of aggressive haemangiomas. In addition, this application can be further investigated in future studies to predict aggressiveness of vertebral haemangiomas in early stages.
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Affiliation(s)
- Seyed Ali Nabavizadeh
- 1 Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Alexander Mamourian
- 1 Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - James E Schmitt
- 1 Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Francis Cloran
- 2 Department of Radiology, Wright Patterson Medical Center, Dayton, OH, USA
| | - Arastoo Vossough
- 3 Department of Radiology, Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Bryan Pukenas
- 1 Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Laurie A Loevner
- 1 Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- 1 Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
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12
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Harsha AK, Schmitt JE, Stavropoulos SW. Match day: online search trends reflect growing interest in IR training. J Vasc Interv Radiol 2015; 26:95-100. [PMID: 25541447 DOI: 10.1016/j.jvir.2014.09.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 09/09/2014] [Accepted: 09/16/2014] [Indexed: 11/28/2022] Open
Abstract
Google Trends was used to characterize the relationship between the interventional radiology (IR) applicant pool and related Internet queries for "IR fellowship" from July 2006 to July 2013. Results were compared with National Residency Match Panel data by regression analysis and one-way analysis of variance. Search traffic for IR fellowship demonstrated a statistically significant linear annual increase (R(2) = 0.87; P = .0013). Total IR applicants increased by 184% (R(2) = 0.98; P = .0216). Search traffic was predictive of applicants for each match year (R(2) = 0.92; P = .0004) and programs filled (R(2) = 0.93; P = .0003). Internet queries mirror trainee professional interests, with significant increases in search traffic related to IR fellowship and strong correlation with growth in applicants.
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Affiliation(s)
- Asheesh K Harsha
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA 19104..
| | - James E Schmitt
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA 19104
| | - S William Stavropoulos
- Department of Interventional Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA 19104
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13
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Nayate AP, Dubroff JG, Schmitt JE, Nasrallah I, Kishore R, Mankoff D, Pryma DA. Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation. AJNR Am J Neuroradiol 2015; 36:1237-44. [PMID: 25767185 DOI: 10.3174/ajnr.a4281] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2014] [Accepted: 01/12/2015] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND PURPOSE Fluorine-18 florbetapir is a recently developed β-amyloid plaque positron-emission tomography imaging agent with high sensitivity, specificity, and accuracy in the detection of moderate-to-frequent cerebral cortical β-amyloid plaque. However, the FDA has expressed concerns about the consistency of interpretation of [(18)F] florbetapir PET brain scans. We hypothesized that incorporating automated cerebral-to-whole-cerebellar standardized uptake value ratios into [(18)F] florbetapir PET brain scan interpretation would reduce this interreader variability. MATERIALS AND METHODS This randomized, blinded-reader study used previously acquired [(18)F] florbetapir scans from 30 anonymized patients who were enrolled in the Alzheimer's Disease Neuroimaging Initiative 2. In 4 separate, blinded-reading sessions, 5 readers classified 30 cases as positive or negative for significant β-amyloid deposition either qualitatively alone or qualitatively with additional adjunct software that determined standardized uptake value ratios. A κ coefficient was used to calculate interreader agreement with and without the use of standardized uptake value ratios. RESULTS There was complete interreader agreement on 20/30 cases of [(18)F] florbetapir PET brain scans by using qualitative interpretation and on 27/30 scans interpreted with the adjunct use of standardized uptake value ratios. The κ coefficient for the studies read with standardized uptake value ratios (0.92) was significantly higher compared with the qualitatively read studies (0.69, P = .006). CONCLUSIONS Use of standardized uptake value ratios improves interreader agreement in the interpretation of [(18)F] florbetapir images.
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Affiliation(s)
- A P Nayate
- From the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - J G Dubroff
- From the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - J E Schmitt
- From the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - I Nasrallah
- From the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - R Kishore
- From the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - D Mankoff
- From the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - D A Pryma
- From the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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Schmitt JE, Yi JJ, Roalf DR, Loevner LA, Ruparel K, Whinna D, Souders MC, McDonald-McGinn DM, Yodh E, Vandekar S, Zackai EH, Gur RC, Emanuel BS, Gur RE. Incidental radiologic findings in the 22q11.2 deletion syndrome. AJNR Am J Neuroradiol 2014; 35:2186-91. [PMID: 24948496 DOI: 10.3174/ajnr.a4003] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND PURPOSE The 22q11.2 deletion syndrome is a common genetic microdeletion syndrome that results in cognitive delays and an increased risk of several psychiatric disorders, particularly schizophrenia. The current study investigates the prevalence of incidental neuroradiologic findings within this population and their relationships with psychiatric conditions. MATERIALS AND METHODS Brain MR imaging from 58 individuals with 22q11.2 deletion syndrome was reviewed by board-certified radiologists by using standard clinical procedures. Intracranial incidental findings were classified into 8 categories and compared with a large typically developing cohort. RESULTS The rate of incidental findings was significantly higher (P < .0001) in 22q11.2 deletion syndrome compared with typically developing individuals, driven by a high prevalence of cavum septum pellucidum (19.0%) and white matter abnormalities (10.3%). Both of these findings were associated with psychosis in 22q11.2 deletion syndrome. CONCLUSIONS Cavum septum pellucidum and white matter hyperintensities are significantly more prevalent in patients with the 22q11.2 deletion syndrome and may represent biomarkers for psychosis.
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Affiliation(s)
- J E Schmitt
- From the Department of Radiology (J.E.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - J J Yi
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania Department of Psychiatry (J.J.Y.)
| | - D R Roalf
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - L A Loevner
- From the Department of Radiology (J.E.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - K Ruparel
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - D Whinna
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - M C Souders
- Division of Human Genetics (M.C.S., D.M.M.-M., E.H.Z., B.S.E.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - D M McDonald-McGinn
- Division of Human Genetics (M.C.S., D.M.M.-M., E.H.Z., B.S.E.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania Department of Pediatrics (D.M.M.-M., E.H.Z., B.S.E.), University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Department of Pediatrics (D.M.M.-M., E.H.Z., B.S.E.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - E Yodh
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - S Vandekar
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - E H Zackai
- Division of Human Genetics (M.C.S., D.M.M.-M., E.H.Z., B.S.E.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania Department of Pediatrics (D.M.M.-M., E.H.Z., B.S.E.), University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Department of Pediatrics (D.M.M.-M., E.H.Z., B.S.E.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - R C Gur
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - B S Emanuel
- Division of Human Genetics (M.C.S., D.M.M.-M., E.H.Z., B.S.E.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania Department of Pediatrics (D.M.M.-M., E.H.Z., B.S.E.), University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania Department of Pediatrics (D.M.M.-M., E.H.Z., B.S.E.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - R E Gur
- Brain Behavior Laboratory (J.E.S., J.J.Y., D.R.R., K.R., D.W., E.Y., S.V., R.C.G., R.E.G.), Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
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Hettema JM, Kettenmann B, Ahluwalia V, McCarthy C, Kates WR, Schmitt JE, Silberg JL, Neale MC, Kendler KS, Fatouros P. Pilot multimodal twin imaging study of generalized anxiety disorder. Depress Anxiety 2012; 29:202-9. [PMID: 21994092 PMCID: PMC3258467 DOI: 10.1002/da.20901] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2011] [Revised: 08/17/2011] [Accepted: 08/22/2011] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Generalized anxiety disorder (GAD) is a common chronic condition that is relatively understudied compared to other psychiatric syndromes. Neuroimaging studies have begun to implicate particular neural structures and circuitry in its pathophysiology; however, no genetically informative research has examined the potential sources of reported brain differences. METHODS We acquired spectroscopic, volumetric, and diffusion tensor magnetic resonance imaging data from a pilot study of 34 female subjects selected from monozygotic twin pairs based upon their affection status for GAD, and examined brain regions previously implicated in fear and anxiety for their relationship with affection status and genetic risk. RESULTS Lifetime GAD associated with increased creatine levels in the amygdala, smaller left hippocampal volume, and lower fractional anisotropy in the uncinate fasciculus which connects amygdala and frontal cortex. In addition, GAD genetic risk predicted increases in myo-inositol in the amygdala and, possibly, glutamate/glutamine/GABA alterations in the hippocampus. The association of lifetime GAD with smaller hippocampal volume was independent of major depression and might represent a common genetic risk marker for internalizing disorders. CONCLUSIONS These preliminary data suggest that GAD and its genetic risk factors are likely correlated with volumetric and spectroscopic changes in fear-related limbic structures and their connections with the frontal cortex.
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Affiliation(s)
- John M Hettema
- Departments of Psychiatry, State University of New York Upstate Medical University, Syracuse, New York, USA.
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16
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Ordaz SJ, Lenroot RK, Wallace GL, Clasen LS, Blumenthal JD, Schmitt JE, Giedd JN. Are there differences in brain morphometry between twins and unrelated singletons? A pediatric MRI study. Genes Brain Behav 2009; 9:288-95. [PMID: 20100212 DOI: 10.1111/j.1601-183x.2009.00558.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Twins provide a unique capacity to explore relative genetic and environmental contributions to brain development, but results are applicable to non-twin populations only to the extent that twin and singleton brains are alike. A reason to suspect differences is that as a group twins are more likely than singletons to experience adverse prenatal and perinatal events that may affect brain development. We sought to assess whether this increased risk leads to differences in child or adolescent brain anatomy in twins who do not experience behavioral or neurological sequelae during the perinatal period. Brain MRI scans of 185 healthy pediatric twins (mean age = 11.0, SD = 3.6) were compared to scans of 167 age- and sex-matched unrelated singletons on brain structures measured, which included gray and white matter lobar volumes, ventricular volume, and area of the corpus callosum. There were no significant differences between groups for any structure, despite sufficient power for low type II (i.e. false negative) error. The implications of these results are twofold: (1) within this age range and for these measures, it is appropriate to include healthy twins in studies of typical brain development, and (2) findings regarding heritability of brain structures obtained from twin studies can be generalized to non-twin populations.
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Affiliation(s)
- S J Ordaz
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA
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17
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Lenroot RK, Schmitt JE, Ordaz SJ, Wallace GL, Neale MC, Lerch JP, Kendler KS, Evans AC, Giedd JN. Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence. Hum Brain Mapp 2009; 30:163-74. [PMID: 18041741 PMCID: PMC6870600 DOI: 10.1002/hbm.20494] [Citation(s) in RCA: 233] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2007] [Accepted: 08/31/2007] [Indexed: 01/28/2023] Open
Abstract
In this report, we present the first regional quantitative analysis of age-related differences in the heritability of cortical thickness using anatomic MRI with a large pediatric sample of twins, twin siblings, and singletons (n = 600, mean age 11.1 years, range 5-19). Regions of primary sensory and motor cortex, which develop earlier, both phylogenetically and ontologically, show relatively greater genetic effects earlier in childhood. Later developing regions within the dorsal prefrontal cortex and temporal lobes conversely show increasingly prominent genetic effects with maturation. The observation that regions associated with complex cognitive processes such as language, tool use, and executive function are more heritable in adolescents than children is consistent with previous studies showing that IQ becomes increasingly heritable with maturity(Plomin et al. 1997: Psychol Sci 8:442-447). These results suggest that both the specific cortical region and the age of the population should be taken into account when using cortical thickness as an intermediate phenotype to link genes, environment, and behavior.
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Affiliation(s)
- Rhoshel K Lenroot
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892-9692, USA.
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18
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Medland SE, Schmitt JE, Webb BT, Kuo PH, Neale MC. Efficient calculation of empirical P-values for genome-wide linkage analysis through weighted permutation. Behav Genet 2008; 39:91-100. [PMID: 18810631 DOI: 10.1007/s10519-008-9229-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2008] [Accepted: 09/03/2008] [Indexed: 01/31/2023]
Abstract
Linkage analysis in multivariate or longitudinal context presents both statistical and computational challenges. The permutation test can be used to avoid some of the statistical challenges, but it substantially adds to the computational burden. Utilizing the distributional dependencies between p (defined as the proportion of alleles at a locus that are identical by descent (IBD) for a pairs of relatives, at a given locus) and the permutation test we report a new method of efficient permutation. In summary, the distribution of p for a sample of relatives at locus x is estimated as a weighted mixture of p drawn from a pool of 'representative' p distributions observed at other loci. This weighting scheme is then used to sample from the distribution of the permutation tests at the representative loci to obtain an empirical P-value at locus x (which is asymptotically distributed as the permutation test at loci x). This weighted mixture approach greatly reduces the number of permutation tests required for genome-wide scanning, making it suitable for use in multivariate and other computationally intensive linkage analyses. In addition, because the distribution of p is a property of the genotypic data for a given sample and is independent of the phenotypic data, the weighting scheme can be applied to any phenotype (or combination of phenotypes) collected from that sample. We demonstrate the validity of this approach through simulation.
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Affiliation(s)
- Sarah E Medland
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23298-0126, USA.
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19
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Schmitt JE, Lenroot RK, Wallace GL, Ordaz S, Taylor KN, Kabani N, Greenstein D, Lerch JP, Kendler KS, Neale MC, Giedd JN. Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. ACTA ACUST UNITED AC 2008; 18:1737-47. [PMID: 18234689 DOI: 10.1093/cercor/bhm211] [Citation(s) in RCA: 142] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Structural magnetic resonance imaging data from 308 twins, 64 singleton siblings of twins, and 228 singletons were analyzed using structural equation modeling and selected multivariate methods to identify genetically mediated intracortical associations. Principal components analyses (PCA) of the genetic correlation matrix indicated a single factor accounting for over 60% of the genetic variability in cortical thickness. When covaried for mean global cortical thickness, PCA, cluster analyses, and graph models identified genetically mediated fronto-parietal and occipital networks. Graph theoretical models suggest that the observed genetically mediated relationships follow small world architectural rules. These findings are largely concordant with other multivariate studies of brain structure and function, the twin literature, and current understanding on the role of genes in cortical neurodevelopment.
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Affiliation(s)
- J E Schmitt
- Virginia Institute for Psychiatric and Behavioral Genetics Richmond, VA 23298, USA
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20
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Abstract
BACKGROUND Williams syndrome (WMS) is a rare neurogenetic condition with a behavioral phenotype that suggests a dorsal and/or ventral developmental dissociation, with deficits in dorsal but not the ventral hemispheric visual stream. A shortened extent of the dorsal central sulcus has been observed in autopsy specimens. OBJECTIVE To compare gross anatomical features between the dorsal and ventral portions of the cerebral hemispheres by examining the dorsal extent of the central sulcus in brain magnetic resonance images from a sample of subjects with WMS and age- and sex-matched control subjects. SUBJECTS Twenty-one subjects having clinically and genetically diagnosed WMS (mean +/- SD age, 28.9 +/- 7.9 years) were compared with 21 age- and sex-matched typically developing controls (mean +/- SD age, 28.8 +/- 7.9 years). DESIGN High-resolution structural magnetic resonance images were acquired. The extent of the central sulcus was qualitatively assessed via surface projections of the cerebral cortex. RESULTS The dorsal central sulcus is less likely to reach the interhemispheric fissure in subjects with WMS than in controls for both left (P< .001, chi(2) = 15.79) and right (P< .001, chi(2) = 12.95) hemispheres. No differences between the groups were found in the ventral extent of the central sulcus. CONCLUSIONS Anomalies in the dorsal region in patients with WMS are indicative of early neurodevelopmental problems affecting the development of the dorsal forebrain and are most likely related to the deficits in visuospatial ability and behavioral timing often observed in this condition.
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Affiliation(s)
- A M Galaburda
- Department of Neurology, Beth Israel-Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA.
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Abstract
OBJECTIVE Down's syndrome, the most common genetic cause of mental retardation, results in characteristic physical and neuropsychological findings, including mental retardation and deficits in language and memory. This study was undertaken to confirm previously reported abnormalities of regional brain volumes in Down's syndrome by using high-resolution magnetic resonance imaging (MRI), determine whether these volumetric abnormalities are present from childhood, and consider the relationship between neuroanatomic abnormalities and the cognitive profile of Down's syndrome. METHOD Sixteen children and young adults with Down's syndrome (age range=5-23 years) were matched for age and gender with 15 normal comparison subjects. High-resolution MRI scans were quantitatively analyzed for measures of overall and regional brain volumes and by tissue composition. RESULTS Consistent with prior imaging studies, subjects with Down's syndrome had smaller overall brain volumes, with disproportionately smaller cerebellar volumes and relatively larger subcortical gray matter volumes. Also noted was relative preservation of parietal lobe gray and temporal lobe white matter in subjects with Down's syndrome versus comparison subjects. No abnormalities in pattern of brain asymmetry were noted in Down's syndrome subjects. CONCLUSIONS The results largely confirm findings of previous studies with respect to overall patterns of brain volumes in Down's syndrome and also provide new evidence for abnormal volumes of specific regional tissue components. The presence of these abnormalities from an early age suggests that fetal or early postnatal developmental differences may underlie the observed pattern of neuroanatomic abnormalities and contribute to the specific cognitive and developmental deficits seen in individuals with Down's syndrome.
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Affiliation(s)
- J D Pinter
- Department of Neurology, University of California, San Francisco, USA.
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22
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Abstract
Williams syndrome (WMS) is a rare genetic disorder characterized by relative preservations of language ability and facial processing despite deficits in overall intelligence, problem solving, and visuospatial processing. Subjects with WMS also display hypersocial behavior and excessive linguistic affect during conversations and when giving narratives. Neuroimaging studies have shown global reductions in the brain volumes of subjects with WMS compared with normal controls, but with preservations in cerebellar volume. This study examines the neuroanatomic structure of the cerebellar vermis in 20 subjects with WMS and 20 age- and gender-matched controls via high-resolution magnetic resonance imaging. The vermis was divided into lobules I-V, VI-VII, and VIII-X. Lobules VI-VII and VIII-X were both relatively enlarged in the WMS group, and after adjusting for the smaller size of the WMS brain, the posterior vermis was significantly larger in WMS (Mann-Whitney z-value=4.27; P<0.001). Given that reductions in posterior vermis size have been implicated in flattened affect and autistic features, increased vermis size in subjects with WMS may be related to the hypersociality and heightened affective expression characteristic of individuals with this genetic condition.
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Affiliation(s)
- J E Schmitt
- Stanford Psychiatry Neuroimaging Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305-5719, USA
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Pinter JD, Brown WE, Eliez S, Schmitt JE, Capone GT, Reiss AL. Amygdala and hippocampal volumes in children with Down syndrome: a high-resolution MRI study. Neurology 2001; 56:972-4. [PMID: 11294940 DOI: 10.1212/wnl.56.7.972] [Citation(s) in RCA: 137] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The objective of this study was to use high-resolution MRI techniques to determine whether children with Down syndrome exhibit decreases in hippocampal and amygdala volumes similar to those demonstrated in recent studies of adults with this condition. When corrected for overall brain volumes, amygdala volumes did not differ between groups but hippocampal volumes were significantly smaller in the Down syndrome group. These findings suggest that the hippocampal volume reduction seen in adults with Down syndrome may be primarily due to early developmental differences rather than neurodegenerative changes.
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Affiliation(s)
- J D Pinter
- Department of Neurology, University of Washington School of Medicine, Seattle, USA.
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Abstract
BACKGROUND Velocardiofacial syndrome (VCFS) has been identified as a risk factor for developing schizophrenia. Qualitative neuroimaging studies indicated that VCFS was frequently associated with abnormal development of structures in the posterior fossa of the brain. The objective of this investigation was to identify the specific structures affected in the posterior fossa and investigate the association of these neuroanatomic variations with behaviors potentially related to later-onset psychiatric disorders. METHODS Twenty-four children and adolescents with VCFS individually matched for age and gender with 24 control subjects received magnetic resonance imaging scans. Analysis of covariance models were used to investigate regional brain differences. Association between brain areas and behaviors measured on the Child Behavior Checklist (CBCL) were assessed using simple regression models. RESULTS Children with VCFS had significantly smaller size of vermal lobules VI--VII and the pons after adjusting for overall brain size. There were no significant associations between scores on the CBCL and measures of neuroanatomic variation within the VCFS group. CONCLUSIONS Structural alterations of the posterior fossa in VCFS are specifically limited to cerebellar vermis lobules VI--VII and pons. Previous literature has suggested that the vermis is involved in social cognition, and alteration of lobules VI--VII could therefore partially explain the neurobehavioral profile associated with VCFS.
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Affiliation(s)
- S Eliez
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305-5719, USA
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Schmitt JE, Eliez S, Warsofsky IS, Bellugi U, Reiss AL. Corpus callosum morphology of Williams syndrome: relation to genetics and behavior. Dev Med Child Neurol 2001; 43:155-9. [PMID: 11263684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
As the largest interhemispheric commissure in the brain, the corpus callosum is of particular interest in disorders that may preferentially affect white matter development such as Williams syndrome (WS). Individuals with WS possess a remarkable array of neurobehavioral peaks and valleys, including deficits in visuospatial ability, mathematics, and attention, but with relative preservation of language and affect. Our study measured the corpus callosum and its primary subdivisions using high-resolution MRI in 20 individuals with WS (13 females and seven males; mean age 28.5, SD 8.3 years; range 19 to 44 years) and 20 age- and sex-matched control participants (mean age 28.5, SD 8.2 years; range 19 to 48 years). Total midsagittal corpus callosum area was reduced (F=4.5, p=0.04, df=36) in the WS population. The area of the splenium (F=12.4, p=0.001, df=36) and isthmus (F=9.4, p=0.004, df=36) were disproportionately reduced in WS beyond the absolute reduction of the entire corpus callosum. These reductions are in concordance with other neuroanatomical findings of decreased parietooccipital volumes as well as the observed visuospatial problems associated with WS.
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Affiliation(s)
- J E Schmitt
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305-5719, USA
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Abstract
BACKGROUND As a neurobehavioral disorder with a specific neurocognitive profile and a well-defined genetic etiology, Williams syndrome (WMS) provides an exceptional opportunity to examine associations among measures of behavior, neuroanatomy, and genetics. This study was designed to determine how cerebral shape differs between the brains of subjects with WMS and those of normal controls. SUBJECTS Twenty adults with clinically and genetically diagnosed WMS (mean +/- SD age, 28.5 +/- 8.3 years) and 20 healthy, age- and sex-matched controls (mean +/- SD age, 28.5 +/- 8.2 years). DESIGN High-resolution structural magnetic resonance imaging data were used for shape-based morphological analysis of the right and left cerebral hemispheres and the corpus callosum. Statistical analyses were performed to examine group differences. RESULTS Both right and left cerebral hemispheres of subjects with WMS bend to a lesser degree in the sagittal plane than normal controls (P<.001). The corpus callosum also bends less in subjects with WMS (P =.05). In addition, subjects with WMS have decreased cerebral (P<.001) and corpus callosum (P<.001) midline lengths. CONCLUSIONS Subjects with WMS have significantly different cerebral shape from normal controls, perhaps due to decreased parieto-occipital lobe volumes relative to frontal regions. The similar observation in the corpus callosum may be associated with a decreased size of the splenium in WMS. These findings may provide important clues to the effect of genes in the WMS-deleted region on brain development.
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Affiliation(s)
- J E Schmitt
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd, Stanford, CA 94305-5719, USA
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Eliez S, Blasey CM, Menon V, White CD, Schmitt JE, Reiss AL. Functional brain imaging study of mathematical reasoning abilities in velocardiofacial syndrome (del22q11.2). Genet Med 2001; 3:49-55. [PMID: 11339378 DOI: 10.1097/00125817-200101000-00011] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Children with velocardiofacial syndrome (VCFS) often have deficits in mathematical reasoning. Previous research has suggested that structural abnormalities in the parietal lobe region might underlie these deficits. The present study utilized functional magnetic resonance imaging (fMRI) to explore the relationship between brain function and mathematical performance in VCFS. METHODS Eight children with VCFS and eight comparison subjects underwent fMRI scanning and completed an arithmetic computation task. RESULTS In the VCFS group, increased activation was observed in the left supramarginal gyrus (LSMG) as the task difficulty increased. CONCLUSION Aberrant LSMG activation, possibly due to structural deficits of the left parietal lobe, may explain decrements in arithmetic performance observed in VCFS.
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Affiliation(s)
- S Eliez
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, California 94305-5719, USA
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Reiss AL, Eliez S, Schmitt JE, Patwardhan A, Haberecht M. Brain imaging in neurogenetic conditions: realizing the potential of behavioral neurogenetics research. Ment Retard Dev Disabil Res Rev 2000; 6:186-97. [PMID: 10982496 DOI: 10.1002/1098-2779(2000)6:3<186::aid-mrdd6>3.0.co;2-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Behavioral neurogenetics research is a new method of scientific inquiry that focuses on investigation of neurodevelopmental dysfunction associated with specific genetic conditions. This research method provides a powerful tool for scientific inquiry into human gene-brain-behavior linkages that complements more traditional research approaches. In particular, the use of specific genetic conditions as models of common behavioral and cognitive disorders occurring in the general population can reveal insights into neurodevelopmental pathways that might otherwise be obscured or diluted when investigating more heterogeneous, behaviorally defined subject groups. In this paper, we review five genetic conditions that commonly give rise to identifiable neurodevelopmental and neuropsychiatric disability in children: fragile X syndrome, velo-cardio-facial syndrome, Williams syndrome, Turner syndrome, and Klinefelter syndrome. While emphasis is placed on describing the brain morphology associated with these conditions as revealed by neuroimaging studies, we also include information pertaining to molecular genetic, postmortem, and neurobehavioral investigations to illustrate how behavioral neurogenetics research can contribute to an improved understanding of brain disorders in childhood.
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Affiliation(s)
- A L Reiss
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
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Abstract
Williams syndrome (WMS), a genetic condition resulting from a contiguous deletion on the long arm of chromosome 7, is associated with a relatively consistent profile of neurocognitive and neurobehavioral features. The distinctiveness and regularity of the profile of learning and behavioral characteristics in this genetic condition suggests that underlying neurobiological correlates may be identifiable. In this initial study, we report findings derived from a high-resolution neuroimaging study of 14 young adult subjects with WMS and an individually matched normal control group. Compared to controls, subjects with WMS were noted to have decreased overall brain and cerebral volumes, relative preservation of cerebellar and superior temporal gyrus (STG) volumes, and disproportionate volume reduction of the brainstem. Analyses also suggested that the pattern of cerebral lobe proportions in WMS may be altered compared to normal controls with a greater ratio of frontal to posterior (parietal+occipital) tissue. Assessment of tissue composition indicated that, relative to controls, individuals with WMS have relative preservation of cerebral gray matter volume and disproportionate reduction in cerebral white matter volume. However, within the cerebral gray matter tissue compartment, the right occipital lobe was noted to have excess volume loss. Combined with our growing knowledge of the function of genes in the commonly deleted region for WMS, more detailed information regarding the structure and function of the WMS brain will provide a unique opportunity for elucidating meaningful correlations amongst genetic, neurobiological, and neurobehavioral factors in humans.
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Affiliation(s)
- A L Reiss
- Stanford University School of Medicine, California, USA
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Abstract
Functional imaging studies of developmental dyslexia have reported reduced task-related neural activity in the temporal and inferior parietal cortices. To examine the possible contribution of subtle anatomic deviations to these reductions, volumes were measured for the major lobes of the brain, the subcortical nuclei, cerebellum, and lateral ventricles on magnetic resonance imaging (MRI) scans from 16 right-handed dyslexic men, ages 18 to 40, and 14 matched controls, most of whom had previously undergone PET imaging. A specific decrease in tissue volume was localized to the temporal lobes and was particularly prominent on the left (p < .01). An analysis of tissue composition revealed that this reduction was primarily attributable to decreased gray matter within the left temporal lobe (p < .002). Further segmentation of the temporal lobe showed that this reduction was not confined to the superior temporal gyrus, the primary location of primary auditory cortex. Reductions of temporal lobe gray matter may reflect a regional decrease in neuronal number or neuropil, which in turn may result in reading impairment.
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Affiliation(s)
- S Eliez
- Dept of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305-5719, USA.
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31
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Abstract
OBJECTIVE Velocardiofacial syndrome is a common genetic condition often accompanied by mild cognitive impairment. Children and adolescents with velocardiofacial syndrome also are at greater risk for developing serious neuropsychiatric disorders in adulthood, particularly schizophrenia-like disorders. The purpose of this preliminary study was to 1) elucidate through brain imaging the neurobiological basis of cognitive and neuropsychiatric problems in velocardiofacial syndrome, and 2) consider the association between variations in neuroanatomy in velocardiofacial syndrome subjects and the associated neurobehavioral phenotype. METHOD Fifteen children and adolescents with velocardiofacial syndrome were matched by age and gender with 15 comparison subjects. High-resolution magnetic resonance imaging scans were analyzed to provide quantitative measures of specified brain tissues and regions. Rater-blind morphometric analyses were conducted to examine tissue volumes of the four lobes and the cerebellum. RESULTS Total brain volume was approximately 11% smaller in the children with velocardiofacial syndrome. Gray matter volume was reduced to a lesser extent (7.5%) than white matter volume (16.3%). Multivariate analyses of variance indicated a distinct pattern of regional morphological variation among the children with velocardiofacial syndrome. Specifically, frontal lobe tissue tended to be enlarged relative to the overall reduction in brain volume. Normal symmetry of parietal lobe tissue observed in the comparison group was not evident in the velocardiofacial syndrome group. This loss of symmetry was attributable to a significant reduction of gray matter in the left parietal lobe. CONCLUSIONS Aberrant brain morphology is associated with velocardiofacial syndrome. These changes are potentially related to the language and learning deficits associated with the syndrome and may provide clues about neurodevelopmental pathways associated with schizophrenia.
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Affiliation(s)
- S Eliez
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305-5719, USA.
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