1
|
Tang R, Buchholz E, Dale AM, Rissman RA, Fennema-Notestine C, Gillespie NA, Hagler DJ, Lyons MJ, Neale MC, Panizzon MS, Puckett OK, Reynolds CA, Franz CE, Kremen WS, Elman JA. Associations of plasma neurofilament light chain with cognition and neuroimaging measures in community-dwelling early old age men. Alzheimers Res Ther 2024; 16:90. [PMID: 38664843 PMCID: PMC11044425 DOI: 10.1186/s13195-024-01464-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/21/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND Plasma neurofilament light chain (NfL) is a promising biomarker of neurodegeneration with potential clinical utility in monitoring the progression of neurodegenerative diseases. However, the cross-sectional associations of plasma NfL with measures of cognition and brain have been inconsistent in community-dwelling populations. METHODS We examined these associations in a large community-dwelling sample of early old age men (N = 969, mean age = 67.57 years, range = 61-73 years), who are either cognitively unimpaired (CU) or with mild cognitive impairment (MCI). Specifically, we investigated five cognitive domains (executive function, episodic memory, verbal fluency, processing speed, visual-spatial ability), as well as neuroimaging measures of gray and white matter. RESULTS After adjusting for age, health status, and young adult general cognitive ability, plasma NfL level was only significantly associated with processing speed and white matter hyperintensity (WMH) volume, but not with other cognitive or neuroimaging measures. The association with processing speed was driven by individuals with MCI, as it was not detected in CU individuals. CONCLUSIONS These results suggest that in early old age men without dementia, plasma NfL does not appear to be sensitive to cross-sectional individual differences in most domains of cognition or neuroimaging measures of gray and white matter. The revealed plasma NfL associations were limited to WMH for all participants and processing speed only within the MCI cohort. Importantly, considering cognitive status in community-based samples will better inform the interpretation of the relationships of plasma NfL with cognition and brain and may help resolve mixed findings in the literature.
Collapse
Affiliation(s)
- Rongxiang Tang
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA.
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA.
| | - Erik Buchholz
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, 92093, USA
- Department of Neurosciences, University of California San Diego, La Jolla, 92093, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego, La Jolla, 92093, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA
- Department of Radiology, University of California San Diego, La Jolla, 92093, USA
| | - Nathan A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Donald J Hagler
- Department of Neurosciences, University of California San Diego, La Jolla, 92093, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, 02215, USA
| | - Michael C Neale
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA
| | - Olivia K Puckett
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA
| | - Chandra A Reynolds
- Department of Psychology and Neurosciences, University of Colorado Boulder, Boulder, 80309, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA
| | - Jeremy A Elman
- Department of Psychiatry, University of California San Diego, La Jolla, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, 92093, USA
| |
Collapse
|
2
|
Miranda WR, Dearani JA, Jain CC, Hagler DJ, Connolly HM, Egbe AC. Cardiac Catheterization in Adults with Ebstein Anomaly: Pathophysiologic Insights Regarding Surgical Repair and Prognosis. Pediatr Cardiol 2024; 45:591-599. [PMID: 38019300 DOI: 10.1007/s00246-023-03337-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 10/25/2023] [Indexed: 11/30/2023]
Abstract
The underlying invasive hemodynamics and physiology in Ebstein anomaly (EA) are poorly understood. Moreover, the hemodynamic impact of tricuspid valve intervention in EA has not been well studied. Retrospective cohort of 52 adults with repaired and 36 with unrepaired EA undergoing right heart catheterization at Mayo Clinic, MN between 1993 and 2021. "Repaired" EA was defined as prior tricuspid valve repair and/or replacement (83% post-tricuspid valve replacement). Repaired patients were younger than those with unrepaired EA (41.3 ± 16.0 versus 50.6 ± 15.6 years, p = 0.008) and had a lower prevalence of ≥ moderate native or prosthetic tricuspid regurgitation (67% versus 81%, p = 0.01). Right atrial (RA) pressure was higher among patients with repaired EA than in unrepaired disease [13 (11; 18) versus 10 (8; 15) mmHg; p = 0.02], but these differences were no longer present when adjusting for ≥ moderate right ventricular systolic dysfunction and ≥ moderate tricuspid regurgitation. Cardiac index (Qs) was lower among those with unrepaired EA than in repaired EA (1.9 ± 0.7 versus 2.3 ± 0.6 l/min/m2, p = 0.01), even after adjusting for similar confounders. During a follow-up of 8.6 (3.2-13.3) years, 16 (18%) patients died. Systolic pulmonary artery pressure was independently associated with all-cause mortality. In summary, higher cardiac indices were found in those with repaired EA compared to those with unrepaired disease. RA hypertension was prevalent in both groups and no differences in right filling pressures were found between groups after adjusting for potential confounders. Elevation in pulmonary pressures was independently associated with survival. The use of pulmonary vasomodulators in EA requires further investigation.
Collapse
Affiliation(s)
- William R Miranda
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Joseph A Dearani
- Department of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA
| | - C Charles Jain
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Donald J Hagler
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Heidi M Connolly
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Alexander C Egbe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
3
|
Parekh P, Fan CC, Frei O, Palmer CE, Smith DM, Makowski C, Iversen JR, Pecheva D, Holland D, Loughnan R, Nedelec P, Thompson WK, Hagler DJ, Andreassen OA, Jernigan TL, Nichols TE, Dale AM. FEMA: Fast and efficient mixed-effects algorithm for large sample whole-brain imaging data. Hum Brain Mapp 2024; 45:e26579. [PMID: 38339910 PMCID: PMC10823765 DOI: 10.1002/hbm.26579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 12/08/2023] [Accepted: 12/17/2023] [Indexed: 02/12/2024] Open
Abstract
The linear mixed-effects model (LME) is a versatile approach to account for dependence among observations. Many large-scale neuroimaging datasets with complex designs have increased the need for LME; however LME has seldom been used in whole-brain imaging analyses due to its heavy computational requirements. In this paper, we introduce a fast and efficient mixed-effects algorithm (FEMA) that makes whole-brain vertex-wise, voxel-wise, and connectome-wide LME analyses in large samples possible. We validate FEMA with extensive simulations, showing that the estimates of the fixed effects are equivalent to standard maximum likelihood estimates but obtained with orders of magnitude improvement in computational speed. We demonstrate the applicability of FEMA by studying the cross-sectional and longitudinal effects of age on region-of-interest level and vertex-wise cortical thickness, as well as connectome-wide functional connectivity values derived from resting state functional MRI, using longitudinal imaging data from the Adolescent Brain Cognitive DevelopmentSM Study release 4.0. Our analyses reveal distinct spatial patterns for the annualized changes in vertex-wise cortical thickness and connectome-wide connectivity values in early adolescence, highlighting a critical time of brain maturation. The simulations and application to real data show that FEMA enables advanced investigation of the relationships between large numbers of neuroimaging metrics and variables of interest while considering complex study designs, including repeated measures and family structures, in a fast and efficient manner. The source code for FEMA is available via: https://github.com/cmig-research-group/cmig_tools/.
Collapse
Affiliation(s)
- Pravesh Parekh
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Chun Chieh Fan
- Center for Population Neuroscience and GeneticsLaureate Institute for Brain ResearchTulsaOklahomaUSA
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Oleksandr Frei
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOsloNorway
- Centre for Bioinformatics, Department of InformaticsUniversity of OsloOsloNorway
| | - Clare E. Palmer
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Diana M. Smith
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Neurosciences Graduate ProgramUniversity of California San DiegoLa JollaCaliforniaUSA
- Medical Scientist Training ProgramUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Carolina Makowski
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - John R. Iversen
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
- Institute for Neural ComputationUniversity of California San DiegoLa JollaCaliforniaUSA
- The Swartz Center for Computational NeuroscienceUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of Psychology Neuroscience & BehaviourMcMaster UniversityHamiltonOntarioCanada
| | - Diliana Pecheva
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Dominic Holland
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Robert Loughnan
- Population Neuroscience and Genetics LabUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Pierre Nedelec
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Wesley K. Thompson
- Center for Population Neuroscience and GeneticsLaureate Institute for Brain ResearchTulsaOklahomaUSA
| | - Donald J. Hagler
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Terry L. Jernigan
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Human DevelopmentUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of Cognitive ScienceUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Thomas E. Nichols
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Anders M. Dale
- Department of Radiology, School of MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of Cognitive ScienceUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
- Department of NeuroscienceUniversity of California San DiegoLa JollaCaliforniaUSA
| |
Collapse
|
4
|
Maleyeff L, Newburger JW, Wypij D, Thomas NH, Anagnoustou E, Brueckner M, Chung WK, Cleveland J, Cunningham S, Gelb BD, Goldmuntz E, Hagler DJ, Huang H, King E, McQuillen P, Miller TA, Norris‐Brilliant A, Porter GA, Roberts AE, Grant PE, Im K, Morton SU. Association of genetic and sulcal traits with executive function in congenital heart disease. Ann Clin Transl Neurol 2024; 11:278-290. [PMID: 38009418 PMCID: PMC10863927 DOI: 10.1002/acn3.51950] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 11/06/2023] [Indexed: 11/28/2023] Open
Abstract
OBJECTIVE Persons with congenital heart disease (CHD) are at increased risk of neurodevelopmental disabilities, including impairments to executive function. Sulcal pattern features correlate with executive function in adolescents with single-ventricle heart disease and tetralogy of Fallot. However, the interaction of sulcal pattern features with genetic and participant factors in predicting executive dysfunction is unknown. METHODS We studied sulcal pattern features, participant factors, and genetic risk for executive function impairment in a cohort with multiple CHD types using stepwise linear regression and machine learning. RESULTS Genetic factors, including predicted damaging de novo or rare inherited variants in neurodevelopmental disabilities risk genes, apolipoprotein E genotype, and principal components of sulcal pattern features were associated with executive function measures after adjusting for age at testing, sex, mother's education, and biventricular versus single-ventricle CHD in a linear regression model. Using regression trees and bootstrap validation, younger participant age and larger alterations in sulcal pattern features were consistently identified as important predictors of decreased cognitive flexibility with left hemisphere graph topology often selected as the most important predictor. Inclusion of both sulcal pattern and genetic factors improved model fit compared to either alone. INTERPRETATION We conclude that sulcal measures remain important predictors of cognitive flexibility, and the model predicting executive outcomes is improved by inclusion of potential genetic sources of neurodevelopmental risk. If confirmed, measures of sulcal patterning may serve as early imaging biomarkers to identify those at heightened risk for future neurodevelopmental disabilities.
Collapse
Affiliation(s)
- Lara Maleyeff
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Jane W. Newburger
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Department of CardiologyBoston Children's HospitalBostonMassachusettsUSA
| | - David Wypij
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Department of CardiologyBoston Children's HospitalBostonMassachusettsUSA
| | - Nina H. Thomas
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and Center for Human Phenomic ScienceChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Evdokia Anagnoustou
- Department of PediatricsHolland Bloorview Kids Rehabilitation Hospital, University of TorontoTorontoOntarioCanada
| | - Martina Brueckner
- Department of GeneticsYale University School of MedicineNew HavenConnecticutUSA
- Department of PediatricsYale University School of MedicineNew HavenConnecticutUSA
| | - Wendy K. Chung
- Department of PediatricsColumbia University Medical CenterNew YorkNew YorkUSA
- Department of MedicineColumbia University Medical CenterNew YorkNew YorkUSA
| | - John Cleveland
- Department of Surgery, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Pediatrics, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Sean Cunningham
- Division of General Pediatrics, Department of PediatricsUniversity of UtahSalt Lake CityUtahUSA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and Department of PediatricsIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Elizabeth Goldmuntz
- Division of Cardiology, Department of PediatricsChildren's Hospital of Philadelphia, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Donald J Hagler
- Center for Multimodal Imaging and GeneticsUniversity of California San DiegoSan DiegoCaliforniaUSA
- Department of Radiology, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Hao Huang
- Department of RadiologyChildren's Hospital of Philadelphia, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Eileen King
- Department of PediatricsUniversity of CincinnatiCincinnatiOhioUSA
- Division of Biostatistics and EpidemiologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Patrick McQuillen
- Department of PediatricsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Thomas A. Miller
- Department of PediatricsPrimary Children's Hospital, University of UtahSalt Lake CityUtahUSA
- Division of Pediatric CardiologyMaine Medical CenterPortlandMaineUSA
| | - Ami Norris‐Brilliant
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - George A. Porter
- Department of PediatricsUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Amy E. Roberts
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Department of CardiologyBoston Children's HospitalBostonMassachusettsUSA
- Division of Genetics and GenomicsBoston Children's HospitalBostonMassachusettsUSA
| | - P. Ellen Grant
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Division of Newborn Medicine, Department of PediatricsBoston Children's HospitalBostonMassachusettsUSA
- Fetal Neonatal Neuroimaging and Developmental Science CenterBoston Children's HospitalBostonMassachusettsUSA
- Department of RadiologyBoston Children's HospitalBostonMassachusettsUSA
| | - Kiho Im
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Division of Newborn Medicine, Department of PediatricsBoston Children's HospitalBostonMassachusettsUSA
- Fetal Neonatal Neuroimaging and Developmental Science CenterBoston Children's HospitalBostonMassachusettsUSA
| | - Sarah U. Morton
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Division of Newborn Medicine, Department of PediatricsBoston Children's HospitalBostonMassachusettsUSA
- Fetal Neonatal Neuroimaging and Developmental Science CenterBoston Children's HospitalBostonMassachusettsUSA
| |
Collapse
|
5
|
Roehl K, Mead-Harvey C, Connolly HM, Dearani JA, Schaap FS, Liljenstolpe SL, Osborn LB, Jain CC, Hagler DJ, Marcotte F, Majdalany DS. Safety and Efficacy of Surgical and Percutaneous Cardiac Interventions for Adults With Down Syndrome. Mayo Clin Proc Innov Qual Outcomes 2024; 8:28-36. [PMID: 38226363 PMCID: PMC10788184 DOI: 10.1016/j.mayocpiqo.2023.11.002] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2024] Open
Abstract
Objective To assess risks and benefits of cardiac intervention in adults with Down syndrome (DS). Patients and Methods A retrospective review was conducted using data from a study we published in 2010. Patients aged 18 years or older with DS who underwent cardiac operation or percutaneous intervention from February 2009 through April 2022 (new cohort) were compared with patients in the previous study (January 1969 through November 2007; remote cohort) at Mayo Clinic. Results In total, 81 adults (43 men; 38 women) with DS underwent 89 cardiac interventions (84 surgical; 5 percutaneous) at a mean age of 33 years. Twenty-six patients presented with complete atrioventricular canal defect (17%) or tetralogy of Fallot (15%). The most common adult procedures were valve interventions: mitral (31%), tricuspid (15%), and pulmonary (12%). Of pulmonary valve interventions in the new cohort, 33% were performed percutaneously. The postoperative mortality rate was low (1% total). The mean time between last operation and death was 16 years. Conclusion Adults with DS can undergo cardiac operation and percutaneous intervention with low morbidity and mortality risk and good long-term survival.
Collapse
Affiliation(s)
- Kaitlin Roehl
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ
| | | | | | | | - Felicia S. Schaap
- Nurse Practitioner Fellow in Cardiology, Mayo Clinic School of Health Sciences, Mayo Clinic College of Medicine and Science, Phoenix, AZ
- University of Tennessee Medical Center, Knoxville, TN
| | - Susanna L. Liljenstolpe
- Nurse Practitioner Fellow in Cardiology, Mayo Clinic School of Health Sciences, Mayo Clinic College of Medicine and Science, Phoenix, AZ
- Cardiovascular Consultants Ltd, Phoenix, AZ
| | | | - C. Charles Jain
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Donald J. Hagler
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
| | | | | |
Collapse
|
6
|
Miranda WR, Jain CC, Egbe AC, Reddy YN, Dearani JA, Hagler DJ, Connolly HM. Hemodynamics in Adults with Systemic Right Ventricles: Differences Between Congenitally Corrected and Complete Transposition of the Great Arteries. Pediatr Cardiol 2024:10.1007/s00246-023-03381-w. [PMID: 38231238 DOI: 10.1007/s00246-023-03381-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 12/07/2023] [Indexed: 01/18/2024]
Abstract
Despite their anatomical differences, congenitally corrected (ccTGA) and complete transposition of the great arteries (d-TGA) post-atrial switch are frequently studied together and managed similarly from a medical standpoint due to the shared systemic right ventricle (sRV). The aim was to assess differences in their underlying hemodynamics. The study is a retrospective review of 138 adults with ccTGA or d-TGA post-atrial switch undergoing cardiac catheterization at Mayo Clinic, MN between 2000 and 2021. ccTGA was categorized into isolated or complex ccTGA depending on concomitant ventricular septal defect and/or left ventricular outflow obstruction. There were 53 patients with d-TGA (91% post-Mustard procedure), 51 with complex and 34 with isolated ccTGA. Isolated ccTGA patients were older (51.8 ± 13.1 years) than those with d-TGA (37.5 ± 8.3 years) or complex ccTGA (40.8 ± 13.4 years). There were no differences in sRV or left ventricular size and function across groups. The ccTGA group more commonly had ≥ moderate tricuspid regurgitation than those with d-TGA; ≥ moderate mitral and ≥ moderate pulmonary regurgitation were most prevalent in complex ccTGA. There were no differences in sRV end-diastolic pressure (sRVEDP) or PAWP between groups. However, the ratio of PAWP:sRVEDP was higher in those with d-TGA compared to those with ccTGA. Cardiac index was higher in the d-TGA group than both groups of ccTGA patients with the latter showing higher indices of ventricular afterload. In conclusion, despite sharing a sRV, adults with d-TGA and ccTGA have substantial differences in hemodynamics and structural/valvular abnormalities. Further investigation regarding disease-specific responses to heart failure therapy in those with d-TGA and ccTGA is warranted.
Collapse
Affiliation(s)
- William R Miranda
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
| | - C Charles Jain
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Alexander C Egbe
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Yogesh N Reddy
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Joseph A Dearani
- Department of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA
| | - Donald J Hagler
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
- Division of Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Heidi M Connolly
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| |
Collapse
|
7
|
Bell TR, Franz CE, Eyler LT, Fennema-Notestine C, Puckett OK, Dorros SM, Panizzon MS, Pearce RC, Hagler DJ, Lyons MJ, Beck A, Elman JA, Kremen WS. Probable chronic pain, brain structure, and Alzheimer's plasma biomarkers in older men. J Pain 2024:104463. [PMID: 38199594 DOI: 10.1016/j.jpain.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 12/06/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
Chronic pain leads to tau accumulation and hippocampal atrophy in mice. In this study, we provide one of the first assessments in humans, examining the associations of probable chronic pain with hippocampal volume, integrity of the locus coeruleus (LC)-an upstream site of tau deposition-and Alzheimer's Disease-related plasma biomarkers. Participants were mostly cognitively unimpaired men. Probable chronic pain was defined as moderate-to-severe pain in 2+ study waves at average ages 56, 62, and 68. At age 68, 424 participants underwent structural magnestic resonance imaging (MRI) of hippocampal volume and LC-sensitive MRI providing an index of LC integrity (LC contrast-to-noise ratio). Analyses adjusted for confounders including major health conditions, depressive symptoms, and opioid use. Models showed that men with probable chronic pain had smaller hippocampal volume and lower rostral-middle-but not caudal-LC contrast-to-noise ratio compared to men without probable chronic pain. Men with probable chronic pain also had higher levels of plasma total tau, beta-amyloid-42, and beta-amyloid-40 compared to men without probable chronic pain. These findings suggest that probable chronic pain is associated with tau accumulation and reduced structural brain integrity in regions affected early in the development of Alzheimer's Disease. PERSPECTIVE: Probable chronic pain was associated with plasma biomarkers and brain regions that are affected early in Alzheimer's disease (AD). Reducing pain in midlife and elucidating biological mechanisms may help to reduce the risk of AD in older adults.
Collapse
Affiliation(s)
- Tyler R Bell
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California; Department of Radiology, University of California San Diego, San Diego, La Jolla, California
| | - Olivia K Puckett
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - Stephen M Dorros
- Department of Radiology, University of California San Diego, San Diego, La Jolla, California
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - Rahul C Pearce
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, San Diego, La Jolla, California; Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, California
| | - Michael J Lyons
- Department of Psychology, Boston University, Boston, Massachusetts
| | - Asad Beck
- Graduate Program in Neuroscience, University of Washington, Seattle, Washington
| | - Jeremy A Elman
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| |
Collapse
|
8
|
Tang R, Elman JA, Dale AM, Dorros SM, Eyler LT, Fennema-Notestine C, Gustavson DE, Hagler DJ, Lyons MJ, Panizzon MS, Puckett OK, Reynolds CA, Franz CE, Kremen WS. Childhood Disadvantage Moderates Late Midlife Default Mode Network Cortical Microstructure and Visual Memory Association. J Gerontol A Biol Sci Med Sci 2024; 79:glad114. [PMID: 37096346 DOI: 10.1093/gerona/glad114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND Childhood disadvantage is a prominent risk factor for cognitive and brain aging. Childhood disadvantage is associated with poorer episodic memory in late midlife and functional and structural brain abnormalities in the default mode network (DMN). Although age-related changes in DMN are associated with episodic memory declines in older adults, it remains unclear if childhood disadvantage has an enduring impact on this later-life brain-cognition relationship earlier in the aging process. Here, within the DMN, we examined whether its cortical microstructural integrity-an early marker of structural vulnerability that increases the risk for future cognitive decline and neurodegeneration-is associated with episodic memory in adults at ages 56-66, and whether childhood disadvantage moderates this association. METHODS Cortical mean diffusivity (MD) obtained from diffusion magnetic resonance imaging was used to measure microstructural integrity in 350 community-dwelling men. We examined both visual and verbal episodic memory in relation to DMN MD and divided participants into disadvantaged and nondisadvantaged groups based on parental education and occupation. RESULTS Higher DMN MD was associated with poorer visual memory but not verbal memory (β = -0.11, p = .040 vs β = -0.04, p = .535). This association was moderated by childhood disadvantage and was significant only in the disadvantaged group (β = -0.26, p = .002 vs β = -0.00, p = .957). CONCLUSIONS Lower DMN cortical microstructural integrity may reflect visual memory vulnerability in cognitively normal adults earlier in the aging process. Individuals who experienced childhood disadvantage manifested greater vulnerability to cortical microstructure-related visual memory dysfunction than their nondisadvantaged counterparts who exhibited resilience in the face of low cortical microstructural integrity.
Collapse
Affiliation(s)
- Rongxiang Tang
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Jeremy A Elman
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, California, USA
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Stephen M Dorros
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Daniel E Gustavson
- Institute for Behavior Genetics, University of Colorado Boulder, Boulder, Colorado, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Olivia K Puckett
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, California, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| |
Collapse
|
9
|
Agasthi P, Jain CC, Egbe AC, Hagler DJ, Cabalka AK, Taggart NW, Anderson JH, Cetta F, Connolly HM, Burchill LJ, Kamath PS, Miranda WR. Clinical Outcomes of Percutaneous Fontan Stenting in Adults. Can J Cardiol 2023; 39:1358-1365. [PMID: 37141988 DOI: 10.1016/j.cjca.2023.04.023] [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: 03/12/2023] [Revised: 04/20/2023] [Accepted: 04/26/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Fontan pathway stenosis is a well-known complication after palliation. Percutaneous stenting is effective for angiographic/hemodynamic relief of Fontan obstruction, but its clinical impact in adults remains unknown. METHODS This was a retrospective cohort of 26 adults undergoing percutaneous stenting for Fontan obstruction from 2014 to 2022. Procedural details, functional capacity, and liver parameters were reviewed at baseline and during follow-up. RESULTS Median age was 22.5 years (interquartile range [IQR] 19-28.8 y); 69% were male. After stenting, Fontan gradient significantly decreased (2.0 ± 1.9 vs 0 [IQR 0-1] mm Hg; P < 0.005), and minimal Fontan diameter increased (11.3 ± 2.9 vs 19.3 [IQR 17-20] mm; P < 0.001). One patient developed acute kidney injury periprocedurally. During a follow-up of 2.1 years (IQR 0.6-3.7 y), 1 patient had thrombosis of the Fontan stent and 2 underwent elective Fontan re-stenting. New York Heart Association functional class improved in 50% of symptomatic patients. Changes in functional aerobic capacity on exercise testing were directly related to pre-stenting Fontan gradient (n = 7; r = 0.80; P = 0.03) and inversely related to pre-stenting minimal Fontan diameter (r = -0.79; P = 0.02). Thrombocytopenia (platelet count < 150 109/L) was present in 42.3% of patients before and in 32% after the procedure (P = 0.08); splenomegaly (spleen size > 13 cm) was present in 58.3% and 58.8% (P = 0.57), respectively. Liver fibrosis (aspartate transaminase to platelet ratio index and Fibrosis-4) scores were unchanged after the procedure compared with baseline. CONCLUSIONS Percutaneous stenting in adults is safe and effective in relieving Fontan obstruction, resulting in subjective improvement in functional capacity in some. A subset of patients demonstrated improvement in markers of portal hypertension, suggesting that Fontan stenting could improve Fontan-associated liver disease in select individuals.
Collapse
Affiliation(s)
- Pradyumna Agasthi
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - C Charles Jain
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - Alexander C Egbe
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - Donald J Hagler
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA; Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Allison K Cabalka
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA; Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Nathaniel W Taggart
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA; Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Jason H Anderson
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA; Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Frank Cetta
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA; Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Heidi M Connolly
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Luke J Burchill
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - Patrick S Kamath
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - William R Miranda
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
| |
Collapse
|
10
|
Bell TR, Elman JA, Beck A, Fennema-Notestine C, Gustavson DE, Hagler DJ, Jak AJ, Lyons MJ, Puckett OK, Toomey R, Franz CE, Kremen WS. Rostral-middle locus coeruleus integrity and subjective cognitive decline in early old age. J Int Neuropsychol Soc 2023; 29:763-774. [PMID: 36524301 PMCID: PMC10272292 DOI: 10.1017/s1355617722000881] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Abnormal tau, a hallmark Alzheimer's disease (AD) pathology, may appear in the locus coeruleus (LC) decades before AD symptom onset. Reports of subjective cognitive decline are also often present prior to formal diagnosis. Yet, the relationship between LC structural integrity and subjective cognitive decline has remained unexplored. Here, we aimed to explore these potential associations. METHODS We examined 381 community-dwelling men (mean age = 67.58; SD = 2.62) in the Vietnam Era Twin Study of Aging who underwent LC-sensitive magnetic resonance imaging and completed the Everyday Cognition scale to measure subjective cognitive decline along with their selected informants. Mixed models examined the associations between rostral-middle and caudal LC integrity and subjective cognitive decline after adjusting for depressive symptoms, physical morbidities, and family. Models also adjusted for current objective cognitive performance and objective cognitive decline to explore attenuation. RESULTS For participant ratings, lower rostral-middle LC contrast to noise ratio (LCCNR) was associated with significantly greater subjective decline in memory, executive function, and visuospatial abilities. For informant ratings, lower rostral-middle LCCNR was associated with significantly greater subjective decline in memory only. Associations remained after adjusting for current objective cognition and objective cognitive decline in respective domains. CONCLUSIONS Lower rostral-middle LC integrity is associated with greater subjective cognitive decline. Although not explained by objective cognitive performance, such a relationship may explain increased AD risk in people with subjective cognitive decline as the LC is an important neural substrate important for higher order cognitive processing, attention, and arousal and one of the first sites of AD pathology.
Collapse
Affiliation(s)
- Tyler R. Bell
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093
| | - Jeremy A. Elman
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093
| | - Asad Beck
- Center for Neurotechnology, University of Washington, Seattle, WA, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093
- Department of Radiology, University of California San Diego, San Diego, La Jolla, CA, 92093
| | - Daniel E. Gustavson
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO
| | - Donald J. Hagler
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Department of Radiology, University of California San Diego, San Diego, La Jolla, CA, 92093
| | - Amy J. Jak
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093
| | - Michael J Lyons
- Department of Psychology, Boston University, Boston, MA, USA, 02215
| | - Olivia K. Puckett
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093
| | - Rosemary Toomey
- Department of Psychology, Boston University, Boston, MA, USA, 02215
| | - Carol E. Franz
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093
| | - William S. Kremen
- Department of Psychiatry, University of California San Diego, San Diego, La Jolla, CA, 92093
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, 92093
| |
Collapse
|
11
|
Makowski C, Brown TT, Zhao W, Hagler DJ, Parekh P, Garavan H, Nichols TE, Jernigan TL, Dale AM. Leveraging the Adolescent Brain Cognitive Development Study to improve behavioral prediction from neuroimaging in smaller replication samples. bioRxiv 2023:2023.06.16.545340. [PMID: 37398195 PMCID: PMC10312746 DOI: 10.1101/2023.06.16.545340] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Magnetic resonance imaging (MRI) is a popular and useful non-invasive method to map patterns of brain structure and function to complex human traits. Recently published observations in multiple large scale studies cast doubt upon these prospects, particularly for prediction of cognitive traits from structural and resting state functional MRI, which seems to account for little behavioral variability. We leverage baseline data from thousands of children in the Adolescent Brain Cognitive DevelopmentSM (ABCD®) Study to inform the replication sample size required with both univariate and multivariate methods across different imaging modalities to detect reproducible brain-behavior associations. We demonstrate that by applying multivariate methods to high-dimensional brain imaging data, we can capture lower dimensional patterns of structural and functional brain architecture that correlate robustly with cognitive phenotypes and are reproducible with only 41 individuals in the replication sample for working memory-related functional MRI, and ~100 subjects for structural MRI. Even with 100 random re-samplings of 50 subjects in the discovery sample, prediction can be adequately powered with 98 subjects in the replication sample for multivariate prediction of cognition with working memory task functional MRI. These results point to an important role for neuroimaging in translational neurodevelopmental research and showcase how findings in large samples can inform reproducible brain-behavior associations in small sample sizes that are at the heart of many investigators' research programs and grants.
Collapse
Affiliation(s)
- Carolina Makowski
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Timothy T Brown
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Weiqi Zhao
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, USA
- Department of Cognitive Science, University of California San Diego, La Jolla, California USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Pravesh Parekh
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
| | - Thomas E Nichols
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU
| | - Terry L Jernigan
- Department of Cognitive Science, University of California San Diego, La Jolla, California USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| |
Collapse
|
12
|
Williams ME, Elman JA, Bell TR, Dale AM, Eyler LT, Fennema-Notestine C, Franz CE, Gillespie NA, Hagler DJ, Lyons MJ, McEvoy LK, Neale MC, Panizzon MS, Reynolds CA, Sanderson-Cimino M, Kremen WS. Higher cortical thickness/volume in Alzheimer's-related regions: protective factor or risk factor? Neurobiol Aging 2023; 129:185-194. [PMID: 37343448 PMCID: PMC10676195 DOI: 10.1016/j.neurobiolaging.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/18/2023] [Accepted: 05/03/2023] [Indexed: 06/23/2023]
Abstract
Some evidence suggests a biphasic pattern of changes in cortical thickness wherein higher, rather than lower, thickness is associated with very early Alzheimer's disease (AD) pathology. We examined whether integrating information from AD brain signatures based on mean diffusivity (MD) can aid in the interpretation of cortical thickness/volume as a risk factor for future AD-related changes. Participants were 572 men in the Vietnam Era Twin Study of Aging who were cognitively unimpaired at baseline (mean age = 56 years; range = 51-60). Individuals with both high thickness/volume signatures and high MD signatures at baseline had lower cortical thickness/volume in AD signature regions and lower episodic memory performance 12 years later compared to those with high thickness/volume and low MD signatures at baseline. Groups did not differ in level of young adult cognitive reserve. Our findings are in line with a biphasic model in which increased cortical thickness may precede future decline and establish the value of examining cortical MD alongside cortical thickness to identify subgroups with differential risk for poorer brain and cognitive outcomes.
Collapse
Affiliation(s)
- McKenna E Williams
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
| | - Jeremy A Elman
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Tyler R Bell
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Carol E Franz
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Linda K McEvoy
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Matthew S Panizzon
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Mark Sanderson-Cimino
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - William S Kremen
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| |
Collapse
|
13
|
Williams ME, Gillespie NA, Bell TR, Dale AM, Elman JA, Eyler LT, Fennema-Notestine C, Franz CE, Hagler DJ, Lyons MJ, McEvoy LK, Neale MC, Panizzon MS, Reynolds CA, Sanderson-Cimino M, Kremen WS. Genetic and Environmental Influences on Structural and Diffusion-Based Alzheimer's Disease Neuroimaging Signatures Across Midlife and Early Old Age. Biol Psychiatry Cogn Neurosci Neuroimaging 2023; 8:918-927. [PMID: 35738479 PMCID: PMC9827615 DOI: 10.1016/j.bpsc.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/04/2022] [Accepted: 06/07/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Composite scores of magnetic resonance imaging-derived metrics in brain regions associated with Alzheimer's disease (AD), commonly termed AD signatures, have been developed to distinguish early AD-related atrophy from normal age-associated changes. Diffusion-based gray matter signatures may be more sensitive to early AD-related changes compared with thickness/volume-based signatures, demonstrating their potential clinical utility. The timing of early (i.e., midlife) changes in AD signatures from different modalities and whether diffusion- and thickness/volume-based signatures each capture unique AD-related phenotypic or genetic information remains unknown. METHODS Our validated thickness/volume signature, our novel mean diffusivity (MD) signature, and a magnetic resonance imaging-derived measure of brain age were used in biometrical analyses to examine genetic and environmental influences on the measures as well as phenotypic and genetic relationships between measures over 12 years. Participants were 736 men from 3 waves of the Vietnam Era Twin Study of Aging (VETSA) (baseline/wave 1: mean age [years] = 56.1, SD = 2.6, range = 51.1-60.2). Subsequent waves occurred at approximately 5.7-year intervals. RESULTS MD and thickness/volume signatures were highly heritable (56%-72%). Baseline MD signatures predicted thickness/volume signatures over a decade later, but baseline thickness/volume signatures showed a significantly weaker relationship with future MD signatures. AD signatures and brain age were correlated, but each measure captured unique phenotypic and genetic variance. CONCLUSIONS Cortical MD and thickness/volume AD signatures are heritable, and each signature captures unique variance that is also not explained by brain age. Moreover, results are in line with changes in MD emerging before changes in cortical thickness, underscoring the utility of MD as a very early predictor of AD risk.
Collapse
Affiliation(s)
- McKenna E Williams
- Center for Behavior Genetics of Aging, University of California San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California; Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California San Diego, San Diego, California.
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Tyler R Bell
- Center for Behavior Genetics of Aging, University of California San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California
| | - Anders M Dale
- Department of Radiology, University of California San Diego, San Diego, California; Department of Neuroscience, University of California San Diego, San Diego, California
| | - Jeremy A Elman
- Center for Behavior Genetics of Aging, University of California San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California
| | - Lisa T Eyler
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, California
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, San Diego, California; Department of Radiology, University of California San Diego, San Diego, California
| | - Carol E Franz
- Center for Behavior Genetics of Aging, University of California San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, San Diego, California
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
| | - Linda K McEvoy
- Department of Radiology, University of California San Diego, San Diego, California
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Matthew S Panizzon
- Center for Behavior Genetics of Aging, University of California San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, California
| | - Mark Sanderson-Cimino
- Center for Behavior Genetics of Aging, University of California San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California; Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California San Diego, San Diego, California
| | - William S Kremen
- Center for Behavior Genetics of Aging, University of California San Diego, San Diego, California; Department of Psychiatry, University of California San Diego, San Diego, California
| |
Collapse
|
14
|
Miranda WR, Jain CC, Burchill LJ, Cabalka AK, Hagler DJ, Francois CJ, Connolly HM, Egbe AC. Correlation Between Fontan Pathway Diameter and Inferior-Superior Vena Cava Gradients in Adults Undergoing Exercise Catheterization. Circ Cardiovasc Interv 2023; 16:e012493. [PMID: 37192313 DOI: 10.1161/circinterventions.122.012493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Affiliation(s)
- William R Miranda
- Department of Cardiovascular Medicine (W.R.M., C.C.J., L.J.B., D.J.H., H.M.C., A.C.E.), Mayo Clinic, Rochester, MN
| | - C Charles Jain
- Department of Cardiovascular Medicine (W.R.M., C.C.J., L.J.B., D.J.H., H.M.C., A.C.E.), Mayo Clinic, Rochester, MN
| | - Luke J Burchill
- Department of Cardiovascular Medicine (W.R.M., C.C.J., L.J.B., D.J.H., H.M.C., A.C.E.), Mayo Clinic, Rochester, MN
| | - Allison K Cabalka
- Division of Cardiology, Department of Pediatric and Adolescent Medicine (A.K.C., D.J.H.), Mayo Clinic, Rochester, MN
| | - Donald J Hagler
- Department of Cardiovascular Medicine (W.R.M., C.C.J., L.J.B., D.J.H., H.M.C., A.C.E.), Mayo Clinic, Rochester, MN
- Division of Cardiology, Department of Pediatric and Adolescent Medicine (A.K.C., D.J.H.), Mayo Clinic, Rochester, MN
| | | | - Heidi M Connolly
- Department of Cardiovascular Medicine (W.R.M., C.C.J., L.J.B., D.J.H., H.M.C., A.C.E.), Mayo Clinic, Rochester, MN
| | - Alexander C Egbe
- Department of Cardiovascular Medicine (W.R.M., C.C.J., L.J.B., D.J.H., H.M.C., A.C.E.), Mayo Clinic, Rochester, MN
| |
Collapse
|
15
|
Zhao W, Makowski C, Hagler DJ, Garavan HP, Thompson WK, Greene DJ, Jernigan TL, Dale AM. Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity. Neuroimage 2023; 270:119946. [PMID: 36801369 PMCID: PMC11037888 DOI: 10.1016/j.neuroimage.2023.119946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 02/08/2023] [Accepted: 02/15/2023] [Indexed: 02/18/2023] Open
Abstract
Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of behavior. Previous studies suggested that FC patterns derived from task fMRI paradigms, which we refer to as task-based FC, are better correlated with individual differences in behavior than resting-state FC, but the consistency and generalizability of this advantage across task conditions was not fully explored. Using data from resting-state fMRI and three fMRI tasks from the Adolescent Brain Cognitive Development Study ® (ABCD), we tested whether the observed improvement in behavioral prediction power of task-based FC can be attributed to changes in brain activity induced by the task design. We decomposed the task fMRI time course of each task into the task model fit (the fitted time course of the task condition regressors from the single-subject general linear model) and the task model residuals, calculated their respective FC, and compared the behavioral prediction performance of these FC estimates to resting-state FC and the original task-based FC. The FC of the task model fit was better than the FC of the task model residual and resting-state FC at predicting a measure of general cognitive ability or two measures of performance on the fMRI tasks. The superior behavioral prediction performance of the FC of the task model fit was content-specific insofar as it was only observed for fMRI tasks that probed similar cognitive constructs to the predicted behavior of interest. To our surprise, the task model parameters, the beta estimates of the task condition regressors, were equally if not more predictive of behavioral differences than all FC measures. These results showed that the observed improvement of behavioral prediction afforded by task-based FC was largely driven by the FC patterns associated with the task design. Together with previous studies, our findings highlighted the importance of task design in eliciting behaviorally meaningful brain activation and FC patterns.
Collapse
Affiliation(s)
- Weiqi Zhao
- Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA
| | - Carolina Makowski
- Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA; University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA
| | - Donald J Hagler
- University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA
| | | | | | - Deanna J Greene
- Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA
| | - Terry L Jernigan
- Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA; University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA; Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA; Department of Psychiatry, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| | - Anders M Dale
- Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA; Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA; Department of Neuroscience, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA; Department of Psychiatry, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA.
| |
Collapse
|
16
|
Agasthi P, Sridhara S, Rattanawong P, Venepally N, Chao CJ, Ashraf H, Pujari SH, Allam M, Almader-Douglas D, Alla Y, Kumar A, Mookadam F, Packer DL, Holmes DR, Hagler DJ, Fortuin FD, Arsanjani R. Safety and efficacy of balloon angioplasty compared to stent-based-strategies with pulmonary vein stenosis: A systematic review and meta-analysis. World J Cardiol 2023; 15:64-75. [PMID: 36911751 PMCID: PMC9993931 DOI: 10.4330/wjc.v15.i2.64] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/17/2022] [Accepted: 02/08/2023] [Indexed: 02/21/2023] Open
Abstract
BACKGROUND Pulmonary vein stenosis (PVS) is an uncommon but known cause of morbidity and mortality in adults and children and can be managed with percutaneous re-vascularization strategies of pulmonary vein balloon angioplasty (PBA) or pulmonary vein stent implantation (PSI).
AIM To study the safety and efficacy outcomes of PBA vs PSI in all patient categories with PVS.
METHODS We performed a literature search of all studies comparing outcomes of patients evaluated by PBA vs PSI for PVS. We selected all published studies comparing PBA vs PSI for PVS with reported outcomes of restenosis and procedure-related complications in all patient categories. In adults, PVS following atrial fibrillation ablation and in children PVS related to congenital etiology or post-procedural PVS following total or partial anomalous pulmonary venous return repair were included. The patient-centered outcomes were risk of restenosis requiring re-intervention and procedural-related complications. The meta-analysis was performed by computing odds ratios (ORs) using the random effects model based on underlying statistical heterogeneity.
RESULTS Eight observational studies treating 768 severe PVS in 487 patients met our inclusion criteria. The age range of patients was 6 months to 70 years and 67% were males. The primary outcome of the re-stenosis requiring re-intervention occurred in 196 of 325 veins in the PBA group and 111 of 443 veins in the PSI group. Compared to PSI, PBA was associated with a significantly increased risk of re-stenosis (OR 2.91, 95%CI: 1.15-7.37, P = 0.025, I2 = 79.2%). Secondary outcomes of the procedure-related complications occurred in 7 of 122 patients in the PBA group and 6 of 69 in the PSI group. There were no statistically significant differences in the safety outcomes between the two groups (OR: 0.94, 95%CI: 0.23-3.76, P = 0.929), I2 = 0.0%).
CONCLUSION Across all patient categories with PVS, PSI is associated with reduced risk of re-intervention and is as safe as PBA and should be considered first-line therapy for PVS.
Collapse
Affiliation(s)
- Pradyumna Agasthi
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Srilekha Sridhara
- Department of Internal Medicine, Banner Heart Hospital, Mesa, AZ 85054, United States
| | - Pattara Rattanawong
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Nithin Venepally
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Chieh-Ju Chao
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Hasan Ashraf
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Sai Harika Pujari
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Mohamed Allam
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | | | - Yamini Alla
- Department of Medicine, Bronx Lebanon Hospital, Bronx, NY 10457, United States
| | - Amit Kumar
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Farouk Mookadam
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Douglas L Packer
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, United States
| | - David R Holmes Jr
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, United States
| | - Donald J Hagler
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, United States
| | - Floyd David Fortuin
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| | - Reza Arsanjani
- Department of Cardiovascular Diseases, Mayo Clinic, Scottsdale, AZ 85259, United States
| |
Collapse
|
17
|
Morton SU, Norris-Brilliant A, Cunningham S, King E, Goldmuntz E, Brueckner M, Miller TA, Thomas NH, Liu C, Adams HR, Bellinger DC, Cleveland J, Cnota JF, Dale AM, Frommelt M, Gelb BD, Grant PE, Goldberg CS, Huang H, Kuperman JM, Li JS, McQuillen PS, Panigrahy A, Porter GA, Roberts AE, Russell MW, Seidman CE, Tivarus ME, Anagnoustou E, Hagler DJ, Chung WK, Newburger JW. Association of Potentially Damaging De Novo Gene Variants With Neurologic Outcomes in Congenital Heart Disease. JAMA Netw Open 2023; 6:e2253191. [PMID: 36701153 PMCID: PMC9880793 DOI: 10.1001/jamanetworkopen.2022.53191] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 12/01/2022] [Indexed: 01/27/2023] Open
Abstract
Importance Neurodevelopmental disabilities are commonly associated with congenital heart disease (CHD), but medical and sociodemographic factors explain only one-third of the variance in outcomes. Objective To examine whether potentially damaging de novo variants (dDNVs) in genes not previously linked to neurodevelopmental disability are associated with neurologic outcomes in CHD and, post hoc, whether some dDNVs or rare putative loss-of-function variants (pLOFs) in specific gene categories are associated with outcomes. Design, Setting, and Participants This cross-sectional study was conducted from September 2017 to June 2020 in 8 US centers. Inclusion criteria were CHD, age 8 years or older, and available exome sequencing data. Individuals with pathogenic gene variants in known CHD- or neurodevelopment-related genes were excluded. Cases and controls were frequency-matched for CHD class, age group, and sex. Exposures Heterozygous for (cases) or lacking (controls) dDNVs in genes not previously associated with neurodevelopmental disability. Participants were separately stratified as heterozygous or not heterozygous for dDNVs and/or pLOFs in 4 gene categories: chromatin modifying, constrained, high level of brain expression, and neurodevelopmental risk. Main Outcomes and Measures Main outcomes were neurodevelopmental assessments of academic achievement, intelligence, fine motor skills, executive function, attention, memory, social cognition, language, adaptive functioning, and anxiety and depression, as well as 7 structural, diffusion, and functional brain magnetic resonance imaging metrics. Results The study cohort included 221 participants in the post hoc analysis and 219 in the case-control analysis (109 cases [49.8%] and 110 controls [50.2%]). Of those 219 participants (median age, 15.0 years [IQR, 10.0-21.2 years]), 120 (54.8%) were male. Cases and controls had similar primary outcomes (reading composite, spelling, and math computation on the Wide Range Achievement Test, Fourth Edition) and secondary outcomes. dDNVs and/or pLOFs in chromatin-modifying genes were associated with lower mean (SD) verbal comprehension index scores (91.4 [20.4] vs 103.4 [17.8]; P = .01), Social Responsiveness Scale, Second Edition, scores (57.3 [17.2] vs 49.4 [11.2]; P = .03), and Wechsler Adult Intelligence Scale, Fourth Edition, working memory scores (73.8 [16.4] vs 97.2 [15.7]; P = .03), as well as higher likelihood of autism spectrum disorder (28.6% vs 5.2%; P = .01). dDNVs and/or pLOFs in constrained genes were associated with lower mean (SD) scores on the Wide Range Assessment of Memory and Learning, Second Edition (immediate story memory: 9.7 [3.7] vs 10.7 [3.0]; P = .03; immediate picture memory: 7.8 [3.1] vs 9.0 [2.9]; P = .008). Adults with dDNVs and/or pLOFs in genes with a high level of brain expression had greater Conners adult attention-deficit hyperactivity disorder rating scale scores (mean [SD], 55.5 [15.4] vs 46.6 [12.3]; P = .007). Conclusions and Relevance The study findings suggest neurodevelopmental outcomes are not associated with dDNVs as a group but may be worse in individuals with dDNVs and/or pLOFs in some gene sets, such as chromatin-modifying genes. Future studies should confirm the importance of specific gene variants to brain function and structure.
Collapse
Affiliation(s)
- Sarah U. Morton
- Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Department of Genetics, Harvard Medical School, Boston, Massachusetts
| | - Ami Norris-Brilliant
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Sean Cunningham
- Department of Pediatrics, Division of General Pediatrics, University of Utah, Salt Lake City
| | - Eileen King
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Elizabeth Goldmuntz
- Division of Cardiology, Children’s Hospital of Philadelphia, Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Martina Brueckner
- Departments of Genetics and Pediatrics, Yale University School of Medicine, New Haven, Connecticut
| | - Thomas A. Miller
- Department of Pediatrics, Primary Children’s Hospital, University of Utah, Salt Lake City
- Division of Pediatric Cardiology, Maine Medical Center, Portland
| | - Nina H. Thomas
- Department of Child and Adolescent Psychiatry and Behavioral Sciences and Center for Human Phenomic Science, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - Chunyan Liu
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Heather R. Adams
- Departments of Neurology and Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - David C. Bellinger
- Departments of Neurology and Psychiatry, Boston Children’s Hospital, Boston, Massachusetts
- Departments of Neurology and Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - John Cleveland
- Departments of Surgery and Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles
| | - James F. Cnota
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
- Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Anders M. Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla
- Department of Radiology, School of Medicine, University of California San Diego, La Jolla
- Departments of Cognitive Science and Neuroscience, University of California San Diego, La Jolla
| | - Michele Frommelt
- Department of Pediatrics, Medical College of Wisconsin, Milwaukee
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - P. Ellen Grant
- Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Department of Radiology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Radiology, Harvard Medical School, Boston, Massachusetts
| | - Caren S. Goldberg
- Department of Pediatrics, C.S. Mott Children’s Hospital, University of Michigan, Ann Arbor
| | - Hao Huang
- Department of Radiology, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia
| | - Joshua M. Kuperman
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla
- Department of Radiology, School of Medicine, University of California San Diego, La Jolla
- Departments of Cognitive Science and Neuroscience, University of California San Diego, La Jolla
| | - Jennifer S. Li
- Division of Pediatric Cardiology, Duke University, Durham, North Carolina
| | - Patrick S. McQuillen
- Departments of Pediatrics and Neurology, University of California, San Francisco
| | - Ashok Panigrahy
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - George A. Porter
- Departments of Neurology and Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Amy E. Roberts
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, Massachusetts
| | - Mark W. Russell
- Department of Pediatrics, C.S. Mott Children’s Hospital, University of Michigan, Ann Arbor
| | - Christine E. Seidman
- Department of Genetics, Harvard Medical School, Boston, Massachusetts
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts
- Howard Hughes Medical Institute, Chevy Chase, Maryland
| | - Madalina E. Tivarus
- Departments of Imaging Sciences and Neuroscience, University of Rochester Medical Center, Rochester, New York
| | - Evdokia Anagnoustou
- Department of Pediatrics, University of Toronto, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Donald J. Hagler
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla
- Department of Radiology, School of Medicine, University of California San Diego, La Jolla
- Departments of Cognitive Science and Neuroscience, University of California San Diego, La Jolla
| | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, New York
| | - Jane W. Newburger
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
| |
Collapse
|
18
|
Miranda WR, Borlaug BA, Jain CC, Anderson JH, Hagler DJ, Connolly HM, Egbe AC. Exercise-induced changes in pulmonary artery wedge pressure in adults post-Fontan versus heart failure with preserved ejection fraction and non-cardiac dyspnoea. Eur J Heart Fail 2023; 25:17-25. [PMID: 36194660 PMCID: PMC9910162 DOI: 10.1002/ejhf.2706] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 09/04/2022] [Accepted: 09/29/2022] [Indexed: 02/01/2023] Open
Abstract
AIMS Despite their universal predisposition, diagnosing diastolic dysfunction in patients post-Fontan palliation is challenging. Our aim was to compare exercise haemodynamics between adults post-Fontan and patients with heart failure with preserved ejection fraction (HFpEF) and non-cardiac dyspnoea (NCD). METHODS AND RESULTS Twenty-four adults (age ≥18 years) post-Fontan palliation with resting and exercise pulmonary artery wedge pressure (PAWP) measured during supine biking were identified. Forty-eight patients with HFpEF and 48 with NCD diagnosed at catheterization were selected for comparison. Mean age for Fontan patients was 30.3 ± 7.5 years; median ventricular ejection fraction was 52.5% (45-55.8), being <50% in 37.5%. Resting PAWP among Fontan patients was 10.2 ± 3.5 mmHg (>12 mmHg in 25%); PAWP was lower in Fontan patients than in HFpEF but higher than NCD. During exercise, PAWP was lower in the Fontan group than HFpEF (22.5 mmHg [19.3-28] vs. 28.2 ± 6.3; p = 0.0006) but higher than NCD (11.2 ± 4.2, p ≤ 0.0001). However, there were no differences in ΔPAWP/ΔQs between Fontan and HFpEF patients (4.0 [2.1-7.3] vs. 2.7 [1.6-4.4]; p = 0.10) with the ratio being higher post-Fontan than in NCD (0.6 [0.2-1.2]; p < 0.0001). ΔPAWP/ΔQs remained similar between HFpEF and Fontan patients even when those with ejection fraction <50% were excluded (2.7 [1.6-4.4] vs. 2.7 [1.0-5.8]; p = 0.97). CONCLUSION There were no differences in ΔPAWP/ΔQs ratios between post-Fontan and HFpEF patients, supporting markedly abnormal single ventricle compliance despite lower resting and exercise PAWP. Therefore, exercise invasive haemodynamics may represent a novel tool for the diagnosis of diastolic dysfunction in Fontan patients.
Collapse
Affiliation(s)
| | - Barry A. Borlaug
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - C. Charles Jain
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Donald J. Hagler
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Division of Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
| | | | | |
Collapse
|
19
|
Franz CE, Gustavson DE, Elman JA, Fennema-Notestine C, Hagler DJ, Baraff A, Tu XM, Wu TC, DeAnda J, Beck A, Kaufman JD, Whitsel N, Finch CE, Chen JC, Lyons MJ, Kremen WS. Associations Between Ambient Air Pollution and Cognitive Abilities from Midlife to Early Old Age: Modification by APOE Genotype. J Alzheimers Dis 2023; 93:193-209. [PMID: 36970897 PMCID: PMC10827529 DOI: 10.3233/jad-221054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
BACKGROUND Fine particulate matter (PM2.5) and nitrogen dioxide (NO2) measures of ambient air pollution are associated with accelerated age-related cognitive impairment, and Alzheimer's disease and related dementias (ADRD). OBJECTIVE We examined associations between air pollution, four cognitive factors, and the moderating role of apolipoprotein E (APOE) genotype in the understudied period of midlife. METHODS Participants were ∼1,100 men in the Vietnam Era Twin Study of Aging. Baseline cognitive assessments were from 2003 to 2007. Measures included past (1993-1999) and recent (3 years prior to baseline assessment) PM2.5 and NO2 exposure, in-person assessment of episodic memory, executive function, verbal fluency, and processing speed, and APOE genotype. Average baseline age was 56 years with a 12-year follow-up. Analyses adjusted for health and lifestyle covariates. RESULTS Performance in all cognitive domains declined from age 56 to 68. Higher PM2.5 exposures were associated with worse general verbal fluency. We found significant exposure-by-APOE genotype interactions for specific cognitive domains: PM2.5 with executive function and NO2 with episodic memory. Higher PM2.5 exposure was related to worse executive function in APOE ɛ4 carriers, but not in non-carriers. There were no associations with processing speed. CONCLUSION These results indicate negative effects of ambient air pollution exposure on fluency alongside intriguing differential modifications of cognitive performance by APOE genotype. APOE ɛ4 carriers appeared more sensitive to environmental differences. The process by which air pollution and its interaction with genetic risk for ADRD affects risk for later life cognitive decline or progression to dementia may begin in midlife.
Collapse
Affiliation(s)
- Carol E. Franz
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
| | - Daniel E. Gustavson
- Institute for Behavior Genetics, University of Colorado Boulder, Boulder, CO
| | - Jeremy A. Elman
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
| | - Christine Fennema-Notestine
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
- Department of Radiology, University of California, San Diego, La Jolla, CA
| | - Donald J. Hagler
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
- Department of Radiology, University of California, San Diego, La Jolla, CA
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Aaron Baraff
- Vietnam Era Twin Registry, VA Puget Sound Health Care, Seattle, WA
| | - Xin M. Tu
- Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego, CA
| | - Tsung-Chin Wu
- Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego, CA
| | - Jaden DeAnda
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
- Department of Psychology, San Diego State University, San Diego, CA
| | - Asad Beck
- Graduate Program in Neuroscience, University of Washington, Seattle, WA
| | - Joel D. Kaufman
- Epidemiology, Environmental and Occupational Health Sciences, and General Internal Medicine, University of Washington, Seattle, WA
| | - Nathan Whitsel
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
| | - Caleb E. Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - William S. Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
| |
Collapse
|
20
|
McEvoy LK, Bergstrom J, Hagler DJ, Wing D, Reas ET. Elevated Pure Tone Thresholds Are Associated with Altered Microstructure in Cortical Areas Related to Auditory Processing and Attentional Allocation. J Alzheimers Dis 2023; 96:1163-1172. [PMID: 37955091 PMCID: PMC10793660 DOI: 10.3233/jad-230767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
BACKGROUND Hearing loss is associated with cognitive decline and increased risk for Alzheimer's disease, but the basis of this association is not understood. OBJECTIVE To determine whether hearing impairment is associated with advanced brain aging or altered microstructure in areas involved with auditory and cognitive processing. METHODS 130 participants, (mean 76.4±7.3 years; 65% women) of the Rancho Bernardo Study of Healthy Aging had a screening audiogram in 2003-2005 and brain magnetic resonance imaging in 2014-2016. Hearing ability was defined as the average pure tone threshold (PTA) at 500, 1000, 2000, and 4000 Hz in the better-hearing ear. Brain-predicted age difference (Brain-pad) was calculated as the difference between brain-predicted age based on a validated structural imaging biomarker of brain age, and chronological age. Regional diffusion metrics in temporal and frontal cortex regions were obtained from diffusion-weighted MRIs. Linear regression analyses adjusted for age, gender, education, and health-related measures. RESULTS PTAs were not associated with brain-PAD (β= 0.09; 95% CI: -0.084 to 0.243; p = 0.34). PTAs were associated with reduced restricted diffusion and increased free water diffusion primarily in right hemisphere temporal and frontal areas (restricted diffusion: βs = -0.21 to -0.30; 95% CIs from -0.48 to -0.02; ps < 0.03; free water: βs = 0.18 to 0.26; 95% CIs 0.01 to 0.438; ps < 0.04). CONCLUSIONS Hearing impairment is not associated with advanced brain aging but is associated with differences in brain regions involved with auditory processing and attentional control. It is thus possible that increased dementia risk associated with hearing impairment arises, in part, from compensatory brain changes that may decrease resilience.
Collapse
Affiliation(s)
- Linda K McEvoy
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, USA
| | - Jaclyn Bergstrom
- Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - David Wing
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, USA
| | - Emilie T Reas
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA
| |
Collapse
|
21
|
Tang R, Elman JA, Franz CE, Hagler DJ, Puckett OK, Kremen WS. Brain Controllability of Cognitive Control Networks is Associated with Executive Functions in Older Adults. Alzheimers Dement 2022. [DOI: 10.1002/alz.060583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | | | | | | | - William S. Kremen
- University of California, San Diego La Jolla CA USA
- VA San Diego Healthcare System San Diego CA USA
| |
Collapse
|
22
|
Gustavson DE, Archer DB, Elman JA, Fennema‐Notestine C, Hagler DJ, Panizzon MS, Shashikumar N, Hohman TJ, Jefferson AL, Lyons MJ, Franz CE, Kremen WS. Executive Functions and Episodic Memory are Associated with Extracellular White Matter Microstructure in Early Old Age. Alzheimers Dement 2022. [DOI: 10.1002/alz.062268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Daniel E. Gustavson
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | - Derek B Archer
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | | | | | | | | | - Niranjana Shashikumar
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center Nashville TN USA
| | - Timothy J. Hohman
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt University Nashville TN USA
| | - Angela L. Jefferson
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt University Nashville TN USA
| | | | | | - William S. Kremen
- University of California, San Diego La Jolla CA USA
- VA San Diego Healthcare System San Diego CA USA
| |
Collapse
|
23
|
Martín de Miguel I, Jain CC, Egbe AC, Hagler DJ, Connolly HM, Miranda WR. Surgical Repair of Truncus Arteriosus: A Long-Term Hemodynamic Assessment. World J Pediatr Congenit Heart Surg 2022; 13:716-722. [DOI: 10.1177/21501351221114779] [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] [Indexed: 11/15/2022]
Abstract
Background: Unrepaired truncus arteriosus (TA) carries poor prognosis due to complications of unrestricted pulmonary flow, truncal valve insufficiency, and pulmonary vascular disease. Currently, the hemodynamic profile of adults late after TA repair is unknown. We reviewed the hemodynamics, prevalence, and pathophysiology of pulmonary hypertension (PH) in this population. Methods: Eighteen adult patients with repaired TA who underwent cardiac catheterization at Mayo Clinic, MN, between 1997 and 2021 were identified. PH was defined as either precapillary (mean pulmonary artery pressure [mPAP] ≥25 mm Hg, pulmonary artery wedge pressure [PAWP] ≤15 mm Hg, and pulmonary vascular resistance [PVR] >3 Wood units), isolated postcapillary (mPAP ≥25, PAWP >15, PVR ≤3), or combined (mPAP ≥25, PAWP >15, and PVR >3). Diastolic pressure and transpulmonary gradients were used as ancillary data for classification. Results: Mean age at catheterization was 34 ± 10 years. Mean right ventricular (RV) systolic pressure was 82 ± 22.6 mm Hg, mean right and left mPAPs 28.1 ± 16.2 and 27.9 ± 11.9 mm Hg, respectively. Seven patients (41.2%) had PAWP >15 mm Hg and, among those undergoing arterial catheterization, 7 (53.8%) had a left ventricular (LV) end-diastolic pressure >15 mm Hg. PH was diagnosed in 13 patients (72.2%): 6 (33.3%) precapillary, 4 (22.2%) isolated postcapillary, and 3 (16.7%) combined. PAWP >15 mm Hg was associated with male sex ( P = .049), <moderate RV dysfunction ( P = .049), and lesser RV conduit mean systolic gradient ( P = .02). Patients with PH with precapillary component were older at catheterization ( P = .046). Conclusions: In adults with repaired TA, precapillary PH was only present in one-third of patients with mPAPs not significantly increased in most, whereas elevated PAWP and left-heart disease were common.
Collapse
Affiliation(s)
| | - C. Charles Jain
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Alexander C. Egbe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Donald J. Hagler
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Heidi M. Connolly
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | |
Collapse
|
24
|
Tang R, Elman JA, Franz CE, Dale AM, Eyler LT, Fennema-Notestine C, Hagler DJ, Lyons MJ, Panizzon MS, Puckett OK, Kremen WS. Longitudinal association of executive function and structural network controllability in the aging brain. GeroScience 2022; 45:837-849. [PMID: 36269506 PMCID: PMC9886719 DOI: 10.1007/s11357-022-00676-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/12/2022] [Indexed: 02/03/2023] Open
Abstract
Executive function encompasses effortful cognitive processes that are particularly susceptible to aging. Functional brain networks supporting executive function-such as the frontoparietal control network and the multiple demand system-have been extensively investigated. However, it remains unclear how structural networks facilitate and constrain the dynamics of functional networks to contribute to aging-related executive function declines. We examined whether changes in structural network modal controllability-a network's ability to facilitate effortful brain state transitions that support cognitive functions-are associated with changes in executive function cross-sectionally and longitudinally. Diffusion-weighted imaging and neuropsychological testing were conducted at two time points (Time 1: ages 56 to 66, N = 172; Time 2: ages 61 to 70, N = 267) in community-dwelling men from the Vietnam Era Twin Study of Aging. An executive function factor score was computed from six neuropsychological tasks. Structural networks constructed from white matter connectivity were used to estimate modal controllability in control network and multiple demand system. We showed that higher modal controllability in control network and multiple demand system was associated with better executive function at Time 2, after controlling for age, young adult general cognitive ability, and physical health status. Moreover, changes in executive function over a period of 5 to 6 years (Time 1-Time 2, N = 105) were associated with changes in modal controllability of the multiple demand system and weakly in the control network over the same time period. These findings suggest that changes in the ability of structural brain networks in facilitating effortful brain state transitions may be a key neural mechanism underlying aging-related executive function declines and cognitive aging.
Collapse
Affiliation(s)
- Rongxiang Tang
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA. .,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
| | - Jeremy A. Elman
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - Carol E. Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - Anders M. Dale
- Department of Radiology, University of California San Diego, La Jolla, CA 92093 USA ,Department of Neurosciences, University of California San Diego, La Jolla, CA 92093 USA
| | - Lisa T. Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA 92093 USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Department of Radiology, University of California San Diego, La Jolla, CA 92093 USA
| | - Donald J. Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA 92093 USA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02212 USA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - Olivia K. Puckett
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - William S. Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093 USA ,Center for Behavior Genetics of Aging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| |
Collapse
|
25
|
Garavan H, Chaarani B, Hahn S, Allgaier N, Juliano A, Yuan DK, Orr C, Watts R, Wager TD, Ruiz de Leon O, Hagler DJ, Potter A. The ABCD stop signal data: Response to Bissett et al. Dev Cogn Neurosci 2022; 57:101144. [PMID: 35987133 PMCID: PMC9411576 DOI: 10.1016/j.dcn.2022.101144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/12/2022] [Accepted: 08/04/2022] [Indexed: 11/03/2022] Open
Abstract
This paper responds to a recent critique by Bissett et al. of the fMRI Stop task used in the Adolescent Brain Cognitive Development℠ Study (ABCD Study®). The critique focuses primarily on a task design feature related to race model assumptions (i.e., that the Go and Stop processes are fully independent). In response, we note that the race model is quite robust against violations of its assumptions. Most importantly, while Bissett raises conceptual concerns with the task we focus here on analyzes of the task data and conclude that the concerns appear to have minimal impact on the neuroimaging data (the validity of which do not rely on race model assumptions) and have far less of an impact on the performance data than the critique suggests. We note that Bissett did not apply any performance-based exclusions to the data they analyzed, a number of the trial coding errors they flagged were already identified and corrected in ABCD annual data releases, a number of their secondary concerns reflect sensible design decisions and, indeed, their own computational modeling of the ABCD Stop task suggests the problems they identify have just a modest impact on the rank ordering of individual differences in subject performance.
Collapse
Affiliation(s)
- H Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - B Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Hahn
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - N Allgaier
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A Juliano
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D K Yuan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - C Orr
- Department of Psychology, Swinburne University, Melbourne, Australia
| | - R Watts
- School of Medicine, Yale University, New Haven, CT, USA
| | - T D Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - O Ruiz de Leon
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - D J Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - A Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| |
Collapse
|
26
|
Elman JA, Puckett OK, Hagler DJ, Pearce RC, Fennema-Notestine C, Hatton SN, Lyons MJ, McEvoy LK, Panizzon MS, Reas ET, Dale AM, Franz CE, Kremen WS. Associations between MRI-assessed locus coeruleus integrity and cortical gray matter microstructure. Cereb Cortex 2022; 32:4191-4203. [PMID: 34969072 PMCID: PMC9528780 DOI: 10.1093/cercor/bhab475] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/17/2021] [Accepted: 11/22/2021] [Indexed: 01/27/2023] Open
Abstract
The locus coeruleus (LC) is one of the earliest sites of tau pathology, making it a key structure in early Alzheimer's disease (AD) progression. As the primary source of norepinephrine for the brain, reduced LC integrity may have negative consequences for brain health, yet macrostructural brain measures (e.g. cortical thickness) may not be sensitive to early stages of neurodegeneration. We therefore examined whether LC integrity was associated with differences in cortical gray matter microstructure among 435 men (mean age = 67.5; range = 62-71.7). LC structural integrity was indexed by contrast-to-noise ratio (LCCNR) from a neuromelanin-sensitive MRI scan. Restriction spectrum imaging (RSI), an advanced multi-shell diffusion technique, was used to characterize cortical microstructure, modeling total diffusion in restricted, hindered, and free water compartments. Higher LCCNR (greater integrity) was associated with higher hindered and lower free water diffusion in multiple cortical regions. In contrast, no associations between LCCNR and cortical thickness survived correction. Results suggest lower LC integrity is associated with patterns of cortical microstructure that may reflect a reduction in cytoarchitectural barriers due to broader neurodegenerative processes. These findings highlight the potential utility for LC imaging and advanced diffusion measures of cortical microstructure in assessing brain health and early identification of neurodegenerative processes.
Collapse
Affiliation(s)
- Jeremy A Elman
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
| | - Olivia K Puckett
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Rahul C Pearce
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Sean N Hatton
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA
| | - Linda K McEvoy
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
| | - Emilie T Reas
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Health Care System, La Jolla, CA 92161, USA
| |
Collapse
|
27
|
Agasthi P, Stephens EH, Miranda WR, Anderson JH, Hagler DJ. Challenging Case of Hybrid Transcatheter Pulmonary Baffle Stent Implantation. J Invasive Cardiol 2022; 34:E690-E691. [PMID: 36076323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
A 44-year-old man with history of D-transposition of the great arteries status post Mustard repair with pulmonary baffle obstruction was referred for further management. Cardiac computed tomography demonstrated calcific stenosis of the pulmonary venous baffle (PVB) outflow and right heart catheterization demonstrated elevated superior vena cava, pulmonary artery, and pulmonary capillary wedge pressures. A course of treatment is described demonstrating the challenges and potential complications of hybrid PVB stenting in a patient with challenging anatomy.
Collapse
|
28
|
Miranda WR, Aboulhosn JA, Hagler DJ. Catheterization in Adults With Congenital Heart Disease: A Primer for the Noncongenital Proceduralist. JACC Cardiovasc Interv 2022; 15:907-921. [PMID: 35512915 DOI: 10.1016/j.jcin.2021.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 12/08/2021] [Accepted: 12/14/2021] [Indexed: 11/18/2022]
Abstract
Currently in the United States, more than 1 million adults have congenital heart disease. Therefore, it will be inevitable for providers performing cardiac catheterization to be faced with adults with repaired congenital heart abnormalities. Moreover, a meticulous approach to every cardiac catheterization procedure is mandatory to avoid missing unrecognized congenital lesions presenting in adulthood. The authors provide a primer for cardiac catheterization procedures in adults with congenital heart disease, reviewing key procedural components: flow calculation, detection of shunts according to different lesions, and, when indicated, ventricular angiography and coronary angiography.
Collapse
Affiliation(s)
- William R Miranda
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
| | - Jamil A Aboulhosn
- Division of Adult Cardiology, Ahmanson/UCLA Adult Congenital Heart Disease Center, Los Angeles, California, USA
| | - Donald J Hagler
- Division of Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| |
Collapse
|
29
|
Fan CC, Loughnan R, Makowski C, Pecheva D, Chen CH, Hagler DJ, Thompson WK, Parker N, van der Meer D, Frei O, Andreassen OA, Dale AM. Multivariate genome-wide association study on tissue-sensitive diffusion metrics highlights pathways that shape the human brain. Nat Commun 2022; 13:2423. [PMID: 35505052 PMCID: PMC9065144 DOI: 10.1038/s41467-022-30110-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 04/12/2022] [Indexed: 11/12/2022] Open
Abstract
The molecular determinants of tissue composition of the human brain remain largely unknown. Recent genome-wide association studies (GWAS) on this topic have had limited success due to methodological constraints. Here, we apply advanced whole-brain analyses on multi-shell diffusion imaging data and multivariate GWAS to two large scale imaging genetic datasets (UK Biobank and the Adolescent Brain Cognitive Development study) to identify and validate genetic association signals. We discover 503 unique genetic loci that have impact on multiple regions of human brain. Among them, more than 79% are validated in either of two large-scale independent imaging datasets. Key molecular pathways involved in axonal growth, astrocyte-mediated neuroinflammation, and synaptogenesis during development are found to significantly impact the measured variations in tissue-specific imaging features. Our results shed new light on the biological determinants of brain tissue composition and their potential overlap with the genetic basis of neuropsychiatric disorders.
Collapse
Affiliation(s)
- Chun Chieh Fan
- Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA, USA. .,Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA. .,Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
| | - Robert Loughnan
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - Carolina Makowski
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Diliana Pecheva
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Chi-Hua Chen
- Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Wesley K Thompson
- Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Nadine Parker
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dennis van der Meer
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Oleksandr Frei
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA, USA.,Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA.,Department of Neuroscience, University of California, San Diego, La Jolla, CA, USA
| |
Collapse
|
30
|
Miranda WR, Hagler DJ, Connolly HM, Kamath PS, Egbe AC. Invasive Hemodynamics in Asymptomatic Adult Fontan Patients and According to Different Clinical Phenotypes. J Invasive Cardiol 2022; 34:E374-E379. [PMID: 35302948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND The correlation between hemodynamics and clinical phenotypes/symptoms in adults post Fontan procedure has not been well studied. Moreover, the "expected" hemodynamics in those who are asymptomatic remain unclear. METHODS This retrospective cohort included 155 adult patients post Fontan undergoing right and left cardiac catheterization between December 1999 and November 2017. Patients were categorized according to the primary indication for cardiac catheterization/clinical status, ie, fluid overload, atrial arrhythmia, exercise intolerance, abnormal liver imaging (in the absence of other indications), or asymptomatic. Underlying hemodynamics and survival were compared. RESULTS Primary indications for cardiac catheterization were atrial arrhythmias in 49, fluid overload in 44, exercise intolerance in 37, and abnormal liver imaging in 13 patients; 12 patients were asymptomatic. The fluid overload and abnormal liver imaging groups had the highest median Fontan pressures, at 17 mm Hg (interquartile range [IQR], 14-21.8) and 17 mm Hg (IQR, 12.5-17), respectively. Among asymptomatic patients, median pulmonary artery wedge pressure was 8 mm Hg (IQR, 6-11.8) and median Fontan pressure was 13 mm Hg (IQR, 12-14.5). There was no difference in the prevalence of abnormalities of the Fontan circuit or ≥ moderate valvular regurgitation among groups. During a median follow-up of 5.3 years (IQR, 1.4-9.4), there were 48 deaths. Survival was the lowest in patients presenting with fluid overload (5-year survival, 55.6%); there were no deaths among asymptomatic patients. CONCLUSION Asymptomatic adult Fontan patients typically have ventricular filling pressures <10 mm Hg and Fontan pressures <15 mm Hg and demonstrate excellent prognosis. Indication for catheterization predicted survival among our adult Fontan patients; the worst prognosis was noted among those presenting with fluid overload.
Collapse
Affiliation(s)
- William R Miranda
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First St SW, Rochester, MN 55905 USA.
| | | | | | | | | |
Collapse
|
31
|
Gillespie NA, Hatton SN, Hagler DJ, Dale AM, Elman JA, McEvoy LK, Eyler LT, Fennema-Notestine C, Logue MW, McKenzie RE, Puckett OK, Tu XM, Whitsel N, Xian H, Reynolds CA, Panizzon MS, Lyons MJ, Neale MC, Kremen WS, Franz C. The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years. Front Aging Neurosci 2022; 14:831002. [PMID: 35493948 PMCID: PMC9051484 DOI: 10.3389/fnagi.2022.831002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 03/15/2022] [Indexed: 01/27/2023] Open
Abstract
Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimer's Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise, the degree to which genetic influences in PBA are longitudinally stable and how PBA changes over time are also unknown. We analyzed data from 734 men from the Vietnam Era Twin Study of Aging with repeated MRI assessments between the ages 51-72 years. Biometrical genetic analyses "twin models" revealed significant and highly correlated estimates of additive genetic heritability ranging from 59 to 75%. Multivariate longitudinal modeling revealed that covariation between PBA at different timepoints could be explained by a single latent factor with 73% heritability. Our results suggest that genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and are largely explained by common genetic influences.
Collapse
Affiliation(s)
- Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States,QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,*Correspondence: Nathan A. Gillespie,
| | - Sean N. Hatton
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States,Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Donald J. Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
| | - Anders M. Dale
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States,Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, United States,Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA, United States
| | - Jeremy A. Elman
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
| | - Linda K. McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, United States
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Department of Radiology, University of California, San Diego, La Jolla, CA, United States
| | - Mark W. Logue
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, United States,Department of Psychiatry and Biomedical Genetics Section, Boston University School of Medicine, Boston, MA, United States,Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Ruth E. McKenzie
- Department of Psychology, Boston University, Boston, MA, United States,School of Education and Social Policy, Merrimack College, North Andover, MA, United States
| | - Olivia K. Puckett
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
| | - Xin M. Tu
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States,Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Nathan Whitsel
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
| | - Hong Xian
- Department of Epidemiology and Biostatistics, Saint. Louis University, St. Louis, MO, United States,Research Service, VA St. Louis Healthcare System, St. Louis, MO, United States
| | - Chandra A. Reynolds
- Department of Psychology, University of California, Riverside, Riverside, CA, United States
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
| | - Michael C. Neale
- Virginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States,Department of Biological Psychology, Free University of Amsterdam, Amsterdam, Netherlands
| | - William S. Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, United States,William S. Kremen,
| | - Carol Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States,Carol Franz,
| |
Collapse
|
32
|
Hagler DJ, Thompson WK, Chen CH, Reuter C, Akshoomoff N, Brown TT. Do aggregate, multimodal structural neuroimaging measures replicate regional developmental differences observed in highly cited cellular histological studies? Dev Cogn Neurosci 2022; 54:101086. [PMID: 35220023 PMCID: PMC8889098 DOI: 10.1016/j.dcn.2022.101086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 02/05/2022] [Accepted: 02/16/2022] [Indexed: 11/20/2022] Open
Abstract
Influential investigations of postmortem human brain tissue showed regional differences in tissue properties at early phases of development, such as between prefrontal and primary sensory cortical regions. Large-scale neuroimaging studies enable characterization of age-related trajectories with much denser sampling of cortical regions, assessment ages, and demographic variables than postmortem tissue analyses, but no single imaging measure perfectly captures what is measured with histology. Using publicly available data from the Pediatric Imaging, Neurocognition, and Genetics (PING) study, including 951 participants with ages ranging from 3 to 21 years, we characterized cortical regional variability in developmental trajectories of multimodal brain imaging measures. Multivariate analyses integrated morphometric and microstructural cortical surface measures. To replicate foundational histological work showing delayed synapse elimination in middle frontal gyrus relative to primary sensory areas, we tested whether developmental trajectories differ between prefrontal and visual or auditory cortex. We extended this to a whole-cortex analysis of interregional differences, producing cortical parcellations with maximally different developmental trajectories. Consistent with the general conclusions of postmortem analyses, our imaging results suggest that prefrontal regions show a protracted period of greater developmental change; however, they also illustrate the challenges of drawing conclusions about the relative maturational phases of different brain regions. Multimodal, multivariate, nonlinear modeling, integrating morphometric and microstructural measures. Tested regional developmental differences previously found in highly influential cellular histological studies. Produced cortical parcellations with maximally different, multimodal, developmental trajectories. Findings converge with evidence from histological studies showing delayed prefrontal cortical development. Interregional differences vary by measure and illustrate complexities of defining which regions mature first.
Collapse
|
33
|
Palmer CE, Pecheva D, Iversen JR, Hagler DJ, Sugrue L, Nedelec P, Fan CC, Thompson WK, Jernigan TL, Dale AM. Corrigendum to "Microstructural development from 9 to 14 years: Evidence from the ABCD Study" [Dev. Cognit. Neurosci. 53 (2022) 101044]. Dev Cogn Neurosci 2022; 54:101063. [PMID: 35034850 PMCID: PMC9019833 DOI: 10.1016/j.dcn.2022.101063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Clare E Palmer
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA.
| | - Diliana Pecheva
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA; Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| | - John R Iversen
- Institute for Neural Computation, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA; Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| | - Leo Sugrue
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Pierre Nedelec
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Chun Chieh Fan
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA
| | - Wesley K Thompson
- Division of Biostatistics, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Terry L Jernigan
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA; Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA; Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA; Department of Psychiatry, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA; Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA; Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA; Department of Neuroscience, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| |
Collapse
|
34
|
Whitsel N, Reynolds CA, Buchholz EJ, Pahlen S, Pearce RC, Hatton SN, Elman JA, Gillespie NA, Gustavson DE, Puckett OK, Dale AM, Eyler LT, Fennema-Notestine C, Hagler DJ, Hauger RL, McEvoy LK, McKenzie R, Neale MC, Panizzon MS, Sanderson-Cimino M, Toomey R, Tu XM, Williams MKE, Bell T, Xian H, Lyons MJ, Kremen WS, Franz CE. Long-term associations of cigarette smoking in early mid-life with predicted brain aging from mid- to late life. Addiction 2022; 117:1049-1059. [PMID: 34605095 PMCID: PMC8904283 DOI: 10.1111/add.15710] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 09/03/2021] [Accepted: 09/15/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND AIMS Smoking is associated with increased risk for brain aging/atrophy and dementia. Few studies have examined early associations with brain aging. This study aimed to measure whether adult men with a history of heavier smoking in early mid-life would have older than predicted brain age 16-28 years later. DESIGN Prospective cohort observational study, utilizing smoking pack years data from average age 40 (early mid-life) predicting predicted brain age difference scores (PBAD) at average ages 56, 62 (later mid-life) and 68 years (early old age). Early mid-life alcohol use was also evaluated. SETTING Population-based United States sample. PARTICIPANTS/CASES Participants were male twins of predominantly European ancestry who served in the United States military between 1965 and 1975. Structural magnetic resonance imaging (MRI) began at average age 56. Subsequent study waves included most baseline participants; attrition replacement subjects were added at later waves. MEASUREMENTS Self-reported smoking information was used to calculate pack years smoked at ages 40, 56, 62, and 68. MRIs were processed with the Brain-Age Regression Analysis and Computation Utility software (BARACUS) program to create PBAD scores (chronological age-predicted brain age) acquired at average ages 56 (n = 493; 2002-08), 62 (n = 408; 2009-14) and 68 (n = 499; 2016-19). FINDINGS In structural equation modeling, age 40 pack years predicted more advanced age 56 PBAD [β = -0.144, P = 0.012, 95% confidence interval (CI) = -0.257, -0.032]. Age 40 pack years did not additionally predict PBAD at later ages. Age 40 alcohol consumption, but not a smoking × alcohol interaction, predicted more advanced PBAD at age 56 (β = -0.166, P = 0.001, 95% CI = -0.261, -0.070) with additional influences at age 62 (β = -0.115, P = 0.005, 95% CI = -0.195, -0.036). Age 40 alcohol did not predict age 68 PBAD. Within-twin-pair analyses suggested some genetic mechanism partially underlying effects of alcohol, but not smoking, on PBAD. CONCLUSIONS Heavier smoking and alcohol consumption by age 40 appears to predict advanced brain aging by age 56 in men.
Collapse
Affiliation(s)
- Nathan Whitsel
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California, Riverside, Riverside, CA, USA
| | - Erik J Buchholz
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Shandell Pahlen
- Department of Psychology, University of California, Riverside, Riverside, CA, USA
| | - Rahul C Pearce
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Sean N Hatton
- Department of Neuroscience, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Jeremy A Elman
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Daniel E Gustavson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Olivia K Puckett
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Anders M Dale
- Department of Neuroscience, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
- Department of Neuroscience, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Donald J Hagler
- Department of Neuroscience, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Richard L Hauger
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Linda K McEvoy
- Department of Neuroscience, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Ruth McKenzie
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Mark Sanderson-Cimino
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, La Jolla, CA, USA
| | - Rosemary Toomey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Xin M Tu
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Mc Kenna E Williams
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, La Jolla, CA, USA
| | - Tyler Bell
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Hong Xian
- Department of Epidemiology and Biostatistics, St Louis University, St Louis, MO, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| |
Collapse
|
35
|
Theis JL, Niaz T, Sundsbak RS, Fogarty ZC, Bamlet WR, Hagler DJ, Olson TM. CELSR1 Risk Alleles in Familial Bicuspid Aortic Valve and Hypoplastic Left Heart Syndrome. Circ Genom Precis Med 2022; 15:e003523. [PMID: 35133174 DOI: 10.1161/circgen.121.003523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Whole-genome sequencing in families enables deciphering of congenital heart disease causes. A shared genetic basis for familial bicuspid aortic valve (BAV) and hypoplastic left heart syndrome (HLHS) was postulated. METHODS Whole-genome sequencing was performed in affected members of 6 multiplex BAV families, an HLHS cohort of 197 probands and 546 relatives, and 813 controls. Data were filtered for rare, predicted-damaging variants that cosegregated with familial BAV and disrupted genes associated with congenital heart disease in humans and mice. Candidate genes were further prioritized by rare variant burden testing in HLHS cases versus controls. Modifier variants in HLHS proband-parent trios were sought to account for the severe developmental phenotype. RESULTS In 5 BAV families, missense variants in 6 ontologically diverse genes for structural (SPTBN1, PAXIP1, and FBLN1) and signaling (CELSR1, PLXND1, and NOS3) proteins fulfilled filtering metrics. CELSR1, encoding cadherin epidermal growth factor laminin G seven-pass G-type receptor, was identified as a candidate gene in 2 families and was the only gene demonstrating rare variant enrichment in HLHS probands (P=0.003575). HLHS-associated CELSR1 variants included 16 missense, one splice site, and 3 noncoding variants predicted to disrupt canonical transcription factor binding sites, most of which were inherited from a parent without congenital heart disease. Filtering whole-genome sequencing data for rare, predicted-damaging variants inherited from the other parent revealed 2 cases of CELSR1 compound heterozygosity, one case of CELSR1-CELSR3 synergistic heterozygosity, and 4 cases of CELSR1-MYO15A digenic heterozygosity. CONCLUSIONS CELSR1 is a susceptibility gene for familial BAV and HLHS, further implicating planar cell polarity pathway perturbation in congenital heart disease.
Collapse
Affiliation(s)
- Jeanne L Theis
- Cardiovascular Genetics Research Laboratory (J.L.T., R.S.S., T.M.O.), Mayo Clinic, Rochester, MN
| | - Talha Niaz
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine (T.N., D.J.H., T.M.O.), Mayo Clinic, Rochester, MN
| | - Rhianna S Sundsbak
- Cardiovascular Genetics Research Laboratory (J.L.T., R.S.S., T.M.O.), Mayo Clinic, Rochester, MN
| | - Zachary C Fogarty
- Division of Computational Biology, Department of Quantitative Health Sciences (Z.C.F.), Mayo Clinic, Rochester, MN
| | - William R Bamlet
- Division of Clinical Trials and Biostatistics, Department of Quantiative Health Sciences (W.R.B.), Mayo Clinic, Rochester, MN
| | - Donald J Hagler
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine (T.N., D.J.H., T.M.O.), Mayo Clinic, Rochester, MN.,Department of Cardiovascular Medicine (D.J.H., T.M.O.), Mayo Clinic, Rochester, MN
| | - Timothy M Olson
- Cardiovascular Genetics Research Laboratory (J.L.T., R.S.S., T.M.O.), Mayo Clinic, Rochester, MN.,Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine (T.N., D.J.H., T.M.O.), Mayo Clinic, Rochester, MN.,Department of Cardiovascular Medicine (D.J.H., T.M.O.), Mayo Clinic, Rochester, MN
| |
Collapse
|
36
|
Makowski C, van der Meer D, Dong W, Wang H, Wu Y, Zou J, Liu C, Rosenthal SB, Hagler DJ, Fan CC, Kremen WS, Andreassen OA, Jernigan TL, Dale AM, Zhang K, Visscher PM, Yang J, Chen CH. Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases. Science 2022; 375:522-528. [PMID: 35113692 DOI: 10.1126/science.abe8457] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
To determine the impact of genetic variants on the brain, we used genetically informed brain atlases in genome-wide association studies of regional cortical surface area and thickness in 39,898 adults and 9136 children. We uncovered 440 genome-wide significant loci in the discovery cohort and 800 from a post hoc combined meta-analysis. Loci in adulthood were largely captured in childhood, showing signatures of negative selection, and were linked to early neurodevelopment and pathways associated with neuropsychiatric risk. Opposing gradations of decreased surface area and increased thickness were associated with common inversion polymorphisms. Inferior frontal regions, encompassing Broca's area, which is important for speech, were enriched for human-specific genomic elements. Thus, a mixed genetic landscape of conserved and human-specific features is concordant with brain hierarchy and morphogenetic gradients.
Collapse
Affiliation(s)
- Carolina Makowski
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Weixiu Dong
- Department of Bioengineering, University of California, San Diego, CA, USA
| | - Hao Wang
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
| | - Yan Wu
- Department of Bioengineering, University of California, San Diego, CA, USA
| | - Jingjing Zou
- Division of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, USA
| | - Cin Liu
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, University of California, San Diego, CA, USA
| | - Donald J Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
| | - Chun Chieh Fan
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
| | - William S Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, CA, USA
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Terry L Jernigan
- Center for Human Development, University of California, San Diego, CA, USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA.,Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kun Zhang
- Department of Bioengineering, University of California, San Diego, CA, USA
| | - Peter M Visscher
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Jian Yang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.,School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Chi-Hua Chen
- Center for Multimodal Imaging and Genetics, University of California, San Diego, CA, USA
| |
Collapse
|
37
|
Eglit GML, Elman JA, Panizzon MS, Sanderson-Cimino M, Williams ME, Dale AM, Eyler LT, Fennema-Notestine C, Gillespie NA, Gustavson DE, Hatton SN, Hagler DJ, Hauger RL, Jak AJ, Logue MW, McEvoy LK, McKenzie RE, Neale MC, Puckett O, Reynolds CA, Toomey R, Tu XM, Whitsel N, Xian H, Lyons MJ, Franz CE, Kremen WS. Paradoxical cognitive trajectories in men from earlier to later adulthood. Neurobiol Aging 2022; 109:229-238. [PMID: 34785406 PMCID: PMC8715388 DOI: 10.1016/j.neurobiolaging.2021.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 03/04/2021] [Revised: 10/07/2021] [Accepted: 10/07/2021] [Indexed: 01/03/2023]
Abstract
Because longitudinal studies of aging typically lack cognitive data from earlier ages, it is unclear how general cognitive ability (GCA) changes throughout the life course. In 1173 Vietnam Era Twin Study of Aging (VETSA) participants, we assessed young adult GCA at average age 20 and current GCA at 3 VETSA assessments beginning at average age 56. The same GCA index was used throughout. Higher young adult GCA and better GCA maintenance were associated with stronger specific cognitive abilities from age 51 to 73. Given equivalent GCA at age 56, individuals who had higher age 20 GCA outperformed those whose GCA remained stable in terms of memory, executive function, and working memory abilities from age 51 to 73. Thus, paradoxically, despite poorer maintenance of GCA, high young adult GCA still conferred benefits. Advanced predicted brain age and the combination of elevated vascular burden and APOE-ε4 status were associated with poorer maintenance of GCA. These findings highlight the importance of distinguishing between peak and current GCA for greater understanding of cognitive aging.
Collapse
Affiliation(s)
- Graham M L Eglit
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
| | - Jeremy A Elman
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Mathew S Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Mark Sanderson-Cimino
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; San Diego State University/University of California, San Diego Joint Doctoral Program, San Diego, CA, USA
| | - McKenna E Williams
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; San Diego State University/University of California, San Diego Joint Doctoral Program, San Diego, CA, USA
| | - Anders M Dale
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Daniel E Gustavson
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Sean N Hatton
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Donald J Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Richard L Hauger
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Amy J Jak
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Mark W Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA; Psychiatry and Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Linda K McEvoy
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Ruth E McKenzie
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA; School of Education and Social Policy, Merrimack College, North Andover, MA, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Olivia Puckett
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Rosemary Toomey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Xin M Tu
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Nathan Whitsel
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Hong Xian
- Department of Epidemiology and Biostatistics, St. Louis University, St. Louis, MO, USA
| | - Michael J Lyons
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Carol E Franz
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| |
Collapse
|
38
|
Palmer CE, Pecheva D, Iversen JR, Hagler DJ, Sugrue L, Nedelec P, Fan CC, Thompson WK, Jernigan TL, Dale AM. Microstructural development from 9 to 14 years: Evidence from the ABCD Study. Dev Cogn Neurosci 2021; 53:101044. [PMID: 34896850 PMCID: PMC8671104 DOI: 10.1016/j.dcn.2021.101044] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 11/23/2021] [Accepted: 12/02/2021] [Indexed: 02/03/2023] Open
Abstract
During late childhood behavioral changes, such as increased risk-taking and emotional reactivity, have been associated with the maturation of cortico-cortico and cortico-subcortical circuits. Understanding microstructural changes in both white matter and subcortical regions may aid our understanding of how individual differences in these behaviors emerge. Restriction spectrum imaging (RSI) is a framework for modelling diffusion-weighted imaging that decomposes the diffusion signal from a voxel into hindered, restricted, and free compartments. This yields greater specificity than conventional methods of characterizing diffusion. Using RSI, we quantified voxelwise restricted diffusion across the brain and measured age associations in a large sample (n = 8086) from the Adolescent Brain and Cognitive Development (ABCD) study aged 9-14 years. Older participants showed a higher restricted signal fraction across the brain, with the largest associations in subcortical regions, particularly the basal ganglia and ventral diencephalon. Importantly, age associations varied with respect to the cytoarchitecture within white matter fiber tracts and subcortical structures, for example age associations differed across thalamic nuclei. This suggests that age-related changes may map onto specific cell populations or circuits and highlights the utility of voxelwise compared to ROI-wise analyses. Future analyses will aim to understand the relevance of this microstructural developmental for behavioral outcomes.
Collapse
Affiliation(s)
- Clare E. Palmer
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA,Corresponding author.
| | - Diliana Pecheva
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA,Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| | - John R. Iversen
- Institute for Neural Computation, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Donald J. Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA,Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| | - Leo Sugrue
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Pierre Nedelec
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Chun Chieh Fan
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA
| | - Wesley K. Thompson
- Division of Biostatistics, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Terry L. Jernigan
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA,Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA,Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA,Department of Psychiatry, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| | - Anders M. Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, 9444 Medical Center Dr, La Jolla, CA 92037, USA,Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA,Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92161, USA,Department of Neuroscience, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92037, USA
| |
Collapse
|
39
|
Williams ME, Gillespie NA, Dale AM, Elman JA, Eyler LT, Fennema‐Notestine C, Hagler DJ, McEvoy LK, Neale MC, Panizzon MS, Sanderson‐Cimino ME, Franz CE, Kremen WS. Genetic and environmental influences on Alzheimer’s disease neuroimaging signatures. Alzheimers Dement 2021. [DOI: 10.1002/alz.054708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
40
|
Shadrin AA, Kaufmann T, van der Meer D, Palmer CE, Makowski C, Loughnan R, Jernigan TL, Seibert TM, Hagler DJ, Smeland OB, Motazedi E, Chu Y, Lin A, Cheng W, Hindley G, Thompson WK, Fan CC, Holland D, Westlye LT, Frei O, Andreassen OA, Dale AM. Vertex-wise multivariate genome-wide association study identifies 780 unique genetic loci associated with cortical morphology. Neuroimage 2021; 244:118603. [PMID: 34560273 PMCID: PMC8785963 DOI: 10.1016/j.neuroimage.2021.118603] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [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: 06/09/2021] [Revised: 08/30/2021] [Accepted: 09/18/2021] [Indexed: 01/26/2023] Open
Abstract
Brain morphology has been shown to be highly heritable, yet only a small portion of the heritability is explained by the genetic variants discovered so far. Here we extended the Multivariate Omnibus Statistical Test (MOSTest) and applied it to genome-wide association studies (GWAS) of vertex-wise structural magnetic resonance imaging (MRI) cortical measures from N=35,657 participants in the UK Biobank. We identified 695 loci for cortical surface area and 539 for cortical thickness, in total 780 unique genetic loci associated with cortical morphology robustly replicated in 8,060 children of mixed ethnicity from the Adolescent Brain Cognitive Development (ABCD) Study®. This reflects more than 8-fold increase in genetic discovery at no cost to generalizability compared to the commonly used univariate GWAS methods applied to region of interest (ROI) data. Functional follow up including gene-based analyses implicated 10% of all protein-coding genes and pointed towards pathways involved in neurogenesis and cell differentiation. Power analysis indicated that applying the MOSTest to vertex-wise structural MRI data triples the effective sample size compared to conventional univariate GWAS approaches. The large boost in power obtained with the vertex-wise MOSTest together with pronounced replication rates and highlighted biologically meaningful pathways underscores the advantage of multivariate approaches in the context of highly distributed polygenic architecture of the human brain.
Collapse
Affiliation(s)
- Alexey A. Shadrin
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Corresponding authors: Alexey A. Shadrin, , NORMENT Centre, Building 48, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 922 57 686; Ole A. Andreassen, , NORMENT Centre, Building 49, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 23 02 73 50 (22 11 78 43 dir), Fax: +47 23 02 73 33; Anders M. Dale, , Center for Translational Imaging and Precision Medicine, Center for Multimodal Imaging and Genetics, Dept. of Neuroscience and Radiology, University of California San Diego, 9452 Medical Center Dr, La Jolla, CA 92037, United States, Tel: (858) 822-6671, Fax: (858) 534-1078
| | - Tobias Kaufmann
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dennis van der Meer
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, The Netherlands
| | - Clare E. Palmer
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Robert Loughnan
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037, USA
| | - Terry L. Jernigan
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA,Center for Human Development, University of California San Diego, La Jolla, CA 92037, USA,Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037, USA
| | - Tyler M. Seibert
- Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA,Department of Bioengineering, University of California San Diego, La Jolla, CA 92037, USA,Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92037, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Olav B. Smeland
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ehsan Motazedi
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Yunhan Chu
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Aihua Lin
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Weiqiu Cheng
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Guy Hindley
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Wesley K. Thompson
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA 92037, USA
| | - Chun C. Fan
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Dominic Holland
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92037, USA,Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA
| | - Lars T. Westlye
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Corresponding authors: Alexey A. Shadrin, , NORMENT Centre, Building 48, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 922 57 686; Ole A. Andreassen, , NORMENT Centre, Building 49, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 23 02 73 50 (22 11 78 43 dir), Fax: +47 23 02 73 33; Anders M. Dale, , Center for Translational Imaging and Precision Medicine, Center for Multimodal Imaging and Genetics, Dept. of Neuroscience and Radiology, University of California San Diego, 9452 Medical Center Dr, La Jolla, CA 92037, United States, Tel: (858) 822-6671, Fax: (858) 534-1078
| | - Anders M. Dale
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Neurosciences, University of California San Diego, La Jolla, CA 92037, USA,Department of Radiology, University of California San Diego, La Jolla, CA 92037, USA,Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92037, USA,Corresponding authors: Alexey A. Shadrin, , NORMENT Centre, Building 48, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 922 57 686; Ole A. Andreassen, , NORMENT Centre, Building 49, Oslo University Hospital, Ullevål, PO Box 4956 Nydalen, 0424 Oslo, Norway, Tel: +47 23 02 73 50 (22 11 78 43 dir), Fax: +47 23 02 73 33; Anders M. Dale, , Center for Translational Imaging and Precision Medicine, Center for Multimodal Imaging and Genetics, Dept. of Neuroscience and Radiology, University of California San Diego, 9452 Medical Center Dr, La Jolla, CA 92037, United States, Tel: (858) 822-6671, Fax: (858) 534-1078
| |
Collapse
|
41
|
Elman JA, Puckett OK, Hagler DJ, Pearce RC, Fennema‐Notestine C, Hatton SN, Dale AM, Panizzon MS, Lyons MJ, Franz CE, Kremen WS. Associations between MRI‐assessed locus coeruleus integrity and restriction spectrum imaging of cortical gray matter microstructure. Alzheimers Dement 2021. [DOI: 10.1002/alz.056266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - William S. Kremen
- University of California San Diego La Jolla CA USA
- VA San Diego Healthcare System San Diego CA USA
| |
Collapse
|
42
|
Jain CC, Egbe AC, Stephens EH, Connolly HM, Hagler DJ, Hilscher MB, Miranda WR. Systemic Venous Hypertension and Low Output Are Prevalent at Catheterization in Adults with Pulmonary Atresia and Intact Ventricular Septum Regardless of Repair Strategy. Semin Thorac Cardiovasc Surg 2021; 34:1312-1319. [PMID: 34688901 DOI: 10.1053/j.semtcvs.2021.10.006] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 10/15/2021] [Indexed: 12/24/2022]
Abstract
Patients with pulmonary atresia and intact ventricular septum (PA-IVS) require intervention early in life, and most survive to a definitive procedure of either Fontan circulation or right ventricle to pulmonary artery (RV-PA) repair. It remains unknown how surgical strategy impacts hemodynamics and comorbidities in adults. Retrospective analysis of adults (age ≥18 years) with PA-IVS undergoing hemodynamic catheterization at Mayo Clinic, MN between January 2000 through January 2020 was performed. 14 patients in the RV-PA group (71% biventricular, 29% 1.5 ventricle repair) and 19 post-Fontan patients [9 lateral tunnel (48%), 6 atriopulmonary (32%), and 4 extracardiac (21%)] were identified. Median age was 29 (21, 34) years. There were no differences in demographics and laboratory data (including MELD-XI) between groups. All patients assessed for liver disease had evidence of hepatic congestion or cirrhosis (14 in the Fontan group and 4 in the RV-PA group). Invasive hemodynamics were comparable between groups with the Fontan and RV-PA groups having similar systemic venous pressure (15.7±4.4 vs. 14.3±6.2, p = .44) and cardiac output (2.2±0.6 vs. 2.0±0.4 L/min/m2, p = .23). There was no difference in transplant-free survival (p = .92; 5-year transplant-free survival RV-PA 84%, Fontan 80%). Hemodynamic derangements, namely elevated systemic venous pressure and low cardiac output, are prevalent in patients with PA-IVS undergoing cardiac catheterization regardless of surgical strategy.
Collapse
Affiliation(s)
- C Charles Jain
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Alexander C Egbe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Heidi M Connolly
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Donald J Hagler
- Division of Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota
| | - Moira B Hilscher
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - William R Miranda
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
| |
Collapse
|
43
|
Franz CE, Hatton SN, Elman JA, Warren T, Gillespie NA, Whitsel NA, Puckett OK, Dale AM, Eyler LT, Fennema-Notestine C, Hagler DJ, Hauger RL, McKenzie R, Neale MC, Panizzon MS, Pearce RC, Reynolds CA, Sanderson-Cimino M, Toomey R, Tu XM, Williams M, Xian H, Lyons MJ, Kremen WS. Lifestyle and the aging brain: interactive effects of modifiable lifestyle behaviors and cognitive ability in men from midlife to old age. Neurobiol Aging 2021; 108:80-89. [PMID: 34547718 PMCID: PMC8862767 DOI: 10.1016/j.neurobiolaging.2021.08.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 03/20/2021] [Revised: 07/23/2021] [Accepted: 08/12/2021] [Indexed: 01/18/2023]
Abstract
We examined the influence of lifestyle on brain aging after nearly 30 years, and tested the hypothesis that young adult general cognitive ability (GCA) would moderate these effects. In the community-dwelling Vietnam Era Twin Study of Aging (VETSA), 431 largely non-Hispanic white men completed a test of GCA at mean age 20. We created a modifiable lifestyle behavior composite from data collected at mean age 40. During VETSA, MRI-based measures at mean age 68 included predicted brain age difference (PBAD), Alzheimer's disease (AD) brain signature, and abnormal white matter scores. There were significant main effects of young adult GCA and lifestyle on PBAD and the AD signature (ps ≤ 0.012), and a GCA-by-lifestyle interaction on both (ps ≤ 0.006). Regardless of GCA level, having more favorable lifestyle behaviors predicted less advanced brain age and less AD-like brain aging. Unfavorable lifestyles predicted advanced brain aging in those with lower age 20 GCA, but did not affect brain aging in those with higher age 20 GCA. Targeting early lifestyle modification may promote dementia risk reduction, especially among lower reserve individuals.
Collapse
Affiliation(s)
- Carol E Franz
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA.
| | - Sean N Hatton
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Jeremy A Elman
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA
| | - Teresa Warren
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA; QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Nathan A Whitsel
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA
| | - Olivia K Puckett
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA
| | - Anders M Dale
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA; Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Richard L Hauger
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Ruth McKenzie
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA
| | - Rahul C Pearce
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Mark Sanderson-Cimino
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Rosemary Toomey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Xin M Tu
- Department of Family Medicine, University of California San Diego, San Diego, CA, USA
| | - McKenna Williams
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA; San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Hong Xian
- Department of Epidemiology & Biostatistics, St. Louis University, St. Louis, MO, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, San Diego, CA, USA
| |
Collapse
|
44
|
Lombardo MV, Eyler L, Pramparo T, Gazestani VH, Hagler DJ, Chen CH, Dale AM, Seidlitz J, Bethlehem RAI, Bertelsen N, Barnes CC, Lopez L, Campbell K, Lewis NE, Pierce K, Courchesne E. Atypical genomic cortical patterning in autism with poor early language outcome. Sci Adv 2021; 7:eabh1663. [PMID: 34516910 PMCID: PMC8442861 DOI: 10.1126/sciadv.abh1663] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 07/15/2021] [Indexed: 05/21/2023]
Abstract
Cortical regionalization develops via genomic patterning along anterior-posterior (A-P) and dorsal-ventral (D-V) gradients. Here, we find that normative A-P and D-V genomic patterning of cortical surface area (SA) and thickness (CT), present in typically developing and autistic toddlers with good early language outcome, is absent in autistic toddlers with poor early language outcome. Autistic toddlers with poor early language outcome are instead specifically characterized by a secondary and independent genomic patterning effect on CT. Genes involved in these effects can be traced back to midgestational A-P and D-V gene expression gradients and different prenatal cell types (e.g., progenitor cells and excitatory neurons), are functionally important for vocal learning and human-specific evolution, and are prominent in prenatal coexpression networks enriched for high-penetrance autism risk genes. Autism with poor early language outcome may be explained by atypical genomic cortical patterning starting in prenatal development, which may detrimentally affect later regional functional specialization and circuit formation.
Collapse
Affiliation(s)
- Michael V. Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Lisa Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- VISN 22 Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Tiziano Pramparo
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Vahid H. Gazestani
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Donald J. Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Chi-Hua Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Anders M. Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Jakob Seidlitz
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard A. I. Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Natasha Bertelsen
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Cynthia Carter Barnes
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Linda Lopez
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Kathleen Campbell
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Nathan E. Lewis
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| |
Collapse
|
45
|
Naidu SS, Baron SJ, Eng MH, Sathanandam SK, Zidar DA, Feldman DN, Ing FF, Latif F, Lim MJ, Henry TD, Rao SV, Dangas GD, Hermiller JB, Daggubati R, Shah B, Ang L, Aronow HD, Banerjee S, Box LC, Caputo RP, Cohen MG, Coylewright M, Duffy PL, Goldsweig AM, Hagler DJ, Hawkins BM, Hijazi ZM, Jayasuriya S, Justino H, Klein AJ, Kliger C, Li J, Mahmud E, Messenger JC, Morray BH, Parikh SA, Reilly J, Secemsky E, Shishehbor MH, Szerlip M, Yakubov SJ, Grines CL, Alvarez-Breckenridge J, Baird C, Baker D, Berry C, Bhattacharya M, Bilazarian S, Bowen R, Brounstein K, Cameron C, Cavalcante R, Culbertson C, Diaz P, Emanuele S, Evans E, Fletcher R, Fortune T, Gaiha P, Govender D, Gutfinger D, Haggstrom K, Herzog A, Hite D, Kalich B, Kirkland A, Kohler T, Laurisden H, Livolsi K, Lombardi L, Lowe S, Marhenke K, Meikle J, Moat N, Mueller M, Patarca R, Popma J, Rangwala N, Simonton C, Stokes J, Taber M, Tieche C, Venditto J, West NEJ, Zinn L. Hot topics in interventional cardiology: Proceedings from the society for cardiovascular angiography and interventions (SCAI) 2021 think tank. Catheter Cardiovasc Interv 2021; 98:904-913. [PMID: 34398509 DOI: 10.1002/ccd.29898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 07/28/2021] [Indexed: 01/07/2023]
Abstract
The Society for Cardiovascular Angiography and Interventions (SCAI) Think Tank is a collaborative venture that brings together interventional cardiologists, administrative partners, and select members of the cardiovascular industry community annually for high-level field-wide discussions. The 2021 Think Tank was organized into four parallel sessions reflective of the field of interventional cardiology: (a) coronary intervention, (b) endovascular medicine, (c) structural heart disease, and (d) congenital heart disease. Each session was moderated by a senior content expert and co-moderated by a member of SCAI's Emerging Leader Mentorship program. This document presents the proceedings to the wider cardiovascular community in order to enhance participation in this discussion, create additional dialog from a broader base, and thereby aid SCAI, the industry community and external stakeholders in developing specific action items to move these areas forward.
Collapse
Affiliation(s)
- Srihari S Naidu
- Department of Cardiology, Westchester Medical Center and New York Medical College, Valhalla, New York, USA
| | - Suzanne J Baron
- Division of Cardiology, Department of Medicine, Lahey Hospital and Medical Center, Burlington, Massachusetts, USA
| | - Marvin H Eng
- Center for Structural Heart Disease, Henry Ford Health System, Detroit, Michigan, USA
| | - Shyam K Sathanandam
- Department of Cardiology, Le Bonheur Children's Hospital, Memphis, Tennessee, USA
| | - David A Zidar
- Department of Cardiology, UH Harrington Heart & Vascular Institute, Cleveland, Ohio, USA
| | - Dmitriy N Feldman
- Department of Cardiology, Weill Cornell Medical Center, New York, USA
| | - Frank F Ing
- Department of Cardiology, UC Davis Medical Center, Sacramento, California, USA
| | - Faisal Latif
- Department of Cardiology, The University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Michael J Lim
- Department of Cardiology, St. Louis University School of Medicine, Saint Louis, Missouri, USA
| | - Timothy D Henry
- Department of Cardiology, The Christ Hospital Health Network, Cincinnati, Ohio, USA
| | - Sunil V Rao
- Department of Cardiology, Duke University Health System, Durham, North Carolina, USA
| | - George D Dangas
- The Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai Hospital, New York, USA
| | - James B Hermiller
- Department of Cardiology, Ascension St. Vincent Cardiovascular Research Institute, Carmel, Indiana, USA
| | - Ramesh Daggubati
- Department of Cardiology, The West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Binita Shah
- Department of Cardiology, NYU Grossman School of Medicine, New York, USA
| | - Lawrence Ang
- Division of Cardiovascular Medicine, The University of California, San Diego, California, USA
| | - Herbert D Aronow
- Department of Cardiology, Lifespan Cardiovascular Institute/Brown Medical School, Providence, Rhode Island, USA
| | - Subhash Banerjee
- Department of Cardiology, Dallas Veterans Affairs Medical Center, Dallas, Texas, USA
| | - Lyndon C Box
- Department of Cardiology, West Valley Medical Center, Caldwell, Idaho, USA
| | - Ronald P Caputo
- Department of Cardiology, Levine Heart and Wellness, Naples, Florida, USA
| | - Mauricio G Cohen
- Cardiac Catheterization Laboratory, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Megan Coylewright
- Department of Cardiology, Erlanger Health System, Chattanooga, Tennessee, USA
| | - Peter L Duffy
- Department of Cardiology, West Florida Hospital, Pensacola, Florida, USA
| | - Andrew M Goldsweig
- Division of Cardiovascular Medicine, The University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Donald J Hagler
- Division of Pediatric Cardiology and Department of Cardiovascular Diseases, Mayo Clinic Health System, Rochester, Minnesota, USA
| | - Beau M Hawkins
- Department of Cardiology, The University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Ziyad M Hijazi
- Cardiology, Weill Cornell Medical College, New York, USA.,Sidra Medicine, Doha, Qatar
| | - Sasanka Jayasuriya
- Cardiology, Ascension Columbia St. Mary's Hospital Milwaukee, Milwaukee, Wisconsin, USA
| | - Henri Justino
- Division of Cardiology, Department of Pediatrics, Texas Children's Hospital, Houston, Texas, USA
| | - Andrew J Klein
- Department of Cardiology, Piedmont Heart Institute, Atlanta, Georgia, USA
| | - Chad Kliger
- Department of Medicine, Division of Cardiovascular Medicine, Northwell Health Lenox Hill Hospital, New York, USA
| | - Jun Li
- Harrington Heart & Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Ehtisham Mahmud
- Coronary Care Unit, University of California, San Diego, California, USA
| | - John C Messenger
- Department of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Brian H Morray
- Department of Cardiology, Seattle Children's Hospital, Seattle, Washington, USA
| | - Sahil A Parikh
- Division of Cardiology and Center for Interventional Vascular Therapy, Columbia University Irving Medical Center, New York, USA
| | - John Reilly
- Division of Cardiovascular Medicine, Department of Medicine, Stony Brook University Hospital, Stony Brook, New York, USA
| | - Eric Secemsky
- Department of Internal Medicine, Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Mehdi H Shishehbor
- Harrington Heart & Vascular Institute, UH Harrington Heart & Vascular Institute, Cleveland, Ohio, USA
| | - Molly Szerlip
- Division of Cardiology, Baylor Scott & White The Heart Hospital - Plano, Plano, Texas, USA
| | - Steven J Yakubov
- Department of Cardiology, OhioHealth Heart & Vascular Physicians, Columbus, Ohio, USA
| | - Cindy L Grines
- Department of Cardiology, Northside Hospital Cardiovascular Institute, Atlanta, Georgia, USA
| | -
- TandemLife, LivaNova, Pittsburgh, Pennsylvania, USA
| | | | | | - David Baker
- Philips Healthcare, Cambridge, Massachusetts, USA
| | | | | | | | | | | | | | | | | | | | | | - Erin Evans
- TandemLife, LivaNova, Pittsburgh, Pennsylvania, USA
| | | | | | - Priya Gaiha
- Siemens Medical Solutions USA, Malvern, Pennsylvania, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Neil Moat
- Abbott, Santa Clara, California, USA
| | | | | | | | | | | | - Jerry Stokes
- TandemLife, LivaNova, Pittsburgh, Pennsylvania, USA
| | | | | | | | | | | |
Collapse
|
46
|
Chaarani B, Hahn S, Allgaier N, Adise S, Owens MM, Juliano AC, Yuan DK, Loso H, Ivanciu A, Albaugh MD, Dumas J, Mackey S, Laurent J, Ivanova M, Hagler DJ, Cornejo MD, Hatton S, Agrawal A, Aguinaldo L, Ahonen L, Aklin W, Anokhin AP, Arroyo J, Avenevoli S, Babcock D, Bagot K, Baker FC, Banich MT, Barch DM, Bartsch H, Baskin-Sommers A, Bjork JM, Blachman-Demner D, Bloch M, Bogdan R, Bookheimer SY, Breslin F, Brown S, Calabro FJ, Calhoun V, Casey BJ, Chang L, Clark DB, Cloak C, Constable RT, Constable K, Corley R, Cottler LB, Coxe S, Dagher RK, Dale AM, Dapretto M, Delcarmen-Wiggins R, Dick AS, Do EK, Dosenbach NUF, Dowling GJ, Edwards S, Ernst TM, Fair DA, Fan CC, Feczko E, Feldstein-Ewing SW, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Friedman-Hill S, Fuemmeler BF, Galvan A, Gee DG, Giedd J, Glantz M, Glaser P, Godino J, Gonzalez M, Gonzalez R, Grant S, Gray KM, Haist F, Harms MP, Hawes S, Heath AC, Heeringa S, Heitzeg MM, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman E, Howlett K, Huber RS, Huestis MA, Hyde LW, Iacono WG, Infante MA, Irfanoglu O, Isaiah A, Iyengar S, Jacobus J, James R, Jean-Francois B, Jernigan T, Karcher NR, Kaufman A, Kelley B, Kit B, Ksinan A, Kuperman J, Laird AR, Larson C, LeBlanc K, Lessov-Schlagger C, Lever N, Lewis DA, Lisdahl K, Little AR, Lopez M, Luciana M, Luna B, Madden PA, Maes HH, Makowski C, Marshall AT, Mason MJ, Matochik J, McCandliss BD, McGlade E, Montoya I, Morgan G, Morris A, Mulford C, Murray P, Nagel BJ, Neale MC, Neigh G, Nencka A, Noronha A, Nixon SJ, Palmer CE, Pariyadath V, Paulus MP, Pelham WE, Pfefferbaum D, Pierpaoli C, Prescot A, Prouty D, Puttler LI, Rajapaske N, Rapuano KM, Reeves G, Renshaw PF, Riedel MC, Rojas P, de la Rosa M, Rosenberg MD, Ross MJ, Sanchez M, Schirda C, Schloesser D, Schulenberg J, Sher KJ, Sheth C, Shilling PD, Simmons WK, Sowell ER, Speer N, Spittel M, Squeglia LM, Sripada C, Steinberg J, Striley C, Sutherland MT, Tanabe J, Tapert SF, Thompson W, Tomko RL, Uban KA, Vrieze S, Wade NE, Watts R, Weiss S, Wiens BA, Williams OD, Wilbur A, Wing D, Wolff-Hughes D, Yang R, Yurgelun-Todd DA, Zucker RA, Potter A, Garavan HP. Baseline brain function in the preadolescents of the ABCD Study. Nat Neurosci 2021; 24:1176-1186. [PMID: 34099922 PMCID: PMC8947197 DOI: 10.1038/s41593-021-00867-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/30/2021] [Indexed: 02/05/2023]
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development.
Collapse
Affiliation(s)
- B Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - S Hahn
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - N Allgaier
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Adise
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M M Owens
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A C Juliano
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D K Yuan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H Loso
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A Ivanciu
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M D Albaugh
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Laurent
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D J Hagler
- University of California, San Diego, La Jolla, CA, USA
| | - M D Cornejo
- Institute of Physics UC, Pontificia Universidad Catolica de Chile, Pontificia, Chile
| | - S Hatton
- University of California, San Diego, La Jolla, CA, USA
| | - A Agrawal
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - L Aguinaldo
- University of California, San Diego, La Jolla, CA, USA
| | - L Ahonen
- University of Pittsburgh, Pittsburgh, PA, USA
| | - W Aklin
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - A P Anokhin
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Arroyo
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S Avenevoli
- National Institute of Mental Health, Bethesda, MD, USA
| | - D Babcock
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - K Bagot
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - F C Baker
- SRI International, Menlo Park, CA, USA
| | - M T Banich
- University of Colorado, Boulder, CO, USA
| | - D M Barch
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H Bartsch
- Haukeland University Hospital, Bergen, Norway
| | | | - J M Bjork
- Virginia Commonwealth University, Richmond, VA, USA
| | - D Blachman-Demner
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - M Bloch
- National Cancer Institute, Bethesda, MD, USA
| | - R Bogdan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | | | - F Breslin
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - S Brown
- University of California, San Diego, La Jolla, CA, USA
| | - F J Calabro
- University of Pittsburgh, Pittsburgh, PA, USA
| | - V Calhoun
- University of Colorado, Boulder, CO, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - L Chang
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D B Clark
- University of Pittsburgh, Pittsburgh, PA, USA
| | - C Cloak
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - K Constable
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R Corley
- University of Colorado, Boulder, CO, USA
| | | | - S Coxe
- Florida International University, Miami, FL, USA
| | - R K Dagher
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - A M Dale
- University of California, San Diego, La Jolla, CA, USA
| | - M Dapretto
- University of California, Los Angeles, CA, USA
| | | | - A S Dick
- Florida International University, Miami, FL, USA
| | - E K Do
- Virginia Commonwealth University, Richmond, VA, USA
| | - N U F Dosenbach
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - G J Dowling
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - S Edwards
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - T M Ernst
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Fair
- Oregon Health & Science University, Portland, OR, USA
| | - C C Fan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - E Feczko
- Oregon Health & Science University, Portland, OR, USA
| | | | | | - J J Foxe
- University of Rochester, Rochester, NY, USA
| | | | | | | | | | - A Galvan
- University of California, Los Angeles, CA, USA
| | - D G Gee
- Yale University, New Haven, CT, USA
| | - J Giedd
- University of California, San Diego, La Jolla, CA, USA
| | - M Glantz
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Glaser
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Godino
- University of California, San Diego, La Jolla, CA, USA
| | - M Gonzalez
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - R Gonzalez
- Florida International University, Miami, FL, USA
| | - S Grant
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K M Gray
- Medical University of South Carolina, Charleston, SC, USA
| | - F Haist
- University of California, San Diego, La Jolla, CA, USA
| | - M P Harms
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - S Hawes
- Florida International University, Miami, FL, USA
| | - A C Heath
- University of California, San Diego, La Jolla, CA, USA
| | - S Heeringa
- University of Michigan, Ann Arbor, MI, USA
| | | | - R Hermosillo
- Oregon Health & Science University, Portland, OR, USA
| | - M M Herting
- University of Southern California, Los Angeles, CA, USA
| | - J M Hettema
- Virginia Commonwealth University, Richmond, VA, USA
| | - J K Hewitt
- University of Colorado, Boulder, CO, USA
| | - C Heyser
- University of California, San Diego, La Jolla, CA, USA
| | - E Hoffman
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K Howlett
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R S Huber
- University of Utah, Salt Lake City, UT, USA
| | - M A Huestis
- Thomas Jefferson University, Philadelphia, PA, USA
| | - L W Hyde
- University of Michigan, Ann Arbor, MI, USA
| | - W G Iacono
- University of Minnesota, Minneapolis, MN, USA
| | - M A Infante
- University of California, San Diego, La Jolla, CA, USA
| | - O Irfanoglu
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA
| | - A Isaiah
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - S Iyengar
- National Endowment for the Arts, Washington DC, USA
| | - J Jacobus
- University of California, San Diego, La Jolla, CA, USA
| | - R James
- Virginia Commonwealth University, Richmond, VA, USA
| | - B Jean-Francois
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - T Jernigan
- University of California, San Diego, La Jolla, CA, USA
| | - N R Karcher
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - A Kaufman
- National Cancer Institute, Bethesda, MD, USA
| | - B Kelley
- National Institute of Justice, Washington DC, USA
| | - B Kit
- National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - A Ksinan
- Virginia Commonwealth University, Richmond, VA, USA
| | - J Kuperman
- University of California, San Diego, La Jolla, CA, USA
| | - A R Laird
- Florida International University, Miami, FL, USA
| | - C Larson
- University of Wisconsin, Milwaukee, WI, USA
| | - K LeBlanc
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - C Lessov-Schlagger
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - N Lever
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Lewis
- University of Pittsburgh, Pittsburgh, PA, USA
| | - K Lisdahl
- University of Wisconsin, Milwaukee, WI, USA
| | - A R Little
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Lopez
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Luciana
- University of Minnesota, Minneapolis, MN, USA
| | - B Luna
- University of Pittsburgh, Pittsburgh, PA, USA
| | - P A Madden
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H H Maes
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Makowski
- University of California, San Diego, La Jolla, CA, USA
| | - A T Marshall
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - M J Mason
- University of Tennessee, Knoxville, TN, USA
| | - J Matochik
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | | | - E McGlade
- University of Utah, Salt Lake City, UT, USA
| | - I Montoya
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - G Morgan
- National Cancer Institute, Bethesda, MD, USA
| | - A Morris
- Oklahoma State University, Stillwater, OK, USA
| | - C Mulford
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Murray
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - B J Nagel
- Oregon Health & Science University, Portland, OR, USA
| | - M C Neale
- Virginia Commonwealth University, Richmond, VA, USA
| | - G Neigh
- Virginia Commonwealth University, Richmond, VA, USA
| | - A Nencka
- Medical College of Wisconsin, Milwaukee, WI, USA
| | - A Noronha
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S J Nixon
- University of Florida, Gainesville, FL, USA
| | - C E Palmer
- University of California, San Diego, La Jolla, CA, USA
| | - V Pariyadath
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - W E Pelham
- Florida International University, Miami, FL, USA
| | | | - C Pierpaoli
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - A Prescot
- University of Utah, Salt Lake City, UT, USA
| | - D Prouty
- SRI International, Menlo Park, CA, USA
| | | | - N Rajapaske
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | | | - G Reeves
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - M C Riedel
- Florida International University, Miami, FL, USA
| | - P Rojas
- Florida International University, Miami, FL, USA
| | - M de la Rosa
- Florida International University, Miami, FL, USA
| | | | - M J Ross
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - M Sanchez
- Florida International University, Miami, FL, USA
| | - C Schirda
- University of Pittsburgh, Pittsburgh, PA, USA
| | - D Schloesser
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | | | - K J Sher
- University of Missouri, Columbia, MO, USA
| | - C Sheth
- University of Utah, Salt Lake City, UT, USA
| | - P D Shilling
- University of California, San Diego, La Jolla, CA, USA
| | - W K Simmons
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - E R Sowell
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - N Speer
- University of Colorado, Boulder, CO, USA
| | - M Spittel
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - L M Squeglia
- Medical University of South Carolina, Charleston, SC, USA
| | - C Sripada
- University of Michigan, Ann Arbor, MI, USA
| | - J Steinberg
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Striley
- University of Florida, Gainesville, FL, USA
| | | | - J Tanabe
- University of Colorado, Boulder, CO, USA
| | - S F Tapert
- University of California, San Diego, La Jolla, CA, USA
| | - W Thompson
- University of California, San Diego, La Jolla, CA, USA
| | - R L Tomko
- Medical University of South Carolina, Charleston, SC, USA
| | - K A Uban
- University of California, Irvine, CA, USA
| | - S Vrieze
- University of Minnesota, Minneapolis, MN, USA
| | - N E Wade
- University of California, San Diego, La Jolla, CA, USA
| | - R Watts
- Yale University, New Haven, CT, USA
| | - S Weiss
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - B A Wiens
- University of Florida, Gainesville, FL, USA
| | - O D Williams
- Florida International University, Miami, FL, USA
| | - A Wilbur
- SRI International, Menlo Park, CA, USA
| | - D Wing
- University of California, San Diego, La Jolla, CA, USA
| | - D Wolff-Hughes
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - R Yang
- University of California, San Diego, La Jolla, CA, USA
| | | | - R A Zucker
- University of Michigan, Ann Arbor, MI, USA
| | - A Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H P Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| |
Collapse
|
47
|
Williams ME, Elman JA, McEvoy LK, Andreassen OA, Dale AM, Eglit GML, Eyler LT, Fennema-Notestine C, Franz CE, Gillespie NA, Hagler DJ, Hatton SN, Hauger RL, Jak AJ, Logue MW, Lyons MJ, McKenzie RE, Neale MC, Panizzon MS, Puckett OK, Reynolds CA, Sanderson-Cimino M, Toomey R, Tu XM, Whitsel N, Xian H, Kremen WS. 12-year prediction of mild cognitive impairment aided by Alzheimer's brain signatures at mean age 56. Brain Commun 2021; 3:fcab167. [PMID: 34396116 PMCID: PMC8361427 DOI: 10.1093/braincomms/fcab167] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 01/22/2023] Open
Abstract
Neuroimaging signatures based on composite scores of cortical thickness and hippocampal volume predict progression from mild cognitive impairment to Alzheimer's disease. However, little is known about the ability of these signatures among cognitively normal adults to predict progression to mild cognitive impairment. Towards that end, a signature sensitive to microstructural changes that may predate macrostructural atrophy should be useful. We hypothesized that: (i) a validated MRI-derived Alzheimer's disease signature based on cortical thickness and hippocampal volume in cognitively normal middle-aged adults would predict progression to mild cognitive impairment; and (ii) a novel grey matter mean diffusivity signature would be a better predictor than the thickness/volume signature. This cohort study was part of the Vietnam Era Twin Study of Aging. Concurrent analyses compared cognitively normal and mild cognitive impairment groups at each of three study waves (ns = 246-367). Predictive analyses included 169 cognitively normal men at baseline (age = 56.1, range = 51-60). Our previously published thickness/volume signature derived from independent data, a novel mean diffusivity signature using the same regions and weights as the thickness/volume signature, age, and an Alzheimer's disease polygenic risk score were used to predict incident mild cognitive impairment an average of 12 years after baseline (follow-up age = 67.2, range = 61-71). Additional analyses adjusted for predicted brain age difference scores (chronological age minus predicted brain age) to determine if signatures were Alzheimer-related and not simply ageing-related. In concurrent analyses, individuals with mild cognitive impairment had higher (worse) mean diffusivity signature scores than cognitively normal participants, but thickness/volume signature scores did not differ between groups. In predictive analyses, age and polygenic risk score yielded an area under the curve of 0.74 (sensitivity = 80.00%; specificity = 65.10%). Prediction was significantly improved with addition of the mean diffusivity signature (area under the curve = 0.83; sensitivity = 85.00%; specificity = 77.85%; P = 0.007), but not with addition of the thickness/volume signature. A model including both signatures did not improve prediction over a model with only the mean diffusivity signature. Results held up after adjusting for predicted brain age difference scores. The novel mean diffusivity signature was limited by being yoked to the thickness/volume signature weightings. An independently derived mean diffusivity signature may thus provide even stronger prediction. The young age of the sample at baseline is particularly notable. Given that the brain signatures were examined when participants were only in their 50 s, our results suggest a promising step towards improving very early identification of Alzheimer's disease risk and the potential value of mean diffusivity and/or multimodal brain signatures.
Collapse
Affiliation(s)
- McKenna E Williams
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Jeremy A Elman
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Linda K McEvoy
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo 0316, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo 0372, Norway
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92093, USA
| | - Graham M L Eglit
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, CA 92093, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Carol E Franz
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Donald J Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Sean N Hatton
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92093, USA
| | - Richard L Hauger
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, CA 92093, USA
| | - Amy J Jak
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- VA San Diego Healthcare System, San Diego, CA 92093, USA
| | - Mark W Logue
- National Center for PTSD: Behavioral Science Division, VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry and the Biomedical Genetics Section, Boston University School of Medicine, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02212, USA
| | - Ruth E McKenzie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- School of Education and Social Policy, Merrimack College, North Andover, MA 01845, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Matthew S Panizzon
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Olivia K Puckett
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA 92521, USA
| | - Mark Sanderson-Cimino
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Rosemary Toomey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02212, USA
| | - Xin M Tu
- Family Medicine and Public Health, University of California San Diego, La Jolla, CA 92093, USA
| | - Nathan Whitsel
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Hong Xian
- Department of Biostatistics, St. Louis University, St. Louis, MO 63103, USA
| | - William S Kremen
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, CA 92093, USA
| |
Collapse
|
48
|
Niaz T, Johnson JN, Cetta F, Poterucha JT, Hagler DJ. Sex Differences in Children and Young Adults With Bicuspid Aortic Valve Disease in First Two Decades of Life. Mayo Clin Proc 2021; 96:1874-1887. [PMID: 34218860 DOI: 10.1016/j.mayocp.2020.12.033] [Citation(s) in RCA: 1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/14/2020] [Accepted: 12/22/2020] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To elucidate sex differences in valve morphology, disease phenotype, progression, and outcomes among children and young adults with bicuspid aortic valve (BAV). PATIENTS AND METHODS This is a retrospective cohort study examining all children and young adults (aged ≤22 years) with isolated BAV diagnosed, by excluding patients with concomitant congenital heart defects or genetic syndromes, from January 1, 1990, through December 1, 2016, at Mayo Clinic in Rochester, Minnesota. RESULTS Of 1010 patients with BAV, 558 had isolated BAV. Distributions of morphology were right-left in 65.8% (n=367), right-noncoronary in 34% (n=190), and left-noncoronary cusp fusion in 0.2% (n=1) of patients; with no sex differences. Male to female ratio was 3:1. At the first echocardiographic evaluation in the study, there were no sex differences in terms of frequency of aortic valve stenosis or regurgitation. However, males had significantly higher grades of aortic valve regurgitation at 17 years of age onward (P<.0001). Males had significantly larger mid-ascending aorta (P=.01) and sinus of Valsalva dimensions (z score; P=.0001) as compared with females, with a novel finding of peak aortic dimensions around 8 years of age. Males also had more than 2-fold higher risk for sinus of Valsalva dilation (z score >2) as compared with females (odds ratio, 2.3; 95% CI, 1.2 to 4.2; P=.01). There were no significant sex differences in the primary cardiac outcomes of interventions on aortic valve and/or aorta, aortic dissection, or death. CONCLUSION In children and young adults with BAV, males have a higher grade of aortic regurgitation in late adolescence, significantly larger aortic dimensions, different patterns of aortic growth, and more frequent sinus of Valsalva dilation as compared with females. Overall, the rate of primary cardiac events is lower in young patients, with no significant sex differences.
Collapse
Affiliation(s)
- Talha Niaz
- Division of Pediatric Cardiology, Department of Pediatrics, Mayo Clinic, Rochester, MN.
| | - Jonathan N Johnson
- Division of Pediatric Cardiology, Department of Pediatrics, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Frank Cetta
- Division of Pediatric Cardiology, Department of Pediatrics, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Joseph T Poterucha
- Division of Pediatric Cardiology, Department of Pediatrics, Mayo Clinic, Rochester, MN
| | - Donald J Hagler
- Division of Pediatric Cardiology, Department of Pediatrics, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
| |
Collapse
|
49
|
Gonzalez MR, Baaré WFC, Hagler DJ, Archibald S, Vestergaard M, Madsen KS. Brain structure associations with phonemic and semantic fluency in typically-developing children. Dev Cogn Neurosci 2021; 50:100982. [PMID: 34171560 PMCID: PMC8242963 DOI: 10.1016/j.dcn.2021.100982] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/13/2021] [Accepted: 06/20/2021] [Indexed: 12/26/2022] Open
Abstract
Verbal fluency is the ability to retrieve lexical knowledge quickly and efficiently and develops during childhood and adolescence. Few studies have investigated associations between verbal fluency performance and brain structural variation in children. Here we examined associations of verbal fluency performance with structural measures of frontal and temporal language-related brain regions and their connections in 73 typically-developing children aged 7-13 years. Tract-based spatial statistics was used to extract fractional anisotropy (FA) from the superior longitudinal fasciculus/arcuate fasciculus (SLF/AF), and the white matter underlying frontal and temporal language-related regions. FreeSurfer was used to extract cortical thickness and surface area. Better semantic and phonemic fluency performance was associated with higher right SLF/AF FA, and phonemic fluency was also modestly associated with lower left SLF/AF FA. Explorative voxelwise analyses for semantic fluency suggested associations with FA in other fiber tracts, including corpus callosum and right inferior fronto-occipital fasciculus. Overall, our results suggest that verbal fluency performance in children may rely on right hemisphere structures, possibly involving both language and executive function networks, and less on solely left hemisphere structures as often is observed in adults. Longitudinal studies are needed to clarify whether these associations are mediated by maturational processes, stable characteristics and/or experience.
Collapse
Affiliation(s)
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark.
| | - Donald J Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA.
| | - Sarah Archibald
- Center for Human Development, University of California, San Diego, La Jolla, CA, USA.
| | - Martin Vestergaard
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark; Department of Child and Adolescent Psychiatry, Psychiatry Region Zealand, Ny Østergade 12, DK-4000, Roskilde, Denmark.
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark; Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, DK-2650, Hvidovre, Denmark; Radiography, Department of Technology, University College Copenhagen, Sigurdsgade 26, DK-2200, Copenhagen N., Denmark.
| |
Collapse
|
50
|
Niaz T, Johnson JN, Cetta F, Olson TM, Hagler DJ. Bicuspid Aortic Valve in Infants, Children, and Adolescents: A Review for Primary Care Providers. Pediatr Rev 2021; 42:233-244. [PMID: 33931508 DOI: 10.1542/pir.2019-0307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Talha Niaz
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, and
| | - Jonathan N Johnson
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, and.,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Frank Cetta
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, and.,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Timothy M Olson
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, and.,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Donald J Hagler
- Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, and.,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| |
Collapse
|