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Guo B, Wang C, Zhu Y, Liu Z, Long H, Ruan Z, Lin Z, Fan Z, Li Y, Zhao S. Causal associations of brain structure with bone mineral density: a large-scale genetic correlation study. Bone Res 2023; 11:37. [PMID: 37474577 PMCID: PMC10359275 DOI: 10.1038/s41413-023-00270-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 04/13/2023] [Accepted: 05/22/2023] [Indexed: 07/22/2023] Open
Abstract
In this study, we aimed to investigate the causal associations of brain structure with bone mineral density (BMD). Based on the genome-wide association study (GWAS) summary statistics of 1 325 brain imaging-derived phenotypes (BIDPs) of brain structure from the UK Biobank and GWAS summary datasets of 5 BMD locations, including the total body, femoral neck, lumbar spine, forearm, and heel from the GEFOS Consortium, linkage disequilibrium score regression (LDSC) was conducted to determine the genetic correlations, and Mendelian randomization (MR) was then performed to explore the causal relationship between the BIDPs and BMD. Several sensitivity analyses were performed to verify the strength and stability of the present MR outcomes. To increase confidence in our findings, we also performed confirmatory MR between BIDPs and osteoporosis. LDSC revealed that 1.93% of BIDPs, with a false discovery rate (FDR) < 0.01, were genetically correlated with BMD. Additionally, we observed that 1.31% of BIDPs exhibited a significant causal relationship with BMD (FDR < 0.01) through MR. Both the LDSC and MR results demonstrated that the BIDPs "Volume of normalized brain," "Volume of gray matter in Left Inferior Frontal Gyrus, pars opercularis," "Volume of Estimated Total Intra Cranial" and "Volume-ratio of brain segmentation/estimated total intracranial" had strong associations with BMD. Interestingly, our results showed that more left BIDPs were causally associated with BMD, especially within and around the left frontal region. In conclusion, a part of the brain structure causally influences BMD, which may provide important perspectives for the prevention of osteoporosis and offer valuable insights for further research on the brain-bone axis.
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Affiliation(s)
- Bin Guo
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Chao Wang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Yong Zhu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Zhi Liu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Haitao Long
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Zhe Ruan
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Zhangyuan Lin
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Zhihua Fan
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Yusheng Li
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Shushan Zhao
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
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Wei X, Shi G, Tu J, Zhou H, Duan Y, Lee CK, Wang X, Liu C. Structural and Functional Asymmetry in Precentral and Postcentral Gyrus in Patients With Unilateral Chronic Shoulder Pain. Front Neurol 2022; 13:792695. [PMID: 35250808 PMCID: PMC8892006 DOI: 10.3389/fneur.2022.792695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/13/2022] [Indexed: 12/25/2022] Open
Abstract
Objective The purpose of this study was to explore the structural and functional asymmetry of precentral and postcentral gyrus in patients with unilateral chronic shoulder pain (CSP) utilizing MRI. Patients and Methods We collected structural and resting-state functional MRI (rs-fMRI) data in 22 left-sided, 15 patients with right-sided CSP, and 24 healthy controls (HCs). Here, we performed the structural asymmetry and seed-based functional connectivity (FC) analyses. We extracted regional cortical thickness and surface area measurements from T1-weighted MRI images, using asymmetry indexes (AIs) to assess asymmetries. We used Data Processing and Analysis for Brain Imaging software for seed-based FC analysis and selected unilateral-precentral and postcentral as the regions of interest. Then, we performed group comparisons of the neuroimaging metrics, and also explored the relationships between brain asymmetry and clinical variables. Results We found significant differences in surface area AIs of the precentral among three groups, the AI values were negatively correlated with the visual analog scale score and positively correlated with Constant–Murley scores (CMS) in the left-sided CSP group. Further, FC of left postcentral with cingulate gyrus and left paracentral lobule showed significant group differences; FC of right postcentral with left caudate, left paracentral, and left postcentral were different among groups; FC of right precentral with the cingulate gyrus, precuneus, and left paracentral revealed significant group differences. Besides, there was a positive correlation between right precentral-cingulate gyrus FC and CMS in the right-sided CSP group. Conclusion Surface area and FC patterns asymmetry exist in precentral and postcentral gyrus in patients with unilateral CSP. Asymmetry trend is associated with pain severity and shoulder joint function impairment. Brain structural and functional asymmetry may be an important indicator for understanding the potential mechanism of chronic pain.
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Affiliation(s)
- Xiaoya Wei
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Guangxia Shi
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Jianfeng Tu
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Hang Zhou
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Yanshan Duan
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Chin Kai Lee
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Xu Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
- Xu Wang
| | - Cunzhi Liu
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Cunzhi Liu
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3
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Poloni KM, Ferrari RJ. Automated detection, selection and classification of hippocampal landmark points for the diagnosis of Alzheimer's disease. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 214:106581. [PMID: 34923325 DOI: 10.1016/j.cmpb.2021.106581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 11/12/2021] [Accepted: 12/04/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND AND OBJECTIVE Alzheimer's disease (AD) is a neurodegenerative, progressive, and irreversible disease that accounts for up to 80% of all dementia cases. AD predominantly affects older adults, and its clinical diagnosis is a challenging evaluation process, with imprecision rates between 12 and 23%. Structural magnetic resonance (MR) imaging has been widely used in studies related to AD because this technique provides images with excellent anatomical details and information about structural changes induced by the disease in the brain. Current studies are focused on detecting AD in its initial stage, i.e., mild cognitive impairment (MCI), since treatments for preventing or delaying the onset of symptoms is more effective when administered at the early stages of the disease. This study proposes a new technique to perform MR image classification in AD diagnosis using discriminative hippocampal point landmarks among the cognitively normal (CN), MCI, and AD populations. METHODS Our approach, based on a two-level classification, first detects and selects discriminative landmark points from two diagnosis populations based on their matching distance compared to a probabilistic atlas of 3-D labeled landmark points. The points are classified using attributes computed in a spherical support region around each point using information from brain probability image tissues of gray matter, white matter, and cerebrospinal fluid as sources of information. Next, at the second level, the images are classified based on a quantitative evaluation obtained from the first-level classifier outputs. RESULTS For the CN×MCI experiment, we achieved an AUC of 0.83, an accuracy of 75.58%, with 72.9% of sensitivity and 77.81% of specificity. For the MCI×AD experiment, we achieved an AUC value of 0.73, an accuracy of 69.8%, a sensitivity of 74.09% and specificity of 64.57%. Finally, for the CN×AD, we achieved an AUC of 0.95, an accuracy of 89.24%, with 85.58% of sensitivity and 92.71% of specificity. CONCLUSIONS The obtained classification results are similar to (or even higher than) other studies that classify AD compared to CN individuals and comparable to those classified patients with MCI.
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Affiliation(s)
- Katia M Poloni
- Department of Computing, Federal University of São Carlos, Rod. Washington Luis, Km 235, São Carlos, 13565-905, SP, Brazil
| | - Ricardo J Ferrari
- Department of Computing, Federal University of São Carlos, Rod. Washington Luis, Km 235, São Carlos, 13565-905, SP, Brazil.
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Hosten N, Bülow R, Völzke H, Domin M, Schmidt CO, Teumer A, Ittermann T, Nauck M, Felix S, Dörr M, Markus MRP, Völker U, Daboul A, Schwahn C, Holtfreter B, Mundt T, Krey KF, Kindler S, Mksoud M, Samietz S, Biffar R, Hoffmann W, Kocher T, Chenot JF, Stahl A, Tost F, Friedrich N, Zylla S, Hannemann A, Lotze M, Kühn JP, Hegenscheid K, Rosenberg C, Wassilew G, Frenzel S, Wittfeld K, Grabe HJ, Kromrey ML. SHIP-MR and Radiology: 12 Years of Whole-Body Magnetic Resonance Imaging in a Single Center. Healthcare (Basel) 2021; 10:33. [PMID: 35052197 PMCID: PMC8775435 DOI: 10.3390/healthcare10010033] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/17/2021] [Accepted: 12/20/2021] [Indexed: 12/16/2022] Open
Abstract
The Study of Health in Pomerania (SHIP), a population-based study from a rural state in northeastern Germany with a relatively poor life expectancy, supplemented its comprehensive examination program in 2008 with whole-body MR imaging at 1.5 T (SHIP-MR). We reviewed more than 100 publications that used the SHIP-MR data and analyzed which sequences already produced fruitful scientific outputs and which manuscripts have been referenced frequently. Upon reviewing the publications about imaging sequences, those that used T1-weighted structured imaging of the brain and a gradient-echo sequence for R2* mapping obtained the highest scientific output; regarding specific body parts examined, most scientific publications focused on MR sequences involving the brain and the (upper) abdomen. We conclude that population-based MR imaging in cohort studies should define more precise goals when allocating imaging time. In addition, quality control measures might include recording the number and impact of published work, preferably on a bi-annual basis and starting 2 years after initiation of the study. Structured teaching courses may enhance the desired output in areas that appear underrepresented.
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Affiliation(s)
- Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany; (N.H.); (R.B.); (M.D.); (K.H.); (C.R.)
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany; (N.H.); (R.B.); (M.D.); (K.H.); (C.R.)
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany; (H.V.); (C.O.S.); (A.T.); (T.I.); (W.H.); (J.-F.C.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
| | - Martin Domin
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany; (N.H.); (R.B.); (M.D.); (K.H.); (C.R.)
| | - Carsten Oliver Schmidt
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany; (H.V.); (C.O.S.); (A.T.); (T.I.); (W.H.); (J.-F.C.)
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany; (H.V.); (C.O.S.); (A.T.); (T.I.); (W.H.); (J.-F.C.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany; (H.V.); (C.O.S.); (A.T.); (T.I.); (W.H.); (J.-F.C.)
| | - Matthias Nauck
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Stephan Felix
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Department of Internal Medicine B, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Marcus Dörr
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Department of Internal Medicine B, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Marcello Ricardo Paulista Markus
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Department of Internal Medicine B, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Uwe Völker
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Amro Daboul
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, 17475 Greifswald, Germany; (A.D.); (C.S.); (T.M.); (S.S.); (R.B.)
| | - Christian Schwahn
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, 17475 Greifswald, Germany; (A.D.); (C.S.); (T.M.); (S.S.); (R.B.)
| | - Birte Holtfreter
- Department of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, 17475 Greifswald, Germany; (B.H.); (T.K.)
| | - Torsten Mundt
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, 17475 Greifswald, Germany; (A.D.); (C.S.); (T.M.); (S.S.); (R.B.)
| | - Karl-Friedrich Krey
- Department of Orthodontics, University Medicine Greifswald, 17475 Greifswald, Germany;
| | - Stefan Kindler
- Department of Oral and Maxillofacial Surgery/Plastic Surgery, University Medicine Greifswald, 17475 Greifswald, Germany; (S.K.); (M.M.)
| | - Maria Mksoud
- Department of Oral and Maxillofacial Surgery/Plastic Surgery, University Medicine Greifswald, 17475 Greifswald, Germany; (S.K.); (M.M.)
| | - Stefanie Samietz
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, 17475 Greifswald, Germany; (A.D.); (C.S.); (T.M.); (S.S.); (R.B.)
| | - Reiner Biffar
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, 17475 Greifswald, Germany; (A.D.); (C.S.); (T.M.); (S.S.); (R.B.)
| | - Wolfgang Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany; (H.V.); (C.O.S.); (A.T.); (T.I.); (W.H.); (J.-F.C.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, 17489 Greifswald, Germany
| | - Thomas Kocher
- Department of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, 17475 Greifswald, Germany; (B.H.); (T.K.)
| | - Jean-Francois Chenot
- Institute for Community Medicine, University Medicine Greifswald, 17475 Greifswald, Germany; (H.V.); (C.O.S.); (A.T.); (T.I.); (W.H.); (J.-F.C.)
| | - Andreas Stahl
- Clinic of Ophthalmology, University Medicine Greifswald, 17475 Greifswald, Germany; (A.S.); (F.T.)
| | - Frank Tost
- Clinic of Ophthalmology, University Medicine Greifswald, 17475 Greifswald, Germany; (A.S.); (F.T.)
| | - Nele Friedrich
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Stephanie Zylla
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Anke Hannemann
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, 10785 Berlin, Germany; (M.N.); (S.F.); (M.D.); (M.R.P.M.); (U.V.); (N.F.); (S.Z.); (A.H.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Martin Lotze
- Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany;
| | - Jens-Peter Kühn
- Institute and Policlinic of Diagnostic and Interventional Radiology, Medical University, Carl-Gustav Carus, 01307 Dresden, Germany;
| | - Katrin Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany; (N.H.); (R.B.); (M.D.); (K.H.); (C.R.)
| | - Christian Rosenberg
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany; (N.H.); (R.B.); (M.D.); (K.H.); (C.R.)
| | - Georgi Wassilew
- Clinic of Orthopedics, University Medicine Greifswald, 17475 Greifswald, Germany;
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany; (S.F.); (K.W.); (H.J.G.)
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany; (S.F.); (K.W.); (H.J.G.)
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Site Greifswald, 17489 Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany; (S.F.); (K.W.); (H.J.G.)
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Site Greifswald, 17489 Greifswald, Germany
| | - Marie-Luise Kromrey
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany; (N.H.); (R.B.); (M.D.); (K.H.); (C.R.)
- Correspondence:
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5
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Postema MC, Hoogman M, Ambrosino S, Asherson P, Banaschewski T, Bandeira CE, Baranov A, Bau CH, Baumeister S, Baur-Streubel R, Bellgrove MA, Biederman J, Bralten J, Brandeis D, Brem S, Buitelaar JK, Busatto GF, Castellanos FX, Cercignani M, Chaim-Avancini TM, Chantiluke KC, Christakou A, Coghill D, Conzelmann A, Cubillo AI, Cupertino RB, de Zeeuw P, Doyle AE, Durston S, Earl EA, Epstein JN, Ethofer T, Fair DA, Fallgatter AJ, Faraone SV, Frodl T, Gabel MC, Gogberashvili T, Grevet EH, Haavik J, Harrison NA, Hartman CA, Heslenfeld DJ, Hoekstra PJ, Hohmann S, Høvik MF, Jernigan TL, Kardatzki B, Karkashadze G, Kelly C, Kohls G, Konrad K, Kuntsi J, Lazaro L, Lera-Miguel S, Lesch KP, Louza MR, Lundervold AJ, Malpas CB, Mattos P, McCarthy H, Namazova-Baranova L, Rosa N, Nigg JT, Novotny SE, Weiss EO, Tuura RLO, Oosterlaan J, Oranje B, Paloyelis Y, Pauli P, Picon FA, Plessen KJ, Ramos-Quiroga JA, Reif A, Reneman L, Rosa PG, Rubia K, Schrantee A, Schweren LJ, Seitz J, Shaw P, Silk TJ, Skokauskas N, Vila JCS, Stevens MC, Sudre G, Tamm L, Tovar-Moll F, van Erp TG, Vance A, Vilarroya O, Vives-Gilabert Y, von Polier GG, Walitza S, Yoncheva YN, Zanetti MV, Ziegler GC, Glahn DC, Jahanshad N, Medland SE, Thompson PM, Fisher SE, Franke B, Francks C. Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets. J Child Psychol Psychiatry 2021; 62:1202-1219. [PMID: 33748971 PMCID: PMC8455726 DOI: 10.1111/jcpp.13396] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/19/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. METHODS We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. RESULTS There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen's d from -0.18 to 0.18) and would not survive study-wide correction for multiple testing. CONCLUSION Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.
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Affiliation(s)
- Merel C. Postema
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Radboud university medical center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Sara Ambrosino
- NICHE lab, Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Cibele E. Bandeira
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Alexandr Baranov
- Research Institute of Pediatrics and child health of Central clinical hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
| | - Claiton H.D. Bau
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Developmental Psychiatry Program, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Ramona Baur-Streubel
- Department of Biological Psychology, Clinical Psychology and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Mark A. Bellgrove
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Joseph Biederman
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, USA
| | - Janita Bralten
- Department of Human Genetics, Radboud university medical center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
- The Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Silvia Brem
- The Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Jan K. Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
- Karakter child and adolescent psychiatry University Center, Nijmegen, The Netherlands
| | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Francisco X. Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Mara Cercignani
- Department of Neuroscience, Brighton and Sussex Medical School, Falmer, Brighton, UK
| | - Tiffany M. Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Kaylita C. Chantiluke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Anastasia Christakou
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- School of Psychology and Clinical Language Sciences, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, Reading, UK
| | - David Coghill
- Departments of Paediatrics and Psychiatry, University of Melbourne, Melbourne, Australia
- Murdoch Children’s Research Institute, Melbourne, Australia
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Tübingen, Germany
- PFH – Private University of Applied Sciences, Department of Psychology (Clinical Psychology II), Göttingen, Germany
| | - Ana I. Cubillo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Renata B. Cupertino
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Patrick de Zeeuw
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Alysa E. Doyle
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, USA
| | - Sarah Durston
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Eric A. Earl
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Jeffery N. Epstein
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Thomas Ethofer
- Clinic for Psychiatry/Psychotherapy Tübingen / Department for Biomedical Magnetic Resonance, Tübingen
| | - Damien A. Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Andreas J. Fallgatter
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen, Germany
- LEAD Graduate School, University of Tuebingen, Germany
| | - Stephen V. Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Germany
- Department of Psychiatry, Trinity College Dublin, Ireland
| | - Matt C. Gabel
- Department of Neuroscience, Brighton and Sussex Medical School, Falmer, Brighton, UK
| | - Tinatin Gogberashvili
- National Medical Research Center for Children’s Health, Laboratory of Neurology and Cognitive Health, Moscow, Russia
| | - Eugenio H. Grevet
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Developmental Psychiatry Program, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Jan Haavik
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Neil A. Harrison
- Department of Neuroscience, Brighton and Sussex Medical School, Falmer, Brighton, UK
- Sussex Partnership NHS Foundation Trust, Swandean, East Sussex, UK
| | - Catharina A. Hartman
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
| | - Dirk J. Heslenfeld
- Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pieter J. Hoekstra
- University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Marie F. Høvik
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | - Bernd Kardatzki
- Department of Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany
| | - Georgii Karkashadze
- Research Institute of Pediatrics and child health of Central clinical hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
| | - Clare Kelly
- School of Psychology and Department of Psychiatry at the School of Medicine, Trinity College Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
| | - Gregor Kohls
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital RWTH Aachen, Germany
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital RWTH Aachen, Germany
- JARA Institute Molecular Neuroscience and Neuroimaging (INM-11), Institute for Neuroscience and Medicine, Research Center Jülich, Germany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Luisa Lazaro
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Medicine, University of Barcelona, Spain
| | - Sara Lera-Miguel
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciencies, Hospital Clínic, Barcelona
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
- Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Mario R. Louza
- Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Astri J. Lundervold
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Charles B Malpas
- Developmental Imaging Group, Murdoch Children’s Research Institute, Melbourne, Australia
- Clinical Outcomes Research Unit (CORe), Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Paulo Mattos
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro
| | - Hazel McCarthy
- Department of Psychiatry, Trinity College Dublin, Ireland
- Centre of Advanced Medical Imaging, St James’s Hospital, Dublin, Ireland
| | - Leyla Namazova-Baranova
- Research Institute of Pediatrics and child health of Central clinical hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
- Russian National Research Medical University Ministry of Health of the Russian Federation, Moscow, Russia
| | - Nicolau Rosa
- Department of Child and Adolescent Psychiatry and Psychology, Institut of Neurosciencies, Hospital Clínic, Barcelona, Spain
| | - Joel T Nigg
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
- Department of Psychiatry, Oregon Health & Science University, Portland OR, USA
| | | | - Eileen Oberwelland Weiss
- Translational Neuroscience, Child and Adolescent Psychiatry, University Hospital RWTH Aachen, Aachen, Germany
- Cognitive Neuroscience (INM-3), Institute for Neuroscience and Medicine, Research Center Jülich
| | - Ruth L. O’Gorman Tuura
- Center for MR Research, University Children’s Hospital, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology (ZIHP)
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Emma Children’s Hospital Amsterdam University Medical Centers, University of Amsterdam, Emma Neuroscience Group, department of Pediatrics, Amsterdam Reproduction & Development, Amsterdam, The Netherlands
| | - Bob Oranje
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Yannis Paloyelis
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paul Pauli
- Department of Psychology (Biological Psychology, Clinical Psychology and Psychotherapy) and Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Felipe A. Picon
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Kerstin J. Plessen
- Child and Adolescent Mental Health Centre, Capital Region Copenhagen, Denmark
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University Hospital Lausanne, Switzerland
| | - J. Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia, Spain
- Group of Psychiatry, Mental Health and Addictions, Vall d’Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Catalonia, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Liesbeth Reneman
- Amsterdam University Medical Center, Academic Medical Center, Amsterdam, the Netherlands
| | - Pedro G.P. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam; the Netherlands
| | - Lizanne J.S. Schweren
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
| | - Jochen Seitz
- Child and Adolescent Psychiatry, University Hospital RWTH Aachen, Aachen, Germany
| | - Philip Shaw
- National Human Genome Research Institute and National Institute of Mental health, Bethesda, MD, USA
| | - Tim J. Silk
- Deakin University, School of Psychology, Geelong, Australia
- Murdoch Children’s Research Institute, Developmental Imaging, Melbourne, Australia
| | - Norbert Skokauskas
- Centre for child and adolescent mental health, NTNU, Norway
- Institute of Mental Health, Norwegian University of Science and Technology
| | | | - Michael C. Stevens
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Yale University School of Medicine, USA
| | - Gustavo Sudre
- National Human Genome Research Institute, Bethesda, MD, USA
| | - Leanne Tamm
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, USA
- College of Medicine, University of Cincinnati, USA
| | - Fernanda Tovar-Moll
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Morphological Sciences Program, Federal University of Rio de Janeiro, Rio de Janeiro
| | - Theo G.M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, 5251 California Ave, Irvine, CA, 92617, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, 309 Qureshey Research Lab, Irvine, CA, 92697, USA
| | - Alasdair Vance
- Department of Paediatrics, University of Melbourne, Australia
| | - Oscar Vilarroya
- Department of Psychiatry and Forensic Medicine, Universitat Autonoma de Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | | | - Georg G. von Polier
- Child and Adolescent Psychiatry, University Hospital RWTH Aachen, Aachen, Germany
- Brain and Behavior (INM-7), Institute for Neuroscience and Medicine, Research Center Jülich, Germany
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Yuliya N. Yoncheva
- Department of Child and Adolescent Psychiatry, NYU Child Study Center, Hassenfeld Children’s Hospital at NYU Langone
| | - Marcus V. Zanetti
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
- Hospital Sírio-Libanês, São Paulo Brazil
| | - Georg C. Ziegler
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - David C. Glahn
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115-5724, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90292
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Paul M. Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud university medical center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
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Abstract
Asymmetries in the functional and structural organization of the nervous system are widespread in the animal kingdom and especially characterize the human brain. Although there is little doubt that asymmetries arise through genetic and nongenetic factors, an overarching model to explain the development of functional lateralization patterns is still lacking. Current genetic psychology collects data on genes relevant to brain lateralizations, while animal research provides information on the cellular mechanisms mediating the effects of not only genetic but also environmental factors. This review combines data from human and animal research (especially on birds) and outlines a multi-level model for asymmetry formation. The relative impact of genetic and nongenetic factors varies between different developmental phases and neuronal structures. The basic lateralized organization of a brain is already established through genetically controlled embryonic events. During ongoing development, hemispheric specialization increases for specific functions and subsystems interact to shape the final functional organization of a brain. In particular, these developmental steps are influenced by environmental experiences, which regulate the fine-tuning of neural networks via processes that are referred to as ontogenetic plasticity. The plastic potential of the nervous system could be decisive for the evolutionary success of lateralized brains.
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Zeng Q, Li K, Luo X, Wang S, Xu X, Li Z, Zhang T, Liu X, Fu Y, Xu X, Wang C, Wang T, Zhou J, Liu Z, Chen Y, Huang P, Zhang M. Distinct Atrophy Pattern of Hippocampal Subfields in Patients with Progressive and Stable Mild Cognitive Impairment: A Longitudinal MRI Study. J Alzheimers Dis 2021; 79:237-247. [PMID: 33252076 DOI: 10.3233/jad-200775] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND Predicting the prognosis of mild cognitive impairment (MCI) has outstanding clinical value, and the hippocampal volume is a reliable imaging biomarker of AD diagnosis. OBJECTIVE We aimed to longitudinally assess hippocampal sub-regional difference (volume and asymmetry) among progressive MCI (pMCI), stable MCI (sMCI) patients, and normal elderly. METHODS We identified 29 pMCI, 52 sMCI, and 102 normal controls (NC) from the ADNI database. All participants underwent neuropsychological assessment and 3T MRI scans three times. The time interval between consecutive MRI sessions was about 1 year. Volumes of hippocampal subfield were measured by Freesurfer. Based on the analysis of variance, repeated measures analyses, and receiver operating characteristic curves, we compared cross-sectional and longitudinal alteration sub-regional volume and asymmetry index. RESULTS Compared to NC, both MCI groups showed significant atrophy in all subfields. At baseline, pMCI have a smaller volume than sMCI in the bilateral subiculum, molecular layer (ML), the molecular and granule cell layers of the dentate gyrus, cornu ammonis 4, and right tail. Furthermore, repeated measures analyses revealed that pMCI patients showed a faster volume loss than sMCI in bilateral subiculum and ML. After controlling for age, gender, and education, most results remained unchanged. However, none of the hippocampal sub-regional volumes performed better than the whole hippocampus in ROC analyses, and no asymmetric difference between pMCI and sMCI was found. CONCLUSION The faster volume loss in subiculum and ML suggest a higher risk of disease progression in MCI patients. The hippocampal asymmetry may have smaller value in predicting the MCI prognosis.
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Affiliation(s)
- Qingze Zeng
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Kaicheng Li
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiao Luo
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Shuyue Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiaopei Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Zheyu Li
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Tianyi Zhang
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiaocao Liu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Yanv Fu
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiaojun Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Chao Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Tao Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Jiong Zhou
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Zhirong Liu
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Yanxing Chen
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Peiyu Huang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Minming Zhang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
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Quantitative comparison of subcortical and ventricular volumetry derived from MPRAGE and MP2RAGE images using different brain morphometry software. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2021; 34:903-914. [PMID: 34052900 DOI: 10.1007/s10334-021-00933-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/07/2021] [Accepted: 05/19/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE In brain volume assessment with MR imaging, it is of interest to know the effects of the pulse sequence and software used, to determine whether they provide equivalent data. The aim of this study was to compare cross-sectional volumes of subcortical and ventricular structures and their repeatability derived from MP2RAGE and MPRAGE images using MorphoBox, and FIRST or ALVIN. MATERIALS AND METHODS MPRAGE and MP2RAGE T1-weighted images were obtained from 24 healthy volunteers. Back-to-back scans were performed in 12 of them. Volumes, coefficients of variation, concordance, and correlations were determined. RESULTS Significant differences were found for volumes derived from MorphoBox and FIRST. Ventricular volumes determined by MorphoBox and ALVIN were similar. Differences between volumes obtained using MPRAGE and MP2RAGE were significant for a few regions. Coefficients of variation, ranged from 0.2 to 9.1%, showed a significant inverse correlation with the mean volume. There was a correlation between volume measures, but agreement was rated as poor for most regions. CONCLUSION MP2RAGE sequences and MorphoBox are valid options for assessing subcortical and ventricular volumes, in the same way as MPRAGE and FIRST or ALVIN, accepted tools for clinical research. However, caution is needed when comparing volumes obtained with different tools.
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Poloni KM, Duarte de Oliveira IA, Tam R, Ferrari RJ. Brain MR image classification for Alzheimer’s disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.07.102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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10
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Socioeconomic disadvantage, brain morphometry, and attentional bias to threat in middle childhood. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2020; 19:309-326. [PMID: 30460484 DOI: 10.3758/s13415-018-00670-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Socioeconomic disadvantage is associated with higher rates of psychopathology as well as hippocampus, amygdala and prefrontal cortex structure. However, little is known about how variations in brain morphometry are associated with socio-emotional risks for mood disorders in children growing up in families experiencing low income. In the current study, using structural magnetic resonance imaging, we examined the relationship between socioeconomic disadvantage and gray matter volume in the hippocampus, amygdala, and ventrolateral prefrontal cortex in a sample of children (n = 34) in middle childhood. Using an affective dot probe paradigm, we examined the association between gray matter volume in these regions and attentional bias to threat, a risk marker for mood disorders including anxiety disorders. We found that lower income-to-needs ratio was associated with lower bilateral hippocampal and right amygdala volume, but not prefrontal cortex volumes. Moreover, lower attentional bias to threat was associated with greater left hippocampal volume. We provide evidence of a relationship between income-related variations in brain structure and attentional bias to threat, a risk for mood disorders. Therefore, these findings support an environment-morphometry-behavior relationship that contributes to the understanding of income-related mental health disparities in childhood.
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Kaufmann LK, Hänggi J, Jäncke L, Baur V, Piccirelli M, Kollias S, Schnyder U, Martin-Soelch C, Milos G. Age influences structural brain restoration during weight gain therapy in anorexia nervosa. Transl Psychiatry 2020; 10:126. [PMID: 32366823 PMCID: PMC7198513 DOI: 10.1038/s41398-020-0809-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 04/15/2020] [Accepted: 04/17/2020] [Indexed: 01/22/2023] Open
Abstract
Neuroimaging studies on anorexia nervosa (AN) have consistently reported globally reduced gray matter in patients with acute AN. While first studies on adolescent AN patients provide evidence for the reversibility of these impairments after weight gain, longitudinal studies with detailed regional analysis for adult AN patients are lacking and factors associated with brain restitution are poorly understood. We investigated structural changes in anorexia nervosa using T1-weighted magnetic resonance images with surface-based morphometry. The sample consisted of 26 adult women with severe AN and 30 healthy controls. The longitudinal design comprised three time points, capturing the course of weight-restoration therapy in AN patients at distinct stages of weight gain (BMI ≤ 15.5 kg/m2; 15.5 < BMI < 17.5 kg/m2; BMI ≥ 17.5 kg/m2). Compared to controls, AN patients showed globally decreased cortical thickness and subcortical volumes at baseline. Linear mixed effect models revealed the reversibility of these alterations, with brain restoration being most pronounced during the first half of treatment. The restoration of cortical thickness of AN patients negatively correlated with age, but not duration of illness. After weight restoration, residual group differences of cortical thickness remained in the superior frontal cortex. These findings indicate that structural brain alterations of adult patients with severe AN recuperate independently of the duration of illness during weight-restoration therapy. The temporal pattern of brain restoration suggests a decrease in restoration rate over the course of treatment, with patients' age as a strong predictor of brain restitution, possibly reflecting decreases of brain plasticity as patients grow older.
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Affiliation(s)
- Lisa-Katrin Kaufmann
- Department of Consultation-Liaison Psychiatry and Psychosomatics, University Hospital Zurich, University of Zurich, Zurich, Switzerland. .,Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland. .,Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland.
| | - Jürgen Hänggi
- grid.7400.30000 0004 1937 0650Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Lutz Jäncke
- grid.7400.30000 0004 1937 0650Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650International Normal Aging and Plasticity Imaging Center (INAPIC), University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University Research Priority Program (URPP) “Dynamic of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Volker Baur
- grid.7400.30000 0004 1937 0650Department of Consultation-Liaison Psychiatry and Psychosomatics, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marco Piccirelli
- grid.412004.30000 0004 0478 9977Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - Spyros Kollias
- grid.412004.30000 0004 0478 9977Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - Ulrich Schnyder
- grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Chantal Martin-Soelch
- grid.8534.a0000 0004 0478 1713Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Gabriella Milos
- grid.7400.30000 0004 1937 0650Department of Consultation-Liaison Psychiatry and Psychosomatics, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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12
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Tilot AK, Vino A, Kucera KS, Carmichael DA, van den Heuvel L, den Hoed J, Sidoroff-Dorso AV, Campbell A, Porteous DJ, St Pourcain B, van Leeuwen TM, Ward J, Rouw R, Simner J, Fisher SE. Investigating genetic links between grapheme-colour synaesthesia and neuropsychiatric traits. Philos Trans R Soc Lond B Biol Sci 2019; 374:20190026. [PMID: 31630655 PMCID: PMC6834005 DOI: 10.1098/rstb.2019.0026] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2019] [Indexed: 12/22/2022] Open
Abstract
Synaesthesia is a neurological phenomenon affecting perception, where triggering stimuli (e.g. letters and numbers) elicit unusual secondary sensory experiences (e.g. colours). Family-based studies point to a role for genetic factors in the development of this trait. However, the contributions of common genomic variation to synaesthesia have not yet been investigated. Here, we present the SynGenes cohort, the largest genotyped collection of unrelated people with grapheme-colour synaesthesia (n = 723). Synaesthesia has been associated with a range of other neuropsychological traits, including enhanced memory and mental imagery, as well as greater sensory sensitivity. Motivated by the prior literature on putative trait overlaps, we investigated polygenic scores derived from published genome-wide scans of schizophrenia and autism spectrum disorder (ASD), comparing our SynGenes cohort to 2181 non-synaesthetic controls. We found a very slight association between schizophrenia polygenic scores and synaesthesia (Nagelkerke's R2 = 0.0047, empirical p = 0.0027) and no significant association for scores related to ASD (Nagelkerke's R2 = 0.00092, empirical p = 0.54) or body mass index (R2 = 0.00058, empirical p = 0.60), included as a negative control. As sample sizes for studying common genomic variation continue to increase, genetic investigations of the kind reported here may yield novel insights into the shared biology between synaesthesia and other traits, to complement findings from neuropsychology and brain imaging. This article is part of a discussion meeting issue 'Bridging senses: novel insights from synaesthesia'.
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Affiliation(s)
- Amanda K. Tilot
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA 90033, USA
| | - Arianna Vino
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
| | - Katerina S. Kucera
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
| | - Duncan A. Carmichael
- School of Applied Sciences, Edinburgh Napier University, Sighthill Court, Edinburgh EH11 4BN, UK
| | - Loes van den Heuvel
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
| | - Joery den Hoed
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
| | | | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH16 4UX, UK
| | - David J. Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
| | - Tessa M. van Leeuwen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6500 HE Nijmegen, The Netherlands
| | - Jamie Ward
- School of Psychology, University of Sussex, Brighton BN1 9RH, UK
| | - Romke Rouw
- Department of Psychology, University of Amsterdam, 1018 WT Amsterdam, The Netherlands
| | - Julia Simner
- School of Psychology, University of Sussex, Brighton BN1 9RH, UK
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6500 HE Nijmegen, The Netherlands
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13
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Pagnozzi AM, Fripp J, Rose SE. Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies. Neuroimage 2019; 201:116018. [PMID: 31319182 DOI: 10.1016/j.neuroimage.2019.116018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 07/01/2019] [Accepted: 07/12/2019] [Indexed: 12/13/2022] Open
Abstract
The deep grey matter (DGM) nuclei of the brain play a crucial role in learning, behaviour, cognition, movement and memory. Although automated segmentation strategies can provide insight into the impact of multiple neurological conditions affecting these structures, such as Multiple Sclerosis (MS), Huntington's disease (HD), Alzheimer's disease (AD), Parkinson's disease (PD) and Cerebral Palsy (CP), there are a number of technical challenges limiting an accurate automated segmentation of the DGM. Namely, the insufficient contrast of T1 sequences to completely identify the boundaries of these structures, as well as the presence of iso-intense white matter lesions or extensive tissue loss caused by brain injury. Therefore in this systematic review, 269 eligible studies were analysed and compared to determine the optimal approaches for addressing these technical challenges. The automated approaches used among the reviewed studies fall into three broad categories, atlas-based approaches focusing on the accurate alignment of atlas priors, algorithmic approaches which utilise intensity information to a greater extent, and learning-based approaches that require an annotated training set. Studies that utilise freely available software packages such as FIRST, FreeSurfer and LesionTOADS were also eligible, and their performance compared. Overall, deep learning approaches achieved the best overall performance, however these strategies are currently hampered by the lack of large-scale annotated data. Improving model generalisability to new datasets could be achieved in future studies with data augmentation and transfer learning. Multi-atlas approaches provided the second-best performance overall, and may be utilised to construct a "silver standard" annotated training set for deep learning. To address the technical challenges, providing robustness to injury can be improved by using multiple channels, highly elastic diffeomorphic transformations such as LDDMM, and by following atlas-based approaches with an intensity driven refinement of the segmentation, which has been done with the Expectation Maximisation (EM) and level sets methods. Accounting for potential lesions should be achieved with a separate lesion segmentation approach, as in LesionTOADS. Finally, to address the issue of limited contrast, R2*, T2* and QSM sequences could be used to better highlight the DGM due to its higher iron content. Future studies could look to additionally acquire these sequences by retaining the phase information from standard structural scans, or alternatively acquiring these sequences for only a training set, allowing models to learn the "improved" segmentation from T1-sequences alone.
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Affiliation(s)
- Alex M Pagnozzi
- CSIRO Health and Biosecurity, The Australian e-Health Research Centre, Brisbane, Australia.
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, The Australian e-Health Research Centre, Brisbane, Australia
| | - Stephen E Rose
- CSIRO Health and Biosecurity, The Australian e-Health Research Centre, Brisbane, Australia
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14
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Varón-González C, Navarro N. Epistasis regulates the developmental stability of the mouse craniofacial shape. Heredity (Edinb) 2019; 122:501-512. [PMID: 30209292 PMCID: PMC6461946 DOI: 10.1038/s41437-018-0140-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 07/13/2018] [Accepted: 07/14/2018] [Indexed: 12/19/2022] Open
Abstract
Fluctuating asymmetry is a classic concept linked to organismal development. It has traditionally been used as a measure of developmental instability, which is the inability of an organism to buffer environmental fluctuations during development. Developmental stability has a genetic component that influences the final phenotype of the organism and can lead to congenital disorders. According to alternative hypotheses, this genetic component might be either the result of additive genetic effects or a by-product of developmental gene networks. Here we present a genome-wide association study of the genetic architecture of fluctuating asymmetry of the skull shape in mice. Geometric morphometric methods were applied to quantify fluctuating asymmetry: we estimated fluctuating asymmetry as Mahalanobis distances to the mean asymmetry, correcting first for genetic directional asymmetry. We applied the marginal epistasis test to study epistasis among genomic regions. Results showed no evidence of additive effects but several interacting regions significantly associated with fluctuating asymmetry. Among the candidate genes overlapping these interacting regions we found an over-representation of genes involved in craniofacial development. A gene network is likely to be associated with skull developmental stability, and genes originally described as buffering genes (e.g., Hspa2) might occupy central positions within these networks, where regulatory elements may also play an important role. Our results constitute an important step in the exploration of the molecular roots of developmental stability and the first empirical evidence about its genetic architecture.
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Affiliation(s)
- Ceferino Varón-González
- Biogéosciences, UMR CNRS 6282, Université Bourgogne Franche-Comté, 6 Bd Gabriel, 21000, Dijon, France
| | - Nicolas Navarro
- Biogéosciences, UMR CNRS 6282, Université Bourgogne Franche-Comté, 6 Bd Gabriel, 21000, Dijon, France.
- EPHE, PSL University, 6 Bd Gabriel, 21000, Dijon, France.
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15
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Gunz P, Tilot AK, Wittfeld K, Teumer A, Shapland CY, van Erp TGM, Dannemann M, Vernot B, Neubauer S, Guadalupe T, Fernández G, Brunner HG, Enard W, Fallon J, Hosten N, Völker U, Profico A, Di Vincenzo F, Manzi G, Kelso J, St Pourcain B, Hublin JJ, Franke B, Pääbo S, Macciardi F, Grabe HJ, Fisher SE. Neandertal Introgression Sheds Light on Modern Human Endocranial Globularity. Curr Biol 2018; 29:120-127.e5. [PMID: 30554901 PMCID: PMC6380688 DOI: 10.1016/j.cub.2018.10.065] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 09/21/2018] [Accepted: 10/31/2018] [Indexed: 12/15/2022]
Abstract
One of the features that distinguishes modern humans from our extinct relatives and ancestors is a globular shape of the braincase [1-4]. As the endocranium closely mirrors the outer shape of the brain, these differences might reflect altered neural architecture [4, 5]. However, in the absence of fossil brain tissue, the underlying neuroanatomical changes as well as their genetic bases remain elusive. To better understand the biological foundations of modern human endocranial shape, we turn to our closest extinct relatives: the Neandertals. Interbreeding between modern humans and Neandertals has resulted in introgressed fragments of Neandertal DNA in the genomes of present-day non-Africans [6, 7]. Based on shape analyses of fossil skull endocasts, we derive a measure of endocranial globularity from structural MRI scans of thousands of modern humans and study the effects of introgressed fragments of Neandertal DNA on this phenotype. We find that Neandertal alleles on chromosomes 1 and 18 are associated with reduced endocranial globularity. These alleles influence expression of two nearby genes, UBR4 and PHLPP1, which are involved in neurogenesis and myelination, respectively. Our findings show how integration of fossil skull data with archaic genomics and neuroimaging can suggest developmental mechanisms that may contribute to the unique modern human endocranial shape.
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Affiliation(s)
- Philipp Gunz
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany.
| | - Amanda K Tilot
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH, Nijmegen, the Netherlands
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University of Greifswald, Ellernholzstr. 1-2, 17489 Greifswald, Germany; German Center for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Ellernholzstr. 1-2, 17489 Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Walter-Rathenau Str. 48, 17475 Greifswald, Germany
| | - Chin Yang Shapland
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH, Nijmegen, the Netherlands
| | - Theo G M van Erp
- Clinical and Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, 5251 California Ave, Irvine, CA 92617, USA
| | - Michael Dannemann
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Benjamin Vernot
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Simon Neubauer
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH, Nijmegen, the Netherlands
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 GA, Nijmegen, the Netherlands
| | - Han G Brunner
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, 6500 GA, Nijmegen, the Netherlands; Department of Clinical Genetics and School for Oncology & Developmental Biology (GROW), Maastricht University Medical Center, 6202 AZ, Maastricht, the Netherlands
| | - Wolfgang Enard
- Anthropology and Human Genomics, Department Biology II, Ludwig Maximilians University Munich, Grosshaderner Str. 2, D-82152 Martinsried, Germany
| | - James Fallon
- Department of Anatomy and Neurobiology, University of California, Irvine, Irvine, CA 92697, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine, Ernst-Moritz-Arndt-University Greifswald, Ferdinand-Sauerbruch-Str. 1, 17475 Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Felix-Hausdorff-Str. 8, 17475 Greifswald, Germany
| | - Antonio Profico
- Università degli Studi di Roma La Sapienza, Department of Environmental Biology, Piazzale Aldo Moro, 5, 00185, Roma, Italy
| | - Fabio Di Vincenzo
- Università degli Studi di Roma La Sapienza, Department of Environmental Biology, Piazzale Aldo Moro, 5, 00185, Roma, Italy; Istituto Italiano di Paleontologia Umana, Via Ulisse Aldrovandi, 18, 00197, Roma, Italy
| | - Giorgio Manzi
- Università degli Studi di Roma La Sapienza, Department of Environmental Biology, Piazzale Aldo Moro, 5, 00185, Roma, Italy
| | - Janet Kelso
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands
| | - Jean-Jacques Hublin
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands; Departments of Human Genetics and Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Svante Pääbo
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California, Irvine, Sprague Hall - Room 312, Gillespie Neuroscience - Laboratory, Mail Code: 3960, Irvine, CA 92697, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University of Greifswald, Ellernholzstr. 1-2, 17489 Greifswald, Germany
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands.
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16
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Sarica A, Vasta R, Novellino F, Vaccaro MG, Cerasa A, Quattrone A. MRI Asymmetry Index of Hippocampal Subfields Increases Through the Continuum From the Mild Cognitive Impairment to the Alzheimer's Disease. Front Neurosci 2018; 12:576. [PMID: 30186103 PMCID: PMC6111896 DOI: 10.3389/fnins.2018.00576] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 07/30/2018] [Indexed: 12/14/2022] Open
Abstract
Objective: It is well-known that the hippocampus presents significant asymmetry in Alzheimer's disease (AD) and that difference in volumes between left and right exists and varies with disease progression. However, few works investigated whether the asymmetry degree of subfields of hippocampus changes through the continuum from Mild Cognitive Impairment (MCI) to AD. Thus, aim of the present work was to evaluate the Asymmetry Index (AI) of hippocampal substructures as possible MRI biomarkers of Dementia. Moreover, we aimed to assess whether the subfields presented peculiar differences between left and right hemispheres. We also investigated the relationship between the asymmetry magnitude in hippocampal subfields and the decline of verbal memory as assessed by Rey's auditory verbal learning test (RAVLT). Methods: Four-hundred subjects were selected from ADNI, equally divided into healthy controls (HC), AD, stable MCI (sMCI), and progressive MCI (pMCI). The structural baseline T1s were processed with FreeSurfer 6.0 and volumes of whole hippocampus (WH) and 12 subfields were extracted. The AI was calculated as: (|Left-Right|/(Left+Right))*100. ANCOVA was used for evaluating AI differences between diagnoses, while paired t-test was applied for assessing changes between left and right volumes, separately for each group. Partial correlation was performed for exploring relationship between RAVLT summary scores (Immediate, Learning, Forgetting, Percent Forgetting) and hippocampal substructures AI. The statistical threshold was Bonferroni corrected p < 0.05/13 = 0.0038. Results: We found a general trend of increased degree of asymmetry with increasing severity of diagnosis. Indeed, AD presented the higher magnitude of asymmetry compared with HC, sMCI and pMCI, in the WH (AI mean 5.13 ± 4.29 SD) and in each of its twelve subfields. Moreover, we found in AD a significant negative correlation (r = -0.33, p = 0.00065) between the AI of parasubiculum (mean 12.70 ± 9.59 SD) and the RAVLT Learning score (mean 1.70 ± 1.62 SD). Conclusions: Our findings showed that hippocampal subfields AI varies differently among the four groups HC, sMCI, pMCI, and AD. Moreover, we found-for the first time-that hippocampal substructures had different sub-patterns of lateralization compared with the whole hippocampus. Importantly, the severity in learning rate was correlated with pathological high degree of asymmetry in parasubiculum of AD patients.
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Affiliation(s)
- Alessia Sarica
- Neuroscience Centre, Magna Graecia University, Catanzaro, Italy
| | - Roberta Vasta
- Neuroscience Centre, Magna Graecia University, Catanzaro, Italy
| | - Fabiana Novellino
- Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
| | | | - Antonio Cerasa
- Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
- S. Anna Institute and Research in Advanced Neurorehabilitation, Crotone, Italy
| | - Aldo Quattrone
- Neuroscience Centre, Magna Graecia University, Catanzaro, Italy
- Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
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17
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Ten Kate M, Barkhof F, Boccardi M, Visser PJ, Jack CR, Lovblad KO, Frisoni GB, Scheltens P. Clinical validity of medial temporal atrophy as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiol Aging 2017; 52:167-182.e1. [PMID: 28317647 DOI: 10.1016/j.neurobiolaging.2016.05.024] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 05/01/2016] [Accepted: 05/10/2016] [Indexed: 01/18/2023]
Abstract
Research criteria for Alzheimer's disease recommend the use of biomarkers for diagnosis, but whether biomarkers improve the diagnosis in clinical routine has not been systematically assessed. The aim is to evaluate the evidence for use of medial temporal lobe atrophy (MTA) as a biomarker for Alzheimer's disease at the mild cognitive impairment stage in routine clinical practice, with an adapted version of the 5-phase oncology framework for biomarker development. A literature review on visual assessment of MTA and hippocampal volumetry was conducted with other biomarkers addressed in parallel reviews. Ample evidence is available for phase 1 (rationale for use) and phase 2 (discriminative ability between diseased and control subjects). Phase 3 (early detection ability) is partly achieved: most evidence is derived from research cohorts or clinical populations with short follow-up, but validation in clinical mild cognitive impairment cohorts is required. In phase 4, only the practical feasibility has been addressed for visual rating of MTA. The rest of phase 4 and phase 5 have not yet been addressed.
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Affiliation(s)
- Mara Ten Kate
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands; European Society of Neuroradiology (ESNR); Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Marina Boccardi
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS S.Giovanni di Dio - Fatebenefratelli, Brescia, Italy; LANVIE (Laboratory of Neuroimaging of Aging) - Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands; Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | | | - Karl-Olof Lovblad
- Department of Neuroradiology, University Hospital of Geneva, Geneva, Switzerland
| | - Giovanni B Frisoni
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK; Memory Clinic - Department of Internal Medicine, University Hospital of Geneva, Geneva, Switzerland
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
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18
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Guadalupe T, Mathias SR, vanErp TGM, Whelan CD, Zwiers MP, Abe Y, Abramovic L, Agartz I, Andreassen OA, Arias-Vásquez A, Aribisala BS, Armstrong NJ, Arolt V, Artiges E, Ayesa-Arriola R, Baboyan VG, Banaschewski T, Barker G, Bastin ME, Baune BT, Blangero J, Bokde ALW, Boedhoe PSW, Bose A, Brem S, Brodaty H, Bromberg U, Brooks S, Büchel C, Buitelaar J, Calhoun VD, Cannon DM, Cattrell A, Cheng Y, Conrod PJ, Conzelmann A, Corvin A, Crespo-Facorro B, Crivello F, Dannlowski U, de Zubicaray GI, de Zwarte SMC, Deary IJ, Desrivières S, Doan NT, Donohoe G, Dørum ES, Ehrlich S, Espeseth T, Fernández G, Flor H, Fouche JP, Frouin V, Fukunaga M, Gallinat J, Garavan H, Gill M, Suarez AG, Gowland P, Grabe HJ, Grotegerd D, Gruber O, Hagenaars S, Hashimoto R, Hauser TU, Heinz A, Hibar DP, Hoekstra PJ, Hoogman M, Howells FM, Hu H, Hulshoff Pol HE, Huyser C, Ittermann B, Jahanshad N, Jönsson EG, Jurk S, Kahn RS, Kelly S, Kraemer B, Kugel H, Kwon JS, Lemaitre H, Lesch KP, Lochner C, Luciano M, Marquand AF, Martin NG, Martínez-Zalacaín I, Martinot JL, Mataix-Cols D, Mather K, McDonald C, McMahon KL, Medland SE, Menchón JM, Morris DW, Mothersill O, Maniega SM, Mwangi B, Nakamae T, Nakao T, Narayanaswaamy JC, Nees F, Nordvik JE, Onnink AMH, Opel N, Ophoff R, Paillère Martinot ML, Papadopoulos Orfanos D, Pauli P, Paus T, Poustka L, Reddy JY, Renteria ME, Roiz-Santiáñez R, Roos A, Royle NA, Sachdev P, Sánchez-Juan P, Schmaal L, Schumann G, Shumskaya E, Smolka MN, Soares JC, Soriano-Mas C, Stein DJ, Strike LT, Toro R, Turner JA, Tzourio-Mazoyer N, Uhlmann A, Hernández MV, van den Heuvel OA, van der Meer D, van Haren NEM, Veltman DJ, Venkatasubramanian G, Vetter NC, Vuletic D, Walitza S, Walter H, Walton E, Wang Z, Wardlaw J, Wen W, Westlye LT, Whelan R, Wittfeld K, Wolfers T, Wright MJ, Xu J, Xu X, Yun JY, Zhao J, Franke B, Thompson PM, Glahn DC, Mazoyer B, Fisher SE, Francks C. Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging Behav 2017; 11:1497-1514. [PMID: 27738994 PMCID: PMC5540813 DOI: 10.1007/s11682-016-9629-z] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders.
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Affiliation(s)
- Tulio Guadalupe
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Nijmegen, The Netherlands
| | - Samuel R Mathias
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06519, USA
| | - Theo G M vanErp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Christopher D Whelan
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
- Molecular and Cellular Therapeutics, The Royal College of Surgeons, Dublin 2, Ireland
| | - Marcel P Zwiers
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Lucija Abramovic
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Ingrid Agartz
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Development, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden
| | - Ole A Andreassen
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Alejandro Arias-Vásquez
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Benjamin S Aribisala
- Department of Computer Science, Lagos State University, Lagos, Nigeria
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - Nicola J Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
- Mathematics and Statistics, Murdoch University, Murdoch, Australia
| | - Volker Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes -Sorbonne Paris Cité, Paris, France
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Vatche G Baboyan
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, USA
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Gareth Barker
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Mark E Bastin
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
| | - Bernhard T Baune
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, 5005, Australia
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neurosciences, Trinity College Dublin, Dublin, Ireland
| | - Premika S W Boedhoe
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
- Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
| | - Anushree Bose
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Silvia Brem
- University Clinic for and Adolescent Psychiatry UCCAP, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), & Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Samantha Brooks
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry, Radboud university medical center, Nijmegen, The Netherlands
| | - Vince D Calhoun
- Departments of Electrical and Computer Engineering,Neurosciences, Computer Science, and Psychiatry, The University of New Mexico, Albuquerque, NM, USA
- The Mind Research Network, Albuquerque, NM, USA
| | - Dara M Cannon
- Centre for Neuroimaging, Cognition & Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - Anna Cattrell
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Yuqi Cheng
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Patricia J Conrod
- Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Montréal, Canada
- Department of Psychological Medicine and Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Annette Conzelmann
- Department of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), University of Würzburg, Germany, Tübingen, Würzburg, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Aiden Corvin
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | | | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Greig I de Zubicaray
- Faculty of Health and Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane City, Australia
| | - Sonja M C de Zwarte
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nhat Trung Doan
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, SW4 794, Galway, Ireland
- Department of Psychiatry & trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Erlend S Dørum
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Stefan Ehrlich
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
- Department of Psychiatry, Massachusetts General Hospital, Boston, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, USA
| | - Thomas Espeseth
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT - KG Jebsen Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Jean-Paul Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique, CEA-Saclay Center, Paris, France
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Japan
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Martinistrasse 52, 20246, Hamburg, Germany
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Michael Gill
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Andrea Gonzalez Suarez
- Service of Neurology, University Hospital Marqués de Valdecilla (IDIVAL), University of Cantabria (UC), Santander, Spain
- CIBERNED, Centro de Investigación Biomédica en red Enfermedades Neurodegenerativas, Madrid, Spain
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Hans J Grabe
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, HELIOS Hospital Stralsund, Stralsund, Germany
| | | | - Oliver Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, D-37075, Göttingen, Germany
| | - Saskia Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tobias U Hauser
- University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, Zurich, Switzerland
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
- UCL Max Planck Centre for Computational Psychiatry and Ageing, University College London, London, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Derrek P Hibar
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Pieter J Hoekstra
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Fleur M Howells
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Hao Hu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 Wan Ping Nan Road, Shanghai, 200030, China
| | | | - Chaim Huyser
- De Bascule, Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
- AMC, department of child and adolescent psychiatry, Amsterdam, The Netherlands
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Neda Jahanshad
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, USA
| | - Erik G Jönsson
- Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine. Psychiatry section, University of Oslo, Oslo, Norway
| | - Sarah Jurk
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Rene S Kahn
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Sinead Kelly
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, 90292, USA
| | - Bernd Kraemer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, D-37075, Göttingen, Germany
| | - Harald Kugel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Jun Soo Kwon
- Department of Psychiatry & Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
- Department of Brain & Cognitive Sciences, College of Natural Science, Seoul National University, Seoul, Republic of Korea
| | - Herve Lemaitre
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes -Sorbonne Paris Cité, Paris, France
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
- Department of Translational Neuroscience, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Christine Lochner
- Department of Psychiatry, University of Stellenbosch and MRC Unit on Anxiety & Stress Disorders, Tygerberg, Cape Town, South Africa
| | - Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Andre F Marquand
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | | | - Ignacio Martínez-Zalacaín
- Department of Psychiatry, Bellvitge University Hospital - Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes - Sorbonne Paris Cité, and Maison de Solenn, Paris, France
- Maison de Solenn, Paris, France
| | - David Mataix-Cols
- Department of Clinical Neuroscience,Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Karen Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
| | - Colm McDonald
- Centre for Neuroimaging, Cognition & Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - Katie L McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - José M Menchón
- Department of Psychiatry, Bellvitge University Hospital - Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
- CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Derek W Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, SW4 794, Galway, Ireland
| | - Omar Mothersill
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, SW4 794, Galway, Ireland
| | - Susana Munoz Maniega
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Benson Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Neural Computation for Decision-Making, ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | | | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Jan E Nordvik
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - A Marten H Onnink
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Roel Ophoff
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, USA
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes -Sorbonne Paris Cité, Paris, France
- AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, Paris, France
| | | | - Paul Pauli
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Tomáš Paus
- Rotman Research Institute, Baycrest and Departments of Psychology and Psychiatry, University of Toronto, M6A 2E1, Toronto, ON, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Janardhan Yc Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Roberto Roiz-Santiáñez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Annerine Roos
- Department of Psychiatry, University of Stellenbosch and MRC Unit on Anxiety & Stress Disorders, Tygerberg, Cape Town, South Africa
| | - Natalie A Royle
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
| | - Pascual Sánchez-Juan
- Service of Neurology, University Hospital Marqués de Valdecilla (IDIVAL), University of Cantabria (UC), Santander, Spain
- CIBERNED, Centro de Investigación Biomédica en red Enfermedades Neurodegenerativas, Madrid, Spain
| | - Lianne Schmaal
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Elena Shumskaya
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, 77054, USA
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital - Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
- CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Dan J Stein
- Department of Psychiatry, University of Cape Town and MRC Unit on Anxiety & Stress Disorders, Cape Town, South Africa
| | - Lachlan T Strike
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Roberto Toro
- Laboratory of Human Genetics and Cognitive Functions, Institut Pasteur, 75015, Paris, France
| | - Jessica A Turner
- The Mind Research Network, Albuquerque, NM, USA
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Department of Neuroscience, Georgia State University, Atlanta, GA, USA
| | | | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Observatory, Cape Town, South Africa
| | - Maria Valdés Hernández
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Odile A van den Heuvel
- Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Dennis van der Meer
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Neeltje E M van Haren
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Nora C Vetter
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Daniella Vuletic
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Susanne Walitza
- University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Esther Walton
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 Wan Ping Nan Road, Shanghai, 200030, China
| | - Joanna Wardlaw
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
| | - Lars T Westlye
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Robert Whelan
- Department of Psychology, University College Dublin, Dublin, Ireland
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock, Greifswald, Germany
| | - Thomas Wolfers
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
| | - Margaret J Wright
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Queensland Brain Institute and Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Jian Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea
| | - JingJing Zhao
- Cognitive Genetics and Therapy Group, School of Psychology & Discipline of Biochemistry, National University of Ireland Galway, Galway, SW4 794, Ireland
- School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, 06511, USA
- Olin Neuropsychiatric Research Center, Hartford, CT, 06114, USA
| | - Bernard Mazoyer
- UMR5296 CNRS, CEA and University of Bordeaux, Bordeaux, France
| | - Simon E Fisher
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
| | - Clyde Francks
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands.
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Gialluisi A, Guadalupe T, Francks C, Fisher SE. Neuroimaging genetic analyses of novel candidate genes associated with reading and language. BRAIN AND LANGUAGE 2017; 172:9-15. [PMID: 27476042 DOI: 10.1016/j.bandl.2016.07.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 07/07/2016] [Indexed: 05/23/2023]
Abstract
Neuroimaging measures provide useful endophenotypes for tracing genetic effects on reading and language. A recent Genome-Wide Association Scan Meta-Analysis (GWASMA) of reading and language skills (N=1862) identified strongest associations with the genes CCDC136/FLNC and RBFOX2. Here, we follow up the top findings from this GWASMA, through neuroimaging genetics in an independent sample of 1275 healthy adults. To minimize multiple-testing, we used a multivariate approach, focusing on cortical regions consistently implicated in prior literature on developmental dyslexia and language impairment. Specifically, we investigated grey matter surface area and thickness of five regions selected a priori: middle temporal gyrus (MTG); pars opercularis and pars triangularis in the inferior frontal gyrus (IFG-PO and IFG-PT); postcentral parietal gyrus (PPG) and superior temporal gyrus (STG). First, we analysed the top associated polymorphisms from the reading/language GWASMA: rs59197085 (CCDC136/FLNC) and rs5995177 (RBFOX2). There was significant multivariate association of rs5995177 with cortical thickness, driven by effects on left PPG, right MTG, right IFG (both PO and PT), and STG bilaterally. The minor allele, previously associated with reduced reading-language performance, showed negative effects on grey matter thickness. Next, we performed exploratory gene-wide analysis of CCDC136/FLNC and RBFOX2; no other associations surpassed significance thresholds. RBFOX2 encodes an important neuronal regulator of alternative splicing. Thus, the prior reported association of rs5995177 with reading/language performance could potentially be mediated by reduced thickness in associated cortical regions. In future, this hypothesis could be tested using sufficiently large samples containing both neuroimaging data and quantitative reading/language scores from the same individuals.
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Affiliation(s)
- Alessandro Gialluisi
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands; Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands.
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Hoogman M, Bralten J, Hibar DP, Mennes M, Zwiers MP, Schweren LSJ, van Hulzen KJE, Medland SE, Shumskaya E, Jahanshad N, Zeeuw PD, Szekely E, Sudre G, Wolfers T, Onnink AMH, Dammers JT, Mostert JC, Vives-Gilabert Y, Kohls G, Oberwelland E, Seitz J, Schulte-Rüther M, Ambrosino S, Doyle AE, Høvik MF, Dramsdahl M, Tamm L, van Erp TGM, Dale A, Schork A, Conzelmann A, Zierhut K, Baur R, McCarthy H, Yoncheva YN, Cubillo A, Chantiluke K, Mehta MA, Paloyelis Y, Hohmann S, Baumeister S, Bramati I, Mattos P, Tovar-Moll F, Douglas P, Banaschewski T, Brandeis D, Kuntsi J, Asherson P, Rubia K, Kelly C, Martino AD, Milham MP, Castellanos FX, Frodl T, Zentis M, Lesch KP, Reif A, Pauli P, Jernigan TL, Haavik J, Plessen KJ, Lundervold AJ, Hugdahl K, Seidman LJ, Biederman J, Rommelse N, Heslenfeld DJ, Hartman CA, Hoekstra PJ, Oosterlaan J, Polier GV, Konrad K, Vilarroya O, Ramos-Quiroga JA, Soliva JC, Durston S, Buitelaar JK, Faraone SV, Shaw P, Thompson PM, Franke B. Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis. Lancet Psychiatry 2017; 4:310-319. [PMID: 28219628 PMCID: PMC5933934 DOI: 10.1016/s2215-0366(17)30049-4] [Citation(s) in RCA: 460] [Impact Index Per Article: 65.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 01/04/2017] [Accepted: 01/09/2017] [Indexed: 01/03/2023]
Abstract
BACKGROUND Neuroimaging studies have shown structural alterations in several brain regions in children and adults with attention deficit hyperactivity disorder (ADHD). Through the formation of the international ENIGMA ADHD Working Group, we aimed to address weaknesses of previous imaging studies and meta-analyses, namely inadequate sample size and methodological heterogeneity. We aimed to investigate whether there are structural differences in children and adults with ADHD compared with those without this diagnosis. METHODS In this cross-sectional mega-analysis, we used the data from the international ENIGMA Working Group collaboration, which in the present analysis was frozen at Feb 8, 2015. Individual sites analysed structural T1-weighted MRI brain scans with harmonised protocols of individuals with ADHD compared with those who do not have this diagnosis. Our primary outcome was to assess case-control differences in subcortical structures and intracranial volume through pooling of all individual data from all cohorts in this collaboration. For this analysis, p values were significant at the false discovery rate corrected threshold of p=0·0156. FINDINGS Our sample comprised 1713 participants with ADHD and 1529 controls from 23 sites with a median age of 14 years (range 4-63 years). The volumes of the accumbens (Cohen's d=-0·15), amygdala (d=-0·19), caudate (d=-0·11), hippocampus (d=-0·11), putamen (d=-0·14), and intracranial volume (d=-0·10) were smaller in individuals with ADHD compared with controls in the mega-analysis. There was no difference in volume size in the pallidum (p=0·95) and thalamus (p=0·39) between people with ADHD and controls. Exploratory lifespan modelling suggested a delay of maturation and a delay of degeneration, as effect sizes were highest in most subgroups of children (<15 years) versus adults (>21 years): in the accumbens (Cohen's d=-0·19 vs -0·10), amygdala (d=-0·18 vs -0·14), caudate (d=-0·13 vs -0·07), hippocampus (d=-0·12 vs -0·06), putamen (d=-0·18 vs -0·08), and intracranial volume (d=-0·14 vs 0·01). There was no difference between children and adults for the pallidum (p=0·79) or thalamus (p=0·89). Case-control differences in adults were non-significant (all p>0·03). Psychostimulant medication use (all p>0·15) or symptom scores (all p>0·02) did not influence results, nor did the presence of comorbid psychiatric disorders (all p>0·5). INTERPRETATION With the largest dataset to date, we add new knowledge about bilateral amygdala, accumbens, and hippocampus reductions in ADHD. We extend the brain maturation delay theory for ADHD to include subcortical structures and refute medication effects on brain volume suggested by earlier meta-analyses. Lifespan analyses suggest that, in the absence of well powered longitudinal studies, the ENIGMA cross-sectional sample across six decades of ages provides a means to generate hypotheses about lifespan trajectories in brain phenotypes. FUNDING National Institutes of Health.
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Affiliation(s)
- Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA
| | - Maarten Mennes
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Marcel P Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Lizanne S J Schweren
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Kimm J E van Hulzen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA
| | - Patrick de Zeeuw
- NICHE-lab, Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Eszter Szekely
- Neurobehavioral Clinical Research Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Gustavo Sudre
- Neurobehavioral Clinical Research Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Thomas Wolfers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Alberdingk M H Onnink
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Janneke T Dammers
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Jeanette C Mostert
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Yolanda Vives-Gilabert
- Asociación para la Innovación en Análisis, Gestión y Procesamiento de Datos Científicos y Tecnológicos, Barcelona, Spain
| | - Gregor Kohls
- Child Neuropsychology Section, University Hospital Aachen, Aachen, Germany
| | - Eileen Oberwelland
- Child Neuropsychology Section, University Hospital Aachen, Aachen, Germany; JARA Translational Brain Medicine, Research Center Juelich, Aachen, Germany
| | - Jochen Seitz
- Department of Child and Adolescent Psychiatry, University Hospital Aachen, Aachen, Germany
| | - Martin Schulte-Rüther
- Child Neuropsychology Section, University Hospital Aachen, Aachen, Germany; JARA Translational Brain Medicine, Research Center Juelich, Aachen, Germany
| | - Sara Ambrosino
- NICHE-lab, Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Alysa E Doyle
- Department of Psychiatry and Center for Human Genetics Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research at the Broad Institute, Cambridge, MA, USA
| | - Marie F Høvik
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | - Leanne Tamm
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Anders Dale
- Departments of Neurosciences and Radiology, University of California, San Diego, San Diego, CA, USA; UCSD Center for Translational Imaging and Precision Medicine, San Diego, CA, USA
| | - Andrew Schork
- Department of Cognitive Science, UC San Diego, La Jolla, CA, USA
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany; Department of Psychology, University of Würzburg, Würzburg, Germany
| | - Kathrin Zierhut
- Department of Medical Psychology and Psychotherapy, Medical Sociology and Rehabilitation Sciences, University of Würzburg, Würzburg, Germany; Department of Psychology, University of Würzburg, Würzburg, Germany
| | - Ramona Baur
- Department of Psychology, University of Würzburg, Würzburg, Germany
| | - Hazel McCarthy
- Department of Psychiatry, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - Yuliya N Yoncheva
- The Child Study Center at NYU Langone Medical Center, New York, NY, USA
| | - Ana Cubillo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kaylita Chantiluke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mitul A Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Yannis Paloyelis
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ivanei Bramati
- D'Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Paulo Mattos
- D'Or Institute for Research and Education, Rio de Janeiro, Brazil; Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fernanda Tovar-Moll
- D'Or Institute for Research and Education, Rio de Janeiro, Brazil; Morphological Sciences Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pamela Douglas
- Department of Psychiatry, University of California, Los Angeles, CA, USA
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Child and Adolescent Psychiatry, Psychiatric Hospital, University of Zurich, Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland; Neuroscience Centre Zurich, University of Zurich, Zurich, Switzerland; ETH Zurich, Zurich, Switzerland
| | - Jonna Kuntsi
- Social Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Philip Asherson
- Social Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Clare Kelly
- Department of Psychiatry, University of Dublin, Trinity College Dublin, Dublin, Ireland; The Child Study Center at NYU Langone Medical Center, New York, NY, USA; Trinity College Institute of Neuroscience, Dublin, Ireland
| | | | - Michael P Milham
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA; Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Francisco X Castellanos
- The Child Study Center at NYU Langone Medical Center, New York, NY, USA; Division of Child and Adolescent Psychiatric Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Thomas Frodl
- Department of Psychiatry, University of Dublin, Trinity College Dublin, Dublin, Ireland; Department of Psychiatry and Psychotherapy, University Hospital, Otto-von-Guericke-University, Magdeburg, Germany
| | - Mariam Zentis
- Department of Psychiatry and Psychotherapy, University Hospital, Otto-von-Guericke-University, Magdeburg, Germany
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany; Department of Translational Neuroscience, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Paul Pauli
- Department of Psychology, University of Würzburg, Würzburg, Germany
| | - Terry L Jernigan
- Departments of Cognitive Science, Psychiatry, Radiology, and Center for Human Development, University of California, San Diego, CA, USA
| | - Jan Haavik
- KG Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway; Department of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | | | - Astri J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Kenneth Hugdahl
- Department of Psychiatry, Haukeland University Hospital, Bergen, Norway; Department of Radiology, Haukeland University Hospital, Bergen, Norway; Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Joseph Biederman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
| | - Nanda Rommelse
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, Netherlands; Karakter Child and Adolescent Psychiatry, Nijmegen, Netherlands
| | - Dirk J Heslenfeld
- Department of Cognitive Psychology, VU University Amsterdam, Amsterdam, Netherlands; Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Pieter J Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Jaap Oosterlaan
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Georg von Polier
- Child Neuropsychology Section, University Hospital Aachen, Aachen, Germany
| | - Kerstin Konrad
- Child Neuropsychology Section, University Hospital Aachen, Aachen, Germany
| | - Oscar Vilarroya
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Fundació IMIM, Barcelona, Spain
| | - Josep Antoni Ramos-Quiroga
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Department of Psychiatry, Hospital Universitari Vall d'Hebron, CIBERSAM, Barcelona, Spain
| | - Joan Carles Soliva
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sarah Durston
- NICHE-lab, Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands; Karakter Child and Adolescent Psychiatry, Nijmegen, Netherlands
| | - Stephen V Faraone
- KG Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway; Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Philip Shaw
- Neurobehavioral Clinical Research Section, National Human Genome Research Institute, Bethesda, MD, USA; National Institute of Mental Health, Bethesda, MD, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
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Marwha D, Halari M, Eliot L. Meta-analysis reveals a lack of sexual dimorphism in human amygdala volume. Neuroimage 2016; 147:282-294. [PMID: 27956206 DOI: 10.1016/j.neuroimage.2016.12.021] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 11/27/2016] [Accepted: 12/08/2016] [Indexed: 12/31/2022] Open
Abstract
The amygdala plays a key role in many affective behaviors and psychiatric disorders that differ between men and women. To test whether human amygdala volume (AV) differs reliably between the sexes, we performed a systematic review and meta-analysis of AVs reported in MRI studies of age-matched healthy male and female groups. Using four search strategies, we identified 46 total studies (58 matched samples) from which we extracted effect sizes for the sex difference in AV. All data were converted to Hedges g values and pooled effect sizes were calculated using a random-effects model. Each dataset was further meta-regressed against study year and average participant age. We found that uncorrected amygdala volume is about 10% larger in males, with pooled sex difference effect sizes of g=0.581 for right amygdala (κ=28, n=2022), 0.666 for left amygdala (κ=28, n=2006), and 0.876 for bilateral amygdala (κ=16, n=1585) volumes (all p values < 0.001). However, this difference is comparable to the sex differences in intracranial volume (ICV; g=1.186, p<.001, 11.9% larger in males, κ=11) and total brain volume (TBV; g=1.278, p<0.001, 11.5% larger in males, κ=15) reported in subsets of the same studies, suggesting the sex difference in AV is a product of larger brain size in males. Among studies reporting AVs normalized for ICV or TBV, sex difference effect sizes were small and not statistically significant: g=0.171 for the right amygdala (p=0.206, κ=13, n=1560); 0.233 for the left amygdala (p=0.092, κ=12, n=1512); and 0.257 for bilateral volume (p=0.131, κ=5, n=1629). These values correspond to less than 0.1% larger corrected right AV and 2.5% larger corrected left AV in males compared to females. In summary, AV is not selectively enhanced in human males, as often claimed. Although we cannot rule out subtle male-female group differences, it is not accurate to refer to the human amygdala as "sexually dimorphic."
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Affiliation(s)
- Dhruv Marwha
- Department of Neuroscience, Chicago Medical School, Rosalind Franklin University of Medicine & Science, United States
| | - Meha Halari
- Department of Neuroscience, Chicago Medical School, Rosalind Franklin University of Medicine & Science, United States
| | - Lise Eliot
- Department of Neuroscience, Chicago Medical School, Rosalind Franklin University of Medicine & Science, United States.
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Okada N, Fukunaga M, Yamashita F, Koshiyama D, Yamamori H, Ohi K, Yasuda Y, Fujimoto M, Watanabe Y, Yahata N, Nemoto K, Hibar DP, van Erp TGM, Fujino H, Isobe M, Isomura S, Natsubori T, Narita H, Hashimoto N, Miyata J, Koike S, Takahashi T, Yamasue H, Matsuo K, Onitsuka T, Iidaka T, Kawasaki Y, Yoshimura R, Watanabe Y, Suzuki M, Turner JA, Takeda M, Thompson PM, Ozaki N, Kasai K, Hashimoto R. Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol Psychiatry 2016; 21:1460-6. [PMID: 26782053 PMCID: PMC5030462 DOI: 10.1038/mp.2015.209] [Citation(s) in RCA: 250] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 11/06/2015] [Accepted: 11/13/2015] [Indexed: 12/31/2022]
Abstract
Subcortical structures, which include the basal ganglia and parts of the limbic system, have key roles in learning, motor control and emotion, but also contribute to higher-order executive functions. Prior studies have reported volumetric alterations in subcortical regions in schizophrenia. Reported results have sometimes been heterogeneous, and few large-scale investigations have been conducted. Moreover, few large-scale studies have assessed asymmetries of subcortical volumes in schizophrenia. Here, as a work completely independent of a study performed by the ENIGMA consortium, we conducted a large-scale multisite study of subcortical volumetric differences between patients with schizophrenia and controls. We also explored the laterality of subcortical regions to identify characteristic similarities and differences between them. T1-weighted images from 1680 healthy individuals and 884 patients with schizophrenia, obtained with 15 imaging protocols at 11 sites, were processed with FreeSurfer. Group differences were calculated for each protocol and meta-analyzed. Compared with controls, patients with schizophrenia demonstrated smaller bilateral hippocampus, amygdala, thalamus and accumbens volumes as well as intracranial volume, but larger bilateral caudate, putamen, pallidum and lateral ventricle volumes. We replicated the rank order of effect sizes for subcortical volumetric changes in schizophrenia reported by the ENIGMA consortium. Further, we revealed leftward asymmetry for thalamus, lateral ventricle, caudate and putamen volumes, and rightward asymmetry for amygdala and hippocampal volumes in both controls and patients with schizophrenia. Also, we demonstrated a schizophrenia-specific leftward asymmetry for pallidum volume. These findings suggest the possibility of aberrant laterality in neural pathways and connectivity patterns related to the pallidum in schizophrenia.
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Affiliation(s)
- N Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - M Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - F Yamashita
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - D Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - H Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - K Ohi
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Y Yasuda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - M Fujimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Y Watanabe
- Department of Radiology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - N Yahata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan
| | - K Nemoto
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - D P Hibar
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - H Fujino
- Graduate School of Human Sciences, Osaka University, Osaka, Japan
| | - M Isobe
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - S Isomura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Natsubori
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - H Narita
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - N Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - J Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - S Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Office for Mental Health Support, Division for Counseling and Support, The University of Tokyo, Tokyo, Japan
| | - T Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - H Yamasue
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - K Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - T Onitsuka
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Iidaka
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Y Kawasaki
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - R Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Fukuoka, Japan
| | - Y Watanabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - M Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - J A Turner
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Department of Neuroscience, Georgia State University, Atlanta, GA, USA
| | - M Takeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - P M Thompson
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
| | - N Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - K Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - R Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - COCORO
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Radiology, Osaka University Graduate School of Medicine, Osaka, Japan
- Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
- Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Graduate School of Human Sciences, Osaka University, Osaka, Japan
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
- Office for Mental Health Support, Division for Counseling and Support, The University of Tokyo, Tokyo, Japan
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Aichi, Japan
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
- Department of Psychiatry, University of Occupational and Environmental Health, Fukuoka, Japan
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Department of Neuroscience, Georgia State University, Atlanta, GA, USA
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
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Woo YJ, Wang T, Guadalupe T, Nebel RA, Vino A, Del Bene VA, Molholm S, Ross LA, Zwiers MP, Fisher SE, Foxe JJ, Abrahams BS. A Common CYFIP1 Variant at the 15q11.2 Disease Locus Is Associated with Structural Variation at the Language-Related Left Supramarginal Gyrus. PLoS One 2016; 11:e0158036. [PMID: 27351196 PMCID: PMC4924813 DOI: 10.1371/journal.pone.0158036] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 06/09/2016] [Indexed: 01/03/2023] Open
Abstract
Copy number variants (CNVs) at the Breakpoint 1 to Breakpoint 2 region at 15q11.2 (BP1-2) are associated with language-related difficulties and increased risk for developmental disorders in which language is compromised. Towards underlying mechanisms, we investigated relationships between single nucleotide polymorphisms (SNPs) across the region and quantitative measures of human brain structure obtained by magnetic resonance imaging of healthy subjects. We report an association between rs4778298, a common variant at CYFIP1, and inter-individual variation in surface area across the left supramarginal gyrus (lh.SMG), a cortical structure implicated in speech and language in independent discovery (n = 100) and validation cohorts (n = 2621). In silico analyses determined that this same variant, and others nearby, is also associated with differences in levels of CYFIP1 mRNA in human brain. One of these nearby polymorphisms is predicted to disrupt a consensus binding site for FOXP2, a transcription factor implicated in speech and language. Consistent with a model where FOXP2 regulates CYFIP1 levels and in turn influences lh.SMG surface area, analysis of publically available expression data identified a relationship between expression of FOXP2 and CYFIP1 mRNA in human brain. We propose that altered CYFIP1 dosage, through aberrant patterning of the lh.SMG, may contribute to language-related difficulties associated with BP1-2 CNVs. More generally, this approach may be useful in clarifying the contribution of individual genes at CNV risk loci.
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Affiliation(s)
- Young Jae Woo
- Department of Genetics, Albert Einstein College of Medicine, Bronx, United States of America
| | - Tao Wang
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, United States of America
| | - Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Rebecca A. Nebel
- Department of Genetics, Albert Einstein College of Medicine, Bronx, United States of America
| | - Arianna Vino
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Victor A. Del Bene
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center (CERC), Albert Einstein College of Medicine, Bronx, United States of America
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, United States of America
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, United States of America
| | - Sophie Molholm
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center (CERC), Albert Einstein College of Medicine, Bronx, United States of America
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, United States of America
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, United States of America
| | - Lars A. Ross
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center (CERC), Albert Einstein College of Medicine, Bronx, United States of America
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, United States of America
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, United States of America
| | - Marcel P. Zwiers
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - John J. Foxe
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center (CERC), Albert Einstein College of Medicine, Bronx, United States of America
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, United States of America
- The Cognitive Neurophysiology Laboratory, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, United States of America
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, United States of America
| | - Brett S. Abrahams
- Department of Genetics, Albert Einstein College of Medicine, Bronx, United States of America
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, United States of America
- * E-mail:
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24
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Onnink AMH, Franke B, van Hulzen K, Zwiers MP, Mostert JC, Schene AH, Heslenfeld DJ, Oosterlaan J, Hoekstra PJ, Hartman CA, Vasquez AA, Kan CC, Buitelaar J, Hoogman M. Enlarged striatal volume in adults with ADHD carrying the 9-6 haplotype of the dopamine transporter gene DAT1. J Neural Transm (Vienna) 2016; 123:905-15. [PMID: 26935821 PMCID: PMC4969340 DOI: 10.1007/s00702-016-1521-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 02/04/2016] [Indexed: 12/20/2022]
Abstract
The dopamine transporter gene, DAT1 (SLC6A3), has been studied extensively as a candidate gene for attention-deficit/hyperactivity disorder (ADHD). Different alleles of variable number of tandem repeats (VNTRs) in this gene have been associated with childhood ADHD (10/10 genotype and haplotype 10-6) and adult ADHD (haplotype 9-6). This suggests a differential association depending on age, and a role of DAT1 in modulating the ADHD phenotype over the lifespan. The DAT1 gene may mediate susceptibility to ADHD through effects on striatal volumes, where it is most highly expressed. In an attempt to clarify its mode of action, we examined the effect of three DAT1 alleles (10/10 genotype, and the haplotypes 10-6 and 9-6) on bilateral striatal volumes (nucleus accumbens, caudate nucleus, and putamen) derived from structural magnetic resonance imaging scans using automated tissue segmentation. Analyses were performed separately in three cohorts with cross-sectional MRI data, a childhood/adolescent sample (NeuroIMAGE, 301 patients with ADHD and 186 healthy participants) and two adult samples (IMpACT, 118 patients with ADHD and 111 healthy participants; BIG, 1718 healthy participants). Regression analyses revealed that in the IMpACT cohort, and not in the other cohorts, carriers of the DAT1 adult ADHD risk haplotype 9-6 had 5.9 % larger striatum volume relative to participants not carrying this haplotype. This effect varied by diagnostic status, with the risk haplotype affecting striatal volumes only in patients with ADHD. An explorative analysis in the cohorts combined (N = 2434) showed a significant gene-by-diagnosis-by-age interaction suggesting that carriership of the 9-6 haplotype predisposes to a slower age-related decay of striatal volume specific to the patient group. This study emphasizes the need of a lifespan approach in genetic studies of ADHD.
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Affiliation(s)
- A Marten H Onnink
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands. .,Department of Human Genetics (855), Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
| | - Barbara Franke
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Human Genetics (855), Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Kimm van Hulzen
- Department of Human Genetics (855), Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Marcel P Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Jeanette C Mostert
- Department of Human Genetics (855), Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Aart H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Dirk J Heslenfeld
- Clinical Neuropsychology Section, Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section, Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Pieter J Hoekstra
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Alejandro Arias Vasquez
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Human Genetics (855), Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Cornelis C Kan
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatric University Centre, Nijmegen, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics (855), Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
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25
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Becker M, Guadalupe T, Franke B, Hibar DP, Renteria ME, Stein JL, Thompson PM, Francks C, Vernes SC, Fisher SE. Early developmental gene enhancers affect subcortical volumes in the adult human brain. Hum Brain Mapp 2016; 37:1788-800. [PMID: 26890892 DOI: 10.1002/hbm.23136] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2015] [Revised: 12/30/2015] [Accepted: 01/26/2016] [Indexed: 11/08/2022] Open
Abstract
Genome-wide association screens aim to identify common genetic variants contributing to the phenotypic variability of complex traits, such as human height or brain morphology. The identified genetic variants are mostly within noncoding genomic regions and the biology of the genotype-phenotype association typically remains unclear. In this article, we propose a complementary targeted strategy to reveal the genetic underpinnings of variability in subcortical brain volumes, by specifically selecting genomic loci that are experimentally validated forebrain enhancers, active in early embryonic development. We hypothesized that genetic variation within these enhancers may affect the development and ultimately the structure of subcortical brain regions in adults. We tested whether variants in forebrain enhancer regions showed an overall enrichment of association with volumetric variation in subcortical structures of >13,000 healthy adults. We observed significant enrichment of genomic loci that affect the volume of the hippocampus within forebrain enhancers (empirical P = 0.0015), a finding which robustly passed the adjusted threshold for testing of multiple brain phenotypes (cutoff of P < 0.0083 at an alpha of 0.05). In analyses of individual single nucleotide polymorphisms (SNPs), we identified an association upstream of the ID2 gene with rs7588305 and variation in hippocampal volume. This SNP-based association survived multiple-testing correction for the number of SNPs analyzed but not for the number of subcortical structures. Targeting known regulatory regions offers a way to understand the underlying biology that connects genotypes to phenotypes, particularly in the context of neuroimaging genetics. This biology-driven approach generates testable hypotheses regarding the functional biology of identified associations. Hum Brain Mapp 37:1788-1800, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Martin Becker
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Tulio Guadalupe
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Derrek P Hibar
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, California
| | - Miguel E Renteria
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jason L Stein
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, California.,Department of Neurology, Neurogenetics Program, UCLA School of Medicine, Los Angeles, California
| | - Paul M Thompson
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, California
| | - Clyde Francks
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Sonja C Vernes
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Simon E Fisher
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
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26
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Mao CP, Bai ZL, Zhang XN, Zhang QJ, Zhang L. Abnormal Subcortical Brain Morphology in Patients with Knee Osteoarthritis: A Cross-sectional Study. Front Aging Neurosci 2016; 8:3. [PMID: 26834629 PMCID: PMC4717185 DOI: 10.3389/fnagi.2016.00003] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 01/04/2016] [Indexed: 02/05/2023] Open
Abstract
Despite the involvement of subcortical brain structures in the pathogenesis of chronic pain and persistent pain as the defining symptom of knee osteoarthritis (KOA), little attention has been paid to the morphometric measurements of these subcortical nuclei in patients with KOA. The purpose of this study is to explore the potential morphological abnormalities of subcortical brain structures in patients with KOA as compared to the healthy control subjects by using high-resolution MRI. Structural MR data were acquired from 26 patients with KOA and 31 demographically similar healthy individuals. The MR data were analyzed by using FMRIB’s integrated registration and segmentation tool. Both volumetric analysis and surface-based shape analysis were performed to characterize the subcortical morphology. The normalized volumes of bilateral caudate nucleus were significantly smaller in the KOA group than in the control group (P = 0.004). There was also a trend toward smaller volume of the hippocampus in KOA as compared to the control group (P = 0.027). Detailed surface analyses further localized these differences with a greater involvement of the left hemisphere (P < 0.05, corrected) for the caudate nucleus. Hemispheric asymmetry (right larger than left) of the caudate nucleus was found in both KOA and control groups. Besides, no significant correlation was found between the structural data and pain intensities. Our results indicated that patients with KOA had statistically significant smaller normalized volumes of bilateral caudate nucleus and a trend toward smaller volume of the hippocampus as compared to the control subjects. Further investigations are necessary to characterize the role of caudate nucleus in the course of chronicity of pain associated with KOA.
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Affiliation(s)
- Cui Ping Mao
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Zhi Lan Bai
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Xiao Na Zhang
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Qiu Juan Zhang
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Lei Zhang
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
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27
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Tan A, Ma W, Vira A, Marwha D, Eliot L. The human hippocampus is not sexually-dimorphic: Meta-analysis of structural MRI volumes. Neuroimage 2016; 124:350-366. [DOI: 10.1016/j.neuroimage.2015.08.050] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 08/20/2015] [Accepted: 08/22/2015] [Indexed: 12/31/2022] Open
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28
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Henje Blom E, Han LKM, Connolly CG, Ho TC, Lin J, LeWinn KZ, Simmons AN, Sacchet MD, Mobayed N, Luna ME, Paulus M, Epel ES, Blackburn EH, Wolkowitz OM, Yang TT. Peripheral telomere length and hippocampal volume in adolescents with major depressive disorder. Transl Psychiatry 2015; 5:e676. [PMID: 26556285 PMCID: PMC5068765 DOI: 10.1038/tp.2015.172] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 08/26/2015] [Accepted: 09/19/2015] [Indexed: 11/09/2022] Open
Abstract
Several studies have reported that adults with major depressive disorder have shorter telomere length and reduced hippocampal volumes. Moreover, studies of adult populations without major depressive disorder suggest a relationship between peripheral telomere length and hippocampal volume. However, the relationship of these findings in adolescents with major depressive disorder has yet to be explored. We examined whether adolescent major depressive disorder is associated with altered peripheral telomere length and hippocampal volume, and whether these measures relate to one another. In 54 unmedicated adolescents (13-18 years) with major depressive disorder and 63 well-matched healthy controls, telomere length was assessed from saliva using quantitative polymerase chain reaction methods, and bilateral hippocampal volumes were measured with magnetic resonance imaging. After adjusting for age and sex (and total brain volume in the hippocampal analysis), adolescents with major depressive disorder exhibited significantly shorter telomere length and significantly smaller right, but not left hippocampal volume. When corrected for age, sex, diagnostic group and total brain volume, telomere length was not significantly associated with left or right hippocampal volume, suggesting that these cellular and neural processes may be mechanistically distinct during adolescence. Our findings suggest that shortening of telomere length and reduction of hippocampal volume are already present in early-onset major depressive disorder and thus unlikely to be only a result of accumulated years of exposure to major depressive disorder.
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Affiliation(s)
- E Henje Blom
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Department of Psychiatry, Division of Child and Adolescent Psychiatry, University of California San Francisco, 401 Parnassus Avenue, San Francisco, CA 94143, USA. E-mail:
| | - L K M Han
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA,Institute of Interdisciplinary Studies, Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - C G Connolly
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - T C Ho
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - J Lin
- Department of Biochemistry and Biophysics, University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | - K Z LeWinn
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - A N Simmons
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA,The Veterans Affairs Health Care System of San Diego, San Diego, CA, USA
| | - M D Sacchet
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA,Neuroscience Programs and Department of Psychology, Stanford University, Stanford, CA, USA
| | - N Mobayed
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M E Luna
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - E S Epel
- Department of Psychiatry, University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | - E H Blackburn
- Department of Biochemistry and Biophysics, University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | - O M Wolkowitz
- Department of Psychiatry, University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | - T T Yang
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
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29
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Chen J, Calhoun VD, Arias‐Vasquez A, Zwiers MP, van Hulzen K, Fernández G, Fisher SE, Franke B, Turner JA, Liu J. G-protein genomic association with normal variation in gray matter density. Hum Brain Mapp 2015; 36:4272-86. [PMID: 26248772 PMCID: PMC5667539 DOI: 10.1002/hbm.22916] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Revised: 07/08/2015] [Accepted: 07/14/2015] [Indexed: 12/25/2022] Open
Abstract
While detecting genetic variations underlying brain structures helps reveal mechanisms of neural disorders, high data dimensionality poses a major challenge for imaging genomic association studies. In this work, we present the application of a recently proposed approach, parallel independent component analysis with reference (pICA-R), to investigate genomic factors potentially regulating gray matter variation in a healthy population. This approach simultaneously assesses many variables for an aggregate effect and helps to elicit particular features in the data. We applied pICA-R to analyze gray matter density (GMD) images (274,131 voxels) in conjunction with single nucleotide polymorphism (SNP) data (666,019 markers) collected from 1,256 healthy individuals of the Brain Imaging Genetics (BIG) study. Guided by a genetic reference derived from the gene GNA14, pICA-R identified a significant SNP-GMD association (r=-0.16, P=2.34×10(-8)), implying that subjects with specific genotypes have lower localized GMD. The identified components were then projected to an independent dataset from the Mind Clinical Imaging Consortium (MCIC) including 89 healthy individuals, and the obtained loadings again yielded a significant SNP-GMD association (r=-0.25, P=0.02). The imaging component reflected GMD variations in frontal, precuneus, and cingulate regions. The SNP component was enriched in genes with neuronal functions, including synaptic plasticity, axon guidance, molecular signal transduction via PKA and CREB, highlighting the GRM1, PRKCH, GNA12, and CAMK2B genes. Collectively, our findings suggest that GNA12 and GNA14 play a key role in the genetic architecture underlying normal GMD variation in frontal and parietal regions.
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Affiliation(s)
- Jiayu Chen
- The Mind Research NetworkAlbuquerqueNew Mexico
| | - Vince D. Calhoun
- The Mind Research NetworkAlbuquerqueNew Mexico
- Department of Electrical and Computer EngineeringUniversity of New MexicoAlbuquerqueNew Mexico
| | - Alejandro Arias‐Vasquez
- Department of Human GeneticsRadboud University Medical Centre, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
- Department of Cognitive NeuroscienceRadboud University Medical Centre, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
- Department of PsychiatryRadboud University Nijmegen Medical Centre, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Marcel P. Zwiers
- Centre for Cognitive NeuroimagingRadboud University Nijmegen, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Kimm van Hulzen
- Department of Human GeneticsRadboud University Medical Centre, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Guillén Fernández
- Department of Cognitive NeuroscienceRadboud University Medical Centre, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Simon E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Centre for Neuroscience, Radboud University Nijmegen, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Barbara Franke
- Department of Human GeneticsRadboud University Medical Centre, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
- Department of PsychiatryRadboud University Nijmegen Medical Centre, Donders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Jessica A. Turner
- The Mind Research NetworkAlbuquerqueNew Mexico
- Psychology DepartmentGeorgia State UniversityAtlantaGeorgia
- Neuroscience InstituteGeorgia State UniversityAtlantaGeorgia
| | - Jingyu Liu
- The Mind Research NetworkAlbuquerqueNew Mexico
- Department of Electrical and Computer EngineeringUniversity of New MexicoAlbuquerqueNew Mexico
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30
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Transcriptomic and genetic studies identify NFAT5 as a candidate gene for cocaine dependence. Transl Psychiatry 2015; 5:e667. [PMID: 26506053 PMCID: PMC4930134 DOI: 10.1038/tp.2015.158] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2015] [Accepted: 08/19/2015] [Indexed: 11/29/2022] Open
Abstract
Cocaine reward and reinforcing effects are mediated mainly by dopaminergic neurotransmission. In this study, we aimed at evaluating gene expression changes induced by acute cocaine exposure on SH-SY5Y-differentiated cells, which have been widely used as a dopaminergic neuronal model. Expression changes and a concomitant increase in neuronal activity were observed after a 5 μM cocaine exposure, whereas no changes in gene expression or in neuronal activity took place at 1 μM cocaine. Changes in gene expression were identified in a total of 756 genes, mainly related to regulation of transcription and gene expression, cell cycle, adhesion and cell projection, as well as mitogen-activeated protein kinase (MAPK), CREB, neurotrophin and neuregulin signaling pathways. Some genes displaying altered expression were subsequently targeted with predicted functional single-nucleotide polymorphisms (SNPs) in a case-control association study in a sample of 806 cocaine-dependent patients and 817 controls. This study highlighted associations between cocaine dependence and five SNPs predicted to alter microRNA binding at the 3'-untranslated region of the NFAT5 gene. The association of SNP rs1437134 with cocaine dependence survived the Bonferroni correction for multiple testing. A functional effect was confirmed for this variant by a luciferase reporter assay, with lower expression observed for the rs1437134G allele, which was more pronounced in the presence of hsa-miR-509. However, brain volumes in regions of relevance to addiction, as assessed with magnetic resonance imaging, did not correlate with NFAT5 variation. These results suggest that the NFAT5 gene, which is upregulated a few hours after cocaine exposure, may be involved in the genetic predisposition to cocaine dependence.
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31
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Klein M, van der Voet M, Harich B, van Hulzen KJ, Onnink AM, Hoogman M, Guadalupe T, Zwiers M, Groothuismink JM, Verberkt A, Nijhof B, Castells-Nobau A, Faraone SV, Buitelaar JK, Schenck A, Arias-Vasquez A, Franke B. Converging evidence does not support GIT1 as an ADHD risk gene. Am J Med Genet B Neuropsychiatr Genet 2015; 168:492-507. [PMID: 26061966 PMCID: PMC7164571 DOI: 10.1002/ajmg.b.32327] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Accepted: 05/20/2015] [Indexed: 01/03/2023]
Abstract
Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neuropsychiatric disorder with a complex genetic background. The G protein-coupled receptor kinase interacting ArfGAP 1 (GIT1) gene was previously associated with ADHD. We aimed at replicating the association of GIT1 with ADHD and investigated its role in cognitive and brain phenotypes. Gene-wide and single variant association analyses for GIT1 were performed for three cohorts: (1) the ADHD meta-analysis data set of the Psychiatric Genomics Consortium (PGC, N = 19,210), (2) the Dutch cohort of the International Multicentre persistent ADHD CollaboraTion (IMpACT-NL, N = 225), and (3) the Brain Imaging Genetics cohort (BIG, N = 1,300). Furthermore, functionality of the rs550818 variant as an expression quantitative trait locus (eQTL) for GIT1 was assessed in human blood samples. By using Drosophila melanogaster as a biological model system, we manipulated Git expression according to the outcome of the expression result and studied the effect of Git knockdown on neuronal morphology and locomotor activity. Association of rs550818 with ADHD was not confirmed, nor did a combination of variants in GIT1 show association with ADHD or any related measures in either of the investigated cohorts. However, the rs550818 risk-genotype did reduce GIT1 expression level. Git knockdown in Drosophila caused abnormal synapse and dendrite morphology, but did not affect locomotor activity. In summary, we could not confirm GIT1 as an ADHD candidate gene, while rs550818 was found to be an eQTL for GIT1. Despite GIT1's regulation of neuronal morphology, alterations in gene expression do not appear to have ADHD-related behavioral consequences. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- M Klein
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - M van der Voet
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - B Harich
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - KJ van Hulzen
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - AM Onnink
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands,Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, The Netherlands
| | - M Hoogman
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - T Guadalupe
- Department of Language and Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands,International Max Planck Research School for Language Sciences, Nijmegen, The Netherlands
| | - M Zwiers
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - JM Groothuismink
- Department of Human Genetics, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - A Verberkt
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - B Nijhof
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - A Castells-Nobau
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - SV Faraone
- Department of Psychiatry, State University of New York (SUNY) Upstate Medical University, Syracuse, New York,Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York
| | - JK Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - A Schenck
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - A Arias-Vasquez
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands,Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, The Netherlands,Department of Cognitive Neuroscience, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - B Franke
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands,Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, The Netherlands
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32
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Rusbridge C, Long S, Jovanovik J, Milne M, Berendt M, Bhatti SFM, De Risio L, Farqhuar RG, Fischer A, Matiasek K, Muñana K, Patterson EE, Pakozdy A, Penderis J, Platt S, Podell M, Potschka H, Stein VM, Tipold A, Volk HA. International Veterinary Epilepsy Task Force recommendations for a veterinary epilepsy-specific MRI protocol. BMC Vet Res 2015; 11:194. [PMID: 26319136 PMCID: PMC4594743 DOI: 10.1186/s12917-015-0466-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 06/29/2015] [Indexed: 12/17/2022] Open
Abstract
Epilepsy is one of the most common chronic neurological diseases in veterinary practice. Magnetic resonance imaging (MRI) is regarded as an important diagnostic test to reach the diagnosis of idiopathic epilepsy. However, given that the diagnosis requires the exclusion of other differentials for seizures, the parameters for MRI examination should allow the detection of subtle lesions which may not be obvious with existing techniques. In addition, there are several differentials for idiopathic epilepsy in humans, for example some focal cortical dysplasias, which may only apparent with special sequences, imaging planes and/or particular techniques used in performing the MRI scan. As a result, there is a need to standardize MRI examination in veterinary patients with techniques that reliably diagnose subtle lesions, identify post-seizure changes, and which will allow for future identification of underlying causes of seizures not yet apparent in the veterinary literature. There is a need for a standardized veterinary epilepsy-specific MRI protocol which will facilitate more detailed examination of areas susceptible to generating and perpetuating seizures, is cost efficient, simple to perform and can be adapted for both low and high field scanners. Standardisation of imaging will improve clinical communication and uniformity of case definition between research studies. A 6–7 sequence epilepsy-specific MRI protocol for veterinary patients is proposed and further advanced MR and functional imaging is reviewed.
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Affiliation(s)
- Clare Rusbridge
- Fitzpatrick Referrals, Halfway Lane, Eashing, Godalming, GU7 2QQ, Surrey, UK. .,School of Veterinary Medicine, Faculty of Health & Medical Sciences, University of Surrey, Guildford, GU2 7TE, Surrey, UK.
| | - Sam Long
- University of Melbourne, 250 Princes Highway, Weibee, 3015, VIC, Australia.
| | - Jelena Jovanovik
- Fitzpatrick Referrals, Halfway Lane, Eashing, Godalming, GU7 2QQ, Surrey, UK.
| | - Marjorie Milne
- University of Melbourne, 250 Princes Highway, Weibee, 3015, VIC, Australia.
| | - Mette Berendt
- Department of Veterinary and Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg C, Denmark.
| | - Sofie F M Bhatti
- Department of Small Animal Medicine and Clinical Biology, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke, 9820, Belgium.
| | - Luisa De Risio
- Animal Health Trust, Lanwades Park, Kentford, Newmarket, CB8 7UU, Suffolk, UK.
| | - Robyn G Farqhuar
- Fernside Veterinary Centre, 205 Shenley Road, Borehamwood, SG9 0TH, Hertfordshire, UK.
| | - Andrea Fischer
- Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University, Veterinärstr. 13, 80539, Munich, Germany.
| | - Kaspar Matiasek
- Section of Clinical & Comparative Neuropathology, Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University, Veterinärstr. 13, 80539, Munich, Germany.
| | - Karen Muñana
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, 1052 William Moore Drive, Raleigh, NC, 27607, USA.
| | - Edward E Patterson
- University of Minnesota College of Veterinary Medicine, D426 Veterinary Medical Center, 1352 Boyd Avenue, St. Paul, MN, 55108, USA.
| | - Akos Pakozdy
- Clinical Unit of Internal Medicine Small Animals, University of Veterinary Medicine, Veterinärplatz 1, 1210, Vienna, Austria.
| | - Jacques Penderis
- Vet Extra Neurology, Broadleys Veterinary Hospital, Craig Leith Road, Stirling, FK7 7LE, Stirlingshire, UK.
| | - Simon Platt
- College of Veterinary Medicine, University of Georgia, 501 DW Brooks Drive, Athens, GA, 30602, USA.
| | - Michael Podell
- Chicago Veterinary Neurology and Neurosurgery, 3123 N. Clybourn Avenue, Chicago, IL, 60618, USA.
| | - Heidrun Potschka
- Department of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximillians-University, Königinstr. 16, 80539, Munich, Germany.
| | - Veronika M Stein
- Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Bünteweg 9, 30559, Hannover, Germany.
| | - Andrea Tipold
- Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Bünteweg 9, 30559, Hannover, Germany.
| | - Holger A Volk
- Department of Clinical Science and Services, Royal Veterinary College, Hatfield, AL9 7TA, Hertfordshire, UK.
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33
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Francks C. Exploring human brain lateralization with molecular genetics and genomics. Ann N Y Acad Sci 2015; 1359:1-13. [DOI: 10.1111/nyas.12770] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Clyde Francks
- Language and Genetics Department; Max Planck Institute for Psycholinguistics; Nijmegen the Netherlands
- Donders Institute for Brain, Cognition and Behavior; Radboud University Nijmegen; Nijmegen the Netherlands
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Brucato N, Guadalupe T, Franke B, Fisher SE, Francks C. A schizophrenia-associated HLA locus affects thalamus volume and asymmetry. Brain Behav Immun 2015; 46:311-8. [PMID: 25728236 DOI: 10.1016/j.bbi.2015.02.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 01/20/2015] [Accepted: 02/07/2015] [Indexed: 02/02/2023] Open
Abstract
Genes of the Major Histocompatibility Complex (MHC) have recently been shown to have neuronal functions in the thalamus and hippocampus. Common genetic variants in the Human Leukocyte Antigens (HLA) region, human homologue of the MHC locus, are associated with small effects on susceptibility to schizophrenia, while volumetric changes of the thalamus and hippocampus have also been linked to schizophrenia. We therefore investigated whether common variants of the HLA would affect volumetric variation of the thalamus and hippocampus. We analysed thalamus and hippocampus volumes, as measured using structural magnetic resonance imaging, in 1.265 healthy participants. These participants had also been genotyped using genome-wide single nucleotide polymorphism (SNP) arrays. We imputed genotypes for single nucleotide polymorphisms at high density across the HLA locus, as well as HLA allotypes and HLA amino acids, by use of a reference population dataset that was specifically targeted to the HLA region. We detected a significant association of the SNP rs17194174 with thalamus volume (nominal P=0.0000017, corrected P=0.0039), as well as additional SNPs within the same region of linkage disequilibrium. This effect was largely lateralized to the left thalamus and is localized within a genomic region previously associated with schizophrenia. The associated SNPs are also clustered within a potential regulatory element, and a region of linkage disequilibrium that spans genes expressed in the thalamus, including HLA-A. Our data indicate that genetic variation within the HLA region influences the volume and asymmetry of the human thalamus. The molecular mechanisms underlying this association may relate to HLA influences on susceptibility to schizophrenia.
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Affiliation(s)
- Nicolas Brucato
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Leiden University Centre for Linguistics, Leiden, The Netherlands.
| | - Tulio Guadalupe
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; International Max Planck Research School for Language Sciences, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands; Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Simon E Fisher
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, The Netherlands
| | - Clyde Francks
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, The Netherlands
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35
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Cousijn H, Eissing M, Fernández G, Fisher SE, Franke B, Zwiers M, Harrison PJ, Arias-Vásquez A. No effect of schizophrenia risk genes MIR137, TCF4, and ZNF804A on macroscopic brain structure. Schizophr Res 2014; 159:329-32. [PMID: 25217366 PMCID: PMC4245712 DOI: 10.1016/j.schres.2014.08.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Revised: 07/28/2014] [Accepted: 08/06/2014] [Indexed: 01/20/2023]
Abstract
Single nucleotide polymorphisms (SNPs) within the MIR137, TCF4, and ZNF804A genes show genome-wide association to schizophrenia. However, the biological basis for the associations is unknown. Here, we tested the effects of these genes on brain structure in 1300 healthy adults. Using volumetry and voxel-based morphometry, neither gene-wide effects--including the combined effect of the genes--nor single SNP effects--including specific psychosis risk SNPs--were found on total brain volume, grey matter, white matter, or hippocampal volume. These results suggest that the associations between these risk genes and schizophrenia are unlikely to be mediated via effects on macroscopic brain structure.
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Affiliation(s)
- Helena Cousijn
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Marc Eissing
- Department of Psychiatry, University of Oxford, Oxford, UK; Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry, Human Genetics & Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Guillén Fernández
- Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry, Human Genetics & Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Simon E Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands; Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry, Human Genetics & Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Marcel Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | | | - Alejandro Arias-Vásquez
- Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry, Human Genetics & Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands.
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36
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Wyciszkiewicz A, Pawlak MA. Basal Ganglia Volumes: MR-Derived Reference Ranges and Lateralization Indices for Children and Young Adults. Neuroradiol J 2014; 27:595-612. [PMID: 25260207 DOI: 10.15274/nrj-2014-10073] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2014] [Accepted: 06/29/2014] [Indexed: 11/12/2022] Open
Abstract
SUMMARY - Previous studies indicate rightward asymmetry of the caudate nucleus (CN) volume and leftward asymmetry of the putamen (PN) and globus pallidus (GP). This study aimed to estimate reference ranges for basal ganglia asymmetry in a large cohort of healthy individuals (n= 949), aged seven to 21 years. MRI images of 949 (320 female, mean age 12.6 +/- 3.3, range 7-21) healthy individuals were reviewed. Volumetric measurements of the basal ganglia were obtained using automated segmentation (FreeSurfer). We computed two lateralization indices: (L-R)/(L+R) (LI) and right/left ratio (RLR). Tolerance interval estimates were used to calculate reference ranges. Rightward asymmetry of the CN and leftward asymmetry of the PN and GP were confirmed. PN and GP volume decreased with age, but CN volume did not. The lateralization index decreased with age for PN, but not for CN and GP. RLR increased with age for PN and not for CN or GP. Females were associated with smaller volume, but not with either LI or RLR difference. Reference ranges obtained in this study provide useful resources for power analysis and a reference group for future studies using basal ganglia asymmetry indices.
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Affiliation(s)
- Aleksandra Wyciszkiewicz
- Department of Neurochemistry and Neuropathology, Poznan University of Medical Sciences; Poznan, Poland -
| | - Mikolaj A Pawlak
- Department of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences; Poznan, Poland
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37
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Cai DC, Fonteijn H, Guadalupe T, Zwiers M, Wittfeld K, Teumer A, Hoogman M, Arias-Vásquez A, Yang Y, Buitelaar J, Fernández G, Brunner HG, van Bokhoven H, Franke B, Hegenscheid K, Homuth G, Fisher SE, Grabe HJ, Francks C, Hagoort P. A genome-wide search for quantitative trait loci affecting the cortical surface area and thickness of Heschl's gyrus. GENES BRAIN AND BEHAVIOR 2014; 13:675-85. [DOI: 10.1111/gbb.12157] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Revised: 07/10/2014] [Accepted: 07/24/2014] [Indexed: 12/21/2022]
Affiliation(s)
- D.-C. Cai
- Institute of Psychology; Chinese Academy of Sciences; Beijing China
- Max Planck Institute for Psycholinguistics
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Graduate University of Chinese Academy of Sciences; Beijing China
| | - H. Fonteijn
- Max Planck Institute for Psycholinguistics
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
| | | | - M. Zwiers
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | - K. Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald; Greifswald Germany
| | | | - M. Hoogman
- Max Planck Institute for Psycholinguistics
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | - A. Arias-Vásquez
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | - Y. Yang
- Institute of Psychology; Chinese Academy of Sciences; Beijing China
| | - J. Buitelaar
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | - G. Fernández
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | - H. G. Brunner
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | - H. van Bokhoven
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | - B. Franke
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
- Departments of Human Genetics, Psychiatry and Cognitive Neuroscience; Radboud University Nijmegen Medical Centre; Nijmegen The Netherlands
| | | | - G. Homuth
- Interfaculty Institute for Genetics and Functional Genomics; University Medicine Greifswald; Greifswald
| | - S. E. Fisher
- Max Planck Institute for Psycholinguistics
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
| | - H. J. Grabe
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald; Greifswald Germany
- Department of Psychiatry and Psychotherapy; University Medicine Greifswald, HELIOS Hospital Stralsund; Stralsund Germany
| | - C. Francks
- Max Planck Institute for Psycholinguistics
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
| | - P. Hagoort
- Max Planck Institute for Psycholinguistics
- Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen The Netherlands
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38
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Hoogman M, Guadalupe T, Zwiers MP, Klarenbeek P, Francks C, Fisher SE. Assessing the effects of common variation in the FOXP2 gene on human brain structure. Front Hum Neurosci 2014; 8:473. [PMID: 25013396 PMCID: PMC4076884 DOI: 10.3389/fnhum.2014.00473] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Accepted: 06/09/2014] [Indexed: 02/05/2023] Open
Abstract
The FOXP2 transcription factor is one of the most well-known genes to have been implicated in developmental speech and language disorders. Rare mutations disrupting the function of this gene have been described in different families and cases. In a large three-generation family carrying a missense mutation, neuroimaging studies revealed significant effects on brain structure and function, most notably in the inferior frontal gyrus, caudate nucleus, and cerebellum. After the identification of rare disruptive FOXP2 variants impacting on brain structure, several reports proposed that common variants at this locus may also have detectable effects on the brain, extending beyond disorder into normal phenotypic variation. These neuroimaging genetics studies used groups of between 14 and 96 participants. The current study assessed effects of common FOXP2 variants on neuroanatomy using voxel-based morphometry (VBM) and volumetric techniques in a sample of >1300 people from the general population. In a first targeted stage we analyzed single nucleotide polymorphisms (SNPs) claimed to have effects in prior smaller studies (rs2253478, rs12533005, rs2396753, rs6980093, rs7784315, rs17137124, rs10230558, rs7782412, rs1456031), beginning with regions proposed in the relevant papers, then assessing impact across the entire brain. In the second gene-wide stage, we tested all common FOXP2 variation, focusing on volumetry of those regions most strongly implicated from analyses of rare disruptive mutations. Despite using a sample that is more than 10 times that used for prior studies of common FOXP2 variation, we found no evidence for effects of SNPs on variability in neuroanatomy in the general population. Thus, the impact of this gene on brain structure may be largely limited to extreme cases of rare disruptive alleles. Alternatively, effects of common variants at this gene exist but are too subtle to be detected with standard volumetric techniques.
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Affiliation(s)
- Martine Hoogman
- Department of Language and Genetics, Max Planck Institute for Psycholinguistics Nijmegen, Netherlands
| | - Tulio Guadalupe
- Department of Language and Genetics, Max Planck Institute for Psycholinguistics Nijmegen, Netherlands
| | - Marcel P Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Nijmegen, Netherlands
| | - Patricia Klarenbeek
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Nijmegen, Netherlands
| | - Clyde Francks
- Department of Language and Genetics, Max Planck Institute for Psycholinguistics Nijmegen, Netherlands ; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Nijmegen, Netherlands
| | - Simon E Fisher
- Department of Language and Genetics, Max Planck Institute for Psycholinguistics Nijmegen, Netherlands ; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Nijmegen, Netherlands
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39
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On the other hand: including left-handers in cognitive neuroscience and neurogenetics. Nat Rev Neurosci 2014; 15:193-201. [DOI: 10.1038/nrn3679] [Citation(s) in RCA: 199] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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