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Harmonization of large multi-site imaging datasets: Application to 10,232 MRIs for the analysis of imaging patterns of structural brain change throughout the lifespan [article]

Raymond Pomponio, Guray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo (+18 others)
2019 bioRxiv   pre-print
We describe a comprehensive effort that merges and harmonizes a large-scale dataset of 10,232 structural brain MRI scans from participants without known neuropsychiatric disorder from 18 different studies  ...  age trends of brain structure through the lifespan (3 to 96 years old).  ...  Acknowledgements This work was supported by the National Institute on Aging (grant number 1RF1AG054409) and the National Institute of Mental Health (grant number 5R01MH112070).  ... 
doi:10.1101/784363 fatcat:hsamvnajqzejvdqjignos7y54u

Brain/MINDS Beyond Human Brain MRI Study: Multi-Site Harmonization for Brain Disorders Throughout the Lifespan [article]

Shinsuke Koike, Saori Tanaka, Tomohisa Okada, Toshihiko Aso, Michiko Asano, Norihide Maikusa, Kentaro Morita, Naohiro Okada, Masaki Fukunaga, Akiko Uematsu, Hiroki Togo, Atsushi Miyazaki (+16 others)
2020 bioRxiv   pre-print
Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan.  ...  The Brain/MINDS Beyond human brain MRI project will help to identify the common and disease-specific pathophysiology features of brain diseases and develop imaging biomarkers for clinical practice.  ...  We are also obtaining a TS 282 dataset for the harmonization of the clinical MRI datasets and the development of technical tools 283 to harmonize the multi-site data.  ... 
doi:10.1101/2020.05.05.076273 fatcat:j42dyvmxnfgc7pqg2ly7i2e7ne

Emerging Global Initiatives in Neurogenetics: The Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) Consortium

Carrie E. Bearden, Paul M. Thompson
2017 Neuron  
shared goal of understanding disease and genetic influences on the brain.  ...  This "crowdsourcing" approach to team neuroscience has unprecedented power for advancing our understanding of both typical and atypical human brain development.  ...  Acknowledgments We thank Agnes McMahon for assistance in figure preparation and all ENIGMA participants worldwide for all their contributions.  ... 
doi:10.1016/j.neuron.2017.03.033 pmid:28426957 pmcid:PMC5918136 fatcat:mu77intw2vgexeir4trkidwkxy

A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?

Laura E.M. Wisse, Ana M. Daugherty, Rosanna K. Olsen, David Berron, Valerie A. Carr, Craig E.L. Stark, Robert S.C. Amaral, Katrin Amunts, Jean C. Augustinack, Andrew R. Bender, Jeffrey D. Bernstein, Marina Boccardi (+32 others)
2016 Hippocampus  
The advent of high-resolution magnetic resonance imaging (MRI) has enabled in vivo research in a variety of populations and diseases on the structure and function of hippocampal subfields and subdivisions  ...  To overcome this barrier, the Hippocampal Subfields Group was formed as an international collaboration with the aim of developing a harmonized protocol for manual segmentation of hippocampal and parahippocampal  ...  ACKNOWLEDGMENTS The authors thank the members of the larger Hippocampal Subfields Group for their input on the harmonization effort and insightful comments over the years.  ... 
doi:10.1002/hipo.22671 pmid:27862600 pmcid:PMC5167633 fatcat:hjlhat7y5zh6bomglqrdb7f3cy

TIMELINE OF BRAIN ALTERATIONS IN ALZHEIMER'S DISEASE ACROSS THE ENTIRE LIFESPAN [article]

Pierrick Coupé, José V Manjón, Enrique Lanuza, Gwenaelle Catheline
2017 bioRxiv   pre-print
To answer this question, we proposed an innovative way by inferring brain structure volume trajectories across the entire lifespan using massive number of MRI (N=4714).  ...  Brain imaging studies have shown that progressive cerebral atrophy characterized the development of Alzheimer's Disease (AD).  ...  -10-IDEX-03-02, HL-MRI Project), Cluster of excellence CPU and TRAIL (HR-DTI ANR-10-LABX-57).  ... 
doi:10.1101/229195 fatcat:r6fjbwkdergixda4ufsbgggvxq

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke

Sook-Lei Liew, Artemis Zavaliangos-Petropulu, Neda Jahanshad, Catherine E Lang, Kathryn S Hayward, Keith R Lohse, Julia M Juliano, Francesca Assogna, Lee A Baugh, Anup K Bhattacharya, Bavrina Bigjahan, Michael R Borich (+55 others)
2020 Human Brain Mapping  
Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data  ...  The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic  ...  The large size of the dataset makes it uniquely powered for machinelearning methods, which require big datasets to train and test computer algorithms to identify patterns.  ... 
doi:10.1002/hbm.25015 pmid:32310331 pmcid:PMC8675421 fatcat:lvelmlkkzrf2nemyl6jqbdqsqq

Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG

Donatas Sederevičius, Didac Vidal-Piñeiro, Øystein Sørensen, Koen van Leemput, Juan Eugenio Iglesias, Adrian V Dalca, Douglas N Greve, Bruce Fischl, Atle Bjørnerud, Kristine B Walhovd, Anders M Fjell, Alzheimers Disease Neuroimaging Initiative
2021 NeuroImage  
For intra-scanner analysis we use a large sample of participants (n = 1629) distributed across the lifespan (age range = 4-93 years) and acquired on a 1.5T Siemens Avanto (n = 774) and a 3T Siemens Skyra  ...  For inter-scanner analysis we use a sample of 24 participants scanned on the day with three models of Siemens scanners: 1.5T Avanto, 3T Skyra and 3T Prisma.  ...  Automated techniques enable processing of large numbers of magnetic resonance imaging (MRI) scans with limited operator investments, enabling detailed segmentations of brains from large-scale brain imaging  ... 
doi:10.1016/j.neuroimage.2021.118113 pmid:33940143 pmcid:PMC9052126 fatcat:kby3pkj7a5artccxnw6u5olwbi

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

Sophia Frangou, Amirhossein Modabbernia, Steven C R Williams, Efstathios Papachristou, Gaelle E Doucet, Ingrid Agartz, Moji Aghajani, Theophilus N Akudjedu, Anton Albajes-Eizagirre, Dag Alnaes, Kathryn I Alpert, Micael Andersson (+190 others)
2021 Human Brain Mapping  
Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies.  ...  Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood.  ...  Within ENIGMA, the focus of the Lifespan Working group is to delineate age-associations in brain morphometric measures extracted from MRI images using standardized protocols and unified quality control  ... 
doi:10.1002/hbm.25364 pmid:33595143 pmcid:PMC8675431 fatcat:wwn4v7cc3jgftnw3abq34tuf4y

Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

Danai Dima, Amirhossein Modabbernia, Efstathios Papachristou, Gaelle E Doucet, Ingrid Agartz, Moji Aghajani, Theophilus N Akudjedu, Anton Albajes-Eizagirre, Dag Alnaes, Kathryn I Alpert, Micael Andersson, Nancy C Andreasen (+190 others)
2021 Human Brain Mapping  
The lateral ventricles showed continuous enlargement throughout the lifespan.  ...  These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry.  ...  to perform large-scale analyses of brain morphometric data extracted from MRI images using standardized protocols and unified quality control procedures, harmonized and validated across all participating  ... 
doi:10.1002/hbm.25320 pmid:33570244 pmcid:PMC8675429 fatcat:zbdl52td7vg2tlhiwfojeshouu

Peak width of skeletonized mean diffusivity (PSMD) as marker of widespread white matter tissue damage in multiple sclerosis

C. Vinciguerra, A. Giorgio, J. Zhang, I. Di Donato, M.L. Stromillo, R. Tappa Brocci, A. Federico, M.T. Dotti, N. De Stefano
2019 Multiple Sclerosis and Related Disorders  
In addition, none of these studies addressed the issue 73 of changes in PSMD across lifespan, which is critical for establishing whether PSMD could 74 be used as an imaging marker of brain aging as well  ...  However, their relative evolution 41 over the entire adult lifespan in healthy individuals remains partly unknown during early and 42 late adulthood, and particularly for the PSMD index.  ...  (see Table1 legend for the meaning of dataset abbreviated names) Age range MRi-Share BIL&GIN SYS LIFE 1000 BRAINS UKBiobank ASPSF OATS LBC 1936 MAS Table 3d . 3d Basic statistics of peak  ... 
doi:10.1016/j.msard.2018.11.011 fatcat:7dnedeu5xnezvc2byiipp3jiem

Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools

Shinsuke Koike, Akiko Uematsu, Daiki Sasabayashi, Norihide Maikusa, Tsutomu Takahashi, Kazutaka Ohi, Shinichiro Nakajima, Yoshihiro Noda, Yoji Hirano
2021 Magnetic Resonance in Medical Sciences  
Recent advances in MRI modalities, such as multi-shell diffusion-weighted imaging, magnetic resonance spectroscopy, and multimodal brain imaging analysis, may be candidates to sharpen the characterization  ...  The sites use restricted MRI machines and harmonized multi-modal protocols, standardized image preprocessing, and traveling subject harmonization.  ...  Acknowledgment This study was supported by the Japan Society for the Promotion of Science (JSPS)/MEXT KAKENHI (18K07604, 19H03579, 20KK0193, and 21H02851), the Japan Agency for Medical Research and Development  ... 
doi:10.2463/mrms.rev.2021-0050 fatcat:x2cxiwkrsjazneezm2dyatoqm4

Publishers Note: Healthy minds 0–100 years: Optimising the use of European brain imaging cohorts ("Lifebrain")

K.B. Walhovd, A.M. Fjell, R. Westerhausen, L. Nyberg, K.P. Ebmeier, U. Lindenberger, D. Bartre s-Faz, W.F.C. Baare, H.R. Siebner, R. Henson, C.A. Drevon, G.P. Knudsen (+7 others)
2018 European psychiatry  
Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive and mental health measures for the broader cohorts, exceeding 27,000 examinations in total.  ...  A B S T R A C T The main objective of "Lifebrain" is to identify the determinants of brain, cognitive and mental (BCM) health at different stages of life.  ...  Acknowledgement This research is funded by the EU Horizon 2020 Grant: 'Healthy minds 0-100 years: Optimising the use of European brain imaging cohorts ("Lifebrain")'. Grant agreement number: 732592.  ... 
doi:10.1016/j.eurpsy.2017.10.005 pmid:29127911 fatcat:n6uezz6k4nbyvleblrk6zkt2l4

Harmonization with Flow-based Causal Inference [article]

Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
2021 arXiv   pre-print
Our formulation exploits the bijection induced by flow for the purpose of harmonization.  ...  This approach is evaluated extensively on multiple, large, real-world medical datasets and displayed better cross-domain generalization compared to state-of-the-art algorithms.  ...  Castro for suggestions. This work was supported by the National Institute on Aging (grant numbers RF1AG054409 and U01AG068057) and the National Institute of Mental Health (grant number R01MH112070).  ... 
arXiv:2106.06845v2 fatcat:hildildhc5go3fojq3rjtcjfuy

Toward a global and reproducible science for brain imaging in neurotrauma: the ENIGMA adult moderate/severe traumatic brain injury working group

Alexander Olsen, Talin Babikian, Erin D. Bigler, Karen Caeyenberghs, Virginia Conde, Kristen Dams-O'Connor, Ekaterina Dobryakova, Helen Genova, Jordan Grafman, Asta K. Håberg, Ingrid Heggland, Torgeir Hellstrøm (+25 others)
2020 Brain Imaging and Behavior  
Based on the principles of transparency, rigor, reproducibility and collaboration, we will facilitate the development and dissemination of multiscale and big data analysis pipelines for harmonized analyses  ...  The global burden of mortality and morbidity caused by traumatic brain injury (TBI) is significant, and the heterogeneity of TBI patients and the relatively small sample sizes of most current neuroimaging  ...  methods for large-scale data analysis.  ... 
doi:10.1007/s11682-020-00313-7 pmid:32797398 pmcid:PMC8032647 fatcat:st6o2f2imrg5bnv5eaxj4rptyq

Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer − ASEG and SAMSEG [article]

Donatas Sederevičius, Didac Vidal Piñeiro, Øystein Sørensen, Koen van Leemput, Juan Eugenio Iglesias, Adrian Vasile Dalca, Douglas Greve, Bruce Fischl, Atle Bjørnerud, Kristine Beate Walhovd, Anders Martin Fjell
2020 bioRxiv   pre-print
The absolute symmetrized percent differences across the lifespan indicated relatively constant reliability trajectories across age except for the younger children in the Avanto dataset for ASEG.  ...  First, we use a large sample of participants (n = 1629) distributed across the lifespan (age range = 4-93 years) to assess the within-session test-retest reliability in eight bilateral subcortical structures  ...  Automated techniques enable processing of large numbers of magnetic resonance imaging (MRI) scans with limited operator investments, enabling detailed segmentations of brains from large-scale brain imaging  ... 
doi:10.1101/2020.10.13.335737 fatcat:zafkivfcjndl5ojt54ky6gzdei
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