Literature DB >> 33741990

The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses.

Lukas Snoek1,2, Maite M van der Miesen3,4, Tinka Beemsterboer3,5, Andries van der Leij3,6,7, Annemarie Eigenhuis3, H Steven Scholte3,5,7.   

Abstract

We present the Amsterdam Open MRI Collection (AOMIC): three datasets with multimodal (3 T) MRI data including structural (T1-weighted), diffusion-weighted, and (resting-state and task-based) functional BOLD MRI data, as well as detailed demographics and psychometric variables from a large set of healthy participants (N = 928, N = 226, and N = 216). Notably, task-based fMRI was collected during various robust paradigms (targeting naturalistic vision, emotion perception, working memory, face perception, cognitive conflict and control, and response inhibition) for which extensively annotated event-files are available. For each dataset and data modality, we provide the data in both raw and preprocessed form (both compliant with the Brain Imaging Data Structure), which were subjected to extensive (automated and manual) quality control. All data is publicly available from the OpenNeuro data sharing platform.

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Year:  2021        PMID: 33741990      PMCID: PMC7979787          DOI: 10.1038/s41597-021-00870-6

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  75 in total

1.  Development and validation of the Dutch brief form of the Multidimensional Personality Questionnaire (MPQ-BF-NL).

Authors:  Annemarie Eigenhuis; Jan H Kamphuis; Arjen Noordhof
Journal:  Assessment       Date:  2012-05-19

2.  Correcting brain-wide correlation differences in resting-state FMRI.

Authors:  Ziad S Saad; Richard C Reynolds; Hang Joon Jo; Stephen J Gotts; Gang Chen; Alex Martin; Robert W Cox
Journal:  Brain Connect       Date:  2013-07-31

Review 3.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

4.  Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature.

Authors:  Christophe Destrieux; Bruce Fischl; Anders Dale; Eric Halgren
Journal:  Neuroimage       Date:  2010-06-12       Impact factor: 6.556

5.  Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python.

Authors:  Krzysztof Gorgolewski; Christopher D Burns; Cindee Madison; Dav Clark; Yaroslav O Halchenko; Michael L Waskom; Satrajit S Ghosh
Journal:  Front Neuroinform       Date:  2011-08-22       Impact factor: 4.081

6.  Accurate and robust brain image alignment using boundary-based registration.

Authors:  Douglas N Greve; Bruce Fischl
Journal:  Neuroimage       Date:  2009-06-30       Impact factor: 6.556

7.  Analysis of task-based functional MRI data preprocessed with fMRIPrep.

Authors:  Oscar Esteban; Rastko Ciric; Karolina Finc; Ross W Blair; Christopher J Markiewicz; Craig A Moodie; James D Kent; Mathias Goncalves; Elizabeth DuPre; Daniel E P Gomez; Zhifang Ye; Taylor Salo; Romain Valabregue; Inge K Amlien; Franziskus Liem; Nir Jacoby; Hrvoje Stojić; Matthew Cieslak; Sebastian Urchs; Yaroslav O Halchenko; Satrajit S Ghosh; Alejandro De La Vega; Tal Yarkoni; Jessey Wright; William H Thompson; Russell A Poldrack; Krzysztof J Gorgolewski
Journal:  Nat Protoc       Date:  2020-06-08       Impact factor: 13.491

8.  MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites.

Authors:  Oscar Esteban; Daniel Birman; Marie Schaer; Oluwasanmi O Koyejo; Russell A Poldrack; Krzysztof J Gorgolewski
Journal:  PLoS One       Date:  2017-09-25       Impact factor: 3.240

9.  A functional connectome phenotyping dataset including cognitive state and personality measures.

Authors:  Natacha Mendes; Sabine Oligschläger; Mark E Lauckner; Johannes Golchert; Julia M Huntenburg; Marcel Falkiewicz; Melissa Ellamil; Sarah Krause; Blazej M Baczkowski; Roberto Cozatl; Anastasia Osoianu; Deniz Kumral; Jared Pool; Laura Golz; Maria Dreyer; Philipp Haueis; Rebecca Jost; Yelyzaveta Kramarenko; Haakon Engen; Katharina Ohrnberger; Krzysztof J Gorgolewski; Nicolas Farrugia; Anahit Babayan; Andrea Reiter; H Lina Schaare; Janis Reinelt; Josefin Röbbig; Marie Uhlig; Miray Erbey; Michael Gaebler; Jonathan Smallwood; Arno Villringer; Daniel S Margulies
Journal:  Sci Data       Date:  2019-02-12       Impact factor: 6.444

10.  Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images.

Authors:  Jeffrey Mark Treiber; Nathan S White; Tyler Christian Steed; Hauke Bartsch; Dominic Holland; Nikdokht Farid; Carrie R McDonald; Bob S Carter; Anders Martin Dale; Clark C Chen
Journal:  PLoS One       Date:  2016-03-30       Impact factor: 3.240

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  9 in total

1.  A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain.

Authors:  Noah Frazier-Logue; Justin Wang; Zheng Wang; Devin Sodums; Anisha Khosla; Alexandria D Samson; Anthony R McIntosh; Kelly Shen
Journal:  Front Neuroinform       Date:  2022-06-14       Impact factor: 3.739

2.  The Digital Brain Bank, an open access platform for post-mortem imaging datasets.

Authors:  Saad Jbabdi; Rogier B Mars; Karla L Miller; Benjamin C Tendler; Taylor Hanayik; Olaf Ansorge; Sarah Bangerter-Christensen; Gregory S Berns; Mads F Bertelsen; Katherine L Bryant; Sean Foxley; Martijn P van den Heuvel; Amy F D Howard; Istvan N Huszar; Alexandre A Khrapitchev; Anna Leonte; Paul R Manger; Ricarda A L Menke; Jeroen Mollink; Duncan Mortimer; Menuka Pallebage-Gamarallage; Lea Roumazeilles; Jerome Sallet; Lianne H Scholtens; Connor Scott; Adele Smart; Martin R Turner; Chaoyue Wang
Journal:  Elife       Date:  2022-03-17       Impact factor: 8.713

3.  Multitask brain network reconfiguration is inversely associated with human intelligence.

Authors:  Jonas A Thiele; Joshua Faskowitz; Olaf Sporns; Kirsten Hilger
Journal:  Cereb Cortex       Date:  2022-09-19       Impact factor: 4.861

4.  Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks.

Authors:  Yi Hao Chan; Conghao Wang; Wei Kwek Soh; Jagath C Rajapakse
Journal:  Front Neurosci       Date:  2022-05-23       Impact factor: 5.152

5.  Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.

Authors:  Christopher R Madan
Journal:  Neuroinformatics       Date:  2021-05-11

6.  Is it left or is it right? A classification approach for investigating hemispheric differences in low and high dimensionality.

Authors:  Patrick Friedrich; Kaustubh R Patil; Lisa N Mochalski; Xuan Li; Julia A Camilleri; Jean-Philippe Kröll; Lisa Wiersch; Simon B Eickhoff; Susanne Weis
Journal:  Brain Struct Funct       Date:  2021-12-09       Impact factor: 3.270

7.  The Dual Mechanisms of Cognitive Control dataset, a theoretically-guided within-subject task fMRI battery.

Authors:  Joset A Etzel; Rachel E Brough; Michael C Freund; Alexander Kizhner; Yanli Lin; Matthew F Singh; Rongxiang Tang; Allison Tay; Anxu Wang; Todd S Braver
Journal:  Sci Data       Date:  2022-03-29       Impact factor: 6.444

8.  Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study.

Authors:  Fernanda H P de Moraes; Victor B B Mello; Fernanda Tovar-Moll; Bruno Mota
Journal:  Front Neurosci       Date:  2022-07-18       Impact factor: 5.152

9.  Fronto-parietal homotopy in resting-state functional connectivity predicts task-switching performance.

Authors:  Antonino Vallesi; Antonino Visalli; Zeus Gracia-Tabuenca; Vincenza Tarantino; Mariagrazia Capizzi; Sarael Alcauter; Dante Mantini; Lorenzo Pini
Journal:  Brain Struct Funct       Date:  2021-06-09       Impact factor: 3.270

  9 in total

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