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  An open science resource for establishing reliability and reproducibility in functional connectomics

Zuo, X.-N., Anderson, J. S., Bellec, P., Birn, R. M., Biswal, B. B., Blautzik, J., et al. (2014). An open science resource for establishing reliability and reproducibility in functional connectomics. Scientific Data, 1: 140049. doi:10.1038/sdata.2014.49.

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Zuo, Xi-Nian1, Autor
Anderson, Jeffrey S.1, Autor
Bellec, Pierre1, Autor
Birn, Rasmus M.1, Autor
Biswal, Bharat B.1, Autor
Blautzik, Janusch1, Autor
Breitner, John C.S.1, Autor
Buckner, Randy L.1, Autor
Calhoun, Vince D.1, Autor
Castellanos, F. Xavier1, Autor
Chen, Antao1, Autor
Chen, Bing1, Autor
Chen, Jiangtao1, Autor
Chen, Xu1, Autor
Colcombe, Stanley J.1, Autor
Courtney, William1, Autor
Craddock, R. Cameron1, Autor
Martino, Adriana Di1, Autor
Dong, Hao-Ming1, Autor
Fu, Xiaolan1, Autor
Gong, Qiyong1, AutorGorgolewski, Krzysztof J.2, Autor           Han, Ying1, AutorHe, Ye1, AutorHe, Yong1, AutorHo, Erica1, AutorHolmes, Avram1, AutorHou, Xiao-Hui1, AutorHuckins, Jeremy1, AutorJiang, Tianzi1, AutorJiang, Yi1, AutorKelley, William1, AutorKelly, Clare1, AutorKing, Margaret1, AutorLaConte, Stephen M.1, AutorLainhart, Janet E.1, AutorLei, Xu1, AutorLi, Hui-Jie1, AutorLi, Kaiming1, AutorLi, Kuncheng1, AutorLin, Qixiang1, AutorLiu, Dongqiang1, AutorLiu, Jia1, AutorLiu, Xun1, AutorLiu, Yijun1, AutorLu, Guangming1, AutorLu, Jie1, AutorLuna, Beatriz1, AutorLuo, Jing1, AutorLurie, Daniel1, AutorMao, Ying1, AutorMargulies, Daniel S.2, Autor           Mayer, Andrew R.1, AutorMeindl, Thomas1, AutorMeyerand, Mary E.1, AutorNan, Weizhi1, AutorNielsen, Jared A.1, AutorO’Connor, David1, AutorPaulsen, David1, AutorPrabhakaran, Vivek1, AutorQi, Zhigang1, AutorQiu, Jiang1, AutorShao, Chunhong1, AutorShehzad, Zarrar1, AutorTang, Weijun1, AutorVillringer, Arno3, Autor           Wang, Huiling1, AutorWang, Kai1, AutorWei, Dongtao1, AutorWei, Gao-Xia1, AutorWeng, Xu-Chu1, AutorWu, Xuehai1, AutorXu, Ting1, AutorYang, Ning1, AutorYang, Zhi1, AutorZang, Yu-Feng1, AutorZhang, Lei1, AutorZhang, Qinglin1, AutorZhang, Zhe1, AutorZhang, Zhiqiang1, AutorZhao, Ke1, AutorZhen, Zonglei1, AutorZhou, Yuan1, AutorZhu, Xing-Ting1, AutorMilham, Michael P.1, Autor mehr..
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

Inhalt

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Schlagwörter: Brain imaging; Cognitive neuroscience; Computational neuroscience; Functional magnetic resonance imaging
 Zusammenfassung: Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.

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Sprache(n): eng - English
 Datum: 2014-06-192014-10-142014-12-09
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/sdata.2014.49
PMID: 25977800
PMC: PMC4421932
Anderer: eCollection 2014
 Art des Abschluß: -

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Titel: Scientific Data
  Kurztitel : Sci. Data
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: London, United Kingdom : Nature Publishing Group
Seiten: - Band / Heft: 1 Artikelnummer: 140049 Start- / Endseite: - Identifikator: Anderer: 2052-4463
CoNE: https://pure.mpg.de/cone/journals/resource/2052-4463