Academic Journal

rt-me-fMRI:a task and resting state dataset for real-time, multi-echo fMRI methods development and validation

التفاصيل البيبلوغرافية
العنوان: rt-me-fMRI:a task and resting state dataset for real-time, multi-echo fMRI methods development and validation
المؤلفون: Heunis, Stephan, Breeuwer, Marcel, Caballero-Gaudes, César, Hellrung, Lydia, Huijbers, Willem, Jansen, Jacobus F.A., Lamerichs, Rolf, Zinger, Svitlana, Aldenkamp, Albert P.
المصدر: Heunis , S , Breeuwer , M , Caballero-Gaudes , C , Hellrung , L , Huijbers , W , Jansen , J F A , Lamerichs , R , Zinger , S & Aldenkamp , A P 2021 , ' rt-me-fMRI : a task and resting state dataset for real-time, multi-echo fMRI methods development and validation ' , F1000Research , vol. 10 , 70 . https://doi.org/10.12688/F1000RESEARCH.29988.1
سنة النشر: 2021
مصطلحات موضوعية: Amygdala, Emotion processing, Finger tapping, Functional magnetic resonance imaging, Methods development, Motor, Multi-echo fMRI, Neurofeedback, Real-time fMRI, Resting state, Task
الوصف: A multi-echo fMRI dataset (N=28 healthy participants) with four taskbased and two resting state runs was collected, curated and made available to the community. Its main purpose is to advance the development of methods for real-time multi-echo functional magnetic resonance imaging (rt-me-fMRI) analysis with applications in neurofeedback, real-time quality control, and adaptive paradigms, although the variety of experimental task paradigms supports a multitude of use cases. Tasks include finger tapping, emotional face and shape matching, imagined finger tapping and imagined emotion processing. This work provides a detailed description of the full dataset; methods to collect, prepare, standardize and preprocess it; quality control measures; and data validation measures. A web-based application is provided as a supplementary tool with which to interactively explore, visualize and understand the data and its derivative measures: https://rt-me-fmri.herokuapp.com/. The dataset itself can be accessed via a data use agreement on DataverseNL at https://dataverse.nl/dataverse/rt-me-fmri. Supporting information and code for reproducibility can be accessed at https://github.com/jsheunis/rt-me-fMRI.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
DOI: 10.12688/F1000RESEARCH.29988.1
الاتاحة: https://research.tue.nl/en/publications/c5612c5c-daec-4559-a39f-9e59bd3167fb
https://doi.org/10.12688/F1000RESEARCH.29988.1
https://pure.tue.nl/ws/files/191385178/43ff2e4a_ebcb_43af_bc0e_9165436c7c43_29988_stephan_heunis.pdf
http://www.scopus.com/inward/record.url?scp=85117278626&partnerID=8YFLogxK
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.7DB00391
قاعدة البيانات: BASE
الوصف
DOI:10.12688/F1000RESEARCH.29988.1