Literature DB >> 25977761

A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie.

Michael Hanke1, Florian J Baumgartner2, Pierre Ibe2, Falko R Kaule3, Stefan Pollmann4, Oliver Speck5, Wolf Zinke2, Jörg Stadler6.   

Abstract

Here we present a high-resolution functional magnetic resonance (fMRI) dataset - 20 participants recorded at high field strength (7 Tesla) during prolonged stimulation with an auditory feature film ("Forrest Gump"). In addition, a comprehensive set of auxiliary data (T1w, T2w, DTI, susceptibility-weighted image, angiography) as well as measurements to assess technical and physiological noise components have been acquired. An initial analysis confirms that these data can be used to study common and idiosyncratic brain response patterns to complex auditory stimulation. Among the potential uses of this dataset are the study of auditory attention and cognition, language and music perception, and social perception. The auxiliary measurements enable a large variety of additional analysis strategies that relate functional response patterns to structural properties of the brain. Alongside the acquired data, we provide source code and detailed information on all employed procedures - from stimulus creation to data analysis. In order to facilitate replicative and derived works, only free and open-source software was utilized.

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Year:  2014        PMID: 25977761      PMCID: PMC4322572          DOI: 10.1038/sdata.2014.3

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


  31 in total

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2.  Distortion correction in EPI at ultra-high-field MRI using PSF mapping with optimal combination of shift detection dimension.

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3.  A common, high-dimensional model of the representational space in human ventral temporal cortex.

Authors:  James V Haxby; J Swaroop Guntupalli; Andrew C Connolly; Yaroslav O Halchenko; Bryan R Conroy; M Ida Gobbini; Michael Hanke; Peter J Ramadge
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4.  Highly accelerated PSF-mapping for EPI distortion correction with improved fidelity.

Authors:  Myung-Ho In; Oliver Speck
Journal:  MAGMA       Date:  2011-08-04       Impact factor: 2.310

5.  Temporal eye movement strategies during naturalistic viewing.

Authors:  Helena X Wang; Jeremy Freeman; Elisha P Merriam; Uri Hasson; David J Heeger
Journal:  J Vis       Date:  2012-01-19       Impact factor: 2.240

6.  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

7.  Free viewing of dynamic stimuli by humans and monkeys.

Authors:  David J Berg; Susan E Boehnke; Robert A Marino; Douglas P Munoz; Laurent Itti
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8.  Interspecies activity correlations reveal functional correspondence between monkey and human brain areas.

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Journal:  Nat Methods       Date:  2012-02-05       Impact factor: 28.547

9.  Function-based intersubject alignment of human cortical anatomy.

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Review 10.  Representational geometry: integrating cognition, computation, and the brain.

Authors:  Nikolaus Kriegeskorte; Rogier A Kievit
Journal:  Trends Cogn Sci       Date:  2013-07-19       Impact factor: 20.229

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  53 in total

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Authors:  Russell A Poldrack; Krzysztof J Gorgolewski
Journal:  Nat Neurosci       Date:  2014-10-28       Impact factor: 24.884

Review 2.  Towards a mechanistic understanding of the human subcortex.

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3.  Functional brain segmentation using inter-subject correlation in fMRI.

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4.  Hypersampling of pseudo-periodic signals by analytic phase projection.

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Review 5.  Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli.

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Review 6.  Brain-heart interactions: challenges and opportunities with functional magnetic resonance imaging at ultra-high field.

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Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-05-13       Impact factor: 4.226

7.  Magnetic resonance advection imaging of cerebrovascular pulse dynamics.

Authors:  Henning U Voss; Jonathan P Dyke; Karsten Tabelow; Nicholas D Schiff; Douglas J Ballon
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8.  Investigating time-varying functional connectivity derived from the Jackknife Correlation method for distinguishing between emotions in fMRI data.

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9.  Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM.

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Journal:  Front Neuroinform       Date:  2016-07-05       Impact factor: 4.081

Review 10.  Building a Science of Individual Differences from fMRI.

Authors:  Julien Dubois; Ralph Adolphs
Journal:  Trends Cogn Sci       Date:  2016-04-30       Impact factor: 20.229

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