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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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tRNS fMRI Experiment

Authors: Contò Federica (10334366); Battelli Lorella (10334369);

tRNS fMRI Experiment

Abstract

Raw fMRI data collected during a trns-fMRI experiment. Each subject undewent two fMRI Session (Session1 and Session2). One anatomical and one resting state functional run were collected for each subject, and each session. Each subject folder (SnjN) contains data of one subject and it is subdived into two subfolder relative to each scanning session. 'SbjN_session1' includes raw data for pre-test session and is subdivided into one folder (SbjN_AnatomicalCNR') containing DICOM files for the anatomical CNR and for functional resting state data ('SbjN_RestingState'). 'Sbj_Session2' includes raw data collected during post-test session and is subdived into one foder ('SbjN_AnatomicalCNR) containing DICOM files for the anamotical CNR and one folder (SbjN_RestingState) containing DICOM files for the functional resting state data.

{"references": ["Cont\u00f2, F., Edwards, G., Tyler, S., Parrott, D., Grossman, E. D., & Battelli, L. (2020). Attention network modulation via tRNS correlates with attention gain. BioRxiv, 2020.09.15.298240. https://doi.org/10.1101/2020.09.15.298240"]}

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Keywords

Pharmacology, folder, Science Policy, SbjN, tRNS fMRI Experiment, Mental Health, data, CNR, DICOM files, Molecular Biology, Transcranial Random noise stimulation, Neuroscience, subject

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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Science and Innovation Policy Studies