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@@ -1,7 +1,9 @@
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Project description: Whole Brain Layer-fMRI Connectome: An Open Dataset
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Overview:
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-Here, we provide a whole-brain layer-dependent connectome dataset with cerebral blood volume and BOLD contrast. It is coming along with a quality assessment comprising metrics of skew, kurtosis, tSNR and sharpness. The purpose of this dataset is to 1.) characterize the prospects and challenges of whole brain layer-fMRI acquisition sequences in a test-retest setting and 2.) to provide a test bed for developing and benchmarking new layer-dependent analysis tools that may be able to address novel neuroscientific research questions.
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+Here, we provide a whole-brain layer-dependent connectome dataset with cerebral blood volume and BOLD contrast. It is coming along with a quality assessment comprising metrics of skew, kurtosis, tSNR and sharpness. The purpose of this dataset is
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+1.) to characterize the prospects and challenges of whole brain layer-fMRI acquisition sequences in a test-retest setting
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+2.) and to provide a test bed for developing and benchmarking new layer-dependent analysis tools that may be able to address novel neuroscientific research questions.
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Note that these data have been acquired with a CBV-sensitive VASO sequence, thus the datatype is rather unconventional compared to standard fMRI datasets. TRs as well as resolution is variable across time and contrasts within one run. Please notice, this is an initial release of an ongoing study. We are happy to share the data via SIEMENS C2P.
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Data Acquisition:
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kenshu