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. 2019 Feb 12:6:180307.
doi: 10.1038/sdata.2018.307.

A functional connectome phenotyping dataset including cognitive state and personality measures

Affiliations

A functional connectome phenotyping dataset including cognitive state and personality measures

Natacha Mendes et al. Sci Data. .

Abstract

The dataset enables exploration of higher-order cognitive faculties, self-generated mental experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a hig h-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1. Age distribution.
Age distribution (5-year bins) of the participants split by gender.
Figure 2
Figure 2. Quality assessment of resting-state fMRI scans.
Distribution of motion (maximum and mean framewise displacement).
Figure 3
Figure 3. Example impact of fieldmap correction.
Figure 4
Figure 4. Temporal signal-to-noise (tSNR).
Group-level variance in temporal signal-to-noise (tSNR) across the brain. tSNR values are lower in ventral regions including orbitofrontal and temporal cortex.

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