Abstract
Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow age-span has been lacking for the assessment of test-retest reliability and reproducibility of brain-behavior correlations, as well as the development of novel causal insights into these correlational findings. Here we describe the SLIM dataset, which includes brain and behavioral data across a long-term retest-duration within three and a half years, mMRI scans provided a set of structural, diffusion and resting-state functional MRI images, along with rich samples of behavioral assessments addressed—demographic, cognitive and emotional information. Together with the Consortium for Reliability and Reproducibility (CoRR), the SLIM is expected to accelerate the reproducible sciences of the human brain by providing an open resource for brain-behavior discovery sciences with big-data approaches.
Highlights
Background & SummaryDuring the previous two decades, cognitive neuroscientists, psychiatrists, biomedical engineers and neurologists have witnessed the advent and advancement of noninvasive brain techniques, which enable the visualization and analysis of human brain structure and function in detail[1,2]
Recent studies have demonstrated that inter-individual variability in human behavior and cognition can be predicted from local brain structures[3], which highlights the potential use of structural brain images in cognitive and psychological science
Using data from the Human Connectome Project, researchers determined that patterns of functional connectivity may be used as a ‘connectome fingerprint’ to identify an individual at the participant level[10], that subjects’ functional connectomes can be linked to 280 behavioral and demographic measures in a single holistic multivariate analysis[11] and that intrinsic functional connectivity can predict individual differences in task-evoked brain activation[12]
Summary
Background & SummaryDuring the previous two decades, cognitive neuroscientists, psychiatrists, biomedical engineers and neurologists have witnessed the advent and advancement of noninvasive brain techniques, which enable the visualization and analysis of human brain structure and function in detail[1,2]. Magnetic Resonance Imaging (MRI) has a unique advantage in the investigation of the human brain because the same scanner may perform the data collection of various image modalities, which each provide information on brain structure, function or metabolism.
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