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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
A functional connectome phenotyping dataset including cognitive state and personality measures
Natacha Mendes1, Sabine Oligschläger1,2,3, Mark E Lauckner1
1Max Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
This study links brain function to cognitive abilities and personality using magnetic resonance imaging (MRI) and detailed assessments. The dataset explores mind-wandering, traits, and cognition within the brain's intrinsic functional architecture.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Understanding the brain's intrinsic functional architecture is key to exploring higher-order cognitive faculties.
- Self-generated mental experiences and personality features are complex phenomena linked to brain function.
Purpose of the Study:
- To enable exploration of the relationship between the brain's intrinsic functional architecture and cognitive faculties.
- To investigate self-generated mental experiences (mind-wandering) and personality features.
- To provide a multimodal dataset for studying mind-brain-body relationships.
Main Methods:
- Acquired multimodal magnetic resonance imaging (MRI) data from 194 healthy participants (aged 20-75).
- Collected data through 31 questionnaires, 7 cognitive tasks, and 4 in-scanner mind-wandering probes.
- Utilized resting-state functional MRI (multiband EPI) and high-resolution structural MRI (3D MP2RAGE).
Main Results:
- The dataset facilitates the examination of connections between brain functional architecture and various phenotypic assessments.
- It allows for the study of mind-wandering, personality traits, and cognitive abilities in relation to brain structure and function.
- Data includes detailed resting-state and structural MRI scans alongside extensive behavioral and self-report measures.
Conclusions:
- This dataset provides a valuable resource for investigating the neural underpinnings of cognition, personality, and subjective experience.
- It supports research into the intrinsic functional architecture of the brain and its relation to mental phenomena.
- The findings contribute to the MPI-Leipzig Mind-Brain-Body database, fostering interdisciplinary research.
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