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Toward Coordinate-based Cognition Dictionaries: A BrainMap and Neurosynth Demo
Qiu-Yu Lu1, Jonathan M Towne2, Matthew Lock1
1Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, Zhejiang, China; Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 311121, Zhejiang, China.
Neuroimaging databases like BrainMap and Neurosynth act as "dictionaries" for brain activity. Researchers can use these tools to better interpret functional magnetic resonance imaging (fMRI) study results and guide future experiments.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Brain Mapping
Background:
- Characterizing brain region function is a core challenge in cognitive neuroscience.
- Functional magnetic resonance imaging (fMRI) maps neural networks, but complex structure-function relationships complicate task design for higher-order cognition.
- Brain-behavior associations and group comparisons are common but often yield general interpretations of regional brain function.
Purpose of the Study:
- To demonstrate the utility of neuroimaging databases (BrainMap, Neurosynth) for interpreting functional magnetic resonance imaging (fMRI) results.
- To highlight the potential of these databases as a
- coordinate-based cognition dictionary
- for understanding brain-behavior relationships.
- To encourage wider adoption of these databases in neuroimaging research.
Main Methods:
- Utilized two case studies: a brain-intelligence correlation and a depression-control meta-study.
- Leveraged the BrainMap and Neurosynth online databases, which aggregate coordinates from task-based fMRI (tb-fMRI) studies.
- Explored the databases for activation data linked to cognitive domains, functions, paradigms, and publications.
Main Results:
- Neuroimaging databases provide extensive tb-fMRI activation data, including cognitive domains, functions, and paradigms.
- These databases function as a valuable resource for detailed interpretation of brain activity.
- Surprisingly, less than 1% of brain-behavior association or group comparison studies currently utilize this database approach.
Conclusions:
- Neuroimaging databases offer a powerful tool for specific and comprehensive interpretation of fMRI findings.
- These databases can guide the design of future task-based fMRI experiments.
- Increased utilization of these resources by the research community is encouraged for advancing cognitive neuroscience.
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