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We analyse large datasets of neuroimaging and behavioral data in population cohorts to relate variations across participants in behavioral performance (such as motor, memory, attention,...but also emotion, personality traits, etc...) to variations in their brain functional connectivity as measured with functional Magnetic Resonance Imaging (fMRI) signal at rest (i.e. resting-state functional connectivity).
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Our project aim to investigate the influencing factors on the accuracy, reliability and biological interpretability of the prediction. Those factors include:
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Our project aims to investigate the influencing factors on the accuracy, reliability and biological interpretability of the prediction. Those factors include:
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- pre-processing procedures to clean the MRI data,
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