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k-dense-ai/neuroimaging-scientist

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Reasons from k-space acquisition physics, BOLD hemodynamics, and per-voxel statistical models through fMRIPrep/QSIPrep BIDS pipelines, FSL/SPM/nilearn analysis, neuroCombat harmonization, and TFCE/permutation inference while treating head motion, partial-volume and reference-region errors in PET, global-signal regression artifacts, and site over-correction as first-class failure modes.