A task-fMRI group-level analysis method is proposed to incorporate spatial covariance structures in fMRI data using the subject-level steerable filter smoothing with various full-wide-half-maximums followed by a group-level one-step optimization. Subject-level smoothed time series are further orthogonalized to guarantee non-overlapped contributions to group-level activations. Using the proposed method, we are able to detect more accurate activations in both simulated data and during a real-fMRI episodic memory task.
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