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Showing 1 to 2 of 2 for “"Amplitude of low-frequency fluctuations (ALFF)"”.

  1. Differentiating schizophrenic patients from healthy control; application of machine learning to resting state fmri

    … approach that has grown in popularity is the use of machine learning algorithms to train classifiers to decode stimuli, mental states, behaviors and other variables of interest from fMRI data. Most of these studies focus on fMRI low frequency oscillations. This study focuses on the amplitude of

    njit Repository record for Differentiating schizophrenic patients from healthy control; application of machine learning to resting state fmri (opens in a new tab)

  2. Effect of scan time on resting state parameters

    … decade the interest in studying the spontaneous low-frequency fluctuations (LFF) in a resting-state brain has steadily grown. By measuring LFF (< 0.08 Hz) in blood-oxygen-level-dependent (BOLD) signals, resting-state functional magnetic resonance imaging (rs-fMRI) has proven to be a powerful tool …

    njit Repository record for Effect of scan time on resting state parameters (opens in a new tab)