Sentence examples for for single subject from inspiring English sources

The ICA with projection (ICAp) method proposed by our group (Hum Brain Mapp 2009 30 417 31) is demonstrated to be able to solve the interactions among task-related components for single subject fMRI data.

Figure 2 SUV maps (transverse view) for single subject.

Figure 2 AIFs and TACs derived for single subject using (A) MR ROIs, (B) PET ROIs with PVC and (C) MR ROIs with PVC.

These metrics are: the time-and frequency-bandwidth of the wave packet peak (to the  dB point of the peak), the frequency center of the wave packet peak, and the percent of energy in the signal above 100 Hz. Figure 4 shows the cross time-frequency distribution of a left and right EMG wave packet for single subject, with the two wave packets represented in both the time and frequency domain.

Significant activations revealed in the group analysis were used as regions of interests (ROIs) for single subject correlation analyses.

The returning subject group results are also highly consistent with the maps from the original group (Fig. 4C, F, for single subject analysis see Figs. S6, S8).

For single subjects, see Figure 2 figure supplement 2. Behavior and neural spike count data for Figure 2 and Figure 2 figure supplements 1 and 2 can be found in Figure 2 source data 1.

While overlapping ASL perfusion abnormalities relative to FDG were demonstrated at a group level, future studies are necessary to clarify the clinical potential of this application for single subjects, while also controlling for common confounding effects.

Network architecture was specified on the basis of the inverse solutions (source localizations; see Fig. 1) for single subjects using multiple sparse priors (Friston et al. 2008) and was constrained by recent studies of functional connectivity on verbal WM (Fiebach et al. 2006; Nee and Jonides 2008).

Mean weighted ESs were 0.42 for between-subjects design studies, 0.87 for within-subjects design studies, and 1.87 for single-subject design studies.

Churchill, N. W. et al. Optimizing preprocessing and analysis pipelines for single-subject fMRI.