Sentence examples for multiple brain networks from inspiring English sources

Multiple brain networks may support visual self-recognition.

The results thus supported and provided evidence of multiple brain networks for visual self-recognition.

Both a human fMRI rest data-based simulation and real fMRI experiments, of block design and ER design, verified the feasibility and reliability of group ICAp, as well as demonstrated that ICAp had the strength to separate 4D multi-task fMRI data into multiple brain networks engaged in each cognitive task and to adequately find the commonalities and differences among multiple tasks.

In this study, we examine the hypothesis that the neurobiological basis of the teratological effects of PCE may involve baseline (or resting state) alterations in the interactions between multiple brain networks and hence may not be apparent in spatially localized task based activations.

Some recent work has examined resting-state fMRI synchrony in multiple brain networks in individuals with current alcohol use disorder (AUD) (Weiland et al. 2014).

These findings link literatures that have previously had little interaction and demonstrate that multiple brain networks support task performance in distinct but cooperative ways.

Time-resolved TMS over multiple brain network nodes can elucidate the relative timings of functional relevance for behavior ("TMS chronometry"), while fMRI functional or effective connectivity (fMRI EC) can map task-specific interactions between brain regions based on the interrelation of measured signals.

This technique has been demonstrated to be useful in exploring multiple brain functional networks, such as vision, language, attention, and the default mode network (DMN) [ 12] and has also been used to compare normal subjects with patients with neuropsychiatric disorders [ 13].

The frontal cortex is responsible for executive function, which may involve coordination of multiple human brain networks [ 17].

Functional connectivity MRI (fc-MRI) provides a tool for the investigation of multiple intrinsic brain networks by detecting spontaneous correlations between fluctuations in regional brain activity while a subject rests passively in the scanner, and provides measures of network topography and integrity (Biswal et al., 1995; Van Dijk et al., 2010).

This chapter reviews fMRI network synchrony, or functional connectivity, studies suggesting that faulty coactivation or synchrony of multiple brain regions comprising networks, or an imbalance between opposing brain networks, is important in alcoholism.