Sentence examples for control of brain activity from inspiring English sources
To permit rapid optical control of brain activity, we have engineered multiple lines of transgenic mice that express the light-activated cation channel Channelrhodopsin-2 (ChR2) in subsets of neurons.
Until a few years ago, selective control of brain activity was just a provocative idea.
Recently, studies have shown that fMRI feedback is feasible and facilitates voluntary control of brain activity.
Whereas exogenous BMIs that associate volitional control of brain activity with neurofeedback have been shown to induce long lasting plasticity, endogenous BMIs that use prolonged activity-dependent stimulation – and thus may curtail the time scale that governs natural sensorimotor integration loops – have been shown to induce short lasting plasticity.
Specifically, given the abundance of electrical synapses in other brain areas [41], such as the cerebral cortex, thalamus and hippocampus, and the widespread control of brain activity by circadian clocks [42], our results suggest that circadian clock control of the conductance of electrical synapses [43] may be a common and important means by which neural signaling is modulated in the brain.
Richard Sun, X, et al. "SnapShot: Optical control and imaging of brain activity".
Drawing on a range of disciplinary tools from graph theory to network control theory and optimization I will identify control points in brain networks, characterize trajectories of brain activity states following perturbation to those points, and propose a mechanism for how network control evolves in our brains as we grow from children into adults.
The main finding of our study was that each acupoint or control point resulted in a different pattern of brain activity when contrasted against all the other acupoints or control point.
Timing and sequence of brain activity in top-down control of visual-spatial attention.. Plos Biology, 5(1), e12.
Third, we used within-group permutation tests to assess the statistical significance of brain activity pattern clustering, which implicitly controls for differences in group size.
Compared with conventional analyses of brain waveforms, our new approach provides spatial, frequency, as well as volumetric descriptions of the abnormalities of brain activity in subjects with migraine compared with controls.
