The common factor that underlies several types of functional brain imaging is the electric
current of masses of dendrites. The prodigious demands for the energy that is required to …

Measures of brain activity with high temporal resolution have shown that the information
represented in a single brain region undergoes dynamic changes on the scale of …

Cognitive neuroscience relies on two sets of techniques to map the neural networks
underlying cognition in humans: recordings of either regional metabolic changes (fMRI or …

The brain is the body's largest energy consumer, even in the absence of demanding tasks.
Electrophysiologists report on-going neuronal firing during stimulation or task in regions …

Accurate description of human brain function requires the separation of true neural signal
from noise. Recent work examining spatial and temporal properties of whole-brain fMRI …

Different imaging modalities capture different aspects of brain activity. Functional magnetic
resonance imaging (fMRI) reveals intrinsic networks whose BOLD signals have periods from …

Whole-brain fMRI signals are a subject of intense interest: variance in the global fMRI signal
(the spatial mean of all signals in the brain) indexes subject arousal, and psychiatric …

Functional magnetic resonance imaging (fMRI) has revealed that the human brain
undergoes prominent, regional hemodynamic fluctuations when a subject is at rest. These …

Understanding the neural basis of brain functioning requires knowledge about the spatial
and temporal aspects of information processing. Functional magnetic resonance imaging …

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are
important tools in cognitive and clinical neuroscience. Combined EEG–fMRI has been …