Multi-modal structural data fusion questions the specificity of fMRI-behavior associations by providing strong evidence relating human brain structure to a wide range of behavioral measures previously associated to functional connectivity.
The combination of intraneural microstimulation and 7T fMRI makes it possible to bridge the gap between first-order mechanoreceptive afferent input codes and their spatial, dynamic and perceptual representations in human cortex.
MRI methods are promising techniques for investigating the human subcortical auditory system, and these publicly available data, atlases, and tools make researching human audition simpler and more reliable.
Distinct brain states govern resting state functional architecture revealed by neurophysiologically defined simultaneous optic-fiber-based calcium recordings and task-free functional magnetic resonance imaging (fMRI) in rats.
Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.
Functional coupling between visual areas reflects supra-areal eccentricity organization distinct from overlapping receptive field connectivity during both rest conditions and naturalistic movie viewing.
Resting-state MEG-activity and MRS-GABA/Glx measurements reveal that there is a significant shift in excitability during the course of schizophrenia, involving hyperexcitability during the onset and a reduction at chronic stages.
Functional magnetic resonance imaging and multivariate pattern analysis reveal remapping-like behavior during successful retrieval of competing environments, while unsuccessful retrieval is accompanied by reinstatement of interfering representations.