Brain, Год журнала: 2016, Номер 139(8), С. 2307 - 2321
Опубликована: Июль 14, 2016
Functional brain networks demonstrate significant temporal variability and dynamic reconfiguration even in the resting state. Currently, most studies investigate of at scale single (micro) or whole-brain (macro) connectivity. However, mechanism underlying time-varying properties remains unclear, as coupling between network neural activity is not readily apparent when analysed either micro macroscales. We propose an intermediate (meso) analysis characterize functional architecture associated with a particular region. This yields topography that reflects and, importantly, creates analytical framework to establish fundamental relationship regional its structural find dynamical region into distinct modules different times may be indicative flexibility adaptability. Primary unimodal sensory-motor cortices low variability, while transmodal areas, including heteromodal association areas limbic system, high variability. In particular, regions highest such hippocampus/parahippocampus, inferior middle gyrus, olfactory gyrus caudate are all related learning, suggesting indicate level With simultaneously recorded electroencephalography/functional magnetic resonance imaging imaging/diffusion tensor data, we also modulated by local blood oxygen level-dependent α-band oscillation, governed ratio intra- inter-community Application mesoscale measure multicentre datasets three mental disorders matched controls involving 1180 subjects reveals those demonstrating extreme, i.e. highest/lowest liable change disorders. Specifically, draw attention identification diametrically opposing patterns changes schizophrenia deficit hyperactivity disorder/autism. Regions default-mode lower patients schizophrenia, but autism/attention disorder, compared respective controls. contrast, subcortical regions, especially thalamus, show higher patients, disorder. The these closely symptom scores. Our work provides insights organization how it nodal potentially useful predictor for learning rehabilitation.
Язык: Английский