Quasi-periodic patterns contribute to functional connectivity in the brain
نویسندگان
چکیده
منابع مشابه
Brain Functional Connectivity Changes During Learning of Time Discrimination
The human brain is a complex system consist of connected nerve cells that adapts with and learn from the environment by changing its regional activities. Synchrony between these regional activities called functional network changes during the life, and with learning of new skills. Time perception and interval discrimination are among the most necessary skills for the human being to perceive mot...
متن کاملQuasi-periodic patterns of intrinsic brain activity in individuals and their relationship to global signal
Quasiperiodic patterns (QPPs) as reported by Majeed et al., 2011 are prominent features of the brain's intrinsic activity that involve important large-scale networks (default mode, DMN; task positive, TPN) and are likely to be major contributors to widely used measures of functional connectivity. We examined the variability of these patterns in 470 individuals from the Human Connectome Project ...
متن کاملForced Periodic and Quasi-Periodic Patterns in Anisotropic Systems
We investigate pattern formation in two-dimensional anisotropic systems under an external spatially periodic modulation force. Electrohydrodynamic convection or RayleighB6nard convection of nematic liquid crystals are typical examples of anisotropic pattern forming systems. We are especially interested in the situation where the wave vector of the convection rolls and the wave vector of the ext...
متن کاملGroup-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Resting-state networks (RSNs) can be reliably and reproducibly detected using independent component analysis (ICA) at both individual subject and group levels. Altering ICA dimensionality (model order) estimation can have a significant impact on the spatial characteristics of the RSNs as well as their parcellation into sub-networks. Recent evidence from several neuroimaging studies suggests tha...
متن کاملFunctional connectome fingerprinting: identifying individuals using patterns of brain connectivity
All individuals are unique. Nevertheless, human neuroimaging studies have traditionally collapsed data from many subjects to draw inferences about general patterns of brain activity that are common across people. Studies that contrast two populations—such as patients and healthy controls—typically ignore the considerable heterogeneity within each group. Despite the predominance of such populati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: NeuroImage
سال: 2019
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2019.01.076