Determination of Dominant Frequency of Resting-State Brain Interaction within One Functional System
نویسندگان
چکیده
منابع مشابه
Determination of Dominant Frequency of Resting-State Brain Interaction within One Functional System
Accumulating evidence has revealed that the resting-state functional connectivity (RSFC) is frequency specific and functional system dependent. Determination of dominant frequency of RSFC (RSFC(df)) within a functional system, therefore, is of importance for further understanding the brain interaction and accurately assessing the RSFC within the system. Given the unique advantages over other im...
متن کاملFrequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure
Resting state networks (RSNs) are sets of brain regions exhibiting temporally coherent activity fluctuations in the absence of imposed task structure. RSNs have been extensively studied with fMRI in the infra-slow frequency range (nominally <10(-1)Hz). The topography of fMRI RSNs reflects stationary temporal correlation over minutes. However, neuronal communication occurs on a much faster time ...
متن کاملBrain Connections – Resting State fMRI Functional Connectivity
With the introduction of electroencephalography (EEG) in 1930, researchers began to explore spontaneous activity in the brain by recording the individual, independently of any task. Subsequently, evoked potential studies, where electrical potentials were recorded at the onset of a stimulus, marked a milestone in brain research. Utilizing such methods coupled with experimental psychology, resear...
متن کاملResting-State Functional Connectivity in Rat Brain
Introduction Synchronized low-frequency fluctuations in resting-state fMRI (1) have been used to investigate functional connectivity between brain areas. Recent studies demonstrate that this technique can be utilized in the study of Alzheimers disease (2), antidepressant effects (3), and default mode of brain networks (4). So far, most resting-state fMRI studies have been performed on humans...
متن کاملDetermination of effective brain connectivity from functional connectivity with application to resting state connectivities.
Neural field theory insights are used to derive effective brain connectivity matrices from the functional connectivity matrix defined by activity covariances. The symmetric case is exactly solved for a resting state system driven by white noise, in which strengths of connections, often termed effective connectivities, are inferred from functional data; these include strengths of connections tha...
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: PLoS ONE
سال: 2012
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0051584