Introduction: Resting-state oscillatory activity has been extensively studied across a wide array of disorders. Establishing which spectrally- and spatially-specific oscillatory components exhibit test-retest reliability is essential to move the field forward. While studies have shown short-term reliability of MEG resting-state activity, no studies have examined test-retest reliability across an extended period of time to establish the stability of these signals, which is critical for reproducibility. Methods: We examined 18 healthy adults age 23 - 61 who completed three visits across three years. For each visit, participants completed both a resting state MEG and structural MRI scan. MEG data were source imaged, and the cortical power in c...
PurposeWorking memory (WM) represents the brain's ability to maintain information in a readily avail...
Recent studies have shown how MEG can reveal spatial patterns of functional connectivity using frequ...
Longitudinal analyses of magnetoencephalography (MEG) data are essential for a full understanding of...
Several studies have reported changes in spontaneous brain rhythms that could be used asclinical bio...
AbstractHigh frequency brain oscillations are associated with numerous cognitive and behavioral proc...
High frequency brain oscillations are associated with numerous cognitive and behavioral processes. N...
AbstractStability of oscillatory signatures across magnetoencephalography (MEG) measurements is an i...
AbstractClinical and cognitive dysfunction in Multiple Sclerosis (MS) is insufficiently explained by...
The resting activity of the brain can be described by so-called intrinsic connectivity networks (ICN...
MEG offers dynamic and spectral resolution for resting-state connectivity which is unavailable in fM...
The amplitude of low-frequency fluctuation (ALFF) measures low-frequency oscillations of the blood-o...
Purpose: In the present MEG-study, power spectral analysis of oscillatory brain activity was used to...
<div><p>The amplitude of low-frequency fluctuation (ALFF) measures low-frequency oscillations of the...
Working memory (WM) represents the brain’s ability to maintain information in a readily available st...
Recent years have witnessed an upsurge in the usage of resting-state functional magnetic resonance i...
PurposeWorking memory (WM) represents the brain's ability to maintain information in a readily avail...
Recent studies have shown how MEG can reveal spatial patterns of functional connectivity using frequ...
Longitudinal analyses of magnetoencephalography (MEG) data are essential for a full understanding of...
Several studies have reported changes in spontaneous brain rhythms that could be used asclinical bio...
AbstractHigh frequency brain oscillations are associated with numerous cognitive and behavioral proc...
High frequency brain oscillations are associated with numerous cognitive and behavioral processes. N...
AbstractStability of oscillatory signatures across magnetoencephalography (MEG) measurements is an i...
AbstractClinical and cognitive dysfunction in Multiple Sclerosis (MS) is insufficiently explained by...
The resting activity of the brain can be described by so-called intrinsic connectivity networks (ICN...
MEG offers dynamic and spectral resolution for resting-state connectivity which is unavailable in fM...
The amplitude of low-frequency fluctuation (ALFF) measures low-frequency oscillations of the blood-o...
Purpose: In the present MEG-study, power spectral analysis of oscillatory brain activity was used to...
<div><p>The amplitude of low-frequency fluctuation (ALFF) measures low-frequency oscillations of the...
Working memory (WM) represents the brain’s ability to maintain information in a readily available st...
Recent years have witnessed an upsurge in the usage of resting-state functional magnetic resonance i...
PurposeWorking memory (WM) represents the brain's ability to maintain information in a readily avail...
Recent studies have shown how MEG can reveal spatial patterns of functional connectivity using frequ...
Longitudinal analyses of magnetoencephalography (MEG) data are essential for a full understanding of...