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Transient spectral events in resting state MEG predict individual task responses
(2020-07)
Even in response to simple tasks such as hand movement, human brain activity shows remarkable inter-subject
variability. Recently, it has been shown that individual spatial variability in fMRI task responses can be ...
Prediction of brain age and cognitive age: quantifying brain and cognitive maintenance in aging
(2020-06)
The concept of brain maintenance refers to the preservation of brain integrity in older age, whilecognitive reserverefers to the capacity to maintain cognition in the presence of neurodegeneration or aging-related brain ...
Associations Between Longitudinal Trajectories of Cognitive and Social Activities and Brain Health in Old Age
(2020-08)
Importance Prior neuroimaging studies have found that late-life participation in cognitive (eg, reading) and social (eg, visiting friends and family) leisure activities are associated with magnetic resonance imaging (MRI) ...
Dissecting Transient Burst Events
(2020-10)
Increasing efforts are being made to understand the role of intermittent, transient, high-power burst events of neural activity. These events have a temporal, spectral, and spatial domain. Here, we argue that considering ...
Challenges and future directions for representations of functional brain organization
(2020-10)
A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI
scans acquired at rest offer insights into functional integration via patterns of coherent ...
EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python
(2021-03)
The Empirical Mode Decomposition (EMD) package contains Python (>=3.5) functions for
analysis of non-linear and non-stationary oscillatory time series. EMD implements a family of
sifting algorithms, instantaneous frequency ...
Study Protocol: The Heart and Brain Study
(2021-03)
Background: It is well-established that what is good for the heart is good for the brain. Vascular factors such as hypertension, diabetes, and high cholesterol, and genetic factors such as the apolipoprotein E4 allele ...
Replay bursts in humans coincide with activation of the default mode and parietal alpha networks
(2020-12)
Replay in humans coincides with activity in specific resting brain networks
Clusters of heightened default mode and alpha activity are linked to replay bursts
These networks are characterized by highly synchronized ...
Generalizing Brain Decoding Across Subjects with Deep Learning
(2022-05)
Decoding experimental variables from brain imaging data is gaining popularity,
with applications in brain-computer interfaces and the study of neural representations. Decoding is typically subject-specific and does not ...
The relationship between frequency content and representational dynamics in the decoding of neurophysiological data
(2022-02)
Decoding of high temporal resolution, stimulus-evoked neurophysiological data is
increasingly used to test theories about how the brain processes information. However, a
fundamental relationship between the frequency ...