Browsing Neuroscience by Subject "Brain Activity"
Now showing items 1-15 of 15
-
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) ... -
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 ... -
Comparison of Cerebral Blood Flow in Regions Relevant to Cognition After Enzalutamide, Darolutamide, and Placebo in Healthy Volunteers: A Randomized Crossover Trial
(2023-05)Off-target central nervous system (CNS) effects are associated with androgen receptor (AR)-targeting treatments for prostate cancer. Darolutamide is a structurally distinct AR inhibitor with low blood–brain barrier ... -
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 ... -
Dopaminergic modulation of regional cerebral blood flow: An arterial spin labelling study of genetic and pharmacological manipulation of COMT activity
(2021-07)Dopamine has direct and complex vasoactive effects on cerebral circulation. Catechol-O-methyltransferase (COMT) regulates cortical dopamine, and its activity can be influenced both genetically and pharmacologically. COMT ... -
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 ... -
Examining the Neural Correlates of Error Awareness in a Large fMRI Study
(2022-01)Goal-directed behaviour is dependent upon the ability to detect errors and implement appropriate post-error adjustments. Accordingly, several studies have explored the neural activity underlying error-monitoring processes, ... -
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 ... -
A macroscopic link between interhemispheric tract myelination and cortico-cortical interactions during action reprogramming
(2021-12)Myelination has been increasingly implicated in the function and dysfunction of the adult human brain. Although it is known that axon myelination shapes axon physiology in animal models, it is unclear whether a similar ... -
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study
(2020-01)Brain age is becoming a widely applied imaging-based biomarker of neural aging and potential proxy for brain integrity and health. We estimated multimodal and modality-specific brain age in the Whitehall II MRI cohort using ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...
