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Now showing items 11-20 of 28
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 ...
Functional biases in attentional templates from associative memory
(2020-12)
In everyday life, attentional templates—which facilitate the perception of task-relevant sensory inputs—are often based on associations in long-term memory. We ask whether templates retrieved from memory are necessarily ...
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data
(2021-02)
A major goal of large-scale brain imaging datasets is to provide resources for investigating heterogeneous
populations. Characterisation of functional brain networks for individual subjects from these datasets will have
an ...
Effect of glucose and sucrose on cognition in healthy humans: a systematic review and meta-analysis of interventional studies
(2021-02)
Evidence suggests that plasma glucose levels may influence cognitive performance, but this has not been systematically reviewed and quantified. Objective: The aim of this review was to investigate the potential effects of ...
Individual variation in brain microstructural-cognition relationships in aging
(2021-02)
While all individuals are susceptible to age-related cognitive decline, significant inter- and
intra-individual variability exists. However, the sources of this variation remain poorly understood. Here,
we examined the ...
Output planning at the input stage in visual working memory
(2021-03)
Working memory serves as the buffer between past sensations and future behavior, making it vital to understand not only how we encode and retain sensory information in memory but also how we plan for its upcoming use. We ...
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 ...
Introducing the tablet-based Oxford Cognitive Screen-Plus (OCS-Plus) as an assessment tool for subtle cognitive impairments
(2021-04)
Here, we present the Oxford Cognitive Screen-Plus, a computerised tablet-based screen designed to briefly assess domain-general cognition and provide more fine-grained measures of memory and executive function. The OCS-Plus ...
Delineating between-subject heterogeneity in alpha networks with Spatio-Spectral Eigenmodes
(2021-10)
Between subject variability in the spatial and spectral structure of oscillatory networks can be highly informative but poses a considerable analytic challenge. Here, we describe a data-driven modal decomposition of a ...