Browsing Neuroscience by Issue Date
Now showing items 1-20 of 32
-
Allostatic load as a predictor of grey matter volume and white matter integrity in old age: The Whitehall II MRI study
(2018-04-23)The allostatic load index quantifies the cumulative multisystem physiological response to chronic everyday stress, and includes cardiovascular, metabolic and inflammatory measures. Despite its central role in the stress ... -
Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies
(2019-08)There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship ... -
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 ... -
Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe
(2020-03)Evolutionary adaptations of temporo-parietal cortex are considered to be a critical specialization of the human brain. Cortical adaptations, however, can affect different aspects of brain architecture, including local ... -
One thing leads to another: anticipating visual object identity based on associative-memory template
(2020-04)Probabilistic associations between stimuli afford memory templates that guide perception through pro-active anticipatory mechanisms. A great deal of work has examined the behavioural consequences and human electrophysiological ... -
Synchronisation of Neural Oscillations and Cross-modal Influences
(2020-04)At any given moment, we receive multiple signals from our different senses. Prior research has shown that signals in one sensory modality can influence neural activity and behavioural performance associated with another ... -
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 ... -
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 ... -
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) ... -
Right Lateralized Brain Reserve Offsets Age-Related Deficits in Ignoring Distraction
(2020-09)Age-related deterioration of attention decreases the ability to stay focused on the task at hand due to less efficient selection of relevant information and increased distractibility in the face of irrelevant, but salient ... -
Temporal Expectations Prepare Visual Working Memory for Behavior
(2020-09)Working memory enables us to retain past sensations in service of anticipated task demands. How we prepare for anticipated task demands during working memory retention remains poorly understood. Here, we focused on the ... -
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 ... -
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 ... -
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 ...
