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Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults
TLDR
The results suggest that low- performing older adults recruited a similar network as young adults but used it inefficiently, whereas high-performing older adults counteracted age-related neural decline through a plastic reorganization of neurocognitive networks. Expand
Spatial Pattern Analysis of Functional Brain Images Using Partial Least Squares
TLDR
Partial least squares serves as an important extension by extracting new information from imaging data that is not accessible through other currently used univariate and multivariate image analysis tools. Expand
Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review
TLDR
For both PLS methods, statistical inferences are implemented using cross-validation techniques to identify significant patterns of voxel activation and are presented with small numerical examples and typical applications in neuroimaging. Expand
Partial least squares analysis of neuroimaging data: applications and advances
TLDR
This paper reviews the more recent extension of PLS to the analysis of spatiotemporal patterns present in fMRI, ERP, and MEG data and discusses its role as an important tool in a pluralistic analytic approach to neuroimaging. Expand
Emerging concepts for the dynamical organization of resting-state activity in the brain
TLDR
Three large-scale neural system models of primate neocortex that emphasize the key contributions of local dynamics, signal transmission delays and noise to the emerging RSNs are reviewed. Expand
Age-Related Differences in Neural Activity during Memory Encoding and Retrieval: A Positron Emission Tomography Study
TLDR
The results indicate that advanced age is associated with neural changes in the brain systems underlying encoding, recognition, and recall that take two forms: age- related decreases in local regional activity, which may signal less efficient processing by the old, and age-related increases in activity,Which may signal functional compensation. Expand
Limbic–frontal circuitry in major depression: a path modeling metanalysis
TLDR
The creation of such models is a first step toward full characterization of the depression phenotype at the neural systems level, with implications for the future development of brain-based algorithms to determine optimal treatment selection for individual patients. Expand
Spatiotemporal analysis of event-related fMRI data using partial least squares
TLDR
This paper presents the extension of spatiotemporal PLS to fMRI, explaining the theoretical foundation and application to an fMRI study of auditory and visual perceptual memory and several unique observations by ST-PLS, including enhanced statistical power. Expand
Blood Oxygen Level-Dependent Signal Variability Is More than Just Noise
TLDR
This work examined fMRI signal variability during fixation baseline periods, and compared SD- and mean-based spatial patterns and their relations with chronological age, and found that not only was the SD-based pattern robust, it differed greatly, both spatially and statistically, from the mean- based pattern. Expand
Key role of coupling, delay, and noise in resting brain fluctuations
TLDR
In numerical simulation, the dynamics of a simplified cortical network using 38 noise-driven (Wilson–Cowan) oscillators, which in isolation remain just below their oscillatory threshold are studied, indicating the presence of stochastic resonance and high sensitivity to changes in diffuse feedback activity. Expand
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