The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large‐scale resting‐state functional brain networks in aging

HA Deery, R Di Paolo, C Moran, GF Egan… - …, 2023‏ - Wiley Online Library
The literature on large‐scale resting‐state functional brain networks across the adult
lifespan was systematically reviewed. Studies published between 1986 and July 2021 were …

Brain connectomics: time for a molecular imaging perspective?

A Sala, A Lizarraga, SP Caminiti, VD Calhoun… - Trends in cognitive …, 2023‏ - cell.com
In the past two decades brain connectomics has evolved into a major concept in
neuroscience. However, the current perspective on brain connectivity and how it underpins …

[HTML][HTML] Hemodynamic and metabolic correspondence of resting-state voxel-based physiological metrics in healthy adults

S Deng, CG Franklin, M O'Boyle, W Zhang, BL Heyl… - Neuroimage, 2022‏ - Elsevier
Voxel-based physiological (VBP) variables derived from blood oxygen level dependent
(BOLD) fMRI time-course variations include: amplitude of low frequency fluctuations (ALFF) …

[HTML][HTML] Identifying brain networks in synaptic density PET (11C-UCB-J) with independent component analysis

XT Fang, T Toyonaga, AT Hillmer, D Matuskey… - Neuroimage, 2021‏ - Elsevier
Background The human brain is inherently organized into distinct networks, as reported
widely by resting-state functional magnetic resonance imaging (rs-fMRI), which are based …

Gender-related differences in regional cerebral glucose metabolism in normal aging brain

B Feng, J Cao, YP Yu, HY Yang, YHY Jiang… - Frontiers in Aging …, 2022‏ - frontiersin.org
Objectives: This study was aimed to investigate the gender-related differences of regional
cerebral glucose metabolism in healthy people along the age using 18F-FDG PET/CT …

Expanding the role of education in frontotemporal dementia: a functional dynamic connectivity (the chronnectome) study

E Premi, V Cristillo, S Gazzina, A Benussi, A Alberici… - Neurobiology of …, 2020‏ - Elsevier
In the present study, we aim at investigating whether education modulates dynamical
properties of time-varying whole-brain network connectivity (the chronnectome) in …

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies

M Nguyen, GH Ngo, MR Sabuncu - arxiv preprint arxiv:2210.07416, 2022‏ - arxiv.org
The Granger framework is widely used for discovering causal relationships based on time-
varying signals. Implementations of Granger causality (GC) are mostly developed for …

Revealing Alzheimer's Disease Dementia Patterns in [18F] Florbetapir PET with Independent Component Analysis

N Khasayeva, C Eierud, KM Jensen… - 2024 46th Annual …, 2024‏ - ieeexplore.ieee.org
This study investigates Alzheimer's Disease (AD) dementia through [18F] Florbetapir ([18F]
FBP) Positron Emission Tomography (PET) imaging. We employ Independent Component …

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies

M Nguyen, GH Ngo, MR Sabuncu - Machine Learning for …, 2024‏ - melba-journal.org
The Granger framework is useful for discovering causal relations in time-varying signals.
However, most Granger causality (GC) methods are developed for densely sampled time …

Regional changes with global brain hypometabolism indicates a physiological triage phenomenon and can explain shared pathophysiological events in Alzheimer's & …

SK Gupta, N Rutherford, X Dolja-Gore… - American Journal of …, 2021‏ - pmc.ncbi.nlm.nih.gov
While reduced global brain metabolism is known in aging, Alzheimer's disease (AD), small
vessel disease (SVD) and delirium, explanation of regional brain metabolic (rBM) changes …