Towards a universal taxonomy of macro-scale functional human brain networks

LQ Uddin, BT Yeo, RN Spreng - Brain topography, 2019 - Springer
The past decade has witnessed a proliferation of studies aimed at characterizing the human
connectome. These projects map the brain regions comprising large-scale systems …

[HTML][HTML] Recent developments in representations of the connectome

JD Bijsterbosch, SL Valk, D Wang, MF Glasser - NeuroImage, 2021 - Elsevier
Research into the human connectome (ie, all connections in the human brain) with the use
of resting state functional MRI has rapidly increased in popularity in recent years, especially …

Individual-specific areal-level parcellations improve functional connectivity prediction of behavior

R Kong, Q Yang, E Gordon, A Xue, X Yan… - Cerebral …, 2021 - academic.oup.com
Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …

[HTML][HTML] A computational model of neurodegeneration in Alzheimer's disease

D Jones, V Lowe, J Graff-Radford, H Botha… - Nature …, 2022 - nature.com
Disruption of mental functions in Alzheimer's disease (AD) and related disorders is
accompanied by selective degeneration of brain regions. These regions comprise large …

[HTML][HTML] Brain parcellation selection: An overlooked decision point with meaningful effects on individual differences in resting-state functional connectivity

NV Bryce, JC Flournoy, JFG Moreira, ML Rosen… - NeuroImage, 2021 - Elsevier
Over the past decade extensive research has examined the segregation of the human brain
into large-scale functional networks. The resulting network maps, ie parcellations, are now …

Age differences in the functional architecture of the human brain

R Setton, L Mwilambwe-Tshilobo, M Girn… - Cerebral …, 2023 - academic.oup.com
The intrinsic functional organization of the brain changes into older adulthood. Age
differences are observed at multiple spatial scales, from global reductions in modularity and …

A practical guide to methodological considerations in the controllability of structural brain networks

TM Karrer, JZ Kim, J Stiso, AE Kahn… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Predicting how the brain can be driven to specific states by means of internal or
external control requires a fundamental understanding of the relationship between neural …

[HTML][HTML] Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks

DM Lydon-Staley, C Kuehner, V Zamoscik… - Translational …, 2019 - nature.com
Repetitive negative thinking (RNT) is a maladaptive response to sadness and a
transdiagnostic risk-factor. A critical challenge hampering attempts to promote more …

[HTML][HTML] Dissociable multi-scale patterns of development in personalized brain networks

AR Pines, B Larsen, Z Cui, VJ Sydnor… - Nature …, 2022 - nature.com
The brain is organized into networks at multiple resolutions, or scales, yet studies of
functional network development typically focus on a single scale. Here, we derive …

[HTML][HTML] A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes

C Rossi, D Vidaurre, L Costers, F Akbarian… - Communications …, 2023 - nature.com
The brain dynamics underlying working memory (WM) unroll via transient frequency-specific
large-scale brain networks. This multidimensionality (time, space, and frequency) …