[HTML][HTML] NODDI in clinical research

K Kamiya, M Hori, S Aoki - Journal of neuroscience methods, 2020‏ - Elsevier
Diffusion MRI (dMRI) has proven to be a useful imaging approach for both clinical diagnosis
and research investigating the microstructures of nervous tissues, and it has helped us to …

White matter changes in Parkinson's disease

K Yang, Z Wu, J Long, W Li, X Wang, N Hu… - npj Parkinson's …, 2023‏ - nature.com
Parkinson's disease (PD) is the second most common neurodegenerative disease after
Alzheimer's disease (AD). It is characterized by a progressive loss of dopaminergic neurons …

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

EJ Allen, G St-Yves, Y Wu, JL Breedlove… - Nature …, 2022‏ - nature.com
Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …

Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes

V Warrier, EM Stauffer, QQ Huang, EM Wigdor… - Nature …, 2023‏ - nature.com
Our understanding of the genetics of the human cerebral cortex is limited both in terms of the
diversity and the anatomical granularity of brain structural phenotypes. Here we conducted a …

[HTML][HTML] SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI

M Palombo, A Ianus, M Guerreri, D Nunes… - Neuroimage, 2020‏ - Elsevier
This work introduces a compartment-based model for apparent cell body (namely soma) and
neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI). The …

The default mode network's role in discrete emotion

AB Satpute, KA Lindquist - Trends in cognitive sciences, 2019‏ - cell.com
Emotions are often assumed to manifest in subcortical limbic and brainstem structures.
While these areas are clearly important for representing affect (eg, valence and arousal), we …

Edges in brain networks: Contributions to models of structure and function

J Faskowitz, RF Betzel, O Sporns - Network Neuroscience, 2022‏ - direct.mit.edu
Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

brainlife. io: a decentralized and open-source cloud platform to support neuroscience research

S Hayashi, BA Caron, AS Heinsfeld, S Vinci-Booher… - Nature …, 2024‏ - nature.com
Neuroscience is advancing standardization and tool development to support rigor and
transparency. Consequently, data pipeline complexity has increased, hindering FAIR …

[HTML][HTML] White matter plasticity in healthy older adults: the effects of aerobic exercise

AM Colmenares, MW Voss, J Fanning, EA Salerno… - Neuroimage, 2021‏ - Elsevier
White matter deterioration is associated with cognitive impairment in healthy aging and
Alzheimer's disease. It is critical to identify interventions that can slow down white matter …

[HTML][HTML] DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning

Q Tian, B Bilgic, Q Fan, C Liao, C Ngamsombat, Y Hu… - NeuroImage, 2020‏ - Elsevier
Diffusion tensor magnetic resonance imaging (DTI) is unsurpassed in its ability to map tissue
microstructure and structural connectivity in the living human brain. Nonetheless, the …