Motion robust MR fingerprinting scan to image neonates with prenatal opioid exposure
Purpose To explore whether MR fingerprinting (MRF) scans provide motion‐robust and
quantitative brain tissue measurements for non‐sedated infants with prenatal opioid …
quantitative brain tissue measurements for non‐sedated infants with prenatal opioid …
[HTML][HTML] Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria
Modelling population reference curves or normative modelling is increasingly used with the
advent of large neuroimaging studies. In this paper we assess the performance of fitting …
advent of large neuroimaging studies. In this paper we assess the performance of fitting …
The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration
Recent advances in open neuroimaging data are enhancing our comprehension of
neuropsychiatric disorders. By pooling images from various cohorts, statistical power has …
neuropsychiatric disorders. By pooling images from various cohorts, statistical power has …
[HTML][HTML] Functional connectome through the human life span
The lifespan growth of the functional connectome remains unknown. Here, we assemble
task-free functional and structural magnetic resonance imaging data from 33,250 individuals …
task-free functional and structural magnetic resonance imaging data from 33,250 individuals …
A paradigm shift in neuroscience driven by big data: state of art, challenges, and proof of concept
ZX Zhou, XN Zuo - arXiv preprint arXiv:2212.04195, 2022 - arxiv.org
A recent editorial in Nature noted that cognitive neuroscience is at a crossroads where it is a
thorny issue to reliably reveal brain-behavior associations. This commentary sketches a big …
thorny issue to reliably reveal brain-behavior associations. This commentary sketches a big …
Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders
BackgroundMood disorders are characterized by great heterogeneity in clinical
manifestation. Uncovering such heterogeneity using neuroimaging-based individual …
manifestation. Uncovering such heterogeneity using neuroimaging-based individual …
A longitudinal resource for population neuroscience of school-age children and adolescents in China
XR Fan, YS Wang, D Chang, N Yang, MJ Rong… - Scientific data, 2023 - nature.com
During the past decade, cognitive neuroscience has been calling for population diversity to
address the challenge of validity and generalizability, ushering in a new era of population …
address the challenge of validity and generalizability, ushering in a new era of population …
[HTML][HTML] Predicting depression risk in early adolescence via multimodal brain imaging
Depression is an incapacitating psychiatric disorder with increased risk through
adolescence. Among other factors, children with family history of depression have …
adolescence. Among other factors, children with family history of depression have …
Impact of Initialization on Intra-subject Pediatric Brain MR Image Registration: A Comparative Analysis between SyN ANTs and Deep Learning-Based Approaches
This study evaluates the performance of conventional SyN ANTs and learning-based
registration methods in the context of pediatric neuroimaging, specifically focusing on …
registration methods in the context of pediatric neuroimaging, specifically focusing on …
A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
P Gao, HM Dong, SM Liu, XR Fan, C Jiang, YS Wang… - Scientific Data, 2022 - nature.com
The big-data use is becoming a standard practice in the neuroimaging field through data-
sharing initiatives. It is important for the community to realize that such open science effort …
sharing initiatives. It is important for the community to realize that such open science effort …