[HTML][HTML] ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
This review summarizes the last decade of work by the ENIGMA (E nhancing N euro I
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
[HTML][HTML] Ethical considerations for precision psychiatry: a roadmap for research and clinical practice
P Fusar-Poli, M Manchia, N Koutsouleris… - European …, 2022 - Elsevier
Precision psychiatry is an emerging field with transformative opportunities for mental health.
However, the use of clinical prediction models carries unprecedented ethical challenges …
However, the use of clinical prediction models carries unprecedented ethical challenges …
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in
hospitals across the world. These have the potential to revolutionize our understanding of …
hospitals across the world. These have the potential to revolutionize our understanding of …
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Every year, millions of brain MRI scans are acquired in hospitals, which is a figure
considerably larger than the size of any research dataset. Therefore, the ability to analyze …
considerably larger than the size of any research dataset. Therefore, the ability to analyze …
Quantitative brain morphometry of portable low-field-strength MRI using super-resolution machine learning
Background Portable, low-field-strength (0.064-T) MRI has the potential to transform
neuroimaging but is limited by low spatial resolution and low signal-to-noise ratio. Purpose …
neuroimaging but is limited by low spatial resolution and low signal-to-noise ratio. Purpose …
[HTML][HTML] Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation
R Ge, Y Yu, YX Qi, Y Fan, S Chen, C Gao… - The Lancet Digital …, 2024 - thelancet.com
The value of normative models in research and clinical practice relies on their robustness
and a systematic comparison of different modelling algorithms and parameters; however …
and a systematic comparison of different modelling algorithms and parameters; however …
Greater male than female variability in regional brain structure across the lifespan
For many traits, males show greater variability than females, with possible implications for
understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro …
understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro …
[HTML][HTML] Contextualizing adolescent structural brain development: Environmental determinants and mental health outcomes
The spatiotemporal group-level patterns of brain macrostructural development are relatively
well-documented. Current research emphasizes individual variability in brain development …
well-documented. Current research emphasizes individual variability in brain development …
[HTML][HTML] Four-dimensional mapping of dynamic longitudinal brain subcortical development and early learning functions in infants
Brain subcortical structures are paramount in many cognitive functions and their aberrations
during infancy are predisposed to various neurodevelopmental and neuropsychiatric …
during infancy are predisposed to various neurodevelopmental and neuropsychiatric …
[HTML][HTML] Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer's disease
Background Although convolutional neural networks (CNNs) achieve high diagnostic
accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance …
accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance …