Cortical thickness abnormalities at different stages of the illness course in schizophrenia: a systematic review and meta-analysis

Y Zhao, Q Zhang, C Shah, Q Li, JA Sweeney… - JAMA …, 2022 - jamanetwork.com
Importance Questions of whether and how cortical thickness (CTh) alterations differ over the
course of schizophrenia (SCZ) have yet to be resolved. Objective To characterize CTh …

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

PM Thompson, N Jahanshad, CRK Ching… - Translational …, 2020 - nature.com
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 …

[HTML][HTML] Brain charts for the human lifespan

RAI Bethlehem, J Seidlitz, SR White, JW Vogel… - Nature, 2022 - nature.com
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research
and clinical studies of the human brain. However, no reference standards currently exist to …

SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry

JE Iglesias, B Billot, Y Balbastre, C Magdamo… - Science …, 2023 - science.org
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 …

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

B Billot, C Magdamo, Y Cheng… - Proceedings of the …, 2023 - National Acad Sciences
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 …

Quantitative brain morphometry of portable low-field-strength MRI using super-resolution machine learning

JE Iglesias, R Schleicher, S Laguna, B Billot… - Radiology, 2022 - pubs.rsna.org
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 …

[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 …

[HTML][HTML] New insights into the dynamic development of the cerebral cortex in childhood and adolescence: Integrating macro-and microstructural MRI findings

LB Norbom, L Ferschmann, N Parker, I Agartz… - Progress in …, 2021 - Elsevier
Through dynamic transactional processes between genetic and environmental factors,
childhood and adolescence involve reorganization and optimization of the cerebral cortex …

Age-, sex-, and pathology-related variability in brain structure and cognition

D Bachmann, A Buchmann, S Studer, A Saake… - Translational …, 2023 - nature.com
This work aimed to investigate potential pathways linking age and imaging measures to
early age-and pathology-related changes in cognition. We used [18F]-Flutemetamol …

[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 …