Linking interindividual variability in brain structure to behaviour

S Genon, SB Eickhoff, S Kharabian - Nature Reviews Neuroscience, 2022‏ - nature.com
What are the brain structural correlates of interindividual differences in behaviour? More
than a decade ago, advances in structural MRI opened promising new avenues to address …

[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization

F Hu, AA Chen, H Horng, V Bashyam, C Davatzikos… - NeuroImage, 2023‏ - Elsevier
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety

L Tozzi, X Zhang, A Pines, AM Olmsted, ES Zhai… - Nature medicine, 2024‏ - nature.com
There is an urgent need to derive quantitative measures based on coherent neurobiological
dysfunctions or 'biotypes' to enable stratification of patients with depression and anxiety. We …

Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality

YE Tian, V Cropley, AB Maier, NT Lautenschlager… - Nature medicine, 2023‏ - nature.com
Biological aging of human organ systems reflects the interplay of age, chronic disease,
lifestyle and genetic risk. Using longitudinal brain imaging and physiological phenotypes …

Data leakage inflates prediction performance in connectome-based machine learning models

M Rosenblatt, L Tejavibulya, R Jiang, S Noble… - Nature …, 2024‏ - nature.com
Predictive modeling is a central technique in neuroimaging to identify brain-behavior
relationships and test their generalizability to unseen data. However, data leakage …

Braingb: a benchmark for brain network analysis with graph neural networks

H Cui, W Dai, Y Zhu, X Kan, AAC Gu… - IEEE transactions on …, 2022‏ - ieeexplore.ieee.org
Map** the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …

A guide to ComBat harmonization of imaging biomarkers in multicenter studies

F Orlhac, JJ Eertink, AS Cottereau… - Journal of Nuclear …, 2022‏ - jnm.snmjournals.org
The impact of PET image acquisition and reconstruction parameters on SUV measurements
or radiomic feature values is widely documented. This scanner effect is detrimental to the …

Evaluation of brain-body health in individuals with common neuropsychiatric disorders

YE Tian, MA Di Biase, PE Mosley, MK Lupton… - JAMA …, 2023‏ - jamanetwork.com
Importance Physical health and chronic medical comorbidities are underestimated,
inadequately treated, and often overlooked in psychiatry. A multiorgan, systemwide …

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

DJ Hagler Jr, SN Hatton, MD Cornejo, C Makowski… - Neuroimage, 2019‏ - Elsevier
Abstract The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing,
nationwide study of the effects of environmental influences on behavioral and brain …

[HTML][HTML] Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan… - NeuroImage, 2020‏ - Elsevier
As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …