[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 …

Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective

XN Zuo, XX Xing - Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …

Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains

D Demontis, GB Walters, G Athanasiadis, R Walters… - Nature …, 2023 - nature.com
Attention-deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder
with a major genetic component. Here, we present a genome-wide association study meta …

Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth

VJ Sydnor, B Larsen, J Seidlitz, A Adebimpe… - Nature …, 2023 - nature.com
Animal studies of neurodevelopment have shown that recordings of intrinsic cortical activity
evolve from synchronized and high amplitude to sparse and low amplitude as plasticity …

Harmonization of multi-site diffusion tensor imaging data

JP Fortin, D Parker, B Tunç, T Watanabe, MA Elliott… - Neuroimage, 2017 - Elsevier
Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

Task-induced brain state manipulation improves prediction of individual traits

AS Greene, S Gao, D Scheinost… - Nature communications, 2018 - nature.com
Recent work has begun to relate individual differences in brain functional organization to
human behaviors and cognition, but the best brain state to reveal such relationships remains …

[HTML][HTML] Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

R Ciric, DH Wolf, JD Power, DR Roalf, GL Baum… - Neuroimage, 2017 - Elsevier
Since initial reports regarding the impact of motion artifact on measures of functional
connectivity, there has been a proliferation of participant-level confound regression methods …

Development of structure–function coupling in human brain networks during youth

GL Baum, Z Cui, DR Roalf, R Ciric… - Proceedings of the …, 2020 - National Acad Sciences
The protracted development of structural and functional brain connectivity within distributed
association networks coincides with improvements in higher-order cognitive processes such …

QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data

M Cieslak, PA Cook, X He, FC Yeh, T Dhollander… - Nature …, 2021 - nature.com
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for
noninvasively studying the organization of white matter in the human brain. Here we …

Linked dimensions of psychopathology and connectivity in functional brain networks

CH Xia, Z Ma, R Ciric, S Gu, RF Betzel… - Nature …, 2018 - nature.com
Neurobiological abnormalities associated with psychiatric disorders do not map well to
existing diagnostic categories. High co-morbidity suggests dimensional circuit-level …