[HTML][HTML] Dump the “dimorphism”: Comprehensive synthesis of human brain studies reveals few male-female differences beyond size

L Eliot, A Ahmed, H Khan, J Patel - Neuroscience & Biobehavioral Reviews, 2021 - Elsevier
With the explosion of neuroimaging, differences between male and female brains have been
exhaustively analyzed. Here we synthesize three decades of human MRI and postmortem …

A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis

S Noble, D Scheinost, RT Constable - Neuroimage, 2019 - Elsevier
Background Once considered mere noise, fMRI-based functional connectivity has become a
major neuroscience tool in part due to early studies demonstrating its reliability. These …

Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder

AM Buch, PE Vértes, J Seidlitz, SH Kim… - Nature …, 2023 - nature.com
The mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD)
are not well understood. Using a large neuroimaging dataset, we identified three latent …

DPABI: data processing & analysis for (resting-state) brain imaging

CG Yan, XD Wang, XN Zuo, YF Zang - Neuroinformatics, 2016 - Springer
Brain imaging efforts are being increasingly devoted to decode the functioning of the human
brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding …

[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 …

Hierarchical dynamics as a macroscopic organizing principle of the human brain

RV Raut, AZ Snyder… - Proceedings of the …, 2020 - National Acad Sciences
Multimodal evidence suggests that brain regions accumulate information over timescales
that vary according to anatomical hierarchy. Thus, these experimentally defined “temporal …

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

A Abraham, MP Milham, A Di Martino, RC Craddock… - NeuroImage, 2017 - Elsevier
Abstract Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise
to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such …

Enhancing studies of the connectome in autism using the autism brain imaging data exchange II

A Di Martino, D O'connor, B Chen, K Alaerts… - Scientific data, 2017 - nature.com
The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance
the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent …

An open resource for transdiagnostic research in pediatric mental health and learning disorders

LM Alexander, J Escalera, L Ai, C Andreotti, K Febre… - Scientific data, 2017 - nature.com
Technological and methodological innovations are equipping researchers with
unprecedented capabilities for detecting and characterizing pathologic processes in the …

Building a science of individual differences from fMRI

J Dubois, R Adolphs - Trends in cognitive sciences, 2016 - cell.com
To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …