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] The dynamic functional connectome: State-of-the-art and perspectives

MG Preti, TAW Bolton, D Van De Ville - Neuroimage, 2017 - Elsevier
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …

The OpenNeuro resource for sharing of neuroscience data

CJ Markiewicz, KJ Gorgolewski, F Feingold, R Blair… - Elife, 2021 - elifesciences.org
The sharing of research data is essential to ensure reproducibility and maximize the impact
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN …

fMRIPrep: a robust preprocessing pipeline for functional MRI

O Esteban, CJ Markiewicz, RW Blair, CA Moodie… - Nature …, 2019 - nature.com
Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI

A Schaefer, R Kong, EM Gordon, TO Laumann… - Cerebral …, 2018 - academic.oup.com
A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …

Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging

A Horn, N Li, TA Dembek, A Kappel, C Boulay, S Ewert… - Neuroimage, 2019 - Elsevier
Deep brain stimulation (DBS) is a highly efficacious treatment option for movement disorders
and a growing number of other indications are investigated in clinical trials. To ensure …

Using connectome-based predictive modeling to predict individual behavior from brain connectivity

X Shen, ES Finn, D Scheinost, MD Rosenberg… - nature protocols, 2017 - nature.com
Neuroimaging is a fast-developing research area in which anatomical and functional images
of human brains are collected using techniques such as functional magnetic resonance …

Magnetoencephalography for brain electrophysiology and imaging

S Baillet - Nature neuroscience, 2017 - nature.com
We review the aspects that uniquely characterize magnetoencephalography (MEG) among
the techniques available to explore and resolve brain function and dysfunction. While …

[HTML][HTML] Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists

HT Wang, J Smallwood, J Mourao-Miranda, CH Xia… - NeuroImage, 2020 - Elsevier
The 21st century marks the emergence of “big data” with a rapid increase in the availability
of datasets with multiple measurements. In neuroscience, brain-imaging datasets are more …

[PDF][PDF] The dynamics of functional brain networks: integrated network states during cognitive task performance

JM Shine, PG Bissett, PT Bell, O Koyejo, JH Balsters… - Neuron, 2016 - cell.com
Higher brain function relies upon the ability to flexibly integrate information across
specialized communities of brain regions; however, it is unclear how this mechanism …