[HTML][HTML] Don't fear 'fear conditioning': Methodological considerations for the design and analysis of studies on human fear acquisition, extinction, and return of fear

TB Lonsdorf, MM Menz, M Andreatta… - Neuroscience & …, 2017 - Elsevier
The so-called 'replicability crisis' has sparked methodological discussions in many areas of
science in general, and in psychology in particular. This has led to recent endeavours to …

The human connectome project's neuroimaging approach

MF Glasser, SM Smith, DS Marcus… - Nature …, 2016 - nature.com
Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous
methodological advances have also occurred, though inertia has slowed their adoption. This …

A prognostic neural epigenetic signature in high-grade glioma

R Drexler, R Khatri, T Sauvigny, M Mohme, CL Maire… - Nature Medicine, 2024 - nature.com
Neural–tumor interactions drive glioma growth as evidenced in preclinical models, but
clinical validation is limited. We present an epigenetically defined neural signature of …

Aerobic exercise alters brain function and structure in Parkinson's disease: a randomized controlled trial

ME Johansson, IGM Cameron… - Annals of …, 2022 - Wiley Online Library
Objective Randomized clinical trials have shown that aerobic exercise attenuates motor
symptom progression in Parkinson's disease, but the underlying neural mechanisms are …

Evidence for embracing normative modeling

S Rutherford, P Barkema, IF Tso, C Sripada… - Elife, 2023 - elifesciences.org
In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

MN Hebart, O Contier, L Teichmann, AH Rockter… - Elife, 2023 - elifesciences.org
Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

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 …

A consensus protocol for functional connectivity analysis in the rat brain

J Grandjean, G Desrosiers-Gregoire, C Anckaerts… - Nature …, 2023 - nature.com
Task-free functional connectivity in animal models provides an experimental framework to
examine connectivity phenomena under controlled conditions and allows for comparisons …

[HTML][HTML] An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

L Parkes, B Fulcher, M Yücel, A Fornito - Neuroimage, 2018 - Elsevier
Estimates of functional connectivity derived from resting-state functional magnetic resonance
imaging (rs-fMRI) are sensitive to artefacts caused by in-scanner head motion. This …

[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 …