[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 …

[HTML][HTML] Methods for cleaning the BOLD fMRI signal

C Caballero-Gaudes, RC Reynolds - Neuroimage, 2017 - Elsevier
Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …

Medial temporal lobe connectivity and its associations with cognition in early Alzheimer's disease

D Berron, D van Westen, R Ossenkoppele… - Brain, 2020 - academic.oup.com
Human episodic memory critically depends on subregions of the medial temporal lobe,
which are part of functional brain systems such as the anterior-temporal and the posterior …

Function in the human connectome: task-fMRI and individual differences in behavior

DM Barch, GC Burgess, MP Harms, SE Petersen… - Neuroimage, 2013 - Elsevier
The primary goal of the Human Connectome Project (HCP) is to delineate the typical
patterns of structural and functional connectivity in the healthy adult human brain. However …

[HTML][HTML] Physiological feelings

EF Pace-Schott, MC Amole, T Aue, M Balconi… - Neuroscience & …, 2019 - Elsevier
The role of peripheral physiology in the experience of emotion has been debated since the
19th century following the seminal proposal by William James that somatic responses to …

All roads lead to the default-mode network—global source of DMN abnormalities in major depressive disorder

A Scalabrini, B Vai, S Poletti, S Damiani… - …, 2020 - nature.com
Major depressive disorder (MDD) is a psychiatric disorder characterized by abnormal resting
state functional connectivity (rsFC) in various neural networks and especially in default …

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

TD Satterthwaite, MA Elliott, RT Gerraty, K Ruparel… - Neuroimage, 2013 - Elsevier
Several recent reports in large, independent samples have demonstrated the influence of
motion artifact on resting-state functional connectivity MRI (rsfc-MRI). Standard rsfc-MRI …

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

JD Power, KA Barnes, AZ Snyder, BL Schlaggar… - Neuroimage, 2012 - Elsevier
Here, we demonstrate that subject motion produces substantial changes in the timecourses
of resting state functional connectivity MRI (rs-fcMRI) data despite compensatory spatial …

[HTML][HTML] Confound modelling in UK Biobank brain imaging

F Alfaro-Almagro, P McCarthy, S Afyouni… - NeuroImage, 2021 - Elsevier
Dealing with confounds is an essential step in large cohort studies to address problems
such as unexplained variance and spurious correlations. UK Biobank is a powerful resource …

Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high‐motion data points

JS Siegel, JD Power, JW Dubis, AC Vogel… - Human brain …, 2014 - Wiley Online Library
Subject motion degrades the quality of task functional magnetic resonance imaging (fMRI)
data. Here, we test two classes of methods to counteract the effects of motion in task fMRI …