Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a develo** synergy between emerging analysis techniques and …

The intuitive association between self-focused rumination in major depressive disorder
(MDD) and the self-referential operations performed by the brain's default-mode network …

Data analysis workflows in many scientific domains have become increasingly complex and
flexible. Here we assess the effect of this flexibility on the results of functional magnetic …

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

The most widely used task functional magnetic resonance imaging (fMRI) analyses use
parametric statistical methods that depend on a variety of assumptions. In this work, we use …

The processing of rewards and losses are crucial to everyday functioning. Considerable
interest has been attached to investigating the anticipation and outcome phases of reward …

A Dark Pattern (DP) is an interface maliciously crafted to deceive users into performing
actions they did not mean to do. In this work, we analyze Dark Patterns in 240 popular …

The electrification of passenger road transport and household heating features prominently
in current and planned policy frameworks to achieve greenhouse gas emissions reduction …

When asked to perform the same task, different individuals exhibit markedly different
patterns of brain activity. This variability is often attributed to volatile factors, such as task …

Numerous experiments have recently sought to identify neural signals associated with the
subjective value (SV) of choice alternatives. Theoretically, SV assessment is an intermediate …