Normative modeling is an emerging and innovative framework for map** individual
differences at the level of a single subject or observation in relation to a reference model. It …

Neuroimaging has made it possible to measure pathological brain changes associated with
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …

Background Brain activation in response to spoken motor commands can be detected by
electroencephalography (EEG) in clinically unresponsive patients. The prevalence and …

Multivariate pattern analysis (MVPA) or brain decoding methods have become standard
practice in analyzing fMRI data. Although decoding methods have been extensively applied …

Individual people differ in their ability to reason, solve problems, think abstractly, plan and
learn. A reliable measure of this general ability, also known as intelligence, can be derived …

Abstract See Schiff (doi: 10.1093/awx209) for a scientific commentary on this article. Patients
with acute severe traumatic brain injury may recover consciousness before self-expression …

Abstract Machine learning techniques are increasingly used in neuroscience to classify
brain signals. Decoding performance is reflected by how much the classification results …

Human fMRI signals exhibit a spatial patterning that contains detailed information about a
person's mental states. Using classifiers it is possible to access this information and study …

Multivariate decoding methods were developed originally as tools to enable accurate
predictions in real-world applications. The realization that these methods can also be …

The multivariate analysis of brain signals has recently sparked a great amount of interest, yet
accessible and versatile tools to carry out decoding analyses are scarce. Here we introduce …