Real-time fMRI neurofeedback: progress and challenges

J Sulzer, S Haller, F Scharnowski, N Weiskopf… - Neuroimage, 2013 - Elsevier
In February of 2012, the first international conference on real time functional magnetic
resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of …

[HTML][HTML] The PhysIO toolbox for modeling physiological noise in fMRI data

L Kasper, S Bollmann, AO Diaconescu, C Hutton… - Journal of neuroscience …, 2017 - Elsevier
Background Physiological noise is one of the major confounds for fMRI. A common class of
correction methods model noise from peripheral measures, such as ECGs or pneumatic …

[HTML][HTML] Hierarchical prediction errors in midbrain and basal forebrain during sensory learning

S Iglesias, C Mathys, KH Brodersen, L Kasper… - Neuron, 2013 - cell.com
In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role
for predicting sensory inputs and inferring their underlying causes, eg, the probabilistic …

A causal account of the brain network computations underlying strategic social behavior

CA Hill, S Suzuki, R Polania, M Moisa… - Nature …, 2017 - nature.com
During competitive interactions, humans have to estimate the impact of their own actions on
their opponent's strategy. Here we provide evidence that neural computations in the right …

[HTML][HTML] Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during …

TU Hauser, R Iannaccone, S Walitza, D Brandeis… - NeuroImage, 2015 - Elsevier
Adolescence is associated with quickly changing environmental demands which require
excellent adaptive skills and high cognitive flexibility. Feedback-guided adaptive learning …

Rewarding feedback promotes motor skill consolidation via striatal activity

M Widmer, N Ziegler, J Held, A Luft, K Lutz - Progress in brain research, 2016 - Elsevier
Abstract Knowledge of performance can activate the striatum, a key region of the reward
system and highly relevant for motivated behavior. Using functional magnetic resonance …

Separate mesocortical and mesolimbic pathways encode effort and reward learning signals

TU Hauser, E Eldar, RJ Dolan - Proceedings of the …, 2017 - National Acad Sciences
Optimal decision making mandates organisms learn the relevant features of choice options.
Likewise, knowing how much effort we should expend can assume paramount importance …

Role of the medial prefrontal cortex in impaired decision making in juvenile attention-deficit/hyperactivity disorder

TU Hauser, R Iannaccone, J Ball, C Mathys… - JAMA …, 2014 - jamanetwork.com
Importance Attention-deficit/hyperactivity disorder (ADHD) has been associated with
deficient decision making and learning. Models of ADHD have suggested that these deficits …

[HTML][HTML] Automatic versus choice-dependent value representations in the human brain

M Grueschow, R Polania, TA Hare, CC Ruff - Neuron, 2015 - cell.com
The subjective values of choice options can impact on behavior in two fundamentally
different types of situations: first, when people explicitly base their actions on such values …

Neurofeedback-mediated self-regulation of the dopaminergic midbrain

J Sulzer, R Sitaram, ML Blefari, S Kollias, N Birbaumer… - Neuroimage, 2013 - Elsevier
The dopaminergic system is involved in reward encoding and reinforcement learning.
Dopaminergic neurons from this system in the substantia nigra/ventral tegmental area …