Pattern Classification of Working Memory Networks Reveals Differential Effects of Methylphenidate, Atomoxetine and Placebo in Healthy Volunteers

Methylphenidate and Atomoxetine Enhance Prefrontal Function Through α2-Adrenergic and Dopamine D1 Receptors

(2011) Nao J. Gamo et al.   JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY

Reward acts as a signal to control delay-period activity in delayed-response tasks

(2010) Satoe Ichihara-Takeda et al.   NEUROREPORT

Embedding reward signals into perception and cognition

(2010) Luiz Pessoa   Frontiers in Neuroscience

An fMRI Study of the Effects of Psychostimulants on Default-Mode Processing During Stroop Task Performance in Youths With ADHD

(2009) Bradley S. Peterson et al.   AMERICAN JOURNAL OF PSYCHIATRY

Dopamine vs Noradrenaline: Inverted-U Effects and ADHD Theories

(2009) Florence Levy   AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY

A lack of default network suppression is linked to increased distractibility in ADHD

(2009) Catherine Fassbender et al.   BRAIN RESEARCH

L-Dopa Modulates Functional Connectivity in Striatal Cognitive and Motor Networks: A Double-Blind Placebo-Controlled Study

(2009) C. Kelly et al.   JOURNAL OF NEUROSCIENCE

Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes

(2009) Andre Marquand et al.   NEUROIMAGE

Atomoxetine and Osmotically Released Methylphenidate for the Treatment of Attention Deficit Hyperactivity Disorder: Acute Comparison and Differential Response

(2008) Jeffrey H. Newcorn et al.   AMERICAN JOURNAL OF PSYCHIATRY

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns

(2008) Federico De Martino et al.   NEUROIMAGE

Prediction of human errors by maladaptive changes in event-related brain networks

(2008) T. Eichele et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

"Who" Is Saying "What"? Brain-Based Decoding of Human Voice and Speech

(2008) E. Formisano et al.   SCIENCE

Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No “Face” Identification Area

(2007) Stephen José Hanson et al.   NEURAL COMPUTATION