The role of machine learning in neuroimaging for drug discovery and development

A Spatiotemporal Profile of In Vivo Cerebral Blood Flow Changes Following Intranasal Oxytocin in Humans

(2016) Yannis Paloyelis et al.   BIOLOGICAL PSYCHIATRY

Learning to identify CNS drug action and efficacy using multistudy fMRI data

(2015) Eugene P. Duff et al.   Science Translational Medicine

Predicting Treatment Response to Cognitive Behavioral Therapy in Panic Disorder With Agoraphobia by Integrating Local Neural Information

(2015) Tim Hahn et al.   JAMA Psychiatry

The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry

(2014) Thomas R. Insel   AMERICAN JOURNAL OF PSYCHIATRY

Predicting Progression of Alzheimer’s Disease Using Ordinal Regression

(2014) Orla M. Doyle et al.   PLoS One

Role of neuroimaging in drug development

(2014) Bikash Medhi et al.   REVIEWS IN THE NEUROSCIENCES

Bridging Paradigms: Hybrid Mechanistic-Discriminative Predictive Models

(2013) O. M. Doyle et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Multivariate decoding of brain images using ordinal regression

(2013) O.M. Doyle et al.   NEUROIMAGE

On the interpretation of weight vectors of linear models in multivariate neuroimaging

(2013) Stefan Haufe et al.   NEUROIMAGE

Use of functional imaging across clinical phases in CNS drug development

(2013) D Borsook et al.   Translational Psychiatry

Methylphenidate Effects on Prefrontal Functioning During Attentional-Capture and Response Inhibition

(2012) Astrid M. Pauls et al.   BIOLOGICAL PSYCHIATRY

Predicting sample size required for classification performance

(2012) Rosa L Figueroa et al.   BMC Medical Informatics and Decision Making

Machine learning and data mining: strategies for hypothesis generation

(2012) M A Oquendo et al.   MOLECULAR PSYCHIATRY

Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?

(2012) S Kapur et al.   MOLECULAR PSYCHIATRY

Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies

(2012) Cynthia H.Y. Fu et al.   NEUROBIOLOGY OF DISEASE

Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach

(2012) Andre F. Marquand et al.   NEUROIMAGE

Test–retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers

(2012) S. De Simoni et al.   NEUROIMAGE

Next-Generation Treatments for Mental Disorders

(2012) T. R. Insel   Science Translational Medicine

A procedural framework for good imaging practice in pharmacological fMRI studies applied to drug development #2: protocol optimization and best practices

(2011) Adam J. Schwarz et al.   DRUG DISCOVERY TODAY

A procedural framework for good imaging practice in pharmacological fMRI studies applied to drug development #1: processes and requirements

(2011) Adam J. Schwarz et al.   DRUG DISCOVERY TODAY

Potentials and Challenges for Arterial Spin Labeling in Pharmacological Magnetic Resonance Imaging

(2011) D. J. J. Wang et al.   JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS

Additive effects of a cholinesterase inhibitor and a histamine inverse agonist on scopolamine deficits in humans

(2011) William Cho et al.   PSYCHOPHARMACOLOGY

The scopolamine model as a pharmacodynamic marker in early drug development

(2011) Robert A. Lenz et al.   PSYCHOPHARMACOLOGY

Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms

(2010) Yu Guo et al.   BMC BIOINFORMATICS

A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy

(2010) Ahmad Khodayari-Rostamabad et al.   CLINICAL NEUROPHYSIOLOGY

What is the value of human FMRI in CNS drug development?

(2010) Richard G. Wise et al.   DRUG DISCOVERY TODAY

Everything You Never Wanted to Know about Circular Analysis, but Were Afraid to Ask

(2010) Nikolaus Kriegeskorte et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Prognostic prediction of therapeutic response in depression using high-field MR imaging

(2010) Qiyong Gong et al.   NEUROIMAGE

Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

(2010) Rémi Cuingnet et al.   NEUROIMAGE

Network modelling methods for FMRI

(2010) Stephen M. Smith et al.   NEUROIMAGE

GPU Accelerated Support Vector Machines for Mining High-Throughput Screening Data

(2009) Quan Liao et al.   Journal of Chemical Information and Modeling

Validation of cerebral blood perfusion imaging as a modality for quantitative pharmacological MRI in rats

(2009) Andreas Bruns et al.   MAGNETIC RESONANCE IN MEDICINE

Complex brain networks: graph theoretical analysis of structural and functional systems

(2009) Ed Bullmore et al.   NATURE REVIEWS NEUROSCIENCE

Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression

(2009) Sergi G. Costafreda et al.   PLoS One

Methylphenidate Has Differential Effects on Blood Oxygenation Level-Dependent Signal Related to Cognitive Subprocesses of Reversal Learning

(2008) C. M. Dodds et al.   JOURNAL OF NEUROSCIENCE

The Role of Imaging in Proof of Concept for CNS Drug Discovery and Development

(2008) Dean F Wong et al.   NEUROPSYCHOPHARMACOLOGY

Oxytocin, Vasopressin, and the Neurogenetics of Sociality

(2008) Z. R. Donaldson et al.   SCIENCE