P. Douglas

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Towards a Neuronal Gauge Theory

Karl J. Friston, B. Sengupta, Arturo Tozzi, 2016, PLoS biology.

Epilepsy Classification , EEG Analysis , and EEG-fMRI fusion

Pamela K. Douglas, Margalit Wollner, P. Douglas, 2013 .

Effects of Chronic Sleep Restriction on the Brain Functional Network, as Revealed by Graph Theory

P. Douglas, W. Karwowski, E. Beldzik, 2019, Front. Neurosci..

Automated diagnosis of epilepsy using EEG power spectrum

Wesley T. Kerr, Ariana E. Anderson, Andrew Y. Cho, 2012, Epilepsia.

Computer-Aided Diagnosis and Localization of Lateralized Temporal Lobe Epilepsy Using Interictal FDG-PET

Wesley T. Kerr, Ariana E. Anderson, Andrew Y. Cho, 2013, Front. Neurol..

A review of low-intensity focused ultrasound pulsation

Amit P. Mulgaonkar, Mark S. Cohen, P. Douglas, 2011, Brain Stimulation.

Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis.

Thomas E. Nichols, J. M. Mateos-Pérez, Ivanei E. Bramati, 2017, The lancet. Psychiatry.

Neuroimaging of Traumatic Brain Injury

Ariana E. Anderson, P. Douglas, M. Wintermark, 2018, Medical sciences.

Chronic exposure to Mn inhalation may have lasting effects: A physiologically-based toxicokinetic model in rats

Mark S. Cohen, P. Douglas, J. DiStefano, 2010 .

Predicting Empathy From Resting State Brain Connectivity: A Multivariate Approach

Jamie D. Feusner, M. Iacoboni, P. Douglas, 2019, bioRxiv.

Preparing for pandemic influenza and its aftermath: mental health issues considered.

P. Douglas, D. Douglas, Daniel C Harrigan, 2009, International journal of emergency mental health.

Hemodynamic latency is associated with reduced intelligence across the lifespan: an fMRI DCM study of aging, cerebrovascular integrity, and cognitive ability

Karl J. Friston, Ariana E. Anderson, P. Douglas, 2020, Brain Structure and Function.

Interpreting fMRI Decoding Weights : Additional Considerations

P. Douglas, 2017 .

Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling

Karl J. Friston, Gerald K. Cooray, Pamela K. Douglas, 2015, NeuroImage.

Hemodynamic latency is associated with reduced intelligence: an fMRI DCM study of aging, cerebrovascular integrity, and cognitive ability

Karl J. Friston, Ariana E. Anderson, P. Douglas, 2020 .

Neuroprotection in late life attention-deficit/hyperactivity disorder: A review of pharmacotherapy and phenotype across the lifespan

Cintya Nirvana Dutta, H. Ombao, P. Douglas, 2022, Frontiers in Human Neuroscience.

Decoding Task-Based fMRI Data with Graph Neural Networks, Considering Individual Differences

P. Douglas, W. Karwowski, B. Sawyer, 2022, Brain sciences.

Triadic Temporal Exponential Random Graph Models (TTERGM)

P. Douglas, Yifan Huang, Clayton Barham, 2022, ArXiv.

Explainable AI: A review of applications to neuroimaging data

P. Douglas, W. Karwowski, K. Fiok, 2022, Frontiers in Neuroscience.

HHS Public Access

Thomas E. Nichols, J. M. Mateos-Pérez, Ivanei E. Bramati, 2018 .

Diurnal variations of resting-state fMRI data: A graph-based analysis

Richard F. Betzel, P. Douglas, M. D’Esposito, 2021, NeuroImage.

Leveraging Sparsity: A Low-Rank + Sparse Decomposition (LR+SD) Method for Automatic EEG Artifact Removal

P. K. Douglas, P. Douglas, T. Meyer, 2014 .

The utility of data-driven feature selection: Re: Chu et al. 2012

Mark S. Cohen, Pamela K. Douglas, Wesley T. Kerr, 2014, NeuroImage.

Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms

Ying Nian Wu, Jianwen Xie, Pamela K. Douglas, 2016, Journal of Neuroscience Methods.

Predicting Empathy From Resting State Brain Connectivity: A Multivariate Approach

Jamie D. Feusner, M. Iacoboni, P. Douglas, 2019, bioRxiv.

Insights into multimodal imaging classification of ADHD

Mark S. Cohen, Jesse A. Brown, Pamela K. Douglas, 2012, Front. Syst. Neurosci..

Cognitive computational neuroscience

Nikolaus Kriegeskorte, Pamela K. Douglas, P. Douglas, 2018, Nature Neuroscience.

Inter-hemispheric asymmetry patterns in the ADHD brain: a neuroimaging replication study

Pamela K. Douglas, Ariana E. Anderson, Cintya Nirvana Dutta, 2019, Symposium on Medical Information Processing and Analysis.

Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder

Paul M. Thompson, David B. Douglas, Ariana Anderson, 2018, NeuroImage: Clinical.

Interpreting encoding and decoding models

Nikolaus Kriegeskorte, Pamela K Douglas, P. Douglas, 2018, Current Opinion in Neurobiology.

Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating

Karl J. Friston, Gerald K. Cooray, Pamela K. Douglas, 2016, NeuroImage.

Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box

Mark S. Cohen, Pamela K. Douglas, Jennifer Bramen, 2011, MLINI.

Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI

Pamela K. Douglas, Ariana E. Anderson, P. Douglas, 2019, Explainable AI.

Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas‐based reduction and bootstrapped clustering

Alan L. Yuille, Mark S. Cohen, Agatha Lenartowicz, 2011, Int. J. Imaging Syst. Technol..

Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief

Alan L. Yuille, Mark S. Cohen, Pamela K. Douglas, 2011, NeuroImage.

Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms?

David B. Douglas, Pamela K. Douglas, P. Douglas, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation

Mark S. Cohen, Pamela K. Douglas, Maureen Pisani, 2014, Journal of visualized experiments : JoVE.

Convalescent Blood Treatment for COVID-19: Are Local Donors Enough?

P. Douglas, S. Bookheimer, F. Farahani, 2020, 2009.12773.

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD

Alan L. Yuille, Ying Nian Wu, Mark S. Cohen, 2014, NeuroImage.

Single trial decoding of belief decision making from EEG and fMRI data using independent components features

Mark S. Cohen, Edward Lau, Wei Li, 2013, Front. Hum. Neurosci..

Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy

Yaniv Gal, Pamela K. Douglas, Jeiran Choupan, 2020, Journal of Neuroscience Methods.

Spatiotemporal Feature Selection Improves Prediction Accuracy of Multi-Voxel Pattern Classification

Yaniv Gal, Mark S. Cohen, David C. Reutens, 2019, bioRxiv.

Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy

Aaron Trefler, Mark S. Cohen, Pamela K. Douglas, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Diffusion Tensor Imaging of TBI: Potentials and Challenges

Roland Bammer, Sjoerd B Vos, Max Wintermark, 2015, Topics in magnetic resonance imaging : TMRI.

Perfusion Imaging in Acute Traumatic Brain Injury.

P. Douglas, M. Wintermark, D. Douglas, 2018, Neuroimaging clinics of North America.

Visual Episodic Memory-based Exploration

P. Douglas, G. Sukthankar, J. Vice, 2023, The International FLAIRS Conference Proceedings.

Physiologically Based Toxicokinetic Modeling of Manganese in Rat and Monkey and Machine Learning Classification of Belief vs. Disbelief fMRI Signals

P. Douglas, 2010 .

Leveraging sparsity to detect HRF variability in fMRI

P. K. Douglas, P. Douglas, 2017, Symposium on Medical Information Processing and Analysis.

Towards a Neuronal Gauge Theory pdf

Karl J. Friston, Biswa Sengupta, B. Sengupta, 2016, PLoS biology.

Structural Brain Asymmetries in Youths with Combined and Inattentive Presentations of Attention Deficit Hyperactivity Disorder

Cintya Nirvana Dutta, H. Ombao, P. Douglas, 2020, 2010.13458.

Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms

Ariana E. Anderson, Y. Wu, P. Douglas, 2016, Journal of Neuroscience Methods.

Cognitive computational neuroscience

P. Douglas, N. Kriegeskorte, 2018, Nature Neuroscience.

ID 202 – Characterising seizures in anti-NMDA-receptor encephalitis with Dynamic Causal Modelling

Karl J. Friston, B. Sengupta, G. Cooray, 2016, Clinical Neurophysiology.

Computer-Aided Diagnosis and Localization of Lateralized Temporal Lobe Epilepsy Using Interictal FDG-PET

Wesley T. Kerr, Ariana E. Anderson, Andrew Y. Cho, 2013, Front. Neurol..

Preventing antisocial robots: A pathway to artificial empathy

António Sérgio Damásio, M. Iacoboni, P. Douglas, 2023, Science Robotics.

Single trial decoding of belief decision making from EEG and fMRI data using independent components features

Wesley T. Kerr, Ariana E. Anderson, Mark S. Cohen, 2013, Front. Hum. Neurosci..

Pamela K. Douglas, Farzad Vasheghani Farahani, P. Douglas, 2020, ArXiv.