Neuroimaging       

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 photoPablo Polosecki photo Jenna M Reinen photoIrina Rish photo

Neuroimaging Publications



2018

Learning Oscillatory Brain Dynamics: van der Pol Meets LSTM
Abrevaya, German and Aravkin, Alexandr and Cecchi, Guillermo and Polosecki, Pablo and Rish, Irina
Computational Neuroscience - CNS 2018 (accepted)
Abstract

Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease
E. Castro, P. Polosecki, I. Rish, D. Pustina, JH Warner, A. Wood, C. Sampaio, GA Cecchi
NeuroImage - Clinical, 2018
Abstract

Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease
Castro, Eduardo and Polosecki, Pablo and Rish, Irina and Pustina, Dorian and Warner, John H and Wood, Andrew and Sampaio, Cristina and Cecchi, Guillermo A
NeuroImage: Clinical, Elsevier, 2018
Abstract

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
German Abrevaya, Aleksandr Aravkin, Guillermo Cecchi, Irina Rish, Pablo Polosecki, Peng Zheng, Silvina Dawson
arXiv:1805.09874 [stat.ML], 2018
Abstract

Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease
E. Castro, P. Polosecki, I. Rish, D. Pustina, JH Warner, A. Wood, C. Sampaio, GA Cecchi
NeuroImage - Clinical, 2018
Abstract


2017

Learning Discriminative Functional Network Features of Schizophrenia
Mina Gheiratmand, Irina Rish, Guillermo Cecchi, Matthew Brown, Russell Greiner, Pouya Bashivan, Pablo Polosecki, Serdar Dursun
SPIE Medical Imaging, 2017
Abstract

Holographic brain: Distributed versus local activation patterns in fMRI
I. Rish and G.A. Cecchi
IBM Journal of Research and Development 61(2/3), IEEE, 2017
Abstract

Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
Mina Gheiratmand, Irina Rish, Guillermo A Cecchi, Matthew RG Brown, Russell Greiner, Pablo I Polosecki, Pouya Bashivan, Andrew J Greenshaw, Rajamannar Ramasubbu, Serdar M Dursun
npj Schizophrenia 3(1), 22, Nature Publishing Group, 2017

Holographic brain: Distributed versus local activation patterns in fMRI
I. Rish and G. A. Cecchi
IBM Journal of Research and Development 61(2/3), IEEE, 2017
Abstract

Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease
P. Polosecki, E. Castro, A. Wood, J. H. Warner, I. Rish and G. A. Cecchi
IBM Journal of Research and Development 61(2/3), IEEE, 2017
Abstract

Learning Discriminative Functional Network Features of Schizophrenia
Gheiratmand, Mina and Rish, Irina and Cecchi, Guillermo and Brown, Matthew and Greiner, Russell and Bashivan, Pouya and Polosecki, Pablo and Dursun, Serdar
SPIE Medical Imaging, pp. 101371A--101371A, 2017
Abstract

Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease
P. Polosecki, E. Castro, A. Wood, J. H. Warner, I. Rish and G. A. Cecchi
IBM Journal of Research and Development 61(2/3), IEEE , 2017
Abstract

Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pablo I. Polosecki, Pouya Bashivan, Andrew J. Greenshaw, Rajamannar Ramasubbu & Serdar M. Dursun
npj Schizophrenia 3(22), 2017
Abstract

Learning to read the imprints of consciousness on global brain dynamics: an application to intra-operative monitoring of anesthesia
Alonso, Leandro M and Solovey, Guillermo and Yanagawa, Toru and Proekt, Alex and Cecchi, Guillermo and Magnasco, Marcelo O
bioRxiv, 225813, Cold Spring Harbor Laboratory, 2017
Abstract

Brain and psychological determinants of placebo pill response in chronic pain patients
Vachon-Presseau, Etienne and Berger, Sara E and Abdullah, Taha B and Huang, Lejian and Cecchi, Guillermo and Griffith, James W and Schnitzer, Thomas J and Apkarian, Apkar Vania
bioRxiv, 234575, Cold Spring Harbor Laboratory, 2017
Abstract

Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks
Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, Russell Greiner
NIPS 2017 workshop on Machine Learning for Health (ML4H), arXiv preprint arXiv:1712.00512
Abstract


2016

Reorganization of brain connectivity in obesity
P. Geha, G.A. Cecchi, T. Constable, C. Abdallah, D. Small
Human Brain Mapping (early view), 2016
Abstract

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella
ICLR 2016 : International Conference on Learning Representations 2016
Abstract

Evaluating Effects of Methylphenidate on Brain Activity in Cocaine Addiction: A Machine-Learning Approach
Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein
SPIE Medical Imaging, 2016
Abstract


2015

Turing a la Freud: Test for an Automated Psychiatrist
G.A. Cecchi and I. Rish
Beyond the Turing Test - AAAI 2015 Workshop
Abstract

Mental State Recognition via Wearable EEG
Pouya Bashivan, Irina Rish, Steve Heisig
NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI2015)
Abstract   


2014

Reliability Estimation and Enhancement via Spatial Smoothing in Sparse fMRI Modeling
Carroll, Melissa K., Guillermo A. Cecchi, Irina Rish, Rahul Garg, Marwan Baliki, and A. Vania Apkarian
Practical Applications of Sparse Modeling, pp. 123-150, MIT Press, 2014
Abstract


2013

Schizophrenia as a network disease: disruption of emergent brain function in patients with auditory hallucinations
I. Rish, G. Cecchi, B. Thyreau, B. Thirion, M. Plaze, M. L. Paillere-Martinot, C. Martelli, J. L. Martinot, J. B. Poline
PLoS ONE 8(1), e50625, 2013

Functional MRI Analysis with Sparse Models
I. Rish
Invited paper at NECTAR track of the European Conference on Machine Learning (ECML-2013)
Abstract

Faces in motion: selectivity of macaque and human face processing areas for dynamic stimuli
Polosecki, Pablo and Moeller, Sebastian and Schweers, Nicole and Romanski, Lizabeth M and Tsao, Doris Y and Freiwald, Winrich A
The Journal of Neuroscience 33(29), 11768--11773, Soc Neuroscience, 2013


2012

Variable Selection for Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo Cecchi
AISTATS, 2012
Abstract

Schizophrenia classification using functional network features
Irina Rish, Guillermo A Cecchi, Kyle Heuton
SPIE Medical Imaging, pp. 83170W--83170W, 2012
Abstract

Predictive dynamics of human pain perception
G. A. Cecchi, L. Huang, J. A. Hashmi, M. Baliki, M. V. Centeno, I. Rish, A. V. Apkarian
PLoS Comput. Biol. 8(10), e1002719, 2012

Sparse regression analysis of task-relevant information distribution in the brain
Irina Rish, Guillermo A Cecchi, Kyle Heuton, Marwan N Baliki, A Vania Apkarian
SPIE Medical Imaging, 2012
Abstract


2011

Adult neurogenesis as efficient sparsification
I. Rish, G. Cecchi, A. Lozano, R. Rao
Neuroscience 2011 (SfN meeting), November 12-16
Abstract

Parsing a perceptual decision into a sequence of moments of thought
Graziano, Mart{'i}n and Polosecki, Pablo and Shalom, Diego Edgar and Sigman, Mariano
Frontiers in integrative neuroscience5, 45, Frontiers, 2011


2010

Learning sparse Gaussian Markov networks using a greedy coordinate ascent approach
Katya Scheinberg, Irina Rish
European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp. 196--212, Springer, 2010
Abstract

Sparse regression models of pain perception
Irina Rish, Guillermo A Cecchi, Marwan N Baliki, A Vania Apkarian
Brain Informatics, pp. 212--223, Springer, 2010
Abstract

Sparse Markov Net Learning with Priors on Regularization Parameters
Katya Scheinberg, Irina Rish, Narges Bani Asadi
in Proceedings of The Eleventh International Symposium on Artificial Intelligence and Mathematics (ISAIM 2010), pp. 112--122
Abstract


2009

Prediction and interpretation of distributed neural activity with sparse models
Melissa K Carroll, Guillermo A Cecchi, Irina Rish, Rahul Garg, A Ravishankar Rao
NeuroImage 44(1), 112--122, Elsevier, 2009


2007

Synthesis of carbon nanotubes by CVD: Effect of acetylene pressure on nanotubes characteristics
Escobar, Mariano and Moreno, M Sergio and Candal, Roberto J and Marchi, M Claudia and Caso, Alvaro and Polosecki, Pablo I and Rubiolo, Gerardo H and Goyanes, Silvia
Applied Surface Science 254(1), 251--256, Elsevier, 2007