Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Pablo Polosecki"'
Autor:
Jenna M. Reinen, Pablo Polosecki, Eduardo Castro, Cheryl M. Corcoran, Guillermo A. Cecchi, Tiziano Colibazzi
Publikováno v:
Schizophrenia, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract The prospective study of youths at clinical high risk (CHR) for psychosis, including neuroimaging, can identify neural signatures predictive of psychosis outcomes using algorithms that integrate complex information. Here, to identify risk an
Externí odkaz:
https://doaj.org/article/d95e77c82a74428fb10d4dafd35053c4
Autor:
Matias Aiskovich, Eduardo Castro, Jenna M. Reinen, Shreyas Fadnavis, Anushree Mehta, Hongyang Li, Amit Dhurandhar, Guillermo A. Cecchi, Pablo Polosecki
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
Data collection, curation, and cleaning constitute a crucial phase in Machine Learning (ML) projects. In biomedical ML, it is often desirable to leverage multiple datasets to increase sample size and diversity, but this poses unique challenges, which
Externí odkaz:
https://doaj.org/article/7c654a19c0fc43728e928fff94bba491
Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease
Autor:
Eduardo Castro, Pablo Polosecki, Irina Rish, Dorian Pustina, John H. Warner, Andrew Wood, Cristina Sampaio, Guillermo A. Cecchi
Publikováno v:
NeuroImage: Clinical, Vol 19, Iss , Pp 443-453 (2018)
In Huntington's disease (HD), accurate estimates of expected future motor impairments are key for clinical trials. Individual prognosis is only partially explained by genetics. However, studies so far have focused on predicting the time to clinical d
Externí odkaz:
https://doaj.org/article/909389c205d04a9b9f58108aa89c616f
Autor:
Eduardo Castro, Pablo Polosecki, Dorian Pustina, Andrew Wood, Cristina Sampaio, Guillermo A. Cecchi
Publikováno v:
Movement Disorders. 37:2407-2416
Atrophy in the striatum is a hallmark of Huntington's disease (HD), including the period before clinical motor diagnosis (before-CMD), but it extends to other subcortical structures. The study of the covariation of these structures could improve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df197abb05a7669294abe169cf33308a
https://doi.org/10.1002/mds.29219
https://doi.org/10.1002/mds.29219
Autor:
Guillaume Dumas, James R. Kozloski, Guillaume Lajoie, Silvina Ponce Dawson, Aleksandr Y. Aravkin, David D. Cox, Peng Zheng, Pablo Polosecki, German Abrevaya, Jean-Christophe Gagnon-Audet, Irina Rish, Guillermo A. Cecchi
Publikováno v:
Neural Computation. 33:2087-2127
Many natural systems, especially biological ones, exhibit complex multivariate nonlinear dynamical behaviors that can be hard to capture by linear autoregressive models. On the other hand, generic nonlinear models such as deep recurrent neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::761649267f230273771c82a3dc907da4
https://doi.org/10.1162/neco_a_01401
https://doi.org/10.1162/neco_a_01401
Autor:
Guillermo A. Cecchi, Ivan deAraujo, Paul Geha, Donna A. Thomas, Dana M. Small, Daniel S. Barron, Meena M. Makary, Peter G. Whang, Todd Constable, Pablo Polosecki, Hani Mowafi
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proc Natl Acad Sci U S A
Proc Natl Acad Sci U S A
Significance The prevalence of chronic pain has reached epidemic levels. In addition to personal suffering, chronic pain is associated with psychiatric and medical comorbidities, notably substance misuse. Chronic pain does not have a cure or quantita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d93bfbd32071ea3fb70f9ebccf94ec
https://hdl.handle.net/21.11116/0000-000D-5268-2
https://hdl.handle.net/21.11116/0000-000D-5268-2
Autor:
Pablo Polosecki, Irina Rish, Cristina Sampaio, Eduardo Castro, John H. Warner, Andrew Wood, Guillermo A. Cecchi, Dorian Pustina
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Patient stratification is critical for the sensitivity of clinical trials at early stages of neurodegenerative disorders. In Huntington’s disease (HD), genetic tests make cognitive, motor and brain imaging measurements possible before symptom manif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0202762d00e234e3efab3e768125de2
https://doi.org/10.1038/s41598-020-58074-8
https://doi.org/10.1038/s41598-020-58074-8
Autor:
William Hord, Irina Rish, Guillermo A. Cecchi, Jolie McDonnell, Pablo Polosecki, Jenna Reinen
Publikováno v:
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
Recent progress in artificial intelligence provides researchers with a powerful set of machine learning tools for analyzing brain imaging data. In this work, we explore a variety of classification algorithms and functional network features derived fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c39a98f9cbd3678c45e00b1a26cdf06
https://doi.org/10.1117/12.2525341
https://doi.org/10.1117/12.2525341
Autor:
Aleksandr Y. Aravkin, Peng Zheng, German Abrevaya, Irina Rish, Silvina Ponce Dawson, Guillermo A. Cecchi, Pablo Polosecki
Many real-world data sets, especially in biology, are produced by highly multivariate and nonlinear complex dynamical systems. In this paper, we focus on brain imaging data, including both calcium imaging and functional MRI data. Standard vector-auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f44d4ff4072c6724c79cc7b53ecc49b8
https://doi.org/10.1101/330548
https://doi.org/10.1101/330548
Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease
Autor:
Dorian Pustina, Eduardo Castro, Andrew Wood, John H. Warner, Guillermo A. Cecchi, Pablo Polosecki, Irina Rish, Cristina Sampaio
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 19, Iss, Pp 443-453 (2018)
NeuroImage: Clinical, Vol 19, Iss, Pp 443-453 (2018)
In Huntington's disease (HD), accurate estimates of expected future motor impairments are key for clinical trials. Individual prognosis is only partially explained by genetics. However, studies so far have focused on predicting the time to clinical d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c16e86ab995ce47cc9569ee4051efc5f
https://pubmed.ncbi.nlm.nih.gov/29984153
https://pubmed.ncbi.nlm.nih.gov/29984153