Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Udit Patidar"'
Publikováno v:
Physics in Medicine and Biology. 52:5353-5368
Independent component analysis (ICA) has been successfully employed in the study of single-trial evoked potentials (EPs). In this paper, we present an iterative temporal ICA methodology that processes multielectrode single-trial EPs, one channel at a
Autor:
Eduardo M. Castillo, Luca Pollonini, Udit Patidar, Andrew C. Papanicolaou, George Zouridakis, Harvey S. Levin, Roozbeh Rezaie, Ning Situ
Publikováno v:
2011 1st Middle East Conference on Biomedical Engineering.
In this study, we analyzed brain connectivity profiles from mild traumatic brain injury (mTBI) patients and normal controls. We computed Granger causality measures from magnetoencepha-lographic (MEG) activity obtained at the resting state, in an atte
Autor:
Andrew C. Papanicolaou, Roozbeh Rezaie, Ning Situ, Udit Patidar, Luca Pollonini, George Zouridakis
Publikováno v:
Scopus-Elsevier
In this study, we analyze brain connectivity based on Granger causality computed from magnetoencephalographic (MEG) activity obtained at the resting state in eight autistic and eight normal subjects along with measures of network connectivity derived
Autor:
Antony D. Passaro, George Zouridakis, Nikhil S. Padhye, Udit Patidar, Andrew C. Papanicolaou, Luca Pollonini
Publikováno v:
IFMBE Proceedings ISBN: 9783642121968
In this study we analyzed broadband, whole-head MEG activity to investigate affective processing in the human brain and assess whether spectral power in nonoverlapping frequency bands correlates preferentially with specific anatomical locations and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bd3c698e05209804333c70dd99b27fa
https://doi.org/10.1007/978-3-642-12197-5_83
https://doi.org/10.1007/978-3-642-12197-5_83
Autor:
George Zouridakis, Udit Patidar
Publikováno v:
Scopus-Elsevier
Brain responses to repeated sensory stimuli are typically contaminated by extraneous activity, including background rhythms, artifacts, and interference signals. To address this issue, we have recently proposed a new iterative independent component a
FUNCTIONAL CONNECTIVITY CHANGES IN MILD TRAUMATIC BRAIN INJURY ASSESSED USING MAGNETOENCEPHALOGRAPHY
Autor:
Ning Situ, George Zouridakis, Harvey S. Levin, Andrew C. Papanicolaou, Eduardo M. Castillo, Udit Patidar, Roozbeh Rezaie
Publikováno v:
Journal of Mechanics in Medicine and Biology. 12:1240006
In this study, we analyzed brain connectivity profiles from 10 mild traumatic brain injury (mTBI) patients and 10 age- and gender-matched normal controls. We computed Granger causality measures from magnetoencephalographic (MEG) activity obtained at