Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hossein Shahabi"'
Publikováno v:
eLife, Vol 12 (2023)
Seizure generation, propagation, and termination occur through spatiotemporal brain networks. In this paper, we demonstrate the significance of large-scale brain interactions in high-frequency (80–200Hz) for the identification of the epileptogenic
Externí odkaz:
https://doaj.org/article/73d87eb79a104f0ab1b0beb5523fe516
Autor:
Hossein Shahabi, Diego A. Pizzagalli, Lars Benschop, Marie-Anne Vanderhasselt, Richard M. Leahy, Chris Baeken, Tasha Poppa, Takfarinas Medani
Publikováno v:
Journal of Affective Disorders. 281:493-501
Introduction Prior resting state fMRI studies have revealed that elevated connectivity between the default mode network (DMN) and subgenual prefrontal cortex (sgPFC) connectivity may underly maladaptive rumination, which is a major risk factor for de
Autor:
Maryam Koupaei, Mohamad Hosein Mohamadi, Ilya Yashmi, Amir Hossein Shahabi, Amir Hosein Shabani, Mohsen Heidary, Saeed Khoshnood
Publikováno v:
Journal of Clinical Laboratory Analysis. 36
Interest revolving around coronavirus disease 2019 (COVID-19) reinfection is escalating rapidly. By definition, reinfection denotes severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), PCR redetection, and COVID-19 recurrence within three mo
Autor:
Juan Bulacio, Katsuya Kobayashi, William Bingaman, Dileep Nair, Kenneth N. Taylor, Shreekanth Koneru, John C. Mosher, Tugba Hirfanoglu, Richard M. Leahy, Hossein Shahabi, Anand A. Joshi, Masako Kobayashi
Publikováno v:
EpilepsiaREFERENCES. 62(11)
Objective To determine whether brain connectivity differs between focal cortical dysplasia (FCD) types I and II. Methods We compared cortico-cortical evoked potentials (CCEPs) as measures of effective brain connectivity in 25 FCD patients with drug-r
Autor:
Sahar Moghimi, Hossein Shahabi
Publikováno v:
Computers in Human Behavior. 58:231-239
The purpose of this study was to investigate the effective brain networks associated with joyful, melancholic, and neutral music. Connectivity patterns among EEG electrodes in different frequency bands were extracted by multivariate autoregressive mo
Publikováno v:
BMEI
Phase synchrony among cortical brain regions is a key aspect of the working memory process. In this study we utilized phase synchrony analysis of EEG signals to construct brain networks and investigate the rest and working memory states of the brain.
Publikováno v:
BMEI
We present a novel method to remove eye blink artifacts from the electroencephalogram (EEG) signals, without using electro-oculogram (EOG) reference electrodes. We first model EEG activity by an autoregressive model and eye blink by an output-error m
Autor:
Reza Kiani Mavi, Hossein Shahabi
Publikováno v:
International Journal of Logistics Systems and Management. 22:15