Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mona Maneshi"'
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Independent component analysis (ICA) has been widely used to study functional magnetic resonance imaging (fMRI) connectivity. However, the application of ICA in multi-group designs is not straightforward. We have recently developed a new method named
Externí odkaz:
https://doaj.org/article/1ab00a67ff914e0180da0ba59c2d4ffe
Publikováno v:
PLoS ONE, Vol 7, Iss 12, p e50359 (2012)
In idiopathic generalized epilepsy (IGE), a normal electroencephalogram between generalized spike and wave (GSW) discharges is believed to reflect normal brain function. However, some studies indicate that even excluding GSW-related errors, IGE patie
Externí odkaz:
https://doaj.org/article/295835be30c84d58b6584372010f65ad
Autor:
Anand Rotte, Mona Maneshi, Anu Kansal, Abram H. Burgher, Steven M. Rosen, Todd A. Bromberg, Michael Esposito, Steven Surrett, Ashish Gulve, Jeyakumar Subbaroyan, Bradford E. Gliner, Paul Wu, W. Porter McRoberts, Peter Kosek, Ashish Udeshi
Publikováno v:
Journal of Pain Research. 13:2837-2851
Background Chronic upper extremity pain (UEP) has complex etiologies and is often disabling. It has been shown that 10 kHz SCS can provide paresthesia-free and durable pain relief in multiple pain types and improve the quality of life of patients. Ob
Autor:
Abram, Burgher, Peter, Kosek, Steven, Surrett, Steven M, Rosen, Todd, Bromberg, Ashish, Gulve, Anu, Kansal, Paul, Wu, W Porter, McRoberts, Ashish, Udeshi, Michael, Esposito, Bradford E, Gliner, Mona, Maneshi, Anand, Rotte, Jeyakumar, Subbaroyan
Publikováno v:
Journal of Pain Research
Background Chronic upper extremity pain (UEP) has complex etiologies and is often disabling. It has been shown that 10 kHz SCS can provide paresthesia-free and durable pain relief in multiple pain types and improve the quality of life of patients. Ob
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Frontiers in Neuroscience
Frontiers in Neuroscience
Independent component analysis (ICA) has been widely used to study functional magnetic resonance imaging (fMRI) connectivity. However, the application of ICA in multi-group designs is not straightforward. We have recently developed a new method named
Autor:
Jean Gotman, Christophe Grova, Taha Gholipour, François Dubeau, Mona Maneshi, Pierre Bellec, Friederike Moeller, Francesca Pittau
Publikováno v:
Epilepsia. 52:515-522
Idiopathic generalized epilepsy (IGE) is characterized by electroencephalography (EEG) recordings with generalized spike wave discharges (GSWDs) typically arising from normal background activity. Animal models of IGE show that cortico-subcortical-cor
Publikováno v:
Frontiers in Neurology, Vol 5 (2014)
Frontiers in Neurology
Frontiers in Neurology
We studied with functional magnetic resonance imaging (fMRI) differences in resting-state networks between patients with mesial temporal lobe epilepsy (MTLE) and healthy subjects. To avoid any a priori hypothesis, we use a data-driven analysis assess
Autor:
Emad Fatemizadeh, Mona Maneshi
Publikováno v:
COMPUTING AND INFORMATICS; Vol 31, No 4 (2012): Computing and Informatics; 877--899
This paper proposes a semi-fragile, robust-to-JPEG2000 compression watermarking method which is based on the Human Visual System (HVS). This method is designed to verify the content integrity of Region of Interest (ROI) in tele-radiology images. The
Publikováno v:
Neural computation. 24(11)
Independent component analysis (ICA) has been extensively used in individual and within-group data sets in real-world applications, but how can it be employed in a between-groups or conditions design? Here, we propose a new method to embed group memb
Autor:
Friederike, Moeller, Mona, Maneshi, Francesca, Pittau, Taha, Gholipour, Pierre, Bellec, Francois, Dubeau, Christophe, Grova, Jean, Gotman
Publikováno v:
Epilepsia. 52(3)
Idiopathic generalized epilepsy (IGE) is characterized by electroencephalography (EEG) recordings with generalized spike wave discharges (GSWDs) arising from normal background activity. Although GSWDs are the result of highly synchronized activity in