Resting state functional connectivity based on principal component transformation of cortical fMRI measurements

Scalp EEG brain functional connectivity networks in pediatric epilepsy

“…Assessment of functional connectivity network (FCN) in patients suffering with various neurological disorders (e.g. Epilepsy in our study) through modalities such as EEG recording has elicited new findings in ways of underlying distinctions that delineate epileptic from control populations [4,10,21,32,36,43,44,46].…”

A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks

“…Applications include tasks that require assessing responses of the brain under the influence of different drug therapies [ 3 ], and tasks that rely on determining the 3D source localization of epileptic seizures which exploits techniques in the time/frequency domains for analysis of individual EEG electrode recordings [ 4 , 5 ]. Assessment of brain functional connectivity network in patients suffering with various neurological disorders through modalities such as EEG recording, Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) has elicited new findings in ways of underlying distinctions that delineate epileptic from control populations [ 6 - 14 ]. The high temporal resolution of EEG renders it as an indispensable tool in the primary diagnosis of epilepsy and in visualization of characteristic temporal events like interictal spikes which are closely associated with epileptic foci [ 7 , 15 ].…”

“…Whereas Directed FCNs, sometimes referred to as effective connectivity [ 26 ], assesses the influence of one cerebral region upon another and therefore gives direction to the calculated associations. Current trends in adopting FCNs for understanding the complex brain are placed toward developing data driven methodologies for constructing FCNs which benefits from a robust parcellation of functional data of the brain and an objective formulation of the hypothesized association among functional parcels [ 6 , 26 ]. The crucial role of time delay in the dynamics of large scale networks [ 27 ] such as brain networks is well motivated, due to the large scale property of brain connectivity networks including discrete sub-networks [ 28 ], but yet not fully understood and incorporated in constructing the brain networks and decision making processes [ 29 ].…”

Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks

“…have elicited new findings that allow for the delineation of epileptic patients from a control population Lowe, Mock et al 1998;Cabrerizo, Ayala et al 2012;Eddin, Wang et al 2013;Sargolzaei, Cabrerizo et al 2013;Sargolzaei, Eddin et al 2013;Ahammad, Fathima et al 2014;Sargolzaei, Goryawala et al 2014;Xie and Krishnan 2014). The high temporal resolution of EEG renders it as an indispensable tool in the primary diagnosis of epilepsy and in the visualization of temporal events like interictal spikes which are closely associated with epileptic foci (Cabrerizo, Ayala et al 2012;Kim, Faloutsos et al 2013).…”

“…Current trends in adopting FCNs for understanding the complex brain are placed toward developing data driven methodologies for constructing FCNs which benefits from a robust parcellation of functional data of the brain and an objective formulation of the hypothesized association among functional parcels (Lang, Tomé et al 2012;Sargolzaei, Eddin et al 2013). The crucial role of time delay in the dynamics of large scale networks (Sargolzaei, Yen et al 2013) such as brain networks is well motivated, due to the large scale property of brain connectivity networks including discrete sub-networks (Jirsa 2004), but yet not fully understood and incorporated in constructing the brain networks and decision making processes (Ghosh, Rho et al 2008).…”