NDLI: Properties of functional brain networks correlate with frequency of psychogenic non-epileptic seizures

Content Provider	PubMed Central
Author	Elham, Barzegaran Joudaki, Amir Jalili, Mahdi Rossetti, Andrea O. Frackowiak, Richard S. Knyazeva, Maria G.
Copyright Year	2012
Abstract	Abnormalities in the topology of brain networks may be an important feature and etiological factor for psychogenic non-epileptic seizures (PNES). To explore this possibility, we applied a graph theoretical approach to functional networks based on resting state EEGs from 13 PNES patients and 13 age- and gender-matched controls. The networks were extracted from Laplacian-transformed time-series by a cross-correlation method. PNES patients showed close to normal local and global connectivity and small-world structure, estimated with clustering coefficient, modularity, global efficiency, and small-worldness (SW) metrics, respectively. Yet the number of PNES attacks per month correlated with a weakness of local connectedness and a skewed balance between local and global connectedness quantified with SW, all in EEG alpha band. In beta band, patients demonstrated above-normal resiliency, measured with assortativity coefficient, which also correlated with the frequency of PNES attacks. This interictal EEG phenotype may help improve differentiation between PNES and epilepsy. The results also suggest that local connectivity could be a target for therapeutic interventions in PNES. Selective modulation (strengthening) of local connectivity might improve the skewed balance between local and global connectivity and so prevent PNES events.
Related Links	http://dx.doi.org/10.3389/fnhum.2012.00335
Starting Page	335
File Format	PDF
ISSN	16625161
e-ISSN	16625161
Journal	Frontiers in Human Neuroscience
Volume Number	6
Language	English
Publisher	Frontiers Media S.A.
Publisher Date	2012-12-20
Access Restriction	Open
Rights Holder	Frontiers Media S.A.
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Neurology Biological Psychiatry Behavioral Neuroscience Neuropsychology and Physiological Psychology Psychiatry and Mental Health

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