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dc.contributor.authorKamarajan, Chella
dc.contributor.authorPandey, Ashwini K
dc.contributor.authorChorlian, David B
dc.contributor.authorPorjesz, Bernice
dc.date.accessioned2023-01-09T18:01:11Z
dc.date.available2023-01-09T18:01:11Z
dc.date.issued2014-11-06
dc.identifier.citationKamarajan C, Pandey AK, Chorlian DB, Porjesz B. The use of current source density as electrophysiological correlates in neuropsychiatric disorders: A review of human studies. Int J Psychophysiol. 2015 Sep;97(3):310-22. doi: 10.1016/j.ijpsycho.2014.10.013. Epub 2014 Nov 6. PMID: 25448264; PMCID: PMC4422780.en_US
dc.identifier.eissn1872-7697
dc.identifier.doi10.1016/j.ijpsycho.2014.10.013
dc.identifier.pmid25448264
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8078
dc.description.abstractThe use of current source density (CSD), the Laplacian of the scalp surface voltage, to map the electrical activity of the brain is a powerful method in studies of cognitive and affective phenomena. During the last few decades, mapping of CSD has been successfully applied to characterize several neuropsychiatric conditions such as alcoholism, schizophrenia, depression, anxiety disorders, childhood/developmental disorders, and neurological conditions (i.e., epilepsy and brain lesions) using electrophysiological data from resting state and during cognitive performance. The use of CSD and Laplacian measures has proven effective in elucidating topographic and activation differences between groups: i) patients with a specific diagnosis vs. healthy controls, ii) subjects at high risk for a specific diagnosis vs. low risk or normal controls, and iii) patients with specific symptom(s) vs. patients without these symptom(s). The present review outlines and summarizes the studies that have employed CSD measures in investigating several neuropsychiatric conditions. The advantages and potential of CSD-based methods in clinical and research applications along with some of the limitations inherent in the CSD-based methods are discussed in the review, as well as future directions to expand the implementation of CSD to other potential clinical applications. As CSD methods have proved to be more advantageous than using scalp potential data to understand topographic and source activations, its clinical applications offer promising potential, not only for a better understanding of a range of psychiatric conditions, but also for a variety of focal neurological disorders, including epilepsy and other conditions involving brain lesions and surgical interventions.
dc.language.isoenen_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0167876014016389en_US
dc.rightsCopyright © 2014 Elsevier B.V. All rights reserved.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAlcohol use disordersen_US
dc.subjectBrain lesionsen_US
dc.subjectChildhood disordersen_US
dc.subjectCurrent source density (CSD)en_US
dc.subjectDepressionen_US
dc.subjectEEGen_US
dc.subjectEpilepsyen_US
dc.subjectEvent-related potentials (ERPs)en_US
dc.subjectNeural generatorsen_US
dc.subjectNeurocognitive deficitsen_US
dc.subjectNeuropsychiatric disordersen_US
dc.subjectSchizophreniaen_US
dc.subjectSurface Laplacianen_US
dc.titleThe use of current source density as electrophysiological correlates in neuropsychiatric disorders: A review of human studies.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleInternational journal of psychophysiology : official journal of the International Organization of Psychophysiologyen_US
dc.source.volume97
dc.source.issue3
dc.source.beginpage310
dc.source.endpage22
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryNetherlands
dc.description.versionAMen_US
refterms.dateFOA2023-01-09T18:01:11Z
html.description.abstractThe use of current source density (CSD), the Laplacian of the scalp surface voltage, to map the electrical activity of the brain is a powerful method in studies of cognitive and affective phenomena. During the last few decades, mapping of CSD has been successfully applied to characterize several neuropsychiatric conditions such as alcoholism, schizophrenia, depression, anxiety disorders, childhood/developmental disorders, and neurological conditions (i.e., epilepsy and brain lesions) using electrophysiological data from resting state and during cognitive performance. The use of CSD and Laplacian measures has proven effective in elucidating topographic and activation differences between groups: i) patients with a specific diagnosis vs. healthy controls, ii) subjects at high risk for a specific diagnosis vs. low risk or normal controls, and iii) patients with specific symptom(s) vs. patients without these symptom(s). The present review outlines and summarizes the studies that have employed CSD measures in investigating several neuropsychiatric conditions. The advantages and potential of CSD-based methods in clinical and research applications along with some of the limitations inherent in the CSD-based methods are discussed in the review, as well as future directions to expand the implementation of CSD to other potential clinical applications. As CSD methods have proved to be more advantageous than using scalp potential data to understand topographic and source activations, its clinical applications offer promising potential, not only for a better understanding of a range of psychiatric conditions, but also for a variety of focal neurological disorders, including epilepsy and other conditions involving brain lesions and surgical interventions.
dc.description.institutionSUNY Downstateen_US
dc.description.departmentHenri Begleiter Neurodynamics Laboratoryen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalInternational journal of psychophysiology : official journal of the International Organization of Psychophysiology


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Copyright © 2014 Elsevier B.V. All rights reserved.
Except where otherwise noted, this item's license is described as Copyright © 2014 Elsevier B.V. All rights reserved.