DocumentCode
663053
Title
Gamma power correlates with clinical response to repetitive transcranial magnetic stimulation (rTMS) for depression
Author
Pathak, Yatindra ; Salami, Oludamilola ; Baillet, Sylvain ; Zhimin Li ; Butson, C.R.
Author_Institution
Marquette Univ., Marquette, WI, USA
fYear
2013
fDate
6-8 Nov. 2013
Firstpage
751
Lastpage
754
Abstract
Major Depressive Disorder (MDD) is a significant public health issue and a leading cause of mortality. Due to the limited efficacy of current treatment options, neuromodulation therapies such as repetitive transcranial magnetic stimulation (rTMS) have been explored. However, not all patients experience improvements in depressive symptoms from rTMS, and the reasons for this are not clear. The goal of this study is to contrast functional changes in responders versus non-responders over a single course of treatment. rTMS was administered to the left dorsolateral prefrontal cortex (L-DLPFC) during 5 sessions per week for four weeks. Magnetoencephalography (MEG) recordings were acquired before, during and after treatment in order to make longitudinal assessments. Power spectral density (PSD) analysis revealed differences in γ band activity that were related to the degree of clinical response. These results suggest that cortical activity measured using MEG could act as an objective measure of anti-depressive response.
Keywords
magnetoencephalography; medical disorders; neurophysiology; patient treatment; transcranial magnetic stimulation; γ band activity; L-DLPFC; MEG; PSD analysis; antidepressive response; clinical response; cortical activity; depressive symptoms; gamma power; left dorsolateral prefrontal cortex; magnetoencephalography recordings; major depressive disorder; neuromodulation therapy; patient treatment; power spectral density; public health; rTMS; repetitive transcranial magnetic stimulation; Coils; Educational institutions; Electroencephalography; Frequency measurement; Magnetic resonance imaging; Magnetic stimulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location
San Diego, CA
ISSN
1948-3546
Type
conf
DOI
10.1109/NER.2013.6696043
Filename
6696043
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