2008
DOI: 10.1016/j.clinph.2007.12.013
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Intracranial current density (LORETA) differences in QEEG frequency bands between depressed and non-depressed alcoholic patients

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Cited by 25 publications
(14 citation statements)
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“…In the current study, greater sgACC theta 2 activity was found in the MDD group; a similar trend was noted in BA25, part of the rostral ACC ( p =.11). Though this runs counter to some findings (Mientus et al, 2002; Coutin-Churchman & Moreno, 2008), our results are consistent with the idea that the ACC, particularly the rostral ACC, is implicated in emotive processing and cognitive control, and that elevated rostral ACC theta in MDD may reflect compensatory activity in fronto-cingulate networks in the disorder (Pizzagalli et al, 2011). In support of this, elevated baseline sgACC theta (Narushima et al, 2010) and rostral ACC theta has been shown to predict a positive antidepressant response (Pizzagalli et al, 2001; Mulert et al, 2007; Korb et al, 2011).…”
Section: Discussionsupporting
confidence: 70%
See 1 more Smart Citation
“…In the current study, greater sgACC theta 2 activity was found in the MDD group; a similar trend was noted in BA25, part of the rostral ACC ( p =.11). Though this runs counter to some findings (Mientus et al, 2002; Coutin-Churchman & Moreno, 2008), our results are consistent with the idea that the ACC, particularly the rostral ACC, is implicated in emotive processing and cognitive control, and that elevated rostral ACC theta in MDD may reflect compensatory activity in fronto-cingulate networks in the disorder (Pizzagalli et al, 2011). In support of this, elevated baseline sgACC theta (Narushima et al, 2010) and rostral ACC theta has been shown to predict a positive antidepressant response (Pizzagalli et al, 2001; Mulert et al, 2007; Korb et al, 2011).…”
Section: Discussionsupporting
confidence: 70%
“…However, decreased frontal theta activity in MDD has been noted using source localization techniques [magnetoencephalography, low-resolution brain electromagnetic tomography (LORETA); Wienbruch et al, 2003; Coutin-Churchman & Moreno, 2008; Saletu et al, 2010]. Methodological differences may underlie these discrepancies, whereby frontal scalp theta amplitude/power likely stems from several neural generators, while source localization/neuroimaging approaches enable activity assessment in specific regions.…”
Section: Introductionmentioning
confidence: 99%
“…Important state-of-the-art analysis tools based on mathematical approaches include: (1) phase synchrony in oscillations (Varela et al, 2001); and (2) methods of source localization (e.g., sLORETA (low-resolution brain electromagnetic tomography) which solves the “inverse problem” to generate anatomically constrained solutions of active sources within the brain that underlie the event-related scalp activity (Pascual-Marqui, 2002). The ERP and ERO analyses are supplemented by source localization techniques to infer anatomical substrates and have been successfully used to study several psychiatric disorders including AUDs (Coutin-Churchman and Moreno, 2008; Holmes and Pizzagalli, 2008; Kamarajan et al, 2010; Itoh et al, 2011; Pandey et al, 2012). Hence, these tools are instrumental in translating and comparing findings from electrophysiological studies with those from imaging methodologies, or using them in conjunction with each other, to create a multimodal approach.…”
Section: Event-related Oscillationsmentioning
confidence: 99%
“…Electrophysiological techniques have further advantages of being non-invasive, relatively inexpensive to implement, and can be used to study a large variety of cognitive processes/brain functions; recently developed electrophysiological analytical techniques and methods allow for a better study of neural communication across different brain regions in normal [31-33] as well as pathological conditions [34-38], and provide subtle measures of neurocognitive (dys) function. More recent studies increasingly use localization techniques such as standardized low resolution brain electromagnetic tomography (sLORETA) to characterize specific activity patterns and communication across brain regions three-dimensionally and these methods have been implemented in many psychiatric disorders including alcoholism [9-11,39,40]. …”
Section: Introductionmentioning
confidence: 99%