Literature DB >> 14678460

Abnormalities of P300 cortical current density in unmedicated depressed patients revealed by LORETA analysis of event-related potentials.

Toshihiko Kawasaki1, Shin Tanaka, Jijun Wang, Hiroto Hokama, Kenichi Hiramatsu.   

Abstract

The purpose of the present study was to investigate the neural substrates underlying event-related potential (ERP) abnormalities, with respect to the generators of the ERP components in depressed patients. Using an oddball paradigm, ERP from auditory stimuli were recorded from 22 unmedicated patients with current depressive episodes and compared with those from 22 age- and gender-matched normal controls. Cortical current densities of the N100 and P300 components were analyzed using low-resolution electromagnetic tomography (LORETA). Group differences in cortical current density were mapped on a 3-D cortex model. The results revealed that N100 cortical current densities did not differ between the two groups, while P300 cortical current densities were significantly lower in depressed patients over the bilateral temporal lobes, the left frontal region, and the right temporal-parietal area. Furthermore, the cortical area in which the group difference in P300 current density had been identified was remarkably larger over the right than the left hemisphere, thus supporting the hypothesis of right hemisphere dysfunction in depression.

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Year:  2004        PMID: 14678460     DOI: 10.1111/j.1440-1819.2004.01195.x

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  6 in total

1.  Auditory P3 in antidepressant pharmacotherapy treatment responders, non-responders and controls.

Authors:  Natalia Jaworska; Elisea De Somma; Claude Blondeau; Pierre Tessier; Sandhaya Norris; Wendy Fusee; Dylan Smith; Pierre Blier; Verner Knott
Journal:  Eur Neuropsychopharmacol       Date:  2013-05-09       Impact factor: 4.600

2.  Sources of cortical rhythms in adults during physiological aging: a multicentric EEG study.

Authors:  Claudio Babiloni; Giuliano Binetti; Andrea Cassarino; Gloria Dal Forno; Claudio Del Percio; Florinda Ferreri; Raffaele Ferri; Giovanni Frisoni; Silvana Galderisi; Koichi Hirata; Bartolo Lanuzza; Carlo Miniussi; Armida Mucci; Flavio Nobili; Guido Rodriguez; Gian Luca Romani; Paolo M Rossini
Journal:  Hum Brain Mapp       Date:  2006-02       Impact factor: 5.038

3.  Reduced brain responses to novel sounds in depression: P3 findings in a novelty oddball task.

Authors:  Gerard E Bruder; Christopher J Kroppmann; Jürgen Kayser; Jonathan W Stewart; Patrick J McGrath; Craig E Tenke
Journal:  Psychiatry Res       Date:  2009-11-08       Impact factor: 3.222

4.  Fronto-temporal alterations within the first 200 ms during an attentional task distinguish major depression, non-clinical participants with depressed mood and healthy controls: a potential biomarker?

Authors:  Andrew H Kemp; Patrick J Hopkinson; Daniel F Hermens; Donald L Rowe; Alexander L Sumich; C Richard Clark; Wilhelmus Drinkenburg; Nadia Abdi; Rebecca Penrose; Alexander McFarlane; Philip Boyce; Evian Gordon; Leanne M Williams
Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

5.  A review of electroencephalographic changes in diabetes mellitus in relation to major depressive disorder.

Authors:  Anusha Baskaran; Roumen Milev; Roger S McIntyre
Journal:  Neuropsychiatr Dis Treat       Date:  2013-01-17       Impact factor: 2.570

6.  Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features.

Authors:  Miseon Shim; Min Jin Jin; Chang-Hwan Im; Seung-Hwan Lee
Journal:  Neuroimage Clin       Date:  2019-09-05       Impact factor: 4.881

  6 in total

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