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?

A H Kemp; P J Hopkinson; Daniel F Hermens; D L Rowe; A L Sumich; C R Clark; W Drinkenburg; N Abdi; R Penrose; A McFarlane; P Boyce; E Gordon; L M Williams

doi:10.1002/hbm.20528

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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?

Journal article

Peer reviewed

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?

A H Kemp, P J Hopkinson, Daniel F Hermens, D L Rowe, A L Sumich, C R Clark, W Drinkenburg, N Abdi, R Penrose, A McFarlane, …

Human Brain Mapping, Vol.30(2), pp.602-614

2009

DOI: https://doi.org/10.1002/hbm.20528

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Abstract

depression

depressed mood

attention

auditory oddball paradigm

event-related potentials

ERPs

low resolution brain electromagnetic tomography

LORETA

Attentional impairment in depression is a cardinal feature of depression and has been proposed as a candidate endophenotype for major depressive disorder. Event-related potentials (ERPs) elicited by oddball signal detection tasks provide objective markers of selective stimulus processing, and are pertinent endophenotypic markers for depression. While previous studies have sought to determine objective markers for attentional impairment in depression, evidence is inconsistent and may involve heterogeneity in relatively small samples. Here, we brought together oddball ERP recording with source localization of neural correlates of selective attention in outpatients with major depressive disorder (MDD; n = 78) and participants with depressed mood (PDM; n = 127) relative to healthy controls (CTL; n = 116). The key finding was a dimensional exaggeration of the P200 (140-270 ms) to both target (signal) and non-target (noise) stimuli, most pronounced in MDD, followed by PDM, relative to CTL. This exaggeration was coupled with slower and more variable response times, suggesting that neural systems are attempting to compensate for a difficulty in discriminating signal from noise. P200 alterations were localised to limbic (hippocampal), temporal and ventral prefrontal regions, key components of the signal detection network. A subsequent reduction and delay in the P300 was also revealed for MDD indicating that the pronounced lack of discrimination in clinical depression may also lead to impaired stimulus evaluation. This P200 increase in depression could provide a potential mechanism for the attentional impairment frequently observed in depression and consequent alterations in the P300 may differentiate clinically significant depression. © 2008 Wiley-Liss, Inc.

Details

Title: 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: A H Kemp (Author) - University of Sydney
P J Hopkinson (Author) - University of Sydney
Daniel F Hermens (Author) - University of Sydney
D L Rowe (Author) - Westmead Millennium Institute
A L Sumich (Author) - Centre for Neuroimaging Sciences, United Kingdom
C R Clark (Author) - Flinders University
W Drinkenburg (Author) - Johnson & Johnson Pharmaceutical Research and Development
N Abdi (Author) - Brain Resource Company
R Penrose (Author) - Flinders University
A McFarlane (Author) - University of Adelaide
P Boyce (Author) - University of Sydney
E Gordon (Author) - Brain Resource Company
L M Williams (Author) - University of Sydney
Publication details: Human Brain Mapping, Vol.30(2), pp.602-614
Publisher: John Wiley & Sons Inc.
Date published: 2009
DOI: 10.1002/hbm.20528
ISSN: 1065-9471
Organisation Unit: University of the Sunshine Coast, Queensland; Thompson Institute
Language: English
Record Identifier: 99451297902621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Neuroimaging; Neurosciences; Radiology, Nuclear Medicine & Medical Imaging

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