evoked by rare targets than frequent non-targets (Breton et al., 1988).
Larger N2 amplitude was observed when task-relevant features didn't
match and reflected the mismatch effect (Wang et al., 2004). The
non-targets which shared features with targets elicited larger N2,
which was located in medial frontal cortex (Azizian et al., 2006).
These investigations provided the evidence that N2 indexed the atten-
tional manipulation in the processes of cognitive control (Folstein and
Van Petten, 2008). In mood disorder, altered N2 activity was also dem-
onstrated and was related to cognitive deficits (Debener et al., 2000;
Levin et al., 2007; Liotti and Mayberg, 2001; Vuilleumier and Pourtois,
2007). Decreased N2 over the right posterior in response to facial stim-
uli showed face processing anomaly in depression (Deldin et al., 2000).
N2b enhancement was involved in the selective attentional deficit in
patients with major depression (Levin et al., 2007). Therefore, the al-
tered N2 amplitudes in depression met the assumption that abnormal
neural activity within the N2 time-windows might contribute to the di-
minished capacity of attentional modulation in depression. With this
consideration, our interest was confined to the process during the N2
time-window. The altered directed cortical connectivity in depression
was assessed within N2 time-windows in particular.
Various quantitative electroencephalography (qEEG) methods
have been proposed to study the cortical interaction (Pereda et al.,
2005). Compared with traditional coherence analysis and mutual
synchronicity, partial directed coherence (PDC) analysis evaluated
causality in terms of directional influence between multi-channel
electrophysiological time series (Ding et al., 2000; Sun et al., 2008;
Supp et al., 2005). PDC approach was based on a multivariate autore-
gressive (MVAR) model (Baccalá and Sameshima, 2001; Ding et al.,
2000) and was a genuine multi-channel method (Pereda et al.,
2005). It could help to reveal where the information flow is derived
from, transmitted to, or feedback among separated cortical regions
(Supp et al., 2005, 2007). More attention has been paid for this meth-
od in recent years, due to its success in revealing the multi-channel
directed cortical interactions (Pereda et al., 2005; Sun et al., 2008;
Supp et al., 2005; Supp et al., 2007; Zhang et al., 2009). Further, a
short-window PDC approach was offered to meet temporal require-
ment (Ding et al., 2000). Since the measured ERP trials to attain the
N2 component were reasonably assumed as different realizations of
the same process, the final covariance matrix for the MVAR model
of the observed signal could be obtained by averaging across all the
realizations, even though the duration of each realization was short
(Ding et al., 2000; Supp et al., 2005; Zhang et al., 2009). In this
paper, we evaluated the cortical directed connectivity within the
specified N2 time-window, so as to estimate the temporo-spatial pat-
terns of the cortical directed connectivity with high temporal resolu-
tion in depression.
In this study, a visual search task for emotional facial expressions
was performed by both the depressed subjects and the normal con-
trol ones. The visual search paradigm was effective to demonstrate
the visual search strategy for emotionally biased expressions in
multi-face stimuli (Ohman et al., 2001a,b; Pegna et al., 2008; Suslow
et al., 2004; Tang et al., 2009; Williams et al., 2008). Attention modu-
lation played an important role in enhancing the visual information
relevant to the target and inhibiting the irrelevant one when per-
forming a visual search task (Lorenzo-Lopez et al., 2008). We applied
the paradigm to explore the diminished capacity in attentional mod-
ulation in depression. With short-window PDC analysis, we measured
the changes of the cortical directed connectivity within the cortical
network in depressed patients as compared to normal controls. We
hypothesized that: (1) The ERPs component N2 would demonstrate
whether the capacity of attention modulation was impaired in
depression; (2) The PDC values would demonstrate the patterns of
altered cortical directed connectivity which might contribute to the
impairments of attentional modulation in depression. A well-
recognized model of visual attention consisted of a bottom-up com-
ponent for image-based saliency processing across the posterior
visual cortex and a top-down component for task-dependent modu-
lation mainly at prefrontal and frontal cortex (Itti and Koch, 2001).
In the normal subjects, the forward bottom-up pathway transferred
the visual perceptual saliency from the occipital cortex to the frontal
cortex for high-level processing. Then the feedback top-down path-
way transferred the high-level cognitive control from anterior or cen-
tral cortex to the sensory cortex. We assumed that the balance
between these two components was disrupted in depression, the de-
creased feedback regulation in conjunction with increased forward
input, contributed to the dysfunction of attention modulation in de-
pression (Fig. 1).
To further explore whether the alteration in directed connectivity
within the network in depression was due to the some node which
ceased to fire independently or to a collective phenomenon, twice
PDC analysis were performed basing on two different MVAR model-
ing. The first modeling was established using all nodes within the net-
work while the second modeling was based on nodes excluding the
node where N2 activity has significant changes in depression. This
step should help to understand the pathophysiological dysfunction
of attention modulation in depression.
2. Materials and methods
2.1. Subjects
A total of 25 subjects participated in this study: (1) the normal
control group included thirteen right-handed normal subjects
(male/female=7/6, 39.54±9.65 years) with no personal history of
neurological or psychiatric illness, no drug or alcohol abuse, no cur-
rent medication, and normal or corrected-to-normal vision; (2) the
depressed group: twelve right-handed depressed outpatients (male/
female=8/4, 31.67±13.55 years) were recruited in Shanghai Mental
Health Center (SMHC). All depressed subjects had no history of manic
episode, and fulfilled ICD-10 (the tenth revision of International Clas-
sification of Diseases) diagnosis criteria of major depressive disorder
(current episode of depression). Nine patients were first-episode
and three patients were recurrent. Nine patients were unmedicated
and hadn't taken medicine for at least one month. Three depressed
patients had taken antidepressants for less than 2 weeks. Two pa-
tients had taken paroxetine with a dosage of 20 mg/day, and another
patient had taken fluoxetine with a dosage of 20 mg/day. All subjects
including healthy controls had no history of any substance or alcohol
abuse. Each subject has normal or corrected-to-normal vision. In-
formed consent was obtained from each participant before the exper-
iments. The experimental protocol was approved by the SMHC Ethics
Committee in compliance with the Helsinki Declaration.
After taking part in the experimental testing session, all subjects
participated in an interview in which HAMD (Hamilton Rating Scale
for Depression) was administered. SAS (Self-rating Anxiety Scale)
and SDS (Self-rating Depression Scale) were self-rated. The scores of
the normal group were in the normal range showing no mood disor-
der (see Table 1).
2.2. Materials and procedure
The face-in-the-crowd task was constructed according to the ex-
periments of Thomas Suslow et al. (White, 1995; Suslow et al.,
2004). Schematic faces were used. Stimuli consisted of three types
of pictures (Fig. 2): 16 pictures with four neutral faces, namely “con-
dition without target” hereafter; 8 pictures were with one positive
face among three neutral faces, namely “condition with positive tar-
get” hereafter; and another 8 pictures were with one negative face
among three neutral faces, namely “condition with negative target”
hereafter. The faces randomly located at the eight cardinal compass
points of an imaginary circle. Therefore, there were 16 + 8 + 8 = 32
independent stimuli in total in one block. The block repeated five
1892 Y. Tang et al. / Progress in Neuro-Psychopharmacology & Biological Psychiatry 35 (2011) 1891–1900