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SIMILARITIES IN THE PATTERN OF REGIONAL BRAIN DYSFUNCTION IN NEGATIVE SCHIZOPHRENLA AND UNIPOLAR DEPRESSION: A SINGLE PROTON EMISSION-COMPUTED TOMOGRAPHY AND AUDITORY EVOKED POTENTIALS SSTUDY VESNA MEDVED’, RATKO PETROVIC’, VELIMIR ISGUM3, LAJOS SZIROVICZA4 and LJUBOMIR HOTUJAC’
‘Psychiatric Clinic, *Nuclear Medicine Clinic and 3Neurological Clinic, University Clinical Hospital Centre Rebro, 41nstitute for Anthropological Research, Zagreb, CROATIA
(Final form, April 2001)
Abstract
Vesna Medved, Ratko PetroviC, Velimir ISgum, Lajos Szirovicza and Ljubomir Hotujac: Similarities in the Pattern of Regional Brain Dysfunction in Negative Schizophrenia and Unipolar Depression: A Single Photon Emission-Computed Tomography and Auditory Evoked Potentials Study. Prog. NeuroPsychophurmacol. & Biol. Psychiut. 2001,2& pp.
993-1009.82001
Elsevier Scimce
Inc.
1. Negative schizophrenic and unipolar depressive patients were clinically assessed. In addition to this SANS and HRSD tests were administered. 2. SPECT and AEP measurements were provided. SPECT resulted in quantified brain blood perfusion, by means of average “count/pixel” values in the brain regions of interest, AEPs resulted in stored multichannel signal waveforms. 3. Statistical analyses of blood perfusion measurement data revealed an overall similarity between these two disorders in the majority of brain regions. An exception to this are the regions: inferior temporalis, inferior occipitalis, hippocampus and the anterior basal ganglia. Both diagnostic groups manifested hypofrontality. In general, hypoperfusion of the left hemisphere was found, albeit displaying different patterns in the two groups investigated. 4. AEP latencies were prolonged and found to be similar in both diagnostic groups, whilst AEP amplitudes were smaller in schizophrenics compared to depressives.
auditory evoked potentials (AEPs), biological psychiatry, depression, frontal brain regions, schizophrenia, single photon emission-computed tomography (SPECT) Kevwords:
Abbreviations: auditory evoked potentials (AEP), computer tomography (CT), Hamilton rating scale for depression (HRSD), orbitomeatal line (OM), positron emission tomography (PET), regional cerebral 993
V. Medved et al.
994
blood flow (rCBF), region of interest (ROB, single photon emission-computed scale for the assessment of negative symptoms (SANS).
tomography
(SPECT),
Introduction
The clinical depression
overlap
between
is an established
following
common
1987), nivelation
symptoms
fact. Reports
symptoms:
of negative indicate
schizophrenia
the existence
loss of energy and willpower,
of affect (Boeringa and Castellani
and symptoms
of unipolar
of a partial similarity
anchedonia,
associality
1982), loss of motivation,
between
(Whiteford
the et al.
physical anergy, loss of
recreational interests, diminished
sexual interest, inability to develop intimate relations, as well as to keep
previously
with friends
developed
relations
and peers (Kitamura
question of a possible similarity of patterns in the brain dysfunction
and Suga,
of these two psychiatric
Regional deficit of functional (neural) activity has already been investigated cerebral blood flow using 99mTc-HMPA0
1991). This raises the
single photon emission-computed
disorders.
by measuring the regional tomography
- (SPECT) and
auditory evoked potentials (AEP) - P300, which reflect the metabolic and electrophysiolgical living human brain, SPECT and PET methods resulted
in a number
hypometabolism association Molina
et all.
considered increase depressive
findings.
(Chua and McKemra
between
hypofrontality
of different
negative
1997)
(Vasile
In schizophrenics,
1995, Andreasen
symptoms
whereas
applied to schizophrenic
brain
the general trend accentuates
has been reported
studies
of affective
et al. 1996, Ogura et al. 1998, Galynker
robust for schizophrenia in P300 latency
(Coburn
et al. 1998). Papers
metabolic
schizophrenia
and unipolar
and electrophysiological
psychiatric disorders above.
(Ebmeier
disorders
et al. 1993, postulate
et al. 1998). Furthermore,
findings
reporting
a decrease
in P300 amplitude
(Diner et al. 1985) that the P300 amplitude is influenced,
in not
latency is also usually found
et al. 1998).
In this study we examine the relationship with negative
frontal
rarely
only by cognitive, but also by emotional factors. Apart from this, prolonged (Vandoolaeghe
have
include a decrease in P300 amplitude (Salisbury et al. 1998) and an
disorders lead to the conclusion
in depressives
patients
et al. 1997, Spence et al. 1998) and a strong
and hypofrontality
functional
and depressive
status of the
between regional cerebral blood flow and P300 in patients depression.
dysfunctions,
The aim was to research
and their possible
similarities,
the topography
of
in view of the two
SPECT and AEPs in negative schizophrenia
and unipolar depression
995
Methods
Patient Ponulation
Subjects
for the study were recruited
Zagreb, Croatia. All subjects
at the Psychiatric
met the DSM-III-R
1987). Psychopathological
during a semi-structured
interview using SANS (Andreasen
psychopathology
level was 12 years for schizophrenics
Depressives
were
anxiolytics.
undergoing
treatment
Patients had not previously
patients were righthanded.
According
that might induce EEG-changes, dependencies
and 10 for depressives.
received
The mean duration of
The subjects
All schizophrenic
(mean chlorpromazine consisting
(mean age 32.1,
(mean age 47.8, ranging from 33 to 55). The
and 8 years for depressives.
of typical antipsychotics
(American
1983) and Hamilton rating scales (Hamilton
and were not regarded as being in remission.
treatment consisting
or depression
20 female patients diagnosed with negative schizophrenia
illness was 7 years for schizophrenics
Centre Rebro,
data were obtained by the first co-author of this paper
ranging from 24 to 40), and 13 with unipolar depression mean educational
Hospital
criteria for schizophrenia
Psychiatric Association,
1960). The study encompassed
Clinic, University
manifested
current
subjects were receiving
- equivalent dose = 959.37 mg/day).
of tricyclic
atypical neuroleptic
or tetracyclic
antidepressives
or electroconvulsive
and
therapy. All
to the set criteria, those over 55 years of age, those taking drugs
and those with a history
of neurological
illnesses,
alcoholism
were excluded from the study. All subjects featured an average IQ and readily consented
or in
writing to participate once the aims and procedures of this study had been explained to them.
Study Design
The study was carried out during a period subsequent the patient’s
state had stabilized.
Each participant
to one to two weeks of stay in the hospital, once was subjected
to the two assessment
mentioned
above. The findings for five (AEPs) and four (SPECTs) for different
depressive
patients
were excluded
from the study due to technical
problems.
and two
Rating scales and AEP
recordings were made for each patient on the same day; SPECT was administered
Assessment
schizophrenic,
methods
a day later.
Instruments
The SPECT procedure
was carried out in a darkened sound-proof
room. Image acquisition
min after an i.v. radiotracer injection of 15 mCi (550 Mbq) of Tc99m-HMPA0.
Measurements
began 15 were made
V. Medved et al.
996
using the double-headed
rotating scintillation
gamma camera Siemens ZLC 37, and lasted for 20 minutes.
Brain slices, 4.6 mm apart, parallel to the orbitomeatal 120 projections
processing.
was done in
(60 from each camera head) at 3 distances. Data obtained were stored in an ADAC 33000
computer which provided visualization Quantification
line (OM), were recorded. Recording
was performed
of perfusion records and numerical processing
in the following
of digitized data.
manner, and included four slices chosen for numerical
The first slice was 2.5 cm above the OM line, with ROB for the inferior temporalis
the hippocampus
(IT) and
(HI). The second slice was 5 cm above the OM line with ROIs for the gyms frontalis
superior (SF3), the gyms frontalis inferior (IF), the superior temporalis
(ST), the inferior occipitalis
(IO),
the anterior basal ganglia (BG) and the thalamus (TH). The third slice was 7.5 cm above the OM line with ROIs for the gyms frontalis superior (SF2), the gyms frontalis medialis (C2), the inferior parietalis (IP) and the superior occipitalis OM line with ROIs for the gyms frontalis
superior
(MF), the central region
(SO). The fourth slice was 9 cm above the
(SFI),
the central region (Cl)
and the superior
parietalis (SP) (32 regions in all). During the process of image quantification,
the number of pixels in each ROI was counted,
“count/pixel” for a particular region were chosen as raw measurement fact, average determine possible.
values of perfusion
measures
the dosage of radioactivity “Count/pixel”
as raw measurement
of raw measurement
between
(amounting
measurement
comparisons
ROIs). Since it was not possible on an absolute
data were suitable for some quantitative symmetry. In some other quantitative
data applied is as follows.
divided by the average value for the corresponding in this manner
variables. (These quantities are, in
entering brain cells, measurement
instance, when evaluating brain hemispheric normalization
for corresponding
to approximately
hemisphere,
scale was not
comparisons,
regions were
to draw inter-subject
comparisons
in this way also made it possible
to draw
for each patient.
placed at: FPZ, FPl, FP2, F7, F3, FZ, F4, F8,
T3, C3, CZ, C4, T4, T5, P3, PZ, P4, T6, 01, OZ and 02 locations, according to the International system (Brain Atlas 2.30 System by Bio-Logic
lo/20
Systems Corp.). AEPs were obtained using an oddball
task. Stimuli consisted of a 1-kHz tone-burst (frequent, nontarget stimulus) and a 2-kHz tone-burst target stimulus). Stimuli were presented
for
analyses, the mode for
The values for particular
between particular regions in the sense frontal-occipital
Scalp EEGs were recorded using Ag-AgCl electrodes
to
at a certain slice level. Values normalized
1) made it possible
results. Further, values normalized
so that
(rare,
binaurally in random order at 70 dB. The stimulus plateau was
90 ms, with rise and fall times of 10 ms. Patients were instructed to count the number of rare tones and to report their count for each trial. Analysis time was 512 ms. AEPs were averaged separately for rare and frequent stimuli. Multichannel memory for further processing.
AEP curves thus obtained,
expressed
in pV, were stored in computer
SPECT and AEPs in negative schizophrenia
and unipolar depression
997
Data Analysis
Due to the complex and multivariable several signal processing
methods,
nature of the interrelationships
and a battery of parametric
methods were applied in their comprehensive analysis
followed
measurement
only after testing
variable,
(distribution
so that
analysis (Medved
the character
one
among
and non-parametric
testing
distribution
(normal
of the corresponding
distribution)
or
non-parametric
level criterion.
Global scores of rating scales applied were compared
using the Student-t
test, provided
global scores had been previously tested for normality using the Smimov-Kolmogorov To provide quantitative between the two diagnostic provided
for each identified
variables,
as explained corresponding
insight into the possible
cerebral
previously regions
region. Normalised
(Assessment
between
homogeneity
of variance has been established
hemispheres
was determined
in the arithmetic
the measured
means
of two
previously.
section - by direct comparison comparison
t-test
for differences
in paired
samples
Comparisons
were done separately for subsample
procedure
independent
samples, in perfusion
values (“count/pixel”) of perfusion
was
were used as in rCBF
test was used to determine
The differentiation
of mean perfusion
significance
values for regions
values of rCBF
In order to evaluate differences
groups, a Student-t
based on raw measurement
brain regions. In the statistical
perfusion
Instruments).
in two diagnostic
of differences
Instruments
differences
the same
test.
groups, a univariant analysis of variance with discriminating
significance
Assessment
statistical
deviating from normal) methods were able to be used. In all analyses, 0.05 has been used as
the significance
between
variables,
1995). The choice of a certain method of
of probability
parametric
between measurement
provided
that
between brain
- as explained
values of corresponding
values of particular
the
left-right
in the
left-right regions the
was used, with an 0.05 level of significance.
shizophrenia
(SCH) (N=l5) and subsample
depression
(DEP) (N=ll).
Multichannel waveform.
AEP signals in each individual recording were processed by calculating the mean square
This in turn served as the basis for finding the latency value for each particular record, which
was done in an interval ranging from 250 to 512 ms (Regan 1987) using the software algorithm. at each particular electrode position, called grand-average
waveforms).
average waveforms
Further,
for SCH and DEP groups were calculated (so-
V. Medved et al.
998
Results
The average total score on SANS for the group of schizophrenic
patients was 87.43, and 54.54 for the
group of depressive patients. The average total score on the Hamilton scale for the group of schizophrenic patients was 27.93, and 26.81 for depressives. form normality.
The difference
It was determined
that there were no significant
in the total score on SANS between
statistically (p < O.OOl), whereas the difference
deviations
groups was highly significant
in the Hamilton score was not (p > 0.05). This confirms
that SANS generally allows for good discriminability
for the two diseases concerned,
unlike the Hamilton
scale.
SPECT Results
Table 1 shows the overall results of determined
significances
of differences
in rCBF measured values
between the two diagnostic groups and includes the values of particular arithmetic means. This shows that 8 out of 32 brain regions differ significantly, displayed a significant difference -
whilst the remaining 24 do not. Regions that
in perfusion between the SCH and DEP groups are:
the IT and IO regions, which displayed a significantly
lower perfusion
in SCH in relation to DEP
bilaterally, -
the HI region, which displayed a significantly
-
the right BG region which displayed
higher perfusion in SCH in relation to DEP bilaterally,
a significantly
higher perfusion
in SCH in relation to DEP,
whilst at the left side the difference being in the same sense, albeit not significant -
the right ST region which displayed a significantly Distributions
of normalised
(p=O.O6),
lower perfusion in SCH in relation to DEP.
rCBF values in particular brain regions for each diagnostic
category are
graphically presented in Fig. 1 (taken as an example), which serves to illustrate data in Table 1. In Table 1, the SF2 and SF3 values for both left and right show that hypofrontality
is present in both
disorders. Table 2 shows the results of differentiation groups, respectively.
hemisphere.
in SCH and DEP
Arithmetic mean values are included.
A significant asymmetry are regularly
in perfusion between brain hemispheres
appeared in a large number of regions. The perfusion values for the left side
lower than those for the right side. This indicates
a global hypoperfusion
of the left
SPECT and AEPs in negative schizophrenia and unipolar depression
Table 1
Differentiation
in Cerebral Blood Perfusion in Particular Regions Between Schizophrenia Depression (DEP) Groups
Right Hemisphere Region Gyrus frontalis superior (SFl) Gyrus frontalis superior (SF2) Gyrus frontalis superior (SF3) Gyrus frontalis medialis (MF) Gyrus frontalis inferior (IF) Central region (C 1) Central region (C2) Superior parietalis (SP) Inferior parietalis (IP) Superior temporalis (ST) Inferior temporalis (IT) Superior occipitalis (SO) Inferior occipitalis (IO) Anterior basal ganglia (BG) Thalamus (TH) Hippocampus (HI) a p denotes the degree of significance
(SCH) and
Left Hemisphere
SCH
DEP
pa
SCH
DEP
pa
0.9956 0.9818 1.0471 1.0037 1.0078 1.0276 1.0205 0.9768 0.9889 1.0078 0.9976 1.0051 0.9523 1.0488 0.9362 1.0024
0.9604 0.9656 0.9814 1.0058 1.0125 1.0840 1.0147 0.9556 0.9798 1.0615 1.0593 1.0341 1.0520 0.9619 0.9307 0.9407
0.338 0.711 0.111 0.948 0.873 0.056 0.826 0.458 0.798 0.024b 0.014b 0.349 0.001 b 0.015b 0.925 0.014b
1.0225 1.0115 1.0547 1.0074 0.9846
0.9779 1.0197 0.9895 0.9887 1.0499 1.0402 0.9984 0.9819 0.9571 1.0467 1.0448 1.0361 1.0698 0.9143 0.9298 0.9552
0.274 0.865 0.085 0.510 0.135 0.755 0.915 0.375 0.567 0.054 0.018b 0.830 0.009b 0.006b 0.743 0.018b
< < < > >
of differences;
1.0299 0.9958 0.9476 0.9386 0.9855 0.9780 1.0467 0.9625 1.0638 0.9488 1.0220
< <
>
b denotes that p < 0.05
AEP Results
AEP measurement
results encompassed
particular individual recordings group, respectively, In both groups depressives
a total of 16 SCH and 11 DEP patients.
are presented
together with corresponding the dispersion
in Table 3 for the SCH group and in Table 4 for the DEP group mean values and ranges.
of P300 latency
are longer, the between-group
Latency values for
difference
values
is considerably
is statistically
increase in latency with age further supports this conclusion.
insignificant
high. While
latencies
in
(~~0.05). The biological
1000
V. Medved et al.
Table 2
Hemispheric
(left-right) Differentiation of Cerebral Perfusion for each Region in the Schizophrenia (N=lS) and Depression (N=l 1) Groups
Schizophrenic
Depression
Region
Right
Left
Gyrus frontalis superior (SFl) Gyrus frontalis superior (SF2) Gyrus frontalis superior (SF3) Gyrus frontalis medialis (MF) Gyrus frontalis inferior (IF) Central region (Cl) Central region (C2) Superior parietalis (SP) Inferior parietalis (IP) Superior temporalis (ST) Inferior temporalis (IT) Superior occipitalis (SO) Inferior occipitalis (IO) Anterior basal ganglia (BG) Thalamus (TH) Hippocampus (HI)
458.8 480.2 525.1 489.8 505.1 478.8 495.1 448.5 477.7 504.0 487.9 482.0 480.2 528.2 471.4 484.7
467.9 467.8 511.1 465.1 480.7 479.3 460.3 434.4 430.5 476.8 475.5 468.9 467.1 519.3 461.3 490.5
a p denotes the degree of significance
When comparing difference
grand-averaged
> > > >
of differences;
waveforms
was found; in SCH the amplitudes
Figure 2 illustrates grand-average
>
pa 0.188 0.100 0.064 0.030b 0.091 0.953 O.OIOb 0.131 O.OOob 0.022b 0.170 0.025b 0.103 0.410 0.414 0.541
Right
Left
pa
418.8 447.6 457.0 466.8 471.4 469.4 470.8 413.9 454.6 494.2 499.3 479.2 490.4 447.4 432.2 441.9
397.2 449.1 446.1 438.8 473.0 420.7 442.0 397.5 424.9 471.4 480.0 458.9 483.0 411.8 415.4 437.6
0.129 0.880 0.252 0.021b 0.943 0.003b 0.05 1 0.172 0.092 0.043b 0.191 0.071 0.367 0.017b 0.323 0.663
> >
>
>
b denotes that p < 0.05
for each channel
between
the groups,
a systematic
(max. 3 uV, typically 2 uV) were smaller than in DEP.
waveform for the FPl electrode position.
Discussion
Methodolonical
Consideration
It is widely abnormalities. standard
accepted
that
schizophrenia
is associated
There are similar findings for depression
clinical
evaluation
methods,
in our research
with
functional
and
structural
however, they are less consistent. of schizophrenia
and unipolar
brain
In addition to depression
we
SPECT and AEPs in negative schizophrenia and unipolar depression
1001
applied two kinds of functional brain imaging techniques; data on cerebral blood metabolism was obtained by applying SPECT, and data on bioelectrical manifestation of brain function by applying AEP. It is clear that, due to the enormous complexity of CNS, it is not possible to draw direct parallels between these empirical data spaces. However, presuming that both biological measures manifest local properties reflected in the topography of the brain, it is acceptable for corresponding features be put into relation. In view of our results, both clinical entities manifested the following similar features: hypofrontality, a decrease in perfusion in the hypothalamic region bilaterally, hemispheric asymmetry, an increase in P300 latency and a decrease in P300 amplitude.
1.3
1.2
1.1
1.0
m XST-R &j XST-L
.9
.8 N=
15
15
15
Schizophrenic
15
11
11
11
H
XIT-R
m
XIT-L
11
Depressive
Fig. 1. Graphical representation of the range of normalized perfusion values in the regions superior and inferior temporalis for each patient group. The median, interquartal range (coloured) and total range are shown. * denotes numbers of patients with extreme values; ’ denotes outliers. XST-R/L denotes arithmetic mean of superior temporalis (right/left) and XIT-R/L denotes arithmetic mean of inferior temporalis (right/let?).
1002
V. Medved et al.
Table 3
Table 4
P300 Latency Values in all Measurement Recordings and Corresponding Arithmetic Means in the Schizophrenia Group
P300 Latency Values in all Measurement Recordings and Corresponding Arithmetic Means in the DepressionGroup
Patient No.
T300 lat (ms)
Patient No.
Patient No.
01 05 06 07 09 14 15 20 22 23 25 26 27 29 30 31
344 474 392 414 386 312 304 402 332 442 294 324 334 322 336 282
02 03 08 10 11 12 13 16 19 28 32
420 466 436 410 494 264 330 350 408 328 330
N=16, ~“355.9,
sb=55.8, Min=282, Max=474
a arithmetic mean; b standard deviation
At the same time, we found differences right ST region (lower perfusion
N=ll,
a arithmetic mean; b standard deviation
in brain perfusion in the IT and IO regions, bilaterally, and the
in SCH), and in the HI region, bilaterally,
perfusion in DEP). Further, grand average AEP-waveform A possible weakness
xa=385.1, sb=69.7, Min=264, Max=494
in the interpretation
and the right BG (lower
amplitudes were smaller in SCH than in DEP.
of our results may be due to the fact that the statistical
data
analysed was obtained for multiple brain regions in a limited number of subjects by applying multiple comparisons.
Brain Blood Perfusion
Although our findings for hypofrontality
in unipolar depressive
and negative schizophrenic
similar to those in the majority of existing reports, there are reports which postulate regions. If it is assumed that hypofrontality
in schizophrenia
is a convincing
hypothesis,
patients is
the role of other smaller regions
SPECT and AEPs in negative schizophrenia
and unipolar depression
1003
of interest inside the frontal cortex itself are postulated, and weak activation of dorsolateral prefrontal
cortex in both the resting state and the state of cognitive activation is found (Buchsbaum et al. 1990). Hypofrontality is associated with particular psychopathological phenomena, psychomotor poverty for instance, i.e. it is in correlation with the degree of pronounced negative schizophrenic symptoms (Medved and Petrovic 1993).
5
4
1
_________________________________________________________________
_________________________________________~~~,~~“_,~,,,__________________
SCH _3__________________________________________________________________ DEP
-4 z
“e J+ e,
% +> “se /Bp -+. -=Lc23 +& +? -%. $
--?$ ‘ie 46 ?$o %c
Time (ms)
Fig. 2. Grand average AEP curves for the schizophrenic (SCH) group and depressive (DEP) group, at the FPl electrode position.
There are also findings which indicate that hypofrontality is in remission among patients with schizophrenia with symptomatic improvement; this would indicate that that it is a state and not a trait factor @pence et al. 1998). Our findings for hypofrontality in schizophrenic patients are not consistent with the findings by Erkwoh et al. (1999) who found hypofrontality and hypertemporality to be part of the active
phase
of
schizophrenia.
During
remission
hypofrontality
partially
disappeared
and
hypertemporality disappeared completely. The question most often posed is whether hypofrontality results from the influence of disease over time or in consequence of medication. In an attempt to find an answer, the Scottish Schizophrenia Research Group (1998) found that patients displayed hypofrontality
1004
V. Medved et al.
compared to a control group in a first episode of schizophrenia prior to drug treatment. Reduced blood flow was observed after six months of antipsychotic drug treatment. Evidence from neuroimaging studies has linked negative symptoms to dysfunctional circuits in the prefrontal cortex, the limbic system and the basal ganglia (Andreasen et al. 1997, Goff and Evins 1998, Zakzanis and Heinrichs 1999, Sabri et al. 1997). However, there are studies which do not find hypofrontality (Widen et al. 1983, Wiesel et al. 1987, Cohen et al. 1989, Szechtman et al. 1988, DeLisi et al. 1989, Russel et al. 1997). Among subcortical structures, the basal ganglia is the one most often associated with schizophrenia, like in patients who have never been medicated (Sheppard et al. 1983, Hawton et al. 1990). There is less consistency in research results of regional cerebral blood flow in depression. Buchsbaum et al. (1984) first reported hypofrontality. Both a regional and a global decrease in brain metabolic activity in depressives are mentioned (Warren et al. 1984). Schroeder et al. (1989) found hypofrontality to be specific for the diagnostic spectrum which includes schizophrenia, schizoaffective psychosis and major depression. Unlike schizophrenia, which tends towards chronicity, a bipolar affective disorder is a state that alternates between disease and health, even in the absence of treatment. Blood flow and metabolic data demonstrate that major depression is accociated with reversible mood state-dependant neurophysiological abnormalities (Drevets 1998). Baxter et al. (1985) pose the question whether different affective states in the same patients also have different metabolic patterns as a consequence. Biver et al. (1994), however, find that two opposite processes occur in the frontal cortex in unipolar depression at the same time: an increase in metabolic activity in the lateral and medial area of the basal frontal cortex, and a reduction of metabolism in the dorsolateral prefrontal cortex. Neuropsychologic research in patients with frontal lesions, as well as animal studies, indicate that lesions of particular substructures of the frontal cortex cause a disturbance in various behavioural, cognitive and emotional functions (Mesulam 1986). A lesion of the dorsolateral prefrontal cortex creates a state termed “frontal retardation”, which includes apathy, a nivelation of affect, loss of interest and apragmatisme. Our findings for bilateral hypofrontality are consistent with the actual concept (Grasby 1999, Drevets 1998), and partially consistent with the findings by Kishimoto et al. (1998) who found hypometabolism
in the let?
anterolateral prefrontal cortex in patients with unipolar and bipolar depression. In a more elaborate study by (Galynker et al. 1998), which examined the relations between regional cerebral flow, depressive symptoms and negative symptoms in patients with major depressive disorder, decreased perfusion in the left dorsolateral prefrontal cortex was found to be related to negative symptoms, in particular. The study by Klemm et al. (1996) found left temporal and left frontal hypoperfusion in 17 patients
SPECT and AEPs in negative schizophrenia with schizophrenia
and unipolar depression
1005
and 12 patients with major depression in concordance with our model of limbic and
frontal dysfunction. In our research in the SCH group, significant asymmetry appeared in regions MF, C2, IP, SO and ST.
The first four regions all belong to the third level, which reflects a significant hypoperfusion of the left hemisphere exactly at this anatomical location. In the DEP group significant asymmetry was found in regions MF, Cl, ST and BG, where a different, more “vertically” oriented anatomical pattern of hypoperfusion of the left hemisphere can be seen. Furthermore, brain laterality in schizophrenia and depression was demonstrated in our research. In general, literature implies abnormalities in the activity of the left hemisphere in schizophrenic patients (Gur and Chin 1999), but the notion of lateralization in connection with depression is uncommon. In addition to this, our finding of hypoactivity in the hypothalamic region in schizophrenic patients has confirmed findings by Min et al. (1999) who have shown that a significant correlation exists between negative symptoms and a decreased level in perfusion in the left thalamic region.
Auditorv Evoked Potentials
From a psychological point of view, prolongation of P300 may be interpreted as a decrease of cognitive processing speed (Cobum et al. 1998). Prolonged latency may indicate the neurodegenerative nature of brain processes since it occurs in dementia, but also during normal ageing (O’Donnell et al. 1995). In our research, the AEPs provided subtle differentiation between groups; P300 latencies were prolonged in both groups examined, consistent with an increase in the P300 latency in schizophrenic and depressive patients (Weir et al. 1998, Laurent et al. 1999), while schizophrenic patients displayed smaller amplitudes as reported by Salisbury et al. (1998), and negative symptoms are related to an increase in latency (Keefe et al. 1991). However, Wagner and colleagues have found that there are no significant differences in the amplitudes of P300 averaged signals between schizophrenic and depressive subjects (Wagner et al. 1997). A reduced P300 amplitude coincides with the diagnosis of schizophrenia, however, severely afIJ.icted patients had smaller P3OOs than those moderately ill. Among moderately ill patients, P300 was related to symptom withdrawal. A sophisticated study designed by Shajahan et al. (1997) examined schizophrenic patients while performing an auditory two-tone oddball discrimination task using SPECT. Patients activated the left superior temporal gyrus during the task, as well as the right caudate. There was a negative correlation
V. Medved et al.
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between the P300 amplitude and perfusion during the activation procedure in both caudate nucleii and in the left lingual gyrus. No P300 latency correlations
were observed and there was no frontal activation
during the task. In general, reduction in frontal and thalamic rcBF may be more likely in patients with an impoverished mental status. Patterns
of cerebral
dysfunction
in schizophrenia
and depression
topographically
show
partial
similarity. It may be assumed that lesion patterns have a common topography in part, whereas they do not necessarily
share a common physiology.
depression
is an interesting
question
The nature of physiological which
remains
dysfunction
to be answered
through
in schizophrenia the development
and of
functional brain imaging studies.
Conclusion
In the two disorders the measured brain blood perfusion was found to be similar, with differences appearing only in certain brain regions. Hypoperfusion
of the left hemisphere
was found in both groups.
AEPs led to the detection of a general decrease in cognitive process speed in both disorders, increase in latency. AEP amplitudes depressives.
were found to be smaller in the schizophrenia
These findings may bear to both clinical and neuro-scientific
through an
group than among
relevance which will need to be
studied in future.
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