Skip to main content
Full access
New Research
Published Online: 1 August 2011

Progressive Gray Matter Loss and Changes in Cognitive Functioning Associated With Exposure to Herpes Simplex Virus 1 in Schizophrenia: A Longitudinal Study

Abstract

Objective:

Longitudinal changes in gray matter volume and cognitive performance were evaluated among individuals exposed to neurotropic herpes simplex virus subtype 1 (HSV1). There is a replicable association of HSV1 exposure with smaller prefrontal volumes and cognitive impairments in schizophrenia.

Method:

The authors concurrently examined the whole-brain longitudinal trajectory over 1 year of gray matter volumes and executive functioning measured with the Wisconsin Card Sorting Test among 26 first-episode antipsychotic-naive subjects with schizophrenia and 38 healthy subjects. Age, gender, socioeconomic status, and exposure to cytomegalovirus (another virus of the herpes family that was previously associated with cognitive impairments) were the covariates.

Results:

Significant gray matter loss in the posterior cingulate gyrus was noted among the HSV1-seropositive schizophrenia subjects over 1 year but not among other groups. Prefrontal gray matter volumes did not show longitudinal changes. Binomial mixed-effects models indicated that improvement over 1 year in Wisconsin Card Sorting Test categories completed and perseverative errors occurred in significantly fewer HSV1-seropositive schizophrenia subjects than in the HSV1-seronegative schizophrenia subjects or the healthy subjects regardless of serological status. Three-way interactions of diagnosis, HSV1 status, and time were significant for both categories completed and perseverative errors. An increase in perseverative errors over 1 year, but not the change in the number of categories completed, correlated with longitudinal volume loss of the posterior cingulate gyrus.

Conclusions:

These observations suggest that HSV1 exposure may be associated with longitudinal gray matter loss in the posterior cingulate gyrus and decline in executive functioning among subjects with schizophrenia.
Cognitive impairment is considered to be a core deficit of schizophrenia (1). Subjects with schizophrenia show worse functioning than matched healthy subjects in several cognitive domains, e.g., memory (2) and executive functioning (3). There is an urgent need for systematic research in this area because such deficits 1) profoundly affect the long-term outcome (4), 2) do not remit between episodes, placing an enormous burden on the families (5), 3) have little correlation with positive symptoms (6), and 4) are minimally affected by current medications (7).
Genetic and environmental factors may contribute to cognitive impairments. Among the environmental factors, emerging evidence supports the role of neurotropic viruses, e.g., herpes viruses. These agents can cause lifelong infection in the brain, with latency and reactivation cycles associated with neuronal damage or dysfunction (8, 9). Elevated prevalence of seropositivity for herpes simplex virus subtype 1 (HSV1) in schizophrenia is inconsistent (10, 11), and whether such agents confer risk for schizophrenia is uncertain. Nonetheless, there are replicable associations of HSV1 exposure with cognitive impairments (12, 13) and low prefrontal cortex volume (14, 15). In addition, low cross-sectional prefrontal gray matter has been correlated with impaired performance on the trail-making tests among HSV1-exposed schizophrenia subjects (15). These associations have medium to large effect sizes and appear to be more prominent in schizophrenia than in comparison subjects. Separately, we have noted a different pattern of association of cognitive impairments with exposure to cytomegalovirus, another virus within the herpes family (13). However, these associations do not necessarily prove etiological links. A natural history of lifelong periodic reactivations leading to longitudinal decline in cognitive functioning and related neurobiological measures could further support the role of HSV1 exposure in cognitive impairments.
In this study, our goals were to test the hypothesis that HSV1 exposure would be associated with longitudinal changes in executive functioning and longitudinal gray matter loss in regions implicated in the regulation of executive functioning. We examined executive functioning and gray matter changes over 1 year among subjects with first-episode schizophrenia who were antipsychotic naive at baseline, and we compared their changes to those in healthy subjects. We included cytomegalovirus exposure to investigate the relative specificity of the associations with HSV1 exposure.

Method

Subjects with schizophrenia and healthy subjects were recruited through an ongoing study. All participants were interviewed on the Structured Clinical Interview for DSM-IV and followed up for at least 6 months, when the data were synthesized and consensus DSM-IV diagnoses were derived by senior clinicians. The case subjects were diagnosed with either schizophrenia or schizoaffective disorder. Each was experiencing his or her first diagnosed episode and had not previously received antipsychotic medication at baseline but received standard treatment after the baseline assessments were completed. The healthy subjects were recruited from the same geographic region as the case subjects through advertisements and referrals from other studies. None of the subjects met the DSM-IV criteria for mental retardation or for substance dependence (past 6 months) or abuse (past month). Subjects with medical or neurological disorders, including head injury, encephalitis, and epilepsy, were excluded. A physical examination and full medical history were obtained at study entry for all subjects. Demographic data were obtained and included socioeconomic status based on the Hollingshead Index of Social Position. For the cognitive study, we selected subjects who were followed up at 1 year and had available serum samples. We allowed up to 30% attrition at year 1 for the tests of executive functioning. The imaging study included participants who had received structural magnetic resonance imaging (MRI) scans at both baseline and follow-up, with no attrition (schizophrenia, N=18; healthy, N=24). This cohort was a subset of a larger group that we examined only at baseline in our previous cross-sectional study (14). After the experimental procedures were fully explained, written informed consent statements were obtained from all subjects. The institutional review board of the University of Pittsburgh approved the study.

Neuroimaging Methods

Both the baseline and follow-up scans were acquired on a GE 1.5-T whole-body scanner by means of the same protocol: three-dimensional spoiled gradient-recalled, steady-state pulse sequence (124 coronal slices, 1.5-mm thickness, TE=5 msec, TR=25 msec, acquisition matrix=256×192, field of view=24 cm, flip angle=40°). None of the images in this cohort had motion artifacts.
Cross-sectional voxel-based morphometry was implemented to compare HSV1-seropositive and -seronegative subjects within each diagnostic group by using statistical parametric mapping software, SPM2 (16), to further examine our previous findings on an expanded study group (14). The regions of interest were specified a priori on the basis of our previous observations of Brodmann's areas 8, 9, and 32 using the Wake Forest University PickAtlas toolbox for SPM2 (17) with regional definitions (18). Using AlphaSim (B.D. Ward, unpublished paper, 2000), we conducted 10,000 Monte Carlo simulations using our imaging variables and region-of-interest masks to estimate a combined voxel extent threshold and alpha threshold that would provide a corrected experiment-wise error rate at p<0.05 from more than 64,500 voxels across both hemispheres. This approach is more powerful than an intensity alpha threshold only, because the combined threshold for alpha and voxel extent is less likely to be false positive according to the random field theory. The simulations indicated that a combined voxel extent threshold of 78 voxels and an uncorrected alpha threshold per voxel of p=0.005 was sufficient to keep the corrected experiment-wise rate at p<0.05. Volumes were extracted from Brodmann's areas 8, 9, and 32 by creating masks.
Longitudinal image processing poses challenges because of global morphological changes over time. We implemented deformation fields analysis on SPM2 to examine longitudinal gray matter changes (19). For longitudinal studies, this method is superior to measuring regions of interest at two time points because the method offers sensitivity to overall minimal changes and specificity to volume change in the regions of interest in the context of other brain region changes. Besides, measuring regions of interest is labor intensive and prone to error owing to differences in local anatomical features and rater drift. Deformation fields analysis reduces errors by applying uniform criteria across all subjects and by examining the entire brain simultaneously, and it is sensitive to changes in volumes up to 0.5% (20). Unique subject-specific morphology and complexity of brain structures are used to achieve accurate matching and estimation of deformation fields. Therefore, instead of measuring the regions of interest at baseline and follow-up, we used a sensitive, previously validated computational approach (19). Age at baseline and year 1, sex, and socioeconomic status were the covariates. Baseline and follow-up scans from each of four groups (HSV1 seropositive and seronegative within the schizophrenia and healthy groups) were evaluated in separate paired t test designs. All results were corrected for multiple comparisons by using the false discovery rate approach. Briefly, customized prior probability images were created, and then whole-brain templates were made by using scans from both baseline and follow-up. Customized gray matter templates were then created by normalizing each original image onto the whole-brain template, and this was followed by segmenting, averaging, and smoothing. Next, gray matter loss was estimated for each subject by transforming the follow-up scan so that it was identical to the first one. The estimation was based on individual high-dimensional warping of the follow-up image onto the baseline image. The Jacobian determinants of the resulting deformation field contained an estimate of the change in volume between the two images. The estimated baseline data multiplied by the Jacobian determinant are estimates of the follow-up volumetric data. We conducted post hoc multiple regression analyses by including age, sex, and socioeconomic status as covariates, to examine the correlation between change in scores for executive functioning and change in gray matter volumes over 1 year based on the Jacobian images that contained the deformation data on all subjects first and then within each group.

Neuropsychological Evaluations

The executive functions were evaluated at baseline, 6 months, and 1 year by using the Wisconsin Card Sorting Test (21). We selected the number of categories completed and the number of perseverative errors as indices of executive functioning. Perseverative errors were transformed so that higher scores indicated improvement.
We conducted a stratified analysis to examine changes in these two measures over the follow-up period using binomial mixed-effects growth models. Mixed-effects models were used instead of repeated-measures analysis of variance because they allow for a more flexible and realistic longitudinal structure of longitudinal data (22), and they provide a more accurate estimation of missing data than the last-observation-carried-forward method (23). This method uses the subject's own data to generate robust maximum-likelihood parameter estimates in the presence of missing data, thus avoiding potentially biased imputations. Our choice of the statistical method was further motivated by its acceptance by the Food and Drug Administration (23). Binomial models were used because of the nonnormal and highly skewed distribution of Wisconsin Card Sorting Test scores, which could not be handled by nonlinear transformation; such distributions are common on neuropsychological tests. Therefore, the data were dichotomized by median split and are presented as the percentage of subjects exceeding the median for the entire study group at baseline (having more than five categories completed or more than nine perseverative errors). We accepted missing neuropsychological data points of up to 30%. Decreasing the missing data rate to below 30% led to having fewer numbers in each cell with a loss of power. We included cytomegalovirus exposure, age, sex, and socioeconomic status as covariates.

Immunological Assays

To test for viral exposure, IgG antibodies to HSV1 and cytomegalovirus were assayed with solid-phase enzyme immunoassay directed at the HSV1/cytomegalovirus-specific gG-1 glycoprotein (12, 13). Assays using different microtiter plates were standardized by using reference samples on each assay plate. Antibody titers were quantified as signal-to-cutoff ratios. Subjects with antibody ratios of 1.3 or higher were considered HSV1 seropositive, and those with ratios below 1.3 were considered HSV1 seronegative.

Results

Demographic and Clinical Characteristics

At baseline, the study group comprised 26 subjects with schizophrenia and 38 healthy subjects. Nearly two-thirds of the subjects with schizophrenia (65%) were male, and their mean age was 23.59 years (SD=7.82). Their mean illness duration—the time between the onset of the first psychotic symptom and the time of evaluation—was 2.12 years (SD=2.26). In the healthy comparison group, 55% of the subjects were male, and the mean age was 23.05 years (SD=4.85). The majority of subjects were available for follow-up (Table 1). The subjects with schizophrenia differed from the healthy subjects with regard to score on the Hollingshead index of socioeconomic status (schizophrenia: mean=36.06, SD=12.93; healthy: mean=44.80, SD=10.44; t=2.98, df=62, p=0.004) but not age, sex, or serostatus at baseline, 6 months, or 1 year. There were no significant differences between the HSV1-seropositive and -seronegative schizophrenia subjects in scores on the Scale for the Assessment of Positive Symptoms (SAPS) (seropositive: mean=28.62, SD=10.77; seronegative: mean=24.00, SD=11.05) and the Scale for the Assessment of Negative Symptoms (SANS) (seropositive: mean=40.85, SD=8.07; seronegative: mean=46.85, SD=40.85) at baseline (all p>0.11) or at follow-up (positive symptoms: 7.60 [SD=6.79] versus 9.80 [SD=7.12]; negative symptoms: 39.00 [SD=11.40] versus 33.60 [SD=9.42]) (p>0.37 in all cases). Age, sex, illness duration, and Brief Psychiatric Rating Scale (BPRS), SANS, and SAPS scores did not differ between individuals who were followed up for 1 year and those who were not followed up (p>0.31 in all cases). However, the individuals not available at 1 year did have lower socioeconomic status (t=2.25, df=62, p=0.03).
TABLE 1. Baseline Herpes Simplex Virus 1 (HSV1) Status of Schizophrenia and Healthy Subjects and Distribution Across 1 Year of Follow-Up
 Number of Subjects
 Baseline26 Weeks52 Weeks
Evaluation and GroupHSV1-PositiveHSV1-NegativeHSV1-PositiveHSV1-NegativeHSV1-PositiveHSV1-Negative
Neuropsychological studya 
    Healthy comparison subjects142410211217
    Subjects with schizophrenia or schizoaffective disorder1313111095
Neuroimaging studyb 
    Healthy comparison subjects717717
    Subjects with schizophrenia or schizoaffective disorder126126
a
No significant difference in serological status between the schizophrenia and healthy groups at baseline (χ2=2.63, df=3, p=0.45), 6 months (χ2=3.23, df=3, p=0.36), or 1 year (χ2=1.70, df=3, p=0.64).
b
No significant difference in serological status between the schizophrenia and healthy groups (χ2=6.17, df=3, p=0.10).
MRI studies were completed by 18 schizophrenia subjects and 24 comparison subjects. There were no significant differences between these groups in age (schizophrenia: mean=24.00 years, SD=6.82; comparison: mean=23.75, SD=6.09), sex, or socioeconomic status. Age, socioeconomic status, sex, illness duration, and scores on the BPRS, SANS, and SAPS did not differ between participants included and excluded from the imaging analyses (p>0.40 in all cases).

Structural Imaging

Cross-sectional morphometric studies did not show that the interaction between diagnosis and HSV1 status had an effect on gray matter volume across the entire study group, at either baseline or follow-up. When the schizophrenia and healthy subjects were analyzed separately, the HSV1-seropositive schizophrenia subjects had a smaller gray matter volume in combined Brodmann's areas 8, 9, and 32 than did their seronegative counterparts, at baseline (seronegative: mean=4.92 cc, SD=0.20; seropositive: mean=4.50, SD=0.14; t=3.23, df=16, p=0.005) and at follow-up (seronegative: mean=4.67 cc, SD=0.28; seropositive: mean=4.26, SD=0.24; t=5.18, df=16, p=0.00009). This was not the case for the healthy subjects (p>0.16 at both times). The HSV1-related differences in gray matter volume did not differ significantly between the schizophrenia and comparison groups.
Deformation fields analysis of the longitudinal morphometric studies revealed that schizophrenia subjects as a group showed a reduction in the bilateral posterior cingulate gyri (left: T=11.43, false discovery rate p=0.002; right: T=8.49, p=0.005) over 1 year. The estimated mean gray matter reduction in the posterior cingulate gyrus at 1 year was 0.82 cc on the left and 0.18 cc on the right. Prefrontal gray matter volumes did not show longitudinal changes, and healthy subjects did not show significant gray matter changes in any region during this period.
Within the HSV1-seropositive schizophrenia subjects, the deformation fields analysis revealed a significant reduction over 1 year in gray matter volume in the left posterior cingulate gyrus and a nearly significant change for the right posterior cingulate gyrus (Figure 1). The mean estimated reduction in gray matter volume was 1.60 cc in the left posterior cingulate gyrus and 0.66 cc on the right. Significant gray matter loss during the same period was not observed in the seronegative schizophrenia subjects or in either the HSV1-seronegative or -seropositive healthy subjects.
FIGURE 1. Changes in Gray Matter Volume Over 1 Year in 12 Schizophrenia Subjects Exposed to Herpes Simplex Virus 1a
a In the whole-brain analysis, the left posterior cingulate gyrus showed significant loss of gray matter volume after correction for multiple comparisons, according to the false discovery rate approach (T=13.77, false discovery rate p=0.04). The gray matter volume in the right posterior cingulate gyrus showed a nearly significant loss after correction for multiple comparisons (T=9.93, false discovery rate p=0.07).

Executive Functioning

Categories completed.

Using the mixed-effects model, we evaluated main effects on the number of categories completed on the Wisconsin Card Sorting Test. The effects of diagnosis, follow-up duration, HSV1 status, and cytomegalovirus status were examined. Next, diagnosis-by-HSV1, diagnosis-by-time, and three-way diagnosis-by-serostatus-by-time interactions were examined separately for HSV1 and cytomegalovirus (Table 2).
TABLE 2. Mixed-Model Analysis of Executive Functioning Over 1-Year Follow-Up in Relation to Baseline Herpes Simplex Virus 1 (HSV1) Status for Schizophrenia and Healthy Subjectsa
 Measure From Wisconsin Card Sorting Test
 Categories CompletedPerseverative Errors
AnalysisBetaSEpBetaSEp
Intercept0.842.210.71–4.013.310.23
Main effects 
    Age0.020.050.750.050.070.49
    Sex–1.000.600.101.550.890.09
    Socioeconomic status0.060.020.02b–0.020.040.62
    Diagnosis–2.200.960.03b4.741.710.007b
    Follow-up duration1.750.740.02b–1.990.820.02b
    Cytomegalovirus status (positive or negative)0.440.830.601.381.170.25
    HSV1 status (positive or negative)–1.560.830.070.851.180.48
Interactions 
    Diagnosis by follow-up duration–0.991.040.35–0.741.990.71
    Diagnosis by cytomegalovirus status–0.391.190.75–1.381.810.45
    Cytomegalovirus status by follow-up duration–3.971.100.0005b–0.781.800.67
    Diagnosis by HSV1 status2.091.240.10–3.631.990.08
    HSV1 status by follow-up duration4.051.350.004b–3.622.110.09
    Diagnosis by follow-up duration by cytomegalovirus status4.401.360.002b1.162.290.62
    Diagnosis by follow-up duration by HSV1 status–5.911.590.0004b5.572.79<0.05b
a
The tests at baseline were completed by 26 subjects with schizophrenia or schizoaffective disorder and 38 healthy subjects.
b
Statistically significant.
In the entire study group, the main effects of diagnosis and time suggested that the subjects with schizophrenia completed fewer categories than the healthy subjects and that the group as a whole completed more categories at the 1-year follow-up than at baseline. A nearly significant effect of HSV1 serostatus (p=0.07) suggested that the HSV1-exposed subjects (schizophrenia and comparison subjects combined) completed fewer categories than did the unexposed subjects. Significant interactions between time and HSV1 status and between time and cytomegalovirus status in the combined group indicated that fewer categories were completed by subjects exposed to either HSV1 or cytomegalovirus than by those unexposed.
Within the diagnostic groups, the number of HSV1-negative schizophrenia subjects who could complete more than the median number of categories at baseline for the study group (i.e., more than five categories) increased by 57% over 1 year (Figure 2). In contrast, the number of seropositive schizophrenia subjects who completed more than five categories fell by 40% over 1 year. The healthy comparison subjects did not show such changes, possibly because of their near-ceiling performance at baseline (Figure 2). Cytomegalovirus-seropositive subjects showed a similar pattern during the follow-up (data not shown). The three-way interaction of time, diagnosis, and cytomegalovirus status was significant (Table 2). After the cytomegalovirus association was included in the model, the three-way interaction of time, diagnosis, and HSV1 status remained highly significant (Table 2). These models accounted for baseline differences as well as variance contributed by cytomegalovirus status.
FIGURE 2. Relation of Changes in Executive Functioning Over 1 Year to Exposure to Herpes Simplex Virus 1 (HSV1) in Schizophrenia and Healthy Subjectsa
a The median number of categories completed for the entire study group at baseline was five. The median number of perseverative errors was nine. The number of perseverative errors was transformed so that higher scores indicated improvement. HSV1-seronegative healthy subjects were performing at near ceiling for the categories completed at baseline with no noticeable improvement over 1 year.

Perseverative errors.

A separate mixed model examined the main effects and interactions for perseverative errors in the same manner as for the categories completed (Table 2). In the combined study group (schizophrenia plus healthy subjects), we observed main effects of diagnosis and time. The subjects with schizophrenia committed more errors than the healthy subjects, and over time the group as a whole committed fewer errors. We did not observe a main effect of cytomegalovirus or HSV1 status. There were nearly significant interactions between HSV1 status and diagnosis and between HSV1 status and time but not between diagnosis and cytomegalovirus status. Individuals in the combined study group who were exposed to HSV1 did not commit more errors than those who were unexposed.
Over 1 year, the number of HSV1-seronegative schizophrenia subjects who committed fewer than the median number of errors for the study group (fewer than nine) increased by 25%, compared with 14% in the HSV1-seropositive schizophrenia subgroup (Figure 2). Cytomegalovirus-seropositive subjects did not show such associations. The final model that accounted for baseline differences and cytomegalovirus exposure showed a significant three-way interaction of time, diagnosis, and HSV1 status, indicating a greater reduction in perseverative errors among the HSV1-seronegative schizophrenia subjects than among those who were seropositive.

Correlations of Changes in Executive Functioning and Gray Matter Volumes

Post hoc multiple regressions on the combined study group (schizophrenia and healthy subjects) showed a significant correlation between change in the number of perseverative errors over 1 year and the change in posterior cingulate gyrus volume (Pearson r=0.60, N=42, p=0.0002). This revealed that increases in perseverative errors correlated with volume loss in the posterior cingulate gyrus. These observations were most prominent among the HSV1-seropositive schizophrenia subjects (Figure 3). We did not observe significant correlations with the change in the number of categories completed.
FIGURE 3. Location of 1-Year Change in Posterior Cingulate Cortex Volume Correlating With Change in Number of Perseverative Errors in Nine Schizophrenia Subjects Exposed to Herpes Simplex Virus 1a
a The measure of perseverative errors was from the Wisconsin Card Sorting Test and was transformed so that higher scores indicated improvement. The correlation between change in the volume of the posterior cingulate cortex and change in perseverative errors was statistically significant (r=0.73, p=0.007).

Discussion

We observed significant loss of posterior cingulate gyrus gray matter over 1 year among HSV1-seropositive subjects with schizophrenia. Consistent with the volume loss was the finding that more HSV1-seropositive than -seronegative schizophrenia subjects showed a decline in performance on executive functions over 1 year. Specifically, more HSV1-seropositive schizophrenia subjects had a decline in Wisconsin Card Sorting Test categories completed and an increase in perseverative errors compared with HSV1-seronegative schizophrenia subjects. Although cytomegalovirus exposure was associated with significant reduction in the number of categories completed (not perseverative errors), it did not account for the HSV1-associated changes. The neuropsychological and structural MRI findings appear to be convergent. The posterior cingulate gyrus is thought to be involved in the regulation of executive control and working memory (24). However, the structure-function relationship can be complex (25). Previous follow-up studies of survivors of HSV1 encephalitis indicate continued gray matter loss and cognitive impairments (26). To our knowledge, this pilot study is the first one to show that HSV1 exposure is associated with longitudinal gray matter loss and a decline in executive functioning without a history of acute encephalitis. Individuals with schizophrenia may be particularly susceptible to such progression.
There are several plausible explanations for the observed changes. In the rodent and rabbit models of CNS HSV1 exposure, latent infection and reactivation directly affected functioning through neuronal death or dysfunction. Neuronal death resulted from apoptosis (27). Neuronal dysfunction during reactivation and latency resulted from modulation of apoptosis (8) and autophagy (9), host cell translational shutoff (28), oxidative damage (29), and/or neurotransmitter alterations (30). Even with peripheral infections, HSV1 could alter neurotransmission through release of cytokines, especially chemokines (31), which may be elevated in HSV1-exposed individuals (31). Human studies support some of these observations (32). These processes occur throughout the life of an infected person.
The precise reasons for loss of posterior cingulate gyrus gray matter are unknown. The posterior cingulate volume loss in longitudinal studies of schizophrenia is inconsistent (33, 34), possibly because sensitive computational approaches were not used. Using deformation fields analysis, we noted longitudinal gray matter loss in schizophrenia regardless of serostatus. In our previous cross-sectional study, we did not observe posterior cingulate gyrus volume differences at baseline for schizophrenia and healthy subjects across HSV1 serostatus (14). Another study indicated lower than normal baseline posterior cingulate gyrus volume among HSV1-positive schizophrenia subjects that correlated with trails test performance (15). In this study, both deformation fields analysis and extracted volumes showed smaller gray matter volumes in the HSV1-seropositive subjects with schizophrenia, but volume differences observed on extracted volumes should be viewed with caution because they are based on rule-based boundaries assigned by the Talairach database and may not precisely represent the absolute anatomy of the regions (17). Longitudinal changes have been noted in animals and in patients with successfully treated HSV1 encephalitis. In animals, long-term HSV1 exposure followed by acyclovir treatment, but not short-term exposure, was associated with cingulate cortex neuronal loss (35). Similarly, recovering patients with acyclovir-treated HSV1 encephalitis continue to show posterior cingulate gyrus gray matter loss (26). HSV1 infection may also activate proinflammatory cytokines (36), which are associated with decreased posterior cingulate gyrus volume (37). We did not observe longitudinal prefrontal cortex changes, possibly because our relatively small group of structural scans might have shown significant changes for the region with the largest effect size. For regions with smaller effects (Cohen's d of 0.2 or lower), we need to double the number of subjects.
The sensitive and specific nature of the serum antibody assays used here reliably indicates prior exposure to the neurotropic agents, providing a noninvasive and sensitive proxy for brain infection. The presence of HSV1 DNA in the trigeminal ganglia in human postmortem studies significantly correlates with peripheral evidence of HSV1 infection (38). However, there is no reliable method for directly demonstrating current brain infection; polymerase chain reaction assays detect viral DNA in the CSF for only a proportion of patients with acute encephalitis (39). Further, serological assays cannot precisely indicate the timing or duration of the infection, e.g., prenatal versus postnatal exposure. There are no systematic human studies on exposure at different developmental periods and specific differential effects on brain structure or function and cognitive performance. Animal studies suggest that prenatal exposure (particularly within the first few weeks) may be more important than postnatal exposure for schizophrenia risk (40). However, it is unclear whether the same holds for cognitive impairments. It is possible that the HSV1-positive individuals in this study were infected in the prenatal or perinatal period, with the current assays indicating past exposure and recrudescences. Thus, seropositive individuals may reflect the impact of acute and/or chronic exposure, as well as alterations in a number of neurodevelopmental processes. Since several cellular and molecular changes have been demonstrated following HSV1 exposure, a person exposed for a longer time can be expected to show more abnormalities.
It is unclear why the HSV1-positive schizophrenia subjects but not the HSV1-positive healthy subjects showed significant longitudinal changes. In contrast to the individuals with schizophrenia, the healthy subjects performed optimally at baseline and thus may have had greater compensatory reserve. The schizophrenia group may have had more prolonged exposure than the comparison subjects. Alternatively, variations in the host immune response or exposure to other infectious agents could explain between-group differences.
On the basis of existing evidence from cross-sectional studies that showed impaired working memory and executive functioning, we hypothesized longitudinal changes in executive functioning. Our analyses support this prediction, but there are several limitations. Practice effects might explain part of the variance. Since all subjects took the tests at both time points, it is unlikely that the practice effects solely explain these observations. Specifically, practice effects may explain improved performance for the HSV1-negative schizophrenia subjects (Figure 2), but they cannot explain the decline in functioning observed in the HSV1-exposed subjects. Differences in medications between the exposed and unexposed patients may explain some of the results, though the severity of positive and negative symptoms in the HSV1-seropositive group did not change between baseline and follow-up. All of the subjects evaluated at baseline were not available for follow-up evaluations, but the proportions of seropositive schizophrenia and healthy subjects did not change significantly. Further, clinical and demographic characteristics did not differ between those who were followed up and those who dropped out, except for socioeconomic status, and all results were controlled for this difference. Thus, differential attrition may not significantly account for the observed differences.
In conclusion, we report longitudinal changes in posterior cingulate gyrus gray matter volume and executive functioning among schizophrenia subjects exposed to HSV1, after variance due to cytomegalovirus exposure and other potential confounds was accounted for. Significant changes were not observed for the imaging or cognitive measures among HSV1-seronegative schizophrenia subjects or among the healthy comparison subjects. These results are important because of consistent and substantial correlations between cognitive impairments and long-term outcome in schizophrenia. Cohort-based studies can clarify whether these associations reflect an etiological effect of HSV1 exposure. Such studies are justifiable, as effective medications to treat HSV1 infection are available.

Acknowledgments

The authors thank Cameron S. Carter, M.D., Gretchen L. Haas, Ph.D., Nina R. Schooler, Ph.D., and the clinical core staff of the Conte Center for the Neuroscience of Mental Disorders for their assistance in diagnostic and psychopathological assessments.

Footnote

Received Oct. 4, 2010; revision received Feb. 9, 2011; accepted March 3, 2011.

References

1.
Elvevag B, Goldberg TE: Cognitive impairment in schizophrenia is the core of the disorder. Crit Rev Neurobiol 2000; 14:1–21
2.
Aleman A, Hijman R, de Haan EHF, Kahn RS: Memory impairment in schizophrenia: a meta-analysis. Am J Psychiatry 1999; 156:1358–1366
3.
Weickert TW, Goldberg TE, Gold JM, Bigelow LB, Egan MF, Weinberger DR: Cognitive impairments in patients with schizophrenia displaying preserved and compromised intellect. Arch Gen Psychiatry 2000; 57:907–913
4.
Green MF: What are the functional consequences of neurocognitive deficits in schizophrenia? Am J Psychiatry 1996; 153:321–330
5.
Bora E, Gokcen S, Kayahan B, Veznedaroglu B: Deficits of social-cognitive and social-perceptual aspects of theory of mind in remitted patients with schizophrenia: effect of residual symptoms. J Nerv Ment Dis 2008; 196:95–99
6.
Frith C, Dolan R: The role of the prefrontal cortex in higher cognitive functions. Brain Res Cogn Brain Res 1996; 5:175–181
7.
Meltzer HY, McGurk SR: The effects of clozapine, risperidone, and olanzapine on cognitive function in schizophrenia. Schizophr Bull 1999; 25:233–255
8.
Aubert M, O'Toole J, Blaho JA: Induction and prevention of apoptosis in human HEp-2 cells by herpes simplex virus type 1. J Virol 1999; 73:10359–10370
9.
Orvedahl A, Levine B: Autophagy and viral neurovirulence. Cell Microbiol 2008; 10:1747–1756
10.
Delisi LE, Smith SB, Hamovit JR, Maxwell ME, Goldin LR, Dingman CW, Gershon ES: Herpes simplex virus, cytomegalovirus and Epstein-Barr virus antibody titres in sera from schizophrenic patients. Psychol Med 1986; 16:757–763
11.
Niebuhr DW, Millikan AM, Yolken R, Li Y, Weber NS: Results from a hypothesis generating case-control study: herpes family viruses and schizophrenia among military personnel. Schizophr Bull 2008; 34:1182–1188
12.
Dickerson FB, Boronow JJ, Stallings C, Origoni AE, Ruslanova I, Yolken RH: Association of serum antibodies to herpes simplex virus 1 with cognitive deficits in individuals with schizophrenia. Arch Gen Psychiatry 2003; 60:466–472
13.
Shirts BH, Prasad KM, Pogue-Geile MF, Dickerson F, Yolken RH, Nimgaonkar VL: Antibodies to cytomegalovirus and herpes simplex virus 1 associated with cognitive function in schizophrenia. Schizophr Res 2008; 106:268–274
14.
Prasad KM, Shirts BH, Yolken RH, Keshavan MS, Nimgaonkar VL: Brain morphological changes associated with exposure to HSV1 in first-episode schizophrenia. Mol Psychiatry 2007; 12:105–113
15.
Schretlen DJ, Vannorsdal TD, Winicki J, Mushtaq Y, Hikida T, Sawa A, Yolken RH, Dickerson FB, Cascella NG: Neuroanatomic and cognitive abnormalities related to herpes simplex virus type 1 in schizophrenia. Schizophr Res 2010; 118:224–231
16.
Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS: A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001; 14(1, part 1):21–36
17.
Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH: An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage 2003; 19:1233–1239
18.
Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002; 15:273–289
19.
Chetelat G, Landeau B, Eustache F, Mezenge F, Viader F, de la Sayette V, Desgranges B, Baron JC: Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study. Neuroimage 2005; 27:934–946
20.
Ashburner J, Csernansky JG, Davatzikos C, Fox NC, Frisoni GB, Thompson PM: Computer-assisted imaging to assess brain structure in healthy and diseased brains. Lancet Neurol 2003; 2:79–88
21.
Heaton RK, Chelune GJ, Talley JL, Kay GG, Curtiss G: Wisconsin Card Sorting Test Manual. Odessa, Fla, Psychological Assessment Resources, 1993
22.
Raudenbush DSW, Bryk DAS: Hierarchical Linear Models: Applications and Data Analysis Methods. Thousand Oaks, Calif, Sage Publications, 2002
23.
Siddiqui O, Ali MW: A comparison of the random-effects pattern mixture model with last-observation-carried-forward (LOCF) analysis in longitudinal clinical trials with dropouts. J Biopharm Stat 1998; 8:545–563
24.
Kim DI, Manoach DS, Mathalon DH, Turner JA, Mannell M, Brown GG, Ford JM, Gollub RL, White T, Wible C, Belger A, Bockholt HJ, Clark VP, Lauriello J, O'Leary D, Mueller BA, Lim KO, Andreasen N, Potkin SG, Calhoun VD: Dysregulation of working memory and default-mode networks in schizophrenia using independent component analysis, an fBIRN and MCIC study. Hum Brain Mapp 2009; 30:3795–3811
25.
Demakis GJ: Frontal lobe damage and tests of executive processing: a meta-analysis of the Category Test, Stroop test, and Trail-Making Test. J Clin Exp Neuropsychol 2004; 26:441–450
26.
Markoula S, Giannopoulos S, Pelidou SH, Argyropoulou M, Lagos G, Kyritsis AP: MRI deterioration in herpes simplex encephalitis despite clinical recovery. Neurologist 2009; 15:223–226
27.
Kraft RM, Nguyen ML, Yang X-H, Thor AD, Blaho JA: Caspase 3 activation during herpes simplex virus 1 infection. Virus Res 2006; 120:163–175
28.
Feng P, Everly DN, Read GS: mRNA decay during herpes simplex virus (HSV) infections: protein-protein interactions involving the HSV virion host shutoff protein and translation factors eIF4H and eIF4A. J Virol 2005; 79:9651–9664
29.
Valyi-Nagy T, Dermody TS: Role of oxidative damage in the pathogenesis of viral infections of the nervous system. Histol Histopathol 2005; 20:957–967
30.
Paivarinta MA, Marttila RJ, Lonnberg P, Rinne UK: Decreased raphe serotonin in rabbits with experimental herpes simplex encephalitis. Neurosci Lett 1993; 156(1–2):1–4
31.
Wuest TR, Carr DJ: The role of chemokines during herpes simplex virus-1 infection. Front Biosci 2008; 13:4862–4872
32.
Hill JM, Zhao Y, Clement C, Neumann DM, Lukiw WJ: HSV-1 infection of human brain cells induces miRNA-146a and Alzheimer-type inflammatory signaling. Neuroreport 2009; 20:1500–1505
33.
Koo MS, Levitt JJ, Salisbury DF, Nakamura M, Shenton ME, McCarley RW: A cross-sectional and longitudinal magnetic resonance imaging study of cingulate gyrus gray matter volume abnormalities in first-episode schizophrenia and first-episode affective psychosis. Arch Gen Psychiatry 2008; 65:746–760
34.
Farrow TF, Whitford TJ, Williams LM, Gomes L, Harris AW: Diagnosis-related regional gray matter loss over two years in first episode schizophrenia and bipolar disorder. Biol Psychiatry 2005; 58:713–723
35.
McLean JH, Shipley MT, Bernstein DI, Corbett D: Selective lesions of neural pathways following viral inoculation of the olfactory bulb. Exp Neurol 1993; 122:209–222
36.
Oakes JE, Monteiro CA, Cubitt CL, Lausch RN: Induction of interleukin-8 gene expression is associated with herpes simplex virus infection of human corneal keratocytes but not human corneal epithelial cells. J Virol 1993; 67:4777–4784
37.
Ellman LM, Deicken RF, Vinogradov S, Kremen WS, Poole JH, Kern DM, Tsai WY, Schaefer CA, Brown AS: Structural brain alterations in schizophrenia following fetal exposure to the inflammatory cytokine interleukin-8. Schizophr Res 2010; 121:46–54
38.
Hill JM, Ball MJ, Neumann DM, Azcuy AM, Bhattacharjee PS, Bouhanik S, Clement C, Lukiw WJ, Foster TP, Kumar M, Kaufman HE, Thompson HW: The high prevalence of herpes simplex virus type 1 DNA in human trigeminal ganglia is not a function of age or gender. J Virol 2008; 82:8230–8234
39.
Sauerbrei A, Eichhorn U, Hottenrott G, Wutzler P: Virological diagnosis of herpes simplex encephalitis. J Clin Virol 2000; 17:31–36
40.
Meyer U, Yee BK, Feldon J: The neurodevelopmental impact of prenatal infections at different times of pregnancy: the earlier the worse? Neuroscientist 2007; 13:241–256

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 822 - 830
PubMed: 21632649

History

Received: 4 October 2010
Revision received: 9 February 2011
Accepted: 3 March 2011
Published online: 1 August 2011
Published in print: August 2011

Authors

Details

Konasale M. Prasad, M.D.
From the Western Psychiatric Institute and Clinic and the Department of Psychiatry, University of Pittsburgh School of Medicine; the School of Social Work, University of Pittsburgh; the Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit; the Department of Psychiatry, Harvard Medical School, Boston; and the Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore.
Shaun M. Eack, Ph.D.
From the Western Psychiatric Institute and Clinic and the Department of Psychiatry, University of Pittsburgh School of Medicine; the School of Social Work, University of Pittsburgh; the Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit; the Department of Psychiatry, Harvard Medical School, Boston; and the Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore.
Dhruman Goradia, M.S.
From the Western Psychiatric Institute and Clinic and the Department of Psychiatry, University of Pittsburgh School of Medicine; the School of Social Work, University of Pittsburgh; the Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit; the Department of Psychiatry, Harvard Medical School, Boston; and the Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore.
Krishna M. Pancholi, M.S.
From the Western Psychiatric Institute and Clinic and the Department of Psychiatry, University of Pittsburgh School of Medicine; the School of Social Work, University of Pittsburgh; the Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit; the Department of Psychiatry, Harvard Medical School, Boston; and the Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore.
Matcheri S. Keshavan, M.D.
From the Western Psychiatric Institute and Clinic and the Department of Psychiatry, University of Pittsburgh School of Medicine; the School of Social Work, University of Pittsburgh; the Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit; the Department of Psychiatry, Harvard Medical School, Boston; and the Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore.
Robert H. Yolken, M.D.
From the Western Psychiatric Institute and Clinic and the Department of Psychiatry, University of Pittsburgh School of Medicine; the School of Social Work, University of Pittsburgh; the Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit; the Department of Psychiatry, Harvard Medical School, Boston; and the Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore.
Vishwajit L. Nimgaonkar, M.D., Ph.D.
From the Western Psychiatric Institute and Clinic and the Department of Psychiatry, University of Pittsburgh School of Medicine; the School of Social Work, University of Pittsburgh; the Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit; the Department of Psychiatry, Harvard Medical School, Boston; and the Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore.

Notes

Address correspondence and reprint requests to Dr. Prasad, Western Psychiatric Institute and Clinic, Rm. 422, Suite 431, 3811 O'Hara St., Pittsburgh, PA 15213; [email protected] (e-mail).

Funding Information

Dr. Eack has received consulting fees from Abbott Laboratories. Dr. Yolken is a member of the Stanley Medical Research Institute Board of Directors and Scientific Advisory Board; the terms of this arrangement are being managed by the Johns Hopkins University in accordance with its conflict of interest policies. The other authors report no financial relationships with commercial interests.Supported by NIMH grant MH-45156 to the Conte Center for the Neuroscience of Mental Disorders at the University of Pittsburgh, NIMH grant MH-72995, a NARSAD Young Investigator Award to Dr. Prasad, and NIMH grant MH-63480 and grant 07R-1712 from the Stanley Medical Research Institute to Dr. Nimgaonkar.

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

View Options

View options

PDF/EPUB

View PDF/EPUB

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - American Journal of Psychiatry

PPV Articles - American Journal of Psychiatry

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share