Neurological soft signs might be endophenotype candidates for patients with deficit syndrome schizophrenia

Abstract

Background

Schizophrenia is a chronic, disabling, disorder that affects approximately 1% of the population. The nature of schizophrenia is heterogeneous, and unsuccessful efforts to subtype this disorder have been made. Deficit syndrome schizophrenia (DS) is a clinical diagnosis that has not been placed in main diagnostic manuals. In this study, we aimed to investigate and compare neurological soft signs (NSS) in DS patients, non-deficit schizophrenia (NDS) patients, and healthy controls (HCs). We suggest that NSS might be an endophenotype candidate for DS patients.

Methods

Sixty-six patients with schizophrenia and 30 HCs were enrolled in accordance with our inclusion and exclusion criteria. The patients were sub-typed as DS (n=24) and NDS (n=42) according to the Schedule for the Deficit Syndrome. The three groups were compared in terms of sociodemographic and clinical variables and total scores and subscores on the Physical and Neurological Examination for Soft Signs (PANESS). Following the comparison, a regression analysis was performed for predictability of total PANESS score and its subscales in the diagnosis of DS and NDS.

Results

The groups were similar in terms of age, sex, and smoking status. The results of our study indicated that the total PANESS score was significantly higher in the DS group compared to the NDS and HC groups, and all PANESS subscales were significantly higher in the DS group than in the HC group. The diagnosis of DS was predicted significantly by total PANESS score (P<0.001, odds ratio =9.48, 95% confidence interval: 0.00–4.56); the synergy, graphesthesia, stereognosis, motor tasks, and ability to maintain posture subscales were found to be significant predictors.

Conclusion

This study confirms that NSS were higher in patients with DS. In addition, we suggest that our results might support the notion of DS as a different and distinct type of schizophrenia. NSS might also be a promising candidate as an endophenotype for DS. However, large sampled, multicentric studies are needed to clarify the place of NSS as an endophenotype in DS.

Keywords:

• biomarker
• psychosis
• sign
• clinical subtypes of schizophrenia

Introduction

Schizophrenia is a chronic and disabling disorder that is estimated to affect 1% of the general population.¹ Since its classification, there have been efforts to sub-classify schizophrenia, due to the heterogeneity of its symptoms and progression of illness. However, it can be said that current efforts to achieve this have not proven much more successful than efforts in the past. Specifically, during the revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM)–IV Text Revision² to DSM-V,³ the subtypes of schizophrenia, such as paranoid, disorganized, catatonic, undifferentiated, and residual, were eliminated because of their diagnostic validities. Currently, it may be considered that clinicians and researchers need to determine the subtypes of schizophrenia in a different manner.

Although the term deficit schizophrenia still does not have a place in diagnostic manuals of psychiatry, it has been accepted as a clinical diagnosis by both researchers and clinicians. Since Carpenter et al’s⁴ definition of deficit syndrome schizophrenia (DS), this subtype has been reported to be valid and it has been characterized by primary and continuous negative symptoms.⁵

Neurological soft signs (NSS) are the cluster of symptoms that aim to describe neurological abnormalities in such categories as motor coordination, sensory integration, and sequencing of complex motor activities.^6–8 NSS have been well investigated in patients with schizophrenia, and it has been accepted that NSS are higher in these patients in comparison to healthy subjects.⁹ Furthermore, NSS were demonstrated to be higher in drug-naïve, first-episode schizophrenia patients, and thus, NSS have been suggested as an intrinsic feature of schizophrenia. There has also been evidence indicating that NSS can predict a poor prognosis in schizophrenia. In contrast, some studies have found that NSS are lower in correlation with psychopathology.¹⁰

There has been a limited number of studies that have compared NSS in DS and non-deficit schizophrenia (NDS) patients. Thus, the aim of this study was to compare NSS among NDS, DS, and healthy control (HC) groups. Our premise was that there would be significant differences in NSS among the groups.

Methods

Participants

The study was conducted at the Department of Psychiatry, Yenimahalle Education and Research Hospital, Ankara, Turkey, between January 2015 and June 2015. Patients diagnosed with schizophrenia according to DSM-V and who were under treatment at the Department of Psychiatry, Yenimahalle Education and Research Hospital, were included in the study. The diagnosis of schizophrenia was also confirmed by a senior psychiatrist (ESA) according to the Structured Clinical Interview for DSM-IV Axis I (SCID-I), before patients were included in the study. The inclusion criteria were as follows: diagnosis of schizophrenia, age 18–60 years, and willing to participate in the research after a detailed explanation of the study procedure. The exclusion criteria were as follows: current or history of, a neurological disease, diagnosed with mental retardation or dementia or other cognitive deteriorating disorders, history of alcohol or substance dependence, any recent or previous chronic illness, history of major head trauma, extrapyramidal symptoms due to medication, unwillingness to participate in the study, and being in an exacerbation phase of schizophrenia. After applying the inclusion and exclusion criteria, 66 patients were included in the study. All of the patients were under treatment as well as being treated with atypical antipsychotics. Twenty-two patients were treated with olanzapine, 12 patients were treated with risperidone, ten patients were treated with aripiprazole, and 22 patients were treated with a combination of atypical antipsychotics (olanzapine, quetiapine, risperidone, paliperidone, aripiprazole). Thirty healthy individuals selected from the hospital staff were included as the HC group. Detailed psychiatric and medical family histories were obtained from the HC group, and none of them had a family history of schizophrenia.

The local ethics committee of Yenimahalle Education and Research Hospital approved the present study. All of the participants reported that they understood the written informed consent and subsequently provided this. A clear explanation was also provided to the families of the patients included in the study and they accepted our study protocol and design, as well as the method of obtaining the informed consent.

Instruments

SCID-I

SCID-I is a semi-structured tool for diagnostic use according to Diagnostic and Statistical Manual of Mental Disorders, 4th edition, text revised Axis I. It can be administered by a psychiatrist or anyone who has been trained in terms of SCID. This tool was developed by First et al,¹¹ and it was reported to be reliable and validated in the Turkish language.¹²

Scale for the Assessment of Negative Symptoms

The Scale for the Assessment of Negative Symptoms (SANS) was created to measure negative symptoms such as affective blunting, alogia (impoverished thinking), avolition/apathy, anhedonia/asociality, and disturbance of attention in patients with schizophrenia. It was developed by Andreasen,¹³ and reported to be reliable and validated in the Turkish language.¹⁴

Brief Psychiatric Rating Scale

The Brief Psychiatric Rating Scale (BPRS) was created to measure psychiatric symptoms, such as negative symptoms, positive symptoms, disorganized behavior and speech, anxiety, and depression. The scores range from 1 to 7, and there are two versions, with 18 to 24 symptoms. BPRS was created by Overall and Gorham, and its Turkish translation is available and widely used in clinical practice.¹⁵

Scale for the Assessment of Positive Symptoms

The Scale for the Assessment of Positive Symptoms (SAPS) was produced by Andreasen¹⁶ to evaluate positive symptoms such as hallucinations, delusions, bizarre behavior, and positive formal thought disorder in patients with schizophrenia. The Turkish translation has been reported to be validated and reliable.¹⁷

Schedule for the Deficit Syndrome

The patients were sub-typed as either being with or without deficit by using the Schedule for the Deficit Syndrome.¹⁸ This semi-structured interviewing tool describes DS as the existence of at least two of six continuous negative symptoms of schizophrenia – restricted affect, diminished emotional range, speech poverty, diminished interests, diminished sense of aim, and diminished social drive – of at least moderate severity. The present negative symptoms must have existed for a minimum of 12 months, even during periods of clinical stability. Confounding factors, such as anxiety, medication effect, positive symptoms, mental retardation, and depression, must be excluded. Family members and associated clinicians also confirm the deficit state. This schedule has been reported to be validated and reliable in the Turkish language.¹⁹

Physical and Neurological Examination for Soft Signs

The Physical and Neurological Examination scale was reported to be valid and reliable to evaluate physical and neurological soft signs.²⁰ The PANESS consists of two parts – physical and neurological. The neurological part consists of 43 items: 1) coordination (items 1–8; eg, finger to nose test; range 8–32); 2) graphesthesia (items 9–16; eg, identifying drawn figures on palms; range 8–32); 3) stereognosis (items 17–20; eg, identifying objects put on palm; range 4–16); 4) motor tasks (items 21–29; eg, heel walking, face-hand and face-noise tests, two-point discrimination); 5) ability to maintain posture (items 30–36; eg, Romberg; range 7–28); 6) ability to tap in a smooth rhythm (items 37–42; eg, number of taps in a 5-second period and quality of tapping at a speed of 4 beats/second); and 7) string test (item 43; optokinetic test; range 0–4).²⁰

Statistical methods

The data was analyzed by Statistical Package for the Social Sciences, PC version 17.0 (SPSS Inc., Chicago, IL, USA). A CI of 95% and a two-tailed P<0.05 were accepted to be statistically significant for all of the analyses. All numeric variables were tested with the Levene test for homogeneity of variance and the Kolmogorov–Smirnov test was used for analyzing the normality of distribution. The differences between age and total score and subscores of PANESS were assessed using a series of one-way analyses of variance. Tukey’s honest significance test was applied to determine the differences between the groups in detail. Additionally, a general linear model was used to compare total PANESS score and its subscores between DS and NDS groups (age of onset and duration of illness as covariates). The categorical variables were assessed using a ² test. The Student’s t-test was used to evaluate the differences between DS and NDS groups in terms of the scores on the SANS, SAPS, and BPRS, age of onset and the duration of illness. The numerical variants are expressed as the mean ± standard deviation values. A linear regression model was constructed to investigate the association between NSS and having a diagnosis of DS and NDS.

Results

Sixty-six patients who were diagnosed with schizophrenia and 30 HCs were included in this study. After evaluating patients according to the Schedule for the Deficit Syndrome, 42 patients were sub-typed as NDS (43.8%) and 24 patients were grouped as DS (25%). There was not a significant difference between groups in terms of age (F[2, 93]=1.26, P=0.59). The female–male ratio was found to be similar between groups (χ²:1.49, P=0.47). There was no significant difference between groups in terms of smoking status, and history of psychiatric disorders in the family (respectively: χ²=0.89, P=0.77; χ²=6.92, P=0.14). The duration of illness was significantly longer in DS group compared with NDS group (t[63]=−2.56, P=0.013). The age of onset of illness was found to be significantly earlier in the DS group (t[63]=2.19, P=0.032). The mean score of BPRS in NDS group and DS groups was found to be similar (t[63]=−1.41, P=0.16). The mean scores of SANS was significantly higher in NDS (t[63]=−4.85, P<0.001); whereas the mean score of SAPS in the DS group was significantly higher compared to NDS group (t[63]=−2.84, P=0.006) (Table 1).

Table 1 Sociodemographic and clinical characteristics of participants

	HC (n=30)	NDS (n=42)	DS (n=24)	Statistic
Age (years)	33.26±5.83	35.83±7.08	36.58±6.19	F(2, 93)=1.26, P=0.59
Sex, n (%)
Female	16 (53.3)	24 (57.1)	10 (41.7)	χ^2=1.49, P=0.47
Male	14 (46.7)	18 (42.9)	14 (58.3)
Smoking status, n (%)
Yes	15 (50)	23 (54.7)	13 (54.1)	χ^2=0.89, P=0.77
No	15 (50)	19 (45.3)	11 (45.9)
SANS		28.85±16.79	50.91±19.08	t(63)=−4.85, P<0.001
SAPS		37.75±15.14	26.73±15.03	t(63)= −2.84, P=0.006
BPRS		22.09±11.34	26.45±11.24	t(63)= −1.41, P=0.16
Duration of illness (years)	–	14.14±6.19	18.20±6.11	t(63)= −2.56, P=0.013
Age at onset of illness (years)	–	21.68±6.69	18.37±4.08	t(63)=2.19, P=0.032

Notes: Significant P-values are presented in bold. Data presented as mean ± standard deviation unless otherwise indicated.

Abbreviations: BPRS, Brief Psychiatric Rating Scale; DS, deficit schizophrenia; HC, healthy control; NDS, non-deficit schizophrenia; SANS, Scale for the Assessment of Negative Symptoms; SAPS, Scale for the Assessment of Positive Symptoms.

There was a significant difference between groups in terms of PANESS scores (F[2, 93]=123.34, P<0.001). In post hoc analyses, it has been found that the total score of PANESS was significantly higher in the DS group compared to HC and NDS groups (respectively; P<0.001, P<0.001). Total PANESS score was also significantly higher in the NDS group compared with the HC group (P<0.001). There was a significant difference between the groups in terms of subscale of synergy (F[2, 93]=51.96, P<0.001). In post hoc analyses it has been found that the subscale of synergy was also significantly higher in the DS group compared to the HC and NDS groups (P<0.001, P<0.001, respectively). The subscale score of synergy was also significantly higher in the NDS group compared to the HC group (P<0.001). There was a significant difference between the groups in terms of subscale of graphesthesia (F[2, 93]=83.00, P<0.001). In post hoc analyses it has been found that the subscale of graphesthesia was significantly higher in the DS group compared to the HC and NDS groups (P<0.001, P<0.001, respectively). Subscale score of graphesthesia was also significantly higher in the NDS group compared with the HC group (P=0.04). There was a significant difference between the groups in terms of subscale of stereognosis (F[2, 93]=46.60, P<0.001). It has been found that the subscale of stereognosis was significantly higher in the DS group compared to the HC and NDS groups (P<0.001, P<0.001, respectively). Subscale score of stereognosis was also significantly higher in the NDS group compared with the HC group (P<0.001). There was a significant difference between the groups in terms of subscale of motor tasks (F[2, 93]=93.33, P<0.001). The subscale of motor tasks was also significantly higher in the DS group compared to the HC and NDS groups (P<0.001, P<0.001, respectively). Subscale score of motor tasks was also significantly higher in the NDS group compared with the HC group (P<0.001). There was a significant difference between the groups in terms of subscale of ability to maintain posture (F[2, 93]=14.25, P<0.001). The subscale of ability to maintain posture was significantly higher in the DS group compared to the HC and NDS groups (P<0.001, P<0.001, respectively). Subscale score of ability to maintain posture was also significantly higher in the NDS group compared with the HC group (P=0.007). There was a significant difference between the groups in terms of subscale of ability to tap on a smooth rhythm (F[2, 93]=10.25, P<0.001). In post hoc analyses it has been found that the subscale of ability to tap on a smooth rhythm was significantly higher in the DS group compared to the HC group (P<0.001). Subscale score of ability to tap on a smooth rhythm was also significantly higher in the NDS group compared with the HC group (P=0.005). The score of ability to tap on a smooth rhythm was similar between DS and NDS groups. There was a significant difference between the groups in terms of subscale of string test (F[2, 93]=5.74, P=0.04). It has been found that the subscale of string test was significantly higher in the DS group compared to the HC group (P<0.03). There was no significant difference between the HC and NDS, and DS and NDS groups (P=0.19, P=0.12, respectively). The summary of these results are presented in Table 2.

Table 2 Comparison of total PANESS score and subscales between groups

	HC (n=30)	NDS (n=42)	DS (n=24)	Statistic
PANESS	34.66±0.92	80.92±10.34	137.95±6.63	F(2, 93)=123.34, P<0.001
Synergy	8.16±0.37	18.75±4.36	34.29±17.82	F(2, 93)=51.96, P<0.001
Graphesthesia	8.28±0.39	11.68±3.86	28.12±10.86	F(2, 93)=83.00, P<0.001
Stereognosis	4.1±0.30	9.73±3.11	14.50±6.77	F(2, 93)=46.60, P<0.001
Motor tasks	0.23±0.12	16.58±3.80	25.04±12.79	F(2, 93)=93.33, P<0.001
Ability to maintain posture	7.00±0.01	9.14±1.95	18.00±5.16	F(2, 93)=14.25, P<0.001
Ability to tap on a smooth rhythm	6.10±0.30	13.34±8.65	17.25±7.71	F(2, 93)=10.25, P<0.001
String test	1.00±0.01	1.41±0.92	1.91±0.55	F(2, 93)=5.74, P=0.04

Notes: Significant P-values are presented in bold. Data presented as mean ± standard deviation.

Abbreviations: DS, deficit schizophrenia; HC, healthy control; NDS, non-deficit schizophrenia; PANESS, Physical and Neurological Examination for Soft Signs.

In the general linear model, total PANESS score and its subscores were regarded as dependent variables and age of onset and duration of illness were included to model as covariates. Because HC group did not have variants of age of onset and duration of illness, total PANESS score and its subscores were compared between the DS and NDS groups. Total PANESS score, score of synergy, score of graphesthesia, score of stereognosis, score of motor tasks, and score of ability to maintain posture were found to be significantly higher in the DS group compared with the NDS group (F[1, 61]=96.97, P<0.001; F[1, 61]=23.03, P<0.001; F[1, 61]=68.53, P<0.001; F[1, 61]=96.97, P<0.001; F[1, 61]=16.01, P<0.001; F[1, 61]=96.97, P<0.001, respectively). The scores of ability to tap on a smooth rhythm and string test were similar between the DS and NDS groups (F[1, 61]=0.84, P<0.36; F[1, 61]=1.79, P<0.18, respectively). The results of the comparison of PANESS scores between the NDS and DS did not change after age of onset and duration of illness were regarded as covariates.

In performing the regression analysis, diagnosis of NDS and diagnosis of DS were set as dependent variables and total PANESS score and its subscales were determined as co-variated. Diagnosis of DS was predicted significantly by total PANESS score and the synergy, graphesthesia, stereognosis, motor tasks, and ability to maintain posture subscales were found to be significant predictors (Table 3).

Table 3 Logistic regression analysis of neurological soft signs for the diagnosis of DS and NDS

Variable	OR	P-value	95% CI
PANESS	9.480	<0.001	0.00–4.560
Synergy	1.130	<0.001	1.057–1.210
Graphesthesia	1.370	<0.001	1.162–1.680
Stereognosis	1.302	0.002	1.150–1.535
Motor tasks	1.233	0.001	1.087–1.397
Ability to maintain posture	1.697	<0.001	1.321–2.180
Ability to tap on a smooth rhythm	0.858	0.06	0.919–0.999
String test	0.585	0.08	0.212–0.414

Note: Significant P-values are presented in bold.

Abbreviations: DS, deficit schizophrenia; NDS, non-deficit schizophrenia; PANESS, Physical and Neurological Examination for Soft Signs; OR, odds ratio; CI, confidence interval.

Discussion

The results of our study indicated that total PANESS score was significantly higher in the DS group compared to the NDS and HC groups. In addition, the scores of all PANESS subscales were significantly higher in the DS group than in the HC group. The NDS group also had a higher total PANESS score than the HC group, and higher scores in all subscales except the string test subscale. In performing the regression analysis, total PANESS score and most of the sub-scale scores were found to be significant predictors for DS.

NSS are considered to be state and trait characteristics of patients with schizophrenia.^21–23 Previous studies have investigated NSS in drug-naïve, first-episode schizophrenia patients and chronic, medicated schizophrenic patients. According to a recent meta-analysis by Bachmann et al, NSS may be used to monitor disease progression or to identify subjects with an increased tendency toward schizophrenia in general.¹⁰

Although NSS have been well established in patients with schizophrenia, the number of studies that have compared NSS between DS and NDS patients is limited. Most of the studies concluded that total and subscale PANESS scores were higher in patients with DS.^24–28 However, the studies mentioned conducted comparisons in chronic and medicated patients, and most of them did not include HCs. To our knowledge, there is only one study that has researched NSS in drug-naïve, first-episode DS and NDS patients. In that study, Peralta et al reported that drug-naïve, first-episode deficit patients had more NSS compared with NDS patients.²⁹ To date, only one Turkish study has researched and compared NSS in DS and NDS patients. In that study, Turkish DS patients were reported to have higher scores in terms of NSS.²⁸ However, HCs were not included in the study.

The concept of endophenotype refers to a heritable and measurable component or trait that is assumed to be directly attributable to the underlying biology of a disorder and that can be accepted as a risk factor for it.³⁰ Recent discussions about the concept have drawn a line between “risk indicator models” and “mediation models”.³¹ Mediation models assume that the causal pathway from genetic risk to explicit disorder passes exclusively through the endophenotype.³¹ Because we compared groups cross-sectionally in terms of NSS severity, it is plausible to assess the results of our study in the context of mediation models. As it is not a longitudinal observational study, the results cannot be interpreted in a manner that identifies NSS as a risk indicator.

Some criteria have been established for a biomarker to be accepted as an endophenotype.³² These criteria include segregation of the disorder in the population, heritability, independent nature of the state of the disorder, co-segregation of the disorder in families, high rate of prevalence in affected families, specificity for the disorder, and measurability.

Until recently, the most studied and strongest endophenotype candidates for schizophrenia were lack of sensory gating, decline in working memory, and prepulse inhibition. While they seem to be consistent findings in schizophrenic populations, they do not meet the criteria to be an exact phenotype.³⁰

Our results are in line with those of studies that reported higher NSS in DS patients compared to NDS patients. Regarding the heterogeneity of schizophrenia and the variable results of the studies that have investigated NSS in patients with schizophrenia, it can be concluded that NSS might be a powerful candidate for an endophenotype for DS. Our study is neither detailed enough nor adequate for determining whether or not NSS meet all the criteria to be an endophenotype. Nevertheless, the criteria of measurability and segregation or increased coexistence with the disorder are met, while further research is needed for the other criteria.

Because the contemporary classification systems in psychiatry are more focused on clinical descriptions of disorders, neurobiological and genetic studies regarding psychiatric disorders remain inadequate. Endophenotype research may be beneficial to meeting the challenge of establishing a more biologically based classification system and understanding the variable symptoms in a more systematic manner.

The lack of a significant difference between the DS and NDS groups in terms of BPRS mean scores is also a remarkable result of our study. This finding implies that DS patients have been suffering from the disease as much as NDS patients. Having predominantly negative symptoms does not mean that the disease is less severe, and having more positive symptoms must not be assumed to be an indicator of disease severity. This finding also supports the idea that DS is not an amelioration state during the course of the illness, and that DS can be accepted as a subtype of schizophrenia.

Our study has some limitations. First, all of our patients were under treatment. We suggest that the best way to investigate an endophenotype is in drug-naïve, first-episode patients. Because of the strict inclusion and exclusion criteria, we could not include a large number of patients in the present study. We consider this issue to be another limitation.

In conclusion, we argue that NSS could be a good endophenotype candidate in patients with DS. However, multicenter studies with larger sample populations are needed to clarify whether NSS has a place as an endophenotype in DS.

Acknowledgments

This research was presented as a poster at the World Biological Psychiatry Congress, 2015, Athens. This study was not supported financially by any organization.

Disclosure

The authors report no conflicts of interest in this work.