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Schizophrenia: The Quest for a Minimum Sense of Identity to Ward Off Delusional Disorder
Marie-Christine Noël-Jorand, Max Reinert, Sébastien Giudicelli, Daniel Dassa

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Diabetes, Tardive Dyskinesia, Parkinsonism, and Akathisia in Schizophrenia: A Retrospective Study Applying 1998 Diabetes Health Care Guidelines to Antipsychotic Use
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Brief Communication

Schizophrenia: The Quest for a Minimum Sense of Identity to Ward Off Delusional Disorder

Marie-Christine Noël-Jorand, DE, PhD1, Max Reinert, PhD2, Sébastien Giudicelli, MD3, Daniel Dassa, Ph.D, MD4

 

Objective: This study was designed to analyze the language of patients with schizophrenia exhibiting negative symptoms during a 3-month period.

Method: The computer-assisted ALCESTE method was used to simultaneously analyze the subjects’ oral behaviour and speech patterns at various levels.

Results: The tested subjects had very specific speech patterns. Most significantly, analysis of the underlying syntactic processes showed that the patients exhibited a sense of identity, however minimum, based on their own pathologies and on the surrounding world. In our previous study, no such characteristics were observed in the discourse of schizophrenia patients with delusions (exhibiting positive symptoms). This suggests that the minimum sense of identity that develops in patients with schizophrenia allows them to avoid positive symptoms.

Conclusion: In studies of language production by subjects suffering from schizophrenia, it is necessary to distinguish between patients with positive symptoms and those with negative symptoms. The speech patterns of these 2 groups have to be analyzed separately, which has not been done previously, since the groups differ in too many respects.

(Can J Psychiatry 2004;49:394-397)

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Clinical Implications

  • This study analyzes the structure of speeches or texts at various levels (for example, planning and cohesion) from subjects with or without communication disorders.

  • The analysis indicates that some of the personality traits of speakers or writers are linked to their oral behaviour.

  • The ALCESTE method is based on the analysis of a large quantity of material (for example, lectures and works of French literature, such as those by Nerval, Raimbaud, Hugo, Corneille, and Molière).

Limitations

  • Discourse analysis is performed on homogeneous language material only. In some cases, the textual analysis has to be performed subject by subject and not on a group of subjects, such as subjects with mental disorders (psychosis).

  • The ALCESTE method cannot treat a small quantity of language material.

  • The ALCESTE method is a sophisticated tool and requires experts to administer.

Key Words: schizophrenia, negative symptoms, speech, language, discourse analysis, ALCESTE method, sense of identity

Résumé : Schizophrénie : la quête d’un sentiment d’identité minimal pour contrer le trouble délirant

Language lies at the confluence of the biological, physiological, psychological, and social processes underlying human behaviour. Recently, some developments in the cognitive and linguistic sciences have contributed to better understanding language in either normal subjects or subjects with language communication disorders, such as some people with psychosis (1,2). Improvements in data analysis techniques and artificial intelligence technology have led to the development of advanced methods for investigating language, mainly regarding the structure of speech. In the context of psychosis, the term schizophrenia is used to designate a group of disorders with several common features involving a wide range of behavioural differences; it is not a single pathological entity with a well-defined series of symptoms. Language, which is unique to each individual, can reflect how patients cope with their disease. The aim of this preliminary study was to describe and analyze the main characteristics and patterns of discourse from people with the disorganized type of schizophrenia who exhibited prominent negative symptoms (3,4).

Method

Using the ALCESTE computer-assisted method, a discourse analysis was performed on 24 one-hour free-speech recordings of 3 patients (5–7). The recordings were made by the same therapist with the patients’ informed prior consent during a 3-month period. The ALCESTE method is based on a top-down hierarchical classification program that selects classes of vocabulary, each defined by a pool of words that are mathematically linked together and occur most frequently, that is, those that the speaker tends to repeat (5–7). These classes subscribe to different types of discourse, each of which shows a specific set of vocabulary and syntax. In each class, the mathematically linked words then support some descriptions, ideas, or thoughts that also link, allowing us to make some correlations.

Results and Discussion

The rate of occurrence of words from the 24 one-hour free-speech samples of the schizophrenia patients with negative symptoms was reduced in comparison with the language production of either normal subjects or schizophrenia patients with positive symptoms, based on a prior analysis of the same number of free-speech sessions using the same ALCESTE method (8–10). The language production of schizophrenia patients with negative symptoms is restricted, as has been shown previously (3,11). No unknown terms (neologisms or agrammaticisms) occurred, as was previously reported in schizophrenia patients with positive symptoms (3,9,10, 12,13). During the 3-month period of speech-pattern recording, only 2 topics emerged. This poverty of content is not seen in the discourse of normal subjects or schizophrenia patients with positive symptoms (8–10). Various ratios between word categories (such as verb–adjective and noun–adjective), markers of the person (personal, possessive, demonstrative, or relative pronouns), and some linguistic markers (such as markers of the relationship between speaker and listener) were as high in patients with negative symptoms as in those patients with positive symptoms and in normal subjects (8,9). The patients with schizophrenia could communicate at least orally with other subjects. The patients’ various types of discourse were always quite coherent and understandable to the listener. Some speech patterns reported elsewhere were not seen (3,13).

One type of discourse found in each of the 3 patients focused mainly on various members of the patient’s family and people linked to the patients’ life. The speech samples were unsophisticated, with no metaphors or imaginary ideas: it was a linear metonymic language. The language did not show any impairments or confusion: it was poor but correct. Patients seemed to communicate efficiently and easily with their listeners, without any of the communication disturbances or disorganization of the speech mentioned by various authors in connection with schizophrenia (3,12,13). Patients also did not show any deficits in the planning, cohesion, or self- monitoring of discourse, contrary to what has been observed in the case of people with schizophrenia who had positive symptoms (9). Regarding syntax, various family members were the subjects of discourse via the nominative and possessive third-person pronouns. Patients did not talk about themselves.

A second topic consisted of the patients’ diseases, their treatments, the hospital environment, and their present circumstances. Here, mainly first-person pronouns were used. The patients presented themselves clearly as the subjects of their discourse: “I am” and “I have” (Table 1). They succeeded in staying in the present when talking about their diseases, symptoms, and treatments (using for example, such words as anguish, insomnia, suicide, nervy, injury, admission to hospital, rescue squad, take care, injection, and various medicinal terms). The main feature of this discourse was that the patients acquired a place by speaking about their own mental disorders. Some sense of identity, however minimum, seems to be achieved in this way by subjects suffering from all kinds of mental or other pathologies. The finding that a possible feeling of identity is reflected in the discourse of a person with schizophrenia is of great importance, since this characteristic was observed in the speech of normal subjects in previous studies but not in that of schizophrenia patients with delusions who had delirious speech patterns (8–10). This suggests that the minimum sense of identity produced by the disease itself enables patients to avoid positive symptoms, particularly delusions.

Table 1  List of the most significant content and function words (semantic and syntax) with the highest frequency of occurrence from the discourse of a patient with schizophrenia and negative symptoms: significant c2 rating  > 2.1 

Content words 

c2 

Content words 

c2 

Content words 

c2 

Function words 

c2 

General 

     Hours 

     Sleep 

     Doctor (of medicine) 

     Dassa (name of an MD) 

     Wake up 

     Anguish 

     Asleep 

     Nervy (be nervy) 

     Appointment 

     Look at 

     Habit, practice 

     Medical student 

     Why 

     Rescue squad 

     Injury 

     Drop 

     After 

     Cigarette 

     Hospital 

     Admission (to hospital) 

     Take care, look after 

     Fit, attack 

     Shake with 

     Sleeplessness, insomnia 

     Nightmarish 

     Neither, nor 

     Invalid 

     Cry 

     Suicide 

     Be bored 

 

70.77 

66.88 

56.22 

47.54 

32.48 

30.13 

15.97 

13.58 

13.58 

12.06 

11.13 

10.85 

9.91 

9.48 

9.48 

9.48 

9.45 

9.23 

9.21 

8.12 

8.12 

8.12 

8.12 

8.12 

7.49 

7.41 

6.33 

5.76 

5.35 

5.35 

General (continued) 

     Apologize 

     Pain 

     Tell 

     When 

 

Entertainment 

     TV (television) 

     Video recorder 

     Film 

 

Days and parts of days 

     Morning 

     Evening 

     Night 

     Friday 

     Weekend 

     Quarter of an hour 

     Week 

     Afternoon 

     Wednesday 

     Yesterday 

     Tuesday 

     Midight 

 

Numbers 

     8 

     12 

     11 

     6 

     4 

 

5.35 

5.31 

5.28 

5.13 

  

12.05 

6.76 

5.76 

 

 

37.28 

24.85 

23.38 

14.95 

9.29 

9.26 

6.95 

6.76 

6.76 

6.55 

5.41 

5.41 

  

15.44 

5.41 

4.59 

3.76 

2.50 

Treatment or medicine 

     Medicine 

     Take (medicine) 

     Treatment 

     Eqanyl 

     Mepronezine 

     Dose 

     Wafer 

     Rohypnol 

     Theralene 

     Antidote 

     Tranxene 

     Akineton 

     Check up 

     Prescription 

     Capsule (of medicine) 

     Tercian 

     Block (of medicine) 

     Test (medical) 

     Blood pressure 

     Inject, injection 

     Take blood sample 

 

Drinks 

     Coffee 

     Alcohol 

     Drink 

     Coca-cola 

 

71.80 

33.91 

27.01 

18.56 

17.69 

16.31 

13.58 

12.21 

8.12 

8.12 

8.12 

8.12 

8.12 

5.76 

6.76 

5.41 

5.41 

5.41 

5.41 

5.41 

5.35 

  

15.32 

11.13 

9.38 

5.41 

Myself 

(I) am 

(I) have 

(I) should be 

(I) was 

You 

They 

23.29 

17.01 

15.36 

7.76 

4.09 

4.01 

2.76 

2.11 

Conclusion

In studies of the language production of subjects suffering from schizophrenia, it is necessary to distinguish between patients with positive symptoms and those with negative symptoms. Their speech patterns have to be analyzed separately, which has not been the case up to now, since they differ in too many respects.


Funding and Support

This research was supported by grant # ACI COGNITIQUE, COG 13b of the French Ministère de la Recherche et de la Technologie.

References

1. Thomas P, Fraser W. Linguistics, human communication and psychiatry. Br J Psychiatry 1994;65:585–92.

2. Goldberg T, Weinberger D. Thought disorder in schizophrenia: a reappraisal of older formulations and overview of some recent studies. Cogn Neuropsychiatry 2000;74:1–19.

3. Andreasen NC, Flaum M. Schizophrenia: the characteristic symptoms. Schizophr Bull 1991;17:27–49.

4. American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 4th ed. Washington (DC): American Psychiatric Association Press; 1994.

5. Benzécri JP. Pratique de l’analyse des données : linguistique et lexicologie. Paris: Dunod; 1981.

6. Reinert M. Classification hiérarchique descendante: un algorithme pour le traitement des tableaux logiques de grandes dimensions. In: Diday E, Escoufier Y, Lebart L, Pages J, Schektman Y, Tomassone R, editors. Proceedings of the 4th international symposium on data analysis and informatics; 1985 Oct 9–11; Versailles (France). Amsterdam: North-Holland; 1986. p 23–8.

7. Noël-Jorand MC, Reinert M. Comparison of textual analysis applied to two lectures written three years apart by the same author: the language satellites. Psychol Rep 2003;92:449–67.

8. Noël-Jorand MC, Reinert M, Bonnon M, Therme P. Discourse analysis and psychological adaptation to high altitude hypoxia. Stress Med 1995;11:27–39.

9. Noël-Jorand MC, Reinert M, Giudicelli S, Dassa D. A new approach to discourse analysis in psychiatry, applied to schizophrenic patient speech. Schizophr Res 1997;25:183–98.

10. Noël-Jorand MC, Reinert M, Giudicelli S, Dassa D. Structure mathématique du langage : l’analyse distributionnelle. Nouvelle approche dans l’analyse de discours en psychiatrie. Ann Psychiatr 1997;12:245–57.

11. Barch DM, Berenbaum H. The effects of language production manipulations on negative thought disorder and discourse coherence disturbances in schizophrenia. Psychiatry Res 1997;71:115–27.

12. Chaika E. Understanding psychotic speech: beyond Freud and Chomsky. Sringfield (IL): Charles C Thomas; 1990. p 310.

13. Rochester SR, Martin JR. Crazy talk: a study of the discourse of schizophrenic speakers. New York: Plenum Press; 1979.

Author(s)

Manuscript received June 2003, revised, and accepted July 2003.

1. Associate Professor, Biomathematics and Statistics Department, Timone University, Medical School of Marseilles, Marseilles, France.

2. Engineer-Researcher, CNRS ESA-8085, Mathematics and Sociology, Versailles-St-Quentin University, Versailles, France.

3. Professor, Psychiatric Department, Timone Hospital, Marseilles, France.

4. Staff Psychiatrist, Psychiatric Department, Timone Hospital, Marseilles, France.

Address for correspondence: Dr M-C Noël-Jorand, Département de Biomathématiques, Statistiques et Informatique Médicale, Faculté de Médecine-la-Timone, 27 boulevard Jean Moulin, 13385 Marseille Cedex 5, France

e-mail: marie-christine.noel-jorand@medecine.univ-mrs.fr

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