Network analysis of cognitive, oculomotor and speech parameters in schizophrenia

Shmukler A.B.

Serbsky National Medical Research Center of Psychiatry and Narcology

Kostyuk G.P.

Alekseev Psychiatric Clinical Hospital No. 1

SPIN RSCI: 3424-4544
Scopus AuthorID: 57200081884
ORCID: 0000-0002-3073-6305

Latanov A.V.

Lomonosov Moscow State University

Sidorova M.Yu.

Lomonosov Moscow State University

Anisimov V.N.

Lomonosov Moscow State University

Zakharova N.V.

Alekseev Moscow Psychiatric Hospital No. 1

Karyakina M.V.

Serbsky National Medical Research Center of Psychiatry and Narcology

Reznik A.M.

Moscow State University of Food Production

Sokolov A.V.

Alekseev Psychiatric Clinical Hospital No. 1

Spektor V.A.

Serbsky National Medical Research Center of Psychiatry and Narcology

Sukhachevskii I.S.

Serbsky National Medical Research Center of Psychiatry and Narcology

Churikova M.A.

Lomonosov Moscow State University

Network analysis of cognitive, oculomotor and speech parameters in schizophrenia

Authors:

Shmukler A.B., Kostyuk G.P., Latanov A.V., Sidorova M.Yu., Anisimov V.N., Zakharova N.V., Karyakina M.V., Reznik A.M., Sokolov A.V., Spektor V.A., Sukhachevskii I.S., Churikova M.A.

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Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2020;120(6‑2): 54‑60

DOI: 10.17116/jnevro202012006254

Read: 2151 times

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To cite this article:

Shmukler AB, Kostyuk GP, Latanov AV, et al. . Network analysis of cognitive, oculomotor and speech parameters in schizophrenia. S.S. Korsakov Journal of Neurology and Psychiatry. 2020;120(6‑2):54‑60. (In Russ.)
https://doi.org/10.17116/jnevro202012006254

Подписка 2025-2 (S.S. Korsakov Journal of Neurology and Psychiatry (special issues))

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OBJECTIVE

To determine the network connections between clinical, cognitive, speech and oculographic parameters in patients with schizophrenia.

MATERIAL AND METHODS

The study included 104 patients with schizophrenia and schizophrenia spectrum disorders and 70 healthy subjects. Clinical assessment of the patients was performed using a number of scales: PANSS, CDSS, YMRS, SAS and BAS. Basic cognitive functions were assessed by BACS. Eye movements were recorded using the SMI RED-500 non-invasive eye tracking system. Several experimental paradigms were used — free viewing of animal images with subsequent description of these images, performing progressive saccades in the experimental Go/NoGo scheme, and performing anti-saccades.

RESULTS

The severity of clinical symptoms, cognitive impairments, oculomotor parameters and characteristics of speech structure of written speech are largely independent, although not completely isolated from each other. Cognitive and oculomotor parameters have the largest number of connections. In this case, the results of cognitive tests are the central element of the «network» that connects other groups.

CONCLUSION

Further development of the approach should be aimed at studying the influence of node changes on the structure of the network that would potentially allows the identification of the most effective points of application of therapeutic and rehabilitation programs.

Keywords:

schizophrenia

cognitions

speech

eye tracking

network analysis

Authors:

Shmukler A.B.

Serbsky National Medical Research Center of Psychiatry and Narcology

Kostyuk G.P.

Alekseev Psychiatric Clinical Hospital No. 1

SPIN RSCI: 3424-4544
Scopus AuthorID: 57200081884
ORCID: 0000-0002-3073-6305

Latanov A.V.

Lomonosov Moscow State University

Sidorova M.Yu.

Lomonosov Moscow State University

Anisimov V.N.

Lomonosov Moscow State University

Zakharova N.V.

Alekseev Moscow Psychiatric Hospital No. 1

Karyakina M.V.

Serbsky National Medical Research Center of Psychiatry and Narcology

Reznik A.M.

Moscow State University of Food Production

Sokolov A.V.

Alekseev Psychiatric Clinical Hospital No. 1

Spektor V.A.

Serbsky National Medical Research Center of Psychiatry and Narcology

Sukhachevskii I.S.

Serbsky National Medical Research Center of Psychiatry and Narcology

Churikova M.A.

Lomonosov Moscow State University

Received:

17.03.2020

Accepted:

13.04.2020

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