Trends in Schizophrenia Diagnosis and Treatment

Gäebel, Wolfgang; Riesbeck, Mathias; Larach, Veronica W.; Falkai, Peter; Zielasek, Jürgen

doi:10.1007/978-3-319-70554-5_35

Cited by 5 publications

(4 citation statements)

References 78 publications

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“…SZ diagnosis mostly relies on assessing behavioural manifestations of clinical symptoms and on selfreports of subjective experience. Since SZ shares symptomatic features with other disorders, diagnosis may not be straightforward [21]. Specific tools have been developed to aid diagnosis by clinicians.…”

Section: Classifying Schizophreniamentioning

confidence: 99%

“…The adjustments in the proposed ICD classification criteria are closer to the DSM-5 [25][26][27]. Adjustments in both systems over time have been based on robust phenomenological studies [21]. Despite improvements in the reliability of diagnostic systems, the complex nature of SZ itself and the controversy concerning its delimitation from other disorders represent challenges to clinical diagnosis [28].…”

Section: Classifying Schizophreniamentioning

confidence: 99%

See 1 more Smart Citation

Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls

Barros

Silva

Pinheiro

2021

Artificial Intelligence in Medicine

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Section: Classifying Schizophreniamentioning

confidence: 99%

Section: Classifying Schizophreniamentioning

confidence: 99%

Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls

Barros

Silva

Pinheiro

2021

Artificial Intelligence in Medicine

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“…The ICD-11 includes 28 chapters, with 6 chapters in addition to the old version of ICD-10. In the previous version of ICD-11, the number of groups was restricted by a decimal coding system, thus allowing a maximum of 10 pathological groups included, resulting in the loss of scientific relevance and clinical utility [16]. The organization of the ICD-10 reflects the original conceptualization of the Kraepelin Textbook of Psychiatry, but ICD-11 tries to order the diagnostic groups in chapter 06 called Mental, behavioral or neurodevelopmental disorders from a developmental perspective and brings them together diagnoses according to etiological, psychopathological, and phenomenological characteristics.…”

Section: New Trends Innovations and Changes In The Diagnosis Of Schiz...mentioning

confidence: 99%

New Directions for Symptoms and Diagnosis in Schizophrenia

Crecan-Suciu¹,

Paunescu²

2023

Schizophrenia - Recent Advances and Patient-Centered Treatment Perspectives

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Schizophrenia represents one challenging mental disorder from all the psychotic spectrum, considered to be a major health problem worldwide and because of the characteristic symptoms, the diagnosis is associated with high levels of stigmatization. It is quite common that the first acute symptoms to occur in early adult life and cause severe distress not only to the patient in need but also to their families. The schizophrenia clinical picture is usually misunderstood by the general public and consists of positive symptoms, negative symptoms, disorganized speech or behavior during a specific amount of time. In order to establish an accurate diagnosis, it requires taking into consideration both international classification systems, Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and The International Classification of diseases (ICD-10), adding a fresh perspective to the newest chapter of ICD-11 called “Schizophrenia or other primary psychotic disorders”, alongside with the diagnosis criteria, other new symptoms such as cognitive impairment emerge as an important feature of schizophrenia.

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“…The scientific community is constantly working to integrate the latest clinical and scientific advances in the field of psychiatry into diagnostic and statistical manuals. [5] However, quantifying and evaluating abnormalities in the cerebral cortex can help to understand the mechanisms of such psychotic disorders. Recent advances in the area of analysis of complexity of time series provide insights into nonlinear electroencephalogram (EEG) signals.…”

Section: Introductionmentioning

confidence: 99%

Complexity of EEG Signals in Schizophrenia Syndromes

Кутепов

Кrysko³

et al. 2019

GraphiCon'2019 Proceedings. Volume 2

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In the present study, 45 patients with schizophrenia syndromes and 39 healthy subjects are studied with electroencephalogram (EEG) signals. The study groups were of different genders. For each of the two groups, the signals were analyzed using 16 EEG channels. Multiscale entropy, Lempel-Ziv complexity and Lyapunov exponent were used to study the chaotic signals. The data were compared for two groups of subjects. Entropy was compared for each of the 16 channels for all subjects. As a result, topographic images of brain areas were obtained, illustrating the entropy and complexity of Lempel-Ziv. Lempel-Ziv complexity was found to be more representative of the classification problem. The results will be useful for further development of EEG signal classification algorithms for machine learning. This study shows that EEG signals can be an effective tool for classifying participants with symptoms of schizophrenia and control group. It is suggested that this analysis may be an additional tool to help psychiatrists diagnose patients with schizophrenia.

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Trends in Schizophrenia Diagnosis and Treatment

Cited by 5 publications

References 78 publications

Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls

Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls

New Directions for Symptoms and Diagnosis in Schizophrenia

Complexity of EEG Signals in Schizophrenia Syndromes

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