A diagnostic Venn diagram; a conceptual review on overlapping diagnoses between schizophrenia spectrum disorders and autism spectrum disorders and state-of-the-art approaches on how to tackle them

Michail, Emily Iliana (2023) A diagnostic Venn diagram; a conceptual review on overlapping diagnoses between schizophrenia spectrum disorders and autism spectrum disorders and state-of-the-art approaches on how to tackle them. Master's Thesis / Essay, Behavioural and Cognitive Neurosciences.

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Abstract

Through the years the field of psychiatry has strived to update diagnostic tools and research approaches to cater to one of the most challenging practices: understanding the human brain. In recent years attention has been directed to the concept of overlapping diagnoses and comorbidity, which calls for diagnostic and treatment approaches that oftentimes answer to a patient-specific set of symptoms (Jutla et al., 2022). The agreed list of symptoms is exhaustive, and considering the vast possibilities of combinations, the utilization of predefined clusters of criteria has made accurate diagnosis and personalized treatment a major challenge (Michelini et al., 2021). Modern tools strive to introduce continuum-based methods that approach disorders as points on a spectrum, rather than a predefined set of textbook symptoms (Michelini et al., 2021). In the present review, the example of schizophrenia spectrum disorders and autism spectrum disorders, is used to demonstrate such a case of disorders that are cited in literature as to having, to an extent, overlapping phenotypes and shared molecular patterns (Jutla et al., 2021). The question of whether these two spectrums can be merged into one diverse continuum will be addressed through a careful revision of existing literature. Furthermore, state-of-the-art attempts of new diagnostic and research tools are discussed in the context of the two aforementioned disorders (Morris-Rosendahl & Crocq, 2020).

Item Type:	Thesis (Master's Thesis / Essay)
Supervisor name:	Kas, M.J.H.
Degree programme:	Behavioural and Cognitive Neurosciences
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	02 Aug 2023 09:32
Last Modified:	02 Aug 2023 09:32
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/30887

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