Cluster analysis reveals subclinical subgroups with shared autistic and schizotypal traits

Area of Science:

• Psychiatry
• Neuroscience
• Genetics

Background:

• Current autism and schizophrenia research relies on broad diagnostic categories.
• This approach hinders the identification of specific cognitive, genetic, and neural factors linked to symptom dimensions.
• Individual variations within clinical groups are often overlooked.

Purpose of the Study:

• To identify homogeneous subgroups of autistic and schizotypal traits in a subclinical population.
• To facilitate the development of more effective diagnostic and treatment strategies.
• To explore convergent and discriminant dimensions of autism and schizotypy.

Main Methods:

• Latent profile analysis was used to analyze subscale scores from an autism-schizotypy questionnaire.
• The study included 1678 subclinical adults aged 18-40 years (1250 females).

Main Results:

• Eight distinct population clusters were identified:
• High, Moderate, and Low Psychosocial Difficulties
• High, Moderate, and Low Autism-Schizotypy
• High Psychosis-Proneness
• Moderate Schizotypy.

Conclusions:

• These identified subgroups represent key dimensions of autism and schizotypy in the subclinical population.
• Examining these specific symptom subgroups is crucial for uncovering underlying genetic and neural correlates.
• This research can advance diagnostic and treatment practices for autism and schizophrenia spectrum disorders.