Introduction: Pediatric schizophrenia is a serious illness detrimentally effecting childhood development and adulthood morbidity. Early
identification is crucial for decreased severity of psychosis symptoms, but importantly for the morbidity of the disease.
The current identification and diagnosis of pediatric schizophrenia relies on the DSM-5-TR criteria for adult-onset schizo-
phrenia. The goal of this paper is not only reliant on psychosis symptomatology, but more understanding of pediatric
progression of schizophrenia. We want to corelate the genetic and/or blood markers with the neurophysiology and imaging
commonly done throughout the differential diagnosis of patients with psychotic symptoms.
Methods: A literature review was conducted using Rayyan Research Software to identify relevant studies. The search included terms such as “Early Onset Schizophrenia,” “Children,” “Neurophysiological Biomarkers,” “Gender Differences,” “Physiopa- thology,” “Precision Treatment,” “Genetics,” and “Neuroimaging.” Studies were screened based on their focus on pediat- ric patients with EOS, with adult studies excluded to maintain relevance to the target population.
Results: The review identified several significant genetic markers associations with specific neurophysiological biomarkers in children with EOS. These genetic markers seem to correlate with distinct neurodevelopmental patterns observed in the disorder and imaging studies. These associations suggest a potential role for these genetic markers in predicting neuro-developmental outcomes.
Conclusion: Our propose schematic protocol attempts to elucidate a targeted detection for childhood schizophrenia by combing infor- mation found on inflammatory, genetic, electrophysiology biomarkers and radiology.
Methods: A literature review was conducted using Rayyan Research Software to identify relevant studies. The search included terms such as “Early Onset Schizophrenia,” “Children,” “Neurophysiological Biomarkers,” “Gender Differences,” “Physiopa- thology,” “Precision Treatment,” “Genetics,” and “Neuroimaging.” Studies were screened based on their focus on pediat- ric patients with EOS, with adult studies excluded to maintain relevance to the target population.
Results: The review identified several significant genetic markers associations with specific neurophysiological biomarkers in children with EOS. These genetic markers seem to correlate with distinct neurodevelopmental patterns observed in the disorder and imaging studies. These associations suggest a potential role for these genetic markers in predicting neuro-developmental outcomes.
Conclusion: Our propose schematic protocol attempts to elucidate a targeted detection for childhood schizophrenia by combing infor- mation found on inflammatory, genetic, electrophysiology biomarkers and radiology.