Explore the intriguing link between the absence of the interthalamic adhesion and its potential role as a marker or risk factor in neuropsychiatric disorders through our comprehensive systemic review and meta-analysis.
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Absence of the interthalamic adhesion (ITA) as a neuroanatomical association or risk factor for neuropsychiatric disorders: A systemic review and meta-analysis.
Asghar et al., Indian J Psychiatry 2023
DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_744_22
Study Summary:
The study conducted a meta-analysis to investigate the prevalence of absent interthalamic adhesion (AITA) in both healthy individuals and those with neuropsychiatric disorders. The analysis included a systematic review of literature sourced from databases such as PubMed, Web of Science, and Google Scholar. The findings revealed that AITA occurred in 15.3% of healthy subjects and 28.76% of neuropsychiatric patients. Moreover, the study found that the likelihood of AITA was 2.30 times higher in individuals with neuropsychiatric conditions. Additionally, the absence of ITA was more common in men, with healthy men and men with neuropsychiatric disorders being 1.91 and 1.82 times more likely, respectively, to have AITA compared to women.
Significance:
This research highlights a significant association between AITA and neuropsychiatric disorders, suggesting that AITA could be considered a risk factor. The study emphasizes the potential role of AITA in affecting the function of the habenula nuclear complex, which is linked to the stria medullaris thalami. The findings contribute to the understanding of the anatomical variations in the brain that may be linked to psychiatric conditions.
Contribution to Literature:
The study adds to the current literature by quantifying the frequency of AITA in different populations and establishing a stronger link between AITA and neuropsychiatric disorders. It also underscores the need for further research, such as cohort or longitudinal studies, to assess the incidence of psychiatric disorders in individuals with or without ITA and to determine the attributed risk.