Thalamic-insular dysconnectivity in schizophrenia: Evidence from structural equation modeling

Corrado Corradi-Dell'Acqua, Luisa Tomelleri, Marcella Bellani, Gianluca Rambaldelli, Roberto Cerini, Roberto Pozzi-Mucelli, Matteo Balestrieri, Michele Tansella, Paolo Brambilla

Research output: Contribution to journalArticlepeer-review


Structural and functional studies have shown that schizophrenia is often associated with frontolimbic abnormalities in the prefrontal and mediotemporal regions. It is still unclear, however, if such dysfunctional interaction extends as well to relay regions such as the thalamus and the anterior insula. Here, we measured gray matter volumes of five right-hemisphere regions in 68 patients with schizophrenia and 77 matched healthy subjects. The regions were amygdala, thalamus, and entorhinal cortex (identified as anomalous by prior studies on the same population) and dorsolateral prefrontal cortex and anterior insula (isolated by voxel-based morphometry analysis). We used structural equation modeling and found altered path coefficients connecting the thalamus to the anterior insula, the amygdala to the DLPFC, and the entorhinal cortex to the DLPFC. In particular, patients exhibited a stronger thalamus-insular connection than healthy controls. Instead, controls showed positive entorhinal-DLPFC and negative amygdalar-DLPFC connections, both of which were absent in the clinical population. Our data provide evidence that schizophrenia is characterized by an impaired right-hemisphere network, in which intrahemispheric communication involving relay structures may play a major role in sustaining the pathophysiology of the disease.

Original languageEnglish
Pages (from-to)740-752
Number of pages13
JournalHuman Brain Mapping
Issue number3
Publication statusPublished - Mar 2012


  • Amygdala
  • Dorsolateral prefrontal cortex
  • Entorhinal cortex
  • Structural equation modeling
  • Voxel-based morphometry

ASJC Scopus subject areas

  • Clinical Neurology
  • Anatomy
  • Neurology
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology


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