Keywords: Psychiatric Disorders, Brain, thalamic nuclei
Motivation: Schizophrenia is characterized by high heterogeneity, with the core symptom of cognitive impairment. However, it is unclear that whether the patterns of thalamic nuclei volume alterations is associated with cognitive function in schizophrenia.
Goal(s): To investigate the pattern and heterogeneity of thalamic nuclei alterations and cognition in schizophrenia.
Approach: The cluster analysis (K-means++) was used to identify the subtype of schizophrenia. And machine learning model was developed to validate the reproducibility of subtypes.
Results: We uncovered two markedly distinct neuroanatomical subtypes of schizophrenia. One of the subtypes characterized as widespread decrease in thalamic nuclei and severe cognition deficit.
Impact: These findings could help to identify biological targets related to the treatment of schizophrenia, and improve the functional outcomes in patients with schizophrenia.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords