Subcortical Structures in Demented Schizophrenia Patients: A Comparative Study.
Juan RivasSantiago Gutierrez-GomezJuliana Villanueva-CongoteJose LibrerosJoan Albert CamprodonMaría TrujilloPublished in: Biomedicines (2023)
There are few studies on dementia and schizophrenia in older patients looking for structural differences. This paper aims to describe relation between cognitive performance and brain volumes in older schizophrenia patients. Twenty schizophrenic outpatients -10 without-dementia (SND), 10 with dementia (SD)- and fifteen healthy individuals -as the control group (CG)-, older than 50, were selected. Neuropsychological tests were used to examine cognitive domains. Brain volumes were calculated with magnetic resonance images. Cognitive performance was significantly better in CG than in schizophrenics. Cognitive performance was worst in SD than SND, except in semantic memory and visual attention. Hippocampal volumes showed significant differences between SD and CG, with predominance on the right side. Left thalamic volume was smaller in SD group than in SND. Structural differences were found in the hippocampus, amygdala, and thalamus; more evident in the amygdala and thalamus, which were mainly related to dementia. In conclusion, cognitive performance and structural changes allowed us to differentiate between schizophrenia patients and CG, with changes being more pronounced in SD than in SND. When comparing SND with SD, the functional alterations largely coincide, although sometimes in the opposite direction. Moreover, volume lost in the hippocampus, amygdala, and thalamus may be related to the possibility to develop dementia in schizophrenic patients.
Keyphrases
- end stage renal disease
- magnetic resonance
- newly diagnosed
- mild cognitive impairment
- ejection fraction
- chronic kidney disease
- bipolar disorder
- peritoneal dialysis
- cognitive impairment
- prognostic factors
- multiple sclerosis
- white matter
- high resolution
- cerebral ischemia
- mass spectrometry
- blood brain barrier
- prefrontal cortex
- convolutional neural network
- subarachnoid hemorrhage