OBJECTIVE: The goal of this study was to characterize the hippocampal formation in patients with schizophrenia by measuring neuron density, neuron size, and variability of neuronal axis orientation. METHOD: Brain tissue was obtained at autopsy from 14 prospectively accrued elderly patients with chronic schizophrenia and 10 age-compatible individuals without psychiatric disorder. Eight hippocampal regions of interest and two internal control regions (primary motor and visual cortices) were identified on Nissl-stained sections. Morphometric measurements were made without knowledge of diagnosis by means of a computer-based image analysis system. RESULTS: The patients exhibited smaller neuron size in the hippocampal regions relative to the control regions, which was significant only for the subiculum, CA1, and layer II of the entorhinal cortex. Neuron size in the control regions was nearly identical in the two groups. No significant differences in neuron density or in variability of neuronal axis orientation were identified for any region. There was no correlation between neuron size in any area and several potentially confounding variables (age, post-mortem interval, neuroleptic exposure, sex, brain hemisphere studied, duration of illness), with the exception of a negative correlation with age in layer II of the entorhinal cortex. Regression analyses indicated that the findings could not be attributed to these age effects. CONCLUSIONS: The subiculum, entorhinal cortex, and CA1 are the major subfields of the hippocampal region that maintain the afferent and efferent connections of the hippocampus with widespread cortical and subcortical targets. The smaller size of neurons in these subfields may reflect the presence of structural or functional impairments that disrupt these connections, which in turn could have important behavioral sequelae.
OBJECTIVE: The goal of this study was to characterize the hippocampal formation in patients with schizophrenia by measuring neuron density, neuron size, and variability of neuronal axis orientation. METHOD: Brain tissue was obtained at autopsy from 14 prospectively accrued elderly patients with chronic schizophrenia and 10 age-compatible individuals without psychiatric disorder. Eight hippocampal regions of interest and two internal control regions (primary motor and visual cortices) were identified on Nissl-stained sections. Morphometric measurements were made without knowledge of diagnosis by means of a computer-based image analysis system. RESULTS: The patients exhibited smaller neuron size in the hippocampal regions relative to the control regions, which was significant only for the subiculum, CA1, and layer II of the entorhinal cortex. Neuron size in the control regions was nearly identical in the two groups. No significant differences in neuron density or in variability of neuronal axis orientation were identified for any region. There was no correlation between neuron size in any area and several potentially confounding variables (age, post-mortem interval, neuroleptic exposure, sex, brain hemisphere studied, duration of illness), with the exception of a negative correlation with age in layer II of the entorhinal cortex. Regression analyses indicated that the findings could not be attributed to these age effects. CONCLUSIONS: The subiculum, entorhinal cortex, and CA1 are the major subfields of the hippocampal region that maintain the afferent and efferent connections of the hippocampus with widespread cortical and subcortical targets. The smaller size of neurons in these subfields may reflect the presence of structural or functional impairments that disrupt these connections, which in turn could have important behavioral sequelae.
Authors: John H Krystal; D Cyril D'Souza; Daniel Mathalon; Edward Perry; Aysenil Belger; Ralph Hoffman Journal: Psychopharmacology (Berl) Date: 2003-09-02 Impact factor: 4.530
Authors: Maria Angelique Di Biase; Vanessa L Cropley; Luca Cocchi; Alexander Fornito; Fernando Calamante; Eleni P Ganella; Christos Pantelis; Andrew Zalesky Journal: Schizophr Bull Date: 2019-06-18 Impact factor: 9.306
Authors: J G Csernansky; S Joshi; L Wang; J W Haller; M Gado; J P Miller; U Grenander; M I Miller Journal: Proc Natl Acad Sci U S A Date: 1998-09-15 Impact factor: 11.205
Authors: Aine M Duffy; Michael J Schaner; Synphen H Wu; Agnieszka Staniszewski; Asok Kumar; Juan Carlos Arévalo; Ottavio Arancio; Moses V Chao; Helen E Scharfman Journal: Exp Neurol Date: 2011-03-16 Impact factor: 5.330
Authors: Mirna Kvajo; Heather McKellar; P Alexander Arguello; Liam J Drew; Holly Moore; Amy B MacDermott; Maria Karayiorgou; Joseph A Gogos Journal: Proc Natl Acad Sci U S A Date: 2008-05-05 Impact factor: 11.205