Hippocampal Volume Is Reduced in Schizophrenia and Schizoaffective Disorder But Not in Psychotic Bipolar I Disorder Demonstrated by Both Manual Tracing and Automated Parcellation (FreeSurfer)
Open Access
- 20 February 2014
- journal article
- research article
- Published by Oxford University Press (OUP) in Schizophrenia Bulletin
- Vol. 41 (1), 233-249
- https://doi.org/10.1093/schbul/sbu009
Abstract
This study examined hippocampal volume as a putative biomarker for psychotic illness in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) psychosis sample, contrasting manual tracing and semiautomated (FreeSurfer) region-of-interest outcomes. The study sample ( n = 596) included probands with schizophrenia (SZ, n = 71), schizoaffective disorder (SAD, n = 70), and psychotic bipolar I disorder (BDP, n = 86); their first-degree relatives (SZ-Rel, n = 74; SAD-Rel, n = 62; BDP-Rel, n = 88); and healthy controls (HC, n = 145). Hippocampal volumes were derived from 3Tesla T1-weighted MPRAGE images using manual tracing/3DSlicer3.6.3 and semiautomated parcellation/FreeSurfer5.1,64bit. Volumetric outcomes from both methodologies were contrasted in HC and probands and relatives across the 3 diagnoses, using mixed-effect regression models (SAS9.3 Proc MIXED); Pearson correlations between manual tracing and FreeSurfer outcomes were computed. SZ ( P = .0007–.02) and SAD ( P = .003–.14) had lower hippocampal volumes compared with HC, whereas BDP showed normal volumes bilaterally ( P = .18–.55). All relative groups had hippocampal volumes not different from controls ( P = .12–.97) and higher than those observed in probands ( P = .003–.09), except for FreeSurfer measures in bipolar probands vs relatives ( P = .64–.99). Outcomes from manual tracing and FreeSurfer showed direct, moderate to strong, correlations ( r = .51–.73, P < .05). These findings from a large psychosis sample support decreased hippocampal volume as a putative biomarker for schizophrenia and schizoaffective disorder, but not for psychotic bipolar I disorder, and may reflect a cumulative effect of divergent primary disease processes and/or lifetime medication use. Manual tracing and semiautomated parcellation regional volumetric approaches may provide useful outcomes for defining measurable biomarkers underlying severe mental illness.Keywords
This publication has 83 references indexed in Scilit:
- Long-term Antipsychotic Treatment and Brain VolumesArchives of General Psychiatry, 2011
- Grey matter and cognitive deficits in young relatives of schizophrenia patientsNeuroImage, 2011
- Hippocampal Interneurons in Bipolar DisorderArchives of General Psychiatry, 2010
- Antipsychotic Dose Equivalents and Dose-Years: A Standardized Method for Comparing Exposure to Different DrugsBiological Psychiatry, 2010
- Defining the human hippocampus in cerebral magnetic resonance images—An overview of current segmentation protocolsNeuroImage, 2009
- Differential Targeting of the CA1 Subfield of the Hippocampal Formation by Schizophrenia and Related Psychotic DisordersArchives of General Psychiatry, 2009
- Selective effect of age, Apo e4, and Alzheimer's disease on hippocampal subfieldsHippocampus, 2009
- A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumesNeuroImage, 2009
- Integrating Memories in the Human Brain: Hippocampal-Midbrain Encoding of Overlapping EventsNeuron, 2008
- Cortical Surface-Based Analysis: I. Segmentation and Surface ReconstructionNeuroImage, 1999