Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/106065
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Type: Journal article
Title: Cognitive subtypes in schizophrenia characterized by differential brain volumetric reductions and cognitive decline
Author: Weinberg, D.
Lenroot, R.
Jacomb, I.
Allen, K.
Bruggemann, J.
Wells, R.
Balzan, R.
Liu, D.
Galletly, C.
Catts, S.
Weickert, C.
Weickert, T.
Citation: JAMA Psychiatry, 2016; 73(12):1251-1259
Publisher: American Medical Association
Issue Date: 2016
ISSN: 2168-622X
2168-6238
Statement of
Responsibility: 
Danielle Weinberg, Rhoshel Lenroot, Isabella Jacomb, Katherine Allen, Jason Bruggemann, Ruth Wells, Ryan Balzan, Dennis Liu, Cherrie Galletly, Stanley V. Catts, Cynthia Shannon Weickert, Thomas W.Weickert
Abstract: Objectives: To confirm previous findings related to IQ-based subgroups of patients with schizophrenia in an independent sample and extend those findings to determine the extent to which brain volumetric differences correspond to the IQ-based subgroups. Design, Setting, and Participants: A total of 183 participants were assessed at the outpatient settings of Neuroscience Research Australia and Lyell McEwin Hospital from September 22, 2009, to August 1, 2012. Patients were classified using cluster analysis on the basis of current and premorbid IQ differences. Regional magnetic resonance imaging (MRI) brain volumes were compared among the IQ-based subgroups using analysis of covariance with intracranial volume and age as covariates. Main Outcomes and Measures: Wechsler Adult Intelligence Scale, third edition, scores; Wechsler Test of Adult Reading scores; Positive and Negative Syndrome Scale scores; and MRI brain volumes. Results: Ninety-six outpatients (mean [SD] age, 35.7 [8.4] years; age range, 18-51 years; 59 men) with schizophrenia or schizoaffective disorder and 87 healthy controls (mean [SD] age, 31.9 [8.4] years; age range, 20-50 years; 46 men) were studied. Sixty-two patients and 67 healthy controls underwent structural MRI of the brain. Cluster analyses revealed 25 putatively preserved patients (26%), 33 moderately deteriorated patients (34%), 27 severely deteriorated patients (28%), and 11 compromised patients (12%). Negative symptom scores were significantly worse in the severely deteriorated group relative to the putatively preserved group (F2,82 = 13.8, P < .001, effect size [ES] = 1.40). Patient subgroups analyzed revealed significantly reduced inferior parietal volume relative to controls (F3,113 = 9.7, P < .001, ES = 0.85-1.24). The severely deteriorated group had significantly reduced total hippocampal (mean [SEM], 8309.6 [175.0] vs 9024.0 [145.5]; P = .01), lingual gyrus (mean [SEM], 11 996.0 [531.5] vs 13 838.1 [441.9]; P = .05), and superior temporal sulcus (mean [SEM], 4697.8 [192.0] vs 5446.0 [159.6]; P = .05) gray matter volumes relative to the putatively preserved group (ES = 0.91-1.10). Conclusions and Relevance: Using an independent sample, we obtained proportions in each IQ-based subgroup that were similar to our previous work. Inferior parietal volume reduction was characteristic of schizophrenia relative to controls, and the severely deteriorated IQ group had widespread volumetric reductions. Classifying cognitive heterogeneity in schizophrenia provides a platform to better characterize the neurobiological underpinnings of the illness and its treatment.
Keywords: Schizophrenic psychology
Description: Published Online: November 9, 2016.
Rights: Copyright 2016 American Medical Association. All rights reserved.
DOI: 10.1001/jamapsychiatry.2016.2925
Grant ID: http://purl.org/au-research/grants/nhmrc/568807
http://purl.org/au-research/grants/nhmrc/1021970
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Psychology publications

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