Corpus callosum shape alterations in individuals prior to the onset of psychosis

https://doi.org/10.1016/j.schres.2008.04.042Get rights and content

Abstract

Reductions in the size of the anterior callosum have been described for both first-episode schizophrenia-spectrum psychosis and established schizophrenia, but have not been examined in individuals at ultra-high risk for psychosis (UHR). We compared 100 UHR individuals (27 of whom later developed psychosis) with 38 age-matched control subjects on measures of size and shape of the corpus callosum to determine if changes previously demonstrated in first-episode and established schizophrenia are present in the pre-psychotic phase. Each individual's callosum was extracted from the mid-sagittal slice from T1-weighted magnetic resonance images, and total area, length and curvature of the callosum was compared using one-way ANOVA, and 39 regional thicknesses via a non-parametric permutation method to account for non-independence of adjacent measures. Total area, length and curvature did not differ between the groups. Compared to both the UHR-NP group and controls, the UHR-P group showed significant regional reductions in the region of the anterior genu of the callosum. The UHR-NP group did not differ from controls. Positive and negative symptoms did not affect regional thickness in either of the patient groups. Cox regression showed that mean anterior genu thickness was highly predictive of a transition to psychosis. Reductions in the thickness of the anterior callosum differentiate between high-risk individuals who transition to psychosis and those who do not, and is highly predictive of transition. These changes may reflect primary pathology of orbitofrontal and medial frontal cortex, or deficits in anterior interhemispheric myelination.

Introduction

The identification of individuals, who later develop psychotic illness, whilst in the pre-psychotic phase may allow for the targeting of interventions to prevent, delay or attenuate the course of a psychotic disorder (Wyatt, 1991). This recognition of the role that early intervention may have on modifying the illness course has prompted the search for factors that may identify individuals who are at very high risk of psychotic illness (Yung et al., 1998), enabling “indicated prevention” to be undertaken in this group through intervention in the pre-psychotic phase (Mrazek and Haggerty, 1994). In 1994, the Personal Assessment and Crisis Evaluation (PACE) Clinic was established in Melbourne, Australia to facilitate prospective study of the development of psychotic illnesses, and uses a ‘close-in strategy’ to identify combinations of putative state and trait risk factors that define a target population at ‘ultra-high risk’ (UHR) of an impending psychotic episode (McGorry et al., 2001, Yung et al., 1995). This strategy has been shown to identify a group of young people with a 40% chance of developing a psychotic illness within a 12-month period (Yung et al., 2003a). Subjects receive an MRI brain scan at baseline and are followed clinically for a minimum of 1 year, and a range of neurobiological indices are measured at baseline and follow-up with the aim of identifying factors that predict a transition from the UHR phase to frank psychotic illness.

Through careful follow-up of UHR individuals in the PACE cohort, factors such as olfactory identification (Brewer et al., 2003), verbal memory and spatial working memory function (Brewer et al., 2005, Wood et al., 2003), and hypothalamic–pituitary axis function (Thompson et al., 2007) have been shown to be at least partially predictive of the transition to psychosis. Additionally, we have been able to identify a number of neuroimaging indices that differentiated patients in the UHR group who later became psychotic (UHR-P) from those who remained non-psychotic at follow-up (UHR-NP), including pituitary volume (Garner et al., 2005) and thickness of the anterior cingulate cortex (Fornito et al., 2007, Fornito et al., in press). In a longitudinal neuroimaging study that followed a group of UHR individuals from the pre-psychotic phase, we showed that those in the UHR-P group showed right medial and lateral temporal, right inferior frontal, and bilateral cingulate cortex reductions when compared to the UHR-NP group (Pantelis et al., 2003), and have also shown that accelerated grey matter loss occurs in prefrontal cortical regions from the pre-psychotic period through the transition to psychosis (Sun et al., 2007a, Sun et al., 2007b).

The common neuroanatomical origin of the majority of these indices, which appear to be strong neurocognitive and neuroimaging trait markers for the development of psychotic illness (Brewer et al., 2006, Pantelis et al., 2007), appears to be in the anterior cortex. We have recently shown that reductions in the genu of the corpus callosum are present in both first-episode and established schizophrenia patients (Walterfang et al., in press), which carry fibres that connect contralateral inferior frontal and prefrontal regions. Subtle reductions in callosal size are well-described in schizophrenia (Woodruff et al., 1995), although no studies have examined this structure in the pre-psychotic phase. Given our findings of inferior frontal reductions in those UHR individuals who later became psychotic compared to those who did not (Pantelis et al., 2003), we speculated that these anterior callosal changes seen at the first-episode of schizophrenia may be present in pre-psychotic individuals and may differentiate them from individuals identified in the UHR group who do not progress to psychosis.

Section snippets

Subjects

The ultra-high risk group (N = 100) was recruited from the Personal Assessment and Crisis Evaluation (PACE) Clinic, Melbourne, Australia (McGorry et al., 2001, Yung et al., 2003b) and had not experienced a previous psychotic episode. UHR identification criteria have been previously described (Yung et al., 2003b) and subjects were included in the study if they were between the ages of 14–30, psychotropic-naïve at study entry and had been followed up for at least 12 months in order to determine

Demographic data

When the UHR group as a whole was compared to the control group, no differences were seen in measures of age (t = 1.32, p = 0.19), although the PACE group showed a trend to having a lower IQ (t = 1.86. p = 0.07). There were no differences in gender (χ2 = 0.03, p = 0.87) and handedness (χ2 = 0.22, p = 0.89). When the UHR-P and UHR-NP groups were compared, the only significant difference was age, with the UHR-P being a mean of two years younger (t =  3.13, p < 0.005).

Major callosal metrics

When controls were compared against the UHR group

Discussion

In this study of pre-psychotic individuals at ultra-high risk for developing psychosis, we found reductions in the thickness of the genu of the corpus callosum in those subjects who later developed a first-episode psychosis (FEP) when compared to clinically similar subjects who did not, and when compared to controls. This relationship held when the analysis was confined to individuals who later developed a schizophrenia-spectrum illness. Additionally, pre-psychotic individuals also showed

Role of funding source

This research was supported by project grants from the National Health & Medical Research Council (NHMRC; grant ID numbers: 970598, 981112), Ian Potter Foundation, Woods Family Trust, and a program grant from the Victorian Health Promotion Foundation. None of the funding sources had any further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.

Contributors

Dr Walterfang designed the study, wrote the protocol, performed the analysis and prepared the first draft of the manuscript. Assoc Prof Yung, Dr Phillips and Prof McGorry developed the PACE clinic, designed the entry criteria and undertook clinical assessments of the participants. The image analysis protocol and statistical analysis was developed and performed by Prof Reutens and Drs A Wood and Chen. Dr S Wood, Dr Velakoulis and Prof Pantelis assisted with data analysis and interpretation of

Conflict of interest

All authors declare they have no conflicts of interest which are relevant to this manuscript.

Acknowledgements

This research was supported by project grants from the National Health & Medical Research Council (NHMRC; grant ID numbers: 970598, 981112), Ian Potter Foundation, Woods Family Trust, an NHMRC Program Grant (350241) and a program grant from the Victorian Health Promotion Foundation. Dr Walterfang was supported by a Stanley Research Centre Grant. Dr A Wood was supported by an NHMRC Clinical Research Training Fellowship (251755). Dr S Wood was supported by an NHMRC Clinical Career Development

References (64)

  • ThompsonK. et al.

    Stress and HPA-axis functioning in young people at ultra high risk for psychosis

    J. Psychiatr. Res.

    (2007)
  • YungA. et al.

    Psychosis prediction: 12 month follow-up of a high risk (‘prodromal’) group

    Schizophr. Res.

    (2003)
  • YungA. et al.

    Psychosis prediction: 12-month follow up of a high-risk (“prodromal”) group

    Schizophr. Res.

    (2003)
  • AndreasenN.

    The Scale for the Assessment of Negative Symptoms (SANS)

    (1983)
  • AvilaM. et al.

    Neurodevelopmental interactions conferring risk for schizophrenia: a study of dermatoglyphic markers in patients and relatives

    Schizophr. Bull.

    (2003)
  • AydinK. et al.

    Quantitative proton MRS spectroscopy findings in the corpus callosum of patients with schizophrenia suggest callosal disconnection

    Am. J. Neuroradiol.

    (2007)
  • BenesF. et al.

    Myelination of a key relay zone in the hippocampal formation occurs in the human brain during childhood, adolescence, and adulthood

    Arch. Gen. Psychiatry

    (1994)
  • BrewerW. et al.

    Memory impairments identified in people at ultra high-risk for psychosis who later develop first episode psychosis

    Am. J. Psychiatry

    (2005)
  • BrewerW. et al.

    Impairment of olfactory identification ability in individuals at ultra-high risk for psychosis who later develop schizophrenia

    Am. J. Psychiatry

    (2003)
  • Brewer, W., Wood, S., Phillips, L., et al. (2006) Generalized and specific cognitive performance in clinical high-risk...
  • BrownA. et al.

    Serologic evidence of prenatal influenza in the etiology of schizophrenia

    Arch. Gen. Psychiatry

    (2004)
  • BrownA. et al.

    Maternal exposure to respiratory infections and adult schizophrenia spectrum disorders: a prospective birth cohort study

    Schizophr. Bull.

    (2000)
  • CasanovaM. et al.

    Axonal counts of the corpus callosum of schizophrenic patients

    J. Neurol. Neurosurg. Psychiatry

    (1990)
  • DouaudG. et al.

    Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia

    Brain

    (2007)
  • FatemiS. et al.

    Prenatal viral infection in mouse causes differential expression of genes in brains of mouse progeny: a potential animal model for schizophrenia and autism

    Synapse

    (2005)
  • FlynnS. et al.

    Abnormalities of myelination in schizophrenia detected in vivo with MRI, and post-mortem with analysis of oligodendrocyte proteins

    Mol. Psychiatry

    (2003)
  • FornitoA. et al.

    Anatomical abnormalities of the anterior cingulate cortex and paracingulate cortex prior to the onset of schizophrenia or affective psychosis

    NeuroImage

    (2007)
  • Fornito, A., Yung, A., Wood, S., et al. (in press) Anatomical abnormalities of the anterior cingulate cortex prior to...
  • GieddJ. et al.

    Development of the human corpus callosum during childhood and adolescence: a longitudinal MRI study

    Prog. Neuropsychopharmacol. Biol. Psychiatry

    (1999)
  • HolmS.

    A simple sequentially rejective multiple test procedure

    Scand. J. Statist.

    (1979)
  • HolmesA. et al.

    Nonparametric analysis of statistic images from functional mapping experiments

    J. Cereb. Blood Flow Metab.

    (1996)
  • KierE. et al.

    The normal and abnormal genu of the corpus callosum: an evolutionary, embryologic, anatomic, and MR analysis

    AJNR

    (1996)
  • Cited by (70)

    • Morphological alterations of the corpus callosum in antipsychotic-naive first-episode schizophrenia before and 1-year after treatment

      2021, Schizophrenia Research
      Citation Excerpt :

      Our demonstration of selective deficit in this subregion may be due to sample characteristics, our CC partitioning scheme, and the fact that our sample was early in the illness course and treatment naive. In addition, Walterfang et al. showed a significant reduction of callosal thickness in individuals at ultra-high risk for psychosis (Walterfang et al., 2008b). Thus, our finding showing a significant and stable deficit of CC morphology in schizophrenia, when others have reported related alterations before illness onset, is supportive with the hypothesis of a neurodevelopmental aberration evident in the early stage of illness.

    • Brain changes associated with negative symptoms in clinical high risk for psychosis: A systematic review

      2020, Neuroscience and Biobehavioral Reviews
      Citation Excerpt :

      The mean age was 22.2 years (range = 15.80 to 26.36) and 1185 (55.27%) were male (range = 20 to 100%). There were 26 structural imaging studies (Bartholomeusz et al., 2014; Bernasconi et al., 2015; Cropley et al., 2016; Das et al., 2018; Dean et al., 2016; Fornito et al., 2008; Guma et al., 2017; Hannan et al., 2010; Katagiri et al., 2019, 2018; Krakauer et al., 2018, 2017; Mittal et al., 2014, 2013; Nakamura et al., 2013; Pelletier-Baldelli et al., 2014; Reniers et al., 2017; Roalf et al., 2017; Saito et al., 2017; Schmidt et al., 2017b; Takahashi et al., 2014, 2013, 2010, 2009; Turetsky et al., 2018; Walterfang et al., 2008) included in the analysis and 17 functional imaging studies (Aydin et al., 2008; Bernard et al., 2014; Cressman et al., 2015; Falkenberg et al., 2015; Fusar-Poli et al., 2011; Li et al., 2017; Millman et al., 2019; Modinos et al., 2018; Niendam et al., 2014; Pauly et al., 2010; Pelletier-Baldelli et al., 2018b, 2018a; Schmidt et al., 2017a, 2014; Schobel et al., 2009; Wang et al., 2016; Wotruba et al., 2014). Of these studies, 16 were focused on the whole brain (eight structural (Cropley et al., 2016; Das et al., 2018; Guma et al., 2017; Krakauer et al., 2018, 2017; Nakamura et al., 2013; Reniers et al., 2017; Schmidt et al., 2017b) and seven functional studies (Falkenberg et al., 2015; Fusar-Poli et al., 2011; Li et al., 2017; Pauly et al., 2010; Pelletier-Baldelli et al., 2018a; Schmidt et al., 2017a, 2014)), 24 used ROI analyses (17 structural (Bartholomeusz et al., 2014; Dean et al., 2016; Fornito et al., 2008; Hannan et al., 2010; Katagiri et al., 2019, 2018; Mittal et al., 2014, 2013; Pelletier-Baldelli et al., 2014; Roalf et al., 2017; Saito et al., 2017; Takahashi et al., 2014, 2010, 2009; Turetsky et al., 2018; Walterfang et al., 2008) and seven functional studies (Aydin et al., 2008; Bernard et al., 2014; Cressman et al., 2015; Modinos et al., 2018; Pelletier-Baldelli et al., 2018b; Schobel et al., 2009; Wang et al., 2016)), and four used a combination of both whole brain and ROI analyses (one structural (Bernasconi et al., 2015) and three functional studies (Millman et al., 2019; Niendam et al., 2014; Wotruba et al., 2014)).

    • Symptom recovery and relationship to structure of corpus callosum in individuals with an ‘at risk mental state’

      2018, Psychiatry Research - Neuroimaging
      Citation Excerpt :

      The corpus callosum (CC), which connects homologous frontal areas involved in cognitive functions associated with executive functions relevant to schizophrenia (de Lacoste, 1985; David, 1994; Pantelis et al., 1997; Crow, 1998), has been implicated in schizophrenia, with evidence of structural abnormalities observed across the various stages of illness (Walterfang et al., 2008a; Whitford et al., 2011). Recently, many studies have revealed that an increase in the severity of psychotic symptoms or deficits in cognitive functions are associated with progressive changes in the CC (Koutsouleris et al., 2010; Bleich-Cohen et al., 2012; Whitford et al., 2015; Walterfang et al., 2008a, 2008b). Nakamura et al. (2012) reported that lower fractional anisotropy (FA) values (measured using diffusion tensor imaging and reflecting white matter integrity) for the CC were associated with higher scores for avolition in subjects with schizophrenia.

    View all citing articles on Scopus
    View full text