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Neural correlates of executive function and working memory in the ‘at-risk mental state’

Published online by Cambridge University Press:  02 January 2018

Matthew R. Broome*
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, and Health Sciences Research Institute, Warwick Medical School, University of Warwick, Coventry, UK
Pall Matthiasson
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London
Paolo Fusar-Poli
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, UK, and Department of Applied and Psychobehavioural Health Sciences, University of Pavia, Italy
James B. Woolley
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, UK
Louise C. Johns
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, UK
Paul Tabraham
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, UK
Elvira Bramon
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, UK
Lucia Valmaggia
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, UK, and Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
Steven C. R. Williams
Affiliation:
Neuroimaging Research Group, Department of Neurology, Institute of Psychiatry, King's College London, UK
Michael J. Brammer
Affiliation:
Brain Image Analysis Unit, Department of Biostatistics and Computing, Institute of Psychiatry, King's College London, UK
Xavier Chitnis
Affiliation:
Brain Image Analysis Unit, Department of Biostatistics and Computing, Institute of Psychiatry, King's College London, UK
Philip K. McGuire
Affiliation:
Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, UK
*
Matthew R. Broome, Warwick Medical School, University of Warwick, Gibbet Hill, Coventry CV4 7AL, UK. Email: m.r.broome@warwick.ac.uk
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Extract

Background

People with prodromal symptoms have a very high risk of developing psychosis.

Aims

To use functional magnetic resonance imaging to examine the neurocognitive basis of this vulnerability.

Method

Cross-sectional comparison of regional activation in individuals with an ‘at-risk mental state’ (at-risk group: n=17), patients with first-episode schizophreniform psychosis (psychosis group: n=10) and healthy volunteers (controls: n=15) during an overt verbal fluency task and an N-back working memory task.

Results

A similar pattern of between-group differences in activation was evident across both tasks. Activation in the at-risk group was intermediate relative to that in controls and the psychosis group in the inferior frontal and anterior cingulate cortex during the verbal fluency task and in the inferior frontal, dorsolateral prefrontal and parietal cortex during the N-back task.

Conclusions

The at-risk mental state is associated with abnormalities of regional brain function that are qualitatively similar to, but less severe than, those in patients who have recently presented with psychosis.

Information

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists 2009 
Figure 0

Table 1 Age, IQ, gender and psychopathology ratings across groups

Figure 1

Fig. 1 Group differences in cluster activation during the 1-back and 2-back conditions of the N-back task. For the 1-back condition, activation was greatest in controls, weakest in the psychosis group and intermediate in the at-risk group in the left inferior parietal lobule and in the right angular gyrus. Differential activation during the 2-back condition was greatest in controls, weakest in the psychosis group and intermediate in the at-risk group in the lateral prefrontal, insular and parietal cortex, and in the precuneus, The left side of the brain is shown on the left of the figure (voxel P<0.05, cluster P<0.01). SSQRs, sum of squares of deviations due to the residuals.

Figure 2

Table 2 1-back task between-group differences in activation: controls > at-risk > psychosis

Figure 3

Table 3 2-back task between-group differences in activation: controls > at-risk > psychosis

Figure 4

Fig. 2 Group differences in left inferior frontal cluster activation during ‘easy’ verbal fluency. The at-risk group showed greater activation than the psychosis group but less than the controls. The left side of the brain is shown on the left of the figure (voxel P<0.05, cluster P<0.01). SSQ ratio, sum of squares of deviations due to the residuals.

Figure 5

Table 4 Controls < at-risk < psychosis: ‘easy’ verbal fluency task between-group differences in activation

Figure 6

Fig. 3 Group difference in cluster activation during ‘hard’ verbal fluency. When the task demands were high, there was a differential engagement of dorsolateral prefrontal cortex with activation greatest in the control group, weakest in the psychosis group, and intermediate in the at-risk group. However, on the same version of the task, there was differential engagement of the left anterior insula. When task demands were high activation in this region was greatest in the psychosis group, weakest in the controls and intermediate in the at-risk group. The left side of the brain is shown on the left of the figure (voxel P<0.05, cluster P<0.01). SSQRs, sum of squares of deviations due to the residuals.

Figure 7

Table 5 Controls > at-risk > psychosis: ‘hard’ verbal fluency task between-group differences in activation

Figure 8

Table 6 Psychosis > at-risk > controls: ‘hard’ verbal fluency task between-group differences in activation

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