Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-16T03:22:57.994Z Has data issue: false hasContentIssue false
  • English
  • Français

11-01 Identifying cognitive, affective and neural synchrony markers which predict real-world functional outcome in first-episode schizophrenia: an integrative neuroscience approach

Published online by Cambridge University Press:  24 June 2014

L Williams ,
TJ Whitford ,
BJ Liddell ,
D Alexander ,
G Flynn ,
W Wong ,
P Das ,
AWF Harris  and
E Gordon
L Williams
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia
TJ Whitford
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia
BJ Liddell
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia Brain Resource International Database, Brain Resource Company
D Alexander
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia Brain Resource International Database, Brain Resource Company
G Flynn
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia Early Psychosis Intervention Program, Liverpool Hospital
W Wong
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia Early Psychosis Intervention Program, Liverpool Hospital
P Das
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia Neuroscience Institute of Schizophrenia and Allied Disorders (NISAD), New South Wales, Australia
AWF Harris
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia
E Gordon
Affiliation:
The Brain Dynamics Centre, Westmead Millennium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Australia Brain Resource International Database, Brain Resource Company
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
Type
Abstracts from ‘Brainwaves’— The Australasian Society for Psychiatric Research Annual Meeting 2006, 6–8 December, Sydney, Australia
Information
Acta Neuropsychiatrica , Volume 18 , Issue 6 , December 2006 , pp. 338
Copyright
Copyright © 2006 Blackwell Munksgaard

Background:

In addition to psychotic symptoms, first-episode schizophrenia (FES) is characterized by profound difficulties in cognition and social and emotional functions.

We examined whether cognitive markers predict real-world functional outcome in FES and whether this prediction is enhanced by social-cognitive markers. We also examined the relationship between these markers and lack of neural synchrony in FES, in the context of our integrative neuroscience model of impaired neural coordination of salient and task-relevant information in this condition.

Method:

We tested patients with FES (within 3 months of service contact) using the standardized Brain Resource International Database cognitive battery and tests of social and emotional function (including DASS, NEO-FFI). Neural synchrony was extracted from EEG recorded to corresponding tasks. Assessments of symptoms and functional outcome included PANSS, SOFAS, and World Health Organisation Quality of Life Scale.

Results:

General cognitive markers predicted negative symptom severity, with the greatest contribution from poor verbal function, then visuospatial executive functions. Poorer executive function also predicted poorer social and occupational outcome and quality of life. This predictive relationship was significantly improved by the addition ofthe social-cognitive marker, excessive negativity bias. These combined markers were also related to an excess of high-frequency neural synchrony in EEG recordings.

Conclusion:

These findings show that 1) markers of general cognitive dysfunction predict real-world functional outcome in FES, 2) predictive power is enhanced by taking social and emotional aspects of cognition into account and 3) impairments in neural binding and coordination of salient stimuli may underlie these functional difficulties.