Comparing Cognitive Remediation Approaches for Schizophrenia
Wesleyan University, Middletown CT
Investigators
Abstract
Abstract Evidence over the past 30 years has revealed that 70-80% of individuals with schizophrenia exhibit marked neurocognitive deficits on measures of attention, learning and memory, problem-solving, language and sensory-motor skill (e.g., Reichenberg & Harvey, 2007). Particular significance has been attached to these deficits as their severity has been linked to impaired community function, social problem-solving and progress in psychosocial rehabilitation programs (Green et al., 2000; Green et al., 2015). Cognitive remediation (CR) is a type of behavioral intervention that addresses cognitive deficits in schizophrenia by restoring lost cognitive skills or providing strategies for bypassing deficits through task practice. Meta-analyses (Wykes et al., 2011; McGurk et al., 2007) have revealed that cognitive remediation is a validated approach to improving cognitive function in schizophrenia, however a lack of precision regarding the active elements of the intervention have prevented its recommendation as a standard treatment for the illness (Dixon et al., 2010). The present three-year proposal seeks to identify cognitive training mechanisms that are most effective at improving cognitive function in schizophrenia by comparing two different systematic programs of CR with different foci: drill-and-practice exercises vs. compensatory strategies. Both programs have strong preliminary empirical support. One-hundred and thirty-five clients diagnosed with schizophrenia or schizoaffective disorder will be randomly assigned to one of three groups: a neuroplasticity-based, drill-and-practice program of computer-assisted cognitive training exercises designed to restore lost cognitive capacity; a manualized strategy training method for bypassing deficits in cognition, or a computer games control condition. Study measures, organized according to an experimental therapeutics approach, with targets distinguished from outcomes, will assess generalization of any observed training effects.
View original record on NIH RePORTER →