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Commentary| Volume 70, ISSUE 1, P5-6, July 01, 2011

Standardization, Integration, and Sharing—Leveraging Research Investments

      Cognitive impairment has been recognized as a significant cause of disability in schizophrenia for more than 20 years (
      • Green M.F.
      What are the functional consequences of neurocognitive deficits in schizophrenia?.
      ,
      • Green M.F.
      • Kern R.S.
      • Braff D.L.
      • Mintz J.
      Neurocognitive deficits and functional outcome in schizophrenia: Are we measuring the “Right Stuff”?.
      ), but the development of effective treatments for cognitive impairment in schizophrenia has been slow to advance. The National Institute of Mental Health (NIMH) Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative (
      • Marder S.R.
      • Fenton W.
      Measurement and treatment research to improve cognition in schizophrenia: NIMH MATRICS initiative to support the development of agents for improving cognition in schizophrenia.
      ) brought together members of academia, the pharmaceutical industry, and the US Food and Drug Administration to increase the viability of drug development by establishing consensus guidelines for study methodology, identifying promising targets for further investigation, and developing a standardized cognitive battery for use as end points in clinical trials. The resulting MATRICS Consensus Cognitive Battery (MCCB;
      • Nuechterlein K.H.
      • Green M.F.
      • Kern R.S.
      • Baade L.E.
      • Barch D.M.
      • Cohen J.D.
      • et al.
      The MATRICS Consensus Cognitive Battery, part 1: Test selection, reliability, and validity.
      ,
      • Kern R.S.
      • Nuechterlein K.H.
      • Green M.F.
      • Baade L.E.
      • Fenton W.S.
      • Gold J.M.
      • et al.
      The MATRICS Consensus Cognitive Battery, part 2: Co-norming and standardization.
      ) is a valuable tool that has been rapidly adopted and implemented in clinical research. However, instruments included in the MCCB are based on traditional neuropsychological measures developed more than 3 decades ago and tend to engage multiple cognitive functions simultaneously. This presents a significant disadvantage when testing treatments aimed at discrete cognitive processes, where “signal” for improved functioning might be obscured within a multi-component test of cognitive performance. With the revolution in cognitive science over the past decade (
      • Cohen J.D.
      • Insel T.R.
      Cognitive neuroscience and schizophrenia: Translational research in need of a translator.
      ), the time is right to translate experimental cognitive neuroscience tasks into finer-grained clinical measures for use in the development of procognitive drugs.
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