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CNTRICS Final Task Selection: Control of Attention
Author(s) -
K.H. Nuechterlein,
S. J. Luck,
Cindy Lustig,
Martin Sarter
Publication year - 2008
Publication title -
schizophrenia bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.823
H-Index - 190
eISSN - 1745-1707
pISSN - 0586-7614
DOI - 10.1093/schbul/sbn158
Subject(s) - cognition , psychology , task (project management) , schizophrenia (object oriented programming) , construct (python library) , control (management) , cognitive psychology , cognitive neuroscience , selection (genetic algorithm) , strengths and weaknesses , neuroscience , computer science , social psychology , psychiatry , artificial intelligence , management , economics , programming language
The construct of attention has many facets that have been examined in human and animal research and in healthy and psychiatrically disordered conditions. The Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia (CNTRICS) group concluded that control of attention-the processes that guide selection of task-relevant inputs-is particularly impaired in schizophrenia and could profit from further work with refined measurement tools. Thus, nominations for cognitive tasks that provide discrete measures of control of attention were sought and were then evaluated at the third CNTRICS meeting for their promise for future use in treatment development. This article describes the 5 nominated measures and their strengths and weaknesses for cognitive neuroscience work relevant to treatment development. Two paradigms, Guided Search and the Distractor Condition Sustained Attention Task, were viewed as having the greatest immediate promise for development into tools for treatment research in schizophrenia and are described in more detail by their nominators.

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