Computerized Neurocognitive Scanning: I. Methodology and Validation in Healthy People

By Ruben C. Gur, J. Ragland, P. Moberg, T. Turner, W. Bilker, C. Kohler, Steven J. Siegel, Raquel E. Gur. Neuropsychopharmacology, 2001

386 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/2b8fb54967bb4c792789dc889bd615a249023f23

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In Cognitive Neuroscience

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Citations in the corpus

Human Connectome Project Informatics: quality control, database services, and data visualization (2013, methodology): “Behavioral data are collected using the web-based NIH Toolbox Assessment Center (http://www.nihtoolbox.org) and a modified web-based Penn computerized battery (Gur et al., 2001; Gur et al., 2010).”
The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry (2012, background): “…of ADHD-Symptoms and NormalBehavior Scale (SWAN; Hay et al., 2007, respectively), and can assess the construct validity of different assessments (e.g., the Computerized Neurocognitive Battery (Gur et al., 2001) versus the Delis–Kaplan Executive Functioning System (Delis et al., 2004; Figure 1).”
Psychometric Properties of the Penn Computerized Neurocognitive Battery (2014, neutral): “…(Gur, Erwin & Gur, 1992) have been assembled into a computerized neurocognitive battery (CNB) in which these tasks have been adapted to assure adequate psychometric properties, such as reliability and validity (Gur et al., 2001, 2010) and its linkage to brain systems (Roalf, Ruparel et al., 2013).”
Age group and sex differences in performance on a computerized neurocognitive battery in children age 8–21 (2012, methodology): “The Visual Object Learning Test uses euclidean shapes as stimuli with the same paradigm as the word and face memory (Glahn, Gur, Ragland, Censits, & Gur, 1997; Gur et al., 2001, 2010).”
A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018, methodology): “…on form A of the 24(+3 bonus)-item Penn Matrix Reasoning Test (PMAT), a test of non-verbal reasoning ability which can be administered in under 10 minutes (mean=4.6, std= 3 min; [48]), and is included in the University of Pennsylvania Computerized Neurocognitive Battery (Penn CNB, [49–51]).”
A cognitive neuroscience based computerized battery for efficient measurement of individual differences: Standardization and initial construct validation (2009, methodology): “We have developed a battery of computerized tests and established its comparability with a traditional neuropsychological battery in a healthy normative sample (Gur et al., 2001a) and in patients with schizophrenia (Gur et al., 2001b).”