Literature DB >> 9345704

Reliability, performance characteristics, construct validity, and an initial clinical application of a visual object learning test (VOLT).

David C Glahn1, Ruben C Gur, J Daniel Ragland, David M Censits, Raquel E Gur.   

Abstract

Whereas verbal learning has received considerable attention by cognitive neuropsychology, spatial object learning has been more resistant to study. The paucity of visual learning data has hampered attempts to clarify if visual learning has unique features with specialized neural substrates. In schizophrenia, severe verbal learning impairment has been established, but lack of comparable visual learning measures has thwarted the dissociation of verbal and visual abilities. The Visual Object Learning Test (VOLT) was developed to examine aspects of visual-spatial learning and memory in a manner analogous to available verbal tests. Studies were performed to establish normative performance characteristics, convergent and divergent validity, and the sensitivity of the VOLT to detection of individual differences in normal (through sex and age) and pathologic variability (through persons with schizophrenia). The results indicated excellent internal consistency, convergent and divergent validity, and sensitivity to the effects of aging and pathology. Persons with schizophrenia were impaired in both learning and retention. The authors conclude that memory impairment in schizophrenia may not be specific to verbal learning.

Entities:  

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Year:  1997        PMID: 9345704     DOI: 10.1037//0894-4105.11.4.602

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  35 in total

1.  Correlates of individual, and age-related, differences in short-term learning.

Authors:  Zhiyong Zhang; Hasker P Davis; Timothy A Salthouse; Elliot M Tucker-Drob
Journal:  Learn Individ Differ       Date:  2007-07-01

2.  Project among African-Americans to explore risks for schizophrenia (PAARTNERS): evidence for impairment and heritability of neurocognitive functioning in families of schizophrenia patients.

Authors:  Monica E Calkins; Ping Tepper; Ruben C Gur; J Daniel Ragland; Lambertus Klei; Howard W Wiener; Jan Richard; Robert M Savage; Trina B Allen; Judith O'Jile; Bernie Devlin; Joseph Kwentus; Muktar H Aliyu; L Dianne Bradford; Neil Edwards; Paul D Lyons; Vishwajit L Nimgaonkar; Alberto B Santos; Rodney C P Go; Raquel E Gur
Journal:  Am J Psychiatry       Date:  2010-03-01       Impact factor: 18.112

3.  Cognition Test Battery Performance Is Associated with Simulated 6df Spacecraft Docking Performance.

Authors:  Mathias Basner; Tyler M Moore; Emanuel Hermosillo; Jad Nasrini; David F Dinges; Ruben C Gur; Bernd Johannes
Journal:  Aerosp Med Hum Perform       Date:  2020-11-01       Impact factor: 1.053

4.  Visual Acuity does not Moderate Effect Sizes of Higher-Level Cognitive Tasks.

Authors:  James R Houston; Ilana J Bennett; Philip A Allen; David J Madden
Journal:  Exp Aging Res       Date:  2016       Impact factor: 1.645

5.  Cognition and community functioning in schizophrenia: The nature of the relationship.

Authors:  Susan S Kuo; Laura Almasy; Ruben C Gur; Konasale Prasad; David R Roalf; Raquel E Gur; Vishwajit L Nimgaonkar; Michael F Pogue-Geile
Journal:  J Abnorm Psychol       Date:  2018-02

6.  Computerized neurocognitive test performance in schizophrenia: a lifespan analysis.

Authors:  Farzin Irani; Colleen M Brensinger; Jan Richard; Monica E Calkins; Paul J Moberg; Waren Bilker; Raquel E Gur; Ruben C Gur
Journal:  Am J Geriatr Psychiatry       Date:  2012-01       Impact factor: 4.105

7.  Genetic associations between neuregulin-1 SNPs and neurocognitive function in multigenerational, multiplex schizophrenia families.

Authors:  Jessica L Yokley; Konasale M Prasad; Kodavali V Chowdari; Michael E Talkowski; Joel Wood; Ruben C Gur; Raquel E Gur; Laura Almasy; Vishwajit L Nimgaonkar; Michael F Pogue-Geile
Journal:  Psychiatr Genet       Date:  2012-04       Impact factor: 2.458

8.  Within-individual variability in neurocognitive performance: age- and sex-related differences in children and youths from ages 8 to 21.

Authors:  David R Roalf; Raquel E Gur; Kosha Ruparel; Monica E Calkins; Theodore D Satterthwaite; Warren B Bilker; Hakon Hakonarson; Lauren Julius Harris; Ruben C Gur
Journal:  Neuropsychology       Date:  2014-04-28       Impact factor: 3.295

9.  A cognitive neuroscience-based computerized battery for efficient measurement of individual differences: standardization and initial construct validation.

Authors:  Ruben C Gur; Jan Richard; Paul Hughett; Monica E Calkins; Larry Macy; Warren B Bilker; Colleen Brensinger; Raquel E Gur
Journal:  J Neurosci Methods       Date:  2009-11-27       Impact factor: 2.390

10.  Neuroimaging predictors of cognitive performance across a standardized neurocognitive battery.

Authors:  David R Roalf; Kosha Ruparel; Raquel E Gur; Warren Bilker; Raphael Gerraty; Mark A Elliott; R Sean Gallagher; Laura Almasy; Michael F Pogue-Geile; Konasale Prasad; Joel Wood; Vishwajit L Nimgaonkar; Ruben C Gur
Journal:  Neuropsychology       Date:  2013-12-23       Impact factor: 3.295

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