Literature DB >> 8292327

Components of random generation by normal subjects and patients with dysexecutive syndrome.

J Spatt1, G Goldenberg.   

Abstract

The study presents a hypothesis on how randomness could be simulated by human subjects. Three sources of deviation from randomness are predicted: (1) the preferred application of overlearned production schemata for producing sequences of digits, (2) a wrong concept of randomness, and (3) the impossibility to monitor for redundancies of higher- than those of first-order. Deviations of random generation of digits produced by healthy subjects, patients with chronic frontal lobe damage, and patients with Parkinson's disease from random sequences produced by a computer program can be explained by the differential influence of these factors. Whereas incorrect concepts of randomness and limits on monitoring capacity distinguished all sequences produced by humans from actual random sequences, persistence on a single production strategy distinguished brain-damaged patients from controls. Random generation of digits appears to be a theoretically transparent and clinically useful test of executive function.

Entities:  

Mesh:

Year:  1993        PMID: 8292327     DOI: 10.1006/brcg.1993.1057

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  13 in total

1.  Random number generation in autism.

Authors:  Mark A Williams; Simon A Moss; John L Bradshaw; Nicole J Rinehart
Journal:  J Autism Dev Disord       Date:  2002-02

2.  Response selection in dual task paradigms: observations from random generation tasks.

Authors:  Georg Dirnberger; Marjan Jahanshahi
Journal:  Exp Brain Res       Date:  2010-03       Impact factor: 1.972

Review 3.  Neurocognitive free will.

Authors:  Thomas T Hills
Journal:  Proc Biol Sci       Date:  2019-07-31       Impact factor: 5.349

4.  Acute peripheral vestibular deficit increases redundancy in random number generation.

Authors:  Ivan Moser; Dominique Vibert; Marco D Caversaccio; Fred W Mast
Journal:  Exp Brain Res       Date:  2016-11-15       Impact factor: 1.972

5.  Random motor generation in a finger tapping task: influence of spatial contingency and of cortical and subcortical hemispheric brain lesions.

Authors:  J M Annoni; A J Pegna
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-11       Impact factor: 10.154

6.  Random Number Generation in HIV Disease: Associations with Neuropsychological Functions and Activities of Daily Living.

Authors:  David P Sheppard; Steven Paul Woods; Katie L Doyle; Marizela Verduzco
Journal:  Arch Clin Neuropsychol       Date:  2016-10-18       Impact factor: 2.813

7.  Muscle and timing-specific functional connectivity between the dorsolateral prefrontal cortex and the primary motor cortex.

Authors:  Alkomiet Hasan; Joseph M Galea; Elias P Casula; Peter Falkai; Sven Bestmann; John C Rothwell
Journal:  J Cogn Neurosci       Date:  2012-12-18       Impact factor: 3.225

8.  Repetitive behavior and repetition avoidance: the role of the right hemisphere.

Authors:  P Brugger; A U Monsch; S A Johnson
Journal:  J Psychiatry Neurosci       Date:  1996-01       Impact factor: 6.186

9.  Are numbers special? Comparing the generation of verbal materials from ordered categories (months) to numbers and other categories (animals) in an fMRI study.

Authors:  Anja Ischebeck; Stefan Heim; Christian Siedentopf; Laura Zamarian; Michael Schocke; Christian Kremser; Karl Egger; Hans Strenge; Filip Scheperjans; Margarete Delazer
Journal:  Hum Brain Mapp       Date:  2008-08       Impact factor: 5.038

10.  Galvanic vestibular stimulation influences randomness of number generation.

Authors:  Elisa Raffaella Ferrè; Eleonora Vagnoni; Patrick Haggard
Journal:  Exp Brain Res       Date:  2012-10-31       Impact factor: 1.972

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