scholarly journals Spatial asymmetries undermine also the short forms of the Judgement of Line Orientation test.

2019 ◽  
Vol 33 (3) ◽  
pp. 301-308
Author(s):  
Barbara Treccani ◽  
Roberto Cubelli
1997 ◽  
Vol 4 (4) ◽  
pp. 244-246 ◽  
Author(s):  
Rodney D. Venderploeg ◽  
Leif V. LaLone ◽  
Paul Greblo ◽  
John A. Schinka

2019 ◽  
Vol 34 (3) ◽  
pp. 580-590
Author(s):  
Anne-Isabelle Gasser ◽  
Virginie Descloux ◽  
Aline von Siebenthal ◽  
Natacha Cordonier ◽  
Philippe Rossier ◽  
...  

2009 ◽  
Vol 31 (2) ◽  
pp. 219-233 ◽  
Author(s):  
Daniel Tranel ◽  
Eduardo Vianna ◽  
Kenneth Manzel ◽  
Hanna Damasio ◽  
Thomas Grabowski

1996 ◽  
Vol 18 (6) ◽  
pp. 898-904 ◽  
Author(s):  
John L. Woodard ◽  
Ralph H. B. Benedict ◽  
Vicki J. Roberts ◽  
Felicia C. Goldstein ◽  
Kimberly M. Kinner ◽  
...  

2011 ◽  
Vol 25 (4) ◽  
pp. 670-684 ◽  
Author(s):  
Matthew Calamia ◽  
Kristian Markon ◽  
Natalie L. Denburg ◽  
Daniel Tranel

2015 ◽  
Author(s):  
Tyler M. Moore ◽  
J. Cobb Scott ◽  
Steven P. Reise ◽  
Allison M. Port ◽  
Chad T. Jackson ◽  
...  

2007 ◽  
Vol 105 (1) ◽  
pp. 276-286 ◽  
Author(s):  
William D. S. Killgore ◽  
Athena P. Kendall ◽  
Jessica M. Richards ◽  
Sharon A. McBride

Sleep deprivation impairs a variety of cognitive abilities including vigilance, attention, and executive function. Although sleep loss has been shown to impair tasks requiring visual attention and spatial perception, it is not clear whether these deficits are exclusively a function of reduced attention and vigilance or if there are also alterations in visuospatial perception. Visuospatial perception and sustained vigilance performance were therefore examined in 54 healthy volunteers at rested baseline and again after one night of sleep deprivation using the Judgment of Line Orientation Test and a computerized test of psychomotor vigilance. Whereas psychomotor vigilance declined significantly from baseline to sleep-deprived testing, scores on the Judgment of Line Orientation did not change significantly. Results suggest that documented performance deficits associated with sleep loss are unlikely to be the result of dysfunction within systems of the brain responsible for simple visuospatial perception and processing of line angles.


2020 ◽  
Vol 35 (6) ◽  
pp. 683-691 ◽  
Author(s):  
Patrick Riordan ◽  
Sandra L Kletzel ◽  
Genessa Lahr ◽  
Jamie Walter ◽  
Randi Wilson

Abstract Objective Value in evaluating error subtypes on visuospatial line orientation tests has been reported. Directional bias metrics for line orientation test errors represent easily quantifiable data that have not previously been studied. We evaluated whether patients with a clinical condition known to affect visuospatial functioning (Parkinson’s disease [PD]) exhibited unique directional error patterns on the RBANS Line Orientation test relative to other neuropsychology-referred patients. Method We compared overall directional bias in errors, directional bias by line location (left or right line and visual field), and absolute error rates (regardless of direction) by line location in a retrospective sample of patients with PD and a sample of neuropsychology-referred patients without PD. Groups were roughly matched on age, education, gender, and overall level of cognitive impairment. Results Patients with PD exhibited higher rates of leftward bias in errors, both overall and for the left stimulus line in each pair. Directional bias error scores better predicted PD versus non-PD group status than RBANS Line Orientation raw scores. Classification accuracy data for these variables were modest in the entire sample but stronger in a subsample of patients with mild levels of overall cognitive impairment. Conclusions Directional bias metrics for line orientation tests represent easily quantifiable data with potential theoretical and clinical value. In our sample, patients with PD made more left-biased line orientation errors than other neuropsychology-referred patients. By themselves, directional bias scores may have limited diagnostic potential, but they may be useful in diagnostic classification models and may have implications for clinical care.


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