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Neuropsychology|January 24, 2008
Stress and memory bias interact to predict depression in multiple sclerosisJoe Beeney, Peter A ArnettArchives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists|May 28, 2004
Speed of presentation influences story recall in college students and persons with multiple sclerosisPeter A ArnettCNS Spectrums|April 29, 2005
Longitudinal consistency of the relationship between depression symptoms and cognitive functioning in multiple sclerosisPeter A ArnettJournal of the International Neuropsychological Society : JINS|October 22, 2011
Reading based IQ estimates and actual premorbid cognitive performance: discrepancies in a college athlete sampleAmanda R Rabinowitz, Peter A ArnettJournal of Clinical and Experimental Neuropsychology|June 19, 2004
Self-reported everyday memory and depression in patients with multiple sclerosisJared M Bruce, Peter A ArnettJournal of Clinical and Experimental Neuropsychology|March 23, 2010
Awareness of executive functioning deficits in multiple sclerosis: self versus informant ratings of impairmentMegan M Smith, Peter A ArnettInternational Journal of MS Care|January 24, 2014
Attributional style and depression in multiple sclerosis: the learned helplessness modelGray A Vargas, Peter A ArnettJournal of the International Neuropsychological Society : JINS|October 29, 2008
Endorsement of self-report neurovegetative items of depression is associated with multiple sclerosis disease symptomsJoe E Beeney, Peter A ArnettJournal of Clinical and Experimental Neuropsychology|November 22, 2007
Dysarthria predicts poorer performance on cognitive tasks requiring a speeded oral response in an MS populationMegan M Smith, Peter A ArnettArchives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists|July 21, 2025
Get Your Brain in the Game: Using Machine Learning to Predict Recovery Timelines Following Sports-Related ConcussionGarrett A Thomas, Peter A ArnettPageof 11