Cognitive workload during verbal abstract reasoning in Parkinson’s disease: a pilot study

References

• Muslimović D, Post B, Speelman JD, et al. Cognitive profile of patients with newly diagnosed Parkinson disease. Neurology. 2005;65(8):1239–1245.
   PubMed Web of Science ®Google Scholar
• Aarsland D, Brønnick K, Fladby T. Mild cognitive impairment in Parkinson’s disease. Curr Neurol Neurosci Rep. 2011;11(4):371–378.
   PubMed Web of Science ®Google Scholar
• Meireles J, Massano J. Cognitive impairment and dementia in Parkinson’s disease: clinical features, diagnosis, and management. Front. Neurol. 2012;3: 88.
   PubMedGoogle Scholar
• Aarsland D, Andersen K, Larsen JP, et al. Risk of dementia in Parkinson’s disease: a community-based, prospective study. Neurology. 2001;56(6):730–736.
   PubMed Web of Science ®Google Scholar
• Weintraub D, Comella CL, Horn S. Parkinson’s disease - Part 1: pathophysiology, symptoms, burden, diagnosis, and assessment. Am J Manag Care. 2008;14(2 Suppl):S40–S48.
   PubMed Web of Science ®Google Scholar
• Narayanan NS, Rodnitzky RL, Uc E. Prefrontal dopamine signaling and cognitive symptoms of Parkinson’s disease. Rev Neurosci. 2013;24(3):267–278.
   PubMed Web of Science ®Google Scholar
• Christoff K, Keramatian K. Abstraction of mental representations: theoretical considerations and neuroscientific evidence, Bunge SA, Wallis JD, editors. Oxford, UK: Oxford University Press; 2007.
   Google Scholar
• Wang L, Nie K, Zhao X, et al. Characteristics of gray matter morphological change in Parkinson’s disease patients with semantic abstract reasoning deficits. Neurosci Lett. 2018;673:85–91.
   PubMed Web of Science ®Google Scholar
• Athey RJ, Porter RW, Walker RW. Cognitive assessment of a representative community population with Parkinson’s disease (PD) using the Cambridge Cognitive Assessment–Revised (CAMCOG-R). Age Ageing. 2005;34(3):268–273.
   PubMed Web of Science ®Google Scholar
• Huber SJ, Shuttleworth EC, Freidenberg DL. Neuropsychological differences between the dementias of Alzheimer’s and Parkinson’s diseases. Arch Neurol. 1989;46(12):1287–1291.
   PubMedGoogle Scholar
• Ranchet M, Orlosky J, Morgan J, et al. Pupillary response to cognitive workload during saccadic tasks in Parkinson’s disease. Behav Brain Res.. 2017;327:162–166.
   PubMed Web of Science ®Google Scholar
• Wang C-A, McInnis H, Brien DC, et al. Disruption of pupil size modulation correlates with voluntary motor preparation deficits in Parkinson’s disease. Neuropsychologia. 2016;80:176–184.
   PubMed Web of Science ®Google Scholar
• Sara SJ. The locus coeruleus and noradrenergic modulation of cognition. Nat Rev Neurosci.. 2009;10(3):211–223.
   PubMed Web of Science ®Google Scholar
• Murphy PR, O'Connell RG, O'Sullivan M, et al. Pupil diameter covaries with BOLD activity in human locus coeruleus. Hum Brain Mapp. 2014;35(8):4140–4154.
   PubMed Web of Science ®Google Scholar
• Ranchet M, Morgan JC, Akinwuntan AE, et al. Cognitive workload across the spectrum of cognitive impairments: a systematic review of physiological measures. Neurosci Biobehav Rev. 2017;80:516–537.
   PubMed Web of Science ®Google Scholar
• Marshall SP. The index of cognitive activity: measuring cognitive workload. Proceedings of the 2002 IEEE 7th Conference on Human Factors and Power Plants, 2002.
   Google Scholar
• Kahya M, Moon S, Lyons KE, et al. Pupillary response to cognitive demand in Parkinson’s disease: a pilot study. Front Aging Neurosci. 2018;10:90.
   PubMed Web of Science ®Google Scholar
• Granholm EL, Panizzon MS, Elman JA, et al. Pupillary responses as a biomarker of early risk for Alzheimer’s disease. J Alzheimers Dis.. 2017;56(4):1419–1428.,
   PubMed Web of Science ®Google Scholar
• Hughes AJ, Daniel SE, Kilford L, et al. Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. J Neuro Neurosurg Psychiatry. 1992;55(3):181–184.
   PubMed Web of Science ®Google Scholar
• Litvan I, Goldman JG, Tröster AI, et al. Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: movement disorder society task force guidelines. Mov Disord. 2012;27(3):349–356.
   PubMed Web of Science ®Google Scholar
• Tomlinson CL, Stowe R, Patel S, et al. Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Mov Disord. 2010;25(15):2649–2653.
   PubMed Web of Science ®Google Scholar
• von Elm E, STROBE Initiative, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (strobe) statement: guidelines for reporting observational studies. Ann Intern Med.2007; 147(8):573–577.
   PubMed Web of Science ®Google Scholar
• Myers JS, Kahya M, Mitchell M, et al. Pupillary response: cognitive effort for breast cancer survivors. Support Care Cancer. 2019;27(3):1121–1128.
   PubMed Web of Science ®Google Scholar
• Gangeddula V, Ranchet M, Akinwuntan AE, et al. Effect of cognitive demand on functional visual field performance in senior drivers with glaucoma. Front Aging Neurosci.2017;9:286.
   PubMed Web of Science ®Google Scholar
• Vogels J, Demberg V, Kray J. The index of cognitive activity as a measure of cognitive processing load in dual task settings. Front Psychol.2018;9:2276.
   PubMed Web of Science ®Google Scholar
• Niezgoda M, Tarnowski A, Kruszewski M, et al. Towards testing auditory–vocal interfaces and detecting distraction while driving: a comparison of eye-movement measures in the assessment of cognitive workload. Transp Res Part F Traffic Psychol Behav. 2015;32:23–34.
   Web of Science ®Google Scholar
• Demberg V, Sayeed A. The frequency of rapid pupil dilations as a measure of linguistic processing difficulty. PLOS ONE. 2016;11(1):e0146194.
   PubMed Web of Science ®Google Scholar
• Kahya M, Wood TA, Sosnoff JJ, et al. Increased postural demand is associated with greater cognitive workload in healthy young adults: a pupillometry study. Front Hum Neurosci. 2018;12:288–288.
   PubMed Web of Science ®Google Scholar
• Bartels M, Marshall SP. Measuring congitive workload across different eye tracking hardware platforms. Proceedings of The Symposium on Eye Tracking Research and Applications, 2012. p. 161–164.
   Google Scholar
• Cohen J. A power primer. Psychol Bull. 1992; 112(1) :155–159.
   PubMed Web of Science ®Google Scholar
• Hinkle DE, Wiersma W, Jurs SG. Applied statistics for the behavioral sciences. Boston, MA: Houghton Mifflin, 2002.
   Google Scholar
• Kudlicka A, Clare L, Hindle JV. Executive functions in Parkinson’s disease: systematic review and meta‐analysis. Mov Disord. 2011;26(13) :2305–2315.
   PubMed Web of Science ®Google Scholar
• Diamond A. Executive functions. Annu Rev Psychol. 2013;64:135–168.
   PubMed Web of Science ®Google Scholar
• de Rodez Benavent SA, Nygaard GO, Harbo HF, et al. Fatigue and cognition: pupillary responses to problem-solving in early multiple sclerosis patients. Brain Behav. 2017;7(7):e00717.
   PubMed Web of Science ®Google Scholar
• Devos H, Akinwuntan AE, Alissa N, et al. Cognitive performance and cognitive workload in multiple sclerosis: two different constructs of cognitive functioning? Mult Scler Relat Disord. 2019;38:101505–101505.
   PubMed Web of Science ®Google Scholar
• Nee DE, Jahn A, Brown JW. Prefrontal cortex organization: Dissociating effects of temporal abstraction, relational abstraction, and integration with fMRI. Cereb Cortex. 2014;24(9):2377–2387.
   PubMed Web of Science ®Google Scholar
• Corballis MC. Left brain, right brain: facts and fantasies. PLoS Biol. 2014; 12(1):e1001767.
   PubMed Web of Science ®Google Scholar
• Loranger AW, Goodell H, McDOWELL FH, et al. Intellectual impairment in Parkinson’s syndrome. Brain. 1972;95(2):405–412.
   PubMed Web of Science ®Google Scholar
• Marinus J, Visser M, Verwey NA, et al. Assessment of cognition in Parkinson’s disease. Neurology. 2003; 61(9):1222–1228.
   PubMed Web of Science ®Google Scholar
• Kirk RE. The importance of effect magnitude. In Handbook of research methods in experimental psychology. Hoboken, NJ: Blackwell Publishing Ltd; 2003. p. 83–105. https://onlinelibrary.wiley.com/doi/10.1002/9780470756973.ch5
   Google Scholar
• Schäfer T, Schwarz MA. The meaningfulness of effect sizes in psychological research: differences between sub-disciplines and the impact of potential biases. Front Psychol. 2019; 10:813.
   PubMed Web of Science ®Google Scholar
• Stuerenburg HJ, Schoser BGH. Acute overdosage and intoxication with carbidopa/levodopa can be detected in the subacute stage by measurement of 3-o-methyldopa. J Neuro Neurosurg Psychiatry. 1999; 67(1):122–123.
   PubMed Web of Science ®Google Scholar
• Weintraub MI, Gaasterland D, Van Woert MH. Pupillary effects of levodopa therapy. N Engl J Med. 1970; 283(3):120–123.
   PubMed Web of Science ®Google Scholar
• Cools R. Dopaminergic modulation of cognitive function-implications for l-DOPA treatment in Parkinson’s disease. Neurosci Biobehav Rev. 2006;30(1):1–23.
   PubMed Web of Science ®Google Scholar
• Molloy SA, Rowan EN, O'Brien JT, et al. Effect of levodopa on cognitive function in Parkinson’s disease with and without dementia and dementia with Lewy bodies. J Neurol Neurosurg Psychiatry. 2006;77(12):1323–1328.
   PubMed Web of Science ®Google Scholar
• Poletti M, Bonuccelli U. Acute and chronic cognitive effects of levodopa and dopamine agonists on patients with Parkinson’s disease: a review. Ther Adv Psychopharmacol. 2013;3(2):101–113.
   PubMedGoogle Scholar