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Analyses of Visuospatial and Visuoperceptual Errors as Predictors of Dementia in Parkinson’s Disease Patients with Subjective Cognitive Decline and Mild Cognitive Impairment

Published online by Cambridge University Press:  11 December 2020

Iván Galtier Open the ORCID record for Iván Galtier [Opens in a new window] ,
Antonieta Nieto Open the ORCID record for Antonieta Nieto [Opens in a new window] ,
María Mata ,
Jesús N. Lorenzo  and
José Barroso Open the ORCID record for José Barroso [Opens in a new window]
Iván Galtier*
Affiliation:
School of Psychology, University of La Laguna, La Laguna, Spain
Antonieta Nieto
Affiliation:
School of Psychology, University of La Laguna, La Laguna, Spain
María Mata
Affiliation:
School of Psychology, University of La Laguna, La Laguna, Spain
Jesús N. Lorenzo
Affiliation:
Departament of Neurology, N.S. La Candelaria University Hospital, S/C de Tenerife, Spain
José Barroso
Affiliation:
School of Psychology, University of La Laguna, La Laguna, Spain
*
*Correspondence and reprint requests to: Ivan Galtier, PhD, School of Psychology, University of La Laguna, 38205 La Laguna, Tenerife, Spain. Tel.: +34 922317559; Fax: +34 922317561. Email: [email protected]
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Abstract

Objective:

Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in Parkinson’s disease (PD) are considered as the risk factors for dementia (PDD). Posterior cortically based functions, such as visuospatial and visuoperceptual (VS-VP) processing, have been described as predictors of PDD. However, no investigations have focused on the qualitative analysis of the Judgment of Line Orientation Test (JLOT) and the Facial Recognition Test (FRT) in PD-SCD and PD-MCI. The aim of this work was to study the VS-VP errors in JLOT and FRT. Moreover, these variables are considered as predictors of PDD.

Method:

Forty-two PD patients and 19 controls were evaluated with a neuropsychological protocol. Patients were classified as PD-SCD and PD-MCI. Analyses of errors were conducted following the procedure described by Ska, Poissant, and Joanette (1990). Follow-up assessment was conducted to a mean of 7.5 years after the baseline.

Results:

PD-MCI patients showed a poor performance in JLOT and FRT total score and made a greater proportion of severe intraquadrant (QO2) and interquadrant errors (IQO). PD-SCD showed a poor performance in FRT and made mild errors in JLOT. PD-MCI and QO2/IQO errors were independent risk factors for PDD during the follow-up. Moreover, the combination of both PD-MCI diagnosis and QO2/IQO errors was associated with a greater risk.

Conclusions:

PD-MCI patients presented a greater alteration in VS-VP processing observable by the presence of severe misjudgments. PD-SCD patients also showed mild difficulties in VS-SP functions. Finally, QO2/IQO errors in PD-MCI are a useful predictor of PDD, more than PD-MCI diagnosis alone.

Keywords

Movement disordersFollow-up studyRisk factorJudgment of Line Orientation testNeuropsychological assessmentCognitive impairment
Type
Regular Research
Information
Journal of the International Neuropsychological Society , Volume 27 , Issue 7 , August 2021 , pp. 722 - 732
Copyright
Copyright © INS. Published by Cambridge University Press, 2020

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References

REFERENCES

Baggio, H.-C., Segura, B., Sala-Llonch, R., Marti, M.-J., Valldeoriola, F., Compta, Y., & Junqué, C. (2015). Cognitive impairment and resting-state network connectivity in Parkinson’s disease. Human Brain Mapping, 36 (1), 199–212. https://doi.org/10.1002/hbm.22622 CrossRefGoogle ScholarPubMed
Barbizet, J., & Cany, E. (1968). Clinical and psychometrical study of a patient with memory disturbances. International Journal of Neurology, 7, 44–54.Google ScholarPubMed
Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 561–571.CrossRefGoogle ScholarPubMed
Benton, A., Hamsher, K., & Sivan, A. (1989). Multilingual aphasia examination (2nd ed.). Iowa City, IA: AJA Associates; University of Iowa.Google Scholar
Benton, A., Hamsher, S., Varney, O., & Spreen, N. (1983). Contributions to neuropsychological assessment: A clinical manual. New York: Oxford University Press.Google Scholar
Delis, D., Kramer, J., Kaplan, E., & Ober, B. (1987). California verbal learning test ( Research Edition Manual). New York: Psychological Corporation.Google Scholar
Dillen, K. N. H., Jacobs, H. I. L., Kukolja, J., Richter, N., von Reutern, B., Onur, Ö. A., … Fink, G. R. (2017). Functional disintegration of the default mode network in prodromal Alzheimer’s disease. Journal of Alzheimer’s Disease, 59 (1), 169–187. https://doi.org/10.3233/JAD-161120 CrossRefGoogle ScholarPubMed
Druks, J., & Masterson, J. (2000). Object and action naming batter. Hove: Psychology Press.Google Scholar
Dubois, B., Burn, D., Goetz, C., Aarsland, D., Brown, R. G., Broe, G. A., … Emre, M. (2007). Diagnostic procedures for Parkinson’s disease dementia: Recommendations from the movement disorder society task force. Movement Disorders: Official Journal of the Movement Disorder Society, 22 (16), 2314–2324. https://doi.org/10.1002/mds.21844 CrossRefGoogle ScholarPubMed
Duncan, G. W., Khoo, T. K., Yarnall, A. J., O’Brien, J. T., Coleman, S. Y., Brooks, D. J., … Burn, D. J. (2014). Health-related quality of life in early Parkinson’s disease: The impact of nonmotor symptoms. Movement Disorders, 29 (2), 195–202. https://doi.org/10.1002/mds.25664 CrossRefGoogle ScholarPubMed
Emre, M., Aarsland, D., Brown, R., Burn, D. J., Duyckaerts, C., Mizuno, Y., … Dubois, B. (2007). Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Movement Disorders: Official Journal of the Movement Disorder Society, 22 (12), 1689–1707; quiz 1837. https://doi.org/10.1002/mds.21507 CrossRefGoogle ScholarPubMed
Erro, R., Santangelo, G., Barone, P., Picillo, M., Amboni, M., Longo, K., … Vitale, C. (2014). Do subjective memory complaints herald the onset of mild cognitive impairment in Parkinson disease? Journal of Geriatric Psychiatry and Neurology, 27 (4), 276–281. https://doi.org/10.1177/0891988714532015 CrossRefGoogle ScholarPubMed
Erro, R., Santangelo, G., Picillo, M., Vitale, C., Amboni, M., Longo, K., … Pellecchia, M. T. (2013). Side of onset does not influence cognition in newly diagnosed untreated Parkinson’s disease patients. Parkinsonism & Related Disorders, 19 (2), 256–259. https://doi.org/10.1016/j.parkreldis.2012.10.020 CrossRefGoogle Scholar
Fahn, S., & Elton, R. (1987). Unified Parkinson’s disease rating scale. In Fahn, S., Marsden, C., Goldstein, M., & Calne, D. (Eds.), Recent developments in Parkinson’s disease (pp. 153–163). Florham Park, NJ: Macmillan Health Care Information.Google Scholar
Finton, M. J., Lucas, J. A., Graff-Radford, N. R., & Uitti, R. J. (1998). Analysis of visuospatial errors in patients with Alzheimer’s disease or Parkinson’s disease. Journal of Clinical and Experimental Neuropsychology, 20 (2), 186–193. https://doi.org/10.1076/jcen.20.2.186.1167 CrossRefGoogle ScholarPubMed
Foffani, G., & Obeso, J. A. (2018). A cortical pathogenic theory of Parkinson’s disease. Neuron, 99 (6), 1116–1128. https://doi.org/10.1016/J.NEURON.2018.07.028 CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S., & McHugh, P. R. (1975). “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.CrossRefGoogle ScholarPubMed
Galtier, I., Nieto, A., Lorenzo, J. N., & Barroso, J. (2016). Mild cognitive impairment in Parkinson’s disease: Diagnosis and progression to dementia. Journal of Clinical and Experimental Neuropsychology, 38 (1), 40–50. https://doi.org/10.1080/13803395.2015.1087465 CrossRefGoogle Scholar
Galtier, I., Nieto, A., Lorenzo, J. N., & Barroso, J. (2019). Subjective cognitive decline and progression to dementia in Parkinson’s disease: A long-term follow-up study. Journal of Neurology, 266 (3), 745–754. https://doi.org/10.1007/s00415-019-09197-0 CrossRefGoogle ScholarPubMed
Garcia-Diaz, A. I., Segura, B., Baggio, H. C., Marti, M. J., Valldeoriola, F., Compta, Y., … Junque, C. (2018a). Structural brain correlations of visuospatial and visuoperceptual tests in Parkinson’s disease. Journal of the International Neuropsychological Society, 24 (1), 33–44. https://doi.org/10.1017/S1355617717000583 CrossRefGoogle ScholarPubMed
Garcia-Diaz, A.I., Segura, B., Baggio, H. C., Uribe, C., Campabadal, A., Abos, A., … Junque, C. (2018b). Cortical thinning correlates of changes in visuospatial and visuoperceptual performance in Parkinson’s disease: A 4-year follow-up. Parkinsonism & Related Disorders, 46, 62–68. https://doi.org/10.1016/j.parkreldis.2017.11.003 CrossRefGoogle ScholarPubMed
Golden, C. (1978). Stroop color and word test: A manual for clinical and experimental uses. Chicago, IL: Stoelting Company.Google Scholar
Heaton, R. (1981). Wisconsin card sorting test manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Hely, M. A., Reid, W. G. J., Adena, M. A., Halliday, G. M., & Morris, J. G. L. (2008). The Sydney multicenter study of Parkinson’s disease: The inevitability of dementia at 20 years. Movement Disorders: Official Journal of the Movement Disorder Society, 23 (6), 837–844. https://doi.org/10.1002/mds.21956 CrossRefGoogle ScholarPubMed
Hirtz, D., Thurman, D. J., Gwinn-Hardy, K., Mohamed, M., Chaudhuri, A. R., & Zalutsky, R. (2007). How common are the “common” neurologic disorders? Neurology, 68 (5), 326–337. https://doi.org/10.1212/01.wnl.0000252807.38124.a3 CrossRefGoogle ScholarPubMed
Hoehn, M. M., & Yahr, M. D. (1967). Parkinsonism: Onset, progression and mortality. Neurology, 17 (5), 427–442.CrossRefGoogle ScholarPubMed
Hong, J. Y., Sunwoo, M. K., Chung, S. J., Ham, J. H., Lee, J. E., Sohn, Y. H., & Lee, P. H. (2014). Subjective cognitive decline predicts future deterioration in cognitively normal patients with Parkinson’s disease. Neurobiology of Aging, 35 (7), 1739–1743. https://doi.org/10.1016/j.neurobiolaging.2013.11.017 CrossRefGoogle ScholarPubMed
Hoogland, J., Boel, J. A., de Bie, R. M. A., Geskus, R. B., Schmand, B. A., Dalrymple-Alford, J. C., … MDS Study Group. (2017). Mild cognitive impairment as a risk factor for Parkinson’s disease dementia. Movement Disorders: Official Journal of the Movement Disorder Society, 32 (7), 1056–1065. https://doi.org/10.1002/mds.27002 CrossRefGoogle ScholarPubMed
Hughes, A. J., Daniel, S. E., Kilford, L., & Lees, A. J. (1992). Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: A clinico-pathological study of 100 cases. Journal of Neurology, Neurosurgery, and Psychiatry, 55 (3), 181–184.CrossRefGoogle ScholarPubMed
Lehrner, J., Moser, D., Klug, S., Gleiß, A., Auff, E., Pirker, W., & Pusswald, G. (2014). Subjective memory complaints, depressive symptoms and cognition in Parkinson’s disease patients. European Journal of Neurology, 21 (10), 1276–1284, e77. https://doi.org/10.1111/ene.12470 CrossRefGoogle ScholarPubMed
Leroi, I., McDonald, K., Pantula, H., & Harbishettar, V. (2012). Cognitive impairment in Parkinson disease: Impact on quality of life, disability, and caregiver burden. Journal of Geriatric Psychiatry and Neurology, 25 (4), 208–214. https://doi.org/10.1177/0891988712464823 CrossRefGoogle ScholarPubMed
Lezak, M., Howieson, D., Bliger, E., & Tranel, D. (2012). Neuropsychological assessment (5th ed.). New York: Oxford University Press.Google Scholar
Litvan, I., Goldman, J. G., Tröster, A. I., Schmand, B. A., Weintraub, D., Petersen, R. C., … Emre, M. (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Movement Disorders: Official Journal of the Movement Disorder Society, 27 (3), 349–356. https://doi.org/10.1002/mds.24893 CrossRefGoogle ScholarPubMed
Marinus, J., Zhu, K., Marras, C., Aarsland, D., & van Hilten, J. J. (2018). Risk factors for non-motor symptoms in Parkinson’s disease. The Lancet Neurology, 17 (6), 559–568. https://doi.org/10.1016/S1474-4422(18)30127-3 CrossRefGoogle ScholarPubMed
Monastero, R., Cicero, C. E., Baschi, R., Davì, M., Luca, A., Restivo, V., … Nicoletti, A. (2018). Mild cognitive impairment in Parkinson’s disease: The Parkinson’s disease cognitive study (PACOS). Journal of Neurology, 265 (5), 1050–1058. https://doi.org/10.1007/s00415-018-8800-4 CrossRefGoogle Scholar
Montse, A., Pere, V., Carme, J., Francesc, V., & Eduardo, T. (2001). Visuospatial deficits in Parkinson’s disease assessed by judgment of line orientation test: Error analyses and practice effects. Journal of Clinical and Experimental Neuropsychology, 23 (5), 592–598. https://doi.org/10.1076/jcen.23.5.592.1248 CrossRefGoogle ScholarPubMed
Scheef, L., Spottke, A., Daerr, M., Joe, A., Striepens, N., Kölsch, H., … Jessen, F. (2012). Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment. Neurology, 79 (13), 1332–1339. https://doi.org/10.1212/WNL.0b013e31826c1a8d CrossRefGoogle ScholarPubMed
Ska, B., Poissant, A., & Joanette, Y. (1990). Line orientation judgment in normal elderly and subjects with dementia of Alzheimer’s type. Journal of Clinical and Experimental Neuropsychology, 12 (5), 695–702. https://doi.org/10.1080/01688639008401012 CrossRefGoogle ScholarPubMed
Tranel, D., Vianna, E., Manzel, K., Damasio, H., & Grabowski, T. (2009). Neuroanatomical correlates of the benton facial recognition test and judgment of line orientation test. Journal of Clinical and Experimental Neuropsychology, 31 (2), 219–233. https://doi.org/10.1080/13803390802317542 CrossRefGoogle ScholarPubMed
Uribe, C., Segura, B., Baggio, H. C., Abos, A., Garcia-Diaz, A. I., Campabadal, A., … Junque, C. (2018). Cortical atrophy patterns in early Parkinson’s disease patients using hierarchical cluster analysis. Parkinsonism and Related Disorders, 50, 3–9. https://doi.org/10.1016/j.parkreldis.2018.02.006 CrossRefGoogle ScholarPubMed
Uribe, C., Segura, B., Baggio, H. C., Abos, A., Marti, M. J., Valldeoriola, F., … Junque, C. (2016). Patterns of cortical thinning in nondemented Parkinson’s disease patients. Movement Disorders: Official Journal of the Movement Disorder Society, 31 (5), 699–708. https://doi.org/10.1002/mds.26590 CrossRefGoogle ScholarPubMed
Visser, P. J., Verhey, F., Knol, D. L., Scheltens, P., Wahlund, L.-O., Freund-Levi, Y., … Blennow, K. (2009). Prevalence and prognostic value of CSF markers of Alzheimer’s disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: A prospective cohort study. The Lancet Neurology, 8 (7), 619–627. https://doi.org/10.1016/S1474-4422(09)70139-5 CrossRefGoogle ScholarPubMed
Wechsler, D. (1997a). Wechsler adult intelligence scale – Administration and scoring manual (3rd ed.). San Antonio, TX: The Psychological Corporation.Google Scholar
Wechsler, D. (1997b). Wechsler memory scale – Third edition. Technical Manual (3rd ed.). San Antonio, TX: The Psychological Corporation.Google Scholar
Williams-Gray, C. H., Foltynie, T., Brayne, C. E. G., Robbins, T. W., & Barker, R. A. (2007). Evolution of cognitive dysfunction in an incident Parkinson’s disease cohort. Brain: A Journal of Neurology, 130 (Pt 7), 1787–1798. https://doi.org/10.1093/brain/awm111 CrossRefGoogle Scholar
Williams-Gray, C. H., Evans, J. R., Goris, A., Foltynie, T., Ban, M., Robbins, T. W., … Barker, R. A. (2009). The distinct cognitive syndromes of Parkinson’s disease: 5 year follow-up of the CamPaIGN cohort. Brain: A Journal of Neurology, 132 (Pt 11), 2958–2969. https://doi.org/10.1093/brain/awp245 CrossRefGoogle ScholarPubMed
Williams-Gray, C. H., Mason, S. L., Evans, J. R., Foltynie, T., Brayne, C., Robbins, T. W., & Barker, R. A. (2013). The CamPaIGN study of Parkinson’s disease: 10-year outlook in an incident population-based cohort. Journal of Neurology, Neurosurgery and Psychiatry, 84 (11), 1258–1264. https://doi.org/10.1136/jnnp-2013-305277 CrossRefGoogle Scholar
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