Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-22T14:35:39.701Z Has data issue: false hasContentIssue false
  • English
  • Français

Effect of Visual Cues on the Resolution of Perceptual Ambiguity in Parkinson’s Disease and Normal Aging

Published online by Cambridge University Press:  13 March 2015

Mirella Díaz-Santos ,
Bo Cao ,
Samantha A. Mauro ,
Arash Yazdanbakhsh ,
Sandy Neargarder  and
Alice Cronin-Golomb
Mirella Díaz-Santos
Affiliation:
Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
Bo Cao
Affiliation:
Center for Computational Neuroscience and Neural Technology, Boston University, Boston, Massachusetts
Samantha A. Mauro
Affiliation:
Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
Arash Yazdanbakhsh
Affiliation:
Center for Computational Neuroscience and Neural Technology, Boston University, Boston, Massachusetts
Sandy Neargarder
Affiliation:
Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts Department of Psychology, Hart Hall, Bridgewater State University, Bridgewater, Massachusetts
Alice Cronin-Golomb*
Affiliation:
Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
*
Correspondence and reprint requests to: Alice Cronin-Golomb, Department of Psychological and Brain Sciences, Boston University, 648 Beacon St., 2nd floor, Boston MA 02215. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Parkinson’s disease (PD) and normal aging have been associated with changes in visual perception, including reliance on external cues to guide behavior. This raises the question of the extent to which these groups use visual cues when disambiguating information. Twenty-seven individuals with PD, 23 normal control adults (NC), and 20 younger adults (YA) were presented a Necker cube in which one face was highlighted by thickening the lines defining the face. The hypothesis was that the visual cues would help PD and NC to exert better control over bistable perception. There were three conditions, including passive viewing and two volitional-control conditions (hold one percept in front; and switch: speed up the alternation between the two). In the Hold condition, the cue was either consistent or inconsistent with task instructions. Mean dominance durations (time spent on each percept) under passive viewing were comparable in PD and NC, and shorter in YA. PD and YA increased dominance durations in the Hold cue-consistent condition relative to NC, meaning that appropriate cues helped PD but not NC hold one perceptual interpretation. By contrast, in the Switch condition, NC and YA decreased dominance durations relative to PD, meaning that the use of cues helped NC but not PD in expediting the switch between percepts. Provision of low-level cues has effects on volitional control in PD that are different from in normal aging, and only under task-specific conditions does the use of such cues facilitate the resolution of perceptual ambiguity. (JINS, 2015, 21, 146–155)

Keywords

PerceptionAttentionVisionCuesImage EnhancementsMotor
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 21 , Issue 2 , February 2015 , pp. 146 - 155
Copyright
Copyright © The International Neuropsychological Society 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amick, M.M., Cronin-Golomb, A., & Gilmore, G.C. (2003). Visual processing of rapidly presented stimuli is normalized in Parkinson’s disease when proximal stimulus strength is enhanced. Vision Research, 43, 2827–2835.CrossRefGoogle ScholarPubMed
Armstrong, R.A. (2011). Visual symptoms in Parkinson’s disease. Parkinson’s Disease, 2011, 1–9.Google Scholar
Arrighi, R., Arecchi, F.T., Farini, A., & Gheri, C. (2009). Cueing the interpretation of a Necker cube: A way to inspect fundamental cognitive processes. Cognitive Processes, 10(Suppl. 1), S95–S99.Google Scholar
Aydin, S., Strang, N.C., & Manahilov, V. (2013). Age-related deficits in attentional control of perceptual rivalry. Vision Research, 77, 32–40.Google Scholar
Azulay, J.P., Mesure, S., Amblard, B., & Pouget, J. (2002). Increased visual dependence in Parkinson’s disease. Perceptual and Motor Skills, 95(3 Pt 2), 1106–1114.Google Scholar
Barnes, J., & David, A.S. (2001). Visual hallucinations in Parkinson’s disease: A review and phenomenological survey. Journal of Neurology, Neurosurgery, and Psychiatry, 70, 727–733.Google Scholar
Beck, A.T., Epstein, N., Brown, G., & Steer, R.A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56, 893–897.Google Scholar
Beck, A.T., Steer, R.A., Ball, R., & Ranieri, W. (1996). Comparison of Beck Depression Inventories -IA and -II in psychiatric outpatients. Journal of Personality Assessment, 67, 588–597.Google Scholar
Cahn, D.A., Sullivan, E.V., Shear, P.K., Pfefferbaum, A., Heit, G., & Silverberg, G. (1998). Differential contributions of cognitive and motor component processes to physical and instrumental activities of daily living in Parkinson’s disease. Archives of Clinical Neuropsychology, 13, 575–583.Google ScholarPubMed
Clark, U.S., Neargarder, S., & Cronin-Golomb, A. (2008). Specific impairments in the recognition of emotional facial expressions in Parkinson’s disease. Neuropsychologia, 46, 2300–2309.Google Scholar
Clay, O.J., Edwards, J.D., Ross, L.A., Okonkwo, O., Wadley, V.G., Roth, D.L., & Ball, K.K. (2009). Visual function and cognitive speed of processing mediate age-related decline in memory span and fluid intelligence. Journal of Aging and Health, 21(4), 547–566.CrossRefGoogle ScholarPubMed
Cools, R., Rogers, R., Barker, R.A., & Robbins, T.W. (2009). Top-down attentional control in Parkinson’s disease: Salient considerations. Journal of Cognitive Neuroscience, 22, 848–859.Google Scholar
Cronin-Golomb, A. (2010). Parkinson’s disease as a disconnection syndrome. Neuropsychology Review, 20, 191–208.Google Scholar
Cronin-Golomb, A. (2013). Emergence of nonmotor symptoms as the focus of research and treatment of Parkinson’s disease: Introduction to the special section on nonmotor dysfunctions in Parkinson’s disease. Behavioral Neuroscience, 127, 135–138.Google Scholar
Cronin-Golomb, A., Gilmore, G.C., Neargarder, S.A., Morrison, S.R., & Laudate, T.M. (2007). Enhanced stimulus strength improves visual cognition in aging and Alzheimer’s disease. Cortex, 43, 952–966.Google Scholar
Davidsdottir, S., Cronin-Golomb, A., & Lee, A. (2005). Visual and spatial symptoms in Parkinson’s disease. Vision Research, 45(10), 1285–1296.Google Scholar
Davidsdottir, S., Wagenaar, R., Young, D., & Cronin-Golomb, A. (2008). Impact of optic flow perception and egocentric coordinates on veering in Parkinson’s disease. Brain, 131, 2882–2893.CrossRefGoogle ScholarPubMed
de Graaf, T.A., de Jong, M.C., Goebel, R., van Ee, R., & Sack, A.T. (2011). On the functional relevance of frontal cortex for passive and voluntarily controlled bistable vision. Cerebral Cortex, 10, 2322–2331.Google Scholar
Díaz-Santos, M., Cao, B., Yazdanbakhsh, A., Norton, D.J., Neargarder, S, Cronin-Golomb, A, (2015). Perceptual, cognitive, and personality rigidity in Parkinson’s disease. Neuropsychologia, 69, 183–193.Google Scholar
Dirnberger, G., & Jahanshahi, M. (2013). Executive dysfunction in Parkinson’s disease: A review. Journal of Neuropsychology, 7, 193–224.Google Scholar
Fahn, S., & Elton, R., Members of the UPDRS Development Committee. (1987). Unified Parkinson’s Disease Rating Scale. In S. Fahn, C.D. Mardsen, D.B. Calne & M. Goldstein (Eds.), Recent developments in Parkinson’s disease (Vol. 2., pp. 153–163, 293–304). Florham Park, NJ: Macmillan Health Care Information.Google Scholar
Frässle, S., Sommer, J., Jansen, A., Naber, M., & Einhäuser, W. (2014). Binocular rivalry: Frontal activity relates to introspection and action but not to perception. Journal of Neuroscience, 34, 1738–1747.Google Scholar
Fenelon, G., Mahieux, F., Huon, R., & Ziegler, M. (2000). Hallucinations in Parkinson’s disease: Prevalence, phenomenology, and risk factors. Brain, 123, 733–745.Google Scholar
Folstein, M.F., Folstein, S.E., & 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.Google Scholar
Gazzaley, A., & D’Esposito, M. (2007). Top-down modulation and normal aging. Annals of the New York Academy of Sciences, 1097, 67–83.Google Scholar
Goetz, C.G., Leurgans, S., Pappert, E.J., Raman, R., & Stemer, A.B. (2001). Prospective longitudinal assessment of hallucinations in Parkinson’s disease. Neurology, 57, 2078–2082.Google Scholar
Goh, J.O., Beason-Held, L.L., An, Y., Kraut, M.A., & Resnick, S.M. (2013). Frontal function and executive processing in older adults: Process and region specific age-related longitudinal functional changes. Neuroimage, 69, 43–50.CrossRefGoogle ScholarPubMed
Grady, C. (2012). The cognitive neuroscience of ageing. Nature Reviews Neuroscience, 13, 491–505.Google Scholar
Hoehn, M.M., & Yahr, M.D. (1967). Parkinsonism: Onset, progression, and mortality. Neurology, 17, 427–442.Google Scholar
Intaite, M., Koivisto, M., & Castelo-Branco, M. (2014). Event-related potential responses to perceptual reversals are modulated by working memory load. Neuropsychologia, 56, 428–438.Google Scholar
Klink, P.C., van Ee, R., Nijs, M.M., Brouwer, G.J., Noest, A.J., & van Wezel, R.J.A. (2008). Early interaction between neuronal adaptation and voluntary control determine perceptual choices in bistable vision. Journal of Vision, 8, 1–18.CrossRefGoogle ScholarPubMed
Koerts, J., Borg, M. A. J. P., Meppelink, A.M., Leenders, K.L., van Beilen, M., & van Laar, T. (2010). Attentional and perceptual impairments in Parkinson’s disease with visual hallucinations. Parkinsonism & Related Disorders, 16, 270–274.Google Scholar
Kornmeier, J., Hein, C.M., & Bach, M. (2009). Multistable perception: When bottom-up and top-down coincide. Brain and Cognition, 69, 138–147.Google Scholar
Laudate, T.M., Neargarder, S., & Cronin-Golomb, A. (2013). Line bisection in Parkinson’s disease: Investigation of contributions of visual field, retinal vision and scanning patterns to visuospatial function. Behavioral Neuroscience, 127, 151–163.CrossRefGoogle ScholarPubMed
Laudate, T.M., Neargarder, S., Dunne, T.E., Sullivan, K.D., Joshi, P., Gilmore, G.C., &Cronin-Golomb, A. (2012). Externally supported performance intervention for deficit visual search in normal aging, Parkinson’s disease and Alzheimer’s disease. Aging, Neuropsychology, and Cognition, 19, 102–121.Google Scholar
Leopold, N.K., & Logothetis, N.K. (1999). Multistable phenomena: Changing views in perception. Trends in Cognitive Sciences, 3, 254–264.Google Scholar
Long, G.M., & Toppino, T.C. (2004). Enduring interest in perceptual ambiguity: Alternating views of reversible figures. Psychological Bulletin, 130, 748–768.Google Scholar
Meppelink, A.M., de Jong, B.M., Renken, R., Leenders, K.L., Cornelissen, F.W., & van Laar, T. (2009). Impaired visual processing preceding image recognition in Parkinson’s disease. Brain, 132, 2980–2993.Google Scholar
Meppelink, A.M., Koerts, J., Borg, M., Leenders, K.L., & van Laar, T. (2008). Visual object recognition and attention in Parkinson’s disease patients with visual hallucinations. Movement Disorders, 23, 1906–1912.Google Scholar
Owsley, C. (2011). Aging and vision. Vision Research, 51, 1610–1622.Google Scholar
Peterson, M.A., & Gibson, B.S. (1991). Directing spatial attention within an object: Altering the functional equivalence of shape descriptions. Journal of Experimental Psychology: Human Perception and Performance, 17(1), 170–182.Google Scholar
Sampaio, J., Bobrowicz-Campos, E., André, R., Almeida, I., Faria, P., Januário, C., &Castelo-Branco, M. (2011). Specific impairment of visual spatial covert attention mechanisms in Parkinson’s disease. Neuropsychologia, 49, 34–42.Google Scholar
Seichepine, D.R., Neargarder, S., McCallum, M., Tabor, K., Riedel, T.M., Gilmore, G.C., & Cronin-Golomb, A. (2012). Luminance affects age-related deficits in object detection: Implications for computerized psychological assessments. Psychology and Aging, 27, 522–528.Google Scholar
Toner, C.K., Reese, B.E., Neargarder, S., Riedel, T.M., Gilmore, G.C., & Cronin-Golomb, A. (2012). Vision-fair neuropsychological assessment in normal aging, Parkinson’s disease and Alzheimer’s disease. Psychology and Aging, 27, 785–790.Google Scholar
Uc, E.Y., Rizzo, M., Anderson, S.W., Qian, S., Rodnitzky, R.L., & Dawson, J.D. (2005). Visual dysfunction in Parkinson disease without dementia. Neurology, 65, 1907–1913.Google Scholar
Witjas, T., Kaphan, E., Azulay, J.P., Blin, O., Ceccaldi, M., Pouget, J., &Chérif, A.A. (2002). Nonmotor fluctuations in Parkinson’s disease: Frequent and disabling. Neurology, 59, 408–413.Google Scholar
Young, D.E., Wagenaar, R.C., Lin, C.C., Chou, Y.H., Davidsdottir, S., Saltzman, E., & Cronin-Golomb, A. (2010). Visuospatial perception and navigation in Parkinson’s disease. Vision Research, 50, 2495–2504.Google Scholar