Visuospatial performance in patients with statistically-defined mild cognitive impairment

ABSTRACT Introduction: The Oblique Effect denotes superior performance for perceiving horizontal or vertical rather than diagonal or oblique stimuli. The current research investigated responding to oblique test stimuli in patients with mild cognitive impairment (MCI). Method: Four statistically-determined groups (n = 112) were studied; patients with little to no cognitive impairment (non-MCI, n = 39); subtle cognitive impairment (SCI, n = 15); amnestic MCI (aMCI, n = 28); and a combined mixed/dysexecutive MCI (mixed/dys MCI, n = 30). The ability to respond to oblique versus non-oblique test stimuli was assessed using the Judgment of Line Orientation Test (JOLO). Comprehensive neuropsychological assessment was also obtained. Between-group differences for JOLO oblique and non-oblique test stimuli were analyzed. Hierarchical linear regression models were constructed to identify relations between accuracy for oblique and non-oblique test items and neurocognitive domains. Results: The mixed/dys MCI group demonstrated lower accuracy for oblique test items compared to non-MCI patients. Accurate responding to oblique test items was associated with better performance on tests measuring executive control, processing speed, naming/lexical retrieval, and verbal concept formation. No between-group differences were seen for non-oblique items and these items were not associated with cognition. Conclusions:Significant impairment on oblique test items distinguished patients with multi-domain/dysexecutive MCI from non-MCI patients. Accurate responding to oblique test items was associated with a complex array of neuropsychological tests suggesting that multidimensional neuropsychological skills underlie the visuospatial reasoning abilities necessary for successful oblique line identification. Research associating responding to oblique versus non-oblique test stimuli using additional neuropsychological test paradigms, and MRI-defined neuroanatomical regions of interest may provide additional information about the brain-behavior relations that underlie MCI subtypes.

[1]  K. Bayles,et al.  Language Performance of Individuals at Risk for Mild Cognitive Impairment. , 2019, Journal of speech, language, and hearing research : JSLHR.

[2]  C. Fernández-Baizán,et al.  Spatial memory in young adults: Gender differences in Egocentric and Allocentric performance , 2019, Behavioural Brain Research.

[3]  J. Miller,et al.  The relationship between neuropsychological tests of visuospatial function and lobar cortical thickness , 2018, Journal of clinical and experimental neuropsychology.

[4]  D. Salmon,et al.  Word-List Intrusion Errors Predict Progression to Mild Cognitive Impairment , 2018, Neuropsychology.

[5]  S. Belleville,et al.  Neuropsychological Measures that Predict Progression from Mild Cognitive Impairment to Alzheimer's type dementia in Older Adults: a Systematic Review and Meta-Analysis , 2017, Neuropsychology Review.

[6]  C. Nam,et al.  Diagnostic Value of Time-Constrained Naming Test in Mild Cognitive Impairment , 2017, Dementia and Geriatric Cognitive Disorders.

[7]  Nicholas J Priebe,et al.  Mechanisms of Orientation Selectivity in the Primary Visual Cortex. , 2016, Annual review of vision science.

[8]  A. Kirova,et al.  Working Memory and Executive Function Decline across Normal Aging, Mild Cognitive Impairment, and Alzheimer's Disease , 2015, BioMed research international.

[9]  J. Jolles,et al.  Visuospatial processing in early Alzheimer’s disease: A multimodal neuroimaging study , 2015, Cortex.

[10]  A. Brickman,et al.  Reconsidering harbingers of dementia: progression of parietal lobe white matter hyperintensities predicts Alzheimer's disease incidence , 2015, Neurobiology of Aging.

[11]  Nick A. Weaver,et al.  The anatomy of visuospatial construction revealed by lesion-symptom mapping , 2014, Neuropsychologia.

[12]  S. Engelborghs,et al.  THE MONTREAL COGNITIVE ASSESSMENT INSTRUMENT: INFLUENCE OF DEPRESSIVE SYMPTOMS , 2014, Alzheimer's & Dementia.

[13]  Kenneth M. Adams,et al.  The Boston Process Approach to Neuropsychological Assessment , 2014 .

[14]  Mark W. Bondi,et al.  Mild Cognitive Impairment: A Concept and Diagnostic Entity in Need of Input from Neuropsychology , 2014, Journal of the International Neuropsychological Society.

[15]  Brian B. Avants,et al.  Sparse canonical correlation analysis relates network-level atrophy to multivariate cognitive measures in a neurodegenerative population , 2014, NeuroImage.

[16]  A. Brickman.  Contemplating Alzheimer’s Disease and the Contribution of White Matter Hyperintensities , 2013, Current Neurology and Neuroscience Reports.

[17]  A. Brickman,et al.  Regional white matter hyperintensity volume, not hippocampal atrophy, predicts incident Alzheimer disease in the community. , 2012, Archives of neurology.

[18]  Murray Grossman,et al.  The Philadelphia Brief Assessment of Cognition (PBAC): A Validated Screening Measure for Dementia , 2011, The Clinical neuropsychologist.

[19]  Dana L. Penney,et al.  Dysexecutive Functioning in Mild Cognitive Impairment: Derailment in Temporal Gradients , 2011, Journal of the International Neuropsychological Society.

[20]  Tania Giovannetti,et al.  Verbal Serial List Learning in Mild Cognitive Impairment: A Profile Analysis of Interference, Forgetting, and Errors , 2011, Journal of the International Neuropsychological Society.

[21]  Jenna G. Kelly,et al.  Attentional oblique effect when judging simultaneity. , 2011, Journal of vision.

[22]  Eero P. Simoncelli,et al.  Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics , 2011, Nature Neuroscience.

[23]  Dwight J. Kravitz,et al.  A new neural framework for visuospatial processing , 2011, Nature Reviews Neuroscience.

[24]  M. Summers,et al.  Longitudinal deficits to attention, executive, and working memory in subtypes of mild cognitive impairment. , 2011, Neuropsychology.

[25]  Krish D. Singh,et al.  Orientation Discrimination Performance Is Predicted by GABA Concentration and Gamma Oscillation Frequency in Human Primary Visual Cortex , 2009, The Journal of Neuroscience.

[26]  D. Delis,et al.  Quantification of five neuropsychological approaches to defining mild cognitive impairment. , 2009, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[27]  H. Damasio,et al.  Neuroanatomical correlates of the Benton Facial Recognition Test and Judgment of Line Orientation Test , 2009, Journal of clinical and experimental neuropsychology.

[28]  Murray Grossman,et al.  Screening for Frontotemporal Dementias and Alzheimer’s Disease with the Philadelphia Brief Assessment of Cognition: A Preliminary Analysis , 2007, Dementia and Geriatric Cognitive Disorders.

[29]  T. Dierks,et al.  Reduced neuronal efficacy in progressive mild cognitive impairment: A prospective fMRI study on visuospatial processing , 2007, Psychiatry Research: Neuroimaging.

[30]  Nestor Matthews,et al.  The time course of the oblique effect in orientation judgments. , 2005, Journal of vision.

[31]  Gang Wang,et al.  Representation of cardinal contour overlaps less with representation of nearby angles in cat visual cortex. , 2003, Journal of neurophysiology.

[32]  G. Westheimer.  Meridional anisotropy in visual processing: implications for the neural site of the oblique effect , 2003, Vision Research.

[33]  R. Freeman,et al.  Oblique effect: a neural basis in the visual cortex. , 2003, Journal of neurophysiology.

[34]  Charles J Duffy,et al.  A visuospatial variant of mild cognitive impairment , 2003, Neurology.

[35]  Gang Wang,et al.  Difference in the representation of cardinal and oblique contours in cat visual cortex , 2003, Neuroscience Letters.

[36]  Guang Bin Liu,et al.  Orientation mosaic in barn owl’s visual Wulst revealed by optical imaging: comparison with cat and monkey striate and extra-striate areas , 2003, Brain Research.

[37]  E. Kaplan,et al.  Capacity to maintain mental set in dementia , 2002, Neuropsychologia.

[38]  Donna L. Mohr,et al.  Multiple Regression , 2002, Encyclopedia of Autism Spectrum Disorders.

[39]  E. Kaplan,et al.  Different underlying mechanisms for deficits in concept formation in dementia. , 2001, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[40]  E. Bullmore,et al.  Identifying Rate-Limiting Nodes in Large-Scale Cortical Networks for Visuospatial Processing: An Illustration using fMRI , 2001, Journal of Cognitive Neuroscience.

[41]  E. Kaplan,et al.  Boston Naming Test , 2001 .

[42]  B. Turetsky,et al.  An fMRI Study of Sex Differences in Regional Activation to a Verbal and a Spatial Task , 2000, Brain and Language.

[43]  C. Furmanski,et al.  An oblique effect in human primary visual cortex , 2000, Nature Neuroscience.

[44]  Guy A. Orban,et al.  The neuronal machinery involved in successive orientation discrimination , 1998, Progress in Neurobiology.

[45]  R. Uitti,et al.  Analysis of visuospatial errors in patients with Alzheimer's disease or Parkinson's disease. , 1998, Journal of clinical and experimental neuropsychology.

[46]  Jennifer D. Davis,et al.  Variable memory profiles in Parkinson's disease. , 1997, Journal of clinical and experimental neuropsychology.

[47]  T. Carew,et al.  Impairment in category fluency in ischemic vascular dementia. , 1997, Neuropsychology.

[48]  Dean C. Delis,et al.  Visual selective attention deficits in patients with Parkinson's disease: A quantitative model-based approach. , 1996 .

[49]  S M Kosslyn,et al.  Identifying objects seen from different viewpoints. A PET investigation. , 1994, Brain : a journal of neurology.

[50]  James H. Steiger,et al.  R2: A computer program for interval estimation, power Calculations, sample size estimation, and hypothesis testing in multiple regression , 1992 .

[51]  A. Benton,et al.  Visuospatial Judgment and Right Hemisphere Disease , 1992, Cortex.

[52]  B Ska,et al.  Line orientation judgment in normal elderly and subjects with dementia of Alzheimer's type. , 1990, Journal of clinical and experimental neuropsychology.

[53]  R Vogels,et al.  Decision factors affecting line orientation judgments in the method of single stimuli , 1986, Perception & psychophysics.

[54]  G. Orban,et al.  The effect of practice on the oblique effect in line orientation judgments , 1985, Vision Research.

[55]  Leslie G. Ungerleider,et al.  Object vision and spatial vision: two cortical pathways , 1983, Trends in Neurosciences.

[56]  Leslie G. Ungerleider,et al.  Contribution of striate inputs to the visuospatial functions of parieto-preoccipital cortex in monkeys , 1982, Behavioural Brain Research.

[57]  E. Essock.  The Oblique Effect of Stimulus Identification Considered with Respect to Two Classes of Oblique Effects , 1980, Perception.

[58]  G. Rizzolatti,et al.  The role of stimulus discriminability and verbal codability in hemispheric specialization for visuospatial tasks , 1979, Neuropsychologia.

[59]  A. Benton,et al.  Visuospatial judgment. A clinical test. , 1978, Archives of neurology.

[60]  S. Folstein,et al.  “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician , 1975 .

[61]  G. Rizzolatti,et al.  Hemispheric differences in the discrimination of line orientation. , 1974, Neuropsychologia.

[62]  S. Appelle.  Perception and discrimination as a function of stimulus orientation: the "oblique effect" in man and animals. , 1972, Psychological bulletin.

[63]  E. Renzi,et al.  Judgment of spatial orientation in patients with focal brain damage1 , 1971, Journal of neurology, neurosurgery, and psychiatry.

[64]  M. Lawton,et al.  Assessment of older people: self-maintaining and instrumental activities of daily living. , 1969, The Gerontologist.

[65]  Melissa Lamar,et al.  Assessing Working Memory in Mild Cognitive Impairment with Serial Order Recall. , 2018, Journal of Alzheimer's disease : JAD.

[66]  O. Spreen,et al.  Comprar A Compendium of Neuropsychological Tests - Administration, Norms, and Commentary | Esther Strauss | 9780195159578 | Oxford University Press , 2009 .

[67]  A. Benton,et al.  Clinical Evaluation of Visual Perception and Constructional Ability. , 2006 .

[68]  Trichur Raman Vidyasagar,et al.  Orientation sensitivity of cat LGN neurones with and without inputs from visual cortical areas 17 and 18 , 2004, Experimental Brain Research.

[69]  A. Benton,et al.  Visuoperceptual, visuospatial, and visuoconstructive disorders. , 1993 .

[70]  R. Reitan,et al.  The Halstead-Reitan neuropsychological test battery: Theory and clinical interpretation , 1993 .

[71]  J. Yesavage.  The use of self-rating depression scales in the elderly. , 1986 .

[72]  K. Davis,et al.  Handbook for clinical memory assessment of older adults , 1986 .

[73]  R. Bálint.  Seelenlähmung des “Schauens”, optische Ataxie, räumliche Störung der Aufmerksamkeit. pp. 51–66 , 1909 .