1
|
Abstract
Orientation perception is a fundamental property of the visual system and an important basic processing stage for visual scene perception. Neurophysiological studies have found broader tuning curves and increased noise in orientation-selective neurons of senescent monkeys and cats, results that suggest an age-related decline in orientation perception. However, behavioral studies in humans have found no evidence for such decline, with performance being comparable for younger and older participants in orientation detection and discrimination tasks. Crucially, previous behavioral studies assessed performance for cardinal orientation only, and it is well known that the human visual system prefers cardinal over oblique orientations, a phenomenon called the oblique effect. We hypothesized that age-related changes depend on the orientation tested. In two experiments, we investigated orientation discrimination and reproduction for a large range of cardinal and oblique orientations in younger and older adults. We found substantial age-related decline for oblique but not for cardinal orientations, thus demonstrating that orientation perception selectively declines for oblique orientations. Taken together, our results serve as the missing link between previous neurophysiological and human behavioral studies on orientation perception in healthy aging.
Collapse
Affiliation(s)
- Karin S Pilz
- Department of Experimental Psychology, University of Groningen, The Netherlands.,
| | - Juho M Äijälä
- School of Psychology, University of Aberdeen, Scotland, UK.,
| | - Mauro Manassi
- School of Psychology, University of Aberdeen, Scotland, UK.,
| |
Collapse
|
2
|
Ruiz LD, Brown M, Li Y, Boots EA, Barnes LL, Jason L, Zenk S, Clarke P, Lamar M. Neighborhood Socioeconomic Resources and Crime-Related Psychosocial Hazards, Stroke Risk, and Cognition in Older Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105122. [PMID: 34066049 PMCID: PMC8151671 DOI: 10.3390/ijerph18105122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 05/01/2021] [Accepted: 05/08/2021] [Indexed: 12/23/2022]
Abstract
Living in neighborhoods with lower incomes, lower education/occupational levels, and/or higher crime increases one’s risk of developing chronic health problems including cardiovascular disease risk factors and stroke. These cardiovascular health problems are known to contribute to cognitive decline and dementia. The purpose of this study was to determine the association of neighborhood socioeconomic resources and crime-related psychosocial hazards on stroke risk and cognition, hypothesizing that cardiovascular health would mediate any relationship between the neighborhood-level environment and cognition. The study evaluated 121 non-demented Chicago-area adults (~67 years; 40% non-Latino White) for cardiovascular health problems using the Framingham Stroke Risk Profile 10-year risk of stroke (FSRP-10). The cognitive domains that were tested included memory, executive functioning, and attention/information processing. Neighborhood socioeconomic resources were quantified at the census tract level (income, education, and occupation); crime-related psychosocial hazards were quantified at the point level. Structural equation modeling (SEM) did not show that the FSRP-10 mediated the relationship between neighborhood characteristics and domain-specific cognition. The SEM results did suggest that higher crime rates were associated with a higher FSRP-10 (β(105) = 2.38, p = 0.03) and that higher FSRP-10 is associated with reduced attention/information processing performance (β(105) = −0.04, p = 0.02) after accounting for neighborhood socioeconomic resources. Clinicians may wish to query not only individual but also neighborhood-level health when considering cognition.
Collapse
Affiliation(s)
- Linda D. Ruiz
- College of Science and Health, DePaul University, Chicago, IL 60604, USA; (L.D.R.); (M.B.); (Y.L.); (L.J.)
| | - Molly Brown
- College of Science and Health, DePaul University, Chicago, IL 60604, USA; (L.D.R.); (M.B.); (Y.L.); (L.J.)
| | - Yan Li
- College of Science and Health, DePaul University, Chicago, IL 60604, USA; (L.D.R.); (M.B.); (Y.L.); (L.J.)
| | - Elizabeth A. Boots
- Department of Psychology, University of Illinois at Chicago, Chicago, IL 60607, USA;
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA;
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA;
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Leonard Jason
- College of Science and Health, DePaul University, Chicago, IL 60604, USA; (L.D.R.); (M.B.); (Y.L.); (L.J.)
| | - Shannon Zenk
- Department of Health Systems Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA;
| | - Philippa Clarke
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA;
| | - Melissa Lamar
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA;
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA
- Correspondence:
| |
Collapse
|
3
|
Chen Y, Tang H, Guo L, Peven JC, Huang H, Leow AD, Lamar M, Zhan L. A GENERALIZED FRAMEWORK OF PATHLENGTH ASSOCIATED COMMUNITY ESTIMATION FOR BRAIN STRUCTURAL NETWORK. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING 2020; 2020:288-291. [PMID: 33173559 PMCID: PMC7652406 DOI: 10.1109/isbi45749.2020.9098552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Diffusion MRI-derived brain structural network has been widely used in brain research and community or modular structure is one of popular network features, which can be extracted from network edge-derived pathlengths. Conceptually, brain structural network edges represent the connecting strength between pair of nodes, thus non-negative. The pathlength. Many studies have demonstrated that each brain network edge can be affected by many confounding factors (e.g. age, sex, etc.) and this influence varies on each edge. However, after applying generalized linear regression to remove those confounding's effects, some network edges may become negative, which leads to barriers in extracting the community structure. In this study, we propose a novel generalized framework to solve this negative edge issue in extracting the modular structure from brain structural network. We have compared our framework with traditional Q method. The results clearly demonstrated that our framework has significant advantages in both stability and sensitivity.
Collapse
Affiliation(s)
- Yurong Chen
- Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA
| | - Haoteng Tang
- Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA
| | - Lei Guo
- Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA
| | - Jamie C Peven
- Department of Psychology, University of Pittsburgh, PA, USA
| | - Heng Huang
- Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA
| | - Alex D Leow
- Department of Psychiatry, University of Illinois at Chicago, IL, USA
| | - Melissa Lamar
- Rush Alzheimer's Disease Center, Rush University Medical Center, IL, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, IL, USA
| | - Liang Zhan
- Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA
| |
Collapse
|
4
|
Wasserman V, Emrani S, Matusz EF, Peven J, Cleary S, Price CC, Ginsberg TB, Swenson R, Heilman KM, Lamar M, Libon DJ. Visuospatial performance in patients with statistically-defined mild cognitive impairment. J Clin Exp Neuropsychol 2020; 42:319-328. [PMID: 31973657 PMCID: PMC7224008 DOI: 10.1080/13803395.2020.1714550] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 12/26/2019] [Indexed: 02/08/2023]
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.
Collapse
Affiliation(s)
| | - Sheina Emrani
- Department of Psychology, Rowan University, Stratford, NF
| | - Emily F. Matusz
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
| | - Jamie Peven
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA
| | - Seana Cleary
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
| | - Catherine C. Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Terrie Beth Ginsberg
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
| | - Rod Swenson
- University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND
| | - Kenneth M. Heilman
- Department of Neurology, University of Florida College of Medicine, Neurologist-Geriatric Research, Education and Clinical Center, Malcom Randall Veterans Affairs Medical Center, Gainesville, FL
| | - Melissa Lamar
- Department of Behavioral Sciences and the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
| | - David J. Libon
- Department of Psychology, Rowan University, Stratford, NF
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
| |
Collapse
|