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Riek HC, Brien DC, Coe BC, Huang J, Perkins JE, Yep R, McLaughlin PM, Orange JB, Peltsch AJ, Roberts AC, Binns MA, Lou W, Abrahao A, Arnott SR, Beaton D, Black SE, Dowlatshahi D, Finger E, Fischer CE, Frank AR, Grimes DA, Kumar S, Lang AE, Lawrence-Dewar JM, Mandzia JL, Marras C, Masellis M, Pasternak SH, Pollock BG, Rajji TK, Sahlas DJ, Saposnik G, Seitz DP, Shoesmith C, Steeves TDL, Strother SC, Sunderland KM, Swartz RH, Tan B, Tang-Wai DF, Tartaglia MC, Turnbull J, Zinman L, Munoz DP. Cognitive correlates of antisaccade behaviour across multiple neurodegenerative diseases. Brain Commun 2023; 5:fcad049. [PMID: 36970045 PMCID: PMC10036290 DOI: 10.1093/braincomms/fcad049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/01/2022] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Oculomotor tasks generate a potential wealth of behavioural biomarkers for neurodegenerative diseases. Overlap between oculomotor and disease-impaired circuitry reveals the location and severity of disease processes via saccade parameters measured from eye movement tasks such as prosaccade and antisaccade. Existing studies typically examine few saccade parameters in single diseases, using multiple separate neuropsychological test scores to relate oculomotor behaviour to cognition; however, this approach produces inconsistent, ungeneralizable results and fails to consider the cognitive heterogeneity of these diseases. Comprehensive cognitive assessment and direct inter-disease comparison are crucial to accurately reveal potential saccade biomarkers. We remediate these issues by characterizing 12 behavioural parameters, selected to robustly describe saccade behaviour, derived from an interleaved prosaccade and antisaccade task in a large cross-sectional data set comprising five disease cohorts (Alzheimer's disease/mild cognitive impairment, amyotrophic lateral sclerosis, frontotemporal dementia, Parkinson's disease, and cerebrovascular disease; n = 391, age 40-87) and healthy controls (n = 149, age 42-87). These participants additionally completed an extensive neuropsychological test battery. We further subdivided each cohort by diagnostic subgroup (for Alzheimer's disease/mild cognitive impairment and frontotemporal dementia) or degree of cognitive impairment based on neuropsychological testing (all other cohorts). We sought to understand links between oculomotor parameters, their relationships to robust cognitive measures, and their alterations in disease. We performed a factor analysis evaluating interrelationships among the 12 oculomotor parameters and examined correlations of the four resultant factors to five neuropsychology-based cognitive domain scores. We then compared behaviour between the abovementioned disease subgroups and controls at the individual parameter level. We theorized that each underlying factor measured the integrity of a distinct task-relevant brain process. Notably, Factor 3 (voluntary saccade generation) and Factor 1 (task disengagements) significantly correlated with attention/working memory and executive function scores. Factor 3 also correlated with memory and visuospatial function scores. Factor 2 (pre-emptive global inhibition) correlated only with attention/working memory scores, and Factor 4 (saccade metrics) correlated with no cognitive domain scores. Impairment on several mostly antisaccade-related individual parameters scaled with cognitive impairment across disease cohorts, while few subgroups differed from controls on prosaccade parameters. The interleaved prosaccade and antisaccade task detects cognitive impairment, and subsets of parameters likely index disparate underlying processes related to different cognitive domains. This suggests that the task represents a sensitive paradigm that can simultaneously evaluate a variety of clinically relevant cognitive constructs in neurodegenerative and cerebrovascular diseases and could be developed into a screening tool applicable to multiple diagnoses.
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Affiliation(s)
- Heidi C Riek
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario K7L 3N6Canada
| | - Donald C Brien
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario K7L 3N6Canada
| | - Brian C Coe
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario K7L 3N6Canada
| | - Jeff Huang
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario K7L 3N6Canada
| | - Julia E Perkins
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario K7L 3N6Canada
| | - Rachel Yep
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario K7L 3N6Canada
| | - Paula M McLaughlin
- Nova Scotia Health, Halifax, Nova Scotia B3S 0H6, Canada
- Department of Medicine (Geriatrics), Dalhousie University, Halifax, Nova Scotia B3H 2Y9, Canada
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Joseph B Orange
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Western University, London, Ontario N6G 1H1, Canada
- Canadian Centre for Activity and Aging, Faculty of Health Sciences, Western University, London, Ontario N6G 1H1, Canada
| | - Alicia J Peltsch
- Faculty of Engineering and Applied Science, Queen’s University, Kingston Ontario K7L 3N6, Canada
| | - Angela C Roberts
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Western University, London, Ontario N6G 1H1, Canada
- Department of Computer Science, Western University, London, Ontario N6A 5B7, Canada
| | - Malcolm A Binns
- Rotman Research Institute, Baycrest Centre, North York, Ontario M6A 2E1, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 3M7, Canada
| | - Agessandro Abrahao
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario M4N 3M5, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Centre, North York, Ontario M6A 2E1, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Centre, North York, Ontario M6A 2E1, Canada
| | - Sandra E Black
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario M4N 3M5, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), University of Ottawa, Ottawa, Ontario K1H 8M5, Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario K1Y 4E9, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 3K7, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Toronto, Ontario M5B 1W8, Canada
| | - Andrew R Frank
- Department of Medicine (Neurology), University of Ottawa, Ottawa, Ontario K1H 8M5, Canada
- Bruyere Research Institute, Ottawa, Ontario K1R 6M1, Canada
| | - David A Grimes
- Department of Medicine (Neurology), University of Ottawa, Ottawa, Ontario K1H 8M5, Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario K1Y 4E9, Canada
- University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, Ontario K1H 8M5, Canada
| | - Sanjeev Kumar
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario M6J 1H4, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Anthony E Lang
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Edmond J. Safra Program in Parkinson’s Disease, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Jane M Lawrence-Dewar
- Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario P7B 7A5, Canada
| | - Jennifer L Mandzia
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 3K7, Canada
- London Health Sciences Centre, London, Ontario N6A 5W9, Canada
| | - Connie Marras
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Edmond J. Safra Program in Parkinson’s Disease, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario M4N 3M5, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Cognitive and Movement Disorders Clinic, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada
| | - Stephen H Pasternak
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 3K7, Canada
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 5B7, Canada
- Cognitive Neurology and Alzheimer’s Disease Research Centre, Parkwood Institute, St. Joseph’s Health Care, London, Ontario N6A 4V2, Canada
| | - Bruce G Pollock
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario M6J 1H4, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Tarek K Rajji
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada
- Toronto Dementia Research Alliance, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Demetrios J Sahlas
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario L8N 3Z5, Canada
| | - Gustavo Saposnik
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario M5S 3H2, Canada
| | - Dallas P Seitz
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Christen Shoesmith
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 3K7, Canada
- London Health Sciences Centre, London, Ontario N6A 5W9, Canada
| | - Thomas D L Steeves
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Division of Neurology, St. Michael’s Hospital, Toronto, Ontario M5B 1W8, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Centre, North York, Ontario M6A 2E1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
| | - Kelly M Sunderland
- Rotman Research Institute, Baycrest Centre, North York, Ontario M6A 2E1, Canada
| | - Richard H Swartz
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario M4N 3M5, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Centre, North York, Ontario M6A 2E1, Canada
| | - David F Tang-Wai
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario M5S 3H2, Canada
- University Health Network Memory Clinic, Krembil Brain Institute, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Maria Carmela Tartaglia
- University Health Network Memory Clinic, Krembil Brain Institute, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - John Turnbull
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario L8N 3Z5, Canada
| | - Lorne Zinman
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Ontario M5S 3H2, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario M4N 3M5, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario K7L 3N6Canada
- Department of Biomedical and Molecular Sciences, Queen’s University, Kingston, Ontario K7L 3N6, Canada
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Yep R, Smorenburg ML, Riek HC, Calancie OG, Kirkpatrick RH, Perkins JE, Huang J, Coe BC, Brien DC, Munoz DP. Interleaved Pro/Anti-saccade Behavior Across the Lifespan. Front Aging Neurosci 2022; 14:842549. [PMID: 35663573 PMCID: PMC9159803 DOI: 10.3389/fnagi.2022.842549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/02/2022] [Indexed: 11/13/2022] Open
Abstract
The capacity for inhibitory control is an important cognitive process that undergoes dynamic changes over the course of the lifespan. Robust characterization of this trajectory, considering age continuously and using flexible modeling techniques, is critical to advance our understanding of the neural mechanisms that differ in healthy aging and neurological disease. The interleaved pro/anti-saccade task (IPAST), in which pro- and anti-saccade trials are randomly interleaved within a block, provides a simple and sensitive means of assessing the neural circuitry underlying inhibitory control. We utilized IPAST data collected from a large cross-sectional cohort of normative participants (n = 604, 5-93 years of age), standardized pre-processing protocols, generalized additive modeling, and change point analysis to investigate the effect of age on saccade behavior and identify significant periods of change throughout the lifespan. Maturation of IPAST measures occurred throughout adolescence, while subsequent decline began as early as the mid-20s and continued into old age. Considering pro-saccade correct responses and anti-saccade direction errors made at express (short) and regular (long) latencies was crucial in differentiating developmental and aging processes. We additionally characterized the effect of age on voluntary override time, a novel measure describing the time at which voluntary processes begin to overcome automated processes on anti-saccade trials. Drawing on converging animal neurophysiology, human neuroimaging, and computational modeling literature, we propose potential frontal-parietal and frontal-striatal mechanisms that may mediate the behavioral changes revealed in our analysis. We liken the models presented here to "cognitive growth curves" which have important implications for improved detection of neurological disease states that emerge during vulnerable windows of developing and aging.
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Affiliation(s)
- Rachel Yep
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | | | - Heidi C. Riek
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Olivia G. Calancie
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Ryan H. Kirkpatrick
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
- Department of Medicine, Queen’s University, Kingston, ON, Canada
| | - Julia E. Perkins
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Jeff Huang
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Brian C. Coe
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Donald C. Brien
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Douglas P. Munoz
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
- Department of Medicine, Queen’s University, Kingston, ON, Canada
- Department of Biomedical and Molecular Sciences, Queen’s University, Kingston, ON, Canada
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11
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Bells S, Isabella SL, Brien DC, Coe BC, Munoz DP, Mabbott DJ, Cheyne DO. Mapping neural dynamics underlying saccade preparation and execution and their relation to reaction time and direction errors. Hum Brain Mapp 2020; 41:1934-1949. [PMID: 31916374 PMCID: PMC7268073 DOI: 10.1002/hbm.24922] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 12/18/2019] [Accepted: 12/29/2019] [Indexed: 12/21/2022] Open
Abstract
Our ability to control and inhibit automatic behaviors is crucial for negotiating complex environments, all of which require rapid communication between sensory, motor, and cognitive networks. Here, we measured neuromagnetic brain activity to investigate the neural timing of cortical areas needed for inhibitory control, while 14 healthy young adults performed an interleaved prosaccade (look at a peripheral visual stimulus) and antisaccade (look away from stimulus) task. Analysis of how neural activity relates to saccade reaction time (SRT) and occurrence of direction errors (look at stimulus on antisaccade trials) provides insight into inhibitory control. Neuromagnetic source activity was used to extract stimulus‐aligned and saccade‐aligned activity to examine temporal differences between prosaccade and antisaccade trials in brain regions associated with saccade control. For stimulus‐aligned antisaccade trials, a longer SRT was associated with delayed onset of neural activity within the ipsilateral parietal eye field (PEF) and bilateral frontal eye field (FEF). Saccade‐aligned activity demonstrated peak activation 10ms before saccade‐onset within the contralateral PEF for prosaccade trials and within the bilateral FEF for antisaccade trials. In addition, failure to inhibit prosaccades on anti‐saccade trials was associated with increased activity prior to saccade onset within the FEF contralateral to the peripheral stimulus. This work on dynamic activity adds to our knowledge that direction errors were due, at least in part, to a failure to inhibit automatic prosaccades. These findings provide novel evidence in humans regarding the temporal dynamics within oculomotor areas needed for saccade programming and the role frontal brain regions have on top‐down inhibitory control.
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Affiliation(s)
- Sonya Bells
- Program in Neurosciences and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Silvia L Isabella
- Program in Neurosciences and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Institute of Medical Sciences, Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Donald C Brien
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Brian C Coe
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Donald J Mabbott
- Program in Neurosciences and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Douglas O Cheyne
- Program in Neurosciences and Mental Health, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.,Institute of Medical Sciences, Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
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