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Pitigoi IC, Coe BC, Calancie OG, Brien DC, Yep R, Riek HC, Kirkpatrick RH, Noyes BK, White BJ, Blohm G, Munoz DP. Attentional modulation of eye blinking is altered by sex, age, and task structure. eNeuro 2024; 11:ENEURO.0296-23.2024. [PMID: 38331578 PMCID: PMC10915461 DOI: 10.1523/eneuro.0296-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 01/15/2024] [Accepted: 02/05/2024] [Indexed: 02/10/2024] Open
Abstract
Spontaneous eye blinking is gaining popularity as a proxy for higher cognitive functions, as it is readily modulated by both environmental demands and internal processes. Prior studies were impoverished in sample size, sex representation and age distribution, making it difficult to establish a complete picture of the behavior. Here we present eye-tracking data from a large cohort of normative participants (n=604, 393 F, aged 5-93 years) performing two tasks: one with structured, discrete trials (interleaved pro/anti-saccade task; IPAST) and one with a less structured, continuous organization in which participants watch movies (free-viewing; FV). Sex- and age-based analyses revealed that females had higher blink rates between the ages of 22 and 58 years in the IPAST, and 22 and 34 years in FV. We derived a continuous measure of blink probability to reveal behavioral changes driven by stimulus appearance in both paradigms. In the IPAST, blinks were suppressed near stimulus appearance, particularly on correct anti-saccade trials, which we attribute to the stronger inhibitory control required for anti-saccades compared to pro-saccades. In FV, blink suppression occurred immediately after scene changes, and the effect was sustained on scenes where gaze clustered among participants (indicating engagement of attention). Females were more likely than males to blink during appearance of novel stimuli in both tasks, but only within the age bin of 18-44 years. The consistency of blink patterns in each paradigm endorses blinking as a sensitive index for changes in visual processing and attention, while sex and age differences drive interindividual variability.Significance Statement Eye-tracking is becoming useful as a non-invasive tool for detecting preclinical markers of neurological and psychiatric disease. Blinks are understudied despite being an important supplement to saccade and pupil eye-tracking metrics. The present study is a crucial step in developing a healthy baseline for blink behavior to compare to clinical groups. While many prior blink studies suffered from small sample sizes with relatively low age- and sex-diversity (review by Jongkees & Colzato, 2016), our large cohort of healthy participants has permitted a more detailed analysis of sex and age effects in blink behavior. Furthermore, our analysis techniques are robust to temporal changes in blink probability, greatly clarifying the relationship between blinking, visual processing, and inhibitory control mechanisms on visual tasks.
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Affiliation(s)
- Isabell C Pitigoi
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Brian C Coe
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Olivia G Calancie
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Donald C Brien
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Rachel Yep
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Heidi C Riek
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Ryan H Kirkpatrick
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Blake K Noyes
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Brian J White
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Gunnar Blohm
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6
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2
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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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [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
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 twelve behavioural parameters, selected to robustly describe saccade behaviour, derived from an interleaved pro- and antisaccade task in a large cross-sectional dataset comprising five disease cohorts (Alzheimer’s disease/mild cognitive impairment, amyotrophic lateral sclerosis, frontotemporal dementia, Parkinson’s disease, 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 twelve 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 (preemptive 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 pro- 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
- Correspondence to: Heidi C. Riek Centre for Neuroscience Studies, Queen’s University Botterell Hall, 18 Stuart Street Kingston, ON K7L 3N6, Canada E-mail:
| | - 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
- Present address: Data Science and Advanced Analytics, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario M5B 1W8, 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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3
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Brien DC, Riek HC, Yep R, Huang J, Coe B, Areshenkoff C, Grimes D, Jog M, Lang A, Marras C, Masellis M, McLaughlin P, Peltsch A, Roberts A, Tan B, Beaton D, Lou W, Swartz R, Munoz DP. Classification and staging of Parkinson's disease using video-based eye tracking. Parkinsonism Relat Disord 2023; 110:105316. [PMID: 36822878 DOI: 10.1016/j.parkreldis.2023.105316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 01/11/2023] [Accepted: 02/04/2023] [Indexed: 02/10/2023]
Abstract
INTRODUCTION 83% of those diagnosed with Parkinson's Disease (PD) eventually progress to PD with mild cognitive impairment (PD-MCI) followed by dementia (PDD) - suggesting a complex spectrum of pathology concomitant with aging. Biomarkers sensitive and specific to this spectrum are required if useful diagnostics are to be developed that may supplement current clinical testing procedures. We used video-based eye tracking and machine learning to develop a simple, non-invasive test sensitive to PD and the stages of cognitive dysfunction. METHODS From 121 PD (45 Cognitively Normal/45 MCI/20 Dementia/11 Other) and 106 healthy controls, we collected video-based eye tracking data on an interleaved pro/anti-saccade task. Features of saccade, pupil, and blink behavior were used to train a classifier to predict confidence scores for PD/PD-MCI/PDD diagnosis. RESULTS The Receiver Operator Characteristic Area Under the Curve (ROC-AUC) of the classifier was 0.88, with the cognitive-dysfunction subgroups showing progressively increased AUC, and the AUC of PDD being 0.95. The classifier reached a sensitivity of 83% and a specificity of 78%. The confidence scores predicted PD motor and cognitive performance scores. CONCLUSION Biomarkers of saccade, pupil, and blink were extracted from video-based eye tracking to create a classifier with high sensitivity to the landscape of PD cognitive and motor dysfunction. A complex landscape of PD is revealed through a quick, non-invasive eye tracking task and our model provides a framework for such a task to be used as a supplementary screening tool in the clinic.
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Affiliation(s)
- Donald C Brien
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - Heidi C Riek
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - Rachel Yep
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - Jeff Huang
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - Brian Coe
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - Corson Areshenkoff
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - David Grimes
- Ottawa Hospital, uOttawa Brain and Mind Research Institute, Ottawa, ON, Canada.
| | - Mandar Jog
- PF Centre of Excellence, London Movement Disorders Centre, Lawson Health Research Institute, London, ON, Canada.
| | - Anthony Lang
- Edmond J. Safra Program in Parkinson's Disease, University Health Network and the Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada.
| | - Connie Marras
- Toronto Western Hospital Movement Disorders Centre and the Edmond J Safra Program in Parkinson's Disease, University of Toronto, Toronto, ON, Canada.
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Medicine (Neurology), Toronto, ON, Canada.
| | - Paula McLaughlin
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada; Nova Scotia Health, Halifax, NS, Canada; Department of Psychology and Neuroscience, Department of Medicine (Geriatrics), Dalhousie University, Halifax, NS, Canada.
| | - Alicia Peltsch
- Faculty of Engineering and Applied Science, Queen's University, Kingston, ON, Canada.
| | - Angela Roberts
- School of Communication Sciences and Disorders, Department of Computer Science, University of Western Ontario, London, ON, Canada.
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada.
| | - Derek Beaton
- Data Science & Advanced Analytics (DSAA), St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| | - Richard Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre; Faculty of Medicine, Department of Medicine (Neurology), University of Toronto, Toronto, ON, Canada.
| | | | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, 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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [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
- *Correspondence: Rachel Yep,
| | | | - 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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Chen JT, Yep R, Hsu YF, Cherng YG, Wang CA. Investigating Arousal, Saccade Preparation, and Global Luminance Effects on Microsaccade Behavior. Front Hum Neurosci 2021; 15:602835. [PMID: 33746722 PMCID: PMC7973374 DOI: 10.3389/fnhum.2021.602835] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 02/09/2021] [Indexed: 11/28/2022] Open
Abstract
Microsaccades, small saccadic eye movements occurring during fixation, have been suggested to be modulated by various sensory, cognitive, and affective processes relating to arousal. Although the modulation of fatigue-related arousal on microsaccade behavior has previously been characterized, the influence of other aspects of arousal, such as emotional arousal, is less understood. Moreover, microsaccades are modulated by cognitive processes (e.g., voluntary saccade preparation) that could also be linked to arousal. To investigate the influence of emotional arousal, saccade preparation, and global luminance levels on microsaccade behavior, emotional auditory stimuli were presented prior to the onset of a fixation cue whose color indicated to look either at the peripheral stimulus (pro-saccade) or in the opposite direction of the stimulus (anti-saccade). Microsaccade behavior was found to be significantly modulated by saccade preparation and global luminance level, but not emotional arousal. In the pro- and anti-saccade task, microsaccade rate was lower during anti-saccade preparation as compared to pro-saccade preparation, though microsaccade dynamics were comparable during both trial types. Our results reveal a differential role of arousal linked to emotion, fatigue, saccade preparation, and global luminance level on microsaccade behavior.
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Affiliation(s)
- Jui-Tai Chen
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, Taipei City, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
| | - Rachel Yep
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Yu-Fan Hsu
- Research Center of Brain and Consciousness, Shuang Ho Hospital, Taipei Medical University, Taipei City, Taiwan
- Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei City, Taiwan
| | - Yih-Giun Cherng
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, Taipei City, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
| | - Chin-An Wang
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, Taipei City, Taiwan
- Research Center of Brain and Consciousness, Shuang Ho Hospital, Taipei Medical University, Taipei City, Taiwan
- Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei City, Taiwan
- Institute of Cognitive Neuroscience, College of Health Science and Technology, National Central University, Taoyuan City, Taiwan
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Yep R, Soncin S, Brien DC, Coe BC, Marin A, Munoz DP. Using an emotional saccade task to characterize executive functioning and emotion processing in attention-deficit hyperactivity disorder and bipolar disorder. Brain Cogn 2018; 124:1-13. [PMID: 29698907 DOI: 10.1016/j.bandc.2018.04.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 04/11/2018] [Accepted: 04/15/2018] [Indexed: 01/02/2023]
Abstract
Despite distinct diagnostic criteria, attention-deficit hyperactivity disorder (ADHD) and bipolar disorder (BD) share cognitive and emotion processing deficits that complicate diagnoses. The goal of this study was to use an emotional saccade task to characterize executive functioning and emotion processing in adult ADHD and BD. Participants (21 control, 20 ADHD, 20 BD) performed an interleaved pro/antisaccade task (look toward vs. look away from a visual target, respectively) in which the sex of emotional face stimuli acted as the cue to perform either the pro- or antisaccade. Both patient groups made more direction (erroneous prosaccades on antisaccade trials) and anticipatory (saccades made before cue processing) errors than controls. Controls exhibited lower microsaccade rates preceding correct anti- vs. prosaccade initiation, but this task-related modulation was absent in both patient groups. Regarding emotion processing, the ADHD group performed worse than controls on neutral face trials, while the BD group performed worse than controls on trials presenting faces of all valence. These findings support the role of fronto-striatal circuitry in mediating response inhibition deficits in both ADHD and BD, and suggest that such deficits are exacerbated in BD during emotion processing, presumably via dysregulated limbic system circuitry involving the anterior cingulate and orbitofrontal cortex.
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Affiliation(s)
- Rachel Yep
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - Stephen Soncin
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Donald C Brien
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Brian C Coe
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Alina Marin
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada; Department of Psychiatry, Hotel Dieu Hospital, Kingston, ON, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
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