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Nougaret S, López-Galdo L, Caytan E, Poitreau J, Barthélemy FV, Kilavik BE. Low and high beta rhythms have different motor cortical sources and distinct roles in movement control and spatiotemporal attention. PLoS Biol 2024; 22:e3002670. [PMID: 38917200 PMCID: PMC11198906 DOI: 10.1371/journal.pbio.3002670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 05/08/2024] [Indexed: 06/27/2024] Open
Abstract
Low and high beta frequency rhythms were observed in the motor cortex, but their respective sources and behavioral correlates remain unknown. We studied local field potentials (LFPs) during pre-cued reaching behavior in macaques. They contained a low beta band (<20 Hz) dominant in primary motor cortex and a high beta band (>20 Hz) dominant in dorsal premotor cortex (PMd). Low beta correlated positively with reaction time (RT) from visual cue onset and negatively with uninstructed hand postural micro-movements throughout the trial. High beta reflected temporal task prediction, with selective modulations before and during cues, which were enhanced in moments of increased focal attention when the gaze was on the work area. This double-dissociation in sources and behavioral correlates of motor cortical low and high beta, with respect to both task-instructed and spontaneous behavior, reconciles the largely disparate roles proposed for the beta rhythm, by suggesting band-specific roles in both movement control and spatiotemporal attention.
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Affiliation(s)
- Simon Nougaret
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Laura López-Galdo
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Emile Caytan
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Julien Poitreau
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
| | - Frédéric V. Barthélemy
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
- Institute of Neuroscience and Medicine (INM-6), Jülich Research Centre, Jülich, Germany
| | - Bjørg Elisabeth Kilavik
- Institut de Neurosciences de la Timone (INT), UMR 7289, Aix-Marseille Université, CNRS, Marseille, France
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Cao L, Palmisano C, Chen X, Isaias IU, Händel BF. Spontaneous blink-related beta power increase and theta phase reset in subthalamic nucleus of Parkinson patients during walking. Clin Neurophysiol 2024; 161:17-26. [PMID: 38432185 DOI: 10.1016/j.clinph.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 12/20/2023] [Accepted: 02/11/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Both blinking and walking are altered in Parkinson's disease and both motor outputs have been shown to be linked in healthy subjects. Additionally, studies suggest an involvement of basal ganglia activity and striatal dopamine in blink generation. We investigated the role of the basal ganglia circuitry on spontaneous blinking and if this role is dependent on movement state and striatal dopamine. METHODS We analysed subthalamic nucleus (STN) activity in seven chronically implanted patients for deep brain stimulation (DBS) with respect to blinks and movement state (resting state and unperturbed walking). Neurophysiological recordings were combined with individual molecular brain imaging assessing the dopamine reuptake transporter (DAT) density for the left and right striatum separately. RESULTS We found a significantly higher blink rate during walking compared to resting. The blink rate during walking positively correlated with the DAT density of the left caudate nucleus. During walking only, spontaneous blinking was followed by an increase in the right STN beta power and a bilateral subthalamic phase reset in the low frequencies. The right STN blink-related beta power modulation correlated negatively with the DAT density of the contralateral putamen. The left STN blink-related beta power correlated with the DAT density of the putamen in the less dopamine-depleted hemisphere. Both correlations were specific to the walking condition and to beta power following a blink. CONCLUSION Our findings show that spontaneous blinking is related to striatal dopamine and has a frequency specific deployment in the STN. This correlation depends on the current movement state such as walking. SIGNIFICANCE This work indicates that subcortical activity following a motor event as well as the relationship between dopamine and motor events can be dependent on the motor state. Accordingly, disease related changes in brain activity should be assessed during natural movement.
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Affiliation(s)
- Liyu Cao
- Department of Psychology and Behavioural Sciences, Zhejiang University, Hangzhou, China; Department of Psychology (III), Julius-Maximilian-University of Würzburg, Würzburg, Germany
| | - Chiara Palmisano
- Department of Neurology, University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Xinyu Chen
- Department of Psychology (III), Julius-Maximilian-University of Würzburg, Würzburg, Germany
| | - Ioannis U Isaias
- Department of Neurology, University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany; Parkinson Institute Milan, ASST G. Pini CTO, Milano, Italy
| | - Barbara F Händel
- Department of Psychology (III), Julius-Maximilian-University of Würzburg, Würzburg, Germany; Department of Neurology, University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany.
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Gunther KE, Fu X, MacNeill LA, Jones M, Ermanni B, Pérez-Edgar K. Now it's your turn!: Eye blink rate in a Jenga task modulated by interaction of task wait times, effortful control, and internalizing behaviors. PLoS One 2024; 19:e0294888. [PMID: 38457390 PMCID: PMC10923458 DOI: 10.1371/journal.pone.0294888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 11/10/2023] [Indexed: 03/10/2024] Open
Abstract
Dopamine is a versatile neurotransmitter with implications in many domains, including anxiety and effortful control. Where high levels of effortful control are often regarded as adaptive, other work suggests that high levels of effortful control may be a risk factor for anxiety. Dopamine signaling may be key in understanding these relations. Eye blink rate is a non-invasive proxy metric of midbrain dopamine activity. However, much work with eye blink rate has been constrained to screen-based tasks which lack in ecological validity. We tested whether changes in eye blink rate during a naturalistic effortful control task differ as a function of parent-reported effortful control and internalizing behaviors. Children played a Jenga-like game with an experimenter, but for each trial the experimenter took an increasingly long time to take their turn. Blinks-per-second were computed during each wait period. Multilevel modeling examined the relation between duration of wait period, effortful control, and internalizing behaviors on eye blink rate. We found a significant 3-way interaction between effortful control, internalizing behaviors, and duration of the wait period. Probing this interaction revealed that for children with low reported internalizing behaviors (-1 SD) and high reported effortful control (+1 SD), eye blink rate significantly decreased as they waited longer to take their turn. These findings index task-related changes in midbrain dopamine activity in relation to naturalistic task demands, and that these changes may vary as a function of individual differences in effortful control and internalizing behaviors. We discuss possible top-down mechanisms that may underlie these differences.
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Affiliation(s)
- Kelley E. Gunther
- Department of Psychology, Yale University, New Haven, CT, United States of America
| | - Xiaoxue Fu
- Department of Psychology, The University of South Carolina, Columbia, SC, United States of America
| | - Leigha A. MacNeill
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Morgan Jones
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, United States of America
| | - Briana Ermanni
- Department of Psychology, Virginia Tech, Blacksburg, VA, United States of America
| | - Koraly Pérez-Edgar
- Department of Psychology, The Pennsylvania State University, State College, PA, United States of America
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Le Cunff AL, Dommett E, Giampietro V. Neurophysiological measures and correlates of cognitive load in attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and dyslexia: A scoping review and research recommendations. Eur J Neurosci 2024; 59:256-282. [PMID: 38109476 DOI: 10.1111/ejn.16201] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 10/27/2023] [Accepted: 11/06/2023] [Indexed: 12/20/2023]
Abstract
Working memory is integral to a range of critical cognitive functions such as reasoning and decision-making. Although alterations in working memory have been observed in neurodivergent populations, there has been no review mapping how cognitive load is measured in common neurodevelopmental conditions such as attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and dyslexia. This scoping review explores the neurophysiological measures used to study cognitive load in these specific populations. Our findings highlight that electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are the most frequently used methods, with a limited number of studies employing functional near-infrared spectroscopy (fNIRs), magnetoencephalography (MEG) or eye-tracking. Notably, eye-related measures are less commonly used, despite their prominence in cognitive load research among neurotypical individuals. The review also highlights potential correlates of cognitive load, such as neural oscillations in the theta and alpha ranges for EEG studies, blood oxygenation level-dependent (BOLD) responses in lateral and medial frontal brain regions for fMRI and fNIRS studies and eye-related measures such as pupil dilation and blink rate. Finally, critical issues for future studies are discussed, including the technical challenges associated with multimodal approaches, the possible impact of atypical features on cognitive load measures and balancing data richness with participant well-being. These insights contribute to a more nuanced understanding of cognitive load measurement in neurodivergent populations and point to important methodological considerations for future neuroscientific research in this area.
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Affiliation(s)
- Anne-Laure Le Cunff
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Eleanor Dommett
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Vincent Giampietro
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Foucher JR, Hirjak D, Walther S, Dormegny-Jeanjean LC, Humbert I, Mainberger O, de Billy CC, Schorr B, Vercueil L, Rogers J, Ungvari G, Waddington J, Berna F. From one to many: Hypertonia in schizophrenia spectrum psychosis an integrative review and adversarial collaboration report. Schizophr Res 2024; 263:66-81. [PMID: 37059654 DOI: 10.1016/j.schres.2023.03.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 04/16/2023]
Abstract
Different types of resistance to passive movement, i.e. hypertonia, were described in schizophrenia spectrum disorders (SSD) long before the introduction of antipsychotics. While these have been rediscovered in antipsychotic-naïve patients and their non-affected relatives, the existence of intrinsic hypertonia vs drug-induced parkinsonism (DIP) in treated SSD remains controversial. This integrative review seeks to develop a commonly accepted framework to specify the putative clinical phenomena, highlight conflicting issues and discuss ways to challenge each hypothesis and model through adversarial collaboration. The authors agreed on a common framework inspired from systems neuroscience. Specification of DIP, locomotor paratonia (LMP) and psychomotor paratonia (PMP) identified points of disagreement. Some viewed parkinsonian rigidity to be sufficient for diagnosing DIP, while others viewed DIP as a syndrome that should include bradykinesia. Sensitivity of DIP to anticholinergic drugs and the nature of LPM and PMP were the most debated issues. It was agreed that treated SSD should be investigated first. Clinical features of the phenomena at issue could be confirmed by torque, EMG and joint angle measures that could help in challenging the selectivity of DIP to anticholinergics. LMP was modeled as the release of the reticular formation from the control of the supplementary motor area (SMA), which could be challenged by the tonic vibration reflex or acoustic startle. PMP was modeled as the release of primary motor cortex from the control of the SMA and may be informed by subclinical echopraxia. If these challenges are not met, this would put new constraints on the models and have clinical and therapeutic implications.
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Affiliation(s)
- Jack R Foucher
- ICube - CNRS UMR 7357, Neurophysiology, FMTS, University of Strasbourg, France, EU; CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France, EU.
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany, EU
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Ludovic C Dormegny-Jeanjean
- ICube - CNRS UMR 7357, Neurophysiology, FMTS, University of Strasbourg, France, EU; CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France, EU
| | - Ilia Humbert
- CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France, EU
| | - Olivier Mainberger
- ICube - CNRS UMR 7357, Neurophysiology, FMTS, University of Strasbourg, France, EU; CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France, EU
| | - Clément C de Billy
- ICube - CNRS UMR 7357, Neurophysiology, FMTS, University of Strasbourg, France, EU; CEMNIS - Noninvasive Neuromodulation Center, University Hospital Strasbourg, France, EU
| | - Benoit Schorr
- Pôle de Psychiatrie, Santé Mentale et Addictologie, University Hospital Strasbourg, France, EU; Physiopathologie et Psychopathologie Cognitive de la Schizophrénie - INSERM 1114, FMTS, University of Strasbourg, France, EU
| | - Laurent Vercueil
- Unité de neurophysiologie clinique, CHU Grenoble Alpes, Université Grenoble Alpes, France, EU; INSERM U1216, Institut de neurosciences, Grenoble, France, EU
| | - Jonathan Rogers
- Division of Psychiatry, University College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Gabor Ungvari
- Section of Psychiatry, School of Medicine, University Notre Dame Australia, Fremantle, Australia
| | - John Waddington
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland, EU
| | - Fabrice Berna
- Pôle de Psychiatrie, Santé Mentale et Addictologie, University Hospital Strasbourg, France, EU; Physiopathologie et Psychopathologie Cognitive de la Schizophrénie - INSERM 1114, FMTS, University of Strasbourg, France, EU
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Zwierko T, Redondo B, Jedziniak W, Molina R, Jiménez R, Vera J. Gaze behaviour during multiple object tracking is dependent on binocular vision integrity. Ophthalmic Physiol Opt 2024; 44:23-31. [PMID: 37641939 DOI: 10.1111/opo.13225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Despite the critical importance of binocular vision integrity in daily activities, there exists limited understanding of how alterations in binocular vision integrity impact gaze behaviour during dynamic, complex psychomotor skills. This study aimed to measure how alterations in binocular vision integrity, created by Bangerter filters (BF), affect gaze behaviour during multiple object tracking (MOT). METHODS During the experiment, 22 volunteers completed the MOT task under three different visual conditions. The first condition involved natural binocular viewing, while the second and third conditions used 0.4 and 0.2 neutral density BF, respectively, resulting in monocular blur in the sensorially dominant eye. During the MOT task, participants were instructed to track three of eight balls for 10 s, and the speed was adjusted using a staircase procedure. Throughout the task, the following gaze parameters were recorded: fixation duration, saccade duration, amplitude and frequency as well as blink rate. RESULTS During MOT execution, participants employed three gaze strategies regardless of viewing conditions: saccadic movements were predominant, followed by maintaining fixation on a central location throughout the trial and to a lesser extent, smooth pursuit eye movements. There was a significant effect of manipulating viewing conditions on the MOT scores (p = 0.046, η2 = 0.09). As the viewing conditions became more difficult, we observed a decrease in fixation duration (p = 0.004, η2 = 0.16) and blink rate (p < 0.001, η2 = 0.20) and an increase in saccadic amplitude (p < 0.001, η2 = 0.29). CONCLUSIONS The results support the notion that perceptual-cognitive skills depend on the integrity of binocular vision, underscoring the sensitivity of gaze behaviours to any impairment of binocular function.
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Affiliation(s)
- Teresa Zwierko
- Institute of Physical Culture Sciences, Laboratory of Kinesiology, Functional and Structural Human Research Centre, University of Szczecin, Szczecin, Poland
- CLARO (Clinical and Laboratory Applications of Research in Optometry) Research Group, Department of Optics, University of Granada, Granada, Spain
| | - Beatríz Redondo
- CLARO (Clinical and Laboratory Applications of Research in Optometry) Research Group, Department of Optics, University of Granada, Granada, Spain
- New England College of Optometry, Boston, Massachusetts, USA
| | - Wojciech Jedziniak
- Institute of Physical Culture Sciences, Laboratory of Kinesiology, Functional and Structural Human Research Centre, University of Szczecin, Szczecin, Poland
| | - Ruben Molina
- CLARO (Clinical and Laboratory Applications of Research in Optometry) Research Group, Department of Optics, University of Granada, Granada, Spain
| | - Raimundo Jiménez
- CLARO (Clinical and Laboratory Applications of Research in Optometry) Research Group, Department of Optics, University of Granada, Granada, Spain
| | - Jesús Vera
- CLARO (Clinical and Laboratory Applications of Research in Optometry) Research Group, Department of Optics, University of Granada, Granada, Spain
- New England College of Optometry, Boston, Massachusetts, USA
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Zou L, Herold F, Ludyga S, Kamijo K, Müller NG, Pontifex MB, Heath M, Kuwamizu R, Soya H, Hillman CH, Ando S, Alderman BL, Cheval B, Kramer AF. Look into my eyes: What can eye-based measures tell us about the relationship between physical activity and cognitive performance? JOURNAL OF SPORT AND HEALTH SCIENCE 2023; 12:568-591. [PMID: 37148971 PMCID: PMC10466196 DOI: 10.1016/j.jshs.2023.04.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/07/2023] [Accepted: 03/16/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND There is a growing interest to understand the neurobiological mechanisms that drive the positive associations of physical activity and fitness with measures of cognitive performance. To better understand those mechanisms, several studies have employed eye-based measures (e.g., eye movement measures such as saccades, pupillary measures such as pupil dilation, and vascular measures such as retinal vessel diameter) deemed to be proxies for specific neurobiological mechanisms. However, there is currently no systematic review providing a comprehensive overview of these studies in the field of exercise-cognition science. Thus, this review aimed to address that gap in the literature. METHODS To identify eligible studies, we searched 5 electronic databases on October 23, 2022. Two researchers independently extracted data and assessed the risk of bias using a modified version of the Tool for the assEssment of Study qualiTy and reporting in EXercise (TESTEX scale, for interventional studies) and the critical appraisal tool from the Joanna Briggs Institute (for cross-sectional studies). RESULTS Our systematic review (n = 35 studies) offers the following main findings: (a) there is insufficient evidence available to draw solid conclusions concerning gaze-fixation-based measures; (b) the evidence that pupillometric measures, which are a proxy for the noradrenergic system, can explain the positive effect of acute exercise and cardiorespiratory fitness on cognitive performance is mixed; (c) physical training- or fitness-related changes of the cerebrovascular system (operationalized via changes in retinal vasculature) are, in general, positively associated with cognitive performance improvements; (d) acute and chronic physical exercises show a positive effect based on an oculomotor-based measure of executive function (operationalized via antisaccade tasks); and (e) the positive association between cardiorespiratory fitness and cognitive performance is partly mediated by the dopaminergic system (operationalized via spontaneous eye-blink rate). CONCLUSION This systematic review offers confirmation that eye-based measures can provide valuable insight into the neurobiological mechanisms that may drive positive associations between physical activity and fitness and measures of cognitive performance. However, due to the limited number of studies utilizing specific methods for obtaining eye-based measures (e.g., pupillometry, retinal vessel analysis, spontaneous eye blink rate) or investigating a possible dose-response relationship, further research is necessary before more nuanced conclusions can be drawn. Given that eye-based measures are economical and non-invasive, we hope this review will foster the future application of eye-based measures in the field of exercise-cognition science.
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Affiliation(s)
- Liye Zou
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen 518060, China; Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, Potsdam 14476, Germany.
| | - Fabian Herold
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen 518060, China; Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, Potsdam 14476, Germany
| | - Sebastian Ludyga
- Department of Sport, Exercise, and Health, University of Basel, Basel 4052, Switzerland
| | - Keita Kamijo
- Faculty of Liberal Arts and Sciences, Chukyo University, Nagoya 466-8666, Japan
| | - Notger G Müller
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen 518060, China; Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, Potsdam 14476, Germany
| | - Matthew B Pontifex
- Department of Kinesiology, Michigan State University, East Lansing, MI 48824, USA
| | - Matthew Heath
- School of Kinesiology, Faculty of Health Sciences, University of Western Ontario, London ON N6A 3K7, Canada; Canadian Centre for Activity and Aging, University of Western Ontario, London ON, N6A 3K7, Canada; Graduate Program in Neuroscience, University of Western Ontario, London ON, N6A 3K7, Canada
| | - Ryuta Kuwamizu
- Laboratory of Exercise Biochemistry and Neuroendocrinology, Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba 305-0006, Japan
| | - Hideaki Soya
- Laboratory of Exercise Biochemistry and Neuroendocrinology, Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba 305-0006, Japan; Sport Neuroscience Division, Advanced Research Initiative for Human High Performance (ARIHHP), Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba 305-0006, Japan
| | - Charles H Hillman
- Center for Cognitive and Brain Health, Department of Psychology, Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA
| | - Soichi Ando
- Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan
| | - Brandon L Alderman
- Department of Kinesiology and Health, Rutgers University-New Brunswick, New Brunswick, NJ 08854, USA
| | - Boris Cheval
- Swiss Center for Affective Sciences, University of Geneva, Geneva 1205, Switzerland; Laboratory for the Study of Emotion Elicitation and Expression (E3Lab), Department of Psychology, University of Geneva, Geneva 1205, Switzerland
| | - Arthur F Kramer
- Department of Psychology, Center for Cognitive and Brain Health, Northeastern University, Boston, MA 02115, USA; Beckman Institute, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA
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Callara AL, Greco A, Scilingo EP, Bonfiglio L. Neuronal correlates of eyeblinks are an expression of primary consciousness phenomena. Sci Rep 2023; 13:12617. [PMID: 37537328 PMCID: PMC10400571 DOI: 10.1038/s41598-023-39500-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 07/26/2023] [Indexed: 08/05/2023] Open
Abstract
The blinking rate far exceeds that required for moistening the cornea and changes depending on whether a person is resting or engaged in cognitive tasks. During ecological cognitive tasks (such as speaking, reading, and watching videos), blinks occur at breakpoints of attention suggesting a role in information segmentation, but the close relationship between cognition dynamics and blink timing still escapes a full understanding. The aim of the present study is to seek (1) if there is a temporal relationship between blink events and the consecutive steps of cognitive processing, and (2) if blink timing and the intensity of blink-related EEG responses are affected by task-relevance of stimuli. Our results show that, in a classical visual oddball task, (i) the occurrence of blinks is influenced by stimuli, irrespective of their relevance, (ii) blinks following relevant stimuli are only apparently delayed due to the need of finalizing a behavioural response, and (iii) stimulus relevance does not affect the intensity of the blink-related EEG response. This evidence reinforce the idea that blinks are not emitted until the last step of the processing sequence has been completed and suggests that blink-related EEG responses are generated by primary consciousness phenomena which are considered by their nature non-modulable (all-or-nothing) phenomena.
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Affiliation(s)
- Alejandro Luis Callara
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy
- Research Center "E. Piaggio", University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy
| | - Alberto Greco
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy
- Research Center "E. Piaggio", University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy
| | - Enzo Pasquale Scilingo
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy
- Research Center "E. Piaggio", University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy
| | - Luca Bonfiglio
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
- Unit of Developmental Neurorehabilitation, Maternal and Child Department, Pisa University Hospital, Pisa, Italy.
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Luckey AM, McLeod LS, Huang Y, Mohan A, Vanneste S. Making memories last using the peripheral effect of direct current stimulation. eLife 2023; 12:e75586. [PMID: 37204308 PMCID: PMC10241520 DOI: 10.7554/elife.75586] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 05/18/2023] [Indexed: 05/20/2023] Open
Abstract
Most memories that are formed are forgotten, while others are retained longer and are subject to memory stabilization. We show that non-invasive transcutaneous electrical stimulation of the greater occipital nerve (NITESGON) using direct current during learning elicited a long-term memory effect. However, it did not trigger an immediate effect on learning. A neurobiological model of long-term memory proposes a mechanism by which memories that are initially unstable can be strengthened through subsequent novel experiences. In a series of studies, we demonstrate NITESGON's capability to boost the retention of memories when applied shortly before, during, or shortly after the time of learning by enhancing memory consolidation via activation and communication in and between the locus coeruleus pathway and hippocampus by plausibly modulating dopaminergic input. These findings may have a significant impact for neurocognitive disorders that inhibit memory consolidation such as Alzheimer's disease.
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Affiliation(s)
- Alison M Luckey
- Global Brain Health Institute and Institute of Neuroscience, Trinity College DublinDublinIreland
| | - Lauren S McLeod
- School of Medicine, Texas Tech School of MedicineLubbockUnited States
| | - Yuefeng Huang
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Anusha Mohan
- Global Brain Health Institute and Institute of Neuroscience, Trinity College DublinDublinIreland
| | - Sven Vanneste
- Global Brain Health Institute and Institute of Neuroscience, Trinity College DublinDublinIreland
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Krishnappa Babu PR, Aikat V, Di Martino JM, Chang Z, Perochon S, Espinosa S, Aiello R, L H Carpenter K, Compton S, Davis N, Eichner B, Flowers J, Franz L, Dawson G, Sapiro G. Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach. Sci Rep 2023; 13:7158. [PMID: 37137954 PMCID: PMC10156751 DOI: 10.1038/s41598-023-34293-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 04/27/2023] [Indexed: 05/05/2023] Open
Abstract
Differences in social attention are well-documented in autistic individuals, representing one of the earliest signs of autism. Spontaneous blink rate has been used to index attentional engagement, with lower blink rates reflecting increased engagement. We evaluated novel methods using computer vision analysis (CVA) for automatically quantifying patterns of attentional engagement in young autistic children, based on facial orientation and blink rate, which were captured via mobile devices. Participants were 474 children (17-36 months old), 43 of whom were diagnosed with autism. Movies containing social or nonsocial content were presented via an iPad app, and simultaneously, the device's camera recorded the children's behavior while they watched the movies. CVA was used to extract the duration of time the child oriented towards the screen and their blink rate as indices of attentional engagement. Overall, autistic children spent less time facing the screen and had a higher mean blink rate compared to neurotypical children. Neurotypical children faced the screen more often and blinked at a lower rate during the social movies compared to the nonsocial movies. In contrast, autistic children faced the screen less often during social movies than during nonsocial movies and showed no differential blink rate to social versus nonsocial movies.
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Affiliation(s)
| | - Vikram Aikat
- Department of Computer Science, Duke University, Durham, NC, USA
| | - J Matias Di Martino
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
| | - Zhuoqing Chang
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
| | - Sam Perochon
- Ecole Normale Supérieure Paris-Saclay, Gif-Sur-Yvette, France
| | - Steven Espinosa
- Office of Information Technology, Duke University, Durham, NC, USA
| | - Rachel Aiello
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA
| | - Kimberly L H Carpenter
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA
| | - Scott Compton
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA
| | - Naomi Davis
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA
| | - Brian Eichner
- Department of Pediatrics, Duke University, Durham, NC, USA
| | - Jacqueline Flowers
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA
| | - Lauren Franz
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Geraldine Dawson
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
- Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA.
| | - Guillermo Sapiro
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
- Departments of Biomedical Engineering, Mathematics, and Computer Science, Duke University, Durham, NC, USA.
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11
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Huber SE, Martini M, Sachse P. Task-synchronized eye blink modulation neither requires visual stimulation nor active motor response and is modulated by task predictability. Int J Psychophysiol 2023; 187:1-10. [PMID: 36773888 DOI: 10.1016/j.ijpsycho.2023.01.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 01/31/2023] [Accepted: 01/31/2023] [Indexed: 02/12/2023]
Abstract
It has been repeatedly shown that temporal task features are reflected in eye blink dynamics during attention tasks. Eye blinks occur with increased likeliness particularly when demands on external attention allocation are low. Both predictive, top-down and reactive, bottom-up processes were shown to be involved in blink regulation. However, whether temporal stimulus prediction is a generally active component of the attention system or rather specific to the visual domain has not been fully elaborated yet. By monitoring eye blinking of 99 students during an auditory attention task and analyzing particularly the dynamics of eye blink onsets relative to stimuli timings, we show here that prediction does, in principle, not require visual stimulation, and is also not merely a consequence of the involvement of manual responses during the task. We further show that both the inclusion of manual response to stimuli and elevated task predictability enhance the prediction component reflected in eye blink dynamics, whereas for the latter we experimentally manipulate objective task predictability by adjusting the frequency dependence of the power spectral densities of the series of inter-stimulus time intervals. This allows us finally to explain why, for specific choices of experimental conditions, the generally active and present prediction component involved in attention can become difficult to detect in non-visual, auditory tasks. Conversely, this comes with the important implication that, if tasks aim for elaborating particularly temporal prediction, distributing stimuli over time such that inter-stimulus-intervals conform to a sample of Gaussian noise represents a specifically unfavorable choice.
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Affiliation(s)
- Stefan E Huber
- Department of Psychology, University of Innsbruck, Universitätsstraße 5-7, A-6020 Innsbruck, Austria; Institute of Psychology, University of Graz, Universitätsplatz 2, A-8010 Graz, Austria.
| | - Markus Martini
- Department of Psychology, University of Innsbruck, Universitätsstraße 5-7, A-6020 Innsbruck, Austria
| | - Pierre Sachse
- Department of Psychology, University of Innsbruck, Universitätsstraße 5-7, A-6020 Innsbruck, Austria
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