Evidence map›Paper›PMID 37148971›Full record

SynthesisJournal of sport and health science2023

Look into my eyes: What can eye-based measures tell us about the relationship between physical activity and cognitive performance?

Liye Zou, Fabian Herold, Sebastian Ludyga, Keita Kamijo, Notger G Müller, Matthew B Pontifex, Matthew Heath, Ryuta Kuwamizu, Hideaki Soya, Charles H Hillman and 4 more

Erratum issuedOpen access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Journal of sport and health science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
10.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
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  7. Review
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  9. Cerebral Amyloid Deposition WithHuman brain mapping · 2025
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  13. Review
  14. Article
  15. Sedentary behavior and lifespan brain health.Trends in cognitive sciences · 2024
    Review
  16. Article
  17. Article
  18. Imaging body-mind crosstalk in young adults.International journal of clinical and health psychology : IJCHP
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 10 institutions in 6 countries.

Liye ZouBody-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. Electronic address: liyezou123@gmail.com.
Fabian HeroldBody-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 LudygaDepartment of Sport, Exercise, and Health, University of Basel, Basel 4052, Switzerland.
Keita KamijoFaculty of Liberal Arts and Sciences, Chukyo University, Nagoya 466-8666, Japan.
Notger G MüllerBody-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 PontifexDepartment of Kinesiology, Michigan State University, East Lansing, MI 48824, USA.
Matthew HeathSchool 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 KuwamizuLaboratory of Exercise Biochemistry and Neuroendocrinology, Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba 305-0006, Japan.
Hideaki SoyaLaboratory 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 HillmanCenter for Cognitive and Brain Health, Department of Psychology, Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA.
Soichi AndoGraduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan.
Brandon L AldermanDepartment of Kinesiology and Health, Rutgers University-New Brunswick, New Brunswick, NJ 08854, USA.
Boris ChevalSwiss 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 KramerDepartment 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.
University of Potsdam · DENortheastern University · USUniversity of Tsukuba · JPChukyo University · JPMichigan State University · USRutgers, The State University of New Jersey · USUniversity of Basel · CHUniversity of Electro-Communications · JPUniversity of Geneva · CHWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere 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.

methodsTo 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).

resultsOur 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).

conclusionThis 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.

Indexed as

Cardiorespiratory FitnessExerciseCognitionCross-Sectional StudiesPhysical ExaminationCognitionExerciseFitnessPupil sizeRetina

Identifiers

PMID37148971
PMCPMC10466196
OpenAlexW4368340834

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.