The role of depressive symptoms in the interplay between aging and temporal processing.

[en] Temporal processing, the ability to mentally represent and process the dynamical unfolding of events over time, is a fundamental feature of cognition that evolves with advancing age. Aging has indeed been associated with slower and more variable performance in timing tasks. However, the role of depressive symptoms in age-related changes in temporal processing remains to be investigated. Therefore, the present work aims to shed light on the link between temporal processing and depressive symptoms, which are frequent with advancing age. We relied on the multicentric "Blursday Project" database, providing measures of temporal processing together with questionnaires investigating psychological wellbeing. Results reveal that aging influences several timing abilities, from the reproduction of short time intervals to verbal estimations of longer temporal distances. Furthermore, the slowing down of felt passage of time regarding the last few days with age was fully mediated by the intensity of depressive symptoms. Overall, these findings suggest that depressive symptoms may play a pivotal role in age-related temporal processing changes.

Disciplines :

Theoretical & cognitive psychology

Author, co-author :

Buzi, Giulia; Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), 2, Rue des Rochambelles, 14000, Caen, France

Eustache, Francis; Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), 2, Rue des Rochambelles, 14000, Caen, France

D'Argembeau, Arnaud ; Université de Liège - ULiège > Département de Psychologie

Hinault, Thomas; Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), 2, Rue des Rochambelles, 14000, Caen, France. thomas.hinault@inserm.fr

Language :

English

Title :

The role of depressive symptoms in the interplay between aging and temporal processing.

Publication date :

14 July 2023

Journal title :

Scientific Reports

eISSN :

2045-2322

Publisher :

Nature Research, England

Volume :

Issue :

Pages :

11375

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://www.nature.com/articles/s41598-023-38500-3.pdf

Funding text :

Authors thank Maximilien Chaumon, Virginie Van Wassenhove, and all collaborators of the Blursday project.

Available on ORBi :

since 29 November 2024

Statistics

Number of views

12 (0 by ULiège)

Number of downloads

2 (0 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

Anderson, N. D. & Craik, F. I. M. 50 years of cognitive aging theory. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 72, 1–6 (2017).
Craik, F. I. M., Salthouse, T. A., Braver, T. S. & West, R. The Handbook of Aging and Cognition 3rd edn, 311–323 (Psychology Press, 2008).
Reuter-Lorenz, P. A. & Park, D. C. How does it STAC up? Revisiting the Scaffolding theory of aging and cognition. Neuropsychol. Rev. 24, 355–370. 10.1007/s11065-014-9270-9 (2014). DOI: 10.1007/s11065-014-9270-9
Touron, E. et al. Depressive symptoms in cognitively unimpaired older adults are associated with lower structural and functional integrity in a frontolimbic network. Mol. Psych. 27, 5086–5095 (2022). DOI: 10.1038/s41380-022-01772-8
Wilson, R. S. et al. Depressive symptoms, cognitive decline, and risk of AD in older persons. Neurology 59(3), 364–370. 10.1212/wnl.59.3.364 (2002). DOI: 10.1212/wnl.59.3.364
Xu, R. & Church, R. M. Age-related changes in human and nonhuman timing. Timing Time Percept 5, 261–279. 10.1163/22134468-00002092 (2017). DOI: 10.1163/22134468-00002092
Droit-Volet, S. Time perception, emotions and mood disorders. J. Physiol. Paris 107(255–264), 2013. 10.1016/j.jphysparis.2013.03.005 (2013). DOI: 10.1016/j.jphysparis.2013.03.005
Polti, I., Martin, B. & van Wassenhove, V. The effect of attention and working memory on the estimation of elapsed time. Sci. Rep. 8, 6690. 10.1038/s41598-018-25119-y9 (2018). DOI: 10.1038/s41598-018-25119-y9
Droit-Volet, S. & Meck, W. H. How emotions color our perception of time. Trends Cognit. Sci. 11, 504–513 (2007). DOI: 10.1016/j.tics.2007.09.008
Gil, S. & Droit-Volet, S. Emotional time distortions: The fundamental role of arousal. Cognit. Emot. 26, 847–862 (2012). DOI: 10.1080/02699931.2011.625401
Droit-Volet, S., Fayolle, S. L. & Gil, S. Emotion and time perception: Effects of film-induced mood. Front Integr. Neurosci. 5, 33 (2011). DOI: 10.3389/fnint.2011.00033
Thönes, S. & Stocker, K. A standard conceptual framework for the study of subjective time. Conscious Cognit. 71, 114–122. 10.1016/j.concog.2019.04.004 (2019). DOI: 10.1016/j.concog.2019.04.004
Hinault, T. et al. Time processing impairments in neurological and psychiatric disorders. https://doi.org/10.31234/osf.io/kdc7e nd.
Suddendorf, T. & Corballis, M. C. The evolution of foresight: What is mental time travel, and is it unique to humans?. BBS 30, 299–313 (2007).
Wearden, J. H. Passage of time judgements. Conscious Cogn 38, 165–171 (2015). DOI: 10.1016/j.concog.2015.06.005
D’Argembeau, A. Zooming in and out on one’s life: Autobiographical representations at multiple time scales. J. Cognit. Neurosci. 32, 2037–2055 (2020). DOI: 10.1162/jocn_a_01556
Turgeon, M., Lustig, C. & Meck, W. H. Cognitive aging and time perception: Roles of Bayesian optimization and degeneracy. Front Aging Neurosci. 8, 1. 10.3389/fnagi.2016.00102 (2016). DOI: 10.3389/fnagi.2016.00102
Nani, A. et al. The neural correlates of time: A meta-analysis of neuroimaging studies. J. Cognit. Neurosci. 31, 1796–1826 (2019). DOI: 10.1162/jocn_a_01459
Matthews, W. J. & Meck, W. H. Temporal cognition: Connecting subjective time to perception, attention, and memory. Psychol. Bull. 142, 865–907 (2016). DOI: 10.1037/bul0000045
Naghibi, N. et al. Embodying time in the brain: A multi-dimensional neuroimaging meta-analysis of 95 duration processing studies. Neuropsychol. Rev. 10.1007/s11065-023-09588-1 (2023). DOI: 10.1007/s11065-023-09588-1
Kononowicz, T. W., Sander, T., Van Rijn, H. & van Wassenhove, V. Precision timing with α–β oscillatory coupling: Stopwatch or motor control?. J. Cognit. Neurosci. 32, 1624–1636 (2020). DOI: 10.1162/jocn_a_01570
Martinelli, N. & Droit-Volet, S. What factors underlie our experience of the passage of time? Theoretical consequences. Psychol. Res. 86, 522–530 (2022). DOI: 10.1007/s00426-021-01486-6
Nyberg, L., Kim, A. S. N., Habib, R., Levine, B. & Tulving, E. Consciousness of subjective time in the brain. Proc. Natl. Acad. Sci. U. S. A. 107, 22356–22359 (2010). DOI: 10.1073/pnas.1016823108
Schacter, D. L., Benoit, R. G. & Szpunar, K. K. Episodic future thinking: mechanisms and functions. Curr. Opin. Behav. Sci. 17, 41–50. 10.1016/j.cobeha.2017.06.002 (2017). DOI: 10.1016/j.cobeha.2017.06.002
van Wassenhove, V., Herbst, S. K. & Kononowicz, T. W. Timing the brain to time themind: Critical contributions of time-resolved neuroimaging for temporal cognition. In Magnetoencephalography: From Signals to Dynamic Cortical Networks: Second Edition 855–905 (Springer International Publishing, 2019). https://doi.org/10.1007/978-3-030-00087-5_67.
Wittmann, M. The inner sense of time: How the brain creates a representation of duration. Nat. Rev. Neurosci. 14, 217–223. 10.1038/nrn3452 (2013). DOI: 10.1038/nrn3452
Winkler, I. et al. Has it really been that long? Why time seems to speed up with age. Timing Time Percept. 5, 168–189 (2017). DOI: 10.1163/22134468-00002088
McCormack, T., Brown, G. D. A., Maylor, E. A., Richardson, L. B. N. & Darby, R. J. Effects of aging on absolute identification of duration. Psychol. Aging 17, 363–378 (2002). DOI: 10.1037/0882-7974.17.3.363
Wearden, J. H. The wrong tree: Time perception and time experience in the elderly. in Measuring the Mind Speed, control, and age (Oxford University Press, 2012). https://doi.org/10.1093/acprof:oso/9780198566427.003.0006.
Lamotte, M. & Droit-Volet, S. Aging and time perception for short and long durations: A question of attention?. Timing Time Percept. 5, 149–167 (2017). DOI: 10.1163/22134468-00002086
Baudouin, A., Vanneste, S., Pouthas, V. & Isingrini, M. Age-related changes in duration reproduction: Involvement of working memory processes. Brain Cognit. 62, 17–23 (2006). DOI: 10.1016/j.bandc.2006.03.003
Vanneste, S., Pouthas, V. & Wearden, J. H. Temporal control of rhythmic performance: A comparison between young and old adults. Exp. Aging Res. 27, 83–102 (2001). DOI: 10.1080/036107301750046151
Wearden, J. H. Passage of time judgements. Conscious Cognit. 38, 165–171 (2015). DOI: 10.1016/j.concog.2015.06.005
Wittmann, M. & Lehnhoff, S. Age effects in perception of time. Psychol. Rep. 97, 921–935 (2005). DOI: 10.2466/pr0.97.3.921-935
Friedman, W. J. & Janssen, S. M. J. Aging and the speed of time. Acta Psychol. (Amst.) 134, 130–141 (2010). DOI: 10.1016/j.actpsy.2010.01.004
Droit-Volet, S. Time does not fly but slow down in old age. Time Soc. 28, 60–82 (2019). DOI: 10.1177/0961463X16656852
Gil, S. & Droit-Volet, S. Time perception, depression and sadness. Behav. Proc. 80, 169–176 (2009). DOI: 10.1016/j.beproc.2008.11.012
Droit-Volet, S. & Wearden, J. H. Experience Sampling Methodology reveals similarities in the experience of passage of time in young and elderly adults. Acta Psychol. (Amst.) 156, 77–82 (2015). DOI: 10.1016/j.actpsy.2015.01.006
Zakay, D. & Block, R. A. The role of attention in time estimation processes. Adv. Cognit. Psychol. 115, 143–164 (1996).
Mioni, G., Cardullo, S., Ciavarelli, A. & Stablum, F. Age-related changes in time discrimination: The involvement of inhibition, working memory and speed of processing. Curr. Psychol. 40, 2462–2471 (2021). DOI: 10.1007/s12144-019-00170-8
Weisenbach, S. L., Boore, L. A. & Kales, H. C. Depression and cognitive impairment in older adults. Curr. Psych. Rep. 14, 280–288 (2012). DOI: 10.1007/s11920-012-0278-7
Lam, R. W., Kennedy, S. H., Roger, M. S. & Atul, K. Cognitive dysfunction in major depressive disorder: Effects on psychosocial functioning and implications for treatment. Can. J. Psych. 59, 649–654 (2014). DOI: 10.1177/070674371405901206
Kent, L., Van Doorn, G. & Klein, B. Time dilation and acceleration in depression. Acta Psychol. 194, 77–86. 10.1016/j.actpsy.2019.02.003 (2019). DOI: 10.1016/j.actpsy.2019.02.003
Thönes, S. & Oberfeld, D. Time perception in depression: A meta-analysis. J. Affect. Disord. 175, 359–372. 10.1016/j.jad.2014.12.057 (2015). DOI: 10.1016/j.jad.2014.12.057
Mioni, G., Stablum, F., Prunetti, E. & Grondin, S. Time perception in anxious and depressed patients: A comparison between time reproduction and time production tasks. J. Affect. Disord. 196, 154–163 (2016). DOI: 10.1016/j.jad.2016.02.047
Chaumon, M. et al. The Blursday database as a resource to study subjective temporalities during COVID-19. Nat. Hum. Behav. 10.1038/s41562-022-01419-2 (2022). DOI: 10.1038/s41562-022-01419-2
Droit-Volet, S. et al. The persistence of slowed time experience during the COVID-19 pandemic: Two longitudinal studies in France. Front Psychol 12, 721716 (2021). DOI: 10.3389/fpsyg.2021.721716
Grondin, S., Mendoza-Duran, E. & Rioux, P. A. Pandemic, quarantine, and psychological time. Front Psychol. 11, 2749 (2020). DOI: 10.3389/fpsyg.2020.581036
Capizzi, M., Visalli, A., Faralli, A. & Mioni, G. Explicit and implicit timing in older adults: Dissociable associations with age and cognitive decline. PLoS ONE 10.31234/osf.io/wrfhc (2021). DOI: 10.31234/osf.io/wrfhc
Crawford, J. R., Henry, J. D., Crombie, C. & Taylor, E. P. Normative data for the HADS from a large non-clinical sample. B J. Clin. Psychol. 40, 429–434 (2001). DOI: 10.1348/014466501163904
Hale, T. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat. Hum. Behav. 5, 529–538 (2021). DOI: 10.1038/s41562-021-01079-8
Nobre, A. C. & van Ede, F. Anticipated moments: Temporal structure in attention. Nat. Rev. Neurosci. 1, 9. 10.1038/nrn.2017.141 (2018). DOI: 10.1038/nrn.2017.141
Repp, B. H. & Su, Y. H. Sensorimotor synchronization: A review of recent research (2006–2012). Psychon. Bull. Rev. 20, 403–452 (2013). DOI: 10.3758/s13423-012-0371-2
Wing, A. M. & Kristofferson, A. B. Response delays and the timing of discrete motor responses. Percept. Psychophys. 14, 5–12 (1973). DOI: 10.3758/BF03198607
Chen, Y., Ding, M. & Scott Kelso, J. A. Origins of timing errors in human sensorimotor coordination. J. Mot. Behav. 33, 3–8 (2001). DOI: 10.1080/00222890109601897
Mair, P. & Wilcox, R. Robust statistical methods in R using the WRS2 package. Behav. Res. Methods 52, 464–488 (2020). DOI: 10.3758/s13428-019-01246-w
Bradley, E. & Robert, T. An Introduction to the Bootstrap (Chapman & Hall, 1994).
Field, A. P. & Wilcox, R. R. Robust statistical methods: A primer for clinical psychology and experimental psychopathology researchers. Behav. Res. Ther. 98, 19–38 (2017). DOI: 10.1016/j.brat.2017.05.013
Bonferroni, C. E. Teoria Statistica Delle Classi e Calcolo Delle Probabilità/Carlo E. Bonferroni (Seeber, 1936).
Hu, T. et al. Prevalence of depression in older adults: A systematic review and meta-analysis. Psych. Res. 10.1016/j.psychres.2022.114511 (2022). DOI: 10.1016/j.psychres.2022.114511
Schwartze, M., Keller, P. E., Patel, A. D. & Kotz, S. A. The impact of basal ganglia lesions on sensorimotor synchronization, spontaneous motor tempo, and the detection of tempo changes. Behav. Brain Res. 216, 685–691 (2011). DOI: 10.1016/j.bbr.2010.09.015
Bispham, J. Rhythm in music: What is it? Who has it? And why?. Music Percept. 24, 125–134 (2006). DOI: 10.1525/mp.2006.24.2.125
von Schnehen, A., Hobeika, L., Huvent-Grelle, D. & Samson, S. Sensorimotor synchronization in healthy aging and neurocognitive disorders. Front Psychol. 1, 3. 10.3389/fpsyg.2022.838511 (2022). DOI: 10.3389/fpsyg.2022.838511
Bangert, A. S. & Balota, D. A. Keep up the pace: Declines in simple repetitive timing differentiate healthy aging from the earliest stages of Alzheimer’s disease. J. Int. Neuropsychol. Soc. 18, 1052–1063 (2012). DOI: 10.1017/S1355617712000860
Treisman, M. Temporal discrimination and the indifference interval. Implications for a model of the ‘internal clock’. Psychol. Monogr. 77, 1–31 (1963). DOI: 10.1037/h0093864
Gibbon, J., Malapanits, C., Dale, C. L. & Gallistep, C. R. Toward a neurobiology of temporal cognition: Advances and challenges. Curr. Opin. Neurobiol. 7, 170–184 (1997). DOI: 10.1016/S0959-4388(97)80005-0
Gibbon, J., Church, R. M. & Meck, W. M. Scalar timing in memory. Ann. N. Y. Acad. Sci. 423, 52–77 (1984). DOI: 10.1111/j.1749-6632.1984.tb23417.x
Allman, M. J., Teki, S., Griffiths, T. D. & Meck, W. H. Properties of the internal clock: First- and second-order principles of subjective time. Ann. Rev. Psychol. 65, 743–771. 10.1146/annurev-psych-010213-115117 (2014). DOI: 10.1146/annurev-psych-010213-115117
Kononowicz, T. W. & van Wassenhove, V. In search of oscillatory traces of the internal clock. Front Psychol. 7, 224 (2016). DOI: 10.3389/fpsyg.2016.00224
Hass, J. & Durstewitz, D. Time at the center, or time at the side? Assessing current models of time perception. Curr. Opin. Behav. Neurosci. 8, 238–244. 10.1016/j.cobeha.2016.02.030 (2016). DOI: 10.1016/j.cobeha.2016.02.030
Matell, M. S. & Meck, W. H. Cortico-striatal circuits and interval timing: Coincidence detection of oscillatory processes. Cognit. Brain Res. 21, 139–1700. 10.1016/j.cogbrainres.2004.06.012 (2004). DOI: 10.1016/j.cogbrainres.2004.06.012
Buhusi, C. V. & Meck, W. H. What makes us tick? Functional and neural mechanisms of interval timing. Nat. Rev. Neurosci. 6, 755–765. 10.1038/nrn1764 (2005). DOI: 10.1038/nrn1764
Agostino, P. V. & Cheng, R. K. Contributions of dopaminergic signaling to timing accuracy and precision. Curr. Opin. Behav. Neurosci. 8, 153–160. 10.1016/j.cobeha.2016.02.013 (2016). DOI: 10.1016/j.cobeha.2016.02.013
Salet, J. M., Kruijne, W., van Rijn, H., Los, S. A. & Meeter, M. f MTP: A unifying computational framework of temporal preparation across time scales. Psychol. Rev. 129, 911–948 (2022). DOI: 10.1037/rev0000356
Schacter, D. L. & Addis, D. R. The cognitive neuroscience of constructive memory: Remembering the past and imagining the future. Philos. Trans. R. Soc. B Biol. Sci. 362, 773–786 (2007). DOI: 10.1098/rstb.2007.2087
D’Argembeau, A., Ortoleva, C., Jumentier, S. & Van Der Linden, M. Component processes underlying future thinking. Mem. Cognit. 38, 809–819 (2010). DOI: 10.3758/MC.38.6.809
Schacter, D. L., Devitt, A. L. & Addis, D. R. Episodic future thinking and cognitive aging. In Oxford Research Encyclopedia of Psychology (Oxford University Press, 2018). https://doi.org/10.1093/acrefore/9780190236557.013.380.
Zakay, D. Psychological time as information: The case of boredom. Front Psychol. 5, 917 (2014). DOI: 10.3389/fpsyg.2014.00917
Benau, E. M., DeLoretta, L. C. & Moelter, S. T. The time is “right:” Electrophysiology reveals right parietal electrode dominance in time perception. Brain Cognit. 123, 92–102 (2018). DOI: 10.1016/j.bandc.2018.03.008
Ratcliffe, M. Varieties of temporal experience in depression. J. Med. Philos. (U. K.) 37, 114–138 (2012). DOI: 10.1093/jmp/jhs010
Bech, P. Depression: Influence on time estimation and time experience. Acta Psychiatr. Scand. 51, 42–50 (1975). DOI: 10.1111/j.1600-0447.1975.tb00211.x
Belujon, P. & Grace, A. A. Dopamine system dysregulation in major depressive disorders. Int. J. Neuropsychofarmacol. 20, 1036–1046. 10.1093/ijnp/pyx056 (2017). DOI: 10.1093/ijnp/pyx056
Perini, G. et al. Cognitive impairment in depression: Recent advances and novel treatments. Neuropsychiatr. Dis. Treat. 15, 1249–1258 (2019). DOI: 10.2147/NDT.S199746
Kent, L., Van Doorn, G. H., Hohwy, J. Klein, B. Time perception and depression symptoms: A perceived delay cues feelings of hopelessness. https://doi.org/10.31234/osf.io/b5dkv90. (2020).
Wild-Wall, N., Willemssen, R., Falkenstein, M. & Beste, C. Time estimation in healthy ageing and neurodegenerative basal ganglia disorders. Neurosci. Lett. 442, 34–38 (2008). DOI: 10.1016/j.neulet.2008.06.069
Furman, D. J., Hamilton, J. P. & Gotlib, I. H. Frontostriatal functional connectivity in major depressive disorder. Biol. Mood Anxiety Disord. 1, 11 (2011). DOI: 10.1186/2045-5380-1-11
Kapitány-Fövény, M., Bokk, O., Kiss, A. & Sulyok, M. Time perception at resting state and during active motion: The role of anxiety and depression. J. Psychiatr. Res. 155, 186–193 (2022). DOI: 10.1016/j.jpsychires.2022.08.023