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Buzi G, Eustache F, Droit-Volet S, Desaunay P, Hinault T. Towards a neurodevelopmental cognitive perspective of temporal processing. Commun Biol 2024; 7:987. [PMID: 39143328 PMCID: PMC11324894 DOI: 10.1038/s42003-024-06641-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 07/26/2024] [Indexed: 08/16/2024] Open
Abstract
The ability to organize and memorize the unfolding of events over time is a fundamental feature of cognition, which develops concurrently with the maturation of the brain. Nonetheless, how temporal processing evolves across the lifetime as well as the links with the underlying neural substrates remains unclear. Here, we intend to retrace the main developmental stages of brain structure, function, and cognition linked to the emergence of timing abilities. This neurodevelopmental perspective aims to untangle the puzzling trajectory of temporal processing aspects across the lifetime, paving the way to novel neuropsychological assessments and cognitive rehabilitation strategies.
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Affiliation(s)
- Giulia Buzi
- Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), Caen, France
| | - Francis Eustache
- Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), Caen, France
| | - Sylvie Droit-Volet
- Université Clermont Auvergne, LAPSCO, CNRS, UMR 6024, Clermont-Ferrand, France
| | - Pierre Desaunay
- Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), Caen, France
- Service de Psychiatrie de l'enfant et de l'adolescent, CHU de Caen, Caen, France
| | - Thomas Hinault
- Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), Caen, France.
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Venticinque JS, McMillan SJ, Guyer AE. Expanding understanding of adolescent neural sensitivity to peers: Using social information processing theory to generate new lines of research. Dev Cogn Neurosci 2024; 67:101395. [PMID: 38823235 PMCID: PMC11176966 DOI: 10.1016/j.dcn.2024.101395] [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: 12/12/2023] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/03/2024] Open
Abstract
Adolescence is a period of normative heightened sensitivity to peer influence. Individual differences in susceptibility to peers is related to individual differences in neural sensitivity, particularly in brain regions that support an increasingly greater orientation toward peers. Despite these empirically-established patterns, the more specific psychosocial and socio-cognitive factors associated with individual differences in neural sensitivity to peer influence are just beginning to gain research attention. Specific features of the factors that contribute to how adolescents process social information can inform understanding of the psychological and neurobiological processes involved in what renders adolescents to be more or less susceptible to peer influences. In this paper, we (1) review the literature about peer, family, and broader contextual influences on sensitivity to peers' positive and negative behaviors, (2) outline components of social information processing theories, and (3) discuss features of these models from the perspectives and social cognitive development and social neuroscience. We identify gaps in the current literature that need to be addressed in order to gain a more comprehensive view of adolescent neural sensitivity to peer influence. We conclude by suggesting how future neuroimaging studies can adopt components of this social information processing model to generate new lines of research.
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Affiliation(s)
- Joseph S Venticinque
- Center for Mind and Brain, University of California, Davis 267 Cousteau Pl, Davis, CA 95618, USA; Department of Human Ecology, University of California, Davis 1 Shields Ave, Davis, CA 95616, USA.
| | - Sarah J McMillan
- Center for Mind and Brain, University of California, Davis 267 Cousteau Pl, Davis, CA 95618, USA; Department of Human Ecology, University of California, Davis 1 Shields Ave, Davis, CA 95616, USA.
| | - Amanda E Guyer
- Center for Mind and Brain, University of California, Davis 267 Cousteau Pl, Davis, CA 95618, USA; Department of Human Ecology, University of California, Davis 1 Shields Ave, Davis, CA 95616, USA.
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Kwon SJ, Prinstein MJ, Lindquist KA, Telzer EH. Friendship changes differentially predict neural correlates of decision-making for friends across adolescence. Dev Cogn Neurosci 2024; 65:101342. [PMID: 38219708 PMCID: PMC10825619 DOI: 10.1016/j.dcn.2024.101342] [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: 06/10/2023] [Revised: 01/08/2024] [Accepted: 01/08/2024] [Indexed: 01/16/2024] Open
Abstract
Adolescents' peer world is highly dynamic with constant dissolution of old friendships and formation of new ones. Though many of adolescents' risky decisions involve their peers, little is known about how adolescents' ever-changing friendships shape their ability to make these peer-involving risky decisions, particularly adaptive ones, and whether this association shifts over time. In a 5-wave longitudinal fMRI study, 173 adolescents (at wave 1: Mage = 12.8, SDage = 0.52; range = 11.9-14.5) made risky choices to win money for their best friend. We assessed whether participants nominated the same or different best friend as their previous participation year (a total of 340 data points of friendship maintenance / change). In early adolescence, adolescents with the same best friend took more adaptive risks for that best friend than those with a different best friend. In late adolescence, however, adolescents with a different best friend took more adaptive risks for the new best friend than those with the same best friend. Further, the amygdala was differentially sensitive to friendship maintenance / change during these peer-involving adaptive risks across time. This study has implications for how stable and flexible peer landscapes differentially modulate social motivation and social decision-making over the course of adolescence.
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Affiliation(s)
- Seh-Joo Kwon
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Chapel Hill, NC, USA
| | - Mitchell J Prinstein
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Chapel Hill, NC, USA
| | - Kristen A Lindquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Chapel Hill, NC, USA
| | - Eva H Telzer
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Avenue, Chapel Hill, NC, USA.
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Ciranka S, Hertwig R. Environmental statistics and experience shape risk-taking across adolescence. Trends Cogn Sci 2023; 27:1123-1134. [PMID: 37739921 DOI: 10.1016/j.tics.2023.08.020] [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: 04/30/2023] [Revised: 08/29/2023] [Accepted: 08/30/2023] [Indexed: 09/24/2023]
Abstract
Adolescents are often portrayed as reckless risk-takers because of their immature brains. Recent research has cast doubt on this portrayal, identifying the environment as a moderator of risk-taking. However, the key features of environments that drive risk-taking behaviors are often underspecified. We call for greater attention to the environment by drawing on research showing that its statistical structure impacts future risk-taking as people learn from outcomes they experience after taking a risk. This opinion shows that adolescents are unlikely to experience harm from many risks because environmental statistics are skewed and favor safe experiences. Environmental statistics and experience suggest entry points for policy interventions by carefully timing risk warnings and leveraging peers' potential to shape the statistics of rewarding experiences.
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Affiliation(s)
- Simon Ciranka
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany.
| | - Ralph Hertwig
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
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Haines N, Kvam PD, Turner BM. Explaining the description-experience gap in risky decision-making: learning and memory retention during experience as causal mechanisms. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2023:10.3758/s13415-023-01099-z. [PMID: 37291409 DOI: 10.3758/s13415-023-01099-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/28/2023] [Indexed: 06/10/2023]
Abstract
When making decisions based on probabilistic outcomes, people guide their behavior using knowledge gathered through both indirect descriptions and direct experience. Paradoxically, how people obtain information significantly impacts apparent preferences. A ubiquitous example is the description-experience gap: individuals seemingly overweight low probability events when probabilities are described yet underweight them when probabilities must be experienced firsthand. A leading explanation for this fundamental gap in decision-making is that probabilities are weighted differently when learned through description relative to experience, yet a formal theoretical account of the mechanism responsible for such weighting differences remains elusive. We demonstrate how various learning and memory retention models incorporating neuroscientifically motivated learning mechanisms can explain why probability weighting and valuation parameters often are found to vary across description and experience. In a simulation study, we show how learning through experience can lead to systematically biased estimates of probability weighting when using a traditional cumulative prospect theory model. We then use hierarchical Bayesian modeling and Bayesian model comparison to show how various learning and memory retention models capture participants' behavior over and above changes in outcome valuation and probability weighting, accounting for description and experience-based decisions in a within-subject experiment. We conclude with a discussion of how substantive models of psychological processes can lead to insights that heuristic statistical models fail to capture.
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Affiliation(s)
- Nathaniel Haines
- The Ohio State University, Columbus, OH, USA.
- Bayesian Beginnings LLC, Columbus, USA.
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Developmental differences in description-based versus experience-based decision making under risk in children. J Exp Child Psychol 2022; 219:105401. [PMID: 35245779 DOI: 10.1016/j.jecp.2022.105401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 12/15/2021] [Accepted: 02/05/2022] [Indexed: 11/21/2022]
Abstract
The willingness to take a risk is shaped by temperaments and cognitive abilities, both of which develop rapidly during childhood. In the adult developmental literature, a distinction is drawn between description-based tasks, which provide explicit choice-reward information, and experience-based tasks, which require decisions from past experience, each emphasizing different cognitive demands. Although developmental trends have been investigated for both types of decisions, few studies have compared description-based and experience-based decision making in the same sample of children. In the current study, children (N = 112; 5-9 years of age) completed both description-based and experience-based decision tasks tailored for use with young children. Child temperament was reported by the children's primary teacher. Behavioral measures suggested that the willingness to take a risk in a description-based task increased with age, whereas it decreased in an experience-based task. However, computational modeling alongside further inspection of the behavioral data suggested that these opposite developmental trends across the two types of tasks both were associated with related capacities: older (vs. younger) children's higher sensitivity to experienced losses and higher outcome sensitivity to described rewards and losses. From the temperamental characteristics, higher attentional focusing was linked with a higher learning rate on the experience-based task and a bias to accept gambles in the gain domain on the description-based task. Our findings demonstrate the importance of comparing children's behavior across qualitatively different tasks rather than studying a single behavior in isolation.
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Rosenbaum GM, Grassie HL, Hartley CA. Valence biases in reinforcement learning shift across adolescence and modulate subsequent memory. eLife 2022; 11:e64620. [PMID: 35072624 PMCID: PMC8786311 DOI: 10.7554/elife.64620] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 12/24/2021] [Indexed: 12/12/2022] Open
Abstract
As individuals learn through trial and error, some are more influenced by good outcomes, while others weight bad outcomes more heavily. Such valence biases may also influence memory for past experiences. Here, we examined whether valence asymmetries in reinforcement learning change across adolescence, and whether individual learning asymmetries bias the content of subsequent memory. Participants ages 8-27 learned the values of 'point machines,' after which their memory for trial-unique images presented with choice outcomes was assessed. Relative to children and adults, adolescents overweighted worse-than-expected outcomes during learning. Individuals' valence biases modulated incidental memory, such that those who prioritized worse- (or better-) than-expected outcomes during learning were also more likely to remember images paired with these outcomes, an effect reproduced in an independent dataset. Collectively, these results highlight age-related changes in the computation of subjective value and demonstrate that a valence-asymmetric valuation process influences how information is prioritized in episodic memory.
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Affiliation(s)
- Gail M Rosenbaum
- Department of Psychology, New York UniversityNew YorkUnited States
| | - Hannah L Grassie
- Department of Psychology, New York UniversityNew YorkUnited States
| | - Catherine A Hartley
- Department of Psychology, New York UniversityNew YorkUnited States
- Center for Neural Science, New York UniversityNew YorkUnited States
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