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Wang Q, Stone KL, Lu Z, Tian S, Zheng Y, Zhao B, Bao Y, Shi L, Lu L. Associations between longitudinal changes in sleep stages and risk of cognitive decline in older men. Sleep 2024; 47:zsae125. [PMID: 38829819 DOI: 10.1093/sleep/zsae125] [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: 10/31/2023] [Revised: 05/03/2024] [Indexed: 06/05/2024] Open
Abstract
STUDY OBJECTIVES To investigate the relationships between longitudinal changes in sleep stages and the risk of cognitive decline in older men. METHODS This study included 978 community-dwelling older men who participated in the first (2003-2005) and second (2009-2012) sleep ancillary study visits of the Osteoporotic Fractures in Men Study. We examined the longitudinal changes in sleep stages at the initial and follow-up visits, and the association with concurrent clinically relevant cognitive decline during the 6.5-year follow-up. RESULTS Men with low to moderate (quartile 2, Q2) and moderate increase (Q3) in N1 sleep percentage had a reduced risk of cognitive decline on the modified mini-mental state examination compared to those with a substantial increase (Q4) in N1 sleep percentage. Additionally, men who experienced a low to moderate (Q2) increase in N1 sleep percentage had a lower risk of cognitive decline on the Trails B compared with men in the reference group (Q4). Furthermore, men with the most pronounced reduction (Q1) in N2 sleep percentage had a significantly higher risk of cognitive decline on the Trails B compared to those in the reference group (Q4). No significant association was found between changes in N3 and rapid eye movement sleep and the risk of cognitive decline. CONCLUSIONS Our results suggested that a relatively lower increase in N1 sleep showed a reduced risk of cognitive decline. However, a pronounced decrease in N2 sleep was associated with concurrent cognitive decline. These findings may help identify older men at risk of clinically relevant cognitive decline.
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Affiliation(s)
- Qianwen Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Katie L Stone
- Department of Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - Zhengan Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Shanshan Tian
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yongbo Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Bingxin Zhao
- Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA,USA
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
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Yu L, Russ AN, Algamal M, Abedin MJ, Zhao Q, Miller MR, Perle SJ, Kastanenka KV. Slow wave activity disruptions and memory impairments in a mouse model of aging. Neurobiol Aging 2024; 140:12-21. [PMID: 38701647 PMCID: PMC11188680 DOI: 10.1016/j.neurobiolaging.2024.04.006] [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: 12/12/2023] [Revised: 03/29/2024] [Accepted: 04/17/2024] [Indexed: 05/05/2024]
Abstract
The aging population suffers from memory impairments. Slow-wave activity (SWA) is composed of slow (0.5-1 Hz) and delta (1-4 Hz) oscillations, which play important roles in long-term memory and working memory function respectively. SWA disruptions might lead to memory disturbances often experienced by older adults. We conducted behavioral tests in young and older C57BL/6 J mice. SWA was monitored using wide-field imaging with voltage sensors. Cell-specific calcium imaging was used to monitor the activity of excitatory and inhibitory neurons in these mice. Older mice exhibited impairments in working memory but not memory consolidation. Voltage-sensor imaging revealed aberrant synchronization of neuronal activity in older mice. Notably, we found older mice exhibited no significant alterations in slow oscillations, whereas there was a significant increase in delta power compared to young mice. Calcium imaging revealed hypoactivity in inhibitory neurons of older mice. Combined, these results suggest that neural activity disruptions might correlate with aberrant memory performance in older mice.
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Affiliation(s)
- Lu Yu
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Alyssa N Russ
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Moustafa Algamal
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Md Joynal Abedin
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Qiuchen Zhao
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Morgan R Miller
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Stephen J Perle
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Ksenia V Kastanenka
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
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Goel P, Goel A. Exploring the Evolution of Sleep Patterns From Infancy to Adolescence. Cureus 2024; 16:e64759. [PMID: 39156264 PMCID: PMC11329291 DOI: 10.7759/cureus.64759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/17/2024] [Indexed: 08/20/2024] Open
Abstract
Sleep is a critical component of healthy development, particularly during the formative years from infancy through adolescence. Sleep undergoes continuous change throughout life characterized by frequent awakenings and a high proportion of rapid eye movement (REM) sleep during infancy, changes in sleep architecture, an increase in non-rapid eye movement (NREM) sleep during adolescence, and an eventual decrease in REM sleep in old age. Adequate sleep is therefore essential for cognitive development, especially between ages 10 and 16. Sleep deprivation may negatively affect academic performance, attention regulation, and emotional well-being. Biological factors, such as hormonal changes during puberty, significantly influence sleep patterns, leading to later bedtimes and a tendency for chronic sleep deprivation in adolescents. Environmental factors, including light exposure and screen time, also play a critical role in regulating sleep. This paper examines the evolution of sleep patterns across infancy and adolescence, describing changes in sleep architecture, timing, and regulation. The influence of biological, environmental, and socio-cultural factors on sleep is explored, highlighting how these factors collectively shape sleep behaviors and health outcomes. It also addresses the profound role sleep plays in cognitive development, brain maturation, and emotional well-being. The importance of understanding sleep patterns and their developmental trajectories to address sleep-related issues is emphasized. Promoting healthy sleep from an early age can enhance cognitive and emotional outcomes, contributing to better academic performance and overall well-being in children and adolescents. The findings advocate for further standardized sleep intervention programs globally to prioritize sleep health and support optimal development.
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Pengsuwankasem N, Sittiprapaporn P, Rattanabun W, Sangmanee N, Wongsuphasawat K, Rintra J, Nararatwanchai T, Sarikaphuti A, Pandii W. The effect of short daytime napping on cognitive function, sleep quality, and quality of life in mild cognitive impairment patients. Neurosci Lett 2023; 817:137499. [PMID: 37838328 DOI: 10.1016/j.neulet.2023.137499] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/16/2023]
Abstract
Mild cognitive impairment (MCI) is a neurological disorder that can increase the risk of Alzheimer's disease (AD) by three to five times more than those with normal cognition. To better understand the effects of daytime napping on MCI patients, a study was conducted to measure the effects of short naps on cognitive function, sleep quality, and quality of life. In total, 38 participants were asked to take 20-minute naps between 1:00p.m. and 3:00p.m. three times a week for eight weeks. The cognitive function of the participants was measured using the Thai version of the Montreal Cognitive Assessment (Thai-MoCA), their sleep quality was measured using the Thai version of the Pittsburgh Sleep Quality Index (Thai-PSQI), and their quality of life was measured using the Thai version of the Quality of Life (Thai-QoL) questionnaire. After the 8-week period, the participants' scores for the Thai-MoCA and the Thai-QoL questionnaire showed a significant improvement (p < 0.001 for both), while the Thai-PSQI decreased significantly (p = 0.012). This suggests that taking short daytime naps can help to improve the cognitive function, sleep quality, and quality of life of MCI patients.
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Affiliation(s)
- Nuttapon Pengsuwankasem
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Phakkharawat Sittiprapaporn
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Warongporn Rattanabun
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Nipapan Sangmanee
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Karnt Wongsuphasawat
- Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Jarasphol Rintra
- Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Thamthiwat Nararatwanchai
- Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Araya Sarikaphuti
- Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Wongdyan Pandii
- Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
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Sleep preferentially consolidates negative aspects of human memory: Well-powered evidence from two large online experiments. Proc Natl Acad Sci U S A 2022; 119:e2202657119. [PMID: 36279434 PMCID: PMC9636942 DOI: 10.1073/pnas.2202657119] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Recent research has called into question whether sleep improves memory, especially for emotional information. However, many of these studies used a relatively small number of participants and focused only on college student samples, limiting both the power of these findings and their generalizability to the wider population. Here, using the well-established emotional memory trade-off task, we investigated sleep’s impact on memory for emotional components of scenes in a large online sample of adults ranging in age from 18 to 59 y. Despite the limitations inherent in using online samples, this well-powered study provides strong evidence that sleep selectively consolidates negative emotional aspects of memory and that this effect generalizes to participants across young adulthood and middle age. Research suggests that sleep benefits memory. Moreover, it is often claimed that sleep selectively benefits memory for emotionally salient information over neutral information. However, not all scientists are convinced by this relationship [e.g., J. M. Siegel. Curr. Sleep Med. Rep., 7, 15–18 (2021)]. One criticism of the overall sleep and memory literature—like other literature—is that many studies are underpowered and lacking in generalizability [M. J. Cordi, B. Rasch. Curr. Opin. Neurobiol., 67, 1–7 (2021)], thus leaving the evidence mixed and confusing to interpret. Because large replication studies are sorely needed, we recruited over 250 participants spanning various age ranges and backgrounds in an effort to confirm sleep’s preferential emotional memory consolidation benefit using a well-established task. We found that sleep selectively benefits memory for negative emotional objects at the expense of their paired neutral backgrounds, confirming our prior work and clearly demonstrating a role for sleep in emotional memory formation. In a second experiment also using a large sample, we examined whether this effect generalized to positive emotional memory. We found that while participants demonstrated better memory for positive objects compared to their neutral backgrounds, sleep did not modulate this effect. This research provides strong support for a sleep-specific benefit on memory consolidation for specifically negative information and more broadly affirms the benefit of sleep for cognition.
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Duivon M, Perrier J, Segura-Djezzar C, Joly F, Rehel S, Berthomier C, Grellard JM, Clarisse B, Geffrelot J, Emile G, Lévy C, Viader F, Eustache F, Desgranges B, Rauchs G, Giffard B. Sleep-dependent memory consolidation in breast cancer: Use of a virtual reality prospective memory task. Front Neurosci 2022; 16:908268. [PMID: 36161169 PMCID: PMC9489900 DOI: 10.3389/fnins.2022.908268] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022] Open
Abstract
Background Previous studies have revealed both sleep alterations and prospective memory (PM) impairments in breast cancer (BC) patients. PM refers to memory of intended actions and is crucial for daily living tasks and treatment compliance. As sleep is known to favor memory consolidation, one may expect that changes in sleep quality related to BC would have an impact on PM performance. This study aimed at assessing sleep-dependent consolidation of intentions using an ecological, virtual reality-based PM task in BC patients not treated with chemotherapy. Materials and methods Thirty-seven early stages BC patients and 21 healthy controls (HC) participated in this study. PM was assessed using a virtual reality task, during which participants learnt a list of intentions and recalled them after a retention interval filled with a day awake or a night of sleep monitored by polysomnography. Sleep spindles and slow waves, brain oscillations involved in sleep-dependent memory consolidation, were quantified automatically using the Aseega software (Physip). Subjective sleep disturbances and markers of quality of life (psychological distress, fatigue, and well-being) were assessed by questionnaires. Results Greater PM performance was observed after sleep than after an equivalent period of daytime wakefulness for both groups (HC and BC). PM performance after sleep did not differ significantly between groups. Yet, BC patients reported greater sleep disturbances than HC which were related with poorer intentions retrieval, greater psychological distress, fatigue and poorer well-being. The frequency of spindles was higher and the amplitude of slow waves lower in BC patients compared to HC. However, no significant association was observed between polysomnography parameters and PM scores in the whole sample of participants. Conclusion Although subtle changes in brain oscillations involved in sleep-dependent memory consolidation were observed, these changes did not significantly impair overnight PM consolidation in BC patients. Nevertheless, poorer PM performance was associated with greater sleep complaints which in turn were related to poorer quality of life. Overall, these data suggest that sleep-dependent PM consolidation mechanisms are not altered in early stages BC patients not treated with chemotherapy. Further investigations are needed to understand the association between markers of quality of life and sleep-dependent memory consolidation.
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Affiliation(s)
- Mylène Duivon
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
| | - Joy Perrier
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
| | - Carine Segura-Djezzar
- Department of Clinical Research Unit and Medical Oncology, Caen, France
- Institut Normand du Sein, Centre François Baclesse, Caen, France
| | - Florence Joly
- Department of Clinical Research Unit and Medical Oncology, Caen, France
- Institut Normand du Sein, Centre François Baclesse, Caen, France
- U1086 ANTICIPE, INSERM, Normandie University, UNICAEN, Caen, France
- Cancer and Cognition Platform, Ligue Nationale Contre le Cancer, Caen, France
| | - Stéphane Rehel
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
| | | | | | | | - Julien Geffrelot
- Department of Clinical Research Unit and Medical Oncology, Caen, France
- Institut Normand du Sein, Centre François Baclesse, Caen, France
| | - George Emile
- Department of Clinical Research Unit and Medical Oncology, Caen, France
- Institut Normand du Sein, Centre François Baclesse, Caen, France
| | - Christelle Lévy
- Department of Clinical Research Unit and Medical Oncology, Caen, France
- Institut Normand du Sein, Centre François Baclesse, Caen, France
| | - Fausto Viader
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
| | - Francis Eustache
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
| | - Béatrice Desgranges
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
| | - Géraldine Rauchs
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
| | - Bénédicte Giffard
- Neuropsychologie et Imagerie de la Mémoire Humaine, U1077, Normandie University, UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, Caen, France
- Cancer and Cognition Platform, Ligue Nationale Contre le Cancer, Caen, France
- *Correspondence: Bénédicte Giffard,
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Hoedlmoser K, Peigneux P, Rauchs G. Recent advances in memory consolidation and information processing during sleep. J Sleep Res 2022; 31:e13607. [DOI: 10.1111/jsr.13607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 03/25/2022] [Accepted: 03/25/2022] [Indexed: 12/20/2022]
Affiliation(s)
- Kerstin Hoedlmoser
- Department of Psychology, Centre for Cognitive Neuroscience (CCNS), Laboratory for “Sleep, Cognition and Consciousness Research” University of Salzburg Salzburg Austria
| | - Philippe Peigneux
- UR2NF – Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN – Centre for Research in Cognition and Neurosciences and UNI – ULB Neuroscience Institute Bruxelles Belgium
| | - Géraldine Rauchs
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut Blood and Brain @ Caen‐Normandie Normandie Univ Caen France
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Lücke AJ, Wrzus C, Gerstorf D, Kunzmann U, Katzorreck M, Schmiedek F, Hoppmann C, Schilling OK. Between-person and within-person associations of sleep and working-memory in the everyday lives of old and very old adults: initial level, learning, and variability. Sleep 2021; 45:6433636. [PMID: 34922403 DOI: 10.1093/sleep/zsab279] [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: 07/21/2021] [Revised: 11/16/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Sleep duration affects various aspects of cognitive performance, such as working-memory and learning, among children and adults. However, it remains open, whether similar or even stronger associations exist in old and very old age when changes in sleep and cognitive decrements are common. METHODS Using repeated daily-life assessments from a sample of 121 young-old (66-69 years old) and 39 old-old adults (84-90 years old), we assessed links between sleep duration and different aspects of working-memory (initial level, practice-related learning, and residualized variability) between and within persons. Participants reported their sleep durations every morning and performed a numerical working-memory updating task six times a day for seven consecutive days. RESULTS Both people who slept longer and those who slept shorter than the sample average showed lower initial performance levels, but a stronger increase of WM over time (i.e. larger learning effects), relative to people with average sleep. Sleep duration did not predict performance variability. Within-person associations were found for people sleeping relatively little on average: For them, working-memory performance was lower on days with shorter than average sleep, yet higher on days with longer than average sleep. Except for lower initial levels of working-memory in old-old adults, no differences between young-old and old-old adults were observed. CONCLUSION We conclude that sufficient sleep remains important for working-memory performance in older adults and that it is relevant to include different aspects of working-memory performance, because effects differed for initial performance and learning.
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Affiliation(s)
- Anna J Lücke
- Institute of Psychology, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | - Cornelia Wrzus
- Institute of Psychology, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | - Denis Gerstorf
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Ute Kunzmann
- Institute of Psychology, University of Leipzig, Leipzig, Germany
| | - Martin Katzorreck
- Department of Psychology, Humboldt University Berlin, Berlin, Germany.,Institute of Psychology, University of Leipzig, Leipzig, Germany
| | - Florian Schmiedek
- DIPF
- Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
| | | | - Oliver K Schilling
- Institute of Psychology, Ruprecht Karls University Heidelberg, Heidelberg, Germany
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