1
|
Wang X, McGowan AL, Fosco GM, Falk EB, Bassett DS, Lydon-Staley DM. A socioemotional network perspective on momentary experiences of family conflict in young adults. Fam Process 2024. [PMID: 38529525 DOI: 10.1111/famp.12995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 01/29/2024] [Accepted: 03/11/2024] [Indexed: 03/27/2024]
Abstract
Family conflict is an established predictor of psychopathology in youth. Traditional approaches focus on between-family differences in conflict. Daily fluctuations in conflict within families might also impact psychopathology, but more research is needed to understand how and why. Using 21 days of daily diary data and 6-times a day experience-sampling data (N = 77 participants; mean age = 21.18, SD = 1.75; 63 women, 14 men), we captured day-to-day and within-day fluctuations in family conflict, anger, anxiety, and sadness. Using multilevel models, we find that days of higher-than-usual anger are also days of higher-than-usual family conflict. Examining associations between family conflict and emotions within days, we find that moments of higher-than-usual anger predict higher-than-usual family conflict later in the day. We observe substantial between-family differences in these patterns with implications for psychopathology; youth showing the substantial interplay between family conflict and emotions across time had a more perseverative family conflict and greater trait anxiety. Overall, findings indicate the importance of increases in youth anger for experiences of family conflict during young adulthood and demonstrate how intensive repeated measures coupled with network analytic approaches can capture long-theorized notions of reciprocal processes in daily family life.
Collapse
Affiliation(s)
- Xinyi Wang
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Amanda L McGowan
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Gregory M Fosco
- Human Development & Family Studies, The Pennsylvania State University, State College, Pennsylvania, USA
- The Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, State College, Pennsylvania, USA
| | - Emily B Falk
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Marketing Department, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dani S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Santa Fe Institute, Santa Fe, New Mexico, USA
| | - David M Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
2
|
Clark J, Vincent A, Wang X, McGowan AL, Lydon-Staley DM. Smokers' Curiosity Facilitates Recall of Tobacco-Related Health Information. Health Commun 2023; 38:3357-3365. [PMID: 36453248 DOI: 10.1080/10410236.2022.2149098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Curiosity promotes learning. Two open questions concern the extent to which tobacco smokers exhibit curiosity about smoking-related health information and whether this curiosity can facilitate recall of this information. Participants (n = 324 smokers; n = 280 nonsmokers) performed a Trivia Guessing Task wherein participants guessed the answers to general trivia and smoking-related trivia questions and provided ratings of their curiosity prior to viewing the answers to the questions. A subset of participants (n = 121 smokers; n = 97 nonsmokers) completed a surprise Trivia Memory Task one-week later and answered the previously-viewed questions. Results indicate that smokers are no less curious about smoking-related trivia than they are about general trivia and that curiosity about the answer to smoking-related trivia is associated with more accurate recall of smoking-related trivia answers one week later. Findings suggest that engendering states of curiosity for smoking-related information may facilitate retention of that information in smokers.
Collapse
Affiliation(s)
- Jaydin Clark
- Annenberg School for Communication, University of Pennsylvania
| | - Asia Vincent
- Annenberg School for Communication, University of Pennsylvania
| | - Xinyi Wang
- Annenberg School for Communication, University of Pennsylvania
| | | | - David M Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania
- Leonard Davis Institute of Health Economics, University of Pennsylvania
| |
Collapse
|
3
|
Mahadevan AS, Cornblath EJ, Lydon-Staley DM, Zhou D, Parkes L, Larsen B, Adebimpe A, Kahn AE, Gur RC, Gur RE, Satterthwaite TD, Wolf DH, Bassett DS. Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study. Mol Psychiatry 2023; 28:3314-3323. [PMID: 37353585 PMCID: PMC10618098 DOI: 10.1038/s41380-023-02121-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/28/2023] [Accepted: 06/06/2023] [Indexed: 06/25/2023]
Abstract
Schizophrenia is marked by deficits in facial affect processing associated with abnormalities in GABAergic circuitry, deficits also found in first-degree relatives. Facial affect processing involves a distributed network of brain regions including limbic regions like amygdala and visual processing areas like fusiform cortex. Pharmacological modulation of GABAergic circuitry using benzodiazepines like alprazolam can be useful for studying this facial affect processing network and associated GABAergic abnormalities in schizophrenia. Here, we use pharmacological modulation and computational modeling to study the contribution of GABAergic abnormalities toward emotion processing deficits in schizophrenia. Specifically, we apply principles from network control theory to model persistence energy - the control energy required to maintain brain activation states - during emotion identification and recall tasks, with and without administration of alprazolam, in a sample of first-degree relatives and healthy controls. Here, persistence energy quantifies the magnitude of theoretical external inputs during the task. We find that alprazolam increases persistence energy in relatives but not in controls during threatening face processing, suggesting a compensatory mechanism given the relative absence of behavioral abnormalities in this sample of unaffected relatives. Further, we demonstrate that regions in the fusiform and occipital cortices are important for facilitating state transitions during facial affect processing. Finally, we uncover spatial relationships (i) between regional variation in differential control energy (alprazolam versus placebo) and (ii) both serotonin and dopamine neurotransmitter systems, indicating that alprazolam may exert its effects by altering neuromodulatory systems. Together, these findings provide a new perspective on the distributed emotion processing network and the effect of GABAergic modulation on this network, in addition to identifying an association between schizophrenia risk and abnormal GABAergic effects on persistence energy during threat processing.
Collapse
Affiliation(s)
- Arun S Mahadevan
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Eli J Cornblath
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - David M Lydon-Staley
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dale Zhou
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Linden Parkes
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Bart Larsen
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Azeez Adebimpe
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ari E Kahn
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dani S Bassett
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Santa Fe Institute, 1399 Hyde Park Rd, Santa Fe, NM, 87501, USA.
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| |
Collapse
|
4
|
Jovanova M, Cosme D, Doré B, Kang Y, Stanoi O, Cooper N, Helion C, Lomax S, McGowan AL, Boyd ZM, Bassett DS, Mucha PJ, Ochsner KN, Lydon-Staley DM, Falk EB. Psychological distance intervention reminders reduce alcohol consumption frequency in daily life. Sci Rep 2023; 13:12045. [PMID: 37491371 PMCID: PMC10368637 DOI: 10.1038/s41598-023-38478-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 07/09/2023] [Indexed: 07/27/2023] Open
Abstract
Modifying behaviors, such as alcohol consumption, is difficult. Creating psychological distance between unhealthy triggers and one's present experience can encourage change. Using two multisite, randomized experiments, we examine whether theory-driven strategies to create psychological distance-mindfulness and perspective-taking-can change drinking behaviors among young adults without alcohol dependence via a 28-day smartphone intervention (Study 1, N = 108 participants, 5492 observations; Study 2, N = 218 participants, 9994 observations). Study 2 presents a close replication with a fully remote delivery during the COVID-19 pandemic. During weeks when they received twice-a-day intervention reminders, individuals in the distancing interventions reported drinking less frequently than on control weeks-directionally in Study 1, and significantly in Study 2. Intervention reminders reduced drinking frequency but did not impact amount. We find that smartphone-based mindfulness and perspective-taking interventions, aimed to create psychological distance, can change behavior. This approach requires repeated reminders, which can be delivered via smartphones.
Collapse
Affiliation(s)
- Mia Jovanova
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA.
| | - Danielle Cosme
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA
| | - Bruce Doré
- Desautels Faculty of Management, McGill University, Montreal, Canada
| | - Yoona Kang
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA
| | - Ovidia Stanoi
- Department of Psychology, Columbia University, New York, USA
| | - Nicole Cooper
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA
| | - Chelsea Helion
- Department of Psychology, Temple University, Philadelphia, USA
| | - Silicia Lomax
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA
| | - Amanda L McGowan
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA
| | - Zachary M Boyd
- Mathematics Department, Brigham Young University, Provo, USA
| | - Dani S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, USA
- Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, USA
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, USA
- The Santa Fe Institute, Santa Fe, USA
| | - Peter J Mucha
- Department of Mathematics, Dartmouth College, Hanover, USA
| | - Kevin N Ochsner
- Department of Psychology, Columbia University, New York, USA
| | - David M Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, USA
| | - Emily B Falk
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA.
- Department of Psychology, University of Pennsylvania, Philadelphia, USA.
- Wharton Marketing Department, University of Pennsylvania, Philadelphia, USA.
- Wharton Operations, Information and Decisions Department, University of Pennsylvania, Philadelphia, USA.
| |
Collapse
|
5
|
Lyew T, Ikhlas A, Sayed F, Vincent A, Lydon-Staley DM. Curiosity, Surprise, and the Recall of Tobacco-Related Health Information in Adolescents. J Health Commun 2023:1-12. [PMID: 37318238 DOI: 10.1080/10810730.2023.2224254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
A key goal of health communications designed to prevent smoking initiation during adolescence is for the tobacco-related information to be retained in memory beyond immediate message exposure. Here, we test the role for epistemic emotions, specifically curiosity and surprise, in facilitating memory for tobacco-related health information. Participants (n = 294 never-smoking adolescents, ages 14-16 years) performed a trivia guessing task wherein they guessed the answers to general trivia and smoking-related trivia questions. A subset of participants (n = 154) completed a surprise trivia memory task one week later and answered the previously viewed questions. Results indicate that curiosity about the answers to smoking-related trivia is associated with more accurate recall of smoking-related trivia answers one week later. Surprise also facilitated memory for smoking-related trivia, but the association was limited to cases where confidence in prior knowledge was low. Indeed, when participants had high confidence in their prior knowledge, surprise about the answer to trivia questions was associated with worse recall. Findings suggest that engendering states of curiosity for smoking-related information may facilitate retention of that information in never-smoking adolescents and highlight the need to examine both surprise and confidence in health communications to avoid low message recall.
Collapse
Affiliation(s)
- T Lyew
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - A Ikhlas
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - F Sayed
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - A Vincent
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - D M Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
6
|
McGowan AL, Sayed F, Boyd ZM, Jovanova M, Kang Y, Speer ME, Cosme D, Mucha PJ, Ochsner KN, Bassett DS, Falk EB, Lydon-Staley DM. Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones. Biol Psychiatry 2023; 93:681-689. [PMID: 36797176 PMCID: PMC10038886 DOI: 10.1016/j.biopsych.2022.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 11/22/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
Together, data from brain scanners and smartphones have sufficient coverage of biology, psychology, and environment to articulate between-person differences in the interplay within and across biological, psychological, and environmental systems thought to underlie psychopathology. An important next step is to develop frameworks that combine these two modalities in ways that leverage their coverage across layers of human experience to have maximum impact on our understanding and treatment of psychopathology. We review literature published in the last 3 years highlighting how scanners and smartphones have been combined to date, outline and discuss the strengths and weaknesses of existing approaches, and sketch a network science framework heretofore underrepresented in work combining scanners and smartphones that can push forward our understanding of health and disease.
Collapse
Affiliation(s)
- Amanda L McGowan
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychology, Concordia University, Montréal, Québec, Canada
| | - Farah Sayed
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zachary M Boyd
- Department of Mathematics, Brigham Young University, Provo, Utah
| | - Mia Jovanova
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yoona Kang
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Megan E Speer
- Department of Psychology, Columbia University, New York, New York
| | - Danielle Cosme
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Peter J Mucha
- Department of Mathematics, Dartmouth College, Hanover, New Hampshire
| | - Kevin N Ochsner
- Department of Psychology, Columbia University, New York, New York
| | - Dani S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Santa Fe Institute, Santa Fe, New Mexico
| | - Emily B Falk
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania; Marketing Department, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania; Operations, Information and Decisions, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David M Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania.
| |
Collapse
|
7
|
Mak HW, Lydon-Staley DM, Lunkenheimer E, Lai MHC, Fosco GM. The roles of caregivers and friends in adolescent daily emotion dynamics. Soc Dev 2023; 32:263-282. [PMID: 37664643 PMCID: PMC10470583 DOI: 10.1111/sode.12637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 08/08/2022] [Indexed: 11/30/2022]
Abstract
Daily emotion dynamics provide valuable information about individuals' emotion processes as they go about their lives. Emotion dynamics such as emotion levels (mean), emotion variability (degree of fluctuation), and emotion network density (strength of temporal connections among emotions) are associated with risks for various psychopathology in youth and adults. Prior work has shown that caregivers and friends play crucial socializing roles in adolescent emotional well-being, but less is known about their roles in daily emotion dynamics. This study examined whether caregiver emotion coaching, caregiver-adolescent closeness, and friendship quality were associated with adolescents' emotion levels, emotion variability, and emotion network density. Further, we examined whether caregiver-adolescent closeness moderated the associations between coaching and emotion dynamics. Participants were 150 adolescents (61% girls; Mage = 14.75) and one of their caregivers (95% female; Mage = 43.35) who completed a baseline survey and 21 daily surveys. Results showed that caregiver emotion coaching interacted with caregiver-adolescent closeness in predicting emotion levels and variability. Specifically, when closeness was higher, emotion coaching was significantly associated with lower sadness and anger levels, higher happiness levels, and lower happiness variability. Caregiver emotion coaching, independent of closeness, was also associated with lower anxiety levels, lower sadness variability, and lower emotion network density. Friendship quality was significantly associated with lower levels of sadness, anxiety, and anger, higher levels of happiness, and lower variability in anxiety and anger. These findings suggest that caregivers and friends are central to everyday emotion levels and variability and a more flexible emotion system in adolescents.
Collapse
Affiliation(s)
- Hio Wa Mak
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 94143, USA
| | - David M. Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Erika Lunkenheimer
- Department of Psychology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Mark H. C. Lai
- Department of Psychology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Gregory M. Fosco
- Department of Human Development and Family Studies, and Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA 16802, USA
| |
Collapse
|
8
|
McGowan AL, Boyd ZM, Kang Y, Bennett L, Mucha PJ, Ochsner KN, Bassett DS, Falk EB, Lydon-Staley DM. Within-Person Temporal Associations Among Self-Reported Physical Activity, Sleep, and Well-Being in College Students. Psychosom Med 2023; 85:141-153. [PMID: 36728904 PMCID: PMC9918680 DOI: 10.1097/psy.0000000000001159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE A holistic understanding of the naturalistic dynamics among physical activity, sleep, emotions, and purpose in life as part of a system reflecting wellness is key to promoting well-being. The main aim of this study was to examine the day-to-day dynamics within this wellness system. METHODS Using self-reported emotions (happiness, sadness, anger, anxiousness) and physical activity periods collected twice per day, and daily reports of sleep and purpose in life via smartphone experience sampling, more than 28 days as college students ( n = 226 young adults; mean [standard deviation] = 20.2 [1.7] years) went about their daily lives, we examined day-to-day temporal and contemporaneous dynamics using multilevel vector autoregressive models that consider the network of wellness together. RESULTS Network analyses revealed that higher physical activity on a given day predicted an increase of happiness the next day. Higher sleep quality on a given night predicted a decrease in negative emotions the next day, and higher purpose in life predicted decreased negative emotions up to 2 days later. Nodes with the highest centrality were sadness, anxiety, and happiness in the temporal network and purpose in life, anxiety, and anger in the contemporaneous network. CONCLUSIONS Although the effects of sleep and physical activity on emotions and purpose in life may be shorter term, a sense of purpose in life is a critical component of wellness that can have slightly longer effects, bleeding into the next few days. High-arousal emotions and purpose in life are central to motivating people into action, which can lead to behavior change.
Collapse
Affiliation(s)
- Amanda L. McGowan
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, Concordia University, Montréal, Québec, Canada
| | - Zachary M. Boyd
- Department of Mathematics, Brigham Young University, Provo, UT, USA
| | - Yoona Kang
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
| | - Logan Bennett
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter J. Mucha
- Department of Mathematics, Dartmouth College, Hanover, NH, USA
| | - Kevin N. Ochsner
- Department of Psychology, Columbia University, New York City, NY, USA
| | - Dani S. Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
- Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Santa Fe Institute, Santa Fe, NM, USA
| | - Emily B. Falk
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
- Marketing Department, and Operations, Information and Decision Department, Wharton School, University of Pennsylvania, PA, USA
| | - David M. Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
9
|
von Schwanenflug N, Koch SP, Krohn S, Broeders TAA, Lydon-Staley DM, Bassett DS, Schoonheim MM, Paul F, Finke C. Increased flexibility of brain dynamics in patients with multiple sclerosis. Brain Commun 2023; 5:fcad143. [PMID: 37188221 PMCID: PMC10176242 DOI: 10.1093/braincomms/fcad143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/08/2023] [Accepted: 04/28/2023] [Indexed: 05/17/2023] Open
Abstract
Patients with multiple sclerosis consistently show widespread changes in functional connectivity. Yet, alterations are heterogeneous across studies, underscoring the complexity of functional reorganization in multiple sclerosis. Here, we aim to provide new insights by applying a time-resolved graph-analytical framework to identify a clinically relevant pattern of dynamic functional connectivity reconfigurations in multiple sclerosis. Resting-state data from 75 patients with multiple sclerosis (N = 75, female:male ratio of 3:2, median age: 42.0 ± 11.0 years, median disease duration: 6 ± 11.4 years) and 75 age- and sex-matched controls (N = 75, female:male ratio of 3:2, median age: 40.2 ± 11.8 years) were analysed using multilayer community detection. Local, resting-state functional system and global levels of dynamic functional connectivity reconfiguration were characterized using graph-theoretical measures including flexibility, promiscuity, cohesion, disjointedness and entropy. Moreover, we quantified hypo- and hyper-flexibility of brain regions and derived the flexibility reorganization index as a summary measure of whole-brain reorganization. Lastly, we explored the relationship between clinical disability and altered functional dynamics. Significant increases in global flexibility (t = 2.38, PFDR = 0.024), promiscuity (t = 1.94, PFDR = 0.038), entropy (t = 2.17, PFDR = 0.027) and cohesion (t = 2.45, PFDR = 0.024) were observed in patients and were driven by pericentral, limbic and subcortical regions. Importantly, these graph metrics were correlated with clinical disability such that greater reconfiguration dynamics tracked greater disability. Moreover, patients demonstrate a systematic shift in flexibility from sensorimotor areas to transmodal areas, with the most pronounced increases located in regions with generally low dynamics in controls. Together, these findings reveal a hyperflexible reorganization of brain activity in multiple sclerosis that clusters in pericentral, subcortical and limbic areas. This functional reorganization was linked to clinical disability, providing new evidence that alterations of multilayer temporal dynamics play a role in the manifestation of multiple sclerosis.
Collapse
Affiliation(s)
- Nina von Schwanenflug
- Department of Neurology and Experimental Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin 10098, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Stefan P Koch
- Department of Experimental Neurology, Center for Stroke Research Berlin, Berlin 10117, Germany
- NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Stephan Krohn
- Department of Neurology and Experimental Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin 10098, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Tommy A A Broeders
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1007 MB, The Netherlands
| | - David M Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia 19104, PA, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia 19104, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia 19104, PA, USA
| | - Dani S Bassett
- Department of Biological Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia 19104, PA, USA
- Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia 19104, PA, USA
- Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia 19104, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, PA, USA
- Santa Fe Institute, Santa Fe 87501, NM, USA
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1007 MB, The Netherlands
| | - Friedemann Paul
- Department of Neurology and Experimental Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin 10098, Germany
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Berlin 10117, Germany
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin 10017, Germany
| | - Carsten Finke
- Correspondence to: Carsten Finke Charité - Universitätsklinikum Berlin Department of Neurology and Experimental Neurology Campus Mitte, Bonhoeffer Weg 3, 10098 Berlin, Germany E-mail:
| |
Collapse
|
10
|
Dora J, Piccirillo M, Foster KT, Arbeau K, Armeli S, Auriacombe M, Bartholow B, Beltz AM, Blumenstock SM, Bold K, Bonar EE, Braitman A, Carpenter RW, Creswell KG, De Hart T, Dvorak RD, Emery N, Enkema M, Fairbairn C, Fairlie AM, Ferguson SG, Freire T, Goodman F, Gottfredson N, Halvorson M, Haroon M, Howard AL, Hussong A, Jackson KM, Jenzer T, Kelly DP, Kuczynski AM, Kuerbis A, Lee CM, Lewis M, Linden-Carmichael AN, Littlefield A, Lydon-Staley DM, Merrill JE, Miranda R, Mohr C, Read JP, Richardson C, O’Connor R, O’Malley SS, Papp L, Piasecki TM, Sacco P, Scaglione N, Serre F, Shadur J, Sher KJ, Shoda Y, Simpson TL, Smith MR, Stevens A, Stevenson B, Tennen H, Todd M, Treloar Padovano H, Trull T, Waddell J, Walukevich-Dienst K, Witkiewitz K, Wray T, Wright AG, Wycoff AM, King KM. The daily association between affect and alcohol use: A meta-analysis of individual participant data. Psychol Bull 2023; 149:1-24. [PMID: 37560174 PMCID: PMC10409490 DOI: 10.1037/bul0000387] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect, but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol, but not on days they experienced higher negative and positive affect. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increases in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use.
Collapse
Affiliation(s)
- Jonas Dora
- University of Washington; Seattle, United States
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Noah Emery
- Colorado State University; Fort Collins, United States
| | | | | | | | | | | | | | | | | | | | | | - Andrea Hussong
- University of North Carolina; Chapel Hill, United States
| | | | | | | | | | - Alexis Kuerbis
- Hunter College of the City University of New York; New York, United States
| | | | - Melissa Lewis
- University of North Texas; Fort Worth, United States
| | | | | | | | | | | | - Cynthia Mohr
- Portland State University; Portland, United States
| | | | | | | | | | - Lauren Papp
- University of Wisconsin; Madison, United States
| | | | - Paul Sacco
- University of Maryland; Baltimore, United States
| | | | | | | | | | - Yuichi Shoda
- University of Washington; Seattle, United States
| | - Tracy L. Simpson
- University of Washington; Seattle, United States
- VA Puget Sound Healthcare System; Seattle, United States
| | | | | | | | - Howard Tennen
- University of Connecticut; Farmington, United States
| | | | | | - Timothy Trull
- University of Missouri-Columbia; Columbia, United States
| | | | | | | | - Tyler Wray
- Brown University; Providence, United States
| | | | | | | |
Collapse
|
11
|
Brinberg M, Lydon-Staley DM. Conceptualizing and Examining Change in Communication Research. Commun Methods Meas 2023; 17:59-82. [PMID: 37122497 PMCID: PMC10139745 DOI: 10.1080/19312458.2023.2167197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Communication research often focuses on processes of communication, such as how messages impact individuals over time or how interpersonal relationships develop and change. Despite their importance, these change processes are often implicit in much theoretical and empirical work in communication. Intensive longitudinal data are becoming increasingly feasible to collect and, when coupled with appropriate analytic frameworks, enable researchers to better explore and articulate the types of change underlying communication processes. To facilitate the study of change processes, we (a) describe advances in data collection and analytic methods that allow researchers to articulate complex change processes of phenomena in communication research, (b) provide an overview of change processes and how they may be captured with intensive longitudinal methods, and (c) discuss considerations of capturing change when designing and implementing studies. We are excited about the future of studying processes of change in communication research, and we look forward to the iterations between empirical tests and theory revision that will occur as researchers delve into studying change within communication processes.
Collapse
|
12
|
Richie-Halford A, Cieslak M, Ai L, Caffarra S, Covitz S, Franco AR, Karipidis II, Kruper J, Milham M, Avelar-Pereira B, Roy E, Sydnor VJ, Yeatman JD, Abbott NJ, Anderson JAE, Gagana B, Bleile M, Bloomfield PS, Bottom V, Bourque J, Boyle R, Brynildsen JK, Calarco N, Castrellon JJ, Chaku N, Chen B, Chopra S, Coffey EBJ, Colenbier N, Cox DJ, Crippen JE, Crouse JJ, David S, Leener BD, Delap G, Deng ZD, Dugre JR, Eklund A, Ellis K, Ered A, Farmer H, Faskowitz J, Finch JE, Flandin G, Flounders MW, Fonville L, Frandsen SB, Garic D, Garrido-Vásquez P, Gonzalez-Escamilla G, Grogans SE, Grotheer M, Gruskin DC, Guberman GI, Haggerty EB, Hahn Y, Hall EH, Hanson JL, Harel Y, Vieira BH, Hettwer MD, Hobday H, Horien C, Huang F, Huque ZM, James AR, Kahhale I, Kamhout SLH, Keller AS, Khera HS, Kiar G, Kirk PA, Kohl SH, Korenic SA, Korponay C, Kozlowski AK, Kraljevic N, Lazari A, Leavitt MJ, Li Z, Liberati G, Lorenc ES, Lossin AJ, Lotter LD, Lydon-Staley DM, Madan CR, Magielse N, Marusak HA, Mayor J, McGowan AL, Mehta KP, Meisler SL, Michael C, Mitchell ME, Morand-Beaulieu S, Newman BT, Nielsen JA, O’Mara SM, Ojha A, Omary A, Özarslan E, Parkes L, Peterson M, Pines AR, Pisanu C, Rich RR, Sahoo AK, Samara A, Sayed F, Schneider JT, Shaffer LS, Shatalina E, Sims SA, Sinclair S, Song JW, Hogrogian GS, Tamnes CK, Tooley UA, Tripathi V, Turker HB, Valk SL, Wall MB, Walther CK, Wang Y, Wegmann B, Welton T, Wiesman AI, Wiesman AG, Wiesman M, Winters DE, Yuan R, Zacharek SJ, Zajner C, Zakharov I, Zammarchi G, Zhou D, Zimmerman B, Zoner K, Satterthwaite TD, Rokem A. Author Correction: An analysis-ready and quality controlled resource for pediatric brain white-matter research. Sci Data 2022; 9:709. [PMID: 36396653 PMCID: PMC9671885 DOI: 10.1038/s41597-022-01816-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
|
13
|
Jovanova M, Falk EB, Parelman JM, Pandey P, O’Donnell MB, Kang Y, Bassett DS, Lydon-Staley DM. Brain system integration and message consistent health behavior change. Health Psychol 2022; 41:611-620. [PMID: 36006700 PMCID: PMC10152515 DOI: 10.1037/hea0001201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Modifiable behaviors, including physical activity and sedentary behavior, are important determinants of health, and messages are important tools for influencing these behaviors. Functional neuroimaging research suggests that activity in regions of the brain's default mode and salience systems are independently associated with attending to health promoting messages. However, it remains unclear how these brain systems interact during exposure to persuasive messages and how this interaction relates to subsequent behavior change. Here, we examine how between-person differences in the relative integration between default mode and salience systems while viewing health messages relates to changes in health behavior. METHOD Using wrist-worn accelerometers, we logged physical activity in 150 participants (mean age = 33.17 years, 64% women; 43% Black, 37% white, 7% Asian, 5% Hispanic, and 8% other) continuously for an average of 10 days. Participants then viewed health messages encouraging physical activity while undergoing functional MRI (fMRI) and completed an additional month where physical activity was logged and the health messages were reinforced with daily text reminders. RESULTS Individuals with higher default mode and salience system integration during health message exposure were more likely to decrease their sedentary behavior and increase light physical activity in the month following fMRI than participants with lower brain integration. CONCLUSIONS Interactions between the salience and default mode systems are associated with message receptivity and subsequent behavior change, highlighting the value of expanding the focus from the role of single brain regions in studying health behavior change to larger-scale connectivity. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Collapse
Affiliation(s)
- Mia Jovanova
- Annenberg School for Communication, University of Pennsylvania, USA
| | - Emily B. Falk
- Annenberg School for Communication, University of Pennsylvania, USA
- Department of Psychology, University of Pennsylvania, USA
- Wharton Marketing Department, University of Pennsylvania, USA
| | | | | | | | - Yoona Kang
- Annenberg School for Communication, University of Pennsylvania, USA
| | - Dani S. Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, USA
- Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA
- Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, USA
- The Santa Fe Institute, USA
| | - David M. Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, USA
| |
Collapse
|
14
|
Xia CH, Barnett I, Tapera TM, Adebimpe A, Baker JT, Bassett DS, Brotman MA, Calkins ME, Cui Z, Leibenluft E, Linguiti S, Lydon-Staley DM, Martin ML, Moore TM, Murtha K, Piiwaa K, Pines A, Roalf DR, Rush-Goebel S, Wolf DH, Ungar LH, Satterthwaite TD. Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity. Neuropsychopharmacology 2022; 47:1662-1671. [PMID: 35660803 PMCID: PMC9163291 DOI: 10.1038/s41386-022-01351-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 05/18/2022] [Accepted: 05/23/2022] [Indexed: 11/09/2022]
Abstract
Mapping individual differences in behavior is fundamental to personalized neuroscience, but quantifying complex behavior in real world settings remains a challenge. While mobility patterns captured by smartphones have increasingly been linked to a range of psychiatric symptoms, existing research has not specifically examined whether individuals have person-specific mobility patterns. We collected over 3000 days of mobility data from a sample of 41 adolescents and young adults (age 17-30 years, 28 female) with affective instability. We extracted summary mobility metrics from GPS and accelerometer data and used their covariance structures to identify individuals and calculated the individual identification accuracy-i.e., their "footprint distinctiveness". We found that statistical patterns of smartphone-based mobility features represented unique "footprints" that allow individual identification (p < 0.001). Critically, mobility footprints exhibited varying levels of person-specific distinctiveness (4-99%), which was associated with age and sex. Furthermore, reduced individual footprint distinctiveness was associated with instability in affect (p < 0.05) and circadian patterns (p < 0.05) as measured by environmental momentary assessment. Finally, brain functional connectivity, especially those in the somatomotor network, was linked to individual differences in mobility patterns (p < 0.05). Together, these results suggest that real-world mobility patterns may provide individual-specific signatures relevant for studies of development, sleep, and psychopathology.
Collapse
Affiliation(s)
- Cedric Huchuan Xia
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ian Barnett
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tinashe M Tapera
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Azeez Adebimpe
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Justin T Baker
- McLean Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Danielle S Bassett
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Santa Fe Institute, Santa Fe, NM, 87501, USA
| | - Melissa A Brotman
- National Institute of Mental Health, Intramural Research Program, Bethesda, MD, 20892, USA
| | - Monica E Calkins
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Zaixu Cui
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ellen Leibenluft
- National Institute of Mental Health, Intramural Research Program, Bethesda, MD, 20892, USA
| | - Sophia Linguiti
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David M Lydon-Staley
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Annenberg School of Communication, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Melissa Lynne Martin
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tyler M Moore
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kristin Murtha
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kayla Piiwaa
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Adam Pines
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David R Roalf
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sage Rush-Goebel
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Daniel H Wolf
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lyle H Ungar
- Department of Computer and Information Science, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Operations, Information and Decisions, Wharton School, Philadelphia, PA, 19104, USA.,Department of Psychology, School of Arts and Sciences, Philadelphia, PA, 19104, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. .,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA. .,Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA. .,Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| |
Collapse
|
15
|
McGowan AL, Falk EB, Zurn P, Bassett DS, Lydon-Staley DM. Daily sensation-seeking and urgency in young adults: Examining associations with alcohol use and self-defined risky behaviors. Addict Behav 2022; 127:107219. [PMID: 34999519 PMCID: PMC9039909 DOI: 10.1016/j.addbeh.2021.107219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/16/2021] [Accepted: 12/18/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE To examine the dynamic expression of sensation-seeking and urgency in daily life and the implications for alcohol use and risk-taking during young adulthood. METHODS Daily diary surveys were administered to young adults (n = 77) aged 18-25 years every evening for 21 days to assess day's sensation-seeking, urgency, risk-taking, and alcohol use. RESULTS Days of higher than usual sensation-seeking are also days of higher than usual risk-taking and are more likely to be alcohol use days than days of lower than usual sensation-seeking. Day's urgency was not associated with day's alcohol use or risk-taking. We extracted 10 themes from self-reports of the day's riskiest behavior: transportation (29.9%), social (22.8%), recreation (17.4%), work (14.8%), school (13.5%), food (9.5%), sleep (9.2%), substance use (5.8%), other (5.2%), and jaywalking (1.5%), and 14.6% of self-reported risky behaviors were considered threatening to safety, health, or wellbeing. CONCLUSIONS Risks taken during daily life have mostly positive outcomes and a minority represent threats to safety, health, and wellbeing. Risk-taking and alcohol use in young adult's daily lives is more likely to be driven by the desire to experience novel and exciting experiences than by rash action.
Collapse
Affiliation(s)
- A L McGowan
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
| | - E B Falk
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA; Marketing Department, Wharton School, University of Pennsylvania, PA, USA
| | - P Zurn
- Department of Philosophy and Religion, American University, Washington, DC, USA
| | - D S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA; Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Santa Fe Institute, Santa Fe, NM, USA
| | - D M Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| |
Collapse
|
16
|
Leonard JA, Lydon-Staley DM, Sharp SDS, Liu HZ, Park AT, Bassett DS, Duckworth AL, Mackey AP. Daily fluctuations in young children's persistence. Child Dev 2022; 93:e222-e236. [PMID: 34904237 PMCID: PMC8930564 DOI: 10.1111/cdev.13717] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Children's behavior changes from day to day, but the factors that contribute to its variability are understudied. We developed a novel repeated measures paradigm to study children's persistence by capitalizing on a task that children complete every day: toothbrushing (N = 81; 48% female; 36-47 months; 80% white, 14% Multiracial, 10% Hispanic, 2% Asian, 1% Black; 1195 observations collected between January 2019 and March 2020). Children brushed longer on days when their parents used more praise (d = .23) and less instruction (d = -.22). Sensitivity to mood, sleep, and parent stress varied across children, suggesting that identifying the factors that shape an individual child's persistence could lead to personalized interventions.
Collapse
Affiliation(s)
- Julia A. Leonard
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104 USA,Department of Psychology, Yale University, New Haven, CT, 06511 USA,Corresponding author: Julia Leonard,
| | - David M. Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104 USA,Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Sophie D. S. Sharp
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Hunter Z. Liu
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Anne T. Park
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Danielle S. Bassett
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104 USA,Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA,Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA 19104 USA,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA,Santa Fe Institute, Santa Fe, NM 87501 USA
| | - Angela L. Duckworth
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Allyson P. Mackey
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104 USA
| |
Collapse
|
17
|
Cornblath EJ, Mahadevan A, He X, Ruparel K, Lydon-Staley DM, Moore TM, Gur RC, Zackai EH, Emanuel B, McDonald-McGinn DM, Wolf DH, Satterthwaite TD, Roalf DR, Gur RE, Bassett DS. Altered functional brain dynamics in chromosome 22q11.2 deletion syndrome during facial affect processing. Mol Psychiatry 2022; 27:1158-1166. [PMID: 34686764 PMCID: PMC9023602 DOI: 10.1038/s41380-021-01302-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 08/10/2021] [Accepted: 09/09/2021] [Indexed: 01/21/2023]
Abstract
Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a multisystem disorder associated with multiple congenital anomalies, variable medical features, and neurodevelopmental differences resulting in diverse psychiatric phenotypes, including marked deficits in facial memory and social cognition. Neuroimaging in individuals with 22q11.2DS has revealed differences relative to matched controls in BOLD fMRI activation during facial affect processing tasks. However, time-varying interactions between brain areas during facial affect processing have not yet been studied with BOLD fMRI in 22q11.2DS. We applied constrained principal component analysis to identify temporally overlapping brain activation patterns from BOLD fMRI data acquired during an emotion identification task from 58 individuals with 22q11.2DS and 58 age-, race-, and sex-matched healthy controls. Delayed frontal-motor feedback signals were diminished in individuals with 22q11.2DS, as were delayed emotional memory signals engaging amygdala, hippocampus, and entorhinal cortex. Early task-related engagement of motor and visual cortices and salience-related insular activation were relatively preserved in 22q11.2DS. Insular activation was associated with task performance within the 22q11.2DS sample. Differences in cortical surface area, but not cortical thickness, showed spatial alignment with an activation pattern associated with face processing. These findings suggest that relative to matched controls, primary visual processing and insular function are relatively intact in individuals with 22q11.22DS, while motor feedback, face processing, and emotional memory processes are more affected. Such insights may help inform potential interventional targets and enhance the specificity of neuroimaging indices of cognitive dysfunction in 22q11.2DS.
Collapse
Affiliation(s)
- Eli J. Cornblath
- grid.25879.310000 0004 1936 8972Department of Neuroscience, Perelman School of Medicine, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Bioengineering, School of Engineering & Applied Science, Philadelphia, PA USA
| | - Arun Mahadevan
- grid.25879.310000 0004 1936 8972Department of Bioengineering, School of Engineering & Applied Science, Philadelphia, PA USA
| | - Xiaosong He
- grid.25879.310000 0004 1936 8972Department of Bioengineering, School of Engineering & Applied Science, Philadelphia, PA USA
| | - Kosha Ruparel
- grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA
| | - David M. Lydon-Staley
- grid.25879.310000 0004 1936 8972Department of Bioengineering, School of Engineering & Applied Science, Philadelphia, PA USA
| | - Tyler M. Moore
- grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA
| | - Ruben C. Gur
- grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Neurology, Perelman School of Medicine, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Radiology, Perelman School of Medicine, Philadelphia, PA USA
| | - Elaine H. Zackai
- grid.239552.a0000 0001 0680 877022q and You and Clinical Genetics Centers, Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Beverly Emanuel
- grid.239552.a0000 0001 0680 8770Division of Human Genetics, Department of Pediatrics, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Donna M. McDonald-McGinn
- grid.239552.a0000 0001 0680 877022q and You and Clinical Genetics Centers, Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Daniel H. Wolf
- grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA
| | - Theodore D. Satterthwaite
- grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA
| | - David R. Roalf
- grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA
| | - Raquel E. Gur
- grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Neurology, Perelman School of Medicine, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Radiology, Perelman School of Medicine, Philadelphia, PA USA
| | - Dani S. Bassett
- grid.25879.310000 0004 1936 8972Department of Bioengineering, School of Engineering & Applied Science, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Psychiatry, Perelman School of Medicine, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Neurology, Perelman School of Medicine, Philadelphia, PA USA ,Department of Physics & Astronomy, College of Arts & Sciences, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Electrical & Systems Engineering, School of Engineering & Applied Science, Philadelphia, PA USA ,grid.209665.e0000 0001 1941 1940Santa Fe Institute, Santa Fe, NM USA ,grid.25879.310000 0004 1936 8972Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, Philadelphia, PA USA
| |
Collapse
|
18
|
McGowan AL, Bennett L, Bassett DS, Lydon-Staley DM. Naturalistic Fluctuations In Night-to-night Sleep Duration And Quality And Their Associations With Next Day Perceived Stress And Negative Mood. Med Sci Sports Exerc 2021. [DOI: 10.1249/01.mss.0000762656.69927.b4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
19
|
Lydon-Staley DM, Cornblath EJ, Blevins AS, Bassett DS. Modeling brain, symptom, and behavior in the winds of change. Neuropsychopharmacology 2021; 46:20-32. [PMID: 32859996 PMCID: PMC7689481 DOI: 10.1038/s41386-020-00805-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/19/2020] [Accepted: 07/22/2020] [Indexed: 02/08/2023]
Abstract
Neuropsychopharmacology addresses pressing questions in the study of three intertwined complex systems: the brain, human behavior, and symptoms of illness. The field seeks to understand the perturbations that impinge upon those systems, either driving greater health or illness. In the pursuit of this aim, investigators often perform analyses that make certain assumptions about the nature of the systems that are being perturbed. Those assumptions can be encoded in powerful computational models that serve to bridge the wide gulf between a descriptive analysis and a formal theory of a system's response. Here we review a set of three such models along a continuum of complexity, moving from a local treatment to a network treatment: one commonly applied form of the general linear model, impulse response models, and network control models. For each, we describe the model's basic form, review its use in the field, and provide a frank assessment of its relative strengths and weaknesses. The discussion naturally motivates future efforts to interlink data analysis, computational modeling, and formal theory. Our goal is to inspire practitioners to consider the assumptions implicit in their analytical approach, align those assumptions to the complexity of the systems under study, and take advantage of exciting recent advances in modeling the relations between perturbations and system function.
Collapse
Affiliation(s)
- David M Lydon-Staley
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Eli J Cornblath
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ann Sizemore Blevins
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- The Santa Fe Institute, Santa Fe, NM, 87501, USA.
| |
Collapse
|
20
|
Fosco GM, Lydon-Staley DM. Implications of Family Cohesion and Conflict for Adolescent Mood and Well-Being: Examining Within- and Between-Family Processes on a Daily Timescale. Fam Process 2020; 59:1672-1689. [PMID: 31802491 DOI: 10.1111/famp.12515] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 10/01/2019] [Accepted: 10/03/2019] [Indexed: 05/22/2023]
Abstract
Family-level conflict and cohesion are well-established predictors of adolescent mental health. However, traditional approaches focusing on between-family differences in cohesion and conflict may overlook daily intrafamily variability that might provide important new information. We used data from a 21-day daily diary protocol in a sample of 151 caregivers (95.3% female) and their adolescent child (61.5% female) in two-caregiver families to test whether daily changes in family functioning are associated with daily changes in adolescent well-being and whether adolescent well-being depends on average levels of family functioning. We examined family cohesion and conflict in relation to adolescent angry, depressed, and anxious mood, as well as happiness, life satisfaction, and meaning and purpose in life in multilevel models. Both cohesion and conflict exhibited meaningful daily variation. Adolescent-reported cohesion and conflict had unique within-family associations with all six adolescent outcomes. Models using parent reports of family functioning yielded fewer associations than models with adolescent reports; however, several findings remained. Cross-level interactions indicated that within-family variations in cohesion were only associated with adolescent depression in families with lower average levels of cohesion across days. In sum, this study provides compelling evidence that families exhibit meaningful variability from day to day and that daily variation has important implications for adolescent well-being.
Collapse
Affiliation(s)
- Gregory M Fosco
- Edna Bennett Pierce Prevention Research Center, Human Development and Family Studies, The Pennsylvania State University, State College, PA
| | | |
Collapse
|
21
|
Abstract
Throughout life, we might seek a calling, companions, skills, entertainment, truth, self-knowledge, beauty, and edification. The practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information. Despite its importance, curiosity has been challenging to computationally model because the practice of curiosity often flourishes without specific goals, external reward, or immediate feedback. Here, we show how network science, statistical physics, and philosophy can be integrated into an approach that coheres with and expands the psychological taxonomies of specific-diversive and perceptual-epistemic curiosity. Using this interdisciplinary approach, we distill functional modes of curious information seeking as searching movements in information space. The kinesthetic model of curiosity offers a vibrant counterpart to the deliberative predictions of model-based reinforcement learning. In doing so, this model unearths new computational opportunities for identifying what makes curiosity curious.
Collapse
Affiliation(s)
- Dale Zhou
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David M. Lydon-Staley
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania
- Annenberg School for Communication, University of Pennsylvania
- Leonard Davis Institute of Health Economics, University of Pennsylvania
| | - Perry Zurn
- Department of Philosophy & Religion, American University, Washington, D.C
| | - Danielle S. Bassett
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania
- Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania
- Santa Fe Institute, Santa Fe, NM 87501 USA
| |
Collapse
|
22
|
Abstract
Complex human cognition arises from the integrated processing of multiple brain systems. However, little is known about how brain systems and their interactions might relate to, or perhaps even explain, human cognitive capacities. Here, we address this gap in knowledge by proposing a mechanistic framework linking frontoparietal system activity, default mode system activity, and the interactions between them, with individual differences in working memory capacity. We show that working memory performance depends on the strength of functional interactions between the frontoparietal and default mode systems. We find that this strength is modulated by the activation of two newly described brain regions, and demonstrate that the functional role of these systems is underpinned by structural white matter. Broadly, our study presents a holistic account of how regional activity, functional connections, and structural linkages together support integrative processing across brain systems in order for the brain to execute a complex cognitive process.
Collapse
Affiliation(s)
- Andrew C Murphy
- Department of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Maxwell A Bertolero
- Department of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lia Papadopoulos
- Department of Physics and Astronomy, School of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David M Lydon-Staley
- Department of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Physics and Astronomy, School of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Electrical & Systems Engineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Santa Fe Institute, Santa Fe, NM, 87501, USA.
| |
Collapse
|
23
|
Lydon-Staley DM, Schnoll RA, Hitsman B, Bassett DS. The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling. Nicotine Tob Res 2020; 22:408-414. [PMID: 30452739 PMCID: PMC7297103 DOI: 10.1093/ntr/nty250] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 11/14/2018] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Network theories of psychopathology highlight that, rather than being indicators of a latent disorder, symptoms of disorders can causally interact with one another in a network. This study examined tobacco withdrawal from a network perspective. METHODS Participants (n = 525, 50.67% female) completed the Minnesota Tobacco Withdrawal Scale four times (2 weeks prior to a target quit day, on the target quit day, and 4 and 8 weeks after the target quit day) over the course of 8 weeks of treatment with nicotine patch and behavioral counseling within a randomized clinical trial testing long-term nicotine patch therapy in treatment-seeking smokers. The conditional dependence among seven withdrawal symptoms was estimated at each of the four measurement occasions. Influential symptoms of withdrawal were identified using centrality indices. Changes in network structure were examined using the Network Comparison Test. RESULTS Findings indicated many associations among the individual symptoms of withdrawal. The strongest associations that emerged were between sleep problems and restlessness, and associations among affective symptoms. Restlessness and affective symptoms emerged as the most central symptoms in the withdrawal networks. Minimal differences in the structure of the withdrawal networks emerged across time. CONCLUSIONS The cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal rather than simply reflecting passive indicators of a latent disorder. Findings encourage greater consideration of individual withdrawal symptoms and their potential interactions and may be used to generate hypotheses that may be tested in future intensive longitudinal studies. IMPLICATIONS This study provides a novel, network perspective on tobacco withdrawal. Drawing on network theories of psychopathology, we suggest that the cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal over time, rather than simply reflecting passive indicators of a latent disorder. Results indicating many associations among individual symptoms of withdrawal are consistent with a network perspective. Other results of interest include minimal changes in the network structure of withdrawal across four measurement occasions prior to and during treatment with nicotine patch and behavioral counseling.
Collapse
Affiliation(s)
- David M Lydon-Staley
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA
| | - Robert A Schnoll
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Brian Hitsman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Physics and Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA
| |
Collapse
|
24
|
Lydon-Staley DM, Falk EB, Bassett DS. Within-person variability in sensation-seeking during daily life: Positive associations with alcohol use and self-defined risky behaviors. Psychol Addict Behav 2019; 34:257-268. [PMID: 31815502 DOI: 10.1037/adb0000535] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Sensation-seeking is the seeking of varied, novel, and intense experiences and the willingness to take risks to engage in these experiences. Sensation-seeking is associated with engagement in risky behaviors but questions remain concerning the role of within-person variability in sensation-seeking. We use data from a 21-day daily diary from 167 participants (mean age = 25.37, SD = 7.34) to test within-person associations between sensation-seeking and both alcohol use and self-reported risk-taking. Participants also reported the riskiest behavior they engaged in each day, allowing insight into the perceived risky behaviors that participants take during daily life. Results indicate those days of higher than usual sensation-seeking are more likely to be days on which alcohol is consumed relative to days of no alcohol use. The association between day's sensation-seeking and alcohol use does not extend to the quantity of alcohol consumed. Risk-taking is higher than usual on days of higher than usual sensation-seeking. Using network science tools, we reduce 2,490 self-reports of the day's riskiest behavior to 20 communities reflecting a wide range of risk domains, including social, school, work, and drug use risks. Creating a risk-taking diversity score based on the identified domains of risk behaviors, we find that trait sensation-seeking is positively associated with greater diversity in the types of risks reported. In summary, we observe that sensation-seeking and both alcohol use and other risky behaviors are associated at the within-person level, and provide insight into the types of risks taken during the course of daily life. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
Collapse
|
25
|
Lydon-Staley DM, Kuehner C, Zamoscik V, Huffziger S, Kirsch P, Bassett DS. Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks. Transl Psychiatry 2019; 9:234. [PMID: 31534117 PMCID: PMC6751201 DOI: 10.1038/s41398-019-0560-0] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 04/11/2019] [Accepted: 05/13/2019] [Indexed: 12/23/2022] Open
Abstract
Repetitive negative thinking (RNT) is a maladaptive response to sadness and a transdiagnostic risk-factor. A critical challenge hampering attempts to promote more adaptive responses to sadness is that the between-person characteristics associated with the tendency for RNT remain uncharacterized. From the perspective of the impaired disengagement hypothesis, we examine between-person differences in blood-oxygen-level-dependent (BOLD) functional networks underlying cognitive conflict signaling, self-referential thought, and cognitive flexibility, and the association between sadness and RNT in daily life. We pair functional magnetic resonance imaging with ambulatory assessments deployed 10 times per day over 4 consecutive days measuring momentary sadness and RNT from 58 participants (40 female, mean age = 36.69 years; 29 remitted from a lifetime episode of Major Depression) in a multilevel model. We show that RNT increases following sadness for participants with higher than average between-network connectivity of the default mode network and the fronto-parietal network. We also show that RNT increases following increases in sadness for participants with lower than average between-network connectivity of the fronto-parietal network and the salience network. We also find that flexibility of the salience network's pattern of connections with brain regions is protective against increases in RNT following sadness. Our findings highlight the importance of functional brain networks implicated in cognitive conflict signaling, self-referential thought, and cognitive flexibility for understanding maladaptive responses to sadness in daily life and provide support for the impaired disengagement hypothesis of RNT.
Collapse
Affiliation(s)
- D M Lydon-Staley
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - C Kuehner
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - V Zamoscik
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - S Huffziger
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
- Institute Psychiatric and Psychosomatics Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - P Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - D S Bassett
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvani, Philadelphia, PA, 19104, USA.
- Santa Fe Institute, Santa Fe, NM, 87501, USA.
| |
Collapse
|
26
|
Abstract
Interparental conflict (IPC) is a well-established risk factor across child and adolescent development. This study disentangled situational (within-family) and global (between-family) appraisal processes to better map hypothesized processes to adolescents' experiences in the family. This 21-day daily dairy study sampled 151 caregivers and their adolescents (61.5% female). Using multilevel mediation analyses indicated that, on days when IPC was elevated, adolescents experienced more threat and self-blame. In turn, when adolescents experienced more threat appraisals, they experienced diminished positive well-being; whereas days when adolescents felt more self-blame, they experienced increased negative mood and diminished positive well-being. Statistically significant indirect effects were found for threat as a mediator of IPC and positive outcomes. Daily blame appraisals mediated IPC and adolescent angry mood.
Collapse
|
27
|
Tang E, Mattar MG, Giusti C, Lydon-Staley DM, Thompson-Schill SL, Bassett DS. Effective learning is accompanied by high-dimensional and efficient representations of neural activity. Nat Neurosci 2019; 22:1000-1009. [PMID: 31110323 DOI: 10.1038/s41593-019-0400-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 03/29/2019] [Indexed: 12/25/2022]
Abstract
A fundamental cognitive process is to map value and identity onto the objects we learn about. However, what space best embeds this mapping is not completely understood. Here we develop tools to quantify the space and organization of such a mapping in neural responses as reflected in functional MRI, to show that quick learners have a higher dimensional representation than slow learners, and hence more easily distinguishable whole-brain responses to objects of different value. Furthermore, we find that quick learners display more compact embedding of their neural responses, and hence have higher ratios of their stimuli dimension to their embedding dimension, which is consistent with greater efficiency of cognitive coding. Lastly, we investigate the neurophysiological drivers at smaller scales and study the complementary distinguishability of whole-brain responses. Our results demonstrate a spatial organization of neural responses characteristic of learning and offer geometric measures applicable to identifying efficient coding in higher-order cognitive processes.
Collapse
Affiliation(s)
- Evelyn Tang
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA.,Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
| | - Marcelo G Mattar
- Department of Psychology, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Chad Giusti
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA.,Department of Mathematical Sciences, College of Arts and Sciences, University of Delaware, Newark, DE, USA
| | - David M Lydon-Staley
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon L Thompson-Schill
- Department of Psychology, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA. .,Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA. .,Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, USA. .,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. .,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| |
Collapse
|
28
|
Cornblath EJ, Lydon-Staley DM, Bassett DS. Harnessing networks and machine learning in neuropsychiatric care. Curr Opin Neurobiol 2019; 55:32-39. [PMID: 30641443 PMCID: PMC6839408 DOI: 10.1016/j.conb.2018.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 12/10/2018] [Accepted: 12/19/2018] [Indexed: 12/27/2022]
Abstract
The development of next-generation therapies for neuropsychiatric illness will likely rely on a precise and accurate understanding of human brain dynamics. Toward this end, researchers have focused on collecting large quantities of neuroimaging data. For simplicity, we will refer to large cross-sectional neuroimaging studies as broad studies and to intensive longitudinal studies as deep studies. Recent progress in identifying illness subtypes and predicting treatment response in neuropsychiatry has been supported by these study designs, along with methods bridging machine learning and network science. Such methods combine analytic power, interpretability, and direct connection to underlying theory in cognitive neuroscience. Ultimately, we propose a general framework for the treatment of neuropsychiatric illness relying on the findings from broad and deep studies combined with basic cognitive and physiologic measurements.
Collapse
Affiliation(s)
- Eli J Cornblath
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David M Lydon-Staley
- Department of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Physics & Astronomy, School of Arts & Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Electrical & Systems Engineering, School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| |
Collapse
|
29
|
Abstract
Emotion network density describes the degree of interdependence among emotion states across time. Higher density is theorized to reflect rigidity in emotion functioning and has been associated with depression in adult samples. This paper extended research on emotion networks to adolescents and examined associations between emotion network density and: 1) emotion regulation and 2) symptoms of depression. Data from a daily diary study (t = 21 days) of adolescents (N = 151; 61.59% female; mean age = 14.60 years) were used to construct emotion network density scores. Emotion regulation was measured using The Difficulties in Emotion Regulation Scale Short Form (DERS-SF). Depression was measured using the Revised Child Anxiety and Depression Scale-Short Version (RCADS-SV). Associations between emotion network density and DERS-SF were examined through Pearson correlations. Multiple regression analyses examined associations between emotion network density and depression. Emotion network density was not associated with the DERS-SF. Follow-up analyses showed that it was positively associated with non-acceptance of emotions (a subscale of the DERS-SF). Emotion network density was positively associated with RCADS-SV depression. Non-acceptance of emotions may encourage the spread of emotion across time and states given that a feature of non-acceptance is to have secondary emotional responses to one's emotions. Emotion networks that are self-predictive may be a risk factor for adolescent depression.
Collapse
Affiliation(s)
- D M Lydon-Staley
- Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA.
- Department of Bioengineering, University of Pennsylvania, 311 Hayden Hall, Philadelphia, PA, 19104, USA.
| | - M Xia
- Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA
| | - H W Mak
- Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA
| | - G M Fosco
- Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA
| |
Collapse
|
30
|
Lydon-Staley DM, Ciric R, Satterthwaite TD, Bassett DS. Evaluation of confound regression strategies for the mitigation of micromovement artifact in studies of dynamic resting-state functional connectivity and multilayer network modularity. Netw Neurosci 2019; 3:427-454. [PMID: 30793090 PMCID: PMC6370491 DOI: 10.1162/netn_a_00071] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 09/19/2018] [Indexed: 01/13/2023] Open
Abstract
Dynamic functional connectivity reflects the spatiotemporal organization of spontaneous brain activity in health and disease. Dynamic functional connectivity may be susceptible to artifacts induced by participant motion. This report provides a systematic evaluation of 12 commonly used participant-level confound regression strategies designed to mitigate the effects of micromovements in a sample of 393 youths (ages 8-22 years). Each strategy was evaluated according to a number of benchmarks, including (a) the residual association between participant motion and edge dispersion, (b) distance-dependent effects of motion on edge dispersion, (c) the degree to which functional subnetworks could be identified by multilayer modularity maximization, and (d) measures of module reconfiguration, including node flexibility and node promiscuity. Results indicate variability in the effectiveness of the evaluated pipelines across benchmarks. Methods that included global signal regression were the most consistently effective de-noising strategies.
Collapse
Affiliation(s)
| | - Rastko Ciric
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Theodore D. Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S. Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
31
|
Yang X, Ram N, Gest SD, Lydon-Staley DM, Conroy DE, Pincus AL, Molenaar PC. Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach. Complexity 2018; 2018:5094179. [PMID: 30613129 PMCID: PMC6319954 DOI: 10.1155/2018/5094179] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Socioemotional processes engaged in daily life may afford and/or constrain individuals' emotion regulation in ways that affect psychological health. Recent findings from experience sampling studies suggest that persistence of negative emotions (emotion inertia), the strength of relations among an individual's negative emotions (density of the emotion network), and cycles of negative/aggressive interpersonal transactions are related to psychological health. Using multiple bursts of intensive experience sampling data obtained from 150 persons over one year, person-specific analysis, and impulse response analysis, this study quantifies the complex and interconnected socioemotional processes that surround individuals' daily social interactions and on-going regulation of negative emotion in terms of recovery time. We also examine how this measure of regulatory inefficiency is related to interindividual differences and intraindividual change in level of depressive symptoms. Individuals with longer recovery times had higher overall level of depressive symptoms. As well, during periods where recovery time of sadness was longer than usual, individuals' depressive symptoms were also higher than usual, particularly among individuals who experienced higher overall level of stressful life events. The findings and analysis highlight the utility of a person-specific network approach to study emotion regulation, how regulatory processes change over time, and potentially how planned changes in the configuration of individuals' systems may contribute to psychological health.
Collapse
Affiliation(s)
| | - Nilam Ram
- Pennsylvania State University
- German Institute for Economic Research (DIW), Berlin
| | | | | | | | | | | |
Collapse
|
32
|
Yang X, Ram N, Gest SD, Lydon-Staley DM, Conroy DE, Pincus AL, Molenaar PCM. SOCIOEMOTIONAL DYNAMICS OF EMOTION REGULATION AND DEPRESSIVE SYMPTOMS: A PERSON-SPECIFIC NETWORK APPROACH. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- X Yang
- Pennsylvania State University, University Park, Pennsylvania, United States
| | - N Ram
- Pennsylvania State University, University Park, PA, USA
| | - S D Gest
- Pennsylvania State University, University Park, PA, USA
| | | | - D E Conroy
- Pennsylvania State University, University Park, PA, USA
| | - A L Pincus
- Pennsylvania State University, University Park, PA, USA
| | | |
Collapse
|
33
|
White R, Gatzke-Kopp LM, Ryan PJ, Lydon-Staley DM. The association between perinatal hypoxia exposure and externalizing symptoms and children's decision making in conditions of uncertainty is moderated by DRD2 genotype. Dev Psychobiol 2018; 61:56-68. [PMID: 30264459 DOI: 10.1002/dev.21785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 08/14/2018] [Accepted: 08/26/2018] [Indexed: 11/10/2022]
Abstract
Variants of the DRD2 Taq1A polymorphism, which have been shown to result in functional differences in dopamine D2 receptors (D2R), have been linked to various externalizing outcomes in adults. However, the neurobiological processes that contribute to these associations are not well understood. The current study investigates gene × environment effects on teacher-rated externalizing behaviors and probabilistic decision making in a sample of 333 children (age 9) enrolled in an ongoing longitudinal study. Findings indicate that externalizing behaviors increased as a function of hypoxic exposure only among individuals carrying the A1 (A1+) allele. Results also indicate that willingness to pursue reward under conditions of maximum uncertainty (50% probability) decreased as a function of hypoxic exposure only among A1- individuals. Among A1 carriers, no association between probability decision making and hypoxic exposure emerged. These findings suggest that hypoxia could influence neural development through different biological pathways depending on D2 receptor genotype, and provide insight into the development of individual differences in behavior and decision making.
Collapse
Affiliation(s)
- Roisin White
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania
| | - Lisa M Gatzke-Kopp
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania
| | - Patrick J Ryan
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania
| | - David M Lydon-Staley
- Department of Bioengineering, The University of Pennsylvania, University Park, Pennsylvania
| |
Collapse
|
34
|
Lydon-Staley DM, Bassett DS. The Promise and Challenges of Intensive Longitudinal Designs for Imbalance Models of Adolescent Substance Use. Front Psychol 2018; 9:1576. [PMID: 30210404 PMCID: PMC6121035 DOI: 10.3389/fpsyg.2018.01576] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Accepted: 08/07/2018] [Indexed: 11/13/2022] Open
Abstract
Imbalance models of adolescent brain development attribute the increasing engagement in substance use during adolescence to within-person changes in the functional balance between the neural systems underlying socio-emotional, incentive processing, and cognitive control. However, the experimental designs and analytic techniques used to date do not lend themselves to explicit tests of how within-person change and within-person variability in socio-emotional processing and cognitive control place individual adolescents at risk for substance use. For a more complete articulation and a more stringent test of these models, we highlight the promise and challenges of using intensive longitudinal designs and analysis techniques that encompass many (often >10) within-person measurement occasions. Use of intensive longitudinal designs will lend researchers the tools required to make within-person inferences in individual adolescents that will ultimately align imbalance models of adolescent substance use with the methodological frameworks used to test them.
Collapse
Affiliation(s)
- David M. Lydon-Staley
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
| | - Danielle S. Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, United States
| |
Collapse
|
35
|
Lydon-Staley DM, Geier CF. Age-Varying Associations Between Cigarette Smoking, Sensation Seeking, and Impulse Control Through Adolescence and Young Adulthood. J Res Adolesc 2018; 28:354-367. [PMID: 28891119 PMCID: PMC5845819 DOI: 10.1111/jora.12335] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Sensation seeking (SS) and impulse control (IC) are constructs at the core of dual systems models of adolescent risk taking. Using data from the National Longitudinal Study of Adolescent to Adult Health, age-varying associations between SS and IC (predictors) and both any smoking in the previous 30 days and daily smoking (outcomes) were examined. The association between SS and both any smoking in the previous 30 days and daily smoking was strongest during adolescence. IC was consistently associated with any smoking in the previous 30 days and daily smoking, with the strongest association emerging during the mid-20s to early 30s. The results provide a nuanced perspective on when the components of dual systems models may be most related to smoking.
Collapse
Affiliation(s)
- David M. Lydon-Staley
- Corresponding author: Department of Human Development and Family Studies, College of Health and Human Development, The Pennsylvania State University, 119 Health and Human Development, University Park, PA 16802. . Phone: 814-867-6472
| | | |
Collapse
|
36
|
Lydon-Staley DM, Ram N, Brose A, Schmiedek F. Reduced impact of alcohol use on next-day tiredness in older relative to younger adults: A role for sleep duration. Psychol Aging 2017; 32:642-653. [PMID: 29022725 DOI: 10.1037/pag0000198] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Recent work has suggested that older adults may be less susceptible to the next-day effects of alcohol relative to younger adults. The effects of alcohol in younger adults may be mediated by sleep duration, but due to age differences in the contexts of alcohol use, this mediation process may not generalize to older adults. The present study examined age-group (younger vs. older adults) differences in how alcohol use influenced next-day tiredness during daily life. Reports of alcohol use, sleep duration, and next-day tiredness obtained on ∼101 days from 91 younger adults (ages 20-31 years) and 75 older adults (ages 65-80 years) were modeled using a multilevel, moderated mediation framework. Findings indicated that (a) greater-than-usual alcohol use was associated with greater-than-usual tiredness in younger adults only, (b) greater-than-usual alcohol use was associated with shorter-than-usual sleep duration in younger adults only, and (c) shorter-than-usual sleep duration was associated with greater tiredness in both younger and older adults. For the prototypical younger adult, a significant portion (43%) of the association between alcohol use and next-day tiredness could be explained assuming mediation through sleep duration, whereas there was no evidence of mediation for the prototypical older adult. Findings of age differences in the mediation process underlying associations among alcohol use, sleep, and tiredness provide insight into the mechanisms driving recent observations of reduced next-day effects of alcohol in older relative to younger adults. (PsycINFO Database Record
Collapse
Affiliation(s)
- David M Lydon-Staley
- Department of Human Development and Family Studies, The Pennsylvania State University
| | - Nilam Ram
- Department of Human Development and Family Studies, The Pennsylvania State University
| | | | - Florian Schmiedek
- Center for Life Span Psychology, Max Plank Institute for Human Development
| |
Collapse
|
37
|
Gatzke-Kopp LM, Ram N, Lydon-Staley DM, DuPuis D. Children's Sensitivity to Cost and Reward in Decision Making Across Distinct Domains of Probability, Effort, and Delay. J Behav Decis Mak 2017; 31:12-24. [PMID: 29353962 DOI: 10.1002/bdm.2038] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Many behavioral paradigms used to study individuals' decision making tendencies do not capture the decision components that contribute to behavioral outcomes, such as differentiating decisions driven toward a reward from decisions driven away from a cost. This study tested a novel decision making task in a sample of 403 children (age 9 years) enrolled in an ongoing longitudinal study. The task consisted of 3 blocks representing distinct cost domains (delay, probability, effort) wherein children were presented with a deck of cards, each of which consisted of a reward and a cost. Children elected whether to accept or skip the card at each trial. Reward-cost pairs were selected using an adaptive algorithm to strategically sample the decision space in the fewest number of trials. Using person-specific regression models, decision preferences were quantified for each cost domain with respect to general tolerance (intercept), as well as parameters estimating the effect of incremental increases in reward or cost on the probability of accepting a card. Results support the relative independence of decision making tendencies across cost domains, with moderate correlations observed between tolerance for delay and effort. Specific decision parameters showed unique associations with cognitive and behavioral measures including executive function, academic motivation, anxiety, and hyperactivity. Evidence indicates that sensitivity to reward is an important factor in incentivizing decisions to work harder or wait longer. Dissociating the relative contributions of reward and cost sensitivity in multiple domains may facilitate the identification of heterogeneity in sub-optimal decision making.
Collapse
Affiliation(s)
| | - Nilam Ram
- Human Development and Family Studies, Pennsylvania State University.,German Institute for Economic Research (DIW), Berlin
| | | | | |
Collapse
|
38
|
Lydon-Staley DM, Cleveland HH, Huhn AS, Cleveland MJ, Harris J, Stankoski D, Deneke E, Meyer RE, Bunce SC. Daily sleep quality affects drug craving, partially through indirect associations with positive affect, in patients in treatment for nonmedical use of prescription drugs. Addict Behav 2017; 65:275-282. [PMID: 27544697 DOI: 10.1016/j.addbeh.2016.08.026] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 07/28/2016] [Accepted: 08/13/2016] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Sleep disturbance has been identified as a risk factor for relapse in addiction to a range of substances. The relationship between sleep quality and treatment outcome has received relatively little attention in research on nonmedical use of prescription drugs (NMUPD). This study examined the within-person association between sleep quality and craving in medically detoxified patients in residence for the treatment of NMUPD. METHOD Participants (n=68) provided daily reports of their sleep quality, negative affect (NA), positive affect (PA), and craving for an average of 9.36 (SD=2.99) days. Within-person associations of sleep quality and craving were examined using multilevel modeling. Within-person mediation analyses were used to evaluate the mediating roles of NA and PA in the relationship between sleep quality and craving. RESULTS Greater cravings were observed on days of lower than usual sleep quality (γ10=-0.10, p=0.003). Thirty-one percent of the overall association between sleep quality and craving was explained by PA, such that poorer sleep quality was associated with lower PA and, in turn, lower PA was associated with greater craving. No evidence emerged for an indirect association between sleep quality and craving through NA. CONCLUSIONS Daily fluctuations in sleep quality were associated with fluctuations in craving, an association partially explained by the association between sleep quality and daily PA. These data encourage further research on the relationship between sleep, affect, and craving in NMUPD patients, as well as in patients with other substance use disorders.
Collapse
Affiliation(s)
- David M Lydon-Staley
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States.
| | - H Harrington Cleveland
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States
| | - Andrew S Huhn
- Department of Psychiatry, The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - Michael J Cleveland
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States
| | - Jonathan Harris
- Department of Psychiatry, The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - Dean Stankoski
- Department of Psychiatry, The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - Erin Deneke
- Caron Treatment Centers, Wernersville, PA, United States
| | - Roger E Meyer
- Department of Psychiatry, The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - Scott C Bunce
- Department of Psychiatry, The Pennsylvania State University College of Medicine, Hershey, PA, United States
| |
Collapse
|