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Neocortical Age and Fluid Ability: Greater Accelerated Brain Aging for Thickness, but Smaller for Surface Area, in High Cognitive Ability Individuals. Neuroscience 2021; 467:81-90. [PMID: 34077771 DOI: 10.1016/j.neuroscience.2021.05.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 12/28/2022]
Abstract
Biological (BA) and chronological (CA) age may or may not fit. The available evidence reveals remarkable individual differences in the overlap/mismatch between BA and CA. Increased mismatch can be interpreted as delayed (BA/CA < 1) or accelerated biological aging (BA/CA > 1). Body and brain health are correlated and both predict aging outcomes associated with physical and mental fitness. Moreover, research has shown that older brain age at midlife correlates negatively with cognitive ability measured in early childhood, which suggests early life predisposition to accelerated aging in adulthood. Under this framework, here we test if increased cognitive ability is associated with delayed brain aging, analyzing structural MRI data of 188 individuals, sixty of whom were recruited from MENSA, an association comprising individuals who obtained cognitive ability scores in the top 2 percent of the population. These high ability individuals (HCA) showed an average advantage of 33 IQ points, on a fluid reasoning test they completed for this research, over those other recruited because of their average cognitive ability (ACA). Next, brain age was computed at the individual level for two distinguishable neocortical features (thickness and surface area) according to models trained in an independent large-scale sample of 2377 individuals. Results revealed a stronger pattern of accelerated brain aging in HCA compared to ACA individuals for thickness, while the opposite pattern was suggested for surface area. The findings align well with the greater relevance of individual differences in cortical surface area for enhancing our understanding of cognitive differences at the brain level.
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Jiang L, Qiao K, Li C. Distance-based functional criticality in the human brain: intelligence and emotional intelligence. BMC Bioinformatics 2021; 22:32. [PMID: 33499802 PMCID: PMC7836498 DOI: 10.1186/s12859-021-03973-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 01/18/2021] [Indexed: 12/28/2022] Open
Abstract
Background Anatomical distance has been identified as a key factor in the organizational principles of the human brain. On the other hand, criticality was proposed to accommodate the multiscale properties of human brain dynamics, and functional criticality based on resting-state functional magnetic resonance imaging (rfMRI) is a sensitive neuroimaging marker for human brain dynamics. Hence, to explore the effects of anatomical distance of the human brain on behaviors in terms of functional criticality, we proposed a revised algorithm of functional criticality called the distance-based vertex-wise index of functional criticality, and assessed this algorithm compared with the original neighborhood-based functional criticality. Results We recruited two groups of healthy participants, including young adults and middle-aged participants, for a total of 60 datasets including rfMRI and intelligence as well as emotional intelligence to study how human brain functional criticalities at different spatial scales contribute to individual behaviors. Furthermore, we defined the average distance between the particular behavioral map and vertices with significant functional connectivity as connectivity distance. Our results demonstrated that intelligence and emotional intelligence mapped to different brain regions at different ages. Additionally, intelligence was related to a wider distance range compared to emotional intelligence. Conclusions For different age groups, our findings not only provided a linkage between intelligence/emotional intelligence and functional criticality but also quantitatively characterized individual behaviors in terms of anatomical distance.
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Affiliation(s)
- Lili Jiang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China. .,Lifespan Connectomics and Behavior Team, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. .,Department of Psychology, University of Chinese Academy of Sciences, Shijingshan, Beijing, China. .,Institute of Psychology, Chinese Academy of Sciences, No. 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
| | - Kaini Qiao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Lifespan Connectomics and Behavior Team, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Shijingshan, Beijing, China
| | - Chunlin Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Lifespan Connectomics and Behavior Team, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Shijingshan, Beijing, China
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Estrada E, Hamagami F, Ferrer E. Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion. MULTIVARIATE BEHAVIORAL RESEARCH 2020; 55:454-477. [PMID: 31448970 DOI: 10.1080/00273171.2019.1647822] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score (LCS) models provide a powerful analytical framework to analyze data from ALDs. With developmental data, LCS models can be specified using measurement occasion as the time metric. This provides a number of benefits, but has an important limitation: It makes it not possible to characterize the longitudinal changes as a function of a developmental process such as age or biological maturation. To overcome this limitation, we propose an extension of an occasion-based LCS model that includes age differences at the first measurement occasion. We conducted a Monte Carlo study and compared the results of including different transformations of the age variable. Our results indicate that some of the proposed transformations resulted in accurate expectations for the studied process across all the ages in the study, and excellent model fit. We discuss these results and provide the R code for our analysis.
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Ferschmann L, Vijayakumar N, Grydeland H, Overbye K, Sederevicius D, Due-Tønnessen P, Fjell AM, Walhovd KB, Pfeifer JH, Tamnes CK. Prosocial behavior relates to the rate and timing of cortical thinning from adolescence to young adulthood. Dev Cogn Neurosci 2019; 40:100734. [PMID: 31739096 PMCID: PMC6974908 DOI: 10.1016/j.dcn.2019.100734] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 10/21/2019] [Accepted: 11/04/2019] [Indexed: 12/21/2022] Open
Abstract
Prosocial behavior, or voluntary actions that intentionally benefit others, relate to desirable developmental outcomes such as peer acceptance, while lack of prosocial behavior has been associated with several neurodevelopmental disorders. Mapping the biological foundations of prosociality may thus aid our understanding of both normal and abnormal development, yet how prosociality relates to cortical development is largely unknown. Here, relations between prosociality, as measured by the Strengths and Difficulties Questionnaire (self-report), and changes in thickness across the cortical mantle were examined using mixed-effects models. The sample consisted of 169 healthy individuals (92 females) aged 12-26 with repeated MRI from up to 3 time points, at approximately 3-year intervals (301 scans). In regions associated with social cognition and behavioral control, higher prosociality was associated with greater cortical thinning during early-to-middle adolescence, followed by attenuation of this process during the transition to young adulthood. Comparatively, lower prosociality was related to initially slower thinning, followed by comparatively protracted thinning into the mid-twenties. This study showed that prosocial behavior is associated with regional development of cortical thickness in adolescence and young adulthood. The results suggest that the rate of thinning in these regions, as well as its timing, may be factors related to prosocial behavior.
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Affiliation(s)
- Lia Ferschmann
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | | | - Håkon Grydeland
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | - Knut Overbye
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | - Donatas Sederevicius
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | - Paulina Due-Tønnessen
- Department of Radiology, Rikshospitalet, Oslo University Hospital, Department of Psychology, University of Oslo, Norway.
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.
| | | | - Christian K Tamnes
- PROMENTA Research Center, Department of Psychology, University of Oslo, Department of Psychiatry, Diakonhjemmet Hospital, NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
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Tian F, Chen Q, Zhu W, Wang Y, Yang W, Zhu X, Tian X, Zhang Q, Cao G, Qiu J. The association between visual creativity and cortical thickness in healthy adults. Neurosci Lett 2018; 683:104-110. [PMID: 29936269 DOI: 10.1016/j.neulet.2018.06.036] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Revised: 06/12/2018] [Accepted: 06/20/2018] [Indexed: 01/30/2023]
Abstract
Creativity is necessary to human survival, human prosperity, civilization and well-being. Visual creativity is an important part of creativity and is the ability to create products of novel and useful visual forms, playing important role in many fields such as art, painting and sculpture. There have been several neuroimaging studies exploring the neural basis of visual creativity. However, to date, little is known about the relationship between cortical structure and visual creativity as measured by the Torrance Tests of Creative Thinking. Here, we investigated the association between cortical thickness and visual creativity in a large sample of 310 healthy adults. We used multiple regression to analyze the correlation between cortical thickness and visual creativity, adjusting for gender, age and general intelligence. The results showed that visual creativity was significantly negatively correlated with cortical thickness in the left middle frontal gyrus (MFG), right inferior frontal gyrus (IFG), right supplementary motor cortex (SMA) and the left insula. These observations have implications for understanding that a thinner prefrontal cortex (PFC) (e.g. IFG, MFG), SMA and insula correspond to higher visual creative performance, presumably due to their role in executive attention, cognitive control, motor planning and dynamic switching.
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Affiliation(s)
- Fang Tian
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Qunlin Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Wenfeng Zhu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yongming Wang
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Wenjing Yang
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Xingxing Zhu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Xue Tian
- Faculty of Psychology, Beijing Normal University, Beijing, 100190, China
| | - Qinglin Zhang
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Guikang Cao
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China.
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China.
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