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Morningstar M, Hughes C, French RC, Grannis C, Mattson WI, Nelson EE. Functional connectivity during facial and vocal emotion recognition: Preliminary evidence for dissociations in developmental change by nonverbal modality. Neuropsychologia 2024; 202:108946. [PMID: 38945440 DOI: 10.1016/j.neuropsychologia.2024.108946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/15/2024] [Accepted: 06/27/2024] [Indexed: 07/02/2024]
Abstract
The developmental trajectory of emotion recognition (ER) skills is thought to vary by nonverbal modality, with vocal ER becoming mature later than facial ER. To investigate potential neural mechanisms contributing to this dissociation at a behavioural level, the current study examined whether youth's neural functional connectivity during vocal and facial ER tasks showed differential developmental change across time. Youth ages 8-19 (n = 41) completed facial and vocal ER tasks while undergoing functional magnetic resonance imaging, at two timepoints (1 year apart; n = 36 for behavioural data, n = 28 for neural data). Partial least squares analyses revealed that functional connectivity during ER is both distinguishable by modality (with different patterns of connectivity for facial vs. vocal ER) and across time-with changes in connectivity being particularly pronounced for vocal ER. ER accuracy was greater for faces than voices, and positively associated with age; although task performance did not change appreciably across a 1-year period, changes in latent functional connectivity patterns across time predicted participants' ER accuracy at Time 2. Taken together, these results suggest that vocal and facial ER are supported by distinguishable neural correlates that may undergo different developmental trajectories. Our findings are also preliminary evidence that changes in network integration may support the development of ER skills in childhood and adolescence.
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Affiliation(s)
- M Morningstar
- Department of Psychology, Queen's University, Canada; Centre for Neuroscience Studies, Queen's University, Canada.
| | - C Hughes
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Canada
| | - R C French
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA; Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA
| | - C Grannis
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA
| | - W I Mattson
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA
| | - E E Nelson
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA; Department of Pediatrics, Ohio State University Wexner College of Medicine, Columbus, OH, USA
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2
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Nowling D, Crum KI, Joseph J. Sex differences in development of functional connections in the face processing network. J Neuroimaging 2024; 34:280-290. [PMID: 38169075 PMCID: PMC10939922 DOI: 10.1111/jon.13185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND AND PURPOSE Understanding sex differences in typical development of the face processing network is important for elucidating disruptions during atypical development in sex-linked developmental disorders like autism spectrum disorder. Based on prior sex difference studies in other cognitive domains, this study examined whether females show increased integration of core and extended face regions with age for face viewing, while males would show increased segregation. METHODS This study used a cross-sectional design with typically developing children and adults (n = 133) and a functional MRI face localizer task. Psychophysiological interaction (PPI) analysis examined functional connectivity between canonical and extended face processing network regions with age, with greater segregation indexed by decreased core-extended region connectivity with age and greater integration indexed by increased core-extended region connectivity with age. RESULTS PPI analysis confirmed increased segregation for males-right fusiform face area (FFA) coupling to right inferior frontal gyrus (IFG) opercular when viewing faces and left amygdala when viewing objects decreased with age. Females showed increased integration with age (increased coupling of the right FFA to right IFG opercular region and right occipital face area [OFA] to right IFG orbital when viewing faces and objects, respectively) and increased segregation (decreased coupling with age of the right OFA with IFG opercular region when viewing faces). CONCLUSIONS Development of core and extended face processing network connectivity follows sexually dimorphic paths. These differential changes mostly occur across childhood and adolescence, with males experiencing segregation and females both segregation and integration changes in connectivity.
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Affiliation(s)
- Duncan Nowling
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC
| | - Kathleen I. Crum
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Jane Joseph
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC
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3
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A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship. Cogn Neurodyn 2023. [DOI: 10.1007/s11571-023-09941-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023] Open
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4
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Yuan R, Nechvatal JM, Buckmaster CL, Ayash S, Parker KJ, Schatzberg AF, Lyons DM, Menon V. Long-term effects of intermittent early life stress on primate prefrontal-subcortical functional connectivity. Neuropsychopharmacology 2021; 46:1348-1356. [PMID: 33495547 PMCID: PMC8134590 DOI: 10.1038/s41386-021-00956-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 11/12/2020] [Accepted: 12/29/2020] [Indexed: 01/30/2023]
Abstract
Correlational studies of humans suggest that exposure to early life stress has long-term effects on neural circuits involved in vulnerability and resilience to mental health disorders. Stress-related mental health disorders are more prevalent in women than in men. Here, female squirrel monkeys are randomized to intermittently stressful (IS) social separations or a non-separated (NS) control condition conducted from 17 to 27 weeks of age. Nine years later in mid-life adulthood, resting-state functional magnetic resonance imaging was employed to parcellate prefrontal cortex (PFC). Resulting subdivisions were then used to characterize functional connectivity within PFC, and between PFC subdivisions and subcortical regions that are known to be altered by stress. Extensive hyper-connectivity of medial and orbitofrontal PFC with amygdala, hippocampus, and striatum was observed in IS compared to NS monkeys. Functional hyper-connectivity in IS monkeys was associated with previously reported indications of diminished anxiety-like behavior induced by prepubertal stress. Hyper-connectivity of PFC with amygdala and with hippocampus was also associated with increased ventral striatal dopamine D2 and/or D3 receptor (DRD2/3) availability assessed with positron emission tomography (PET) of [11C]raclopride binding in adulthood. Ventral striatal DRD2/3 availability has been linked to cognitive control, which plays a key role in stress coping as an aspect of emotion regulation. These findings provide causal support for enduring neurobiological effects of early life stress and suggest novel targets for new treatments of stress-related mental health disorders.
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Affiliation(s)
- Rui Yuan
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford, USA
| | - Jordan M. Nechvatal
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford, USA ,grid.240952.80000000087342732Department of Neurology and Neurological Sciences, Stanford, USA
| | - Christine L. Buckmaster
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford, USA
| | - Sarah Ayash
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford, USA ,grid.410607.4Translational Psychiatry, Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, Hanns-Dieter-Huesch Weg 19, 55128 Mainz, Germany ,grid.509458.50000 0004 8087 0005Leibniz Institute for Resilience Research, Hanns-Dieter-Huesch Weg 19, 55128 Mainz, Germany
| | - Karen J. Parker
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford, USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Alan F. Schatzberg
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford, USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - David M. Lyons
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford, USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford, USA. .,Department of Neurology and Neurological Sciences, Stanford, USA. .,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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5
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Sharp TH, McBride NS, Howell AE, Evans CJ, Jones DK, Perry G, Dimitriadis SI, Lancaster TM, Zuccolo L, Relton C, Matthews SM, Breeze T, David AS, Drakesmith M, Linden DEJ, Paus T, Walton E. Population neuroimaging: generation of a comprehensive data resource within the ALSPAC pregnancy and birth cohort. Wellcome Open Res 2020; 5:203. [PMID: 33043145 PMCID: PMC7531050 DOI: 10.12688/wellcomeopenres.16060.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2020] [Indexed: 11/20/2022] Open
Abstract
Neuroimaging offers a valuable insight into human brain development by allowing in vivo assessment of structure, connectivity and function. Multimodal neuroimaging data have been obtained as part of three sub-studies within the Avon Longitudinal Study of Parents and Children, a prospective multigenerational pregnancy and birth cohort based in the United Kingdom. Brain imaging data were acquired when offspring were between 18 and 24 years of age, and included acquisition of structural, functional and magnetization transfer magnetic resonance, diffusion tensor, and magnetoencephalography imaging. This resource provides a unique opportunity to combine neuroimaging data with extensive phenotypic and genotypic measures from participants, their mothers, and fathers.
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Affiliation(s)
- Tamsin H Sharp
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, UK
| | - Nancy S McBride
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, UK
| | - Amy E Howell
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, UK
| | - C John Evans
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Gavin Perry
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Stavros I Dimitriadis
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Thomas M Lancaster
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Luisa Zuccolo
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, UK
| | - Sarah M Matthews
- ALSPAC, Population Health Sciences, Bristol Medical School, University of Bristol, University of Bristol, Bristol, BS8 2BN, UK
| | - Thomas Breeze
- ALSPAC, Population Health Sciences, Bristol Medical School, University of Bristol, University of Bristol, Bristol, BS8 2BN, UK
| | - Anthony S David
- Institute of Mental Health, University College London Medical School, London, W1T 7NF, UK
| | - Mark Drakesmith
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Ontario, M4G 1R8, Canada
| | - Esther Walton
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, UK.,Department of Psychology, University of Bath, Bath, BA2 7AY, UK
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6
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Luo L, Zhang Q, Wang J, Lin Q, Zhao B, Xu M, Langley C, Li H, Gao S. The baby schema effect in adolescence and its difference from that in adulthood. J Exp Child Psychol 2020; 198:104908. [PMID: 32600740 DOI: 10.1016/j.jecp.2020.104908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 05/12/2020] [Accepted: 05/13/2020] [Indexed: 01/10/2023]
Abstract
The baby schema effect induced by particular features of baby faces acts as an innate releasing mechanism that evokes positive emotions and instinctual behavioral responses. Our prior research in adults has revealed that this effect initially found in infancy extends into child faces. Adolescence is an important period involving development in various aspects of cognition, including face perception. Here, we investigated whether the extended baby schema effect we previously found in adult observers develops earlier-in adolescence-and how different it appears in adolescents as compared with in adults. In the current study, 76 adolescents and 77 adults were asked to judge the likeability of 148 neutral faces of infants and children (0.08-6.5 years of age) on 7-point scales. Results showed that both adolescents and adults perceived the faces of both infants and children younger than 4.6 years as more likeable relative to those of older children, indicating that the baby schema effect previously found in adulthood also occurs in adolescence. However, adolescents rated lower than adults toward the infant and child faces across all face ages, suggesting that this effect might be under development in adolescence. Overall, our findings provide new evidence for the development of face perception in adolescence and demonstrate age-related changes in innate releasing mechanisms in our protective and caretaking responses toward infants and children.
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Affiliation(s)
- Lizhu Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Qiang Zhang
- Department of Obstetrics and Gynecology, Chengdu Women's and Children's Central Hospital, Chengdu 610091, People's Republic of China
| | - Jiaojian Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Qiyuan Lin
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Bingmei Zhao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Min Xu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China
| | - Christelle Langley
- Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Hong Li
- Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610068, People's Republic of China.
| | - Shan Gao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China; School of Foreign Languages, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.
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7
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Inhibiting saccades to a social stimulus: a developmental study. Sci Rep 2020; 10:4615. [PMID: 32165671 PMCID: PMC7067843 DOI: 10.1038/s41598-020-61188-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 02/07/2020] [Indexed: 11/08/2022] Open
Abstract
Faces are an important source of social signal throughout the lifespan. In adults, they have a prioritized access to the orienting system. Here we investigate when this effect emerges during development. We tested 139 children, early adolescents, adolescents and adults in a mixed pro- and anti-saccades task with faces, cars or noise patterns as visual targets. We observed an improvement in performance until about 15 years of age, replicating studies that used only meaningless stimuli as targets. Also, as previously reported, we observed that adults made more direction errors to faces than abstract patterns and cars. The children showed this effect too with regards to noise patterns but it was not specific since performance for cars and faces did not differ. The adolescents, in contrast, made more errors for faces than for cars but as many errors for noise patterns and faces. In all groups latencies for pro-saccades were faster towards faces. We discuss these findings with regards to the development of executive control in childhood and adolescence and the influence of social stimuli at different ages.
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8
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Yun JY, Kim YK. Phenotype Network and Brain Structural Covariance Network of Anxiety. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1191:21-34. [PMID: 32002920 DOI: 10.1007/978-981-32-9705-0_2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Network-based approach for psychological phenotypes assumes the dynamical interactions among the psychiatric symptoms, psychological characteristics, and neurocognitive performances arise, as they coexist, propagate, and inhibit other components within the network of mental phenomena. For differential types of dataset from which the phenotype network is to be estimated, a Gaussian graphical model, an Ising model, a directed acyclic graph, or an intraindividual covariance network could be used. Accordingly, these network-based approaches for anxiety-related psychological phenomena have been helpful in quantitative and pictorial understanding of qualitative dynamics among the diverse psychological phenomena as well as mind-environment interactions. Brain structural covariance refers to the correlative patterns of diverse brain morphological features among differential brain regions comprising the brain, as calculated per participant or across the participants. These covarying patterns of brain morphology partly overlap with longitudinal patterns of brain cortical maturation and also with propagating pattern of brain morphological changes such as cortical thinning and brain volume reduction in patients diagnosed with neurologic or psychiatric disorders along the trajectory of disease progression. Previous studies that used the brain structural covariance network could show neural correlates of specific anxiety disorder such as panic disorder and also elucidate the neural underpinning of anxiety symptom severity in diverse psychiatric and neurologic disorder patients.
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Affiliation(s)
- Je-Yeon Yun
- Seoul National University Hospital, Seoul, South Korea. .,Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, South Korea.
| | - Yong-Ku Kim
- Department of Psychiatry, College of Medicine, Korea University, Seoul, South Korea
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9
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Zhao X, Yao LI, Chen K, Li KE, Zhang J, Guo X. Changes in the Functional and Structural Default Mode Network across the Adult Lifespan Based on Partial Least Squares. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2019; 7:82256-82265. [PMID: 33224696 PMCID: PMC7677917 DOI: 10.1109/access.2019.2923274] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The default mode network (DMN) has been extensively investigated in the literature. However, previous studies have mainly focused on age-related changes in the DMN between old and young participants. Age-dependent changes in specific regions within the DMN have not been adequately explored across the entire adult lifespan. Thus, in the present study, we performed a seed partial least squares (PLS) analysis to investigate lifespan-wide changes in the regions of the functional and structural DMNs using resting-state functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (MRI) data from healthy subjects aged 16-85 years. The posterior cingulate area was selected as the seed region based on prior fMRI studies. The single-group functional connectivity analysis showed a stable connection between the seed and the posterior cingulate cortex (PCC), middle temporal gyrus (MTG) and inferior temporal gyrus (ITG); a decreased connection between the seed and the medial prefrontal cortex (MPFC), anterior cingulate cortex (ACC) and superior frontal gyrus (SFG); and an increased connection between the seed and the precuneus (PreC), inferior parietal lobule (IPL) and middle frontal gyrus (MFG) across the entire lifespan. In contrast, in the single-group structural covariance analysis, the covariance connections of the seed to the DMN regions demonstrated a stable covariance trend to the PCC, MTG, superior temporal gyrus (STG) and ITG; an inverted U-shaped covariance trend to the MPFC, ACC, SFG, MFG and inferior frontal gyrus (IFG); and a U-shaped covariance trend to the PreC with age. Full-group analyses found significant linear decreases in functional and structural DMN integrity. Our findings provide crucial information regarding the influence of age on the function and structure of the DMN and may contribute to the understanding of the underlying mechanism of age-related changes in the DMN over the lifespan.
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Affiliation(s)
- Xiaoyu Zhao
- College of Information Science and Technology, Beijing Normal University, Beijing, China
- College of Information Engineering, Ordos Institute of Technology, Ordos, China
| | - L I Yao
- College of Information Science and Technology, Beijing Normal University, Beijing, China
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
- Shanghai Green Valley Pharmaceutical Co Ltd, Shanghai, China
| | - K E Li
- Laboratory of Magnetic Resonance Imaging, Beijing 306 Hospital, Beijing, China
| | - Jiacai Zhang
- College of Information Science and Technology, Beijing Normal University, Beijing, China
- Beijing Advanced Innovation Center for Future Education, Beijing Normal University, Beijing, China
| | - Xiaojuan Guo
- College of Information Science and Technology, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
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10
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Marstaller L, Burianová H, Reutens DC. Individual differences in structural and functional connectivity predict speed of emotion discrimination. Cortex 2016; 85:65-74. [DOI: 10.1016/j.cortex.2016.10.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 07/12/2016] [Accepted: 10/06/2016] [Indexed: 01/13/2023]
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11
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Jiang Y, Liu W, Ming Q, Gao Y, Ma R, Zhang X, Situ W, Wang X, Yao S, Huang B. Disrupted Topological Patterns of Large-Scale Network in Conduct Disorder. Sci Rep 2016; 6:37053. [PMID: 27841320 PMCID: PMC5107936 DOI: 10.1038/srep37053] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Accepted: 10/24/2016] [Indexed: 01/10/2023] Open
Abstract
Regional abnormalities in brain structure and function, as well as disrupted connectivity, have been found repeatedly in adolescents with conduct disorder (CD). Yet, the large-scale brain topology associated with CD is not well characterized, and little is known about the systematic neural mechanisms of CD. We employed graphic theory to investigate systematically the structural connectivity derived from cortical thickness correlation in a group of patients with CD (N = 43) and healthy controls (HCs, N = 73). Nonparametric permutation tests were applied for between-group comparisons of graphical metrics. Compared with HCs, network measures including global/local efficiency and modularity all pointed to hypo-functioning in CD, despite of preserved small-world organization in both groups. The hubs distribution is only partially overlapped with each other. These results indicate that CD is accompanied by both impaired integration and segregation patterns of brain networks, and the distribution of highly connected neural network 'hubs' is also distinct between groups. Such misconfiguration extends our understanding regarding how structural neural network disruptions may underlie behavioral disturbances in adolescents with CD, and potentially, implicates an aberrant cytoarchitectonic profiles in the brain of CD patients.
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Affiliation(s)
- Yali Jiang
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Weixiang Liu
- School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, Guangdong, People’s Republic of China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, Guangdong, People’s Republic of China
| | - Qingsen Ming
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Yidian Gao
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Ren Ma
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Xiaocui Zhang
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Weijun Situ
- Department of Radiology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Xiang Wang
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- National Technology Institute of Psychiatry, Central South University, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, People’s Republic of China
| | - Shuqiao Yao
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- National Technology Institute of Psychiatry, Central South University, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, People’s Republic of China
| | - Bingsheng Huang
- Medical Psychological Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, Guangdong, People’s Republic of China
- Shenzhen Institute of Research and Innovation, University of Hong Kong, Shenzhen, Guangdong, People’s Republic of China
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12
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The contributions of resting state and task-based functional connectivity studies to our understanding of adolescent brain network maturation. Neurosci Biobehav Rev 2016; 70:13-32. [DOI: 10.1016/j.neubiorev.2016.07.027] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 07/21/2016] [Accepted: 07/24/2016] [Indexed: 12/18/2022]
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13
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Mišić B, Betzel RF, de Reus MA, van den Heuvel MP, Berman MG, McIntosh AR, Sporns O. Network-Level Structure-Function Relationships in Human Neocortex. Cereb Cortex 2016; 26:3285-96. [PMID: 27102654 PMCID: PMC4898678 DOI: 10.1093/cercor/bhw089] [Citation(s) in RCA: 181] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
The dynamics of spontaneous fluctuations in neural activity are shaped by underlying patterns of anatomical connectivity. While numerous studies have demonstrated edge-wise correspondence between structural and functional connections, much less is known about how large-scale coherent functional network patterns emerge from the topology of structural networks. In the present study, we deploy a multivariate statistical technique, partial least squares, to investigate the association between spatially extended structural networks and functional networks. We find multiple statistically robust patterns, reflecting reliable combinations of structural and functional subnetworks that are optimally associated with one another. Importantly, these patterns generally do not show a one-to-one correspondence between structural and functional edges, but are instead distributed and heterogeneous, with many functional relationships arising from nonoverlapping sets of anatomical connections. We also find that structural connections between high-degree hubs are disproportionately represented, suggesting that these connections are particularly important in establishing coherent functional networks. Altogether, these results demonstrate that the network organization of the cerebral cortex supports the emergence of diverse functional network configurations that often diverge from the underlying anatomical substrate.
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Affiliation(s)
- Bratislav Mišić
- McConnel Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montréal, QC, H3A 2B4, Canada Department of Psychological and Brain Sciences
| | - Richard F Betzel
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Marcel A de Reus
- Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, 3508 GA, The Netherlands
| | | | - Marc G Berman
- Department of Psychology, University of Chicago, Chicago, IL, 60637, USA
| | - Anthony R McIntosh
- Rotman Research Institute, Baycrest Centre, Toronto, ON, M6A 2E1, Canada
| | - Olaf Sporns
- Department of Psychological and Brain Sciences Indiana University Network Science Institute, Indiana University, Bloomington, IN, 47405, USA
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