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Häkkinen S, Voorhies WI, Willbrand EH, Tsai YH, Gagnant T, Yao JK, Weiner KS, Bunge SA. Anchoring functional connectivity to individual sulcal morphology yields insights in a pediatric study of reasoning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2024.04.18.590165. [PMID: 38659961 PMCID: PMC11042283 DOI: 10.1101/2024.04.18.590165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
A salient neuroanatomical feature of the human brain is its pronounced cortical folding, and there is mounting evidence that sulcal morphology is relevant to functional brain architecture and cognition. However, our understanding of the relationships between sulcal anatomy, brain activity, and behavior is still in its infancy. We previously found the depth of three small, shallow sulci in lateral prefrontal cortex (LPFC) was linked to reasoning performance in childhood and adolescence (Voorhies et al., 2021). These findings beg the question: what is the linking mechanism between sulcal morphology and cognition? To shed light on this question, we investigated functional connectivity among sulci in LPFC and lateral parietal cortex (LPC). We leveraged manual parcellations (21 sulci/hemisphere, total of 1806) and functional magnetic resonance (fMRI) data from a reasoning task from 43 participants aged 7-18 years (20 female). We conducted clustering and classification analyses of individual-level functional connectivity among sulci. Broadly, we found that 1) the connectivity patterns of individual sulci could be differentiated - and more accurately than rotated sulcal labels equated for size and shape; 2) sulcal connectivity did not consistently correspond with that of probabilistic labels or large-scale networks; 3) sulci clustered together into groups with similar patterns, not dictated by spatial proximity; and 4) across individuals, greater depth was associated with higher network centrality for several sulci under investigation. These results highlight that functional connectivity can be meaningfully anchored to individual sulcal anatomy, and demonstrate that functional network centrality can vary as a function of sulcal depth.
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Affiliation(s)
- Suvi Häkkinen
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720 USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720 USA
| | - Willa I. Voorhies
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720 USA
| | - Ethan H. Willbrand
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720 USA
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, 53726 USA
| | - Yi-Heng Tsai
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720 USA
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599 USA
| | - Thomas Gagnant
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720 USA
- Medical Science Faculty, University of Bordeaux, Bordeaux, France
| | | | - Kevin S. Weiner
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720 USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720 USA
- Department of Neuroscience, University of California, Berkeley, Berkeley, CA, 94720 USA
| | - Silvia A. Bunge
- Department of Psychology, University of California, Berkeley, Berkeley, CA, 94720 USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720 USA
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Cohen S, Goldsmith DR, Ning CS, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Seidman LJ, Stone WS, Tsuang MT, Woods SW, Walker EF, Miller BJ. Sleep disturbance, suicidal ideation and psychosis-risk symptoms in individuals at clinical high risk for psychosis. Psychiatry Res 2024; 341:116147. [PMID: 39197223 DOI: 10.1016/j.psychres.2024.116147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 07/02/2024] [Accepted: 08/13/2024] [Indexed: 09/01/2024]
Abstract
Insomnia and suicidal ideation (SI) are common in schizophrenia, including in individuals at clinical high-risk for psychosis (CHR-P). Previous studies have found associations between sleep disturbance, SI, and psychopathology in schizophrenia. We explored these associations in a CHR-P cohort. We leveraged data from CHR-P individuals in the North American Prodrome Longitudinal Studies (NAPLS-3) (n = 688) cohort. We investigated relationships between sleep disturbance (Scale of Prodromal Symptoms [SOPS]; Calgary Depression Scale for Schizophrenia [CDSS], and the Pittsburgh Sleep Quality Index [PSQI]), suicidal ideation (CDSS), and psychosis-risk symptoms. The prevalence of terminal insomnia, sleep disturbance, and SI in NAPLS3 was 25 %, 69 %, and 29 %, respectively. After controlling for potential confounders, multiple indices of sleep disturbance (SOPS, PSQI: OR = 1.05-1.40) were significant indicators of concurrent SI. Terminal insomnia was not associated with conversion to psychosis. Multiple indices of sleep problems were associated with higher total and subscale psychosis-risk symptom scores (β = 0.09-0.39). Sleep problems are prevalent and associated with SI and more severe psychosis-risk symptoms in CHR-P individuals. These findings underscore the importance of designing longitudinal intervention studies to investigate whether the treatment of sleep disturbances may reduce suicidality and symptoms in this population.
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Affiliation(s)
- Simon Cohen
- Department of Psychiatry, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States
| | - David R Goldsmith
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Courtney S Ning
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, CA, United States
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Department of Psychology, Yale University, New Haven, CT, United States
| | - Barbara A Cornblatt
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States
| | - Daniel H Mathalon
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - William S Stone
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Brian J Miller
- Department of Psychiatry and Health Behavior, Augusta University, 997 Saint Sebastian Way, Augusta, GA 30912, United States.
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Xu X, Yang H, Cong J, Sydnor V, Cui Z. Structural connectivity matures along a sensorimotor-association connectional axis in youth. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.17.599267. [PMID: 38948845 PMCID: PMC11212872 DOI: 10.1101/2024.06.17.599267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Childhood and adolescence are associated with protracted developmental remodeling of cortico-cortical structural connectivity. However, how heterochronous development in white matter structural connectivity spatially and temporally unfolds across the macroscale human connectome remains unknown. Leveraging non-invasive diffusion MRI data from both cross-sectional (N = 590) and longitudinal (baseline: N = 3,949; two-year follow-up: N = 3,155) developmental datasets, we found that structural connectivity development diverges along a pre-defined sensorimotor-association (S-A) connectional axis from ages 8.1 to 21.9 years. Specifically, we observed a continuum of developmental profiles that spans from an early childhood increase in connectivity strength in sensorimotor-sensorimotor connections to a late adolescent increase in association-association connectional strength. The S-A connectional axis also captured spatial variations in associations between structural connectivity and both higher-order cognition and general psychopathology. Together, our findings reveal a hierarchical axis in the development of structural connectivity across the human connectome.
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Affiliation(s)
- Xiaoyu Xu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University; Beijing, 100875, China
- Chinese Institute for Brain Research, Beijing; Beijing, 102206, China
| | - Hang Yang
- Chinese Institute for Brain Research, Beijing; Beijing, 102206, China
| | - Jing Cong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University; Beijing, 100875, China
- Chinese Institute for Brain Research, Beijing; Beijing, 102206, China
| | - Valerie Sydnor
- Department of Psychiatry, University of Pittsburgh Medical Center; Pittsburgh, PA, USA
| | - Zaixu Cui
- Chinese Institute for Brain Research, Beijing; Beijing, 102206, China
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Li J, Zhang C, Meng Y, Yang S, Xia J, Chen H, Liao W. Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance. PLoS Biol 2024; 22:e3002647. [PMID: 38900742 PMCID: PMC11189252 DOI: 10.1371/journal.pbio.3002647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 04/26/2024] [Indexed: 06/22/2024] Open
Abstract
The human brain is organized as segregation and integration units and follows complex developmental trajectories throughout life. The cortical manifold provides a new means of studying the brain's organization in a multidimensional connectivity gradient space. However, how the brain's morphometric organization changes across the human lifespan remains unclear. Here, leveraging structural magnetic resonance imaging scans from 1,790 healthy individuals aged 8 to 89 years, we investigated age-related global, within- and between-network dispersions to reveal the segregation and integration of brain networks from 3D manifolds based on morphometric similarity network (MSN), combining multiple features conceptualized as a "fingerprint" of an individual's brain. Developmental trajectories of global dispersion unfolded along patterns of molecular brain organization, such as acetylcholine receptor. Communities were increasingly dispersed with age, reflecting more disassortative morphometric similarity profiles within a community. Increasing within-network dispersion of primary motor and association cortices mediated the influence of age on the cognitive flexibility of executive functions. We also found that the secondary sensory cortices were decreasingly dispersed with the rest of the cortices during aging, possibly indicating a shift of secondary sensory cortices across the human lifespan from an extreme to a more central position in 3D manifolds. Together, our results reveal the age-related segregation and integration of MSN from the perspective of a multidimensional gradient space, providing new insights into lifespan changes in multiple morphometric features of the brain, as well as the influence of such changes on cognitive performance.
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Affiliation(s)
- Jiao Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Chao Zhang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Yao Meng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Siqi Yang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Jie Xia
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Liao
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
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