1
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Liu H, Li Y, Sun Z, Xu X, Yan B, Li Y, Zhao X. Altered hemispheres lateralization of brain functional gradients in Alzheimer's disease. J Alzheimers Dis 2025:13872877251339761. [PMID: 40400336 DOI: 10.1177/13872877251339761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2025]
Abstract
BackgroundThe human brain demonstrates intrinsic hemispheric asymmetry across structural, functional, and biochemical domains. While cortical gradients provide a multiscale framework for understanding brain network organization, their hemispheric divergence in Alzheimer's disease (AD) remains unexplored.ObjectiveTo characterize interhemispheric gradient lateralization patterns across the AD continuum and evaluate their clinical correlates.MethodsResting-state fMRI data of 45 normal controls (NC), 45 patients with mild cognitive impairment (MCI), and 45 patients with AD underwent gradient networks processing. Interhemispheric comparisons of mean gradient values were conducted across these groups. A lateralization index (L value) was defined for 17 networks, and differences among the three groups were analyzed using one-way ANOVA. Additionally, correlations between network L values and cognitive scores were examined.ResultsNC and MCI participants exhibited left lateralization of gradient values in the second gradient. In contrast, AD patients showed a loss of interhemispheric lateralization. Notably, AD patients demonstrated reduced lateralization in default mode network (DMN) and control network. The degree of lateralization in DMN was significantly positively correlated with cognitive function.ConclusionsOur findings indicated that patients with AD demonstrated a diminished lateralization in gradient networks. Quantifying gradient laterality may serve as a multimodal biomarker for early AD detection and therapeutic monitoring.
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Affiliation(s)
- Hao Liu
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yunfei Li
- Department of Imaging, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Zheng Sun
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoyu Xu
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bicong Yan
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuehua Li
- Department of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaohu Zhao
- Department of Imaging, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
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2
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Nordin K, Pedersen R, Falahati F, Johansson J, Grill F, Andersson M, Korkki SM, Bäckman L, Zalesky A, Rieckmann A, Nyberg L, Salami A. Two long-axis dimensions of hippocampal-cortical integration support memory function across the adult lifespan. eLife 2025; 13:RP97658. [PMID: 40110999 PMCID: PMC11925452 DOI: 10.7554/elife.97658] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2025] Open
Abstract
The hippocampus is a complex structure critically involved in numerous behavior-regulating systems. In young adults, multiple overlapping spatial modes along its longitudinal and transverse axes describe the organization of its functional integration with neocortex, extending the traditional framework emphasizing functional differences between sharply segregated hippocampal subregions. Yet, it remains unknown whether these modes (i.e. gradients) persist across the adult human lifespan, and relate to memory and molecular markers associated with brain function and cognition. In two independent samples, we demonstrate that the principal anteroposterior and second-order, mid-to-anterior/posterior hippocampal modes of neocortical functional connectivity, representing distinct dimensions of macroscale cortical organization, manifest across the adult lifespan. Specifically, individual differences in topography of the second-order gradient predicted episodic memory and mirrored dopamine D1 receptor distribution, capturing shared functional and molecular organization. Older age was associated with less distinct transitions along gradients (i.e. increased functional homogeneity). Importantly, a youth-like gradient profile predicted preserved episodic memory - emphasizing age-related gradient dedifferentiation as a marker of cognitive decline. Our results underscore a critical role of mapping multidimensional hippocampal organization in understanding the neural circuits that support memory across the adult lifespan.
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Affiliation(s)
- Kristin Nordin
- Department of Neurobiology, Care Sciences, and Society, Karolinska InstitutetSolnaSweden
- Wallenberg Centre for Molecular Medicine, Umeå UniversityUmeåSweden
- Aging Research Center, Karolinska Institutet and Stockholm UniversitySolnaSweden
| | - Robin Pedersen
- Wallenberg Centre for Molecular Medicine, Umeå UniversityUmeåSweden
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeåSweden
- Department of Medical and Translational Biology, Umeå UniversityUmeåSweden
| | - Farshad Falahati
- Department of Neurobiology, Care Sciences, and Society, Karolinska InstitutetSolnaSweden
- Aging Research Center, Karolinska Institutet and Stockholm UniversitySolnaSweden
| | - Jarkko Johansson
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeåSweden
- Department of Radiation Sciences, Umeå UniversityUmeåSweden
| | - Filip Grill
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud UniversityNijmegenNetherlands
| | - Micael Andersson
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeåSweden
- Department of Medical and Translational Biology, Umeå UniversityUmeåSweden
| | - Saana M Korkki
- Department of Neurobiology, Care Sciences, and Society, Karolinska InstitutetSolnaSweden
- Aging Research Center, Karolinska Institutet and Stockholm UniversitySolnaSweden
| | - Lars Bäckman
- Department of Neurobiology, Care Sciences, and Society, Karolinska InstitutetSolnaSweden
- Aging Research Center, Karolinska Institutet and Stockholm UniversitySolnaSweden
| | - Andrew Zalesky
- Department of Biomedical Engineering, the University of MelbourneMelbourneAustralia
- Department of Psychiatry, the University of MelbourneMelbourneAustralia
| | - Anna Rieckmann
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeåSweden
- Department of Medical and Translational Biology, Umeå UniversityUmeåSweden
- Department of Radiation Sciences, Umeå UniversityUmeåSweden
- Department of Psychology, University of the Bundeswehr MunichMunichGermany
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeåSweden
- Department of Medical and Translational Biology, Umeå UniversityUmeåSweden
| | - Alireza Salami
- Department of Neurobiology, Care Sciences, and Society, Karolinska InstitutetSolnaSweden
- Wallenberg Centre for Molecular Medicine, Umeå UniversityUmeåSweden
- Aging Research Center, Karolinska Institutet and Stockholm UniversitySolnaSweden
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeåSweden
- Department of Medical and Translational Biology, Umeå UniversityUmeåSweden
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3
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Kember J, Gracia-Tabuenca Z, Patel R, Chakravarty M, Chai XJ. Neurite development varies across the hippocampus and covaries with the cellular composition of hippocampal tissue. Commun Biol 2025; 8:302. [PMID: 40000900 PMCID: PMC11861319 DOI: 10.1038/s42003-025-07725-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Accepted: 02/12/2025] [Indexed: 02/27/2025] Open
Abstract
The hippocampus is a critical brain structure supporting memory encoding and retrieval, yet the development of its microstructure in humans remains unknown. Understanding this development may provide insight into the mechanisms underlying memory and their disruption in disease. To address this, we non-invasively estimated the density and branching complexity of neurite (dendrites, axons, glial processes) using diffusion-weighted MRI in 364 participants aged 8-21. With development, large increases in neurite density and branching complexity persisted until ~15 years of age before stabilizing at adult-like values. Neurite density increases were relatively homogenous across hippocampal axes, whereas branching-complexity increases were heterogeneous: increasing primarily in CA1, SRLM, subiculum, and anterior hippocampus. To assess whether this development may be attributable to specific cell-types, we tested for spatial overlap between age-related change in neurite and cell-type composition of the adult hippocampus via cross-reference with an out-of-sample gene-expression atlas. We found age-related changes in neurite density occur in hippocampal locations which, in adults, consist of granule cells, whereas age-related changes in neurite branching complexity occur in locations consisting of pyramidal neurons. These results provide the first glimpse at the nonlinear maturation of hippocampal microstructure and the cell-type composition of hippocampal tissue underlying these changes.
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Affiliation(s)
- Jonah Kember
- Montreal Neurological Institute & Hospital, McGill University, Montréal, QC, H3A 2B4, Canada.
| | - Zeus Gracia-Tabuenca
- Montreal Neurological Institute & Hospital, McGill University, Montréal, QC, H3A 2B4, Canada
- Department of Statistics, University of Zaragoza, C. de Pedro Cerbuna, 12, 50009, Zaragoza, Spain
| | - Raihann Patel
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Québec, H4H 1R3, Canada
- Department of Biomedical Engineering, McGill University, 845 Rue Sherbrooke O, Montréal, QC, H3A 0G4, Canada
| | - Mallar Chakravarty
- Department of Biomedical Engineering, McGill University, 845 Rue Sherbrooke O, Montréal, QC, H3A 0G4, Canada
| | - Xiaoqian J Chai
- Montreal Neurological Institute & Hospital, McGill University, Montréal, QC, H3A 2B4, Canada
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4
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Chen J, Liu S, Shen Y, Cai H, Zhao W, Yu Y, Zhu J. Functional gradient of the fusiform gyrus and its underlying molecular basis. Cereb Cortex 2025; 35:bhaf029. [PMID: 39976666 DOI: 10.1093/cercor/bhaf029] [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: 11/26/2024] [Revised: 01/03/2025] [Accepted: 01/28/2025] [Indexed: 05/10/2025] Open
Abstract
Evidence has evinced the functional complexity, anatomical heterogeneity, connectivity diversity, and clinical relevance of the fusiform gyrus. We aimed to investigate the hierarchical organization of the fusiform gyrus and its underlying molecular basis. Resting-state functional MRI data of 793 healthy subjects were collected from a discovery dataset and two independent cross-scanner, cross-race validation datasets. Functional gradients of the fusiform gyrus were calculated based on the voxel-wise fusiform gyrus-to-cerebrum functional connectivity to reflect its functional organization. Transcription-neuroimaging spatial correlation analysis was performed to determine genes with expression levels tracking the fusiform gyrus functional gradient. The dominant functional gradient that explained the greatest connectivity variance showed an anterior-posterior axis across the fusiform gyrus. More important, there was a strong association between the fusiform gyrus-dominant gradient and gene expression profiles, with two gene sets contributing significantly to this association yet differing in their specific expression and functional annotation. In addition, the fusiform gyrus-dominant gradient was linked closely to intrinsic geometry, slightly to cortical morphology, and gradually to behavioral domains from high-level cognitive processes to low-level sensory functions. Our findings add to the extant knowledge regarding the topographic organization of the fusiform gyrus by informing a novel conceptualization of how functional heterogeneity and multiplicity co-occur within the fusiform gyrus.
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Affiliation(s)
- Jingyao Chen
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Institute of Translational Medicine, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, No. 81, Meishan Road, Shushan District, Hefei 230032, China
| | - Siyu Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Institute of Translational Medicine, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, No. 81, Meishan Road, Shushan District, Hefei 230032, China
| | - Yuhao Shen
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Institute of Translational Medicine, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, No. 81, Meishan Road, Shushan District, Hefei 230032, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Institute of Translational Medicine, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, No. 81, Meishan Road, Shushan District, Hefei 230032, China
| | - Wenming Zhao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Institute of Translational Medicine, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, No. 81, Meishan Road, Shushan District, Hefei 230032, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Institute of Translational Medicine, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, No. 81, Meishan Road, Shushan District, Hefei 230032, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Institute of Translational Medicine, No. 81, Meishan Road, Shushan District, Hefei 230032, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, No. 81, Meishan Road, Shushan District, Hefei 230032, China
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5
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Johnston KG, Berackey BT, Tran KM, Gelber A, Yu Z, MacGregor GR, Mukamel EA, Tan Z, Green KN, Xu X. Single-cell spatial transcriptomics reveals distinct patterns of dysregulation in non-neuronal and neuronal cells induced by the Trem2 R47H Alzheimer's risk gene mutation. Mol Psychiatry 2025; 30:461-477. [PMID: 39103533 PMCID: PMC11746152 DOI: 10.1038/s41380-024-02651-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 06/20/2024] [Accepted: 06/26/2024] [Indexed: 08/07/2024]
Abstract
The R47H missense mutation of the TREM2 gene is a known risk factor for development of Alzheimer's Disease. In this study, we analyze the impact of the Trem2R47H mutation on specific cell types in multiple cortical and subcortical brain regions in the context of wild-type and 5xFAD mouse background. We profile 19 mouse brain sections consisting of wild-type, Trem2R47H, 5xFAD and Trem2R47H; 5xFAD genotypes using MERFISH spatial transcriptomics, a technique that enables subcellular profiling of spatial gene expression. Spatial transcriptomics and neuropathology data are analyzed using our custom pipeline to identify plaque and Trem2R47H-induced transcriptomic dysregulation. We initially analyze cell type-specific transcriptomic alterations induced by plaque proximity. Next, we analyze spatial distributions of disease associated microglia and astrocytes, and how they vary between 5xFAD and Trem2R47H; 5xFAD mouse models. Finally, we analyze the impact of the Trem2R47H mutation on neuronal transcriptomes. The Trem2R47H mutation induces consistent upregulation of Bdnf and Ntrk2 across many cortical excitatory neuron types, independent of amyloid pathology. Spatial investigation of genotype enriched subclusters identified spatially localized neuronal subpopulations reduced in 5xFAD and Trem2R47H; 5xFAD mice. Overall, our MERFISH spatial transcriptomics analysis identifies glial and neuronal transcriptomic alterations induced independently by 5xFAD and Trem2R47H mutations, impacting inflammatory responses in microglia and astrocytes, and activity and BDNF signaling in neurons.
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Affiliation(s)
- Kevin G Johnston
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA, 92697, USA
| | - Bereket T Berackey
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA, 92697, USA
- Department of Biomedical Engineering, University of California, Irvine, CA, 92697, USA
| | - Kristine M Tran
- Department of Neurobiology and Behavior, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, 92697, USA
| | - Alon Gelber
- Department of Cognitive Science, University of California, San Diego, CA, 92037, USA
| | - Zhaoxia Yu
- Department of Statistics, School of Computer and Information Science, University of California, Irvine, CA, 92697, USA
- Center for Neural Circuit Mapping, University of California, Irvine, CA, 92697, USA
| | - Grant R MacGregor
- Department of Developmental and Cell Biology, University of California, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders (UCI MIND), Irvine, USA
| | - Eran A Mukamel
- Department of Cognitive Science, University of California, San Diego, CA, 92037, USA
| | - Zhiqun Tan
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA, 92697, USA
- Center for Neural Circuit Mapping, University of California, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders (UCI MIND), Irvine, USA
- Department of Molecular Biology and Biochemistry School of Biological Sciences, University of California, Irvine, CA, 92697, USA
| | - Kim N Green
- Department of Neurobiology and Behavior, Charlie Dunlop School of Biological Sciences, University of California, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders (UCI MIND), Irvine, USA
| | - Xiangmin Xu
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA, 92697, USA.
- Department of Biomedical Engineering, University of California, Irvine, CA, 92697, USA.
- Center for Neural Circuit Mapping, University of California, Irvine, CA, 92697, USA.
- Institute for Memory Impairments and Neurological Disorders (UCI MIND), Irvine, USA.
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6
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Ohm DT, Xie SX, Capp N, Arezoumandan S, Cousins KAQ, Rascovsky K, Wolk DA, Van Deerlin VM, Lee EB, McMillan CT, Irwin DJ. Cytoarchitectonic gradients of laminar degeneration in behavioural variant frontotemporal dementia. Brain 2025; 148:102-118. [PMID: 39119853 PMCID: PMC11706280 DOI: 10.1093/brain/awae263] [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: 03/17/2024] [Revised: 05/30/2024] [Accepted: 07/15/2024] [Indexed: 08/10/2024] Open
Abstract
Behavioural variant frontotemporal dementia (bvFTD) is a clinical syndrome caused primarily by either tau (bvFTD-tau) or transactive response DNA-binding protein of 43 kDa (TDP-43) (bvFTD-TDP) proteinopathies. We previously found that lower cortical layers and dorsolateral regions accumulate greater tau than TDP-43 pathology; however, the patterns of laminar neurodegeneration across diverse cytoarchitecture in bvFTD are understudied. We hypothesized that bvFTD-tau and bvFTD-TDP have distinct laminar distributions of pyramidal neurodegeneration along cortical gradients, a topological order of cytoarchitectonic subregions based on increasing pyramidal density and laminar differentiation. Here, we tested this hypothesis in a frontal cortical gradient consisting of five cytoarchitectonic types (i.e. periallocortex, agranular mesocortex, dysgranular mesocortex, eulaminate-I isocortex and eulaminate-II isocortex) spanning the anterior cingulate, paracingulate, orbitofrontal and mid-frontal gyri in bvFTD-tau (n = 27), bvFTD-TDP (n = 47) and healthy controls (n = 32). We immunostained all tissue for total neurons (NeuN; neuronal-nuclear protein) and pyramidal neurons (SMI32; non-phosphorylated neurofilament) and digitally quantified NeuN-immunoreactivity (ir) and SMI32-ir in supragranular II-III, infragranular V-VI and all I-VI layers in each cytoarchitectonic type. We used linear mixed-effects models adjusted for demographic and biological variables to compare SMI32-ir between groups and examine relationships with the cortical gradient, long-range pathways and clinical symptoms. We found regional and laminar distributions of SMI32-ir expected for healthy controls, validating our measures within the cortical gradient framework. The SMI32-ir loss was relatively uniform along the cortical gradient in bvFTD-TDP, whereas SMI32-ir decreased progressively along the cortical gradient of bvFTD-tau and included greater SMI32-ir loss in supragranular eulaminate-II isocortex in bvFTD-tau versus bvFTD-TDP (P = 0.039). Using a ratio of SMI32-ir to model known long-range connectivity between infragranular mesocortex and supragranular isocortex, we found a larger laminar ratio in bvFTD-tau versus bvFTD-TDP (P = 0.019), suggesting that select long-projecting pathways might contribute to isocortical-predominant degeneration in bvFTD-tau. In cytoarchitectonic types with the highest NeuN-ir, we found lower SMI32-ir in bvFTD-tau versus bvFTD-TDP (P = 0.047), suggesting that pyramidal neurodegeneration might occur earlier in bvFTD-tau. Lastly, we found that reduced SMI32-ir was related to behavioural severity and frontal-mediated letter fluency, not temporal-mediated confrontation naming, demonstrating the clinical relevance and specificity of frontal pyramidal neurodegeneration to bvFTD-related symptoms. Our data suggest that loss of neurofilament-rich pyramidal neurons is a clinically relevant feature of bvFTD that worsens selectively along a frontal cortical gradient in bvFTD-tau, not bvFTD-TDP. Therefore, tau-mediated degeneration might preferentially involve pyramidal-rich layers that connect more distant cytoarchitectonic types. Moreover, the hierarchical arrangement of cytoarchitecture along cortical gradients might be an important neuroanatomical framework for identifying which types of cells and pathways are involved differentially between proteinopathies.
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Affiliation(s)
- Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Noah Capp
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sanaz Arezoumandan
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Katheryn A Q Cousins
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David A Wolk
- Alzheimer’s Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn Memory Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Edward B Lee
- Alzheimer’s Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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7
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Wu T, Li X, Xue J, Xia Y. Rational Fabrication of Functionally-Graded Surfaces for Biological and Biomedical Applications. ACCOUNTS OF MATERIALS RESEARCH 2024; 5:1507-1519. [PMID: 39744454 PMCID: PMC11686510 DOI: 10.1021/accountsmr.4c00186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 09/07/2024] [Accepted: 09/14/2024] [Indexed: 03/11/2025]
Abstract
As a ubiquitous feature of the biological world, gradation, in either composition or structure, is essential to many functions and processes. Taking protein gradation as an example, it plays a pivotal role in the development and evolution of human bodies, including stimulation and direction of the outgrowth of peripheral nerves in a developing fetus. It is also critically involved in wound healing by attracting and guiding immune cells to the site of injury or infection. Another good example can be found in the tendon-to-bone enthesis that relies on gradations in composition, structure, and cell phenotype to create a gradual change in mechanical stiffness. It is these unique gradations that eliminate the high level of stress at the interface, enabling the effective transfer of mechanical load from tendon to bone. How to fabricate and utilize graded surfaces and materials has been a constant theme of research in the context of materials science, chemistry, cell biology, and biomedical engineering. In cell biology, for example, graded surfaces are employed to investigate the fundamental mechanisms related to embryo development and to elucidate cell behaviors under chemo-, hapto-, or mechano-taxis. Scaffolds based upon graded materials have also been widely explored to enhance tissue repair or regeneration by accelerating cell migration and/or controlling stem cell differentiation. In this Account, we review our efforts in the fabrication and utilization of functionally graded surfaces. The gradation typically occurs as gradual changes in terms of composition, structure (e.g., pore size or fiber alignment), and/or coverage density of molecular species or larger objects such as particles and cells. Specifically, we focus on two strategies for generating various types of gradations along the surface of a substrate. In the first strategy, the substrate is vertically placed in a container, followed by the addition of a solution containing the functional component at a constant rate. Owing to the variations in contact time, the amount of the component deposited on the substrate naturally takes a gradual change along the vertical direction. In the second strategy, a moving collector or mask is used to control the amount of the component deposited on a substrate during jet printing or electrospray. As for applications, we highlight the following examples: (i) promotion of neurite outgrowth for peripheral nerve repair; (ii) acceleration of cell migration for wound closure; and (iii) mimicking of the structure and/or force transition at the tendon-to-bone enthesis for interfacial tissue engineering. The surface gradation can be presented in a uniaxial or radial fashion, and further integrated with the structural features on the underlying substrate to suit a specific application. In addition to general issues such as diversity of the surface gradation and reproducibility of the fabrication method, we also offer perspectives on new directions for future development. The systems and strategies discussed in this Account are expected to open the door to a range of fundamental inquires while enabling various biological and biomedical applications.
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Affiliation(s)
- Tong Wu
- Medical
Research Center, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, P. R. China
| | - Xiaoran Li
- Innovation
Center for Textile Science and Technology, Donghua University, Shanghai 201620, P. R. China
| | - Jiajia Xue
- Beijing
Laboratory of Biomedical Materials, State Key Laboratory of Organic−Inorganic
Composites, Beijing University of Chemical
Technology, Beijing 100029, P. R. China
| | - Younan Xia
- The Wallace
H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States
- School
of Chemistry and Biochemistry, School of Chemical and Biomolecular
Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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8
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Freelin A, Wolfe C, Lega B. Models of human hippocampal specialization: a look at the electrophysiological evidence. Trends Cogn Sci 2024:S1364-6613(24)00318-8. [PMID: 39668062 DOI: 10.1016/j.tics.2024.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 11/08/2024] [Accepted: 11/20/2024] [Indexed: 12/14/2024]
Abstract
From an anatomical perspective, the concept that the anterior and posterior hippocampus fulfill distinct cognitive roles may seem unsurprising. When compared with the posterior hippocampus, the anterior region is proportionally larger, with visible expansion of the CA1 subfield and intimate continuity with adjacent medial temporal lobe (MTL) structures such as the uncus and amygdala. However, the functional relevance emerging from these anatomical differences remains to be established in humans. Drawing on both rodent and human data, several models of hippocampal longitudinal specialization have been proposed. For the brevity and clarity of this review, we focus on human electrophysiological evidence supporting and contravening these models with limited inclusion of noninvasive data. We then synthesize these data to propose a novel longitudinal model based on the amount of contextual information, drawing on previous conceptions described within the past decade.
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Affiliation(s)
- Anne Freelin
- Department of Neuroscience, University of Texas Southwestern, Dallas, TX, 75390, USA
| | - Cody Wolfe
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX, 75390, USA
| | - Bradley Lega
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX, 75390, USA.
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9
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Alberro A, Bravo-Miana RDC, Gs Iñiguez S, Iribarren-López A, Arroyo-Izaga M, Matheu A, Muñoz-Culla M, Otaegui D. Age-Related sncRNAs in Human Hippocampal Tissue Samples: Focusing on Deregulated miRNAs. Int J Mol Sci 2024; 25:12872. [PMID: 39684581 DOI: 10.3390/ijms252312872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 11/21/2024] [Accepted: 11/25/2024] [Indexed: 12/18/2024] Open
Abstract
Small non-coding RNAs (sncRNAs), particularly microRNAs (miRNAs), play an important role in transcriptome regulation by binding to mRNAs and post-transcriptionally inhibiting protein production. This regulation occurs in both physiological and pathological conditions, where the expression of many miRNAs is altered. Previous reports by our group and others have demonstrated that miRNA expression is also altered during aging. However, most studies have analyzed human peripheral blood samples or brain samples from animal models, leaving a gap in knowledge regarding miRNA expression in the human brain. In this work, we analyzed the expression of sncRNAs from coronal sections of human hippocampal samples, a tissue with a high vulnerability to deleterious conditions such as aging. Samples from young (n = 5, 27-49 years old), old (n = 8, 58-88 years old), and centenarian (n = 3, 97, 99, and 100 years old) individuals were included. Our results reveal that sncRNAs, particularly miRNAs, are differentially expressed (DE) in the human hippocampus with aging. Besides, miRNA-mediated regulatory networks revealed significant interactions with mRNAs deregulated in the same hippocampal samples. Surprisingly, 80% of DE mRNA in the centenarian vs. old comparison are regulated by hsa-miR-192-5p and hsa-miR-3135b. Additionally, validated hsa-miR-6826-5p, hsa-let-7b-3p, hsa-miR-7846, and hsa-miR-451a emerged as promising miRNAs that are deregulated with aging and should be further investigated.
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Affiliation(s)
- Ainhoa Alberro
- Neuroimmunology Group, Neuroscience Area, Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain
- Neurodegenerative Diseases Research Area of CIBER (CIBERNED), Carlos III Health Institute (ISCIII), 28029 Madrid, Spain
| | - Rocío Del Carmen Bravo-Miana
- Neuroimmunology Group, Neuroscience Area, Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain
- Neurodegenerative Diseases Research Area of CIBER (CIBERNED), Carlos III Health Institute (ISCIII), 28029 Madrid, Spain
| | - Saioa Gs Iñiguez
- Neuroimmunology Group, Neuroscience Area, Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain
| | - Andrea Iribarren-López
- Neuroimmunology Group, Neuroscience Area, Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain
- Neurodegenerative Diseases Research Area of CIBER (CIBERNED), Carlos III Health Institute (ISCIII), 28029 Madrid, Spain
| | - Marta Arroyo-Izaga
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), Bioaraba, 01006 Vitoria-Gasteiz, Spain
| | - Ander Matheu
- Cellular Oncology Group, Oncology Area, Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain
- IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
- Frailty and Healthy Ageing Research Area of CIBER (CIBERfes), Carlos III Health Institute (ISCIII), 28029 Madrid, Spain
| | - Maider Muñoz-Culla
- Neuroimmunology Group, Neuroscience Area, Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain
- Neurodegenerative Diseases Research Area of CIBER (CIBERNED), Carlos III Health Institute (ISCIII), 28029 Madrid, Spain
- Department of Basic Psychological Processes and Their Development, University of the Basque Country (UPV/EHU), 20018 San Sebastián, Spain
| | - David Otaegui
- Neuroimmunology Group, Neuroscience Area, Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain
- Neurodegenerative Diseases Research Area of CIBER (CIBERNED), Carlos III Health Institute (ISCIII), 28029 Madrid, Spain
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10
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Rezagholizadeh A, Shojaei A, Hosseinmardi N, Mirnajafi-Zadeh J, Kohlmeier KA, Fathollahi Y. Astrocytes contribute to the functional differentiation of the hippocampal longitudinal axis during reward and aversion processing in the adult male rat. Neuroscience 2024; 560:297-313. [PMID: 39374644 DOI: 10.1016/j.neuroscience.2024.10.011] [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: 04/18/2024] [Revised: 09/30/2024] [Accepted: 10/04/2024] [Indexed: 10/09/2024]
Abstract
This study aims to investigate whether glial cells, in particular putative astrocytes, contribute to functional distinctions between the dorsal (DH), intermediate (IH), and ventral (VH) hippocampus. To evaluate this, we performed three different behavioral tasks (i.e., Morris water maze; MWM, Passive avoidance; PA, T-maze place preference; TPP) to determine whether the DH, IH, and VH are necessary for each task. Sensitivity of behavioral tasks was confirmed using lidocaine (2 %, 1 μl) reversible inactivation. Subsequently, we examined the effects of silencing astrocytes, using fluorocitrate (FC, 1 mM/1 μl), into the DH, IH, and VH on these tasks. The effects of drugs were examined separately. We observed that injection of FC into the DH resulted in a significant impairment in MWM performance. In contrast, while FC injections into the IH or VH did not prevent platform localization during the acquisition phase, rats showed difficulty recalling the target zone during the retrieval phase. In the PA test, FC injection into the VH impaired task learning and memory. During the acquisition phase, FC injection into the DH or IH did not differ from the control in the number of shocks; however, during retrieval, there was a significant decrease in the latency before entering the dark chamber. The TPP test performance was impaired by FC injection in the IH. In sum, we show that glial cells, especially astrocytes in specific functional regions of the hippocampus, play distinct roles in processing aversive and rewarding experiences and contribute to the functional organization of the hippocampal longitudinal axis.
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Affiliation(s)
- Amir Rezagholizadeh
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, PO Box 14115-111, Tehran, Iran
| | - Amir Shojaei
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, PO Box 14115-111, Tehran, Iran
| | - Narges Hosseinmardi
- Department of Physiology, Medical School, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Javad Mirnajafi-Zadeh
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, PO Box 14115-111, Tehran, Iran
| | - Kristi Anne Kohlmeier
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yaghoub Fathollahi
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, PO Box 14115-111, Tehran, Iran.
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11
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Graf S, Dörl G, Milz C, Kathofer M, Stöhrmann P, Gomola D, Briem E, Schlosser G, Mayerweg A, Semmelweis-Tomits J, Hoti A, Eggerstorfer B, Schmidt C, Crone J, Rujescu D, Spies M, Lanzenberger R, Spurny-Dworak B. Morphological correlates of anxiety-related experiences during a ketamine infusion. World J Biol Psychiatry 2024; 25:537-546. [PMID: 39394769 DOI: 10.1080/15622975.2024.2402261] [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: 07/24/2024] [Revised: 09/05/2024] [Accepted: 09/05/2024] [Indexed: 10/14/2024]
Abstract
OBJECTIVES Ketamine exerts rapid antidepressant effects by enhancing neuroplasticity, particularly in the amygdala and hippocampus-regions involved in fear processing and learning. While the role of ketamine's dissociative effects in its antidepressant response is debated, anxiety experienced during infusion has been negatively correlated with treatment outcomes. METHODS In this single-blind, placebo-controlled study, a subset of 17 healthy volunteers (6 males, 23.12 ± 1.9 years) received intravenously a placebo in the first and 0.5 mg/kg racemic ketamine in the second session. Anxiety-related experiences were assessed by the 5D-ASC score obtained post-infusion, structural magnetic resonance imaging scans were acquired 4 h post-infusion. An anxiety-score was obtained from the 5D-ASC. Relation between post-placebo amygdala volume, hippocampal volume, and its subfields with the anxiety-score were assessed using linear regression models. RESULTS Results showed a statistically significant negative relation between hippocampal head volume and the anxiety score (β = -0.733, p = 0.006), with trending negative association for each subfield's head and the score. CONCLUSION These findings suggest that anxiety-related experiences during ketamine infusion may be mediated by the hippocampus, with smaller hippocampal volumes leading to more anxiety-related experiences. Thus, hippocampal subfield volumes may be used as a predictor for anxiety-related events during ketamine use and might predict treatment outcome in future approaches.
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Affiliation(s)
- S Graf
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - G Dörl
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - C Milz
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - M Kathofer
- Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria
| | - P Stöhrmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - D Gomola
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - E Briem
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - G Schlosser
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - A Mayerweg
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - J Semmelweis-Tomits
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - A Hoti
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - B Eggerstorfer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - C Schmidt
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - J Crone
- Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
- Faculty of Psychology, University of Vienna, Vienna, Austria
| | - D Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - M Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - R Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | - B Spurny-Dworak
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
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12
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Xie H, Illapani VSP, Reppert LT, You X, Krishnamurthy M, Bai Y, Berl MM, Gaillard WD, Hong SJ, Sepeta LN. Longitudinal hippocampal axis in large-scale cortical systems underlying development and episodic memory. Proc Natl Acad Sci U S A 2024; 121:e2403015121. [PMID: 39436664 PMCID: PMC11536083 DOI: 10.1073/pnas.2403015121] [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: 02/13/2024] [Accepted: 09/20/2024] [Indexed: 10/23/2024] Open
Abstract
The hippocampus is functionally specialized along its longitudinal axis with intricate interactions with cortical systems, which is crucial for understanding development and cognition. Using a well-established connectopic mapping technique on two large resting-state functional MRI datasets, we systematically quantified topographic organization of the hippocampal functional connectivity (hippocampal gradient) and its cortical interaction in developing brains. We revealed hippocampal functional hierarchy within the large-scale cortical brain systems, with the anterior hippocampus preferentially connected to an anterior temporal (AT) pathway and the posterior hippocampus embedded in a posterior medial (PM) pathway. We examined the developmental effects of the primary gradient and its whole-brain functional interaction. We observed increased functional specialization along the hippocampal long axis and found a general whole-brain connectivity shift from the posterior to the anterior hippocampus during development. Using phenotypic predictive modeling, we further delineated how the hippocampus is differentially integrated into the whole-brain cortical hierarchy underlying episodic memory and identified several key nodes within PM/AT systems. Our results highlight the importance of hippocampal gradient and its cortical interaction in development and for supporting episodic memory.
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Affiliation(s)
- Hua Xie
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
- Department of Neurology & Rehabilitation Medicine, The George Washington University School of Medicine and Health Sciences, Washington, D.C.20037
| | - Venkata Sita Priyanka Illapani
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
| | - Lauren T. Reppert
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
| | - Xiaozhen You
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
- Department of Neurology & Rehabilitation Medicine, The George Washington University School of Medicine and Health Sciences, Washington, D.C.20037
| | - Manu Krishnamurthy
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
| | - Yutong Bai
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon16419, South Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon16419, South Korea
| | - Madison M. Berl
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
- Departments of Psychiatry & Behavioral Health, The George Washington University School of Medicine and Health Sciences, Washington, D.C.20037
| | - William D. Gaillard
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
- Department of Neurology & Rehabilitation Medicine, The George Washington University School of Medicine and Health Sciences, Washington, D.C.20037
| | - Seok-Jun Hong
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon16419, South Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon16419, South Korea
| | - Leigh N. Sepeta
- Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington, D.C.20010
- Departments of Psychiatry & Behavioral Health, The George Washington University School of Medicine and Health Sciences, Washington, D.C.20037
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13
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Zhao K, Wang D, Wang D, Chen P, Wei Y, Tu L, Chen Y, Tang Y, Yao H, Zhou B, Lu J, Wang P, Liao Z, Chen Y, Han Y, Zhang X, Liu Y. Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer's disease. SCIENCE ADVANCES 2024; 10:eado8837. [PMID: 39392880 PMCID: PMC11809497 DOI: 10.1126/sciadv.ado8837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 09/11/2024] [Indexed: 10/13/2024]
Abstract
The intricate spatial configurations of brain networks offer essential insights into understanding the specific patterns of brain abnormalities and the underlying biological mechanisms associated with Alzheimer's disease (AD), normal aging, and other neurodegenerative disorders. This study investigated alterations in the topographical structure of the brain related to aging and neurodegenerative diseases by analyzing brain gradients derived from structural MRI data across multiple cohorts (n = 7323). The analysis identified distinct gradient patterns in AD, aging, and other neurodegenerative conditions. Gene enrichment analysis indicated that inorganic ion transmembrane transport was the most significant term in normal aging, while chemical synaptic transmission is a common enrichment term across various neurodegenerative diseases. Moreover, the findings show that each disorder exhibits unique dysfunctional neurophysiological characteristics. These insights are pivotal for elucidating the distinct biological mechanisms underlying AD, thereby enhancing our understanding of its unique clinical phenotypes in contrast to normal aging and other neurodegenerative disorders.
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Affiliation(s)
- Kun Zhao
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
- Research Institute of Shandong University: Magnetic Field-free Medicine & Functional Imaging, Jinan, China
- Shandong Key Laboratory: Magnetic Field-free Medicine & Functional Imaging (MF), Jinan, China
| | - Dong Wang
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Pindong Chen
- School of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Center, Chinese Academy of Sciences, Beijing, China
| | - Yongbin Wei
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Liyun Tu
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Yuqi Chen
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Yi Tang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Hongxiang Yao
- Department of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Bo Zhou
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Zhengluan Liao
- Department of Psychiatry, People’s Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Yan Chen
- Department of Psychiatry, People’s Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
| | - Xi Zhang
- Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yong Liu
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Center, Chinese Academy of Sciences, Beijing, China
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14
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Royer J, Paquola C, Valk SL, Kirschner M, Hong SJ, Park BY, Bethlehem RAI, Leech R, Yeo BTT, Jefferies E, Smallwood J, Margulies D, Bernhardt BC. Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community. Neuroinformatics 2024; 22:623-634. [PMID: 38568476 DOI: 10.1007/s12021-024-09660-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/12/2024] [Indexed: 11/21/2024]
Abstract
Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends - or gradients - in brain structure and function, offering a framework to unify principles of brain organization across multiple scales. Strong community enthusiasm for these techniques has been instrumental in their widespread adoption and implementation to answer key questions in neuroscience. Following a brief review of current literature on this framework, this perspective paper will highlight how pragmatic steps aiming to make gradient methods more accessible to the community propelled these techniques to the forefront of neuroscientific inquiry. More specifically, we will emphasize how interest for gradient methods was catalyzed by data sharing, open-source software development, as well as the organization of dedicated workshops led by a diverse team of early career researchers. To this end, we argue that the growing excitement for brain gradients is the result of coordinated and consistent efforts to build an inclusive community and can serve as a case in point for future innovations and conceptual advances in neuroinformatics. We close this perspective paper by discussing challenges for the continuous refinement of neuroscientific theory, methodological innovation, and real-world translation to maintain our collective progress towards integrated models of brain organization.
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Affiliation(s)
- Jessica Royer
- Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
| | - Casey Paquola
- Institute for Neuroscience and Medicine (INM-7), Forschungszentrum Jülich, Jülich, Germany
| | - Sofie L Valk
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Matthias Kirschner
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Thonex, Switzerland
| | - Seok-Jun Hong
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
- Center for the Developing Brain, Child Mind Institute, New York, USA
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea
| | - Bo-Yong Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
- Department of Data Science, Inha University, Incheon, South Korea
- Department of Statistics and Data Science, Inha University, Incheon, South Korea
| | | | - Robert Leech
- Centre for Neuroimaging Science, King's College London, London, UK
| | - B T Thomas Yeo
- Centre for Sleep & Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Daniel Margulies
- Integrative Neuroscience and Cognition Center (UMR 8002), Centre National de la Recherche Scientifique (CNRS), Université de Paris, Paris, France
| | - Boris C Bernhardt
- Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
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15
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Pasquini L, Pereira FL, Seddighi S, Zeng Y, Wei Y, Illán-Gala I, Vatsavayai SC, Friedberg A, Lee AJ, Brown JA, Spina S, Grinberg LT, Sirkis DW, Bonham LW, Yokoyama JS, Boxer AL, Kramer JH, Rosen HJ, Humphrey J, Gitler AD, Miller BL, Pollard KS, Ward ME, Seeley WW. Frontotemporal lobar degeneration targets brain regions linked to expression of recently evolved genes. Brain 2024; 147:3032-3047. [PMID: 38940350 PMCID: PMC11370792 DOI: 10.1093/brain/awae205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 05/08/2024] [Accepted: 05/20/2024] [Indexed: 06/29/2024] Open
Abstract
In frontotemporal lobar degeneration (FTLD), pathological protein aggregation in specific brain regions is associated with declines in human-specialized social-emotional and language functions. In most patients, disease protein aggregates contain either TDP-43 (FTLD-TDP) or tau (FTLD-tau). Here, we explored whether FTLD-associated regional degeneration patterns relate to regional gene expression of human accelerated regions (HARs), conserved sequences that have undergone positive selection during recent human evolution. To this end, we used structural neuroimaging from patients with FTLD and human brain regional transcriptomic data from controls to identify genes expressed in FTLD-targeted brain regions. We then integrated primate comparative genomic data to test our hypothesis that FTLD targets brain regions linked to expression levels of recently evolved genes. In addition, we asked whether genes whose expression correlates with FTLD atrophy are enriched for genes that undergo cryptic splicing when TDP-43 function is impaired. We found that FTLD-TDP and FTLD-tau subtypes target brain regions with overlapping and distinct gene expression correlates, highlighting many genes linked to neuromodulatory functions. FTLD atrophy-correlated genes were strongly enriched for HARs. Atrophy-correlated genes in FTLD-TDP showed greater overlap with TDP-43 cryptic splicing genes and genes with more numerous TDP-43 binding sites compared with atrophy-correlated genes in FTLD-tau. Cryptic splicing genes were enriched for HAR genes, and vice versa, but this effect was due to the confounding influence of gene length. Analyses performed at the individual-patient level revealed that the expression of HAR genes and cryptically spliced genes within putative regions of disease onset differed across FTLD-TDP subtypes. Overall, our findings suggest that FTLD targets brain regions that have undergone recent evolutionary specialization and provide intriguing potential leads regarding the transcriptomic basis for selective vulnerability in distinct FTLD molecular-anatomical subtypes.
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Affiliation(s)
- Lorenzo Pasquini
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Department of Neurology, Neuroscape, University of California, San Francisco, CA 94158, USA
| | - Felipe L Pereira
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Sahba Seddighi
- National Institute of Neurological Disorders and Stroke, Neurogenetics Branch, Bethesda, MD 20892, USA
| | - Yi Zeng
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yongbin Wei
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Ignacio Illán-Gala
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, 94158USA
- Trinity College Dublin, Dublin D02 X9W9, Ireland
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute, Universitat Autònoma de Barcelona, Barcelona, Catalunya, 08041, Spain
| | - Sarat C Vatsavayai
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Adit Friedberg
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, 94158USA
- Trinity College Dublin, Dublin D02 X9W9, Ireland
| | - Alex J Lee
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Jesse A Brown
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Salvatore Spina
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Lea T Grinberg
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Department of Pathology, University of California, San Francisco, CA 94158, USA
| | - Daniel W Sirkis
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Luke W Bonham
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Department of Radiology, University of California, San Francisco, CA 94158, USA
| | - Jennifer S Yokoyama
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Department of Radiology, University of California, San Francisco, CA 94158, USA
| | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Joel H Kramer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Jack Humphrey
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Aaron D Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Katherine S Pollard
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Epidemiology and Biostatistics and Bakar Institute for Computational Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Michael E Ward
- National Institute of Neurological Disorders and Stroke, Neurogenetics Branch, Bethesda, MD 20892, USA
| | - William W Seeley
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Department of Pathology, University of California, San Francisco, CA 94158, USA
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16
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Hoang N, Sardaripour N, Ramey GD, Schilling K, Liao E, Chen Y, Park JH, Bledsoe X, Landman BA, Gamazon ER, Benton ML, Capra JA, Rubinov M. Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale. PLoS Biol 2024; 22:e3002782. [PMID: 39269986 PMCID: PMC11424006 DOI: 10.1371/journal.pbio.3002782] [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: 03/22/2024] [Revised: 09/25/2024] [Accepted: 08/01/2024] [Indexed: 09/15/2024] Open
Abstract
An understanding of human brain individuality requires the integration of data on brain organization across people and brain regions, molecular and systems scales, as well as healthy and clinical states. Here, we help advance this understanding by leveraging methods from computational genomics to integrate large-scale genomic, transcriptomic, neuroimaging, and electronic-health record data sets. We estimated genetically regulated gene expression (gr-expression) of 18,647 genes, across 10 cortical and subcortical regions of 45,549 people from the UK Biobank. First, we showed that patterns of estimated gr-expression reflect known genetic-ancestry relationships, regional identities, as well as inter-regional correlation structure of directly assayed gene expression. Second, we performed transcriptome-wide association studies (TWAS) to discover 1,065 associations between individual variation in gr-expression and gray-matter volumes across people and brain regions. We benchmarked these associations against results from genome-wide association studies (GWAS) of the same sample and found hundreds of novel associations relative to these GWAS. Third, we integrated our results with clinical associations of gr-expression from the Vanderbilt Biobank. This integration allowed us to link genes, via gr-expression, to neuroimaging and clinical phenotypes. Fourth, we identified associations of polygenic gr-expression with structural and functional MRI phenotypes in the Human Connectome Project (HCP), a small neuroimaging-genomic data set with high-quality functional imaging data. Finally, we showed that estimates of gr-expression and magnitudes of TWAS were generally replicable and that the p-values of TWAS were replicable in large samples. Collectively, our results provide a powerful new resource for integrating gr-expression with population genetics of brain organization and disease.
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Affiliation(s)
- Nhung Hoang
- Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Neda Sardaripour
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Grace D. Ramey
- Biological and Medical Informatics Division, University of California, San Francisco, California, United States of America
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
| | - Kurt Schilling
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Emily Liao
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Yiting Chen
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Jee Hyun Park
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Xavier Bledsoe
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Bennett A. Landman
- Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Eric R. Gamazon
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Mary Lauren Benton
- Department of Computer Science, Baylor University, Waco, Texas, United States of America
| | - John A. Capra
- Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
- Bakar Computational Health Sciences Institute, University of California, San Francisco, California, United States of America
| | - Mikail Rubinov
- Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, United States of America
- Howard Hughes Medical Institute Janelia Research Campus, Ashburn, Virginia, United States of America
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17
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Valk SL, Engert V, Puhlmann L, Linz R, Caldairou B, Bernasconi A, Bernasconi N, Bernhardt BC, Singer T. Differential increase of hippocampal subfield volume after socio-affective mental training relates to reductions in diurnal cortisol. eLife 2024; 12:RP87634. [PMID: 39196261 DOI: 10.7554/elife.87634] [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] [Indexed: 08/29/2024] Open
Abstract
The hippocampus is a central modulator of the HPA-axis, impacting the regulation of stress on brain structure, function, and behavior. The current study assessed whether three different types of 3 months mental Training Modules geared towards nurturing (a) attention-based mindfulness, (b) socio-affective, or (c) socio-cognitive skills may impact hippocampal organization by reducing stress. We evaluated mental training-induced changes in hippocampal subfield volume and intrinsic functional connectivity, by combining longitudinal structural and resting-state fMRI connectivity analysis in 332 healthy adults. We related these changes to changes in diurnal and chronic cortisol levels. We observed increases in bilateral cornu ammonis volume (CA1-3) following the 3 months compassion-based module targeting socio-affective skills (Affect module), as compared to socio-cognitive skills (Perspective module) or a waitlist cohort with no training intervention. Structural changes were paralleled by relative increases in functional connectivity of CA1-3 when fostering socio-affective as compared to socio-cognitive skills. Furthermore, training-induced changes in CA1-3 structure and function consistently correlated with reductions in cortisol output. Notably, using a multivariate approach, we found that other subfields that did not show group-level changes also contributed to changes in cortisol levels. Overall, we provide a link between a socio-emotional behavioural intervention, changes in hippocampal subfield structure and function, and reductions in cortisol in healthy adults.
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Affiliation(s)
- Sofie Louise Valk
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- INM-7, FZ Jülich, Jülich, Germany
- Institute for System Neurosciences, Heinrich Heine University, Düsseldorf, Germany
| | - Veronika Engert
- Institute for Psychosocial Medicine, Psychotherapy and Psychooncology, Jena University Hospital, Friedrich-Schiller University, Jena, Germany
- Research Group Social Stress and Family Health, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Lara Puhlmann
- Research Group Social Stress and Family Health, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Leibniz Institute for Resilience Research, Mainz, Germany
| | - Roman Linz
- Research Group Social Stress and Family Health, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Benoit Caldairou
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Andrea Bernasconi
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Neda Bernasconi
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Tania Singer
- Social Neuroscience Lab, Max Planck Society, Berlin, Germany
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18
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Eichert N, DeKraker J, Howard AFD, Huszar IN, Zhu S, Sallet J, Miller KL, Mars RB, Jbabdi S, Bernhardt BC. Hippocampal connectivity patterns echo macroscale cortical evolution in the primate brain. Nat Commun 2024; 15:5963. [PMID: 39013855 PMCID: PMC11252401 DOI: 10.1038/s41467-024-49823-8] [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: 09/25/2023] [Accepted: 06/17/2024] [Indexed: 07/18/2024] Open
Abstract
While the hippocampus is key for human cognitive abilities, it is also a phylogenetically old cortex and paradoxically considered evolutionarily preserved. Here, we introduce a comparative framework to quantify preservation and reconfiguration of hippocampal organisation in primate evolution, by analysing the hippocampus as an unfolded cortical surface that is geometrically matched across species. Our findings revealed an overall conservation of hippocampal macro- and micro-structure, which shows anterior-posterior and, perpendicularly, subfield-related organisational axes in both humans and macaques. However, while functional organisation in both species followed an anterior-posterior axis, we observed a marked reconfiguration in the latter across species, which mirrors a rudimentary integration of the default-mode-network in non-human primates. Here we show that microstructurally preserved regions like the hippocampus may still undergo functional reconfiguration in primate evolution, due to their embedding within heteromodal association networks.
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Affiliation(s)
- Nicole Eichert
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
| | - Jordan DeKraker
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Amy F D Howard
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Istvan N Huszar
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Silei Zhu
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Jérôme Sallet
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- INSERM U1208 Stem Cell and Brain Research Institute, Univ Lyon, Bron, France
| | - Karla L Miller
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Rogier B Mars
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Boris C Bernhardt
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
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19
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Larivière S, Park BY, Royer J, DeKraker J, Ngo A, Sahlas E, Chen J, Rodríguez-Cruces R, Weng Y, Frauscher B, Liu R, Wang Z, Shafiei G, Mišić B, Bernasconi A, Bernasconi N, Fox MD, Zhang Z, Bernhardt BC. Connectome reorganization associated with temporal lobe pathology and its surgical resection. Brain 2024; 147:2483-2495. [PMID: 38701342 PMCID: PMC11224603 DOI: 10.1093/brain/awae141] [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: 11/20/2023] [Revised: 03/23/2024] [Accepted: 04/05/2024] [Indexed: 05/05/2024] Open
Abstract
Network neuroscience offers a unique framework to understand the organizational principles of the human brain. Despite recent progress, our understanding of how the brain is modulated by focal lesions remains incomplete. Resection of the temporal lobe is the most effective treatment to control seizures in pharmaco-resistant temporal lobe epilepsy (TLE), making this syndrome a powerful model to study lesional effects on network organization in young and middle-aged adults. Here, we assessed the downstream consequences of a focal lesion and its surgical resection on the brain's structural connectome, and explored how this reorganization relates to clinical variables at the individual patient level. We included adults with pharmaco-resistant TLE (n = 37) who underwent anterior temporal lobectomy between two imaging time points, as well as age- and sex-matched healthy controls who underwent comparable imaging (n = 31). Core to our analysis was the projection of high-dimensional structural connectome data-derived from diffusion MRI tractography from each subject-into lower-dimensional gradients. We then compared connectome gradients in patients relative to controls before surgery, tracked surgically-induced connectome reconfiguration from pre- to postoperative time points, and examined associations to patient-specific clinical and imaging phenotypes. Before surgery, individuals with TLE presented with marked connectome changes in bilateral temporo-parietal regions, reflecting an increased segregation of the ipsilateral anterior temporal lobe from the rest of the brain. Surgery-induced connectome reorganization was localized to this temporo-parietal subnetwork, but primarily involved postoperative integration of contralateral regions with the rest of the brain. Using a partial least-squares analysis, we uncovered a latent clinical imaging signature underlying this pre- to postoperative connectome reorganization, showing that patients who displayed postoperative integration in bilateral fronto-occipital cortices also had greater preoperative ipsilateral hippocampal atrophy, lower seizure frequency and secondarily generalized seizures. Our results bridge the effects of focal brain lesions and their surgical resections with large-scale network reorganization and interindividual clinical variability, thus offering new avenues to examine the fundamental malleability of the human brain.
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Affiliation(s)
- Sara Larivière
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Harvard University, Boston, MA 02115, USA
| | - Bo-yong Park
- Department of Data Science, Inha University, Incheon 22212, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon 34126, Republic of Korea
| | - Jessica Royer
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Jordan DeKraker
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Alexander Ngo
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Ella Sahlas
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Judy Chen
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Raúl Rodríguez-Cruces
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Yifei Weng
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - Birgit Frauscher
- Analytical Neurophysiology Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Ruoting Liu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - Zhengge Wang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Golia Shafiei
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bratislav Mišić
- Department of Neurology and Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Andrea Bernasconi
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Neda Bernasconi
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Harvard University, Boston, MA 02115, USA
| | - Zhiqiang Zhang
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
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20
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Vogel JW, Alexander-Bloch AF, Wagstyl K, Bertolero MA, Markello RD, Pines A, Sydnor VJ, Diaz-Papkovich A, Hansen JY, Evans AC, Bernhardt B, Misic B, Satterthwaite TD, Seidlitz J. Deciphering the functional specialization of whole-brain spatiomolecular gradients in the adult brain. Proc Natl Acad Sci U S A 2024; 121:e2219137121. [PMID: 38861593 PMCID: PMC11194492 DOI: 10.1073/pnas.2219137121] [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: 11/08/2022] [Accepted: 04/27/2024] [Indexed: 06/13/2024] Open
Abstract
Cortical arealization arises during neurodevelopment from the confluence of molecular gradients representing patterned expression of morphogens and transcription factors. However, whether similar gradients are maintained in the adult brain remains unknown. Here, we uncover three axes of topographic variation in gene expression in the adult human brain that specifically capture previously identified rostral-caudal, dorsal-ventral, and medial-lateral axes of early developmental patterning. The interaction of these spatiomolecular gradients i) accurately reconstructs the position of brain tissue samples, ii) delineates known functional territories, and iii) can model the topographical variation of diverse cortical features. The spatiomolecular gradients are distinct from canonical cortical axes differentiating the primary sensory cortex from the association cortex, but radiate in parallel with the axes traversed by local field potentials along the cortex. We replicate all three molecular gradients in three independent human datasets as well as two nonhuman primate datasets and find that each gradient shows a distinct developmental trajectory across the lifespan. The gradients are composed of several well-known transcription factors (e.g., PAX6 and SIX3), and a small set of genes shared across gradients are strongly enriched for multiple diseases. Together, these results provide insight into the developmental sculpting of functionally distinct brain regions, governed by three robust transcriptomic axes embedded within brain parenchyma.
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Affiliation(s)
- Jacob W. Vogel
- Department of Clinical Sciences Malmö, SciLifeLab, Lund University, Lund, Sweden202 13
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA19104
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
| | - Aaron F. Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA19104
- Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA19104
| | - Konrad Wagstyl
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, LondonWC1N 3AR, United Kingdom
| | - Maxwell A. Bertolero
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA19104
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
| | - Ross D. Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QCH3A 2B4, Canada
| | - Adam Pines
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA19104
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA94305
| | - Valerie J. Sydnor
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA19104
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
| | - Alex Diaz-Papkovich
- Quantitative Life Sciences, McGill University, Montreal, QCH3A 1E3, Canada
- McGill Genome Centre, McGill University, Montreal, QCH3A 0G1, Canada
| | - Justine Y. Hansen
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QCH3A 2B4, Canada
| | - Alan C. Evans
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QCH3A 2B4, Canada
| | - Boris Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QCH3A 2B4, Canada
| | - Bratislav Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QCH3A 2B4, Canada
| | - Theodore D. Satterthwaite
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA19104
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
- Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA19104
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA19104
- Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA19104
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21
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Ottoy J, Kang MS, Tan JXM, Boone L, Vos de Wael R, Park BY, Bezgin G, Lussier FZ, Pascoal TA, Rahmouni N, Stevenson J, Fernandez Arias J, Therriault J, Hong SJ, Stefanovic B, McLaurin J, Soucy JP, Gauthier S, Bernhardt BC, Black SE, Rosa-Neto P, Goubran M. Tau follows principal axes of functional and structural brain organization in Alzheimer's disease. Nat Commun 2024; 15:5031. [PMID: 38866759 PMCID: PMC11169286 DOI: 10.1038/s41467-024-49300-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 05/24/2024] [Indexed: 06/14/2024] Open
Abstract
Alzheimer's disease (AD) is a brain network disorder where pathological proteins accumulate through networks and drive cognitive decline. Yet, the role of network connectivity in facilitating this accumulation remains unclear. Using in-vivo multimodal imaging, we show that the distribution of tau and reactive microglia in humans follows spatial patterns of connectivity variation, the so-called gradients of brain organization. Notably, less distinct connectivity patterns ("gradient contraction") are associated with cognitive decline in regions with greater tau, suggesting an interaction between reduced network differentiation and tau on cognition. Furthermore, by modeling tau in subject-specific gradient space, we demonstrate that tau accumulation in the frontoparietal and temporo-occipital cortices is associated with greater baseline tau within their functionally and structurally connected hubs, respectively. Our work unveils a role for both functional and structural brain organization in pathology accumulation in AD, and supports subject-specific gradient space as a promising tool to map disease progression.
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Affiliation(s)
- Julie Ottoy
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Min Su Kang
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | - Lyndon Boone
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Reinder Vos de Wael
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Bo-Yong Park
- Department of Data Science, Inha University, Incheon, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Gleb Bezgin
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
- Neuroinformatics for Personalized Medicine lab, Montreal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Firoza Z Lussier
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tharick A Pascoal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nesrine Rahmouni
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Jenna Stevenson
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Jaime Fernandez Arias
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Joseph Therriault
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Seok-Jun Hong
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Bojana Stefanovic
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - JoAnne McLaurin
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Biological Sciences Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Jean-Paul Soucy
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Serge Gauthier
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Boris C Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Sandra E Black
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Medicine (Division of Neurology), University of Toronto, Toronto, ON, Canada
| | - Pedro Rosa-Neto
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
- Translational Neuroimaging laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Maged Goubran
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
- Physical Sciences Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.
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22
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Kember J, Patenaude P, Sweatman H, Van Schaik L, Tabuenca Z, Chai XJ. Specialization of anterior and posterior hippocampal functional connectivity differs in autism. Autism Res 2024; 17:1126-1139. [PMID: 38770780 DOI: 10.1002/aur.3170] [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: 01/11/2024] [Accepted: 05/10/2024] [Indexed: 05/22/2024]
Abstract
Structural and functional differences in the hippocampus have been related to the episodic memory and social impairments observed in autism spectrum disorder (ASD). In neurotypical individuals, hippocampal-cortical functional connectivity systematically varies between anterior and posterior hippocampus, with changes observed during typical development. It remains unknown whether this specialization of anterior-posterior hippocampal connectivity is disrupted in ASD, and whether age-related differences in this specialization exist in ASD. We examined connectivity of the anterior and posterior hippocampus in an ASD (N = 139) and non-autistic comparison group (N = 133) aged 5-21 using resting-state functional magnetic resonance imaging (MRI) data from the Healthy Brain Network (HBN). Consistent with previous results, we observed lower connectivity between the whole hippocampus and medial prefrontal cortex in ASD. Moreover, preferential connectivity of the posterior relative to the anterior hippocampus for memory-sensitive regions in posterior parietal cortex was reduced in ASD, demonstrating a weaker anterior-posterior specialization of hippocampal-cortical connectivity. Finally, connectivity between the posterior hippocampus and precuneus negatively correlated with age in the ASD group but remained stable in the comparison group, suggesting an altered developmental specialization. Together, these differences in hippocampal-cortical connectivity may help us understand the neurobiological basis of the memory and social impairments found in ASD.
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Affiliation(s)
- J Kember
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - P Patenaude
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - H Sweatman
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - L Van Schaik
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Z Tabuenca
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
- Department of Statistics, University of Zaragoza, Zaragoza, Spain
| | - X J Chai
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
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23
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Waddington EE, Allison DJ, Calabrese EM, Pekos C, Lee A, Walsh JJ, Heisz JJ. Orienteering combines vigorous-intensity exercise with navigation to improve human cognition and increase brain-derived neurotrophic factor. PLoS One 2024; 19:e0303785. [PMID: 38776348 PMCID: PMC11111042 DOI: 10.1371/journal.pone.0303785] [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: 11/08/2023] [Accepted: 04/30/2024] [Indexed: 05/24/2024] Open
Abstract
Exercise enhances aspects of human cognition, but its intensity may matter. Recent animal research suggests that vigorous exercise, which releases greater amounts of lactate, activates more brain-derived neurotrophic factor (BDNF) in the hippocampus and, thus, may be optimal for supporting cognitive function. The cognitive benefits of exercise may be further augmented when combined with cognitive training. The sport of orienteering simultaneously combines exercise with spatial navigation and, therefore, may result in greater cognitive benefits than exercising only, especially at vigorous intensities. The present study aimed to examine the effects of an acute bout of orienteering at different intensities on cognition and BDNF compared to exercising only. We hypothesized that vigorous-intensity orienteering would increase lactate and BDNF and improve cognition more than moderate-intensity orienteering or vigorous exercise alone. Sixty-three recreationally active, healthy young adults (Mage = 21.10±2.75 years) with no orienteering experience completed a 1.3 km intervention course by navigating and exercising at a vigorous (80-85% of heart rate reserve) or moderate (40-50% of heart rate reserve) intensity or exercising vigorously without navigation. Exercise intensity was monitored using peak lactate, heart rate and rating of perceived exertion. Serum BDNF was extracted immediately before and after the intervention. Memory was assessed using the Mnemonic Similarity Task (high-interference memory) and the Groton Maze Learning Test (spatial memory). Both exercising and orienteering at a vigorous intensity elicited greater peak lactate and increases in BDNF than moderate-intensity orienteering, and individuals with higher peak lactate also had greater increases in BDNF. High-interference memory improved after both vigorous-intensity interventions but did not improve after the moderate-intensity intervention. Spatial memory only increased after vigorous-intensity orienteering, suggesting that orienteering at a vigorous intensity may particularly benefit spatial cognition. Overall, the results demonstrate the benefits of vigorous exercise on human cognition and BDNF.
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Affiliation(s)
- Emma E. Waddington
- Department of Kinesiology, Faculty of Science, McMaster University, Hamilton, Ontario, Canada
| | - David J. Allison
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Emilie M. Calabrese
- Department of Kinesiology, Faculty of Science, McMaster University, Hamilton, Ontario, Canada
| | - Cara Pekos
- Department of Kinesiology, Faculty of Science, McMaster University, Hamilton, Ontario, Canada
| | - Adrienne Lee
- Department of Kinesiology, Faculty of Science, McMaster University, Hamilton, Ontario, Canada
| | - Jeremy J. Walsh
- Department of Kinesiology, Faculty of Science, McMaster University, Hamilton, Ontario, Canada
| | - Jennifer J. Heisz
- Department of Kinesiology, Faculty of Science, McMaster University, Hamilton, Ontario, Canada
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24
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Zhen C, Shi Y, Wang W, Zhou G, Li H, Lin G, Wang F, Tang B, Li X. Advancements in gradient bone scaffolds: enhancing bone regeneration in the treatment of various bone disorders. Biofabrication 2024; 16:032004. [PMID: 38688259 DOI: 10.1088/1758-5090/ad4595] [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: 11/28/2023] [Accepted: 04/30/2024] [Indexed: 05/02/2024]
Abstract
Bone scaffolds are widely employed for treating various bone disorders, including defects, fractures, and accidents. Gradient bone scaffolds present a promising approach by incorporating gradients in shape, porosity, density, and other properties, mimicking the natural human body structure. This design offers several advantages over traditional scaffolds. A key advantage is the enhanced matching of human tissue properties, facilitating cell adhesion and migration. Furthermore, the gradient structure fosters a smooth transition between scaffold and surrounding tissue, minimizing the risk of inflammation or rejection. Mechanical stability is also improved, providing better support for bone regeneration. Additionally, gradient bone scaffolds can integrate drug delivery systems, enabling controlled release of drugs or growth factors to promote specific cellular activities during the healing process. This comprehensive review examines the design aspects of gradient bone scaffolds, encompassing structure and drug delivery capabilities. By optimizing the scaffold's inherent advantages through gradient design, bone regeneration outcomes can be improved. The insights presented in this article contribute to the academic understanding of gradient bone scaffolds and their applications in bone tissue engineering.
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Affiliation(s)
- Chengdong Zhen
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
- Shandong Institute of Mechanical Design and Research, Jinan 250031, People's Republic of China
| | - Yanbin Shi
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
- Shandong Institute of Mechanical Design and Research, Jinan 250031, People's Republic of China
- School of Arts and Design, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
| | - Wenguang Wang
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
- Shandong Institute of Mechanical Design and Research, Jinan 250031, People's Republic of China
| | - Guangzhen Zhou
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
- Shandong Institute of Mechanical Design and Research, Jinan 250031, People's Republic of China
| | - Heng Li
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
- Shandong Institute of Mechanical Design and Research, Jinan 250031, People's Republic of China
| | - Guimei Lin
- School of Pharmaceutical Science, Shandong University, Jinan 250012, People's Republic of China
| | - Fei Wang
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
- Shandong Institute of Mechanical Design and Research, Jinan 250031, People's Republic of China
| | - Bingtao Tang
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
- Shandong Institute of Mechanical Design and Research, Jinan 250031, People's Republic of China
| | - Xuelin Li
- School of Arts and Design, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
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25
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Rocca P, Brasso C, Montemagni C, Del Favero E, Bellino S, Bozzatello P, Giordano GM, Caporusso E, Fazio L, Pergola G, Blasi G, Amore M, Calcagno P, Rossi R, Rossi A, Bertolino A, Galderisi S, Maj M. The relationship between the resting state functional connectivity and social cognition in schizophrenia: Results from the Italian Network for Research on Psychoses. Schizophr Res 2024; 267:330-340. [PMID: 38613864 DOI: 10.1016/j.schres.2024.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 03/24/2024] [Accepted: 04/04/2024] [Indexed: 04/15/2024]
Abstract
Deficits in social cognition (SC) interfere with recovery in schizophrenia (SZ) and may be related to resting state brain connectivity. This study aimed at assessing the alterations in the relationship between resting state functional connectivity and the social-cognitive abilities of patients with SZ compared to healthy subjects. We divided the brain into 246 regions of interest (ROI) following the Human Healthy Volunteers Brainnetome Atlas. For each participant, we calculated the resting-state functional connectivity (rsFC) in terms of degree centrality (DC), which evaluates the total strength of the most powerful coactivations of every ROI with all other ROIs during rest. The rs-DC of the ROIs was correlated with five measures of SC assessing emotion processing and mentalizing in 45 healthy volunteers (HVs) chosen as a normative sample. Then, controlling for symptoms severity, we verified whether these significant associations were altered, i.e., absent or of opposite sign, in 55 patients with SZ. We found five significant differences between SZ patients and HVs: in the patients' group, the correlations between emotion recognition tasks and rsFC of the right entorhinal cortex (R-EC), left superior parietal lobule (L-SPL), right caudal hippocampus (R-c-Hipp), and the right caudal (R-c) and left rostral (L-r) middle temporal gyri (MTG) were lost. An altered resting state functional connectivity of the L-SPL, R-EC, R-c-Hipp, and bilateral MTG in patients with SZ may be associated with impaired emotion recognition. If confirmed, these results may enhance the development of non-invasive brain stimulation interventions targeting those cerebral regions to reduce SC deficit in SZ.
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Affiliation(s)
- Paola Rocca
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Claudio Brasso
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy.
| | - Cristiana Montemagni
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Elisa Del Favero
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Silvio Bellino
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Paola Bozzatello
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Giulia Maria Giordano
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
| | - Edoardo Caporusso
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
| | - Leonardo Fazio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy; Department of Medicine and Surgery, LUM University, Strada Statale 100, 70010 Casamassima (BA), Italy
| | - Giulio Pergola
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy
| | - Giuseppe Blasi
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy
| | - Mario Amore
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Largo Paolo Daneo, 3, 16132 Genoa, Italy
| | - Pietro Calcagno
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Largo Paolo Daneo, 3, 16132 Genoa, Italy
| | - Rodolfo Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, via Vetoio - Coppito, 67100 L'Aquila, Italy; Policlinico Tor Vergata, Viale Oxford, 81, 00133 Rome, Italy
| | - Alessandro Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, via Vetoio - Coppito, 67100 L'Aquila, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
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26
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Ohm DT, Xie SX, Capp N, Arezoumandan S, Cousins KAQ, Rascovsky K, Wolk DA, Van Deerlin VM, Lee EB, McMillan CT, Irwin DJ. Cytoarchitectonic gradients of laminar degeneration in behavioral variant frontotemporal dementia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.05.588259. [PMID: 38644997 PMCID: PMC11030243 DOI: 10.1101/2024.04.05.588259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is a clinical syndrome primarily caused by either tau (bvFTD-tau) or TDP-43 (bvFTD-TDP) proteinopathies. We previously found lower cortical layers and dorsolateral regions accumulate greater tau than TDP-43 pathology; however, patterns of laminar neurodegeneration across diverse cytoarchitecture in bvFTD is understudied. We hypothesized that bvFTD-tau and bvFTD-TDP have distinct laminar distributions of pyramidal neurodegeneration along cortical gradients, a topologic order of cytoarchitectonic subregions based on increasing pyramidal density and laminar differentiation. Here, we tested this hypothesis in a frontal cortical gradient consisting of five cytoarchitectonic types (i.e., periallocortex, agranular mesocortex, dysgranular mesocortex, eulaminate-I isocortex, eulaminate-II isocortex) spanning anterior cingulate, paracingulate, orbitofrontal, and mid-frontal gyri in bvFTD-tau (n=27), bvFTD-TDP (n=47), and healthy controls (HC; n=32). We immunostained all tissue for total neurons (NeuN; neuronal-nuclear protein) and pyramidal neurons (SMI32; non-phosphorylated neurofilament) and digitally quantified NeuN-immunoreactivity (ir) and SMI32-ir in supragranular II-III, infragranular V-VI, and all I-VI layers in each cytoarchitectonic type. We used linear mixed-effects models adjusted for demographic and biologic variables to compare SMI32-ir between groups and examine relationships with the cortical gradient, long-range pathways, and clinical symptoms. We found regional and laminar distributions of SMI32-ir expected for HC, validating our measures within the cortical gradient framework. While SMI32-ir loss was not related to the cortical gradient in bvFTD-TDP, SMI32-ir progressively decreased along the cortical gradient of bvFTD-tau and included greater SMI32-ir loss in supragranular eulaminate-II isocortex in bvFTD-tau vs bvFTD-TDP ( p =0.039). In a structural model for long-range laminar connectivity between infragranular mesocortex and supragranular isocortex, we found a larger laminar ratio of mesocortex-to-isocortex SMI32-ir in bvFTD-tau vs bvFTD-TDP ( p =0.019), suggesting select long-projecting pathways may contribute to isocortical-predominant degeneration in bvFTD-tau. In cytoarchitectonic types with the highest NeuN-ir, we found lower SMI32-ir in bvFTD-tau vs bvFTD-TDP ( p =0.047), suggesting pyramidal neurodegeneration may occur earlier in bvFTD-tau. Lastly, we found that reduced SMI32-ir related to behavioral severity and frontal-mediated letter fluency, not temporal-mediated confrontation naming, demonstrating the clinical relevance and specificity of frontal pyramidal neurodegeneration to bvFTD-related symptoms. Our data suggest loss of neurofilament-rich pyramidal neurons is a clinically relevant feature of bvFTD that selectively worsens along a frontal cortical gradient in bvFTD-tau, not bvFTD-TDP. Therefore, tau-mediated degeneration may preferentially involve pyramidal-rich layers that connect more distant cytoarchitectonic types. Moreover, the hierarchical arrangement of cytoarchitecture along cortical gradients may be an important neuroanatomical framework for identifying which types of cells and pathways are differentially involved between proteinopathies.
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27
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Wang Y, Wang Y, Wang H, Ma L, Eickhoff SB, Madsen KH, Chu C, Fan L. Spatio-molecular profiles shape the human cerebellar hierarchy along the sensorimotor-association axis. Cell Rep 2024; 43:113770. [PMID: 38363683 DOI: 10.1016/j.celrep.2024.113770] [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: 09/26/2023] [Revised: 12/27/2023] [Accepted: 01/25/2024] [Indexed: 02/18/2024] Open
Abstract
Cerebellar involvement in both motor and non-motor functions manifests in specific regions of the human cerebellum, revealing the functional heterogeneity within it. One compelling theory places the heterogeneity within the cerebellar functional hierarchy along the sensorimotor-association (SA) axis. Despite extensive neuroimaging studies, evidence for the cerebellar SA axis from different modalities and scales was lacking. Thus, we establish a significant link between the cerebellar SA axis and spatio-molecular profiles. Utilizing the gene set variation analysis, we find the intermediate biological principles the significant genes leveraged to scaffold the cerebellar SA axis. Interestingly, we find these spatio-molecular profiles notably associated with neuropsychiatric dysfunction and recent evolution. Furthermore, cerebello-cerebral interactions at genetic and functional connectivity levels mirror the cerebral cortex and cerebellum's SA axis. These findings can provide a deeper understanding of how the human cerebellar SA axis is shaped and its role in transitioning from sensorimotor to association functions.
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Affiliation(s)
- Yaping Wang
- Sino-Danish Center, University of Chinese Academy of Sciences, Beijing 100190, China; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Yufan Wang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Haiyan Wang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Liang Ma
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, 52425 Jülich, Germany; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Kristoffer Hougaard Madsen
- Sino-Danish Center, University of Chinese Academy of Sciences, Beijing 100190, China; Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, 2650 Hvidovre, Denmark
| | - Congying Chu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
| | - Lingzhong Fan
- Sino-Danish Center, University of Chinese Academy of Sciences, Beijing 100190, China; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao 266000, China.
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28
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Read ML, Berry SC, Graham KS, Voets NL, Zhang J, Aggleton JP, Lawrence AD, Hodgetts CJ. Scene-selectivity in CA1/subicular complex: Multivoxel pattern analysis at 7T. Neuropsychologia 2024; 194:108783. [PMID: 38161052 DOI: 10.1016/j.neuropsychologia.2023.108783] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 12/21/2023] [Accepted: 12/27/2023] [Indexed: 01/03/2024]
Abstract
Prior univariate functional magnetic resonance imaging (fMRI) studies in humans suggest that the anteromedial subicular complex of the hippocampus is a hub for scene-based cognition. However, it is possible that univariate approaches were not sufficiently sensitive to detect scene-related activity in other subfields that have been implicated in spatial processing (e.g., CA1). Further, as connectivity-based functional gradients in the hippocampus do not respect classical subfield boundary definitions, category selectivity may be distributed across anatomical subfields. Region-of-interest approaches, therefore, may limit our ability to observe category selectivity across discrete subfield boundaries. To address these issues, we applied searchlight multivariate pattern analysis to 7T fMRI data of healthy adults who undertook a simultaneous visual odd-one-out discrimination task for scene and non-scene (including face) visual stimuli, hypothesising that scene classification would be possible in multiple hippocampal regions within, but not constrained to, anteromedial subicular complex and CA1. Indeed, we found that the scene-selective searchlight map overlapped not only with anteromedial subicular complex (distal subiculum, pre/para subiculum), but also inferior CA1, alongside posteromedial (including retrosplenial) and parahippocampal cortices. Probabilistic overlap maps revealed gradients of scene category selectivity, with the strongest overlap located in the medial hippocampus, converging with searchlight findings. This was contrasted with gradients of face category selectivity, which had stronger overlap in more lateral hippocampus, supporting ideas of parallel processing streams for these two categories. Our work helps to map the scene, in contrast to, face processing networks within, and connected to, the human hippocampus.
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Affiliation(s)
- Marie-Lucie Read
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Samuel C Berry
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK; Department of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK
| | - Kim S Graham
- School of Philosophy, Psychology and Language Sciences, Dugald Stewart Building, University of Edinburgh, 3 Charles Street, Edinburgh, EH8 9AD, UK
| | - Natalie L Voets
- Wellcome Centre for Integrative Neuroimaging, FMRIB Building, John Radcliffe Hospital, Oxford, OX3 9DU2, UK
| | - Jiaxiang Zhang
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK; School of Mathematics and Computer Science, Swansea University, Swansea SA1 8DD, UK
| | - John P Aggleton
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Andrew D Lawrence
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK; School of Philosophy, Psychology and Language Sciences, Dugald Stewart Building, University of Edinburgh, 3 Charles Street, Edinburgh, EH8 9AD, UK
| | - Carl J Hodgetts
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK; Department of Psychology, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.
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29
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Liu X, Guo J, Jiang Z, Liu X, Chen H, Zhang Y, Wang J, Liu C, Gao Q, Chen H. Compressed cerebellar functional connectome hierarchy in spinocerebellar ataxia type 3. Hum Brain Mapp 2024; 45:e26624. [PMID: 38376240 PMCID: PMC10878347 DOI: 10.1002/hbm.26624] [Citation(s) in RCA: 3] [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: 12/07/2022] [Revised: 01/27/2024] [Accepted: 01/29/2024] [Indexed: 02/21/2024] Open
Abstract
Spinocerebellar ataxia type 3 (SCA3) is an inherited movement disorder characterized by a progressive decline in motor coordination. Despite the extensive functional connectivity (FC) alterations reported in previous SCA3 studies in the cerebellum and cerebellar-cerebral pathways, the influence of these FC disturbances on the hierarchical organization of cerebellar functional regions remains unclear. Here, we compared 35 SCA3 patients with 48 age- and sex-matched healthy controls using a combination of voxel-based morphometry and resting-state functional magnetic resonance imaging to investigate whether cerebellar hierarchical organization is altered in SCA3. Utilizing connectome gradients, we identified the gradient axis of cerebellar hierarchical organization, spanning sensorimotor to transmodal (task-unfocused) regions. Compared to healthy controls, SCA3 patients showed a compressed hierarchical organization in the cerebellum at both voxel-level (p < .05, TFCE corrected) and network-level (p < .05, FDR corrected). This pattern was observed in both intra-cerebellar and cerebellar-cerebral gradients. We observed that decreased intra-cerebellar gradient scores in bilateral Crus I/II both negatively correlated with SARA scores (left/right Crus I/II: r = -.48/-.50, p = .04/.04, FDR corrected), while increased cerebellar-cerebral gradients scores in the vermis showed a positive correlation with disease duration (r = .48, p = .04, FDR corrected). Control analyses of cerebellar gray matter atrophy revealed that gradient alterations were associated with cerebellar volume loss. Further FC analysis showed increased functional connectivity in both unimodal and transmodal areas, potentially supporting the disrupted cerebellar functional hierarchy uncovered by the gradients. Our findings provide novel evidence regarding alterations in the cerebellar functional hierarchy in SCA3.
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Affiliation(s)
- Xinyuan Liu
- Department of Radiology, Southwest HospitalArmy Medical University (Third Military Medical University)ChongqingChina
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
- MOE Key Lab for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan ProvinceUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Jing Guo
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
- MOE Key Lab for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan ProvinceUniversity of Electronic Science and Technology of ChinaChengduChina
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Zhouyu Jiang
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
- MOE Key Lab for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan ProvinceUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Xingli Liu
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
- MOE Key Lab for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan ProvinceUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Hui Chen
- Department of Radiology, Southwest HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Yuhan Zhang
- Department of Radiology, Southwest HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Jian Wang
- Department of Radiology, Southwest HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Chen Liu
- Department of Radiology, Southwest HospitalArmy Medical University (Third Military Medical University)ChongqingChina
| | - Qing Gao
- MOE Key Lab for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan ProvinceUniversity of Electronic Science and Technology of ChinaChengduChina
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Huafu Chen
- Department of Radiology, Southwest HospitalArmy Medical University (Third Military Medical University)ChongqingChina
- School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
- MOE Key Lab for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan ProvinceUniversity of Electronic Science and Technology of ChinaChengduChina
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
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30
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McHugo M, Roeske MJ, Vandekar SN, Armstrong K, Avery SN, Heckers S. Smaller anterior hippocampal subfields in the early stage of psychosis. Transl Psychiatry 2024; 14:69. [PMID: 38296964 PMCID: PMC10830481 DOI: 10.1038/s41398-023-02719-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/07/2023] [Accepted: 12/15/2023] [Indexed: 02/02/2024] Open
Abstract
Hippocampal volume is smaller in schizophrenia, but it is unclear when in the illness the changes appear and whether specific regions (anterior, posterior) and subfields (CA1, CA2/3, dentate gyrus, subiculum) are affected. Here, we used a high-resolution T2-weighted sequence specialized for imaging hippocampal subfields to test the hypothesis that anterior CA1 volume is lower in early psychosis. We measured subfield volumes across hippocampal regions in a group of 90 individuals in the early stage of a non-affective psychotic disorder and 70 demographically similar healthy individuals. We observed smaller volume in the anterior CA1 and dentate gyrus subfields in the early psychosis group. Our findings support models that implicate anterior CA1 and dentate gyrus subfield deficits in the mechanism of psychosis.
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Affiliation(s)
- Maureen McHugo
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Maxwell J Roeske
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Simon N Vandekar
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kristan Armstrong
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Suzanne N Avery
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
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Pine JG, Agrawal A, Bogdan R, Kandala S, Cooper S, Barch DM. Shared and unique heritability of hippocampal subregion volumes in children and adults. Neuroimage 2024; 285:120471. [PMID: 38007188 DOI: 10.1016/j.neuroimage.2023.120471] [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: 10/01/2023] [Revised: 11/16/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023] Open
Abstract
Behavioral genetic analyses have not demonstrated robust, unique, genetic correlates of hippocampal subregion volume. Genetic differentiation of hippocampal longitudinal axis subregion volume has not yet been investigated in population-based samples, although this has been demonstrated in rodent and post-mortem human tissue work. The following study is the first population-based investigation of genetic factors that contribute to gray matter volume along the hippocampal longitudinal axis. Twin-based biometric analyses demonstrated that longitudinal axis subregions are associated with significant, unique, genetic variance, and that longitudinal axis subregions are also associated with significant shared, hippocampus-general, genetic factors. Our study's findings suggest that genetic differences in hippocampal longitudinal axis structure can be detected in individual differences in gray matter volume in population-level research designs.
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Affiliation(s)
- Jacob G Pine
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, United States of America.
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America
| | - Ryan Bogdan
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, United States of America
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America
| | - Shelly Cooper
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, United States of America
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, United States of America; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States of America
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Ortega-Cruz D, Bress KS, Gazula H, Rabano A, Iglesias JE, Strange BA. Three-dimensional histology reveals dissociable human hippocampal long axis gradients of Alzheimer's pathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.05.570038. [PMID: 38105985 PMCID: PMC10723286 DOI: 10.1101/2023.12.05.570038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
INTRODUCTION Three-dimensional (3D) histology analyses are essential to overcome sampling variability and understand pathological differences beyond the dissection axis. We present Path2MR, the first pipeline allowing 3D reconstruction of sparse human histology without an MRI reference. We implemented Path2MR with post-mortem hippocampal sections to explore pathology gradients in Alzheimer's Disease. METHODS Blockface photographs of brain hemisphere slices are used for 3D reconstruction, from which an MRI-like image is generated using machine learning. Histology sections are aligned to the reconstructed hemisphere and subsequently to an atlas in standard space. RESULTS Path2MR successfully registered histological sections to their anatomical position along the hippocampal longitudinal axis. Combined with histopathology quantification, we found an expected peak of tau pathology at the anterior end of the hippocampus, while amyloid-β displayed a quadratic anterior-posterior distribution. CONCLUSION Path2MR, which enables 3D histology using any brain bank dataset, revealed significant differences along the hippocampus between tau and amyloid-β.
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Affiliation(s)
- Diana Ortega-Cruz
- Laboratory for Clinical Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, 28223, Madrid, Spain
- Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, 28031, Madrid, Spain
| | - Kimberly S Bress
- Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, 28031, Madrid, Spain
- Current address: Vanderbilt University School of Medicine, 37232, Nashville, TN, USA
| | - Harshvardhan Gazula
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 02129, Boston, MA, USA
| | - Alberto Rabano
- Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, 28031, Madrid, Spain
| | - Juan Eugenio Iglesias
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 02129, Boston, MA, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 02139, Boston, MA, USA
- Centre for Medical Image Computing, University College London, WC1V 6LJ, London, United Kingdom
| | - Bryan A Strange
- Laboratory for Clinical Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, 28223, Madrid, Spain
- Alzheimer's Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Center, 28031, Madrid, Spain
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DeKraker J, Palomero-Gallagher N, Kedo O, Ladbon-Bernasconi N, Muenzing SEA, Axer M, Amunts K, Khan AR, Bernhardt BC, Evans AC. Evaluation of surface-based hippocampal registration using ground-truth subfield definitions. eLife 2023; 12:RP88404. [PMID: 37956092 PMCID: PMC10642966 DOI: 10.7554/elife.88404] [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] [Indexed: 11/15/2023] Open
Abstract
The hippocampus is an archicortical structure, consisting of subfields with unique circuits. Understanding its microstructure, as proxied by these subfields, can improve our mechanistic understanding of learning and memory and has clinical potential for several neurological disorders. One prominent issue is how to parcellate, register, or retrieve homologous points between two hippocampi with grossly different morphologies. Here, we present a surface-based registration method that solves this issue in a contrast-agnostic, topology-preserving manner. Specifically, the entire hippocampus is first analytically unfolded, and then samples are registered in 2D unfolded space based on thickness, curvature, and gyrification. We demonstrate this method in seven 3D histology samples and show superior alignment with respect to subfields using this method over more conventional registration approaches.
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Affiliation(s)
- Jordan DeKraker
- Montreal Neurological Institute and Hospital, McGill UniversityMontrealCanada
| | - Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine INM-1, Research Centre JülichJülichGermany
- C. & O. Vogt Institute for Brain Research, University Hospital Düsseldorf, Heinrich-Heine-UniversityDüsseldorfGermany
| | - Olga Kedo
- Institute of Neuroscience and Medicine INM-1, Research Centre JülichJülichGermany
| | | | - Sascha EA Muenzing
- Institute of Neuroscience and Medicine INM-1, Research Centre JülichJülichGermany
| | - Markus Axer
- Institute of Neuroscience and Medicine INM-1, Research Centre JülichJülichGermany
| | - Katrin Amunts
- Institute of Neuroscience and Medicine INM-1, Research Centre JülichJülichGermany
- C. & O. Vogt Institute for Brain Research, University Hospital Düsseldorf, Heinrich-Heine-UniversityDüsseldorfGermany
| | - Ali R Khan
- Robarts Research Institute, University of Western OntarioLondonCanada
| | - Boris C Bernhardt
- Montreal Neurological Institute and Hospital, McGill UniversityMontrealCanada
| | - Alan C Evans
- Montreal Neurological Institute and Hospital, McGill UniversityMontrealCanada
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Thomas M, Whittle S, Tian YE, van Rheenen TE, Zalesky A, Cropley VL. Pathways from threat exposure to psychotic symptoms in youth: The role of emotion recognition bias and brain structure. Schizophr Res 2023; 261:304-313. [PMID: 37898031 DOI: 10.1016/j.schres.2023.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/21/2023] [Accepted: 10/11/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND Research supports an association between threatening experiences in childhood and psychosis. It is possible that early threat exposure disrupts the development of emotion recognition (specifically, producing a bias for facial expressions relating to threat) and the brain structures subserving it, contributing to psychosis development. METHODS Using data from the Philadelphia Neurodevelopmental Cohort, we examined associations between threat exposure and both the misattribution of facial expressions to fear/anger in an emotion recognition task, and gray matter volumes in key emotion processing regions. Our sample comprised youth with psychosis spectrum symptoms (N = 304), control youth (N = 787), and to evaluate specificity, youth with internalizing symptoms (N = 92). The moderating effects of group and sex were examined. RESULTS Both the psychosis spectrum and internalizing groups had higher levels of threat exposure than controls. In the total sample, threat exposure was associated with lower left medial prefrontal cortex (mPFC) volume but not misattributions to fear/anger. The effects of threat exposure did not significantly differ by group or sex. CONCLUSIONS The findings of this study provide evidence for an effect of threat exposure on mPFC morphology, but do not support an association between threat exposure and a recognition bias for threat-related expressions, that is particularly pronounced in psychosis. Future research should investigate factors linking transdiagnostic alterations related to threat exposure with psychotic symptoms, and attempt to clarify the mechanisms underpinning emotion recognition misattributions in threat-exposed youth.
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Affiliation(s)
- Megan Thomas
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, Australia.
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, Australia
| | - Ye E Tian
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, Australia
| | - Tamsyn E van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, Australia; Centre for Mental Health, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, Australia
| | - Vanessa L Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, Australia
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Pasquini L, Pereira FL, Seddighi S, Zeng Y, Wei Y, Illán-Gala I, Vatsavayai SC, Friedberg A, Lee AJ, Brown JA, Spina S, Grinberg LT, Sirkis DW, Bonham LW, Yokoyama JS, Boxer AL, Kramer JH, Rosen HJ, Humphrey J, Gitler AD, Miller BL, Pollard KS, Ward ME, Seeley WW. FTLD targets brain regions expressing recently evolved genes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.27.23297687. [PMID: 37961381 PMCID: PMC10635220 DOI: 10.1101/2023.10.27.23297687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
In frontotemporal lobar degeneration (FTLD), pathological protein aggregation is associated with a decline in human-specialized social-emotional and language functions. Most disease protein aggregates contain either TDP-43 (FTLD-TDP) or tau (FTLD-tau). Here, we explored whether FTLD targets brain regions that express genes containing human accelerated regions (HARs), conserved sequences that have undergone positive selection during recent human evolution. To this end, we used structural neuroimaging from patients with FTLD and normative human regional transcriptomic data to identify genes expressed in FTLD-targeted brain regions. We then integrated primate comparative genomic data to test our hypothesis that FTLD targets brain regions expressing recently evolved genes. In addition, we asked whether genes expressed in FTLD-targeted brain regions are enriched for genes that undergo cryptic splicing when TDP-43 function is impaired. We found that FTLD-TDP and FTLD-tau subtypes target brain regions that express overlapping and distinct genes, including many linked to neuromodulatory functions. Genes whose normative brain regional expression pattern correlated with FTLD cortical atrophy were strongly associated with HARs. Atrophy-correlated genes in FTLD-TDP showed greater overlap with TDP-43 cryptic splicing genes compared with atrophy-correlated genes in FTLD-tau. Cryptic splicing genes were enriched for HAR genes, and vice versa, but this effect was due to the confounding influence of gene length. Analyses performed at the individual-patient level revealed that the expression of HAR genes and cryptically spliced genes within putative regions of disease onset differed across FTLD-TDP subtypes. Overall, our findings suggest that FTLD targets brain regions that have undergone recent evolutionary specialization and provide intriguing potential leads regarding the transcriptomic basis for selective vulnerability in distinct FTLD molecular-anatomical subtypes.
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Affiliation(s)
- Lorenzo Pasquini
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
- Department of Neurology, Neuroscape, University of California, San Francisco, CA, USA
| | - Felipe L Pereira
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Sahba Seddighi
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Yi Zeng
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Yongbin Wei
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Ignacio Illán-Gala
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA and Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute, Universitat Autònoma de Barcelona, Barcelona, Catalunya, Spain
| | - Sarat C Vatsavayai
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Adit Friedberg
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA and Trinity College Dublin, Dublin, Ireland
| | - Alex J Lee
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Jesse A Brown
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Salvatore Spina
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Lea T Grinberg
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, CA, USA
| | - Daniel W Sirkis
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Luke W Bonham
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
- Department of Radiology, University of California, San Francisco, CA, USA
| | - Jennifer S Yokoyama
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
- Department of Radiology, University of California, San Francisco, CA, USA
| | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Joel H Kramer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Jack Humphrey
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aaron D Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Katherine S Pollard
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics and Bakar Institute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Michael E Ward
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - William W Seeley
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, CA, USA
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Alexandrovich YV, Antonov EV, Shikhevich SG, Kharlamova AV, Meister LV, Makovka YV, Shepeleva DV, Gulevich RG, Herbeck YE. The expression profile of genes associated with behavior, stress, and adult neurogenesis along the hippocampal dorsoventral axis in tame and aggressive foxes. Vavilovskii Zhurnal Genet Selektsii 2023; 27:651-661. [PMID: 38213464 PMCID: PMC10782033 DOI: 10.18699/vjgb-23-76] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 06/18/2022] [Accepted: 06/30/2023] [Indexed: 01/13/2024] Open
Abstract
The hippocampus plays the key role in stress response regulation, and stress response appears to be weakened in domesticated animals compared to their wild relatives. The hippocampus is functionally heterogeneous along its dorsoventral axis, with its ventral compartment being more closely involved in stress regulation. An earlier series of experiments was conducted with a unique breeding model of animal domestication, the farm silver fox (Vulpes vulpes), which included tame, aggressive, and unselected animals. A decrease in many indices of the hypothalamic-pituitary-adrenal activity was observed in tame animals. Also, adult hippocampal neurogenesis was more intense in tame foxes, and this fact may relate to reduced stress levels in this experimental population of foxes. Nevertheless, the molecular mechanisms responsible for the reduced stress response in tame animals remain obscure. In this study, serum cortisol levels and the mRNA levels of 13 genes in the dorsal and ventral hippocampus have been measured and compared in tame, aggressive, and unselected foxes. At the current stage of domestication, stress-induced cortisol levels in tame, aggressive, and unselected animals differ significantly from each other: tame foxes show the lowest levels, and aggressive ones, the highest. Twelve genes tested demonstrate significant gene expression differences between the dorsal and ventral hippocampi. These differences are mainly consistent with those found in rodents and humans. In tame foxes, significantly elevated mRNA levels were recorded for several genes: CYP26B1 for cytochrome P450 26B1 and ADRA1A for α1A adrenergic receptor in the dorsal hippocampus, whereas the level of NR3C2 mRNA for mineralocorticoid receptor was higher in the ventral. It is presumed that these genes constitute an important part of the mechanism reducing stress induced by contacts with humans and contribute to linking stress regulation with adult neurogenesis in tame foxes and domesticated animals in general.
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Affiliation(s)
- Yu V Alexandrovich
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - E V Antonov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Sirius University of Science and Technology, Scientific Center for Translational Medicine, Sochi, Russia
| | - S G Shikhevich
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A V Kharlamova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - L V Meister
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Y V Makovka
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - D V Shepeleva
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - R G Gulevich
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Yu E Herbeck
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
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Raud L, Sneve MH, Vidal-Piñeiro D, Sørensen Ø, Folvik L, Ness HT, Mowinckel AM, Grydeland H, Walhovd KB, Fjell AM. Hippocampal-cortical functional connectivity during memory encoding and retrieval. Neuroimage 2023; 279:120309. [PMID: 37544416 DOI: 10.1016/j.neuroimage.2023.120309] [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: 04/04/2023] [Revised: 07/16/2023] [Accepted: 08/04/2023] [Indexed: 08/08/2023] Open
Abstract
Memory encoding and retrieval are critical sub-processes of episodic memory. While the hippocampus is involved in both, less is known about its connectivity with the neocortex during memory processing in humans. This is partially due to variations in demands in common memory tasks, which inevitably recruit cognitive processes other than episodic memory. Conjunctive analysis of data from different tasks with the same core elements of encoding and retrieval can reduce the intrusion of patterns related to subsidiary perceptual and cognitive processing. Leveraging data from two large-scale functional resonance imaging studies with different episodic memory tasks (514 and 237 participants), we identified hippocampal-cortical networks active during memory tasks. Whole-brain functional connectivity maps were similar during resting state, encoding, and retrieval. Anterior and posterior hippocampus had distinct connectivity profiles, which were also stable across resting state and memory tasks. When contrasting encoding and retrieval connectivity, conjunctive encoding-related connectivity was sparse. During retrieval hippocampal connectivity was increased with areas known to be active during recollection, including medial prefrontal, inferior parietal, and parahippocampal cortices. This indicates that the stable functional connectivity of the hippocampus along its longitudinal axis is superposed by increased functional connectivity with the recollection network during retrieval, while auxiliary encoding connectivity likely reflects contextual factors.
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Affiliation(s)
- Liisa Raud
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway.
| | - Markus H Sneve
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway
| | - Line Folvik
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway
| | - Hedda T Ness
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway
| | - Håkon Grydeland
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0372 Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, 0373 Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0372 Oslo, Norway
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38
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Brown A, Burles F, Iaria G, Einstein G, Moscovitch M. Sex and menstrual cycle influence human spatial navigation strategies and performance. Sci Rep 2023; 13:14953. [PMID: 37696837 PMCID: PMC10495464 DOI: 10.1038/s41598-023-41153-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/22/2023] [Indexed: 09/13/2023] Open
Abstract
Which facets of human spatial navigation do sex and menstrual cycle influence? To answer this question, a cross-sectional online study of reproductive age women and men was conducted in which participants were asked to demonstrate and self-report their spatial navigation skills and strategies. Participants self-reported their sex and current menstrual phase [early follicular (EF), late follicular/periovulatory (PO), and mid/late luteal (ML)], and completed a series of questionnaires and tasks measuring self-reported navigation strategy use, topographical memory, cognitive map formation, face recognition, and path integration. We found that sex influenced self-reported use of cognitive map- and scene-based strategies, face recognition, and path integration. Menstrual phase moderated the influence of sex: compared to men, women had better face recognition and worse path integration, but only during the PO phase; PO women were also better at path integration in the presence of a landmark compared to EF + ML women and men. These findings provide evidence that human spatial navigation varies with the menstrual cycle and suggest that sensitivity of the entorhinal cortex and longitudinal axis of the hippocampus to differential hormonal effects may account for this variation.
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Affiliation(s)
- Alana Brown
- Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada.
| | - Ford Burles
- Department of Psychology, Hotchkiss Brain Institute, and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Giuseppe Iaria
- Department of Psychology, Hotchkiss Brain Institute, and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Gillian Einstein
- Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada
- Rotman Research Institute, Baycrest Academy of Research and Education, Baycrest Health Sciences, Toronto, ON, M6A 2E1, Canada
- Linköping University, 581 83, Linköping, Sweden
| | - Morris Moscovitch
- Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada
- Rotman Research Institute, Baycrest Academy of Research and Education, Baycrest Health Sciences, Toronto, ON, M6A 2E1, Canada
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Ziegler MG, Liu ZX, Arsenault J, Dang C, Grady C, Rosenbaum RS, Moscovitch M. Differential involvement of the anterior and posterior hippocampus, parahippocampus, and retrosplenial cortex in making precise judgments of spatial distance and object size for remotely acquired memories of environments and objects. Cereb Cortex 2023; 33:10139-10154. [PMID: 37522288 PMCID: PMC10502799 DOI: 10.1093/cercor/bhad272] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 08/01/2023] Open
Abstract
The hippocampus is known to support processing of precise spatial information in recently learned environments. It is less clear, but crucial for theories of systems consolidation, to know whether it also supports processing of precise spatial information in familiar environments learned long ago and whether such precision extends to objects and numbers. In this fMRI study, we asked participants to make progressively more refined spatial distance judgments among well-known Toronto landmarks (whether landmark A is closer to landmark B or C) to examine hippocampal involvement. We also tested whether the hippocampus was similarly engaged in estimating magnitude regarding sizes of familiar animals and numbers. We found that the hippocampus was only engaged in spatial judgment. Activation was greater and lasted longer in the posterior than anterior hippocampus, which instead showed greater modulation as discrimination between spatial distances became more fine grained. These findings suggest that the anterior and posterior hippocampus have different functions which are influenced differently by estimation of differential distance. Similarly, parahippocampal-place-area and retrosplenial cortex were involved only in the spatial condition. By contrast, activation of the intraparietal sulcus was modulated by precision in all conditions. Therefore, our study supports the idea that the hippocampus and related structures are implicated in retrieving and operating even on remote spatial memories whenever precision is required, as posted by some theories of systems consolidation.
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Affiliation(s)
| | - Zhong-Xu Liu
- Department of Behavioral Sciences, University of Michigan–Dearborn, 4901 Evergreen RD, Dearborn, United States
| | - Jessica Arsenault
- Rotman Research Institute at Baycrest Health Sciences, Toronto M6A 2E1, Canada
| | - Christa Dang
- Psychology Department, University of Toronto, Toronto M5S 1A1, Canada
| | - Cheryl Grady
- Psychology Department, University of Toronto, Toronto M5S 1A1, Canada
- Rotman Research Institute at Baycrest Health Sciences, Toronto M6A 2E1, Canada
- Department of Psychiatry, University of Toronto, Toronto M5T 1R8, Canada
| | - R Shayna Rosenbaum
- Rotman Research Institute at Baycrest Health Sciences, Toronto M6A 2E1, Canada
- Department of Psychology and Centre for Vision Research, York University, Toronto M3J 1P3, Canada
| | - Morris Moscovitch
- Psychology Department, University of Toronto, Toronto M5S 1A1, Canada
- Rotman Research Institute at Baycrest Health Sciences, Toronto M6A 2E1, Canada
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40
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Olsen LC, Galler M, Witter MP, Saetrom P, O'Reilly KC. Transcriptional development of the hippocampus and the dorsal-intermediate-ventral axis in rats. Hippocampus 2023; 33:1028-1047. [PMID: 37280038 DOI: 10.1002/hipo.23549] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 04/25/2023] [Accepted: 05/04/2023] [Indexed: 06/08/2023]
Abstract
Risk and resilience for neuropsychiatric illnesses are established during brain development, and transcriptional markers of risk may be identifiable in early development. The dorsal-ventral axis of the hippocampus has behavioral, electrophysiological, anatomical, and transcriptional gradients and abnormal hippocampus development is associated with autism, schizophrenia, epilepsy, and mood disorders. We previously showed that differential gene expression along the dorsoventral hippocampus in rats was present at birth (postnatal day 0, P0), and that a subset of differentially expressed genes (DEGs) was present at all postnatal ages examined (P0, P9, P18, and P60). Here, we extend the analysis of that gene expression data to understand the development of the hippocampus as a whole by examining DEGs that change with age. We additionally examine development of the dorsoventral axis by looking at DEGs along the axis at each age. Using both unsupervised and supervised analyses, we find that the majority of DEGs are present from P0 to P18, with many expression profiles presenting peaks or dips at P9/18. During development of the hippocampus, enriched pathways associated with learning, memory, and cognition increase with age, as do pathways associated with neurotransmission and synaptic function. Development of the dorsoventral axis is greatest at P9 and P18 and is marked by DEGs associated with metabolic functions. Our data indicate that neurodevelopmental disorders like epilepsy, schizophrenia and affective disorders are enriched with developmental DEGs in the hippocampus, regardless of dorsoventral location, with the greatest enrichment of these clinical disorders seen in genes whose expression changes from P0-9. When comparing DEGs from the ventral and dorsal poles, the greatest number of neurodevelopmental disorders is enriched with DEGs found at P18. Taken together, the developing hippocampus undergoes substantial transcriptional maturation during early postnatal development, with expression of genes involved in neurodevelopmental disorders also showing maximal expression changes within this developmental period.
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Affiliation(s)
- Lene C Olsen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Bioinformatics Core Facility - BioCore, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- Department of Microbiology, St. Olavs Hospital, Trondheim, Norway
| | - Meital Galler
- Department of Neuroscience and Behavior, Barnard College of Columbia University, New York, New York, USA
| | - Menno P Witter
- Kavli Institute for Systems Neuroscience, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU Norwegian University for Science and Technology, Trondheim, Norway
| | - Pål Saetrom
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Bioinformatics Core Facility - BioCore, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- Department of Computer and Information Science, NTNU Norwegian University for Science and Technology, Trondheim, Norway
| | - Kally C O'Reilly
- Department of Psychiatry, Columbia University; New York State Psychiatric Institute, New York, New York, USA
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41
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Jiang P, Cui S, Yao S, Cai H, Zhu J, Yu Y. The hierarchical organization of the precuneus captured by functional gradients. Brain Struct Funct 2023; 228:1561-1572. [PMID: 37378854 PMCID: PMC10335959 DOI: 10.1007/s00429-023-02672-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 06/16/2023] [Indexed: 06/29/2023]
Abstract
The precuneus shows considerable heterogeneity in multiple dimensions including anatomy, function, and involvement in brain disorders. Leveraging the state-of-the-art functional gradient approach, we aimed to investigate the hierarchical organization of the precuneus, which may hold promise for a unified understanding of precuneus heterogeneity. Resting-state functional MRI data from 793 healthy individuals were used to discover and validate functional gradients of the precuneus, which were calculated based on the voxel-wise precuneus-to-cerebrum functional connectivity patterns. Then, we further explored the potential relationships of the precuneus functional gradients with cortical morphology, intrinsic geometry, canonical functional networks, and behavioral domains. We found that the precuneus principal and secondary gradients showed dorsoanterior-ventral and ventroposterior-dorsal organizations, respectively. Concurrently, the principal gradient was associated with cortical morphology, and both the principal and secondary gradients showed geometric distance dependence. Importantly, precuneus functional subdivisions corresponding to canonical functional networks (behavioral domains) were distributed along both gradients in a hierarchical manner, i.e., from the sensorimotor network (somatic movement and sensation) at one extreme to the default mode network (abstract cognitive functions) at the other extreme for the principal gradient and from the visual network (vision) at one end to the dorsal attention network (top-down control of attention) at the other end for the secondary gradient. These findings suggest that the precuneus functional gradients may provide mechanistic insights into the multifaceted nature of precuneus heterogeneity.
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Affiliation(s)
- Ping Jiang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Shunshun Cui
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Shanwen Yao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
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42
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Shen Y, Cai H, Mo F, Yao S, Yu Y, Zhu J. Functional connectivity gradients of the cingulate cortex. Commun Biol 2023; 6:650. [PMID: 37337086 PMCID: PMC10279697 DOI: 10.1038/s42003-023-05029-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 06/08/2023] [Indexed: 06/21/2023] Open
Abstract
Heterogeneity of the cingulate cortex is evident in multiple dimensions including anatomy, function, connectivity, and involvement in networks and diseases. Using the recently developed functional connectivity gradient approach and resting-state functional MRI data, we found three functional connectivity gradients that captured distinct dimensions of cingulate hierarchical organization. The principal gradient exhibited a radiating organization with transitions from the middle toward both anterior and posterior parts of the cingulate cortex and was related to canonical functional networks and corresponding behavioral domains. The second gradient showed an anterior-posterior axis across the cingulate cortex and had prominent geometric distance dependence. The third gradient displayed a marked differentiation of subgenual and caudal middle with other parts of the cingulate cortex and was associated with cortical morphology. Aside from providing an updated framework for understanding the multifaceted nature of cingulate heterogeneity, the observed hierarchical organization of the cingulate cortex may constitute a novel research agenda with potential applications in basic and clinical neuroscience.
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Affiliation(s)
- Yuhao Shen
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, 230032, Hefei, China
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, 230032, Hefei, China
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China
| | - Fan Mo
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, 230032, Hefei, China
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China
| | - Shanwen Yao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, 230032, Hefei, China
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China.
- Research Center of Clinical Medical Imaging, Anhui Province, 230032, Hefei, China.
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China.
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, China.
- Research Center of Clinical Medical Imaging, Anhui Province, 230032, Hefei, China.
- Anhui Provincial Institute of Translational Medicine, 230032, Hefei, China.
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43
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Plachti A, Latzman RD, Balajoo SM, Hoffstaedter F, Madsen KS, Baare W, Siebner HR, Eickhoff SB, Genon S. Hippocampal anterior- posterior shift in childhood and adolescence. Prog Neurobiol 2023; 225:102447. [PMID: 36967075 PMCID: PMC10185869 DOI: 10.1016/j.pneurobio.2023.102447] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/14/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023]
Abstract
Hippocampal-cortical networks play an important role in neurocognitive development. Applying the method of Connectivity-Based Parcellation (CBP) on hippocampal-cortical structural covariance (SC) networks computed from T1-weighted magnetic resonance images, we examined how the hippocampus differentiates into subregions during childhood and adolescence (N = 1105, 6-18 years). In late childhood, the hippocampus mainly differentiated along the anterior-posterior axis similar to previous reported functional differentiation patterns of the hippocampus. In contrast, in adolescence a differentiation along the medial-lateral axis was evident, reminiscent of the cytoarchitectonic division into cornu ammonis and subiculum. Further meta-analytical characterization of hippocampal subregions in terms of related structural co-maturation networks, behavioural and gene profiling suggested that the hippocampal head is related to higher order functions (e.g. language, theory of mind, autobiographical memory) in late childhood morphologically co-varying with almost the whole brain. In early adolescence but not in childhood, posterior subicular SC networks were associated with action-oriented and reward systems. The findings point to late childhood as an important developmental period for hippocampal head morphology and to early adolescence as a crucial period for hippocampal integration into action- and reward-oriented cognition. The latter may constitute a developmental feature that conveys increased propensity for addictive disorders.
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Affiliation(s)
- Anna Plachti
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark
| | - Robert D Latzman
- Data Sciences Institute, Takeda Pharmaceutical, Cambridge, MA, USA
| | | | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark; Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - William Baare
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sarah Genon
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; GIGA-CRC In vivo Imaging, University of Liege, Liege, Belgium.
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44
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Nichols ES, Blumenthal A, Kuenzel E, Skinner JK, Duerden EG. Hippocampus long-axis specialization throughout development: A meta-analysis. Hum Brain Mapp 2023. [PMID: 37209288 DOI: 10.1002/hbm.26340] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/22/2023] Open
Abstract
The human adult hippocampus can be subdivided into the head, or anterior hippocampus and its body and tail, or posterior hippocampus, and a wealth of functional differences along the longitudinal axis have been reported. One line of literature emphasizes specialization for different aspects of cognition, whereas another emphasizes the unique role of the anterior hippocampus in emotional processing. While some research suggests that functional differences in memory between the anterior and posterior hippocampus appear early in development, it remains unclear whether this is also the case for functional differences in emotion processing. The goal of this meta-analysis was to determine whether the long-axis functional specialization observed in adults is present earlier in development. Using a quantitative meta-analysis, long-axis functional specialization was assessed using the data from 26 functional magnetic resonance imaging studies, which included 39 contrasts and 804 participants ranging in age from 4 to 21 years. Results indicated that emotion was more strongly localized to the anterior hippocampus, with memory being more strongly localized to the posterior hippocampus, demonstrating long-axis specialization with regard to memory and emotion in children similar to that seen in adults. An additional analysis of laterality indicated that while memory was left dominant, emotion was processed bilaterally.
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Affiliation(s)
- Emily S Nichols
- Faculty of Education, Western University, London, Canada
- Western Institute for Neuroscience, Western University, London, Canada
| | - Anna Blumenthal
- Cervo Brain Research Centre, Université Laval, Quebec, Canada
| | | | | | - Emma G Duerden
- Faculty of Education, Western University, London, Canada
- Western Institute for Neuroscience, Western University, London, Canada
- Pediatrics, Schulich School of Medicine & Dentistry, Western University, London, Canada
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45
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Wang JY, Ma GM, Tang XQ, Shi QL, Yu MC, Lou MM, He KW, Wang WY. Brain region-specific synaptic function of FUS underlies the FTLD-linked behavioural disinhibition. Brain 2023; 146:2107-2119. [PMID: 36345573 DOI: 10.1093/brain/awac411] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 08/10/2022] [Accepted: 09/19/2022] [Indexed: 11/09/2022] Open
Abstract
Synaptic dysfunction is one of the earliest pathological processes that contribute to the development of many neurological disorders, including Alzheimer's disease and frontotemporal lobar degeneration. However, the synaptic function of many disease-causative genes and their contribution to the pathogenesis of the related diseases remain unclear. In this study, we investigated the synaptic role of fused in sarcoma, an RNA-binding protein linked to frontotemporal lobar degeneration and amyotrophic lateral sclerosis, and its potential pathological role in frontotemporal lobar degeneration using pyramidal neuron-specific conditional knockout mice (FuscKO). We found that FUS regulates the expression of many genes associated with synaptic function in a hippocampal subregion-specific manner, concomitant with the frontotemporal lobar degeneration-linked behavioural disinhibition. Electrophysiological study and molecular pathway analyses further reveal that fused in sarcoma differentially regulates synaptic and neuronal properties in the ventral hippocampus and medial prefrontal cortex, respectively. Moreover, fused in sarcoma selectively modulates the ventral hippocampus-prefrontal cortex projection, which is known to mediate the anxiety-like behaviour. Our findings unveil the brain region- and synapse-specific role of fused in sarcoma, whose impairment might lead to the emotional symptoms associated with frontotemporal lobar degeneration.
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Affiliation(s)
- Jun-Ying Wang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guo-Ming Ma
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiao-Qiang Tang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
| | - Qi-Li Shi
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
| | - Ming-Can Yu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
| | - Min-Min Lou
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kai-Wen He
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
| | - Wen-Yuan Wang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Science, Shanghai 201210, China
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
- Animal Center of Zoology, Institute of Neuroscience, Kunming Medical University, Kunming 650500, China
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46
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Katsumi Y, Zhang J, Chen D, Kamona N, Bunce JG, Hutchinson JB, Yarossi M, Tunik E, Dickerson BC, Quigley KS, Barrett LF. Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Commun Biol 2023; 6:401. [PMID: 37046050 PMCID: PMC10097701 DOI: 10.1038/s42003-023-04796-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/03/2023] [Indexed: 04/14/2023] Open
Abstract
Gradient mapping is an important technique to summarize high dimensional biological features as low dimensional manifold representations in exploring brain structure-function relationships at various levels of the cerebral cortex. While recent studies have characterized the major gradients of functional connectivity in several brain structures using this technique, very few have systematically examined the correspondence of such gradients across structures under a common systems-level framework. Using resting-state functional magnetic resonance imaging, here we show that the organizing principles of the isocortex, and those of the cerebellum and hippocampus in relation to the isocortex, can be described using two common functional gradients. We suggest that the similarity in functional connectivity gradients across these structures can be meaningfully interpreted within a common computational framework based on the principles of predictive processing. The present results, and the specific hypotheses that they suggest, represent an important step toward an integrative account of brain function.
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Affiliation(s)
- Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
| | - Jiahe Zhang
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Danlei Chen
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Nada Kamona
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Jamie G Bunce
- Department of Biology, Northeastern University, Boston, MA, 02115, USA
| | | | - Mathew Yarossi
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, 02115, USA
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, MA, 02115, USA
| | - Eugene Tunik
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, MA, 02115, USA
| | - Bradford C Dickerson
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Karen S Quigley
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
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47
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Zhao L, Mühleisen TW, Pelzer DI, Burger B, Beins EC, Forstner AJ, Herms S, Hoffmann P, Amunts K, Palomero-Gallagher N, Cichon S. Relationships between neurotransmitter receptor densities and expression levels of their corresponding genes in the human hippocampus. Neuroimage 2023; 273:120095. [PMID: 37030412 PMCID: PMC10167541 DOI: 10.1016/j.neuroimage.2023.120095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/02/2023] [Accepted: 04/05/2023] [Indexed: 04/08/2023] Open
Abstract
Neurotransmitter receptors are key molecules in signal transmission, their alterations are associated with brain dysfunction. Relationships between receptors and their corresponding genes are poorly understood, especially in humans. We combined in vitro receptor autoradiography and RNA sequencing to quantify, in the same tissue samples (7 subjects), the densities of 14 receptors and expression levels of their corresponding 43 genes in the Cornu Ammonis (CA) and dentate gyrus (DG) of human hippocampus. Significant differences in receptor densities between both structures were found only for metabotropic receptors, whereas significant differences in RNA expression levels mostly pertained ionotropic receptors. Receptor fingerprints of CA and DG differ in shapes but have similar sizes; the opposite holds true for their "RNA fingerprints", which represent the expression levels of multiple genes in a single area. In addition, the correlation coefficients between receptor densities and corresponding gene expression levels vary widely and the mean correlation strength was weak-to-moderate. Our results suggest that receptor densities are not only controlled by corresponding RNA expression levels, but also by multiple regionally specific post-translational factors.
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48
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Hanson JL, Adkins DJ, Nacewicz BM, Barry KR. Impact of Socioeconomic Status on Amygdala and Hippocampus Subdivisions in Children and Adolescents. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.10.532071. [PMID: 36993362 PMCID: PMC10054998 DOI: 10.1101/2023.03.10.532071] [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: 06/19/2023]
Abstract
Socioeconomic status (SES) in childhood can impact behavioral and brain development. Past work has consistently focused on the amygdala and hippocampus, two brain areas critical for emotion and behavioral responding. While there are SES differences in amygdala and hippocampal volumes, there are many unanswered questions in this domain connected to neurobiological specificity, and for whom these effects may be more pronounced. We may be able to investigate some anatomical subdivisions of these brain areas, as well as if relations with SES vary by participant age and sex. No work to date has however completed these types of analyses. To overcome these limitations, here, we combined multiple, large neuroimaging datasets of children and adolescents with information about neurobiology and SES (N=2,765). We examined subdivisions of the amygdala and hippocampus and found multiple amygdala subdivisions, as well as the head of the hippocampus, were related to SES. Greater volumes in these areas were seen for higher-SES youth participants. Looking at age- and sex-specific subgroups, we tended to see stronger effects in older participants, for both boys and girls. Paralleling effects for the full sample, we see significant positive associations between SES and volumes for the accessory basal amygdala and head of the hippocampus. We more consistently found associations between SES and volumes of the hippocampus and amygdala in boys (compared to girls). We discuss these results in relation to conceptions of "sex-as-a-biological variable" and broad patterns of neurodevelopment across childhood and adolescence. These results fill in important gaps on the impact of SES on neurobiology critical for emotion, memory, and learning.
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49
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Pattnaik A, Sanket AS, Pradhan S, Sahoo R, Das S, Pany S, Douglas TEL, Dandela R, Liu Q, Rajadas J, Pati S, De Smedt SC, Braeckmans K, Samal SK. Designing of gradient scaffolds and their applications in tissue regeneration. Biomaterials 2023; 296:122078. [PMID: 36921442 DOI: 10.1016/j.biomaterials.2023.122078] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 02/19/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
Gradient scaffolds are isotropic/anisotropic three-dimensional structures with gradual transitions in geometry, density, porosity, stiffness, etc., that mimic the biological extracellular matrix. The gradient structures in biological tissues play a major role in various functional and metabolic activities in the body. The designing of gradients in the scaffold can overcome the current challenges in the clinic compared to conventional scaffolds by exhibiting excellent penetration capacity for nutrients & cells, increased cellular adhesion, cell viability & differentiation, improved mechanical stability, and biocompatibility. In this review, the recent advancements in designing gradient scaffolds with desired biomimetic properties, and their implication in tissue regeneration applications have been briefly explained. Furthermore, the gradients in native tissues such as bone, cartilage, neuron, cardiovascular, skin and their specific utility in tissue regeneration have been discussed in detail. The insights from such advances using gradient-based scaffolds can widen the horizon for using gradient biomaterials in tissue regeneration applications.
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Affiliation(s)
- Ananya Pattnaik
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-Regional Medical Research Centre, Bhubaneswar, 751023, Odisha, India
| | - A Swaroop Sanket
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-Regional Medical Research Centre, Bhubaneswar, 751023, Odisha, India
| | - Sanghamitra Pradhan
- Department of Chemistry, Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, 751030, Odisha, India
| | - Rajashree Sahoo
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-Regional Medical Research Centre, Bhubaneswar, 751023, Odisha, India
| | - Sudiptee Das
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-Regional Medical Research Centre, Bhubaneswar, 751023, Odisha, India
| | - Swarnaprbha Pany
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-Regional Medical Research Centre, Bhubaneswar, 751023, Odisha, India
| | - Timothy E L Douglas
- Engineering Department, Lancaster University, Lancaster, United Kingdom; Materials Science Institute, Lancaster University, Lancaster, United Kingdom
| | - Rambabu Dandela
- Department of Industrial and Engineering Chemistry, Institute of Chemical Technology, Indian Oil Odisha Campus, Bhubaneswar, Odisha, India
| | - Qiang Liu
- Advanced Drug Delivery and Regenerative Biomaterials Laboratory, Cardiovascular Institute, Stanford University School of Medicine, Department of Medicine, Stanford University, California, 94304, USA
| | - Jaykumar Rajadas
- Advanced Drug Delivery and Regenerative Biomaterials Laboratory, Cardiovascular Institute, Stanford University School of Medicine, Department of Medicine, Stanford University, California, 94304, USA; Department of Bioengineering and Therapeutic Sciences, University of California San Francusco (UCSF) School of Parmacy, California, USA
| | - Sanghamitra Pati
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-Regional Medical Research Centre, Bhubaneswar, 751023, Odisha, India
| | - Stefaan C De Smedt
- Laboratory of General Biochemistry and Physical Pharmacy, University of Ghent, Ghent, 9000, Belgium.
| | - Kevin Braeckmans
- Laboratory of General Biochemistry and Physical Pharmacy, University of Ghent, Ghent, 9000, Belgium
| | - Sangram Keshari Samal
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-Regional Medical Research Centre, Bhubaneswar, 751023, Odisha, India.
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孙 源, 唐 碧, 祝 菲, 张 文, 赵 又, 龚 启, 胡 娜, 吕 粟. [Anatomic Abnormalities of Hippocampal Subfields in First-Episode Drug-Naïve Schizophrenia and Major Depressive Disorder: A Structural MRI Comparative Study]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2023; 54:275-280. [PMID: 36949685 PMCID: PMC10409160 DOI: 10.12182/20230360209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Indexed: 03/24/2023]
Abstract
Objective To compare the structural changes along the longitudinal axis of hippocampus subfields between schizophrenia (SCZ) patients and major depressive disorder (MDD) patients in the early stage of their SCZ and MDD. Methods Seventy-nine first-episode drug-naïve patients with SCZ, 48 first-episode drug-naïve patients with MDD, and 79 healthy controls (HC) were recruited and underwent assessment of clinical symptoms and magnetic resonance imaging (MRI) of the head. Following the calculation of hippocampal and subfield volumes with FreeSurfer, the volume of longitudinal subfields were summed up. Inter-group comparison of these indicators was made with the data of different groups and the correlation between clinical symptoms and the volumes of longitudinal subfields was analyzed. Results Compared with HC, SCZ patients had smaller bilateral posterior hippocampus (left: t=-2.69, P=0.01; right: t=-2.90, P=0.004), while MDD patients exhibited no changes along the longitudinal axis of hippocampal subfields. In SCZ patients, the volume of bilateral posterior hippocampus was negatively correlated with the negative symptom scores of Positive and Negative Syndrome Scale (left: r=-0.29, P=0.01; right: r=-0.23, P=0.04). Conclusion The smaller posterior hippocampus may be an imaging feature for distinguishing SCZ from MDD and may have contributed to the neuropathophysiological mechanism of SCZ in the early stage of the onset of the disease.
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Affiliation(s)
- 源 孙
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 碧秋 唐
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 菲 祝
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 文静 张
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 又瑾 赵
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 启勇 龚
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 娜 胡
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 粟 吕
- 四川大学华西医院 放射科 华西磁共振研究中心 (成都 610041)Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China
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