A5016334506- Cell Image Analysis Techniques
- Neural dynamics and brain function
- Single-cell and spatial transcriptomics
- Advanced Fluorescence Microscopy Techniques
- Neuroinflammation and Neurodegeneration Mechanisms
- Genetics and Neurodevelopmental Disorders
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Epilepsy research and treatment
- Radiomics and Machine Learning in Medical Imaging
- Image Processing Techniques and Applications
- Mitochondrial Function and Pathology
- Biosensors and Analytical Detection
- Epigenetics and DNA Methylation
- Neural Networks and Applications
- Connective tissue disorders research
- Diabetes and associated disorders
- Autism Spectrum Disorder Research
- Advanced MRI Techniques and Applications
- Neuroscience and Neuropharmacology Research
- Neurogenesis and neuroplasticity mechanisms
- Down syndrome and intellectual disability research
Southeast University
2021-2025
State Key Laboratory of Digital Medical Engineering
2024
European Molecular Biology Laboratory
2024
Southeast University
2023
Morpho (United States)
2023
Centre for Genomic Regulation
2016-2021
Universitat Pompeu Fabra
2016-2021
Centro de Investigación Biomédica en Red
2021
Centre for Biomedical Network Research on Rare Diseases
2021
Hospital del Mar Research Institute
2015
Classification of single neurons at a brain-wide scale is way to characterize the structural and functional organization brains. Here we acquired standardized large morphology database 20,158 mouse generated potential connectivity map based on their dendritic axonal arbors. With such an anatomy–morphology–connectivity mapping, defined neuron subtypes for in 31 brain regions. We found that cell types by show distinct separation from each other. Within this context, were able diversity...
We examined the distribution of pre-synaptic contacts in axons mouse neurons and constructed whole-brain single-cell neuronal networks using an extensive dataset 1,891 fully reconstructed neurons. found that bouton locations were not homogeneous throughout axon among brain regions. As our algorithm was able to generate connectivity matrices from full morphology reconstruction datasets, we further non-homogeneous have a significant impact on network wiring, including degree distribution,...
<title>Abstract</title> We conducted a large-scale study of whole-brain morphometry, analyzing 3.7 peta-voxels mouse brain images at the single-cell resolution, producing one largest multi-morphometry databases mammalian brains to date. spatially registered 205 and associated data from six Brain Initiative Cell Census Network (BICCN) sources covering three major imaging modalities five collaborative projects Allen Common Coordinate Framework (CCF) atlas, annotated 3D locations cell bodies...
We conducted a large-scale whole-brain morphometry study by analyzing 3.7 peta-voxels of mouse brain images at the single-cell resolution, producing one largest multi-morphometry databases mammalian brains to date. registered 204 three major imaging modalities Allen Common Coordinate Framework (CCF) atlas, annotated 182,497 neuronal cell bodies, modeled 15,441 dendritic microenvironments, characterized full morphology 1876 neurons along with their axonal motifs, and detected 2.63 million...
Cognitive disorders, including Down syndrome (DS), present significant morphological alterations in neuron architectural complexity. However, the relationship between neuromorphological and impaired brain function is not fully understood. To address this gap, we propose a novel computational model that accounts for observed cell deformations DS. The consists of cross-sectional layer mouse motor cortex, composed 3000 neurons. network connectivity obtained by accounting explicitly two...
The full morphology of single neurons is indispensable for understanding cell types, the basic building blocks in brains. Projecting trajectories are critical to extracting biologically relevant information from neuron morphologies, as they provide valuable both connectivity and identity. We developed an artificial intelligence method, deep sequential model (DSM), extract concise, cell-type-defining features projections across brain regions. DSM achieves more than 90% accuracy classifying 12...
Classifications of single neurons at brain-wide scale is a powerful way to characterize the structural and functional organization brain. We acquired standardized large morphology database 20,158 mouse neurons, generated whole-brain potential connectivity map based on their dendritic axonal arbors. With such an anatomy-morphology-connectivity mapping, we defined neuron types subtypes (both called "c-types" for simplicity) in 31 brain regions. found that neuronal by same regions may share...
Summary We examined the distribution of pre-synaptic contacts in axons mouse neurons and constructed whole-brain single-cell neuronal networks using an extensive dataset 1891 fully reconstructed neurons. found that bouton locations were not homogeneous throughout axon also among brain regions. As our algorithm was able to generate connectivity matrices from full morphology reconstruction datasets, we further non-homogeneous have a significant impact on network wiring, including degree...
In this study, we investigated the impact of Dual specificity tyrosine-phosphorylation-regulated kinase 1A (Dyrk1A) overexpression, a gene associated with Down syndrome, on hippocampal neuronal deficits in mice. Our findings revealed that mice overexpressing Dyrk1A (TgDyrk1A; TG) exhibited impaired recognition memory, disrupted excitation-inhibition balance, and long-term potentiation (LTP). Specifically, observed layer-specific dendritic arborization TG CA1 pyramidal neurons stratum...
ABSTRACT BigNeuron is an open community bench-testing platform combining the expertise of neuroscientists and computer scientists toward goal setting standards for accurate fast automatic neuron reconstruction. The project gathered a diverse set image volumes across several species representative data obtained in most neuroscience laboratories interested Here we report generated gold standard manual annotations selected subset available imaging datasets quantified reconstruction quality 35...
Abstract Cognitive disorders, including Down syndrome (DS), present significant morphological alterations in neuron architectural complexity. However, the relationship between neuromorphological and impaired brain function is not fully understood. To address this gap, we propose a novel computational model that accounts for observed cell deformations DS. The consists of cross-sectional layer mouse motor cortex, composed 3000 neurons. network connectivity obtained by accounting explicitly two...
Abstract Classifications of single neurons at brain-wide scale is a powerful way to characterize the structural and functional organization brain. We acquired standardized large morphology database 20,158 mouse neurons, generated whole-brain potential connectivity map based on their dendritic axonal arbors. With such an anatomy-morphology-connectivity mapping, we defined neuron types subtypes (both called “c-types” for simplicity) in 31 brain regions. found that neuronal by same regions may...
Abstract Changes to neuronal morphology and loss of neurites synaptic connections can be an important early indicator neurological diseases, a pathognomonic sign neurodevelopmental disorders. These changes are typically detectable by microscopy in cell culture or histological samples, but quantification challenging. The extending from soma quite thin, dim, overlapping complex, making them laborious trace manually difficult annotate quantify computationally automatically. Moreover, the tools...
Event Abstract Back to Neuromorphological and wiring pattern alterations effects on brain function: a mixed experimental computational approach. Linus Manubens-Gil1, 2, 3*, Jim Swoger1, 3, Belén Sancristóbal1, Queralt Serra1, Thomas Gener1, Lluís Hernández4, Jordi Soriano-Fradera4, James Sharpe1, 3 Mara Dierssen1, 1 Centre de Regulació Genòmica (CRG), Systems Biology, Spain 2 Universitat Pompeu Fabra (UPF), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 4 Barcelona (UB), Dpt....
Abnormal dendritic arbors, spine "dysgenesis" and excitation inhibition imbalance are main traits assumed to underlie impaired cognition behavioral adaptation in intellectual disability. However, how these modifications actually contribute functional properties of neuronal networks, such as signal integration or storage capacity is unknown. Here, we used a mouse model overexpressing