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• Connectome Structure
  crossref 2020-09-08T20:19:07Z 置信度 0.70
• DCP: a pipeline toolbox for diffusion connectome
  Abstract The brain structure network constructed by diffusion tensor imaging (DTI) reflects the anatomical connections between brain regions, so the brain structure network can quantitatively describes the anatomical connectivity pattern of the entire brain. T…
  crossref Weijie Huang, Ni Shu 2020-04-18T09:35:28Z 置信度 0.70
• Pretreatment Brain Connectome Fingerprint Predicts Treatment Response in Major Depressive Disorder
  What is different about someone’s brain when they are depressed? Think not in terms of brain structures, like the anterior cingulate, or brain networks, like the default mode metwork; think in terms of how these networks connect, or the “functional connectome.…
  crossref 2026-03-27T19:41:11Z 置信度 0.70
• eLife Assessment: Whole-body connectome of a segmented annelid larva
  Nervous systems coordinate effectors across the body during movements. We know little about the cellular-level structure of synaptic circuits for such body-wide control. Here we describe the whole-body synaptic connectome of a segmented larva of the marine ann…
  crossref Kristin Tessmar-Raible 2024-07-08T20:25:47Z 置信度 0.70
• Novel Implementation of Additive Manufacturing to Visualize the Human Brain Connectome
  Additive manufacturing (AM) is an emerging technology with diverse areas of application. In this paper we explore a new application of AM that uses a subset of AM known as 3D printing, to create real life models of the human connectome. The human connectome is…
  crossref Gregory Tyler 2023-12-08T16:51:00Z 置信度 0.70
• Brain Connectome from Neuronal Morphology
  Single-subject morphological brain networks derived from cross-feature correlation of macroscopic MRI-derived morphological measures provide an important means for studying the brain connectome. However, the validity of this approach remains to be confirmed at…
  crossref Suhui Jin, Junle Li, Jinhui Wang 2024-08-05T22:23:15Z 置信度 0.70
• The Neuron–Tumor Connectome Supports Glioblastoma Progression
  Major Finding: Tumor-connected neurons promote glioblastoma growth, invasion, and resistance to radiotherapy.Concept: Rabies virus–based retrograde tracing of neurons reveals their integration with glioblastoma cells.Impact:Disrupting neuron–tumor networks may…
  crossref 2024-12-28T04:50:31Z 置信度 0.70
• Normalizing the brain connectome for communication through synchronization
  ABSTRACT Networks in neuroscience determine how brain function unfolds, and their perturbations lead to psychiatric disorders and brain disease. Brain networks are characterized by their connectomes, which comprise the totality of all connections, and are comm…
  crossref S. Petkoski, V.K. Jirsa 2020-12-04T00:00:30Z 置信度 0.70
• Reliability of Serum-Derived Connectome Indicators in Identifying Cirrhosis
  Patients with cirrhosis face a heightened risk of complications, underscoring the importance of identification. We have developed a Connectome strategy that combines metabolites with peptide spectral matching (PSM) in proteomics to integrate metabolomics and p…
  crossref 2024-09-21T10:02:39Z 置信度 0.70
• Spectral organization of individualized connectome harmonics across brain structure, function and cognition
  Connectome harmonics provide a spectral representation of structural brain connectivity that has emerged as a powerful framework for studying structure–function relationships. However, two fundamental questions remain unresolved: how should inter-individual va…
  europepmc 2026 置信度 0.80
• A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System
  What can we learn from a connectome? We constructed a simplified model of the first two stages of the fly visual system, the lamina and medulla. The resulting hexagonal lattice convolutional network was trained using backpropagation through time to perform obj…
  arxiv Fabian David Tschopp, Michael B. Reiser, Srinivas C. Turaga 2018-06-12T22:57:14Z 置信度 0.78 q-bio.NCcs.CV
• Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0
  Connections of the living human brain, on a macroscopic scale, can be mapped by a diffusion MR imaging based workflow. Since the same anatomic regions can be corresponded between distinct brains, one can compare the presence or the absence of the edges, connec…
  arxiv Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz 2016-02-15T19:38:43Z 置信度 0.78 q-bio.NC
• High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics
  Here we show a method of directing the edges of the connectomes, prepared from diffusion tensor imaging (DTI) datasets from the human brain. Before the present work, no high-definition directed braingraphs (or connectomes) were published, because the tractogra…
  arxiv Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz 2016-09-28T18:35:30Z 置信度 0.78 q-bio.NC
• Homomorphisms of connectome graphs
  We propose to study homomorphisms of connectome graphs. Homomorphisms can be studied as sequences of elementary homomorphisms - folds, which identify pairs of vertices. Several fold types are defined. Initial computation results for some connectome graphs are …
  arxiv Peteris Daugulis 2014-12-08T14:50:50Z 置信度 0.78 q-bio.NC
• Spectral peculiarity and criticality of the human connectome
  We have performed the comparative spectral analysis of structural connectomes for various organisms using open-access data. Our analysis indicates several new peculiar features of the human connectome. We found that the spectral density of human connectome has…
  arxiv K. Anokhin, V. Avetisov, A. Gorsky, S. Nechaev 等 2018-12-15T16:28:02Z 置信度 0.78 q-bio.NCcond-mat.dis-nnphysics.soc-ph
• Robust probabilistic measurement of structural-functional module consistency in infant brain development
  Brain network is commonly divided into modules for analyzing their functionally segregated roles for group-level analysis in neuroimaging studies. Here, we introduce stochastic modules within brain networks for a robust probabilistic measurement of structural-…
  arxiv Lingbin Bian, Feihong Liu, Qian Wang, Han Zhang 等 2026-06-18T03:12:19Z 置信度 0.78 q-bio.NC
• Generative models of the human connectome
  The human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cognitive function. The generative rules that shape the topology of the human connectom…
  arxiv Richard F. Betzel, Andrea Avena-Koenigsberger, Joaquín Goñi, Ye He 等 2015-06-22T21:35:30Z 置信度 0.78 q-bio.NC
• The multilayer connectome of Caenorhabditis elegans
  Connectomics has focused primarily on the mapping of synaptic links in the brain; yet it is well established that extrasynaptic volume transmission, especially via monoamines and neuropeptides, is also critical to brain function. Here we present a draft monoam…
  arxiv Barry Bentley, Robyn Branicky, Christopher L. Barnes, Edward T. Bullmore 等 2016-08-31T10:02:09Z 置信度 0.78 q-bio.NC
• The growing topology of the C. elegans connectome
  Probing the developing neural circuitry in Caenorhabditis elegans has enhanced our understanding of nervous systems. The C. elegans connectome, like those of other species, is characterized by a rich club of densely connected neurons embedded within a small-wo…
  arxiv Alec Helm, Ann S. Blevins, Danielle S. Bassett 2020-12-31T20:41:32Z 置信度 0.78 q-bio.NCmath.AT
• Connectome graphs and maximum flow problems
  We propose to study maximum flow problems for connectome graphs. We suggest a few computational problems: finding vertex pairs with maximal flow, finding new edges which would increase the maximal flow. Initial computation results for some publicly available c…
  arxiv Peteris Daugulis 2014-12-19T13:45:26Z 置信度 0.78 q-bio.NCcs.CE
• The Budapest Reference Connectome Server v2.0
  The connectomes of different human brains are pairwise distinct: we cannot talk about an abstract "graph of the brain". Two typical connectomes, however, have quite a few common graph edges that may describe the same connections between the same cortical areas…
  arxiv Balazs Szalkai, Csaba Kerepesi, Balint Varga, Vince Grolmusz 2014-12-09T22:59:59Z 置信度 0.78 q-bio.NC
• Structural Connectome Atlas Construction in the Space of Riemannian Metrics
  The structural connectome is often represented by fiber bundles generated from various types of tractography. We propose a method of analyzing connectomes by representing them as a Riemannian metric, thereby viewing them as points in an infinite-dimensional ma…
  arxiv Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer 等 2021-03-09T21:46:02Z 置信度 0.78 cs.CV
• Visualization in Connectomics
  Connectomics is a field of neuroscience that analyzes neuronal connections. A connectome is a complete map of a neuronal system, comprising all neuronal connections between its structures. The term "connectome" is close to the word "genome" and implies complet…
  arxiv Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner 等 2012-06-07T09:17:34Z 置信度 0.78 cs.GRq-bio.NC
• Semiparametric spectral modeling of the Drosophila connectome
  We present semiparametric spectral modeling of the complete larval Drosophila mushroom body connectome. Motivated by a thorough exploratory data analysis of the network via Gaussian mixture modeling (GMM) in the adjacency spectral embedding (ASE) representatio…
  arxiv Carey E. Priebe, Youngser Park, Minh Tang, Avanti Athreya 等 2017-05-09T12:51:28Z 置信度 0.78 stat.ML
• Data-driven mapping between functional connectomes using optimal transport
  Functional connectomes derived from functional magnetic resonance imaging have long been used to understand the functional organization of the brain. Nevertheless, a connectome is intrinsically linked to the atlas used to create it. In other words, a connectom…
  arxiv Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost 2021-07-02T23:43:34Z 置信度 0.78 q-bio.NCcs.LG
• Tensor network factorizations: Relationships between brain structural connectomes and traits
  Advanced brain imaging techniques make it possible to measure individuals' structural connectomes in large cohort studies non-invasively. The structural connectome is initially shaped by genetics and subsequently refined by the environment. It is extremely int…
  arxiv Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David Dunson 2018-06-07T21:11:56Z 置信度 0.78 stat.AP
• Magnetic Resonance Connectome Automated Pipeline
  This manuscript presents a novel, tightly integrated pipeline for estimating a connectome, which is a comprehensive description of the neural circuits in the brain. The pipeline utilizes magnetic resonance imaging (MRI) data to produce a high-level estimate of…
  arxiv William R. Gray, John A. Bogovic, Joshua T. Vogelstein, Bennett A. Landman 等 2011-11-11T04:28:28Z 置信度 0.78 q-bio.NCphysics.med-ph
• Network Structural Dependency in the Human Connectome Across the Life-Span
  Principles of network topology have been widely studied in the human connectome. Of particular interest is the modularity of the human brain, where the connectome is divided into subnetworks and subsequently changes with development, aging or disease are inves…
  arxiv Markus D. Schirmer, Ai Wern Chung, P. Ellen Grant, Natalia S. Rost 2018-10-23T16:01:23Z 置信度 0.78 q-bio.NC
• How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain
  The human connectome is the object of an intensive research today. In these graphs, the vertices correspond to the small areas of the gray matter, and two vertices are connected by an edge, if a diffusion-MRI based workflow finds connections between those area…
  arxiv Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz 2015-09-18T17:03:36Z 置信度 0.78 q-bio.NC
• A Tutorial in Connectome Analysis: Topological and Spatial Features of Brain Networks
  High-throughput methods for yielding the set of connections in a neural system, the connectome, are now being developed. This tutorial describes ways to analyze the topological and spatial organization of the connectome at the macroscopic level of connectivity…
  arxiv Marcus Kaiser 2011-05-24T08:22:36Z 置信度 0.78 q-bio.NCcs.SIphysics.soc-ph
• Entropic Hyper-Connectomes Computation and Analysis
  Brain function and connectivity is a pressing mystery in medicine related to many diseases. Neural connectomes have been studied as graphs with graph theory methods including topological methods. Work has started on hypergraph models and methods where the geom…
  arxiv Michael G. Rawson 2022-02-28T18:20:46Z 置信度 0.78 stat.MEmath.STstat.CO
• The Frequent Subgraphs of the Connectome of the Human Brain
  In mapping the human structural connectome, we are in a very fortunate situation: one can compute and compare graphs, describing the cerebral connections between the very same, anatomically identified small regions of the gray matter among hundreds of human su…
  arxiv Mate Fellner, Balint Varga, Vince Grolmusz 2017-11-30T10:45:43Z 置信度 0.78 q-bio.NC
• Machine Learning on Human Connectome Data from MRI
  Functional MRI (fMRI) and diffusion MRI (dMRI) are non-invasive imaging modalities that allow in-vivo analysis of a patient's brain network (known as a connectome). Use of these technologies has enabled faster and better diagnoses and treatments of neurologica…
  arxiv Colin J Brown, Ghassan Hamarneh 2016-11-26T11:14:22Z 置信度 0.78 cs.LGq-bio.NCstat.ML
• Unveiling and Steering Connectome Organization with Interpretable Latent Variables
  The brain's intricate connectome, a blueprint for its function, presents immense complexity, yet it arises from a compact genetic code, hinting at underlying low-dimensional organizational principles. This work bridges connectomics and representation learning …
  arxiv Yubin Li, Xingyu Liu, Guozhang Chen 2025-05-19T11:54:40Z 置信度 0.78 cs.AI
• Exploring the Human Connectome Topology in Group Studies
  Visually comparing brain networks, or connectomes, is an essential task in the field of neuroscience. Especially relevant to the field of clinical neuroscience, group studies that examine differences between populations or changes over time within a population…
  arxiv Johnson J. G. Keiriz, Liang Zhan, Morris Chukhman, Olu Ajilore 等 2017-06-30T17:59:14Z 置信度 0.78 q-bio.NCcs.HC
• Functional Geometry of Human Connectome and Robustness of Gender Differences
  Mapping the brain imaging data to networks, where each node represents a specific area of the brain, has enabled an objective graph-theoretic analysis of human connectome. However, the latent structure on higher-order connections remains unexplored, where many…
  arxiv Bosiljka Tadic, Miroslav Andjelkovic, Roderick Melnik 2019-04-06T09:37:27Z 置信度 0.78 q-bio.NCcond-mat.dis-nnmath.AT
• The quest for identifiability in human functional connectomes
  The evaluation of the individual 'fingerprint' of a human functional connectome (FC) is becoming a promising avenue for neuroscientific research, due to its enormous potential inherent to drawing single subject inferences from functional connectivity profiles.…
  arxiv Enrico Amico, Joaquín Goñi 2017-07-07T21:34:14Z 置信度 0.78 q-bio.NC
• Uncovering the invariant structural organization of the human connectome
  In order to understand the complex cognitive functions of the human brain, it is essential to study the structural connectome, i.e., the wiring of different brain regions to each other through axonal pathways. However, the high degree of plasticity and cross-p…
  arxiv Anand Pathak, Shakti N. Menon, Sitabhra Sinha 2020-12-31T18:58:33Z 置信度 0.78 q-bio.NCphysics.bio-ph
• PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits
  Our understanding of the structure of the brain and its relationships with human traits is largely determined by how we represent the structural connectome. Standard practice divides the brain into regions of interest (ROIs) and represents the connectome as an…
  arxiv Rongjie Liu, Meng Li, David B. Dunson 2021-03-05T05:26:25Z 置信度 0.78 stat.APstat.ME
• Autoproof: Automated Segmentation Proofreading for Connectomics
  Producing connectomes from electron microscopy (EM) images has historically required a great deal of human proofreading effort. This manual annotation cost is the current bottleneck in scaling EM connectomics, for example, in making larger connectome reconstru…
  arxiv Gary B Huang, William M Katz, Stuart Berg, Louis Scheffer 2025-09-30T17:43:18Z 置信度 0.78 cs.CV
• On the Limits of Applying Graph Transformers for Brain Connectome Classification
  Brain connectomes offer detailed maps of neural connections within the brain. Recent studies have proposed novel connectome graph datasets and attempted to improve connectome classification by using graph deep learning. With recent advances demonstrating trans…
  arxiv Jose Lara-Rangel, Clare Heinbaugh 2025-03-20T07:03:13Z 置信度 0.78 cs.LG
• Communities in C.elegans connectome through the prism of non-backtracking walks
  The fundamental relationship between the mesoscopic structure of neuronal circuits and organismic functions they subserve is one of the major challenges in contemporary neuroscience. Formation of structurally connected modules of neurons enacts the conversion …
  arxiv Arsenii Onuchin, Alina Chernizova, Mikhail Lebedev, Kirill Polovnikov 2022-07-22T18:15:55Z 置信度 0.78 q-bio.NCphysics.bio-phphysics.data-anq-bio.QM
• The Organisation of the Elderly Connectome
  Investigations of the human connectome have elucidated core features of adult structural networks, particularly the crucial role of hub-regions. However, little is known regarding network organisation of the healthy elderly connectome, a crucial prelude to the…
  arxiv Alistair Perry, Wei Wen, Anton Lord, Anbupalam Thalamuthu 等 2015-02-20T04:57:14Z 置信度 0.78 q-bio.NC
• Connectome-Guided Automatic Learning Rates for Deep Networks
  The human brain is highly adaptive: its functional connectivity reconfigures on multiple timescales during cognition and learning, enabling flexible information processing. By contrast, artificial neural networks typically rely on manually-tuned learning-rate …
  arxiv Peilin He, Tananun Songdechakraiwut 2025-10-27T19:11:49Z 置信度 0.78 cs.NE
• Multiscale Comparative Connectomics
  The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This information-rich data modality has the potential to transform our understanding…
  arxiv Vivek Gopalakrishnan, Jaewon Chung, Eric Bridgeford, Benjamin D. Pedigo 等 2020-11-30T16:58:25Z 置信度 0.78 q-bio.NCstat.ME
• Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes
  Mapping of human brain structural connectomes via diffusion MRI offers a unique opportunity to understand brain structural connectivity and relate it to various human traits, such as cognition. However, head displacement during image acquisition can compromise…
  arxiv Yizi Zhang, Meimei Liu, Zhengwu Zhang, David Dunson 2022-12-08T19:54:25Z 置信度 0.78 q-bio.NC
• Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder
  Graph theoretical analyses have become standard tools in modeling functional and anatomical connectivity in the brain. With the advent of connectomics, the primary graphs or networks of interest are structural connectome (derived from DTI tractography) and fun…
  arxiv Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan 等 2022-07-05T21:39:13Z 置信度 0.78 q-bio.NCcs.LG
• Mapping Correlations of Psychological and Connectomical Properties of the Dataset of the Human Connectome Project with the Maximum Spanning Tree Method
  We analyzed correlations between more than 700 psychological-, anatomical- and connectome--properties, originated from the Human Connectome Project's (HCP) 500-subject dataset. Apart from numerous natural correlations, which describe parameters computable or a…
  arxiv Balazs Szalkai, Balint Varga, Vince Grolmusz 2016-02-09T14:49:17Z 置信度 0.78 q-bio.NC
• A Network Object Method to Uncover Hidden Disorder-Related Brain Connectome
  Neuropsychiatric disorders impact functional connectivity of the brain at the network level. The identification and statistical testing of disorder-related networks remains challenging. We propose novel methods to streamline the detection and testing of the hi…
  arxiv Shuo Chen, Yishi Xing, Jian Kang, Dinesh Shukla 等 2016-09-01T19:38:14Z 置信度 0.78 stat.APq-bio.NC
• Connectomic Constraints on Computation in Feedforward Networks of Spiking Neurons
  Several efforts are currently underway to decipher the connectome or parts thereof in a variety of organisms. Ascertaining the detailed physiological properties of all the neurons in these connectomes, however, is out of the scope of such projects. It is there…
  arxiv Venkatakrishnan Ramaswamy, Arunava Banerjee 2014-02-19T08:07:40Z 置信度 0.78 q-bio.NC
• The multiscale self-similarity of the weighted human brain connectome
  Anatomical connectivity between different regions in the brain can be mapped to a network representation, the connectome, where the intensities of the links, the weights, influence its structural resilience and the functional processes it sustains. Yet, many f…
  arxiv Laia Barjuan, Muhua Zheng, M. Ángeles Serrano 2024-10-09T10:18:54Z 置信度 0.78 q-bio.NCphysics.bio-phphysics.soc-ph
• BrainViewer: interacting with spatial connectome data at the mesoscale
  Scientists construct connectomes, comprehensive descriptions of neuronal connections across a brain, in order to better understand and model brain function. Interactive visualizations of these pathways would enable exploratory analysis of such information flow…
  arxiv Seth Daetwiler, Angus Read, Jessica Stillwell, Kameron Decker Harris 2022-05-04T19:05:24Z 置信度 0.78 q-bio.NC
• Graph Contrastive Learning for Connectome Classification
  With recent advancements in non-invasive techniques for measuring brain activity, such as magnetic resonance imaging (MRI), the study of structural and functional brain networks through graph signal processing (GSP) has gained notable prominence. GSP stands as…
  arxiv Martín Schmidt, Sara Silva, Federico Larroca, Gonzalo Mateos 等 2025-02-07T17:30:47Z 置信度 0.78 cs.LG
• Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics
  The structural network of the brain, or structural connectome, can be represented by fiber bundles generated by a variety of tractography methods. While such methods give qualitative insights into brain structure, there is controversy over whether they can pro…
  arxiv Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer 等 2021-09-20T19:39:10Z 置信度 0.78 cs.CV
• Coarse-graining and criticality in the human connectome
  In the face of the stupefying complexity of the human brain, network analysis is a most useful tool that allows one to greatly simplify the problem, typically by approximating the billions of neurons comprising the brain by means of a coarse-grained picture wi…
  arxiv Youssef Kora, Christoph Simon 2023-09-29T20:57:14Z 置信度 0.78 q-bio.NCnlin.AOphysics.bio-ph
• Brain functions emerge as thermal equilibrium states of the connectome
  A fundamental idea in neuroscience is that cognitive functions -- such as perception, learning, memory, and locomotion -- are shaped and constrained by the brain's structural organization. Despite significant progress in mapping and analyzing structural connec…
  arxiv Elkaïoum M. Moutuou, Habib Benali 2024-08-26T12:35:16Z 置信度 0.78 q-bio.NCcond-mat.dis-nncond-mat.stat-mechmath.OAquant-ph
• Harmonized connectome resampling for variance in voxel sizes
  To date, there has been no comprehensive study characterizing the effect of diffusion-weighted magnetic resonance imaging voxel resolution on the resulting connectome for high resolution subject data. Similarity in results improved with higher resolution, even…
  arxiv Elyssa M. McMaster, Nancy R. Newlin, Gaurav Rudravaram, Adam M. Saunders 等 2024-08-02T15:56:27Z 置信度 0.78 physics.med-pheess.IVeess.SP
• Multi-scale graph principal component analysis for connectomics
  In brain connectomics, the cortical surface is parcellated into different regions of interest (ROIs) prior to statistical analysis. The brain connectome for each individual can then be represented as a graph, with the nodes corresponding to ROIs and edges to c…
  arxiv Steven Winter, Zhengwu Zhang, David Dunson 2020-10-05T20:58:43Z 置信度 0.78 stat.MEstat.AP
• Optimized Diffusion Imaging for Brain Structural Connectome Analysis
  High angular resolution diffusion imaging (HARDI) is a type of diffusion magnetic resonance imaging (dMRI) that measures diffusion signals on a sphere in q-space. It has been widely used in data acquisition for human brain structural connectome analysis. To mo…
  arxiv William Consagra, Arun Venkataraman, Zhengwu Zhang 2021-02-24T19:42:27Z 置信度 0.78 stat.APstat.ME
• Genetic underpinnings of brain structural connectome for young adults
  With distinct advantages in power over behavioral phenotypes, brain imaging traits have become emerging endophenotypes to dissect molecular contributions to behaviors and neuropsychiatric illnesses. Among different imaging features, brain structural connectivi…
  arxiv Yize Zhao, Changgee Chang, Jingwen Zhang, Zhengwu Zhang 2022-12-02T04:47:16Z 置信度 0.78 stat.AP
• Topological Sensitivity in Connectome-Constrained Neural Networks
  Connectome-constrained neural networks are often evaluated against sparse random controls and then interpreted as evidence that biological graph topology improves learning efficiency. We revisit that claim in a controlled flyvis-based study using a Drosophila …
  arxiv Nalin Dhiman 2026-04-05T09:23:01Z 置信度 0.78 q-bio.NCcs.LG
• Structural Connectome Validation Using Pairwise Classification
  In this work, we study the extent to which structural connectomes and topological derivative measures are unique to individual changes within human brains. To do so, we classify structural connectome pairs from two large longitudinal datasets as either belongi…
  arxiv Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz 等 2017-01-26T19:13:36Z 置信度 0.78 q-bio.NCcs.CV
• Differentiable programming for functional connectomics
  Mapping the functional connectome has the potential to uncover key insights into brain organisation. However, existing workflows for functional connectomics are limited in their adaptability to new data, and principled workflow design is a challenging combinat…
  arxiv Rastko Ciric, Armin W. Thomas, Oscar Esteban, Russell A. Poldrack 2022-05-31T10:53:31Z 置信度 0.78 q-bio.NCcs.LG
• The Frequent Complete Subgraphs in the Human Connectome
  While it is still not possible to describe the neural-level connections of the human brain, we can map the human connectome with several hundred vertices, by the application of diffusion-MRI based techniques. In these graphs, the nodes correspond to anatomical…
  arxiv Mate Fellner, Balint Varga, Vince Grolmusz 2019-03-14T13:26:38Z 置信度 0.78 q-bio.NC
• The braingraph.org Database with more than 1000 Robust Human Structural Connectomes in Five Resolutions
  The human brain is the most complex object of study we encounter today. Mapping the neuronal-level connections between the more than 80 billion neurons in the brain is a hopeless task for science. By the recent advancement of magnetic resonance imaging (MRI), …
  arxiv Balint Varga, Vince Grolmusz 2020-08-30T20:55:53Z 置信度 0.78 q-bio.NC
• Greedy low-rank algorithm for spatial connectome regression
  Recovering brain connectivity from tract tracing data is an important computational problem in the neurosciences. Mesoscopic connectome reconstruction was previously formulated as a structured matrix regression problem (Harris et al., 2016), but existing techn…
  arxiv Patrick Kürschner, Sergey Dolgov, Kameron Decker Harris, Peter Benner 2018-08-16T14:26:05Z 置信度 0.78 math.NA
• Sex-based Network-Specific Differences in Connectomes: A Krakencoder-Based Analysis
  This study examines how deficiencies in one brain connectome modality propagate to the other, using the Krakencoder as a simulation framework. Structural and functional connectomes from 702 healthy participants in the Human Connectome Project were analyzed, wi…
  arxiv Vibhashree S H, Debanjali Bhattacharya, Vamshi Krishna Kancharla, Neelam Sinha 2026-06-15T06:56:05Z 置信度 0.78 cs.CVq-bio.NC
• Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
  Structural connectomes are detailed graphs that map how different brain regions are physically connected, offering critical insight into aging, cognition, and neurodegenerative diseases. However, these connectomes are high-dimensional and densely interconnecte…
  arxiv Gaurav Rudravaram, Lianrui Zuo, Adam M. Saunders, Michael E. Kim 等 2025-11-20T02:52:17Z 置信度 0.78 q-bio.NCcs.AIcs.LG
• Constructing Compact Brain Connectomes for Individual Fingerprinting
  Recent neuroimaging studies have shown that functional connectomes are unique to individuals, i.e., two distinct fMRIs taken over different sessions of the same subject are more similar in terms of their connectomes than those from two different subjects. In t…
  arxiv Vikram Ravindra, Petros Drineas, Ananth Grama 2018-05-22T14:58:52Z 置信度 0.78 cs.CV
• Symmetry group factorization reveals the structure-function relation in the neural connectome of Caenorhabditis elegans
  The neural connectome of the nematode Caenorhabditis elegans has been completely mapped, yet in spite of being one of the smallest connectomes (302 neurons), the design principles that explain how the connectome structure determines its function remain unknown…
  arxiv Flaviano Morone, Hernan A. Makse 2019-08-28T19:40:58Z 置信度 0.78 cond-mat.dis-nnmath.GR
• Metric structural human connectomes: localization and multifractality of eigenmodes
  In this study, we explore the fundamental principles behind the architecture of the human brain's structural connectome, from the perspective of spectral analysis of Laplacian and adjacency matrices. Building on the idea that the brain strikes a balance betwee…
  arxiv Anna Bobyleva, Alexander Gorsky, Sergei Nechaev, Olga Valba 等 2024-05-27T16:54:15Z 置信度 0.78 q-bio.NCcond-mat.dis-nncond-mat.stat-mech
• Functional connectomes of neural networks
  The human brain is a complex system, and understanding its mechanisms has been a long-standing challenge in neuroscience. The study of the functional connectome, which maps the functional connections between different brain regions, has provided valuable insig…
  arxiv Tananun Songdechakraiwut, Yutong Wu 2024-12-18T03:46:30Z 置信度 0.78 cs.NEcs.AIcs.LGq-bio.NC
• Connectome Smoothing via Low-rank Approximations
  In statistical connectomics, the quantitative study of brain networks, estimating the mean of a population of graphs based on a sample is a core problem. Often, this problem is especially difficult because the sample or cohort size is relatively small, sometim…
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• The cognitive neuroscience of consciousness
  The past decade has seen an explosion of interest in the neural mechanisms underlying consciousness. Experimental approaches from cognitive neuroscience that emphasize converging evidence from multiple methodologies have changed our understanding of how consci…
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• Cognitive neuroscience of dyscalculia and math learning disabilities
  Dyscalculia and mathematical learning disability (MD) are neurodevelopmental disorders characterized by difficulties in reasoning about numbers. Children with MD lag behind their typically developing peers in a broad range of numerical tasks, including magnitu…
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• A Historical Perspective on Cognitive Neuroscience
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• Functional Imaging in Cognitive Neuroscience II
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• The Development and Cognitive Neuroscience of Anxiety
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• Developmental cognitive neuroscience
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• Cognitive training research and the search for a transformative, translational, developmental cognitive neuroscience
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• The Tools of Cognitive Neuroscience
  Learning Objectives • To describe how fMRI measures brain activity and characterize this method's spatial resolution and temporal resolution. • To describe how ERPs measure brain activity and characterize this method's spatial resolution and temporal resolutio…
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• Functional MRI Methods in Developmental Cognitive Neuroscience
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• Cognitive neuroscience of synesthesia: Introduction to the special issue
  This Special Issue of Cognitive Neuroscience showcases the latest theories and findings in research on synesthesia. The various contributions are discussed in relation to three broad themes: Models and neural mechanisms; new types of synesthesia; and cognitive…
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• Structural Imaging of Patients in Cognitive Neuroscience
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• Erratum
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• Editorial Board
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• Functional Imaging in Cognitive Neuroscience I
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• Magnetoencephalography and developmental cognitive neuroscience
  Magnetoencephalography (MEG) is an exceptionally useful tool to study child development. It measures brain waves: fluctuations in the magnetic field around the head caused by changes in the local field potential of neuronal populations that fire in synchrony. …
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• Keeping the "Cognitive" in Cognitive Neuroscience, the "Affective" in Affective Neuroscience, and the "Behavioral" in Behavioral Neuroscience: The CABN Mission for the Next Five Years
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• Index to Behaviorial and Cognitive Neuroscience Reviews
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• Introducing cognitive neuroscience
  This chapter begins by placing a number of philosophical and scientific approaches to the mind and brain in a historical perspective. Cognitive neuroscience is a bridging discipline between cognitive science and cognitive psychology. The term cognition collect…
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• Computational Modeling of Patients in Cognitive Neuroscience
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• Subliminal Priming in Subtracting One-Digit Arabic Numbers
  Background: Based on the studies which have investigated conscious and unconscious processes, simple arithmetic operations such as addition and multiplication can be automatically processed in the brain and affect subsequent responses.However, most studies hav…
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• Mapping Cognitive Neuroscience: Two-Dimensional Perspectives on Twenty Years of Cognitive Neuroscience Research
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• Methods for Cognitive Neuroscience
  Most cognitive neuroscience research employs the rationale from cognitive psychology that behavior in controlled experimental settings provides an effective, indirect, way to measure mental activity. This chapter focuses on different kinds of neuropsychology: …
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• Erratum to: Supplement: Neuroscience & Education
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• Prestige versus citation volume as journal indices in cognitive neuroscience
  In recent years, alternative measures of a journal's influence have been developed to those based on citation metrics (such as Impact Factor). This includes the Scimago Journal Rank (SJR) which is adapted from algorithms used to prioritize webpages in search e…
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• Cognitive Neuroscience
  This chapter introduces cognitive neuroscience by linking brain activity to cognition and defines the mind while contrasting dualism with materialism to argue that mental processes arise from neural mechanisms. It explains neural organization through functiona…
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• Analog Computation in Computational Cognitive Neuroscience
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• Developing developmental cognitive neuroscience: From agenda setting to hypothesis testing
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