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Structure and function of complex brain networks

Published on Sep 1, 2013in Dialogues in clinical neuroscience4.87
Olaf Sporns78
Estimated H-index: 78
Abstract
An increasing number of theoretical and empirical studies approach the function of the human brain from a network perspective. The analysis of brain networks is made feasible by the development of new imaging acquisition methods as well as new tools from graph theory and dynamical systems. This review surveys some of these methodological advances and summarizes recent findings on the architecture of structural and functional brain networks. Studies of the structural connectome reveal several modules or network communities that are interlinked by hub regions mediating communication processes between modules. Recent network analyses have shown that network hubs form a densely linked collective called a “rich club,” centrally positioned for attracting and dispersing signal traffic. In parallel, recordings of resting and task-evoked neural activity have revealed distinct resting-state networks that contribute to functions in distinct cognitive domains. Network methods are increasingly applied in a clinical context, and their promise for elucidating neural substrates of brain and mental disorders is discussed.
  • References (2)
  • Citations (250)
References2
Newest
Published on Aug 31, 2012
Olaf Sporns78
Estimated H-index: 78
(IU: Indiana University)
Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. The human brain is a network of extraordinary complexity--a network not by way of metaphor, but in a precise and mathematical sense: an intricate web of billions of neurons connected by trillions of synapses. How this network is connected is important for virtually all facets of the brain's integrati...
Published on Jan 1, 2005in PLOS Computational Biology
Olaf Sporns78
Estimated H-index: 78
,
Giulio Tononi96
Estimated H-index: 96
,
Rolf Koetter31
Estimated H-index: 31
The connection matrix of the human brain (the human “connectome”) represents an indispensable foundation for basic and applied neurobiological research. However, the network of anatomical connections linking the neuronal elements of the human brain is still largely unknown. While some databases or collations of large-scale anatomical connection patterns exist for other mammalian species, there is currently no connection matrix of the human brain, nor is there a coordinated research effort to col...
Cited By250
Newest
Published on Apr 15, 2019in Nature Communications11.88
Yuankun Xue7
Estimated H-index: 7
(SC: University of Southern California),
Paul Bogdan21
Estimated H-index: 21
(SC: University of Southern California)
Interactions within complex network components define their operational modes, collective behaviors and global functionality. Understanding the role of these interactions is limited by either sensing methodologies or intentional adversarial efforts that sabotage the network structure. To overcome the partial observability and infer with good fidelity the unobserved network structures (latent subnetworks that are not random samples of the full network), we propose a general causal inference frame...
Published on Apr 12, 2019in Translational Psychiatry5.18
Giorgia Michelini7
Estimated H-index: 7
(SBU: Stony Brook University),
Giorgia Michelini (SBU: Stony Brook University)+ 5 AuthorsIman Mohammad-Rezazadeh4
Estimated H-index: 4
(Semel Institute for Neuroscience and Human Behavior)
We previously provided initial evidence for cognitive and event-related potential markers of persistence/remission of attention-deficit/hyperactivity disorder (ADHD) from childhood to adolescence and adulthood. Here, using a novel brain-network connectivity approach, we aimed to examine whether task-based functional connectivity reflects a marker of ADHD remission or an enduring deficit unrelated to ADHD outcome. High-density EEG was recorded in a follow-up of 110 adolescents and young adults wi...
Published on 2019in Scientific Reports4.01
Bosiljka Tadić21
Estimated H-index: 21
,
Miroslav Andjelković4
Estimated H-index: 4
(University of Belgrade),
Roderick Melnik24
Estimated H-index: 24
(WLU: Wilfrid Laurier University)
Mapping the brain imaging data to networks, where nodes represent anatomical brain regions and edges indicate the occurrence of fiber tracts between them, has enabled an objective graph-theoretic analysis of human connectomes. However, the latent structure on higher-order interactions remains unexplored, where many brain regions act in synergy to perform complex functions. Here we use the simplicial complexes description of human connectome, where the shared simplexes encode higher-order relatio...
Marianna Milano6
Estimated H-index: 6
,
Pietro Hiram Guzzi20
Estimated H-index: 20
,
Mario Cannataro2
Estimated H-index: 2
The study of connectome, the complex system of connections in the human brain, has gained a central role in neurosciences. It has turned out to be popular in the field of neuroimaging to model and analyze the brain represented by a network. The graph model of the brain is a framework used to represent neuroanatomical regions or region of interest (ROI) as nodes and their connections. These connections, or edges, can either be functional, by representing physiological activity, or can be structur...
Published on Dec 1, 2019in Scientific Reports4.01
Verónica de la Fuente2
Estimated H-index: 2
(UBA: University of Buenos Aires),
Candela Medina1
Estimated H-index: 1
(UBA: University of Buenos Aires)
+ 6 AuthorsArturo Romano30
Estimated H-index: 30
(UBA: University of Buenos Aires)
Memories are a product of the concerted activity of many brain areas. Deregulation of consolidation and reprocessing of mnemonic traces that encode fearful experiences might result in fear-related psychopathologies. Here, we assessed how pre-established memories change with experience, particularly the labilization/reconsolidation of memory, using the whole-brain analysis technique of positron emission tomography in male mice. We found differences in glucose consumption in the lateral neocortex,...
Published on Feb 27, 2019in Scientific Reports4.01
Sol Lim1
Estimated H-index: 1
(University of Cambridge),
Filippo Radicchi27
Estimated H-index: 27
(IU: Indiana University Bloomington)
+ 1 AuthorsOlaf Sporns78
Estimated H-index: 78
(IU: Indiana University Bloomington)
Several studies have suggested that functional connectivity (FC) is constrained by the underlying structural connectivity (SC) and mutually correlated. However, not many studies have focused on differences in the network organization of SC and FC, and on how these differences may inform us about their mutual interaction. To explore this issue, we adopt a multi-layer framework, with SC and FC, constructed using Magnetic Resonance Imaging (MRI) data from the Human Connectome Project, forming a two...
Published on 2019in Journal of Neuroscience Methods2.79
Olfa Graa (University of Sousse), Islem Rekik9
Estimated H-index: 9
(ITU: Istanbul Technical University)
Abstract Background: Multi-view data representation learning explores the relationship between the views and provides rich complementary information that can improve computer-aided diagnosis. Specifically, existing machine learning methods devised to automate neurological disorder diagnosis using brain data provided new insights into how a particular disorder such as autism spectrum disorder (ASD) alters the brain construct. However, the performance of machine learning methods highly depends on ...
Published on May 1, 2019in NeuroImage5.81
Yusuf Osmanlioglu3
Estimated H-index: 3
,
Birkan Tunç8
Estimated H-index: 8
+ 7 AuthorsRagini Verma28
Estimated H-index: 28
Abstract The brain can be considered as an information processing network, where complex behavior manifests as a result of communication between large-scale functional systems such as visual and default mode networks. As the communication between brain regions occurs through underlying anatomical pathways, it is important to define a “traffic pattern” that properly describes how the regions exchange information. Empirically, the choice of the traffic pattern can be made based on how well the fun...
Published on Oct 1, 2019in NeuroImage5.81
Wei He8
Estimated H-index: 8
(Macquarie University),
Paul F. Sowman14
Estimated H-index: 14
(Macquarie University)
+ 3 AuthorsArjan Hillebrand (VU: VU University Amsterdam)
Abstract A growing literature conceptualises typical brain development from a network perspective. However, largely due to technical and methodological challenges inherent in paediatric functional neuroimaging, there remains an important gap in our knowledge regarding the typical development of functional brain networks in “preschool” childhood (i.e., children younger than 6 years of age). In this study, we recorded brain oscillatory activity using age-appropriate magnetoencephalography in 24 ch...
Published on Dec 1, 2018in Sleep Medicine3.36
Yaqing Huang (Nanjing Medical University), Yuting Liu1
Estimated H-index: 1
(Nanjing Medical University)
+ 7 AuthorsTing Chen1
Estimated H-index: 1
(SEU: Southeast University)
Abstract Objective To explore the small-world properties of brain functional networks in patients with obstructive sleep apnea−hypopnea syndrome (OSAHS) to aid diagnosis. Methods A total of 29 OSAHS patients and 26 matched healthy volunteers were scanned with blood oxygen level−dependent functional magnetic resonance imaging (BOLD-fMRI) separately, and the whole brain was divided into 90 districts via automated anatomical labeling. The matrix Z was then built through a Fisher Z transformation. T...
View next paperComplex brain networks: graph theoretical analysis of structural and functional systems