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brain networks

Analysis of EEG signals using complex brain
networks

Analysis of EEG signals using complex brain networks

... human brain is so complex that two mega projects, the Human Brain Project and the BRAIN Initiative project, are under way in the hope of answering im- portant questions for peoples’ health and ...

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A review of structural and functional brain networks: small world and atlas

A review of structural and functional brain networks: small world and atlas

... functional networks, some predefined parcellation atlases, the automated ana- tomical labeling (AAL) and automatic nonlinear imaging matching and anatomical labeling (ANIMAL) atlases, have been widely used [12, ...

8

Structure function clustering in multiplex brain networks

Structure function clustering in multiplex brain networks

... complex networks that allows for the treatment of two or more interacting network structures simultaneously ...functional brain networks, thereby gaining additional insights into impor- tant ...

7

Analysis of EEG signals using complex brain
networks

Analysis of EEG signals using complex brain networks

... To efficiently identify seizures from epileptic EEG signals, a previous work (Zhu et al. 2012a) has shown that seizures can be identified with 100% accuracy, but that identification speed is not perfect. On the other ...

172

Control Theoretic Analysis of Human Brain Networks

Control Theoretic Analysis of Human Brain Networks

... the brain may move between diverse cognitive ...structural brain networks estimated from diffusion imaging data acquired in a large cohort of 48 healthy individuals and 11 patients with mild ...

183

Cholinergic and perfusion brain networks in Parkinson disease dementia

Cholinergic and perfusion brain networks in Parkinson disease dementia

... convergent brain networks and thus fails to project on specific cognitive and clinical parameters or that patterns derived from combined (control – demen- tia) cohorts are less ...key networks from ...

9

Generalised stochastic blockmodels and their applications in the analysis of brain networks

Generalised stochastic blockmodels and their applications in the analysis of brain networks

... the networks’ organisation across di↵erent connectivity types (structural and functional) and disease ...di↵erent networks. However, when we have multiple networks per subject, it seems more ...

176

Brain networks in people after a first unprovoked seizure

Brain networks in people after a first unprovoked seizure

... At the nodal level, a few nodes had significantly different clustering coefficient and local efficiency, but they lacked reproducibility, as they were different between resting-state scans. In addition, no significant ...

100

Brain networks in Huntington disease

Brain networks in Huntington disease

... Recent studies have focused on understanding the neural mechanisms underlying the emergence of clinical signs and symptoms in early stage Huntington disease (HD). Although cell-based assays have focused on cell ...

10

A weighted communicability measure applied to complex brain networks

A weighted communicability measure applied to complex brain networks

... (mesoscale); and (iii) anatomically distinct brain regions and corresponding inter- regional pathways (macroscale). In this work, due to the resolution limits of MRI data, we focus on the macroscale description of ...

8

Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging

Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging

... The diffusion tensor component of the atlas was used to perform whole brain, de- terministic fiber tractography [63]. Landmarks were manually placed in the T1 component of the atlas in order to extract well ...

168

Shoulder Apprehension Impacts Large Scale Functional Brain Networks

Shoulder Apprehension Impacts Large Scale Functional Brain Networks

... brain extraction in BET (Brain Extraction Tool, part of FSL), tis- sue-type segmentation by FAST4 (part of FSL), nonlinear trans- formation into Montreal Neurological Institute reference space, and creation ...

7

Spreading dynamics on spatially constrained complex brain networks

Spreading dynamics on spatially constrained complex brain networks

... rat brain to define a neural network whose spatial embedding represents accurately the structure of the cortical ...scale-free networks) or signalling processes on the network dy- ...

16

Inhomogeneous Coherent States in Small-World Networks: Application to the Brain Networks

Inhomogeneous Coherent States in Small-World Networks: Application to the Brain Networks

... Discuss the problem of transition from the large world to the small one in networks. Rather, a smooth crossover is realized as the number of shortcuts grows. The small world within the limit of the infinite number ...

5

Linking Functional Brain Networks To Psychopathology And Beyond

Linking Functional Brain Networks To Psychopathology And Beyond

... of brain development (Satterthwaite et ...affect brain function, history of inpatient psychiatric hospitalization, use of psychoactive medications at the time of data ...

209

Functional, Clustered, Feedforward, and Mesoscale Brain Networks

Functional, Clustered, Feedforward, and Mesoscale Brain Networks

... intense brain remodeling and a sensitive period for the pathophysiology of mental ...on brain connectivity remains ...entire brain, and the Allen Mouse Common Coordinate ...

136

Brain networks underlying bistable perception

Brain networks underlying bistable perception

... We created two spherical seed ROIs, 2 mm in radius, one centered in aSPL and the other in pSPL. The time series of these regions were extracted and used as explanatory variables in a separate subject level functional ...

12

Brain structural networks and connectomes: the brain–obesity interface and its impact on mental health

Brain structural networks and connectomes: the brain–obesity interface and its impact on mental health

... structural brain networks were calculated, including clus- tering coefficient (C), normalized clustering coefficient ( γ ), local efficiency (E local ), characteristic path length (L), normal- ized ...

10

Multi-frequency analysis of brain connectivity networks in migraineurs: a magnetoencephalography study

Multi-frequency analysis of brain connectivity networks in migraineurs: a magnetoencephalography study

... of brain networks. The disrupted organization of brain networks can be characterized as (1) increased strength in the slow wave ...the brain areas ...the brain indi- cates ...

10

Topological properties of modular networks, with a focus on networks of functional connections in the human brain

Topological properties of modular networks, with a focus on networks of functional connections in the human brain

... generating networks: networks expand continuously by the addition of new vertices that will preferentially attach to well connected vertices [Barabási and Albert, ...These networks are therefore ...

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