Literature DB >> 26544769

Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery.

Michael G Hart1,2, Rolf J F Ypma1,3, Rafael Romero-Garcia1, Stephen J Price2, John Suckling1.   

Abstract

Neuroanatomy has entered a new era, culminating in the search for the connectome, otherwise known as the brain's wiring diagram. While this approach has led to landmark discoveries in neuroscience, potential neurosurgical applications and collaborations have been lagging. In this article, the authors describe the ideas and concepts behind the connectome and its analysis with graph theory. Following this they then describe how to form a connectome using resting state functional MRI data as an example. Next they highlight selected insights into healthy brain function that have been derived from connectome analysis and illustrate how studies into normal development, cognitive function, and the effects of synthetic lesioning can be relevant to neurosurgery. Finally, they provide a précis of early applications of the connectome and related techniques to traumatic brain injury, functional neurosurgery, and neurooncology.

Entities:  

Keywords:  BOLD = blood oxygenation level dependent; DBS = deep brain stimulation; DMN = default mode network; EEG = electroencephalography; ICA = independent component analysis; MEG = magnetoencephalography; MRI = magnetic resonance imaging; PET = positron emission tomography; TBI = traumatic brain injury; fMRI = functional MRI; functional connectivity; functional neurosurgery; neurooncology; resting fMRI; resting state networks; traumatic brain injury

Mesh:

Year:  2015        PMID: 26544769     DOI: 10.3171/2015.4.JNS142683

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  22 in total

1.  Global Effects of Focal Brain Tumors on Functional Complexity and Network Robustness: A Prospective Cohort Study.

Authors:  Michael G Hart; Rafael Romero-Garcia; Stephen J Price; John Suckling
Journal:  Neurosurgery       Date:  2019-06-01       Impact factor: 4.654

2.  Multisensory integration processing during olfactory-visual stimulation-An fMRI graph theoretical network analysis.

Authors:  Isabelle Ripp; Anna-Nora Zur Nieden; Sonja Blankenagel; Nicolai Franzmeier; Johan N Lundström; Jessica Freiherr
Journal:  Hum Brain Mapp       Date:  2018-05-07       Impact factor: 5.038

Review 3.  Resting-state functional MR imaging shed insights into the brain of diabetes.

Authors:  Yun Fei Wang; Xue Man Ji; Guang Ming Lu; Long Jiang Zhang
Journal:  Metab Brain Dis       Date:  2016-07-26       Impact factor: 3.584

Review 4.  Applications of Resting State Functional MR Imaging to Traumatic Brain Injury.

Authors:  Thomas J O'Neill; Elizabeth M Davenport; Gowtham Murugesan; Albert Montillo; Joseph A Maldjian
Journal:  Neuroimaging Clin N Am       Date:  2017-08-18       Impact factor: 2.264

5.  Eigenvector PageRank difference as a measure to reveal topological characteristics of the brain connectome for neurosurgery.

Authors:  Onur Tanglay; Isabella M Young; Nicholas B Dadario; Hugh M Taylor; Peter J Nicholas; Stéphane Doyen; Michael E Sughrue
Journal:  J Neurooncol       Date:  2022-02-04       Impact factor: 4.130

6.  Traumatic Brain Injury Severity in a Network Perspective: A Diffusion MRI Based Connectome Study.

Authors:  Reut Raizman; Ido Tavor; Anat Biegon; Sagi Harnof; Chen Hoffmann; Galia Tsarfaty; Eyal Fruchter; Lucian Tatsa-Laur; Mark Weiser; Abigail Livny
Journal:  Sci Rep       Date:  2020-06-04       Impact factor: 4.379

7.  Tumor-related neurocognitive dysfunction in patients with diffuse glioma: a retrospective cohort study prior to antitumor treatment.

Authors:  Emma van Kessel; Michelle A C Emons; Irene H Wajer; Kirsten M van Baarsen; Marike L Broekman; Pierre A Robe; Tom J Snijders; Martine J E Van Zandvoort
Journal:  Neurooncol Pract       Date:  2019-04-22

Review 8.  From Structure to Circuits: The Contribution of MEG Connectivity Studies to Functional Neurosurgery.

Authors:  Elizabeth W Pang; O C Snead Iii
Journal:  Front Neuroanat       Date:  2016-06-21       Impact factor: 3.856

Review 9.  Computational Modeling and Neuroimaging Techniques for Targeting during Deep Brain Stimulation.

Authors:  Jennifer A Sweet; Jonathan Pace; Fady Girgis; Jonathan P Miller
Journal:  Front Neuroanat       Date:  2016-06-30       Impact factor: 3.856

10.  Connectome analysis for pre-operative brain mapping in neurosurgery.

Authors:  Michael G Hart; Stephen J Price; John Suckling
Journal:  Br J Neurosurg       Date:  2016-07-22       Impact factor: 1.596

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.