Controllability and Robustness of Functional and Structural Connectomic Networks in Glioma Patients
暂无分享,去创建一个
K. Jütten | Chuh-Hyoun Na | A. Stadlbauer | T. Kinfe | A. Amani | U. Meyer-Baese | Anke Meyer-Baese | Hagen Malberg | A. Meyer-Baese
[1] K. Peck,et al. Brain Functional Connectivity in Low- and High-Grade Gliomas: Differences in Network Dynamics Associated with Tumor Grade and Location , 2022, Cancers.
[2] C. Stam,et al. Regional healthy brain activity, glioma occurrence and symptomatology , 2022, medRxiv.
[3] A. Meyer-Baese,et al. Structural Target Controllability of Brain Networks in Dementia , 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
[4] M. V. van Zandvoort,et al. The frontal aslant tract and its role in executive functions: a quantitative tractography study in glioma patients , 2021, Brain Imaging and Behavior.
[5] H. Duffau. Dynamic Interplay between Lower-Grade Glioma Instability and Brain Metaplasticity: Proposal of an Original Model to Guide the Therapeutic Strategy , 2021, Cancers.
[6] M. Wiesmann,et al. Dissociation of structural and functional connectomic coherence in glioma patients , 2021, Scientific Reports.
[7] H. Duffau,et al. Homotopic redistribution of functional connectivity in insula-centered diffuse low-grade glioma , 2021, NeuroImage: Clinical.
[8] H. Duffau. Can Non-invasive Brain Stimulation Be Considered to Facilitate Reoperation for Low-Grade Glioma Relapse by Eliciting Neuroplasticity? , 2020, Frontiers in Neurology.
[9] J. Suckling,et al. Genetic, cellular, and connectomic characterization of the brain regions commonly plagued by glioma , 2020, Brain : a journal of neurology.
[10] Guanrong Chen,et al. A Framework of Hierarchical Attacks to Network Controllability , 2020, Commun. Nonlinear Sci. Numer. Simul..
[11] M. Wiesmann,et al. Asymmetric tumor‐related alterations of network‐specific intrinsic functional connectivity in glioma patients , 2020, Human brain mapping.
[12] Hesheng Liu,et al. Resting-state fMRI Detects Alterations in Whole Brain Connectivity Related to Tumor Biology in Glioma Patients. , 2020, Neuro-oncology.
[13] M. Wiesmann,et al. Diffusion Tensor Imaging Reveals Microstructural Heterogeneity of Normal-Appearing White Matter and Related Cognitive Dysfunction in Glioma Patients , 2019, Front. Oncol..
[14] Ignacio A. Illán,et al. Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks , 2017, Front. Comput. Neurosci..
[15] M. V. van Zandvoort,et al. Tumor-related neurocognitive dysfunction in patients with diffuse glioma: a systematic review of neurocognitive functioning prior to anti-tumor treatment , 2017, Journal of Neuro-Oncology.
[16] Linda Douw,et al. Connectomic profile and clinical phenotype in newly diagnosed glioma patients , 2017, NeuroImage: Clinical.
[17] Zhe-Ming Lu,et al. Attack Vulnerability of Network Controllability , 2016, PloS one.
[18] G. Reifenberger,et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary , 2016, Acta Neuropathologica.
[19] O. Garaschuk,et al. Brain tumour cells interconnect to a functional and resistant network , 2015, Nature.
[20] Alexander R. Pico,et al. Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors. , 2015, The New England journal of medicine.
[21] Kyle R. Noll,et al. Relationships between tumor grade and neurocognitive functioning in patients with glioma of the left temporal lobe prior to surgical resection. , 2015, Neuro-oncology.
[22] Meng Li,et al. Disrupted brain anatomical connectivity in medication-naïve patients with first-episode schizophrenia , 2015, Brain Structure and Function.
[23] Linda Douw,et al. Neural network alterations underlie cognitive deficits in brain tumor patients , 2014, Current opinion in oncology.
[24] H. Duffau. The huge plastic potential of adult brain and the role of connectomics: New insights provided by serial mappings in glioma surgery , 2014, Cortex.
[25] John Doyle,et al. Study of the brain functional network using synthetic data , 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[26] Jean M. Vettel,et al. Controllability of structural brain networks , 2014, Nature Communications.
[27] Wen-Xu Wang,et al. Exact controllability of complex networks , 2013, Nature Communications.
[28] Thomas R. Knösche,et al. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.
[29] P. Dechent,et al. Glioma infiltration of the corpus callosum: early signs detected by DTI , 2013, Journal of Neuro-Oncology.
[30] Cunlai Pu,et al. Robustness analysis of network controllability , 2012 .
[31] Gian Luca Romani,et al. Modifications of Default-Mode Network Connectivity in Patients with Cerebral Glioma , 2012, PloS one.
[32] Dirk Troost,et al. Addressing diffuse glioma as a systemic brain disease with single-cell analysis. , 2012, Archives of neurology.
[33] Piet Van Mieghem,et al. Graph Spectra for Complex Networks , 2010 .
[34] A. Willsky,et al. Consistent and efficient reconstruction of latent tree models , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[35] J. Henson,et al. Plasticity , 2010, Neurology.
[36] O. Ganslandt,et al. Diffusion tensor imaging and white matter tractography in patients with brainstem lesions , 2007, Acta Neurochirurgica.
[37] M. Desmurget,et al. Contrasting acute and slow-growing lesions: a new door to brain plasticity. , 2006, Brain : a journal of neurology.
[38] M. Burke,et al. BOLD response during uncoupling of neuronal activity and CBF , 2006, NeuroImage.
[39] J D Pickard,et al. Diffusion tensor imaging of brain tumours at 3T: a potential tool for assessing white matter tract invasion? , 2003, Clinical radiology.
[40] D. J. Warren,et al. High-resolution two-dimensional spatial mapping of cat striate cortex using a 100-microelectrode array , 2001, Neuroscience.
[41] K Doi,et al. Computerized detection of clustered microcalcifications in digital mammograms: applications of artificial neural networks. , 1992, Medical physics.
[42] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[43] Susan Y. Bookheimer,et al. Altered functional connectivity of the default mode network in diffuse gliomas measured with pseudo-resting state fMRI , 2013, Journal of Neuro-Oncology.
[44] M. Fiedler. Algebraic connectivity of graphs , 1973 .