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Guangming Lu

Researcher at Nanjing University

Publications -  534
Citations -  17045

Guangming Lu is an academic researcher from Nanjing University. The author has contributed to research in topics: Medicine & Resting state fMRI. The author has an hindex of 60, co-authored 476 publications receiving 13218 citations. Previous affiliations of Guangming Lu include Xuzhou Medical College & Nanjing University of Aeronautics and Astronautics.

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Altered Functional Connectivity and Small-World in Mesial Temporal Lobe Epilepsy

TL;DR: The mTLE alterations observed in functional connectivity and topological properties may be used to define tentative disease markers, including altered small-world properties in patients, along with smaller degree of connectivity, increased n-to-1 connectivity, smaller absolute clustering coefficients and shorter absolute path length.
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Altered functional–structural coupling of large-scale brain networks in idiopathic generalized epilepsy

TL;DR: It is demonstrated for the first time that idiopathic generalized epilepsy is reflected in a disrupted topological organization in large-scale brain functional and structural networks, thus providing valuable information for better understanding the pathophysiological mechanisms of generalized tonic-clonic seizures.
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An open science resource for establishing reliability and reproducibility in functional connectomics

Xi-Nian Zuo, +85 more
- 09 Dec 2014 - 
TL;DR: The Consortium for Reliability and Reproducibility (CoRR) has aggregated 1,629 typical individuals’ resting state fMRI data from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI).
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Default mode network abnormalities in mesial temporal lobe epilepsy: a study combining fMRI and DTI.

TL;DR: The results suggest that the decreased functional connectivity within the DMN in mTLE may be a consequence of the decreased connection density underpinning the degeneration of structural connectivity.
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Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders

TL;DR: This work draws attention to the identification of diametrically opposing patterns of variability changes between schizophrenia and attention deficit hyperactivity disorder/autism and provides insights into the dynamic organization of the resting brain and how it changes in brain disorders.