Results 101 to 110 of about 239,550 (307)

Same as Fig 12, but for the clustering coefficient.

, 2021
Same as Fig 12, but for the clustering coefficient.
Víctor Muñoz (11719321), N. Elizabeth Garcés (11719324)   +1 more
core   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Time-dependent degree-degree correlations in epileptic brain networks: from assortative to dissortative mixing

Frontiers in Human Neuroscience, 2015
We investigate the long-term evolution of degree-degree correlations (assortativity) in functional brain networks from epilepsy patients. Functional networks are derived from continuous multi-day, multi-channel electroencephalographic data, which capture
Christian eGeier, Christian eGeier, Klaus eLehnertz, Klaus eLehnertz, Klaus eLehnertz, Stephan eBialonski   +5 more
doaj   +1 more source

Correction: The thalamic clustering coefficient moderates the vigor-sleep quality relationship. [PDF]

Sleep Biol Rhythms, 2023
Ding X, Li Q, Tang YY.
europepmc   +1 more source

Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient

CoRR, 2019
In this paper, we propose a novel statistic of networks, the normalized clustering coefficient, which is a modified version of the clustering coefficient that is robust to network size, network density and degree heterogeneity under different network generative models.
Ting Li, Xianshi Yu, Bing-Yi Jing
openaire   +2 more sources

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

The thalamic clustering coefficient moderates the vigor-sleep quality relationship. [PDF]

Sleep Biol Rhythms, 2023
Ding X, Li Q, Tang YY.
europepmc   +1 more source

A Clustering Coefficient Network Formation Game

, 2011
For the most up-to-date version please visit http://www.cis.upenn.edu/~brautbar/ccgame ...
Mickey Brautbar, Michael J. Kearns
openaire   +3 more sources

The clustering coefficient of a scale-free random graph

Discrete Applied Mathematics, 2011
17 pages ...
Nicole Eggemann, Steven D. Noble
openaire   +3 more sources

The Influence of the Clustering Coefficient on Spoken Word Recognition [PDF]

, 2007
The clustering coefficient refers to the proportion of phonological neighbors of a target word that are also neighbors of each other. The influence of the clustering coefficient on spoken word recognition was examined in the present study.
Chan, Kit Ying
core