Functional Hubs in Mild Cognitive Impairment

被引:11
作者
Navas, Adrian [1 ]
Papo, David [1 ]
Boccaletti, Stefano [1 ]
Del-Pozo, F. [1 ]
Bajo, Ricardo [2 ]
Maestu, Fernando [2 ]
Martinez, J. H. [3 ,4 ]
Gil, Pablo [5 ]
Sendina-Nadal, Irene [6 ,7 ]
Buldu, Javier M. [6 ,7 ]
机构
[1] Ctr Biomed Technol UPM, Madrid 28922, Spain
[2] Ctr Biomed Technol UPM, Cognit & Computat Neurosci Lab, Madrid 28922, Spain
[3] Tech Univ Madrid, Complex Syst Grp, Madrid, Spain
[4] Univ Rosario Colombia, Modelling & Simulat Lab, Lab Biol Networks, Bogota, Colombia
[5] Hosp Clin San Carlos, Memory Unit, Madrid 28040, Spain
[6] URJC, Complex Syst Grp, Mostoles 28933, Spain
[7] Ctr Biomed Technol UPM, Lab Biol Networks, Madrid 28922, Spain
来源
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2015年 / 25卷 / 03期
关键词
Functional brain networks; synchronization likelihood; centrality; hub characterization; mild cognitive impairment; GRAPH-THEORETICAL ANALYSIS; ALZHEIMER-DISEASE; MEMORY TASK; CONNECTIVITY; NETWORKS; SYNCHRONIZATION;
D O I
10.1142/S0218127415500340
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We investigate how hubs of functional brain networks are modified as a result of mild cognitive impairment (MCI), a condition causing a slight but noticeable decline in cognitive abilities, which sometimes precedes the onset of Alzheimer's disease. We used magnetoencephalography (MEG) to investigate the functional brain networks of a group of patients suffering from MCI and a control group of healthy subjects, during the execution of a short-term memory task. Couplings between brain sites were evaluated using synchronization likelihood, from which a network of functional interdependencies was constructed and the centrality, i.e. importance, of their nodes was quantified. The results showed that, with respect to healthy controls, MCI patients were associated with decreases and increases in hub centrality respectively in occipital and central scalp regions, supporting the hypothesis that MCI modifies functional brain network topology, leading to more random structures.
引用
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页数:10
相关论文
共 41 条
[1]   A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs [J].
Achard, S ;
Salvador, R ;
Whitcher, B ;
Suckling, J ;
Bullmore, ET .
JOURNAL OF NEUROSCIENCE, 2006, 26 (01) :63-72
[2]   Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[3]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[4]   Fronto-parietal coupling of brain rhythms in mild cognitive impairment: A multicentric EEG study [J].
Babiloni, C ;
Ferri, R ;
Binetti, G ;
Cassarino, A ;
Dal Forno, G ;
Ercolani, M ;
Ferreri, F ;
Frisoni, GB ;
Lanuzza, B ;
Miniussi, C ;
Nobili, F ;
Rodriguez, G ;
Rundo, F ;
Stam, CJ ;
Musha, T ;
Vecchio, F ;
Rossini, PM .
BRAIN RESEARCH BULLETIN, 2006, 69 (01) :63-73
[5]   Functional Connectivity in Mild Cognitive Impairment During a Memory Task: Implications for the Disconnection Hypothesis [J].
Bajo, Ricardo ;
Maestu, Fernando ;
Nevado, Angel ;
Sancho, Miguel ;
Gutierrez, Ricardo ;
Campo, Pablo ;
Castellanos, Nazareth P. ;
Gil, Pedro ;
Moratti, Stephan ;
Pereda, Ernesto ;
del-Pozo, Francisco .
JOURNAL OF ALZHEIMERS DISEASE, 2010, 22 (01) :183-193
[6]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[7]   Hierarchical organization of human cortical networks in health and schizophrenia [J].
Bassett, Danielle S. ;
Bullmore, Edward T. ;
Verchinski, Beth A. ;
Mattay, Venkata S. ;
Weinberger, Daniel R. ;
Meyer-Lindenberg, Andreas .
JOURNAL OF NEUROSCIENCE, 2008, 28 (37) :9239-9248
[8]   Complex networks: Structure and dynamics [J].
Boccaletti, S. ;
Latora, V. ;
Moreno, Y. ;
Chavez, M. ;
Hwang, D. -U. .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5) :175-308
[9]   The synchronization of chaotic systems [J].
Boccaletti, S ;
Kurths, J ;
Osipov, G ;
Valladares, DL ;
Zhou, CS .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2002, 366 (1-2) :1-101
[10]   Nonlinear interdependence in neural systems: Motivation, theory, and relevance [J].
Breakspear, M ;
Terry, JR .
INTERNATIONAL JOURNAL OF NEUROSCIENCE, 2002, 112 (10) :1263-1284