Small-worldness characteristics and its gender relation in specific hemispheric networks

•Graph theory approach as a way to quantify brain connectivity.•Gender small-worldness differences in EEG resting state networks.•Resting state networks: Attentional, Frontal, Sensorimotor, Default Mode Network. Aim of this study was to verify whether the topological organization of human brain func...

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Vydané v:	Neuroscience Ročník 310; s. 1 - 11
Hlavní autori:	Miraglia, F., Vecchio, F., Bramanti, P., Rossini, P.M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 03.12.2015
Predmet:	Analysis of Variance Attention - physiology Brain Mapping Case-Control Studies Computer Graphics EEG Electroencephalography Female functional connectivity Functional Laterality - physiology gender graph theory Humans Interpersonal Relations Male Middle Aged Models, Neurological Neural Pathways - physiology Neurology Rest - physiology resting state Sex Characteristics small world networks small world networks DMN SW gender graph theory ICA EEG FN RSN AN ROI resting state functional connectivity ANOVA SN BA Default Mode Network resting state networks Region of Interest Attentional Networks independent component analysis small world analysis of variance Sensorimotor Network Frontal Networks Brodmann Areas
ISSN:	0306-4522, 1873-7544
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Abstract	•Graph theory approach as a way to quantify brain connectivity.•Gender small-worldness differences in EEG resting state networks.•Resting state networks: Attentional, Frontal, Sensorimotor, Default Mode Network. Aim of this study was to verify whether the topological organization of human brain functional networks is different for males and females in resting state EEGs. Undirected and weighted brain networks were computed by eLORETA lagged linear connectivity in 130 subjects (59 males and 71 females) within each hemisphere and in four resting state networks (Attentional Network (AN), Frontal Network (FN), Sensorimotor Network (SN), Default Mode Network (DMN)). We found that small-world (SW) architecture in the left hemisphere Frontal network presented differences in both delta and alpha band, in particular lower values in delta and higher in alpha 2 in males respect to females while in the right hemisphere differences were found in lower values of SW in males respect to females in gamma Attentional, delta Sensorimotor and delta and gamma DMNs. Gender small-worldness differences in some of resting state networks indicated that there are specific brain differences in the EEG rhythms when the brain is in the resting-state condition. These specific regions could be considered related to the functions of behavior and cognition and should be taken into account both for research on healthy and brain diseased subjects.
AbstractList	Aim of this study was to verify whether the topological organization of human brain functional networks is different for males and females in resting state EEGs. Undirected and weighted brain networks were computed by eLORETA lagged linear connectivity in 130 subjects (59 males and 71 females) within each hemisphere and in four resting state networks (Attentional Network (AN), Frontal Network (FN), Sensorimotor Network (SN), Default Mode Network (DMN)). We found that small-world (SW) architecture in the left hemisphere Frontal network presented differences in both delta and alpha band, in particular lower values in delta and higher in alpha 2 in males respect to females while in the right hemisphere differences were found in lower values of SW in males respect to females in gamma Attentional, delta Sensorimotor and delta and gamma DMNs. Gender small-worldness differences in some of resting state networks indicated that there are specific brain differences in the EEG rhythms when the brain is in the resting-state condition. These specific regions could be considered related to the functions of behavior and cognition and should be taken into account both for research on healthy and brain diseased subjects. •Graph theory approach as a way to quantify brain connectivity.•Gender small-worldness differences in EEG resting state networks.•Resting state networks: Attentional, Frontal, Sensorimotor, Default Mode Network. Aim of this study was to verify whether the topological organization of human brain functional networks is different for males and females in resting state EEGs. Undirected and weighted brain networks were computed by eLORETA lagged linear connectivity in 130 subjects (59 males and 71 females) within each hemisphere and in four resting state networks (Attentional Network (AN), Frontal Network (FN), Sensorimotor Network (SN), Default Mode Network (DMN)). We found that small-world (SW) architecture in the left hemisphere Frontal network presented differences in both delta and alpha band, in particular lower values in delta and higher in alpha 2 in males respect to females while in the right hemisphere differences were found in lower values of SW in males respect to females in gamma Attentional, delta Sensorimotor and delta and gamma DMNs. Gender small-worldness differences in some of resting state networks indicated that there are specific brain differences in the EEG rhythms when the brain is in the resting-state condition. These specific regions could be considered related to the functions of behavior and cognition and should be taken into account both for research on healthy and brain diseased subjects. Highlights • Graph theory approach as a way to quantify brain connectivity. • Gender small-worldness differences in EEG resting state networks. • Resting state networks: Attentional, Frontal, Sensorimotor, Default Mode Network.
Author	Bramanti, P. Miraglia, F. Vecchio, F. Rossini, P.M.
Author_xml	– sequence: 1 givenname: F. surname: Miraglia fullname: Miraglia, F. email: fra.miraglia@gmail.com, francesca.miraglia@sanraffaele.it organization: Brain Connectivity Laboratory, IRCCS San Raffaele Pisana, Rome, Italy – sequence: 2 givenname: F. surname: Vecchio fullname: Vecchio, F. organization: Brain Connectivity Laboratory, IRCCS San Raffaele Pisana, Rome, Italy – sequence: 3 givenname: P. surname: Bramanti fullname: Bramanti, P. organization: IRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy – sequence: 4 givenname: P.M. surname: Rossini fullname: Rossini, P.M. organization: Brain Connectivity Laboratory, IRCCS San Raffaele Pisana, Rome, Italy
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/26384963$$D View this record in MEDLINE/PubMed
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Keywords	small world networks DMN SW gender graph theory ICA EEG FN RSN AN ROI resting state functional connectivity ANOVA SN BA Default Mode Network resting state networks Region of Interest Attentional Networks independent component analysis small world analysis of variance Sensorimotor Network Frontal Networks Brodmann Areas
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Snippet	•Graph theory approach as a way to quantify brain connectivity.•Gender small-worldness differences in EEG resting state networks.•Resting state networks:... Highlights • Graph theory approach as a way to quantify brain connectivity. • Gender small-worldness differences in EEG resting state networks. • Resting state... Aim of this study was to verify whether the topological organization of human brain functional networks is different for males and females in resting state...
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SubjectTerms	Analysis of Variance Attention - physiology Brain Mapping Case-Control Studies Computer Graphics EEG Electroencephalography Female functional connectivity Functional Laterality - physiology gender graph theory Humans Interpersonal Relations Male Middle Aged Models, Neurological Neural Pathways - physiology Neurology Rest - physiology resting state Sex Characteristics small world networks
Title	Small-worldness characteristics and its gender relation in specific hemispheric networks
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