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  Resting-state functional connectivity and network analysis of cerebellum with respect to IQ and gender

Pezoulas, V. C., Zervakis, M., Michelogiannis, S., & Klados, M. (2017). Resting-state functional connectivity and network analysis of cerebellum with respect to IQ and gender. Frontiers in Human Neuroscience, 11: 189. doi:10.3389/fnhum.2017.00189.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-F6F9-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7EC5-2
Genre: Journal Article

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Vasileios_Michalis_2017.pdf (Publisher version), 3MB
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 Creators:
Pezoulas, Vasileios C.1, Author
Zervakis, Michalis1, Author
Michelogiannis, Sifis2, Author
Klados, Manousos3, Author              
Affiliations:
1School of Electrical and Computer Engineering (ECE), Technical University of Crete, Chania, Greece, ou_persistent22              
2Neurophysiological Research Laboratory, Medical School, University of Crete, Heraklion, Greece, ou_persistent22              
3Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              

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Free keywords: Cerebellum; fMRI; Small-world network; Minimum spanning tree; IQ; Median response time
 Abstract: During the last years, it has been established that the prefrontal and posterior parietal brain lobes, which are mostly related to intelligence, have many connections to cerebellum. However, there is a limited research investigating cerebellum's relationship with cognitive processes. In this study, the network of cerebellum was analyzed in order to investigate its overall organization in individuals with low and high fluid Intelligence Quotient (IQ). Functional magnetic resonance imaging (fMRI) data were selected from 136 subjects in resting-state from the Human Connectome Project (HCP) database and were further separated into two IQ groups composed of 69 low-IQ and 67 high-IQ subjects. Cerebellum was parcellated into 28 lobules/ROIs (per subject) using a standard cerebellum anatomical atlas. Thereafter, correlation matrices were constructed by computing Pearson's correlation coefficients between the average BOLD time-series for each pair of ROIs inside the cerebellum. By computing conventional graph metrics, small-world network properties were verified using the weighted clustering coefficient and the characteristic path length for estimating the trade-off between segregation and integration. In addition, a connectivity metric was computed for extracting the average cost per network. The concept of the Minimum Spanning Tree (MST) was adopted and implemented in order to avoid methodological biases in graph comparisons and retain only the strongest connections per network. Subsequently, six global and three local metrics were calculated in order to retrieve useful features concerning the characteristics of each MST. Moreover, the local metrics of degree and betweenness centrality were used to detect hubs, i.e., nodes with high importance. The computed set of metrics gave rise to extensive statistical analysis in order to examine differences between low and high-IQ groups, as well as between all possible gender-based group combinations. Our results reveal that both male and female networks have small-world properties with differences in females (especially in higher IQ females) indicative of higher neural efficiency in cerebellum. There is a trend toward the same direction in men, but without significant differences. Finally, three lobules showed maximum correlation with the median response time in low-IQ individuals, implying that there is an increased effort dedicated locally by this population in cognitive tasks.

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Language(s): eng - English
 Dates: 2016-09-082017-03-312017-04-26
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3389/fnhum.2017.00189
PMID: 28491028
PMC: PMC5405083
Other: eCollection 2017
 Degree: -

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Title: Frontiers in Human Neuroscience
  Abbreviation : Front Hum Neurosci
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 11 Sequence Number: 189 Start / End Page: - Identifier: ISSN: 1662-5161
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5161