Literature DB >> 30880423

Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents.

João Ricardo Sato1,2,3,4, Claudinei Eduardo Biazoli1, Luciana Monteiro Moura1,4, Nicolas Crossley5, André Zugman2,4, Felipe Almeida Picon4,6,7, Marcelo Queiroz Hoexter2,4,8, Edson Amaro3, Euripedes Constantino Miguel4,8, Luis Augusto Rohde4,6,7, Rodrigo Affonseca Bressan2,4, Andrea Parolin Jackowski2,4.   

Abstract

The fractional amplitude of low-frequency fluctuations (fALFFs) of the BOLD signal have been successfully applied as exploratory tools in neuroimaging. This metric has been useful in mapping brain functional changes in many clinical populations. However, little is known about the neurophysiological correlates of fALFF. This study aimed at demonstrating that fALFF is related to local network centrality during childhood and adolescence. The establishment of this relationship is fundamental to provide a more meaningful explanation to previous clinical and neurodevelopmental studies based on fALFF. Our findings show a correlation of ∼0.5 between these two metrics at a group level, which is a finding replicated in four large independent samples. However, when considering the across-subject and intra-subject correlations between the two metrics, the correlation is much lower, probably due to the low signal-to-noise ratio. Moreover, we found that regions with high fALFF and degree centrality overlapped modestly, particularly the posterior cingulate/precuneus and lateral parietal cortices.

Entities:  

Keywords:  children; connectivity; fMRI; network; neurodevelopment; resting-state

Year:  2019        PMID: 30880423     DOI: 10.1089/brain.2018.0628

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  2 in total

1.  Frontal lobe fALFF measured from resting-state fMRI as a prognostic biomarker in first-episode psychosis.

Authors:  Todd Lencz; Ashley Moyett; Miklos Argyelan; Anita D Barber; John Cholewa; Michael L Birnbaum; Juan A Gallego; Majnu John; Philip R Szeszko; Delbert G Robinson; Anil K Malhotra
Journal:  Neuropsychopharmacology       Date:  2022-10-05       Impact factor: 8.294

2.  Increased intrinsic default-mode network activity as a compensatory mechanism in aMCI: a resting-state functional connectivity MRI study.

Authors:  Jiali Liang; Yunfei Li; Hao Liu; Sisi Zhang; Meimei Wang; Yonghua Chu; Jianping Ye; Qian Xi; Xiaohu Zhao
Journal:  Aging (Albany NY)       Date:  2020-04-01       Impact factor: 5.682

  2 in total

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