Longitudinal study in adolescent anorexia nervosa: evaluation of cortico-striatal and default mode network resting-state brain circuits

2021 ◽  
Author(s):  
Esther Via ◽  
Anna Calvo ◽  
Elena de la Serna ◽  
Anna Blázquez ◽  
Luisa Lázaro ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Longitudinal Study ◽  
Default Mode Network ◽  
Resting State ◽  
Default Mode ◽  
Brain Circuits ◽  
Adolescent Anorexia Nervosa

scholarly journals Increased resting state functional connectivity in the default mode network in recovered anorexia nervosa

2012 ◽  
Vol 35 (2) ◽  
pp. 483-491 ◽  
Author(s):  
Felicity A. Cowdrey ◽  
Nicola Filippini ◽  
Rebecca J. Park ◽  
Stephen M. Smith ◽  
Ciara McCabe
Keyword(s):  
Anorexia Nervosa ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Default Mode

Frequency domains of resting state default mode network activity in schizophrenia

2014 ◽  
Vol 45 (01) ◽  
Author(s):  
G Mingoia ◽  
K Langbein ◽  
M Dietzek ◽  
G Wagner ◽  
S Smesny ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Network Activity ◽  
Default Mode ◽  
Frequency Domains

scholarly journals Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study

NeuroImage ◽  
2021 ◽  
Vol 226 ◽  
pp. 117581
Author(s):  
Fengmei Fan ◽  
Xuhong Liao ◽  
Tianyuan Lei ◽  
Tengda Zhao ◽  
Mingrui Xia ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Resting State Fmri ◽  
Childhood And Adolescence ◽  
Default Mode ◽  
Fmri Study

Spectral dynamic causal modelling of resting-state fMRI: an exploratory study relating effective brain connectivity in the default mode network to genetics

2020 ◽  
Vol 19 (3) ◽  
Author(s):  
Yunlong Nie ◽  
Eugene Opoku ◽  
Laila Yasmin ◽  
Yin Song ◽  
Jie Wang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Default Mode Network ◽  
Resting State ◽  
Brain Connectivity ◽  
Parametric Bootstrap ◽  
Imaging Genetics ◽  
Nucleotide Polymorphisms ◽  
Mixed Effect ◽  
Default Mode

AbstractWe conduct an imaging genetics study to explore how effective brain connectivity in the default mode network (DMN) may be related to genetics within the context of Alzheimer’s disease and mild cognitive impairment. We develop an analysis of longitudinal resting-state functional magnetic resonance imaging (rs-fMRI) and genetic data obtained from a sample of 111 subjects with a total of 319 rs-fMRI scans from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. A Dynamic Causal Model (DCM) is fit to the rs-fMRI scans to estimate effective brain connectivity within the DMN and related to a set of single nucleotide polymorphisms (SNPs) contained in an empirical disease-constrained set which is obtained out-of-sample from 663 ADNI subjects having only genome-wide data. We relate longitudinal effective brain connectivity estimated using spectral DCM to SNPs using both linear mixed effect (LME) models as well as function-on-scalar regression (FSR). In both cases we implement a parametric bootstrap for testing SNP coefficients and make comparisons with p-values obtained from asymptotic null distributions. In both networks at an initial q-value threshold of 0.1 no effects are found. We report on exploratory patterns of associations with relatively high ranks that exhibit stability to the differing assumptions made by both FSR and LME.

Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study

2021 ◽  
Author(s):  
Thamires Naela Cardoso Magalhães ◽  
Christian Luiz Baptista Gerbelli ◽  
Luciana Ramalho Pimentel-Silva ◽  
Brunno Machado de Campos ◽  
Thiago Junqueira Ribeiro de Rezende ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Longitudinal Study ◽  
Default Mode Network ◽  
Network Connectivity ◽  
Default Mode
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