Altered Whole‐Brain Functional Networks in Drug‐Naïve, First‐Episode Adolescents With Major Depression Disorder

Background Neuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole‐brain networks specifically associated with adolescent MDD remain poorly understood. Purpose To investigate the topological architecture of intrinsi...

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Published inJournal of magnetic resonance imaging Vol. 52; no. 6; pp. 1790 - 1798
Main Authors Wu, Baolin, Li, Xuekun, Zhou, Jun, Zhang, Meng, Long, Qingyun
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.12.2020
Wiley Subscription Services, Inc
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Online AccessGet full text
ISSN1053-1807
1522-2586
1522-2586
DOI10.1002/jmri.27270

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Abstract Background Neuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole‐brain networks specifically associated with adolescent MDD remain poorly understood. Purpose To investigate the topological architecture of intrinsic brain functional networks in drug‐naïve, first‐episode adolescent MDD patients using graph theoretical analysis. Study type Prospective. Subjects In all, 109 adolescent MDD patients and 70 healthy control subjects. Field Strength/Sequences 3.0T; gradient‐echo echo‐planar imaging sequence. Assessment After the construction of whole‐brain functional networks by thresholding partial correlation matrices of 90 brain regions, we calculated the topological properties (eg, small‐world, efficiency, and nodal centrality) using graph theoretical analysis. Statistical Tests A chi‐squared test was used to compare the gender‐ratio difference, and a two‐sample t‐test was used in the comparison of age. We compared network measures between the two groups using nonparametric permutation tests. Exploratory partial correlation analyses were used to determine the relationships between the topological metrics showing significant between‐group differences and the clinical variables for adolescent MDD patients. Results Small‐world architecture in brain functional networks was identified for both the MDD and control groups. However, depressed adolescents exhibited lower characteristic path length, normalized characteristic path length and clustering coefficient, and higher global efficiency than controls (false discovery rate [FDR] q < 0.05). Compared with controls, depressed adolescents exhibited increased nodal centralities in the default mode regions, including the right anterior cingulate and paracingulate gyri, left posterior cingulate gyrus, right superior frontal gyrus (medial part), bilateral hippocampus, and bilateral parahippocampal gyrus, and decreased nodal centralities in the orbitofrontal, temporal, and occipital regions (FDR q < 0.05). Data Conclusion This study indicated that drug‐naïve, first‐episode adolescent MDD patients exhibit disruptions in whole‐brain functional networks. Level of Evidence 1 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2020;52:1790–1798.
AbstractList Background Neuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole‐brain networks specifically associated with adolescent MDD remain poorly understood. Purpose To investigate the topological architecture of intrinsic brain functional networks in drug‐naïve, first‐episode adolescent MDD patients using graph theoretical analysis. Study type Prospective. Subjects In all, 109 adolescent MDD patients and 70 healthy control subjects. Field Strength/Sequences 3.0T; gradient‐echo echo‐planar imaging sequence. Assessment After the construction of whole‐brain functional networks by thresholding partial correlation matrices of 90 brain regions, we calculated the topological properties (eg, small‐world, efficiency, and nodal centrality) using graph theoretical analysis. Statistical Tests A chi‐squared test was used to compare the gender‐ratio difference, and a two‐sample t‐test was used in the comparison of age. We compared network measures between the two groups using nonparametric permutation tests. Exploratory partial correlation analyses were used to determine the relationships between the topological metrics showing significant between‐group differences and the clinical variables for adolescent MDD patients. Results Small‐world architecture in brain functional networks was identified for both the MDD and control groups. However, depressed adolescents exhibited lower characteristic path length, normalized characteristic path length and clustering coefficient, and higher global efficiency than controls (false discovery rate [FDR] q < 0.05). Compared with controls, depressed adolescents exhibited increased nodal centralities in the default mode regions, including the right anterior cingulate and paracingulate gyri, left posterior cingulate gyrus, right superior frontal gyrus (medial part), bilateral hippocampus, and bilateral parahippocampal gyrus, and decreased nodal centralities in the orbitofrontal, temporal, and occipital regions (FDR q < 0.05). Data Conclusion This study indicated that drug‐naïve, first‐episode adolescent MDD patients exhibit disruptions in whole‐brain functional networks. Level of Evidence 1 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2020;52:1790–1798.
Neuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole-brain networks specifically associated with adolescent MDD remain poorly understood. To investigate the topological architecture of intrinsic brain functional networks in drug-naïve, first-episode adolescent MDD patients using graph theoretical analysis. Prospective. In all, 109 adolescent MDD patients and 70 healthy control subjects. 3.0T; gradient-echo echo-planar imaging sequence. After the construction of whole-brain functional networks by thresholding partial correlation matrices of 90 brain regions, we calculated the topological properties (eg, small-world, efficiency, and nodal centrality) using graph theoretical analysis. A chi-squared test was used to compare the gender-ratio difference, and a two-sample t-test was used in the comparison of age. We compared network measures between the two groups using nonparametric permutation tests. Exploratory partial correlation analyses were used to determine the relationships between the topological metrics showing significant between-group differences and the clinical variables for adolescent MDD patients. Small-world architecture in brain functional networks was identified for both the MDD and control groups. However, depressed adolescents exhibited lower characteristic path length, normalized characteristic path length and clustering coefficient, and higher global efficiency than controls (false discovery rate [FDR] q < 0.05). Compared with controls, depressed adolescents exhibited increased nodal centralities in the default mode regions, including the right anterior cingulate and paracingulate gyri, left posterior cingulate gyrus, right superior frontal gyrus (medial part), bilateral hippocampus, and bilateral parahippocampal gyrus, and decreased nodal centralities in the orbitofrontal, temporal, and occipital regions (FDR q < 0.05). This study indicated that drug-naïve, first-episode adolescent MDD patients exhibit disruptions in whole-brain functional networks. 1 TECHNICAL EFFICACY STAGE: 2 J. MAGN. RESON. IMAGING 2020;52:1790-1798.
Neuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole-brain networks specifically associated with adolescent MDD remain poorly understood.BACKGROUNDNeuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole-brain networks specifically associated with adolescent MDD remain poorly understood.To investigate the topological architecture of intrinsic brain functional networks in drug-naïve, first-episode adolescent MDD patients using graph theoretical analysis.PURPOSETo investigate the topological architecture of intrinsic brain functional networks in drug-naïve, first-episode adolescent MDD patients using graph theoretical analysis.Prospective.STUDY TYPEProspective.In all, 109 adolescent MDD patients and 70 healthy control subjects.SUBJECTSIn all, 109 adolescent MDD patients and 70 healthy control subjects.3.0T; gradient-echo echo-planar imaging sequence.FIELD STRENGTH/SEQUENCES3.0T; gradient-echo echo-planar imaging sequence.After the construction of whole-brain functional networks by thresholding partial correlation matrices of 90 brain regions, we calculated the topological properties (eg, small-world, efficiency, and nodal centrality) using graph theoretical analysis.ASSESSMENTAfter the construction of whole-brain functional networks by thresholding partial correlation matrices of 90 brain regions, we calculated the topological properties (eg, small-world, efficiency, and nodal centrality) using graph theoretical analysis.A chi-squared test was used to compare the gender-ratio difference, and a two-sample t-test was used in the comparison of age. We compared network measures between the two groups using nonparametric permutation tests. Exploratory partial correlation analyses were used to determine the relationships between the topological metrics showing significant between-group differences and the clinical variables for adolescent MDD patients.STATISTICAL TESTSA chi-squared test was used to compare the gender-ratio difference, and a two-sample t-test was used in the comparison of age. We compared network measures between the two groups using nonparametric permutation tests. Exploratory partial correlation analyses were used to determine the relationships between the topological metrics showing significant between-group differences and the clinical variables for adolescent MDD patients.Small-world architecture in brain functional networks was identified for both the MDD and control groups. However, depressed adolescents exhibited lower characteristic path length, normalized characteristic path length and clustering coefficient, and higher global efficiency than controls (false discovery rate [FDR] q < 0.05). Compared with controls, depressed adolescents exhibited increased nodal centralities in the default mode regions, including the right anterior cingulate and paracingulate gyri, left posterior cingulate gyrus, right superior frontal gyrus (medial part), bilateral hippocampus, and bilateral parahippocampal gyrus, and decreased nodal centralities in the orbitofrontal, temporal, and occipital regions (FDR q < 0.05).RESULTSSmall-world architecture in brain functional networks was identified for both the MDD and control groups. However, depressed adolescents exhibited lower characteristic path length, normalized characteristic path length and clustering coefficient, and higher global efficiency than controls (false discovery rate [FDR] q < 0.05). Compared with controls, depressed adolescents exhibited increased nodal centralities in the default mode regions, including the right anterior cingulate and paracingulate gyri, left posterior cingulate gyrus, right superior frontal gyrus (medial part), bilateral hippocampus, and bilateral parahippocampal gyrus, and decreased nodal centralities in the orbitofrontal, temporal, and occipital regions (FDR q < 0.05).This study indicated that drug-naïve, first-episode adolescent MDD patients exhibit disruptions in whole-brain functional networks.DATA CONCLUSIONThis study indicated that drug-naïve, first-episode adolescent MDD patients exhibit disruptions in whole-brain functional networks.1 TECHNICAL EFFICACY STAGE: 2 J. MAGN. RESON. IMAGING 2020;52:1790-1798.LEVEL OF EVIDENCE1 TECHNICAL EFFICACY STAGE: 2 J. MAGN. RESON. IMAGING 2020;52:1790-1798.
BackgroundNeuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole‐brain networks specifically associated with adolescent MDD remain poorly understood.PurposeTo investigate the topological architecture of intrinsic brain functional networks in drug‐naïve, first‐episode adolescent MDD patients using graph theoretical analysis.Study typeProspective.SubjectsIn all, 109 adolescent MDD patients and 70 healthy control subjects.Field Strength/Sequences3.0T; gradient‐echo echo‐planar imaging sequence.AssessmentAfter the construction of whole‐brain functional networks by thresholding partial correlation matrices of 90 brain regions, we calculated the topological properties (eg, small‐world, efficiency, and nodal centrality) using graph theoretical analysis.Statistical TestsA chi‐squared test was used to compare the gender‐ratio difference, and a two‐sample t‐test was used in the comparison of age. We compared network measures between the two groups using nonparametric permutation tests. Exploratory partial correlation analyses were used to determine the relationships between the topological metrics showing significant between‐group differences and the clinical variables for adolescent MDD patients.ResultsSmall‐world architecture in brain functional networks was identified for both the MDD and control groups. However, depressed adolescents exhibited lower characteristic path length, normalized characteristic path length and clustering coefficient, and higher global efficiency than controls (false discovery rate [FDR] q < 0.05). Compared with controls, depressed adolescents exhibited increased nodal centralities in the default mode regions, including the right anterior cingulate and paracingulate gyri, left posterior cingulate gyrus, right superior frontal gyrus (medial part), bilateral hippocampus, and bilateral parahippocampal gyrus, and decreased nodal centralities in the orbitofrontal, temporal, and occipital regions (FDR q < 0.05).Data ConclusionThis study indicated that drug‐naïve, first‐episode adolescent MDD patients exhibit disruptions in whole‐brain functional networks.Level of Evidence1Technical Efficacy Stage2 J. MAGN. RESON. IMAGING 2020;52:1790–1798.
Author Wu, Baolin
Li, Xuekun
Zhang, Meng
Long, Qingyun
Zhou, Jun
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  surname: Long
  fullname: Long, Qingyun
  organization: Zhongnan Hospital of Wuhan University
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Keywords resting-state functional magnetic resonance imaging
brain functional networks
major depressive disorder
small-world
graph theoretical analysis
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Snippet Background Neuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole‐brain...
Neuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole-brain networks...
BackgroundNeuroimaging studies have demonstrated disrupted brain functional networks in major depression disorder (MDD); however, alterations to whole‐brain...
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SubjectTerms Adolescent
Adolescents
Brain
Brain - diagnostic imaging
Brain architecture
brain functional networks
Brain Mapping
Clustering
Correlation analysis
Depression
Depressive Disorder, Major - diagnostic imaging
Field strength
Frontal gyrus
graph theoretical analysis
Humans
Magnetic Resonance Imaging
major depressive disorder
Mathematical analysis
Medical imaging
Mental depression
Mental disorders
Networks
Neuroimaging
Parahippocampal gyrus
Permutations
Pharmaceutical Preparations
Prospective Studies
resting‐state functional magnetic resonance imaging
small‐world
Statistical analysis
Statistical tests
Teenagers
Theoretical analysis
Topology
Title Altered Whole‐Brain Functional Networks in Drug‐Naïve, First‐Episode Adolescents With Major Depression Disorder
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmri.27270
https://www.ncbi.nlm.nih.gov/pubmed/32618061
https://www.proquest.com/docview/2461166584
https://www.proquest.com/docview/2420140418
Volume 52
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