Literature DB >> 33834391

Phenotype Network and Brain Structural Covariance Network of Major Depression.

Je-Yeon Yun1,2, Yong-Ku Kim3.   

Abstract

Phenotype networks enable clinicians to elucidate the patterns of coexistence and interactions among the clinical symptoms, negative cognitive styles , neurocognitive performance, and environmental factors in major depressive disorder (MDD). Results of phenotype network approach could be used in finding the target symptoms as these are tightly connected or associated with many other phenomena within the phenotype network of MDD specifically when comorbid psychiatric disorder(s) is/are present. Further, by comparing the differential patterns of phenotype networks before and after the treatment, changing or enduring patterns of associations among the clinical phenomena in MDD have been deciphered.Brain structural covariance networks describe the inter-regional co-varying patterns of brain morphologies, and overlapping findings have been reported between the brain structural covariance network and coordinated trajectories of brain development and maturation. Intra-individual brain structural covariance illustrates the degrees of similarities among the different brain regions for how much the values of brain morphological features are deviated from those of healthy controls. Inter-individual brain structural covariance reflects the degrees of concordance among the different brain regions for the inter-individual distribution of brain morphologic values. Estimation of the graph metrics for these brain structural covariance networks uncovers the organizational profile of brain morphological variations in the whole brain and the regional distribution of brain hubs.

Entities:  

Keywords:  Brain structural covariance network; Graph theory; Magnetic resonance imaging; Major depressive disorder; Phenotype network

Mesh:

Year:  2021        PMID: 33834391     DOI: 10.1007/978-981-33-6044-0_1

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  60 in total

1.  Assessment of symptoms of DSM-IV anxiety and depression in children: a revised child anxiety and depression scale.

Authors:  B F Chorpita; L Yim; C Moffitt; L A Umemoto; S E Francis
Journal:  Behav Res Ther       Date:  2000-08

2.  Comorbidity: a network perspective.

Authors:  Angélique O J Cramer; Lourens J Waldorp; Han L J van der Maas; Denny Borsboom
Journal:  Behav Brain Sci       Date:  2010-06       Impact factor: 12.579

3.  Sparse inverse covariance estimation with the graphical lasso.

Authors:  Jerome Friedman; Trevor Hastie; Robert Tibshirani
Journal:  Biostatistics       Date:  2007-12-12       Impact factor: 5.899

4.  Network models of DSM-5 posttraumatic stress disorder: Implications for ICD-11.

Authors:  Karen S Mitchell; Erika J Wolf; Michelle J Bovin; Lewina O Lee; Jonathan D Green; Raymond C Rosen; Terence M Keane; Brian P Marx
Journal:  J Abnorm Psychol       Date:  2017-02-13

5.  Symptom network connectivity in adolescents with comorbid major depressive disorder and social phobia.

Authors:  Alejandro de la Torre-Luque; Cecilia A Essau
Journal:  J Affect Disord       Date:  2019-05-09       Impact factor: 4.839

6.  Depicting the associations between different forms of psychopathology in trauma-exposed adolescents.

Authors:  Xing Cao; Li Wang; Chengqi Cao; Ruojiao Fang; Chen Chen; Brian J Hall; Jon D Elhai
Journal:  Eur Child Adolesc Psychiatry       Date:  2019-09-05       Impact factor: 4.785

7.  Negative cognitive style interacts with negative life events to predict first onset of a major depressive episode in adolescence via hopelessness.

Authors:  Naoise Mac Giollabhui; Jessica L Hamilton; Johanna Nielsen; Samantha L Connolly; Jonathan P Stange; Sean Varga; Evan Burdette; Thomas M Olino; Lyn Y Abramson; Lauren B Alloy
Journal:  J Abnorm Psychol       Date:  2017-11-27

8.  A network perspective on body dysmorphic disorder and major depressive disorder.

Authors:  Berta J Summers; George Aalbers; Payton J Jones; Richard J McNally; Katharine A Phillips; Sabine Wilhelm
Journal:  J Affect Disord       Date:  2019-11-05       Impact factor: 4.839

9.  Network analysis of mood symptoms in adolescents with or at high risk for bipolar disorder.

Authors:  Marc J Weintraub; Christopher D Schneck; David J Miklowitz
Journal:  Bipolar Disord       Date:  2019-12-10       Impact factor: 6.744

10.  Replicability and Generalizability of Posttraumatic Stress Disorder (PTSD) Networks: A Cross-Cultural Multisite Study of PTSD Symptoms in Four Trauma Patient Samples.

Authors:  Eiko I Fried; Marloes B Eidhof; Sabina Palic; Giulio Costantini; Hilde M Huisman-van Dijk; Claudi L H Bockting; Iris Engelhard; Cherie Armour; Anni B S Nielsen; Karen-Inge Karstoft
Journal:  Clin Psychol Sci       Date:  2018-01-05
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