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A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder [article]

Tim Hahn, Hamidreza Jamalabadi, Daniel Emden, Janik Goltermann, Jan Ernsting, Nils R. Winter, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Vincent Holstein, Marius Gruber, Dominik Grotegerd (+22 others)
2021 arXiv   pre-print
Here, we propose a Network Control Theory of Psychopathology allowing us to formally derive a theoretical control energy which we hypothesize quantifies resistance to future symptom improvement in Major  ...  Methods: We modelled longitudinal symptom-network dynamics derived from N=2,059 Beck Depression Inventory measurements acquired over a median of 134 days in a sample of N=109 patients suffering from MDD  ...  Implications of all the available evidence Our approach connects a major theory of mental disorders to the mathematical study of system control.  ... 
arXiv:2107.10178v1 fatcat:rmrjdwajljg4fke2lzoussm364

An investigation of emotion dynamics in major depressive disorder patients and healthy persons using sparse longitudinal networks

Stijn de Vos, Klaas J. Wardenaar, Elisabeth H. Bos, Ernst C. Wit, Mara E. J. Bouwmans, Peter de Jonge, Lourens J. Waldorp
2017 PLoS ONE  
Emotion dynamics in major depressive disorder PLOS ONE | https://doi.Multilevel: Univariate multilevel regression approach as described by Bringmann et al., 2013.  ...  Methods Time-series data were collected in pair-matched healthy persons and major depressive disorder (MDD) patients (n = 54).  ...  We addressed this by comparing the results of the abovementioned population-level analysis with Emotion dynamics in major depressive disorder results from a multilevel approach as used in these previous  ... 
doi:10.1371/journal.pone.0178586 pmid:28570696 pmcid:PMC5453553 fatcat:ohouzy5r4jbxxji4z3y2seuzri

A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression

Marieke Wichers, Harriëtte Riese, Taylor M. Hodges, Evelien Snippe, Fionneke M. Bos
2021 Frontiers in Psychiatry  
To aid future research in this field, we outline a novel complementary network theory, the momentary affect dynamics (MAD) network theory, to understand the development of depression.  ...  This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression.  ...  The idea that sadness would be central, in the sense that this symptom may have a major role in triggering other symptoms, is not supported in these dynamic macro-level network studies based on temporal  ... 
doi:10.3389/fpsyt.2021.719490 pmid:34777038 pmcid:PMC8581034 fatcat:m6r7mvicdbftvnsnclmp6jgex4

A Complex Network Perspective on Clinical Science

Stefan G. Hofmann, Joshua Curtiss, Richard J. McNally
2016 Perspectives on Psychological Science  
This can happen when a major stressor destabilizes a healthy network, tipping the person into a depression network.  ...  This approach derives from chaos theory and catastrophe theory to explain non-linear, dynamic, and transitional phenomena (e.g., Scheffer et al, 2009; Vandervert, 1991; Thom, 1977 ).  ... 
doi:10.1177/1745691616639283 pmid:27694457 pmcid:PMC5119747 fatcat:bnl26ssshvasppl2njdxwc3wsi

Functional neuroimaging biomarkers of resilience in major depressive disorder

Adina S. Fischer, Kelsey E. Hagan, Ian H. Gotlib
2020 Current Opinion in Psychiatry  
this disorder and improve approaches to prevention and treatment.  ...  In this review, we provide an overview of definitions and determinants of resilience in the context of neuroimaging research in major depressive disorder (MDD).  ...  Acknowledgements We thank our patients and study participants for guiding and challenging our research focus to incorporate dynamic and multifaceted determinants of resilience in depression, and for continually  ... 
doi:10.1097/yco.0000000000000662 pmid:33027183 pmcid:PMC7769009 fatcat:qaxpteek5vdtxo6wyyx5u6npsy

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

Alba Contreras, Ines Nieto, Carmen Valiente, Regina Espinosa, Carmelo Vazquez
2019 Psychotherapy and Psychosomatics  
Network analysis (NA) is an analytical tool that allows one to explore the map of connections and eventual dynamic influences among symptoms and other elements of mental disorders.  ...  given disorder as well as the mutual dynamics among symptoms.  ...  [41] have shown that, compared to healthy controls, participants with major depression had higher network density of negative emotions but there were no differences in regard to the density of positive  ... 
doi:10.1159/000497425 fatcat:qz7ta623xnexta2e4x2cmtsbvm

Comorbidity: Cognition and biology count!

Orly Rubinsten, Avishai Henik
2010 Behavioral and Brain Sciences  
We propose a method to visualize comorbidity networks and, based on an empirical network for major depression and generalized anxiety, we argue that this approach generates realistic hypotheses about pathways  ...  The pivotal problem of comorbidity research lies in the psychometric foundation it rests on, that is, latent variable theory, in which a mental disorder is viewed as a latent variable that causes a constellation  ...  A comorbidity network for major depressive disorder (MDD) and general anxiety disorder (GAD).  ... 
doi:10.1017/s0140525x10000695 pmid:20584388 fatcat:qn4gzw6xvfa27f6xbimwd22jpm

Comorbidity: A network perspective

Angélique O. J. Cramer, Lourens J. Waldorp, Han L. J. van der Maas, Denny Borsboom
2010 Behavioral and Brain Sciences  
We propose a method to visualize comorbidity networks and, based on an empirical network for major depression and generalized anxiety, we argue that this approach generates realistic hypotheses about pathways  ...  The pivotal problem of comorbidity research lies in the psychometric foundation it rests on, that is, latent variable theory, in which a mental disorder is viewed as a latent variable that causes a constellation  ...  A comorbidity network for major depressive disorder (MDD) and general anxiety disorder (GAD).  ... 
doi:10.1017/s0140525x09991567 pmid:20584369 fatcat:46r5yzucvnewzm45oephes2qme

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder [article]

Tim Hahn, Nils R. Winter, Jan Ernsting, Marius Gruber, Marco J. Mauritz, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Julian Blanke, Vincent Holstein, Daniel Emden, Marie Beisemann (+18 others)
2021 arXiv   pre-print
in patients diagnosed with major depressive disorder (MDD, n=692) and healthy controls (n=820).  ...  Building on connectome-based graph analysis and control theory, Network Control Theory is emerging as a powerful tool to quantify network controllability - i.e., the influence of one brain region over  ...  familial risk in Major Depressive Disorder (MDD).  ... 
arXiv:2107.10169v1 fatcat:lykm4ckia5bwzfu4h36ei2fkp4

Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD

Zhen Yang, Shi Gu, Nicolas Honnorat, Kristin A. Linn, Russell T. Shinohara, Irem Aselcioglu, Steven Bruce, Desmond J. Oathes, Christos Davatzikos, Theodore D. Satterthwaite, Danielle S. Bassett, Yvette I. Sheline
2018 Molecular Psychiatry  
A sample of 64 subjects was included in a study of network dynamics: 33 patients (15 MDD, 18 PTSD) received longitudinal fMRI resting state scans before and after 12 weeks of CBT.  ...  In this study, we applied tools from graph theory and network science to better understand the transdiagnostic neural mechanisms of this treatment for depression.  ...  and Anxiety Symptoms Questionnaire, CAPS_m Clinician-Administered PTSD Scale past-month total, HC healthy control subjects, MDD patients with major depressive disorder, PTSD patients with posttraumatic  ... 
doi:10.1038/s41380-018-0201-7 pmid:30104727 fatcat:n3l3zqvv2ffphmgzuqog3llkca

Harnessing networks and machine learning in neuropsychiatric care

Eli J Cornblath, David M Lydon-Staley, Danielle S Bassett
2019 Current Opinion in Neurobiology  
Such methods combine analytic power, interpretability, and direct connection to underlying theory in cognitive neuroscience.  ...  For simplicity, we will refer to large cross-sectional neuroimaging studies as broad studies and to intensive longitudinal studies as deep studies.  ...  Controllability Unlike the above metrics, which quantify the static topological role of nodes in a network, network control theory [17•,23] uses a dynamical systems perspective to quantify the ability  ... 
doi:10.1016/j.conb.2018.12.010 pmid:30641443 pmcid:PMC6839408 fatcat:wzxhhmtu4bbotbiv44pps55ciq

Network Analysis and Precision Rehabilitation for the Post-concussion Syndrome

Grant L. Iverson
2019 Frontiers in Neurology  
A network analysis approach allows us to embrace heterogeneity and comorbidity, and it might lead to the identification of new approaches to sequenced care.  ...  This approach requires a conceptual shift away from thinking that symptoms reflect an underlying disease or disorder toward viewing inter-related symptoms as constituting the syndrome or disorder.  ...  "Critical slowing" (147) is a phenomenon in depression characterized by dynamic networks of symptoms taking increasingly longer to adapt or recover to perturbations, eventually leading to a tipping point  ... 
doi:10.3389/fneur.2019.00489 pmid:31191426 pmcid:PMC6548833 fatcat:ieb5clphkvc3tgfrhfgsjd3zle

Functional MRI applications for psychiatric disease subtyping: a review

Lucas Miranda, Riya Paul, Benno Pütz, Bertram Müller-Myhsok
2020 Zenodo  
Major depression disorder and schizophrenia were the two most studied pathologies (35% and 30% of the retrieved studies, respectively), followed by ADHD (15%), psychosis (10%), autism disorder (5%), and  ...  With the advent of new technologies that allowed researchers to investigate brain mechanisms in a more direct manner, interest in not only the mechanistic rationale behind defined pathologies but also  ...  While the employed sample size is small, this study illustrates how graph theory and causal modelling can be used together to shed light into the mechanisms behind major depression in particular and brain  ... 
doi:10.5281/zenodo.3923918 fatcat:y33tncjqtbfpphlmkceg3hnd7y

Capturing the risk of persisting depressive symptoms: A dynamic network investigation of patients' daily symptom experiences

Robin N. Groen, Evelien Snippe, Laura F. Bringmann, Claudia J.P. Simons, Jessica A. Hartmann, Elisabeth H. Bos, Marieke Wichers
2019 Psychiatry Research  
in the larger network of dynamic symptom-to-symptom interactions.  ...  What drives the large differences across patients in terms of treatment efficacy of major depressive disorder (MDD) is unclear.  ...  An investigation of emotion dynamics in major depressive disorder patients and healthy persons using sparse longitudinal networks. PLOS ONE 12, e0178586. Derogatis, L.R., 1992.  ... 
doi:10.1016/j.psychres.2018.12.054 pmid:30791337 fatcat:qjcyag6ywfhuvm3biynknhstva

Bipolar II Disorder Is NOT a Myth

Andrew A. Nierenberg
2019 Canadian journal of psychiatry  
Similarly, we can analyze these data with network and systems approaches using graph theory to better understand the dynamic relationships between depressive, manic, anxious, and psychotic symptoms as  ...  symptoms appear to be worse in bipolar II versus bipolar I.  ... 
doi:10.1177/0706743719852096 pmid:31340671 pmcid:PMC6681510 fatcat:6ik5kcqlc5bmzaidlr3pkeeqqi
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