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A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder
[article]
2021
arXiv
pre-print
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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
2017
PLoS ONE
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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
2021
Frontiers in Psychiatry
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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
2016
Perspectives on Psychological Science
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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
2020
Current Opinion in Psychiatry
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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
2019
Psychotherapy and Psychosomatics
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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!
2010
Behavioral and Brain Sciences
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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
2010
Behavioral and Brain Sciences
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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]
2021
arXiv
pre-print
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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
2018
Molecular Psychiatry
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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
2019
Current Opinion in Neurobiology
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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
2019
Frontiers in Neurology
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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
2020
Zenodo
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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
2019
Psychiatry Research
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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
2019
Canadian journal of psychiatry
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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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