scholarly journals Transdiagnostic phenotypes of compulsive behavior and associations with psychological, cognitive, and neurobiological affective processing

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Lauren Den Ouden ◽  
Chao Suo ◽  
Lucy Albertella ◽  
Lisa-Marie Greenwood ◽  
Rico S. C. Lee ◽  
...  
Keyword(s):  
Statistical Modeling ◽  
Biological Assessment ◽  
Affective Processing ◽  
Phenotypic Variance ◽  
Compulsive Behavior ◽  
Resting State Functional Connectivity ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Diagnostic Categories ◽  
The Stability

AbstractCompulsivity is a poorly understood transdiagnostic construct thought to underlie multiple disorders, including obsessive-compulsive disorder, addictions, and binge eating. Our current understanding of the causes of compulsive behavior remains primarily based on investigations into specific diagnostic categories or findings relying on one or two laboratory measures to explain complex phenotypic variance. This proof-of-concept study drew on a heterogeneous sample of community-based individuals (N = 45; 18–45 years; 25 female) exhibiting compulsive behavioral patterns in alcohol use, eating, cleaning, checking, or symmetry. Data-driven statistical modeling of multidimensional markers was utilized to identify homogeneous subtypes that were independent of traditional clinical phenomenology. Markers were based on well-defined measures of affective processing and included psychological assessment of compulsivity, behavioral avoidance, and stress, neurocognitive assessment of reward vs. punishment learning, and biological assessment of the cortisol awakening response. The neurobiological validity of the subtypes was assessed using functional magnetic resonance imaging. Statistical modeling identified three stable, distinct subtypes of compulsivity and affective processing, which we labeled “Compulsive Non-Avoidant”, “Compulsive Reactive” and “Compulsive Stressed”. They differed meaningfully on validation measures of mood, intolerance of uncertainty, and urgency. Most importantly, subtypes captured neurobiological variance on amygdala-based resting-state functional connectivity, suggesting they were valid representations of underlying neurobiology and highlighting the relevance of emotion-related brain networks in compulsive behavior. Although independent larger samples are needed to confirm the stability of subtypes, these data offer an integrated understanding of how different systems may interact in compulsive behavior and provide new considerations for guiding tailored intervention decisions.

scholarly journals Characterizing a psychiatric symptom dimension related to deficits in goal-directed control

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Claire M Gillan ◽  
Michal Kosinski ◽  
Robert Whelan ◽  
Elizabeth A Phelps ◽  
Nathaniel D Daw
Keyword(s):  
Large Scale ◽  
Psychiatric Symptoms ◽  
Clinical Manifestations ◽  
Compulsive Behavior ◽  
Neurocognitive Performance ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Diagnostic Categories ◽  
Symptom Dimension ◽  
Compulsive Behaviors

Prominent theories suggest that compulsive behaviors, characteristic of obsessive-compulsive disorder and addiction, are driven by shared deficits in goal-directed control, which confers vulnerability for developing rigid habits. However, recent studies have shown that deficient goal-directed control accompanies several disorders, including those without an obvious compulsive element. Reasoning that this lack of clinical specificity might reflect broader issues with psychiatric diagnostic categories, we investigated whether a dimensional approach would better delineate the clinical manifestations of goal-directed deficits. Using large-scale online assessment of psychiatric symptoms and neurocognitive performance in two independent general-population samples, we found that deficits in goal-directed control were most strongly associated with a symptom dimension comprising compulsive behavior and intrusive thought. This association was highly specific when compared to other non-compulsive aspects of psychopathology. These data showcase a powerful new methodology and highlight the potential of a dimensional, biologically-grounded approach to psychiatry research.

COMPUTATIONAL MODEL OF OBSESSIVE–COMPULSIVE DISORDER: A UNIFIED EXPLANATION OF THE TREATMENTS

2004 ◽  
Vol 14 (01) ◽  
pp. 263-277 ◽  
Author(s):  
SHIGERU KUBOTA ◽  
KAZUYUKI AIHARA
Keyword(s):  
Computational Model ◽  
Obsessive Compulsive Disorder ◽  
Common Property ◽  
Neural Network Modeling ◽  
Unified Framework ◽  
Obsessive Compulsive ◽  
Input Stimulus ◽  
Compulsive Disorder ◽  
The Stability ◽  
Stored Information

We propose a computational model explaining the pharmacological, behavioral, and neurosurgical treatments of obsessive–compulsive disorder (OCD) in a unified framework. On the basis of the concept that the striatum stores information linked to OCD symptoms, we analyze dynamical changes of a chaotic neural network modeling the striatum. The effect of pharmacological treatment is explained by the increase in refractoriness induced by the neurotransmitter serotonin. The effect of behavior therapy is explained by the time-variant input stimulus weakening neural interconnections according to the covariance rule concerning synaptic plasticity. The effect of neurosurgical treatment is explained by the lesions to the cortical-striatal-thalamic-cortical loop decreasing the feedback of the closed loop. These treatments have a common property that they decrease the stability of stored information in the striatum.

Diagnosis and Epidemiology of Pediatric Psychiatric Disorders

2017 ◽  
Author(s):  
Elise B. Robinson ◽  
Benjamin M. Neale ◽  
Mark J. Daly
Keyword(s):  
Pervasive Developmental Disorders ◽  
Developmental Disorders ◽  
Autism Spectrum ◽  
Tic Disorders ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Diagnostic Categories ◽  
Severe Impairment ◽  
Substance Abuse Disorders ◽  
Definition Of

Pediatric psychiatric conditions are rising in estimated prevalence, and these disorders place an enormous burden on parents, educators, and the health care system. This rise in prevalence likely contains elements of diagnostic changes, greater awareness of these disorders, and true changes in incidence. It has been estimated that there is nearly a 50% lifetime childhood prevalence of one or more mood, anxiety, or behavioral disorders (excluding eating and substance abuse disorders) and that more than 20% of children meet the definition of severe impairment. This chapter focuses on epidemiology, heritability, and implied genetic architecture in representative pediatric neuropsychiatric conditions. We consider five major diagnostic categories and highlight major diagnosis within each, specifically, intellectual disability, pervasive developmental disorders (autism spectrum disorder [ASD]), hyperactive and inattentive behavior (attention deficit/hyperactivity disorder [ADHD]), obsessive compulsive disorder (OCD) and tic disorders (TD) (which includes Tourette Syndrome [TS] and other chronic tic disorders).

scholarly journals Defining data-driven subgroups of obsessive–compulsive disorder with different treatment responses based on resting-state functional connectivity

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Seoyeon Kwak ◽  
Minah Kim ◽  
Taekwan Kim ◽  
Yoobin Kwak ◽  
Sanghoon Oh ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Treatment Response ◽  
Obsessive Compulsive Disorder ◽  
Resting State ◽  
Predictive Biomarkers ◽  
Support Vector ◽  
Resting State Functional Connectivity ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Treatment Responses

Abstract Characterization of obsessive–compulsive disorder (OCD), like other psychiatric disorders, suffers from heterogeneities in its symptoms and therapeutic responses, and identification of more homogeneous subgroups may help to resolve the heterogeneity. We aimed to identify the OCD subgroups based on resting-state functional connectivity (rsFC) and to explore their differences in treatment responses via a multivariate approach. From the resting-state functional MRI data of 107 medication-free OCD patients and 110 healthy controls (HCs), we selected rsFC features, which discriminated OCD patients from HCs via support vector machine (SVM) analyses. With the selected brain features, we subdivided OCD patients into subgroups using hierarchical clustering analyses. We identified 35 rsFC features that achieved a high sensitivity (82.74%) and specificity (76.29%) in SVM analyses. The OCD patients were subdivided into two subgroups, which did not show significant differences in their demographic and clinical backgrounds. However, one of the OCD subgroups demonstrated more impaired rsFC that was involved either within the default mode network (DMN) or between DMN brain regions and other network regions. This subgroup also showed both lower improvements in symptom severity in the 16-week follow-up visit and lower responder percentage than the other subgroup. Our results highlight that not only abnormalities within the DMN but also aberrant rsFC between the DMN and other networks may contribute to the treatment response and support the importance of these neurobiological alterations in OCD patients. We suggest that abnormalities in these connectivity may play predictive biomarkers of treatment response, and aid to build more optimal treatment strategies.

Effect of amphetamine on behavioral patterns of obsessive-compulsive and addictive gambling in a rat marble test

2016 ◽  
Vol 14 (3) ◽  
pp. 46-52 ◽  
Author(s):  
Petr D. Shabanov ◽  
Andrei A. Lebedev ◽  
Natalia D. Yakushina ◽  
Anna G. Pshenichnaya ◽  
Eugenii R. Bychkov
Keyword(s):  
Pathological Gambling ◽  
Field Evaluation ◽  
Anxiety Reduction ◽  
Dependent Manner ◽  
Behavioral Patterns ◽  
Compulsive Behavior ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Dose Dependent ◽  
The Brain

A rodent marble test can be qualified as the most informative test of evaluation of obsessive-compulsive disorder as a neurobiological component of pathological gambling. Several behavioral components of obsession (obsessive and anxious ideas) and compulsions (obsessive actions) directed to anxiety reduction are modeled in this test. The effect of psychostimulant amphetamine on the rat behavior was studied in a marble test, anxiety-phobic model (scale), open field (evaluation of motor and emotional activity) and resident-intruder test (Intraspecies behavior). Amphetamine 0.5 and 1.5 mg/kg increased a number of burying bolls and elevated anxiety level in dose dependent manner. This accompanied with reduction of explorative activity, elevation of motor activity and number of individual behavioral patterns. Therefore, dopaminergic system of the brain activated with amphetamine is involved in obsessive-compulsive behavior and pathological gambling.

Psychostimulant-Induced Behavior as an Animal Model of Obsessive-Compulsive Disorder: An Ethological Approach to the Form of Compulsive Rituals

CNS Spectrums ◽  
2005 ◽  
Vol 10 (3) ◽  
pp. 191-202 ◽  
Author(s):  
David Eilam ◽  
Henry Szechtman
Keyword(s):  
Animal Model ◽  
Obsessive Compulsive Disorder ◽  
Rat Model ◽  
Receptor Agonist ◽  
Dopamine Receptor Agonist ◽  
Compulsive Behavior ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Dopaminergic Mechanisms ◽  
Motor Acts

AbstractRats treated chronically with the D2/D3, dopamine receptor agonist quinpirole show a pattern of behavior that meets a set of ethologically derived criteria of compulsive behavior in obsessive-compulsive disorder (OCD). Moreover, in both quinpirole-treated rats and OCD patients, the structure of compulsive rituals appear similar in being composed of relatively few motor acts that are organized in a flexible yet recurrent manner. In addition, the development of compulsive behavior in quinpirole-treated rats is attenuated by the OCD pharmacotherapeutic drug clomipramine. These similarities support the validity of quinpirole-treated rats as a psychostimulant-induced animal model of OCD. Considering that the induction of compulsive behavior in the rat model involves chronic hyperstimulation of dopamine receptors, this raises the possibility that dopaminergic mechanisms may play a role in OCD, at least in some subtypes of this disorder.

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