An exploration of neural predictors of treatment compliance in cognitive-behavioral group therapy for hoarding disorder.

A persistent and influential barrier to effective cognitive-behavioral therapy (CBT) for patients with hoarding disorder (HD) is treatment retention and compliance. Recent research has suggested that HD patients have abnormal brain activity identified by functional magnetic resonance (fMRI) in regions often engaged for executive functioning (e.g., right superior frontal gyrus, anterior insula, and anterior cingulate), which raises questions about whether these abnormalities could relate to patients' ability to attend, understand, and engage in HD treatment. We examined data from 74 HD-diagnosed adults who completed fMRI-measured brain activity during a discarding task designed to elicit symptom-related brain dysfunction, exploring which regions' activity might predict treatment compliance variables, including treatment engagement (within-session compliance), homework completion (between-session compliance), and treatment attendance. Brain activity that was significantly related to within- and between-session compliance was found largely in insula, parietal, and premotor areas. No brain regions were associated with treatment attendance. The results add to findings from prior research that have found prefrontal, cingulate, and insula activity abnormalities in HD by suggesting that some aspects of HD brain dysfunction might play a role in preventing the engagement needed for therapeutic benefit.

A Case of Clutter and Chaos: Attention Deficit Hyperactivity Disorder Confounding Hoarding.

ABSTRACT: Hoarding disorder is a chronic disorder defined as the persistent difficulty in parting with possessions and the need to save items, regardless of their actual value. Severe hoarding has largely been a hidden clinical problem, and awareness has mostly been limited to voyeuristic depictions of the plight of hoarders in popular media. Approximately 28% to 32% of individuals with attention deficit hyperactivity disorder (ADHD), especially the inattentive subtype, have been reported to have clinically significant hoarding. It has been hypothesized that patients with ADHD initially acquire objects impulsively and later develop emotional attachments or intrinsic meaning, resulting in a perpetuating cycle of reliance on hoarding as a coping mechanism. Treatment focused on impaired attention has shown improved prognosis, which further signifies the relationship between inattentive ADHD and hoarding. We discuss the case of a patient with ADHD (inattentive type), major depressive disorder, and hoarding traits.

Electrophysiological dynamics of visuocortical processing in hoarding disorder.

Individuals with hoarding disorder (HD) typically perform worse than peers on neuropsychological tasks involving visual perception. Functional neuroimaging shows diffusely increased activity in the visual cortex, consistent with inefficient visual processing in HD. The temporal locus of these inefficiencies in HD is unknown. This study examined the temporal unfolding of visual event-related brain potentials (ERPs) to help better define the neurophysiological mechanisms underlying visual dysfunction in HD. Thirty-three individuals with HD and 35 healthy controls (HC) were assessed using a 64-channel EEG during a modified flanker task. Permutation-controlled analyses were conducted to detect group differences in visual evoked ERPs on a millisecond-to-millisecond basis. Bayesian ANCOVAs and linear regressions that included hoarding and age were conducted to identify the best-fit model for the identified VEPs, compared to a null model that included depression and anxiety severity. Three temporal regions (175 ms, 270 ms, and 440 ms), showed differences in amplitude between HD and HC and were consistent with ERP components N1, P1/N2, and a late negative slow wave (LNSW), respectively. After controlling for depression and anxiety, HD demonstrated an enhanced ERP amplitude at N1 and an attenuated amplitude in LNSW compared to HC but did not show differences at P1/N2. For the N1 and LNSW, there was also a primary effect of the interaction between hoarding and age. This study indicates that altered visuocortical reactivity in HD first occurs at the level of visuocortical processing after 170 ms, indicating alterations of middle and later, but not early, processing in occipitotemporal visual cortex.

A Virtual Reality Study of the Relationships Between Hoarding, Clutter, and Claustrophobia.

Hoarding disorder is characterized by difficulty discarding objects and excessive clutter. The relationship between hoarding and claustrophobia, reactions to severely cluttered spaces, and clutter preferences are all areas that are yet to be investigated. The present study used a novel virtual reality (VR) platform to examine these domains. Two groups (i.e., with hoarding disorder, n = 36; without hoarding disorder, n = 40) similar in age and gender were recruited from the community. There were no differences in subjective or physiological reactivity to increasing VR clutter levels. The hoarding group reported a preference for slightly more cluttered VR rooms; however, they also reported higher claustrophobic fear. Results from this research advance our understanding of the relationship between hoarding symptoms and subjective experiences of clutter and offer implications for future VR research and treatment initiatives.

Determinants of object choice and object attachment: Compensatory consumption in compulsive buying-shopping disorder and hoarding disorder.

BACKGROUND AND AIMS: Individuals who meet criteria for compulsive buying-shopping disorder (i.e., acquiring problems only) or hoarding disorder (i.e., acquiring and discarding problems) may acquire possessions to compensate for unmet belonging needs, but may do so in different ways. Those with compulsive buying-shopping disorder may acquire objects that they believe will relieve the distress associated with unmet belonging needs (e.g., objects that distract or comfort), whereas those with hoarding disorder may acquire objects that they believe achieve belonging needs (e.g., objects that have interpersonal connotations). Accordingly, this study examined whether a belongingness threat would drive individuals who excessively acquire possessions to choose a human-like object (person-shaped tea holder) or a comfort item (box of chamomile tea). METHODS: One hundred seventy-five participants (57 self-reported excessive acquiring only; 118 self-reported excessive acquiring and difficulty discarding) recalled a time when they either felt supported or unsupported by a significant other before choosing an object to take home with them. Participants rated how anthropomorphic and comforting the objects were as well as how attached they became to their chosen object. RESULTS: Unsupported individuals were more likely to acquire the comfort item than supported individuals; however, individuals with both acquiring and discarding problems were more likely to acquire the human-like item than those with an acquiring problem only. Comfort and anthropomorphism ratings predicted object choice and attachment. DISCUSSIONS AND CONCLUSION: The current findings extend the Compensatory Consumer Behavior Model to include what factors determine strategy choice and object attachment.

Differential patterns of brain activation between hoarding disorder and obsessive-compulsive disorder during executive performance.

BACKGROUND: Preliminary evidence suggests that hoarding disorder (HD) and obsessive-compulsive disorder (OCD) may show distinct patterns of brain activation during executive performance, although results have been inconclusive regarding the specific neural correlates of their differential executive dysfunction. In the current study, we aim to evaluate differences in brain activation between patients with HD, OCD and healthy controls (HCs) during response inhibition, response switching and error processing. METHODS: We assessed 17 patients with HD, 18 patients with OCD and 19 HCs. Executive processing was assessed inside a magnetic resonance scanner by means of two variants of a cognitive control protocol (i.e. stop- and switch-signal tasks), which allowed for the assessment of the aforementioned executive domains. RESULTS: OCD patients performed similar to the HCs, differing only in the number of successful go trials in the switch-signal task. However, they showed an anomalous hyperactivation of the right rostral anterior cingulate cortex during error processing in the switch-signal task. Conversely, HD patients performed worse than OCD and HC participants in both tasks, showing an impulsive-like pattern of response (i.e. shorter reaction time and more commission errors). They also exhibited hyperactivation of the right lateral orbitofrontal cortex during successful response switching and abnormal deactivation of frontal regions during error processing in both tasks. CONCLUSIONS: Our results support that patients with HD and OCD present dissimilar cognitive profiles, supported by distinct neural mechanisms. Specifically, while alterations in HD resemble an impulsive pattern of response, patients with OCD present increased error processing during response conflict protocols.

Functional Neuroimaging Test of an Emerging Neurobiological Model of Hoarding Disorder.

BACKGROUND: Over the past decade, functional neuroimaging studies have found abnormal brain function in several cortical systems when patients with compulsive hoarding behaviors make decisions about personal possessions. The purpose of this study was to use functional magnetic resonance imaging to test a neurobiological model of hoarding disorder (HD) that has begun to emerge from these small studies by confirming HD-related brain dysfunction in previously implicated brain regions in the largest sample of HD patients examined to date. METHODS: We compared 79 adults diagnosed with DSM-5 HD with 44 non-HD control participants using a functional magnetic resonance imaging task of decision making to acquire or discard material possessions and on a control task involving semantic processing. RESULTS: HD brain activation profiles prominently featured insular and anterior cingulate cortex overengagement during possession-related choices that were not seen in non-HD brain activation profiles and also correlated with hoarders' clutter and difficulty discarding. Although HD patients overengaged the insula when deciding to discard, relative to when performing the non-decision making task contrast, the HD insula also was generally blunted. CONCLUSIONS: This study links the defining behavioral symptoms of HD to localized brain dysfunction within cingulo-opercular brain systems and firmly establishes the context-dependent importance of this network dysfunction in HD. The relevance of dysfunction in these brain regions is highlighted by a failure to replicate HD-related abnormalities in other brain regions implicated in prior HD functional magnetic resonance imaging studies. This study also raises the novel possibility that HD may involve abnormality in the inferior frontal cortex engaged for executive control over semantic processing.

Distinct resting state functional connectivity abnormalities in hoarding disorder and major depressive disorder.

Emerging research suggests that hoarding disorder (HD) is associated with abnormal hemodynamic activity in frontal brain regions. Prior studies have not examined intrinsic network connectivity in HD during unstructured "resting state" fMRI. Furthermore, it remains unclear whether previously observed HD abnormalities might be better explained by the presence of other disorders frequently comorbid with HD, such as major depressive disorder (MDD). The current study compared resting state functional connectivity in HD-only patients (n = 17), MDD-only patients (n = 8), patients with co-occurring HD and MDD (n = 10), and healthy control participants (n = 18). Using independent component analysis, we found that HD-only patients exhibited lower functional connectivity in a "task positive" cognitive control network, compared to the other three groups. The HD group also had greater connectivity in regions of the "task negative" default mode network than did the other groups. Findings suggest that HD is associated with a unique neurobiological profile, and are discussed in terms of recent neurological and neuropsychological findings and models in HD and related disorders.

A narrative synthesis of possible causes and risk factors of hoarding behaviours.

BACKGROUND: Hoarding is a disorder characterized by excessive acquisition and persistent difficulty in discarding possessions. The behaviour has adverse emotional, physical, social, financial, and legal outcomes for the person with the disorder and family members, and might pose a significant public health problem. Hoarding has been included as a distinct disorder in the Diagnostic and Statistical Manual of Mental Disorders Fifth edition (DSM-5). The prevalence of hoarding disorder is approximately 2-6% globally. The current state of the evidence does not offer clear understanding of the causes of hoarding behaviours. A systematic review of the extant literature was carried out to determine the possible causal factors of hoarding behaviours. METHODS: This review is conducted in line with PRISMA guidelines. The following electronic databases: Medline through Ovid, EMBASE and PsycINFO were searched for relevant articles published between January 2000 and November 2018. Only articles published in English language were included. Two reviewers independently scrutinized the studies and included them in this review. RESULTS: Our search strategy returned a total of 396 references. Preliminary findings suggest that individuals with hoarding behaviours may have a genetic susceptibility; abnormal neural activity in the fronto-temporal, para-hippocampal gyrus and insular parts of the brain has also been identified. Traumatic life experiences have also been posited to predispose individuals to hoard. CONCLUSION: Although the understanding of hoarding disorder hasgrown in recent years, greater efforts are still needed to clarify the etiology and mechanisms of hoarding disorder as these may help in planning of more holistic interventions to treat the problem.

Pathophysiology and treatment of hoarding disorder.

Hoarding disorder (HD) is a newly listed disease in the new category of Obsessive-Compulsive and Related Disorders in the DSM-5. Patients with HD find it difficult to discard possessions regardless of their actual value and to organize those things. As a result, the possessions overflow the living space and hinder living functions. Though the hoarding symptom had been regarded as a subtype of obsessive-compulsive disorder (OCD) to date, recent studies have revealed many differences in clinical characteristics, including onset, course, degree of insight, and treatment responses, between hoarding and other subtypes. Moreover, several neuroimaging studies have found specific changes of brain structure and function in OCD patients with hoarding symptoms compared to patients with non-hoarding OCD. Meanwhile, strategies for treatment of HD have not been standardized. At present, psychological treatment using cognitive behavioral therapy techniques has a certain effect. In this review, we outline the pathophysiology and treatment of HD.

Discarding personal possessions increases psychophysiological activation in patients with hoarding disorder.

Difficulty discarding is the core behavioral symptom of hoarding disorder (HD). Patients with HD report greater subjective distress when discarding their own possessions as compared to others' possessions. To date, no prior studies have examined psychophysiological activation, an objective measure of anxious arousal, during discarding among individuals with HD. The current study assessed psychophysiological responses during a baseline resting period and two discarding tasks, one involving personal possessions and the other involving matched control ("experimenter-owned") items in 52 patients with a primary diagnosis of HD. Results showed that, compared to discarding control items, discarding personal possessions increased skin conductance and heart rate and decreased end tidal carbon dioxide. There were no differences in heart rate variability, respiratory sinus arrhythmia, and respiration rate between the two discarding tasks. Despite the fact that discarding increased psychophysiological arousal, self-reported HD symptoms (including difficulty discarding) failed to predict psychophysiological responses during the discarding tasks. The findings suggest that there may be discordance between objective and subjective measures of hoarding-related distress, and are discussed in terms of incorporating psychophysiological measures into the assessment and treatment of HD.

A qualitative analysis of emotion and emotion regulation in hoarding disorder.

OBJECTIVE: The role of emotion regulation (ER) has been receiving increased attention in relation to various forms of psychopathology including hoarding disorder (HD). However, questionnaire designs are limited to finding associations of ER with symptoms or symptom groups, without finding out how such constructs might be involved in the disorder. METHODS: This study was a qualitative investigation of ER in a clinical HD sample (N = 11). RESULTS: Prominent themes provided support for ER difficulties in hoarding. In particular, difficulties with identifying and describing feelings, unhelpful attitudes toward the emotional experience, the use of avoidance-based strategies, and a perceived lack of effective ER strategies were prominent themes. Furthermore, emotional factors were identified as being associated with the onset and/or exacerbation of hoarding behavior, and possessions and acquiring behavior appeared to serve an ER function. CONCLUSION: The current paper provides a nuanced account of the role of ER in hoarding difficulties.

Contrasting contributions of anhedonia to obsessive-compulsive, hoarding, and post-traumatic stress disorders.

Anhedonia is a transdiagnostic construct that can occur independent of other symptoms of depression; its role in neuropsychiatric disorders that are not primarily affective, such as obsessive compulsive disorder (OCD), hoarding disorder (HD), and post-traumatic stress disorder (PTSD) has received limited attention. This paper addresses this gap. First, the data revealed a positive contribution of anhedonia, beyond the effects of general depression, to symptom severity in OCD but not in HD or PTSD. Second, anhedonia was operationalized as a reduced sensitivity to rewards, which allowed employing the value based decision making framework to investigate effects of anhedonia on reward-related behavioral outcomes, such as increased risk aversion and increased difficulty of making value-based choices. Both self-report and behavior-based measures were used to characterize individual risk aversion: risk perception and risk-taking propensities (measured using the Domain Specific Risk Taking scale) and risk attitudes evaluated using a gambling task. Data revealed the positive theoretically predicted correlation between anhedonia and risk perception in OCD; effects on self-reported risk taking and behavior-based risk aversion were non-significant. The same relations were weaker in HD and absent in PTSD. Response time during a gambling task, an index of difficulty of making value-based choices, significantly correlated with anhedonia in individuals with OCD and individuals with HD, even after controlling for general depression, but not in individuals with PTSD. The results suggest a unique contribution of one aspect of anhedonia in obsessive-compulsive disorder and confirm the importance of investigating the role of anhedonia transdiagnostically beyond affective and psychotic disorders.

An investigation of delay and probability discounting in hoarding disorder.

Behavioral impulsivity may be a mechanism of hoarding disorder (HD). A commonly used and well-validated measure of impulsivity is the delay and probability discounting task, which consists of making decisions about receiving monetary rewards after varying delay intervals and delivery probabilities. We compared delay and probability discounting and self-reported behavioral impulsivity in 81 patients with a primary diagnosis of HD and 45 nonclinical controls. HD participants completed the impulsivity measures before and after 16 weekly sessions of cognitive-behavioral therapy (CBT), whereas control group participants completed the measures before and after a 16-week waiting period. Despite the fact that self-reported impulsivity was greater in the HD group than the control group, delay and probability discounting did not differ between groups. Additionally, while self-reported behavioral impulsivity improved over the course of CBT in HD participants, delay and probability discounting did not change during treatment. Furthermore, higher delay discounting scores (i.e., greater preference for immediate rewards, indicating greater impulsivity) were associated with lower hoarding symptom severity. The findings suggest that self-reported impulsivity, but not objective performance on a behavioral impulsivity task, may be impaired in HD, and are discussed in terms of cognitive and affective factors in decision-making.

A unique increase in prefrontal gray matter volume in hoarding disorder compared to obsessive-compulsive disorder.

BACKGROUND: Hoarding disorder (HD) is a disease concept newly presented in DSM-5. As far as we know, no studies have examined the structural changes relevant to hoarding by applying the diagnostic criteria of HD in DSM-5. In the present study, we aimed to find abnormalities in gray matter (GM) structures of patients with HD. METHODS: Seventeen patients who met the DSM-5 criteria for HD, 17 obsessive-compulsive disorder (OCD) patients, and 17 healthy controls (HCs) participated in this study. All participants underwent MRI scanning of the brain by a 3.0-Tesla MRI scanner. In a voxel-based morphometric procedure, preprocessed GM structural images were used to compare the three groups. Thereafter we investigated the correlation between the clinical data (age of onset, symptomatic severity) and GM volume. RESULTS: The HD group showed a significantly increased GM volume compared to the OCD and healthy control groups (p<0.05) in both Brodmann area (BA)10 and BA11. There was no significant difference between OCD and healthy control groups. No significant correlation between the clinical data including age of onset, symptom severity score, and GM volume was observed in HD and OCD groups. CONCLUSIONS: The results might help to explain the inconsistency of previous studies. As with OCD, HD is considered to have cognitive dysfunction as its basis. This result is convincing after considering the clinical features of HD and suggested that structural abnormalities in the prefrontal regions might relate to the pathophysiology of HD.

The need to consume: Hoarding as a shared psychological feature of compulsive buying and binge eating.

INTRODUCTION: Compulsive buying and binge eating are two frequently co-occurring psychiatric conditions. Hoarding, which is the psychological need to excessively gather and store items, is frequently associated with both compulsive buying severity and binge eating severity. In the present study, we explored whether different dimensions of hoarding are a shared feature of compulsive buying and binge eating. METHOD: Participants consisted of 434 people seeking treatment for compulsive buying disorder. Registered psychiatrists confirmed the diagnosis of compulsive buying through semi-structured clinical interviews. Participants also completed measures to assess compulsive buying severity, binge eating severity, and dimensions of hoarding (acquisition, difficulty discarding, and clutter). Two-hundred and seven participants completed all three measures. RESULTS: Significant correlations were found between compulsive buying severity and the acquisition dimension of hoarding. Binge eating severity was significantly correlated with all three dimensions of hoarding. Hierarchical regression analysis found that compulsive buying severity was a significant predictor of binge eating severity. However, compulsive buying severity no longer predicted binge eating severity when the dimensions of hoarding were included simultaneously in the model. Clutter was the only subscale of hoarding to predict binge eating severity in step two of the regression analysis. CONCLUSION: Our results suggest that the psychological need to excessively gather and store items may constitute a shared process that is important in understanding behaviors characterized by excessive consumption such as compulsive buying and binge eating.

Deficits in physiological and self-conscious emotional response to errors in hoarding disorder.

Hoarding disorder (HD) has been hypothesized to arise from deficits in error monitoring and abnormalities in emotional processing, but the relationship between error monitoring and emotional processing has not been examined. We examined measures of self-report, as well as behavioral, physiological, and facial responses to errors during a Stop-Change Task. 25 participants with HD and 32 healthy controls (HC) were recruited. Participants reported on number of errors committed and pre/post emotional response to errors. Skin conductance response (SCR) during correct and error commission trials was examined. Facial expression during task performance was coded for self-conscious and negative emotions. HD and HC participants had significantly different error rates but comparable error correction and post-error slowing. SCR was significantly lower for HD during error commission than for HC. During error trials, HD participants showed a significant deficit in displays of self-conscious emotions compared to HC. Self-reported emotions were increased in HD, with more negative and self-conscious emotion reported than was reported for HC participants. These findings suggest that hypoactive emotional responding at a physiological level may play a role in how errors are processed in individuals with HD.

Contributions of self-criticism and shame to hoarding.

Pathological hoarding-related beliefs, such as need to control possessions, and inflated sense of responsibility over possessions, have been used to explain the development of symptoms of hoarding disorder (HD). While these beliefs have been the focus of the current standard treatment for HD, it is of significant clinical interest to further examine other constructs that may be linked to, or may underliethese beliefs, as well as the pathology of HD. To this end, the current study aimed to build on existing findings regarding the relationship of compromised self-identity with HD. Specifically, we investigated the relationship between self-criticism, shame, hoarding beliefs, and severity of HD symptoms among 104 treatment-seeking individuals with HD. We found that self-criticism and shame are positively associated with HD symptoms and hoarding related beliefs. Moreover, our data shed light on how these factors are connected by elucidating the indirect effects of self-criticism and shame on HD symptoms, mediated through beliefs about inflated sense of responsibility over possessions. The findings have implications for future research to examine interventions targeting compromised self-identity, including self-criticism and shame, among individuals with HD.

A model-based analysis of decision making under risk in obsessive-compulsive and hoarding disorders.

Attitudes towards risk are highly consequential in clinical disorders thought to be prone to "risky behavior", such as substance dependence, as well as those commonly associated with excessive risk aversion, such as obsessive-compulsive disorder (OCD) and hoarding disorder (HD). Moreover, it has recently been suggested that attitudes towards risk may serve as a behavioral biomarker for OCD. We investigated the risk preferences of participants with OCD and HD using a novel adaptive task and a quantitative model from behavioral economics that decomposes risk preferences into outcome sensitivity and probability sensitivity. Contrary to expectation, compared to healthy controls, participants with OCD and HD exhibited less outcome sensitivity, implying less risk aversion in the standard economic framework. In addition, risk attitudes were strongly correlated with depression, hoarding, and compulsion scores, while compulsion (hoarding) scores were associated with more (less) "rational" risk preferences. These results demonstrate how fundamental attitudes towards risk relate to specific psychopathology and thereby contribute to our understanding of the cognitive manifestations of mental disorders. In addition, our findings indicate that the conclusion made in recent work that decision making under risk is unaltered in OCD is premature.

Age-Specific Prevalence of Hoarding and Obsessive Compulsive Disorder: A Population-Based Study.

OBJECTIVE: Little is known about the age-specific prevalence of hoarding and obsessive compulsive symptoms (OCS), particularly in older age groups. The objectives of this study were to estimate the age-specific prevalence, severity, and relationships between hoarding and OCS in males and females using a large population-based sample. METHODS: We assessed the age-specific prevalence rates of hoarding disorder (HD) and OC disorder (OCD) in males and females (at various age ranges between 15 and 97 years) from the Netherlands Twins Register (N = 15,194). Provisional HD and OCD diagnoses were made according to Diagnostic and Statistical Manual of Mental Health Disorders, 5th Edition, criteria using self-report measures. We also assessed hoarding and OCS severity in the various age groups and explored specific hoarding and OCS patterns (e.g., difficulty discarding, excessive acquisition, clutter, checking, washing, perfectionism, and obsessions) with age. RESULTS: Prevalence of provisional HD diagnoses (2.12%) increased linearly by 20% with every 5 years of age (z = 13.8, p < 0.0001) and did not differ between males and females. Provisional OCD diagnoses were most common in younger individuals and in individuals over age 65. Co-occurring OCD increased hoarding symptom severity (coefficient: 4.5; SE: 0.2; 95% CI: 4.1-4.9; t = 22.0, p < 0.0001). Difficulty discarding for HD and checking behaviors for OCD appeared to drive most increases in these diagnoses in older ages. CONCLUSION: Increased prevalence and severity of HD with age appears to be primarily driven by difficulties with discarding. Increases in OCD prevalence with older age were unexpected and of potential clinical relevance.