An exploratory study of obstetrics trainees' experiences of breaking bad news

INTRODUCTION

Breaking bad news is one of the hardest tasks performed by doctors. The news can significantly impact on the patient's life; however, the process also generates stress for the doctor. The aim of this study was to explore the lived experiences of breaking bad news for obstetrics trainees in Ireland.

METHODS

A qualitative study using interpretative phenomenological analysis (IPA) was performed to capture the experience of breaking bad news for the trainees. Semi-structured interviews were conducted with trainees over Zoom. The transcripts were analysed in line with the IPA framework with the assistance of NVivo software.

RESULTS

Seven trainees were interviewed, five at Basic Specialist Training (BST) level and two at Higher Specialist Training (HST) level. Four superordinate themes were identified from the analysis: "the reality of working in obstetrics," "the role of the doctor," "development of communication skills" and "the importance of the patient experience." The trainees described breaking bad news in a variety of clinical contexts. This task could be emotionally draining; however, only two trainees mentioned ways of coping with this. Their formal training was limited with the majority of learning occurring "on the job."

CONCLUSIONS

This study provides an insight into factors that influence trainees experiences of breaking bad news. The results complemented existing literature and raised questions about how to better support trainees through increased training and psychological support.

Undertaking a face-to-face objective structured clinical examination for medical students during the COVID-19 pandemic

INTRODUCTION AND AIMS

Objective structured clinical examinations (OSCEs) play a pivotal role in medical education assessment. The Advanced Clinical Skills (ACS) OSCE examines clinical skills in psychiatry, general practice, obstetrics and gynaecology and paediatrics. This study examined if the 2020 ACS OSCE for fourth year medical students attending the National University of Ireland, Galway, was associated with any significant result differences compared to the equivalent 2019 OSCE. Additionally, we assessed students' satisfaction and explored any organisational difficulties in conducting a face-to-face OSCE during the COVID-19 pandemic.

MATERIALS AND METHODS

This study compared anonymised data between the 2019 and 2020 ACS OSCEs and analysed anonymised student feedback pertaining to the modified 2020 OSCE.

RESULTS

The mean total ACS OSCE result achieved in 2020 was statistically higher compared to the 2019 OSCE [62.95% (SD = 6.21) v. 59.35% (SD = 5.54), t = 6.092, p < 0.01], with higher marks noted in psychiatry (p = 0.001), paediatrics (p = 0.001) and general practice (p < 0.001) with more students attaining honours grades (χ2 = 27.257, df = 3, p < 0.001). No difference in failure rates were found. Students reported feeling safe performing the 2020 OSCE (89.2%), but some expressed face-mask wearing impeded their communication skills (47.8%).

CONCLUSION

This study demonstrates that conducting a face-to-face OSCE during the pandemic is feasible and associated with positive student feedback. Exam validity has been demonstrated as there was no difference in the overall pass rate.

Neural circuit disruptions of eye gaze processing in autism spectrum disorder and schizophrenia: An activation likelihood estimation meta-analysis

BACKGROUND

Impairment in social cognition, particularly eye gaze processing, is a shared feature common to autism spectrum disorder (ASD) and schizophrenia. However, it is unclear if a convergent neural mechanism also underlies gaze dysfunction in these conditions. The present study examined whether this shared eye gaze phenotype is reflected in a profile of convergent neurobiological dysfunction in ASD and schizophrenia.

METHODS

Activation likelihood estimation (ALE) meta-analyses were conducted on peak voxel coordinates across the whole brain to identify spatial convergence. Functional coactivation with regions emerging as significant was assessed using meta-analytic connectivity modeling. Functional decoding was also conducted.

RESULTS

Fifty-six experiments (n = 30 with schizophrenia and n = 26 with ASD) from 36 articles met inclusion criteria, which comprised 354 participants with ASD, 275 with schizophrenia and 613 healthy controls (1242 participants in total). In ASD, aberrant activation was found in the left amygdala relative to unaffected controls during gaze processing. In schizophrenia, aberrant activation was found in the right inferior frontal gyrus and supplementary motor area. Across ASD and schizophrenia, aberrant activation was found in the right inferior frontal gyrus and right fusiform gyrus during gaze processing. Functional decoding mapped the left amygdala to domains related to emotion processing and cognition, the right inferior frontal gyrus to cognition and perception, and the right fusiform gyrus to visual perception, spatial cognition, and emotion perception. These regions also showed meta-analytic connectivity to frontoparietal and frontotemporal circuitry.

CONCLUSION

Alterations in frontoparietal and frontotemporal circuitry emerged as neural markers of gaze impairments in ASD and schizophrenia. These findings have implications for advancing transdiagnostic biomarkers to inform targeted treatments for ASD and schizophrenia.

Reflective practice in psychiatric training: Balint groups during COVID-19

Reflective practice is increasingly being recognized as an important component of doctors' professional development. Balint group practice is centered on the doctor-patient relationship: what it means, how it may be used to benefit patients, and why it commonly fails owing to a lack of understanding between doctor and patient. The COVID-19 pandemic led to unprecedented disruption to postgraduate medical training programs, including the mandatory Balint groups for psychiatric trainees. This editorial reports on the experience of online Balint groups in the North West of Ireland during the COVID-19 pandemic, and furthermore provides guidance for online Balint group practice into the future.

Delirium occurrence in older Irish adults admitted to an acute medical hospital: a prospective cohort study

OBJECTIVES

Delirium, which is associated with adverse health outcomes, is poorly detected in hospital settings. This study aimed to determine delirium occurrence among older medical inpatients and to capture associated risk factors.

METHODS

This prospective cohort study was performed at an Irish University Hospital. Medical inpatients 70 years and over were included. Baseline assessments within 72 hours of admission included delirium status and severity as determined by the Revised Delirium Rating Scale (DRS-R-98), cognition, physical illness severity and physical functioning. Pre-existing cognitive impairment was determined with Short Informant Questionnaire on Cognitive Decline (IQCODE). Serial assessment of delirium status, cognition and the physical illness severity were undertaken every 3 (±1) days during participants' hospital admission.

RESULTS

Of 198 study participants, 92 (46.5%) were women and mean age was 80.6 years (s.d. 6.81; range 70-97). Using DRS-R-98, 17.7% (n = 35) had delirium on admission and 11.6% (n = 23) had new-onset delirium during admission. In regression analysis, older age, impaired cognition and lower functional ability at admission were associated with a significant likelihood of delirium.

CONCLUSIONS

In this study, almost one-third of older medical inpatients in an acute hospital had delirium during admission. Findings that increasing age, impaired cognition and lower functional ability at admission were associated with increased delirium risk suggest target groups for enhanced delirium detection and prevention strategies. This may improve clinical outcomes.

247 QUALITY IMPROVEMENT IN DEMENTIA CARE: STREAMLINING CARE PATHWAYS IN A PSYCHIATRY OF OLD AGE SERVICE

Background

Dementia is increasingly considered a public health priority worldwide in the context of predicted increased prevalence. In Ireland, there are an estimated 67,000 persons living with dementia and by 2041 it is expected to rise to 145,000 persons. Challenges in dementia care have been highlighted in health services across Europe and the ineffective structure of dementia care with fragmented non-person-centred pathways has been identified.

Methods

An initial review of the existing cognitive impairment diagnostic pathways in our specialised Psychiatry of Old Age (POA) Service was undertaken. This included surveying the multidisciplinary team to identify challenges, clinical chart review and audit of physical examination equipment. Diagnostic pathway was updated based on findings and informed by the developing national ‘Model of Care for Dementia in Ireland’ and best practice.

Results

Review findings included lack of standardisation of memory assessment, delays in accessing neuroimaging and laboratory results, gaps in staff training. A care pathway document was developed detailing requirements for care from the point of referral through to cognitive impairment diagnosis. Staff training was completed to accompany the introduction of standardised dementia assessment scales. Access to laboratory/radiology booking was enhanced. A cognitive remediation group was developed by Occupational Therapy as part of post-diagnostic supports for service users. Preliminary data indicates improvements in satisfaction of those attending the group. Physical examination equipment audit resulted in quality improvements.

Conclusion

We demonstrate that a quality improvement approach can be implemented to enhance assessment, diagnosis and care provided to support diagnosis of cognitive impairment and dementia in POA service. The enhanced diagnostic care pathways will be assessed over time to assess impact on care of service users. Preliminary findings are positive and it is an approach that can be adopted in other services and inform development of national memory service developments.

232 WORKING-UP DEMENTIA, A RETROSPECTIVE COHORT STUDY OF REFERRALS TO A SPECIALIST DEMENTIA SERVICE

Background

Rates of dementia in Ireland are rapidly increasing in line with our ageing population. Cases are predicted to more than double in the next 30 years from a prevalence of 55,000 in 2018, to 141,000 in 2050. Dementia services will be placed under significant pressure. It is essential that patients referred to specialist memory services are appropriately worked-up prior to referral, to ensure efficiency and optimise the running of these services, and also to improve patient experience.

Methods

We carried out a retrospective review of patients referred to the Psychiatry of Later Life Team for specialist dementia care by General Practitioners. We obtained date of referral to the service, and carried out an electronic chart review to evaluate the work-up performed prior to referral. Our standard work-up criteria consisted of neuroimaging (CT brain or MRI brain), and blood tests including B12, folate, and thyroid function tests within 12-months. Results were analysed descriptively.

Results

104 patients were included in the study, from referrals dated Nov 2014-June 2019. Neuroimaging had been performed in 79.8% (n=83) prior to referral- 89.1% CT, 9.6% MRI, 1.2% both CT and MRI. Of those who had neuroimaging, n=37 had been performed in the previous 12-months, representing 35.6% of overall cohort. In terms of blood work-up, 23.1% (n=24) had bloods performed in the 12 months prior to referral- 70.8% B12, folate and thyroid function tests; 20.8% TFTS only; 8.3% B12 and folate levels only).

Conclusion

Referrals to specialist memory services by General Practice often lack the appropriate first line investigations, which introduces delay in review and the need for further assessment once baseline investigations have been done. There is a need for a standardised work-up prior to referral for optimum running of such services.

329 ANTICHOLINERGIC BURDEN IN PEOPLE LIVING WITH DEMENTIA ATTENDING GERIATRIC MEDICINE AND PSYCHIATRY FOR OLDER PERSONS SERVICES

Background

Anticholinergic burden is associated with an increase in cognitive decline, delirium and confusion. We aimed to examine the Anticholinergic Cognitive Burden (ACB) of patients referred to local dementia services, and the prescribing of acetylcholinesterase inhibitors in patients with a significant anticholinergic burden. We also looked at frequency of prescribing of classes of some medications known to increase anticholinergic burden.

Methods

A retrospective chart review was carried out of new referrals attending local Geriatric Medicine and/or Psychiatry For Older Persons outpatient services with a diagnosis of dementia between 2017 and 2018. Medications in use at the time of patient review were obtained. ACB was calculated using ACB score. Results were analysed descriptively.

Results

163 patients over 65 years old were included in this study, 94 (57.6%) were female. 30% (N = 49) had a significant anticholinergic burden (ACB &gt;3). The mean ACB was 1.69 (Range 0 – 8). 38% of all patients (N = 63) were prescribed an acetylcholinesterase inhibitor, and of those, 20% (N = 13) had a significant anticholinergic burden. Polypharmacy (use of 5 medications or more) was evident with 76% (N = 124) patients. Regarding groups of medications known to increase ACB, 35.5% (N = 58) were prescribed antipsychotics and 18.4% (30) were prescribed benzodiazepines.

Conclusion

There is a significant anticholinergic burden among people living with dementia attending the geriatric medicine and psychiatry of later life services. Some patients with a significant anticholinergic burden were being prescribed acetylcholinesterase inhibitors. This suggests acetylcholinesterase inhibitors may be prescribed without also discontinuing inappropriate medications that are contributing to the anticholinergic burden. We should look to further reduce the anticholinergic burden of patients attending the dementia services by avoiding these medications or using alternatives where available.

Amygdala-prefrontal connectivity in children with maladaptive aggression is modulated by social impairment

Aggressive behavior is common across childhood-onset psychiatric disorders and is associated with impairments in social cognition and communication. The present study examined whether amygdala connectivity and reactivity during face emotion processing in children with maladaptive aggression are moderated by social impairment. This cross-sectional study included a well-characterized transdiagnostic sample of 101 children of age 8-16 years old with clinically significant levels of aggressive behavior and 32 typically developing children without aggressive behavior. Children completed a face emotion perception task of fearful and calm faces during functional magnetic resonance imaging. Aggressive behavior and social functioning were measured by standardized parent ratings. Relative to controls, children with aggressive behavior showed reduced connectivity between the amygdala and the dorsolateral prefrontal cortex (PFC) during implicit emotion processing. In children with aggressive behavior, the association between reduced amygdala-ventrolateral PFC connectivity and greater severity of aggression was moderated by greater social impairment. Amygdala reactivity to fearful faces was also associated with severity of aggressive behavior for children without social deficits but not for children with social deficits. Social impairments entail difficulties in interpreting social cues and enacting socially appropriate responses to frustration or provocation, which increase the propensity for an aggressive response via diminished connectivity between the amygdala and the ventral PFC.

Inflammatory Arthritis Post Covid-19 Infection

Presentation A 63-year-old man developed polyarthritis two months post recovery from COVID-19 infection. Diagnosis We concluded that the diagnosis was rheumatoid arthritis based upon raised inflammatory markers, positive rheumatoid factor and anti-cyclic citrullinated peptide antibodies. Treatment His symptoms improved with naproxen, corticosteroids, and methotrexate. Discussion We describe a patient with late onset rheumatoid arthritis possibly triggered or unmasked by COVID-19.

Sex differences in medial prefrontal and parietal cortex structure in children with disruptive behavior

Sex differences in brain structure in children with disruptive behavior disorders (DBD) remain poorly understood. This study examined sex differences in gray matter volume in children with DBD in a priori regions-of-interest implicated in the pathophysiology of disruptive behavior. We then conducted a whole-brain analysis of cortical thickness to examine sex differences in regions not included in our hypothesis. Exploratory analyses investigated unique associations between structure, and dimensional measures of severity of disruptive behavior and callous-unemotional traits. This cross-sectional study included 88 children with DBD (30 females) aged 8-16 years and 50 healthy controls (20 females). Structural MRI data were analyzed using surface-based morphometry to test for interactions between sex and group. Multiple-regression analyses tested for sex-specific associations between structure, callous-unemotional traits, and disruptive behavior severity. Boys with DBD showed reduced gray matter volume in the left ventromedial prefrontal cortex (vmPFC) and reduced cortical thickness in the supramarginal gyrus, but not girls compared to respective controls. Dimensional analyses revealed associations between sex, callous-unemotional traits, and disruptive behavior for amygdala and vmPFC volume, and ventrolateral prefrontal cortex cortical thickness. Sex-specific differences in prefrontal structures involved in emotion regulation may support identification of neural biomarkers of disruptive behavior to inform target-based treatments.

Genetic predictors of hippocampal subfield volume in PTSD cases and trauma-exposed controls

Behavioural, structural, and functional neuroimaging have implicated the hippocampus as a critical brain region in posttraumatic stress disorder (PTSD) pathogenesis. Recent work in a normative, primarily European, sample identified 15 unique genetic loci contributing to structural variability in six hippocampal subfield volumes. We explored the relevance of these loci in two samples (Mental Illness Research Education and Clinical Centre [MIRECC] and Grady; n = 290) of trauma-exposed individuals enriched for PTSD and of diverse ancestry. Four of the previous loci demonstrated nominal evidence of replication in the MIRECC dataset, primarily within non-Hispanic whites (NHW). One locus replicated in the Grady cohort, which was composed exclusively of non-Hispanic blacks (NHB). Our data supported genetic interactions with diagnosis of lifetime PTSD and genetic interactions with childhood trauma in the MIRECC sample, but not the Grady sample. Given the racial, diagnostic, and trauma-exposure differences with the original genome-wide association study (GWAS) report, we conducted a full GWAS in the MIRECC and Grady datasets. Interactions between genetic variants and lifetime PTSD or childhood trauma were interrogated for single nucleotide polymorphisms (SNPs) with evidence of main effects. Genetic associations surpassed false discovery rate (FDR)-correction within hippocampal subfields in fimbria, subiculum, cornu ammonis-1 (CA1), and hippocampal amygdala transition area (HATA). One association was replicated in the Grady cohort (rs12880795 in TUNAR with left (L)-HATA volume). The most significant association in the MIRECC dataset was between rs6906714 in LINC02571 and right (R)-fimbria volume (p = 5.99×10-8, q = 0.0056). Interestingly, the effect of rs6906714 on R-fimbria volume increased with exposure to childhood trauma (gene*environment [G*E] interaction p = 0.022). These preliminary results argue for G*E interactions between genetic loci with PTSD and childhood trauma on hippocampal phenotypes. Our results underscore the need for larger neuroimaging-genetic studies in PTSD, trauma, and ancestrally diverse populations.

Evaluation of psychomotor/motor disturbances in elderly medical inpatients

Introduction

Traditionally psychomotor subtypes have been investigated in patients with delirium in different settings and it has been found that those with hypoactive type is the largest proportion, often missed and with the worst outcomes.

Aims and objectives

We examined the psychomotor subtypes in an older age inpatients population, the effects that observed clinical variables have on psychomotor subtypes and their association with one year mortality.

Methods

Prospective study. Participants were assessed using the scales CAM, APACHE II, MoCA, Barthel Index and DRS-R98. Pre-existing dementia was diagnosed according to DSM-IV criteria. Psychomotor subtypes were evaluated using the two relevant items of DRS-R98. Mortality rates were investigated one year after admission day.

Results

The sample consisted of 200 participants [mean age 81.1 ± 6.5; 50% female; pre-existing cognitive impairment in 126 (63%)]. Thirty-four (17%) were identified with delirium (CAM+). Motor subtypes of the entire sample was: none: 119 (59.5%), hypo: 37 (18.5%), mixed: 15 (7.5%) and hyper: 29 (14.5%). Hypoactive and mixed subtype were significantly more frequent to delirious patients than to those without delirium, and none subtype more often to those without delirium. There was no difference in the hyperactive subtype between those with and without delirium. Hypoactive subtype was significant associated with delirium and lower scores in MoCA (cognition), while mixed was associated mainly with delirium. Predictors for one-year mortality were lower MoCA scores and severity of illness.

Conclusions

Psychomotor disturbances are not unique to delirium. Hypoactivity, this “silent epidemic” is also part of a deteriorated cognition.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Psychometric evaluation of the Greek version of Mc Master Family Assessment Device (FAD)

Introduction

The Family Assessment Device (FAD) is a self-report questionnaire, developed to assess the six dimensions of the McMaster Model of family functioning. It has been translated to the Greek language but never validated.

Aims and objectives

To evaluate the psychometric properties of the Greek version of FAD in a non-clinical sample.

Methods

In a sample of Greek families, FAD was administered together with the already validated Family Adaptability and Cohesion Evaluation Scale (FACES-III). In a subsample of 96 participants, the scales were administered again after 1 month.

Results

A sample of 453 participants (194 children and 259 parents) had completed both questionnaires (151 families). Mean age of children was 23.62 (SD: 6.35), 68 (35%) were males. Mean age of parents was 51.4 (SD: 8.2), 117 (45.2%) males. All subscales of FAD had significant correlation (concurrent validity) with FACES-III (n = 453, P < 0.001). Test-retest reliability range from 0.58 to 0.82 (n = 96, P < 0.001). Internal consistency (Cronbach's alpha) range from 0.47 to 0.94. A model with the 6 factors had a good statistical fit but not all the items were loading in the same components as from the theory assumed.

Conclusions

The Greek FAD has good psychometric properties, although its factor structure might differ from the original version. Further evaluation of the Greek version of FAD in other settings and in different samples especially clinical remains a task for future research.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Reduced Amygdala-Prefrontal Functional Connectivity in Children With Autism Spectrum Disorder and Co-occurring Disruptive Behavior

BACKGROUND

Disruptive behaviors are prevalent in children with autism spectrum disorder (ASD) and often cause substantial impairments. However, the underlying neural mechanisms of disruptive behaviors remain poorly understood in ASD. In children without ASD, disruptive behavior is associated with amygdala hyperactivity and reduced connectivity with the ventrolateral prefrontal cortex (vlPFC). This study examined amygdala reactivity and connectivity in children with ASD with and without co-occurring disruptive behavior disorders. We also investigated differential contributions of externalizing behaviors and callous-unemotional traits to variance in amygdala connectivity and reactivity.

METHODS

This cross-sectional study involved behavioral assessments and neuroimaging in three groups of children 8 to 16 years of age: 18 children had ASD and disruptive behavior, 20 children had ASD without disruptive behavior, and 19 children were typically developing control participants matched for age, gender, and IQ. During functional magnetic resonance imaging, participants completed an emotion perception task of fearful versus calm faces. Task-specific changes in amygdala reactivity and connectivity were examined using whole-brain, psychophysiological interaction, and multiple regression analyses.

RESULTS

Children with ASD and disruptive behavior showed reduced amygdala-vlPFC connectivity compared with children with ASD without disruptive behavior. Externalizing behaviors and callous-unemotional traits were associated with amygdala reactivity to fearful faces in children with ASD after controlling for suppressor effects.

CONCLUSIONS

Reduced amygdala-vlPFC connectivity during fear processing may differentiate children with ASD and disruptive behavior from children with ASD without disruptive behavior. The presence of callous-unemotional traits may have implications for identifying differential patterns of amygdala activity associated with increased risk of aggression in ASD. These findings suggest a neural mechanism of emotion dysregulation associated with disruptive behavior in children with ASD.

Perceptual and Semantic Phases of Face Identification Processing: A Multivariate Electroencephalography Study

Rapid identification of a familiar face requires an image-invariant representation of person identity. A varying sample of familiar faces is necessary to disentangle image-level from person-level processing. We investigated the time course of face identity processing using a multivariate electroencephalography analysis. Participants saw ambient exemplars of celebrity faces that differed in pose, lighting, hairstyle, and so forth. A name prime preceded a face on half of the trials to preactivate person-specific information, whereas a neutral prime was used on the remaining half. This manipulation helped dissociate perceptual- and semantic-based identification. Two time intervals within the post-face onset electroencephalography epoch were sensitive to person identity. The early perceptual phase spanned 110-228 msec and was not modulated by the name prime. The late semantic phase spanned 252-1000 msec and was sensitive to person knowledge activated by the name prime. Within this late phase, the identity response occurred earlier in time (300-600 msec) for the name prime with a scalp topography similar to the FN400 ERP. This may reflect a matching of the person primed in memory with the face on the screen. Following a neutral prime, the identity response occurred later in time (500-800 msec) with a scalp topography similar to the P600f ERP. This may reflect activation of semantic knowledge associated with the identity. Our results suggest that processing of identity begins early (110 msec), with some tolerance to image-level variations, and then progresses in stages sensitive to perceptual and then to semantic features.

Exploring the Effectiveness of an Integrated Mixed Martial Arts and Psychotherapy Intervention for Young Men's Mental Health

This research sought to establish the impact of a 10-week program combining mixed martial arts (MMA) and one-to-one psychotherapy on young males’ mental health and determine factors that predict help-seeking behavior in at-risk males. Preparticipation and post-participation interviews were employed as the method of data collection. Seven males (20–35 years; M = 24.57) completed preparticipation interviews and five completed follow-up interviews. Thematic analysis of preparticipation revealed that help-seeking behavior in at-risk males is impeded by the presence of male gender stereotypes, the absence of positive role models, as well as difficulty navigating challenging social landscapes. Post-participation interviews revealed that the sport provided structure and fitness for at-risk males, while the counseling was pivotal for personal growth. Improved relationships, work life, and self-esteem were also observed. The sporting element of the program helped to reduce stigma associated with engaging in psychotherapy, and positive male relationships were noted as particularly impactful. Findings support previous research indicating that combining sports and psychotherapy positively impacts young males’ mental health. Sport provides an acceptable doorway to psychotherapy, providing space to explore personal issues.

Category representations in the brain are both discretely localized and widely distributed

Whether category information is discretely localized or represented widely in the brain remains a contentious issue. Initial functional MRI studies supported the localizationist perspective that category information is represented in discrete brain regions. More recent fMRI studies using machine learning pattern classification techniques provide evidence for widespread distributed representations. However, these latter studies have not typically accounted for shared information. Here, we find strong support for distributed representations when brain regions are considered separately. However, localized representations are revealed by using analytical methods that separate unique from shared information among brain regions. The distributed nature of shared information and the localized nature of unique information suggest that brain connectivity may encourage spreading of information but category-specific computations are carried out in distinct domain-specific regions. NEW & NOTEWORTHY Whether visual category information is localized in unique domain-specific brain regions or distributed in many domain-general brain regions is hotly contested. We resolve this debate by using multivariate analyses to parse functional MRI signals from different brain regions into unique and shared variance. Our findings support elements of both models and show information is initially localized and then shared among other regions leading to distributed representations being observed.

Sensitivity to Faces with Typical and Atypical Part Configurations within Regions of the Face-processing Network: An fMRI Study

Perception of faces has been shown to engage a domain-specific set of brain regions, including the occipital face area (OFA) and the fusiform face area (FFA). It is commonly held that the OFA is responsible for the detection of faces in the environment, whereas the FFA is responsible for processing the identity of the face. However, an alternative model posits that the FFA is responsible for face detection and subsequently recruits the OFA to analyze the face parts in the service of identification. An essential prediction of the former model is that the OFA is not sensitive to the arrangement of internal face parts. In the current fMRI study, we test the sensitivity of the OFA and FFA to the configuration of face parts. Participants were shown faces in which the internal parts were presented in a typical configuration (two eyes above a nose above a mouth) or in an atypical configuration (the locations of individual parts were shuffled within the face outline). Perception of the atypical faces evoked a significantly larger response than typical faces in the OFA and in a wide swath of the surrounding posterior occipitotemporal cortices. Surprisingly, typical faces did not evoke a significantly larger response than atypical faces anywhere in the brain, including the FFA (although some subthreshold differences were observed). We propose that face processing in the FFA results in inhibitory sculpting of activation in the OFA, which accounts for this region's weaker response to typical than to atypical configurations.

Impact of classification systems (DSM-5, DSM-IV, CAM and DRS-R98) on outcomes of delirium

Introduction

Previous studies showed different classification systems lead to different case identification and rates of delirium. No one has previously investigated the influence of different classification systems on the outcomes of delirium.

Aims and objectives

To determine the influence of DSM-5 criteria vs. DSM-IV on delirium outcomes (mortality, length of stay, institutionalisation) including DSM-III and DSM-IIR criteria, using CAM and DRS-R98 as proxies.

Methodology

Prospective, longitudinal, observational study of elderly patients 70+ admitted to acute medical wards in Sligo University Hospital. Participants were assessed within 3 days of admission using DSM-5, and DSM-IV criteria, DRS-R98, and CAM scales.

Results

Two hundred patients [mean age 81.1 ± 6.5; 50% female]. Rates (prevalence and incidence) of delirium for each diagnostic method were: 20.5% (n = 41) for DSM-5; 22.5% (n = 45) for DSM-IV; 18.5% (n = 37) for DRS-R98 and 22.5%, (n = 45) for CAM. The odds ratio (OR) for mortality (each diagnostic method respectively) were: 3.37, 3.11, 2.42, 2.96. Breslow-Day test on homogeneity of OR was not significant x2= 0.43, df: 3, P = 0.93. Those identified with delirium using the DSM-IV, DRS-R98 and CAM had significantly longer hospital length of stay(los) compared to those without delirium but not with those identified by DSM-5 criteria. Re-institutionalisation, those identified with delirium using DSM-5, DSM-IV and CAM did not have significant differences in discharge destination compared to those without delirium, those identified with delirium using DRS-R98 were more likely discharged to an institution (z = 2.12, P = 0.03)

Conclusion

Assuming a direct association between delirium and examined outcomes (mortality, los and discharge destination) different classification systems for delirium identify populations with different outcomes.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach

IMPORTANCE

Depressive severity is typically measured according to total scores on questionnaires that include a diverse range of symptoms despite convincing evidence that depression is not a unitary construct. When evaluated according to aggregate measurements, treatment efficacy is generally modest and differences in efficacy between antidepressant therapies are small.

OBJECTIVES

To determine the efficacy of antidepressant treatments on empirically defined groups of symptoms and examine the replicability of these groups.

DESIGN, SETTING, AND PARTICIPANTS

Patient-reported data on patients with depression from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial (n = 4039) were used to identify clusters of symptoms in a depressive symptom checklist. The findings were then replicated using the Combining Medications to Enhance Depression Outcomes (CO-MED) trial (n = 640). Mixed-effects regression analysis was then performed to determine whether observed symptom clusters have differential response trajectories using intent-to-treat data from both trials (n = 4706) along with 7 additional placebo and active-comparator phase 3 trials of duloxetine (n = 2515). Finally, outcomes for each cluster were estimated separately using machine-learning approaches. The study was conducted from October 28, 2014, to May 19, 2016.

MAIN OUTCOMES AND MEASURES

Twelve items from the self-reported Quick Inventory of Depressive Symptomatology (QIDS-SR) scale and 14 items from the clinician-rated Hamilton Depression (HAM-D) rating scale. Higher scores on the measures indicate greater severity of the symptoms.

RESULTS

Of the 4706 patients included in the first analysis, 1722 (36.6%) were male; mean (SD) age was 41.2 (13.3) years. Of the 2515 patients included in the second analysis, 855 (34.0%) were male; mean age was 42.65 (12.17) years. Three symptom clusters in the QIDS-SR scale were identified at baseline in STAR*D. This 3-cluster solution was replicated in CO-MED and was similar for the HAM-D scale. Antidepressants in general (8 of 9 treatments) were more effective for core emotional symptoms than for sleep or atypical symptoms. Differences in efficacy between drugs were often greater than the difference in efficacy between treatments and placebo. For example, high-dose duloxetine outperformed escitalopram in treating core emotional symptoms (effect size, 2.3 HAM-D points during 8 weeks, 95% CI, 1.6 to 3.1; P < .001), but escitalopram was not significantly different from placebo (effect size, 0.03 HAM-D points; 95% CI, -0.7 to 0.8; P = .94).

CONCLUSIONS AND RELEVANCE

Two common checklists used to measure depressive severity can produce statistically reliable clusters of symptoms. These clusters differ in their responsiveness to treatment both within and across different antidepressant medications. Selecting the best drug for a given cluster may have a bigger benefit than that gained by use of an active compound vs a placebo.

Holistic versus feature-based binding in the medial temporal lobe

A central question for cognitive neuroscience is how feature-combinations that give rise to episodic/source memories are encoded in the brain. Although there is much evidence that the hippocampus (HIP) is involved in feature binding, and some evidence that other brain regions are as well, there is relatively little evidence about the nature of the resulting representations in different brain regions. We used multivoxel pattern analysis (MVPA) to investigate how feature combinations might be represented, contrasting two possibilities, feature-based versus holistic. Participants viewed stimuli that were composed of three source features - a person (face or body), a scene (indoor or outdoor), and an object (bike or luggage) - which were combined to make eight unique stimulus identities. We reasoned that regions that can classify the eight identities (a multiclass classification) but not the individual features (a binary classification) likely have a holistic representation of each identity. In contrast, regions that can classify the eight identities and can classify each feature are likely to contain feature-based representations of these identities. To further probe the extent of feature-based or holistic classification in each region, we developed and validated a novel approach that directly compares binary and multiclass classification. We found clear evidence for holistic representation in the parahippocampal cortex (PHC), consistent with theories that posit that pattern-separation-like binding mechanisms are not unique to the HIP. Further clarifying the mechanisms of feature binding should benefit from systematic comparisons of multi-feature representations and whether they vary with task, type of stimulus, and/or experience.

The Effects of Face Inversion and Face Race on the P100 ERP

Research about the neural basis of face recognition has investigated the timing and anatomical substrates of different stages of face processing. Scalp-recorded ERP studies of face processing have focused on the N170, an ERP with a peak latency of ∼170 msec that has long been associated with the initial structural encoding of faces. However, several studies have reported earlier ERP differences related to faces, suggesting that face-specific processes might occur before N170. Here, we examined the influence of face inversion and face race on the timing of face-sensitive scalp-recorded ERPs by examining neural responses to upright and inverted line-drawn and luminance-matched white and black faces in a sample of white participants. We found that the P100 ERP evoked by inverted faces was significantly larger than that evoked by upright faces. Although this inversion effect was statistically significant at 100 msec, the inverted-upright ERP difference peaked at 138 msec, suggesting that it might represent an activity in neural sources that overlap with P100. Inverse modeling of the inversion effect difference waveform suggested possible neural sources in pericalcarine extrastriate visual cortex and lateral occipito-temporal cortex. We also found that the inversion effect difference wave was larger for white faces. These results are consistent with behavioral evidence that individuals process the faces of their own races more configurally than faces of other races. Taken together, the inversion and race effects observed in the current study suggest that configuration influences face processing by at least 100 msec.