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Background: Patient participation in treatment decision making is a pillar of recovery-oriented care and is associated with improvements in empowerment and well-being. Although demand for increased involvement in treatment decision-making is high among veterans with serious mental illness, rates of involvement are low. Collaborative decision skills training (CDST) is a recovery-oriented, skills-based intervention designed to support meaningful patient participation in treatment decision making. An open trial among veterans with psychosis supported CDST's feasibility and demonstrated preliminary indications of effectiveness. A randomized control trial (RCT) is needed to test CDST's effectiveness in comparison with an active control and further evaluate implementation feasibility., Methods: The planned RCT is a hybrid type 1 trial, which will use mixed methods to systematically evaluate the effectiveness and implementation feasibility of CDST among veterans participating in a VA Psychosocial Rehabilitation and Recovery Center (PRRC) in Southern California. The first aim is to assess the effectiveness of CDST in comparison with the active control via the primary outcome, collaborative decision-making behavior during usual care appointments between veterans and their VA mental health clinicians, and secondary outcomes (i.e., treatment engagement, satisfaction, and outcome). The second aim is to characterize the implementation feasibility of CDST within the VA PRRC using the Practical Robust Implementation and Sustainability Model framework, including barriers and facilitators within the PRRC context to support future implementation., Discussion: If CDST is found to be effective and feasible, implementation determinants gathered throughout the study can be used to ensure sustained and successful implementation at this PRRC and other PRRCs and similar settings nationally., Trial Registration: ClinicalTrials.gov NCT04324944. Registered on March 27, 2020. Trial registration data can be found in Appendix 1., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

The aging population of the world is increasing at an unprecedented rate which is expected to lead to a corresponding unparalleled increase in age related diseases. Of particular concern are the large number of older adults expected to develop Alzheimer's disease (AD), which will require extraordinary local, national and worldwide healthcare resources. In this context, innovative interventions are needed urgently to delay AD onset and thereby give our healthcare systems time to prepare and provide meaningful care to our aging populations. This focused review discusses the crucial role of frontal gamma oscillations as a therapeutic target to delay or ameliorate cognitive decline in AD. Frontal gamma oscillations, including from prefrontal cortical areas, serve as a biomarker for working memory and other cognitive functions, and their impairment is observed before clinical symptoms manifest. This review evaluates evidence from animal models and human subjects to highlight the correlation between gamma wave abnormalities and cognitive deterioration. Furthermore, the review summarizes 11 clinical studies using neuromodulation techniques designed to stimulate gamma oscillations in mild cognitive impairment (MCI) and AD patients, including transcranial electrical stimulation, transcranial magnetic stimulation, and rhythmic sensory stimulation. These interventions have shown promise in mitigating early-stage cognitive decline, as evidenced by improved performance on memory tests, increased gamma oscillatory responses, and some have even shown reduced brain atrophy. These early studies suggest that treatments that strengthen frontal gamma oscillatory responses through neuromodulation are a promising approach to delay cognitive decline, that may serve as an adjunct to other therapies or as a standalone treatment in some populations., Competing Interests: CONFLICTS OF INTEREST Drs. Shu, Granholm, and Singh have equity interests in BioSignal Solutions LLC. The terms of this arrangement have been reviewed and approved by the University of California, San Diego in accordance with its conflict of interest policies

Objectives: Persons with schizophrenia, schizoaffective, or bipolar I disorder are more likely to die by suicide compared to the general population. Dysfunctional attitudes have been shown to be significant predictors of cognitive vulnerability to depression, hopelessness, and poor problem-solving skills, which predict suicidal ideation. Dysfunctional attitudes are common in persons with schizophrenia spectrum disorders (SSDs) and bipolar I. The Reasons for Living Inventory (RFLI) examines distinct reasons for not dying by suicide. This study's objectives were to examine the relationship between the RFLI subscales and dysfunctional attitudes among persons with SSDs and bipolar I. We hypothesized significant positive correlations between two RFLI subscales (Fear of Suicide and Fear of Social Disapproval) and total score on the Dysfunctional Attitude Scale (DAS). We did not expect significant correlations between other subscales., Design and Methods: This correlational, cross-sectional study examined baseline scores on the RFLI and dysfunctional attitudes (DAS) among N = 102 outpatients with SSDs or bipolar I., Results: Significant positive correlations were observed between RFLI subscales Fear of Suicide and Fear of Social Disapproval and DAS total scores. No other significant relationships were observed., Conclusions: Certain reasons for living (i.e. fear of suicide and social disapproval) may be associated with dysfunctional attitudes among persons with SSDs or bipolar I. These, in turn, may place these individuals at a greater risk for suicide by increasing their cognitive vulnerability. These findings may inform clinical treatment targets for persons with SSDs and bipolar I., (© 2023 The British Psychological Society.)

Optimal working memory (WM), the mental ability to internally maintain and manipulate task-relevant information, requires coordinated activity of dorsal-lateral prefrontal cortical (DLPFC) neurons. More specifically, during delay periods of tasks with WM features, DLPFC microcircuits generate persistent, stimulus-specific higher-frequency (e.g., gamma) activity. This activity largely depends on recurrent connections between parvalbumin positive inhibitory interneurons and pyramidal neurons in more superficial DLPFC layers. Due to the size and organization of pyramidal neurons (especially apical dendrites), local field potentials generated by DLPFC microcircuits are strong enough to pass outside the skull and can be detected using electroencephalography (EEG). Since patients with schizophrenia (SCZ) exhibit both DLPFC and WM abnormalities, EEG markers of DLPFC microcircuit activity during WM may serve as effective biomarkers or treatment targets. In this review, we summarize converging evidence from primate and human studies for a critical role of DLPFC microcircuit activity during WM and in the pathophysiology of SCZ. We also present a meta-analysis of studies available in PubMed specifically comparing frontal gamma activity between participants with SCZ and healthy controls, to determine whether frontal gamma activity may be a valid biomarker or treatment target for patients with SCZ. We summarize the complex cognitive and neurophysiologic processes contributing to neural oscillations during tasks with WM features, and how such complexity has stalled the development of neurophysiologic biomarkers and treatment targets. Finally, we summarize promising results from early reports using neuromodulation to target DLPFC neural activity and improve cognitive function in participants with SCZ, including a study from our team demonstrating that gamma-EEG neurofeedback increases frontal gamma power and WM performance in participants with SCZ. From the evidence discussed in this review, we believe the emerging field of neuromodulation, which includes extrinsic (electrical or magnetic stimulation) and intrinsic (EEG neurofeedback) modalities, will, in the coming decade, provide promising treatment options targeting specific neurophysiologic properties of specific brain areas to improve cognitive and behavioral health for patients with SCZ., (© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.)

Background: Cognitive tasks delivered during ecological momentary assessment (EMA) may elucidate the short-term dynamics and contextual influences on cognition and judgements of performance. This paper provides initial validation of a smartphone task of facial emotion recognition in serious mental illness., Methods: A total of 86 participants with psychotic disorders (non-affective and affective psychosis), aged 19-65, were administered in-lab 'gold standard' affect recognition, neurocognition, and symptom assessments. They subsequently completed 10 days of the mobile facial emotion recognition task, assessing both accuracy and self-assessed performance, along with concurrent EMA of psychotic symptoms and mood. Validation focused on task adherence and predictors of adherence, gold standard convergent validity, and symptom and diagnostic group variation., Results: The mean rate of adherence to the task was 79%; no demographic or clinical variables predicted adherence. Convergent validity was observed with in-lab measures of facial emotion recognition, and no practice effects were observed on the mobile facial emotion recognition task. EMA reports of more severe voices, sadness, and paranoia were associated with worse performance, whereas mood more strongly associated with self-assessed performance., Conclusion: The mobile facial emotion recognition task was tolerated and demonstrated convergent validity with in-lab measures of the same construct. Social cognitive performance, and biased judgements previously shown to predict function, can be evaluated in real-time in naturalistic environments.

Patients with schizophrenia (SCZ) exhibit working memory (WM) deficits that are associated with deficient dorsal-lateral prefrontal cortical activity, including decreased frontal gamma power. We thus hypothesized that training SCZ patients to increase frontal gamma activity would improve their WM performance. We administered electroencephalographic (EEG) neurofeedback (NFB) to 31 participants with SCZ for 12 weeks (24 sessions), which provides real-time visual and auditory feedback related to frontal gamma activity. The EEG-NFB training significantly improved EEG markers of optimal working memory, e.g., frontal P3 amplitude and gamma power. Based on these promising results, we developed a novel, EEGLAB/MATLAB-based brain-computer interface (BCI) that delivers F3-F4 gamma coherence NFB with a dynamic threshold to SCZ patients randomized in a double-blind, placebo-controlled clinical trial. The BCI significantly increased F3-F4 gamma coherence after 12 weeks (24 sessions) of training, according to data from the first 12 subjects ( n=6 /group) who completed gamma- or placebo-NFB training.

Introduction: The locus coeruleus (LC) undergoes extensive neurodegeneration in early Alzheimer's disease (AD). The LC is implicated in regulating the sleep-wake cycle, modulating cognitive function, and AD progression., Methods: Participants were 481 men (ages 62 to 71.7) from the Vietnam Era Twin Study of Aging. LC structural integrity was indexed by neuromelanin-sensitive magnetic resonance imaging (MRI) contrast-to-noise ratio (LC CNR ). We examined LC CNR , cognition, amnestic mild cognitive impairment (aMCI), and daytime dysfunction., Results: Heritability of LC CNR was .48. Participants with aMCI showed greater daytime dysfunction. Lower LC CNR was associated with poorer episodic memory, general verbal fluency, semantic fluency, and processing speed, as well as increased odds of aMCI and greater daytime dysfunction., Discussion: Reduced LC integrity is associated with widespread differences across cognitive domains, daytime sleep-related dysfunction, and risk for aMCI. These findings in late-middle-aged adults highlight the potential of MRI-based measures of LC integrity in early identification of AD risk., (© 2021 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

Background: Collaborative decision-making is an innovative decision-making approach that assigns equal power and responsibility to patients and providers. Most veterans with serious mental illnesses like schizophrenia want a greater role in treatment decisions, but there are no interventions targeted for this population. A skills-based intervention is promising because it is well-aligned with the recovery model, uses similar mechanisms as other evidence-based interventions in this population, and generalizes across decisional contexts while empowering veterans to decide when to initiate collaborative decision-making. Collaborative Decision Skills Training (CDST) was developed in a civilian serious mental illness sample and may fill this gap but needs to undergo a systematic adaptation process to ensure fit for veterans., Methods: In aim 1, the IM Adapt systematic process will be used to adapt CDST for veterans with serious mental illness. Veterans and Veteran's Affairs (VA) staff will join an Adaptation Resource Team and complete qualitative interviews to identify how elements of CDST or service delivery may need to be adapted to optimize its effectiveness or viability for veterans and the VA context. During aim 2, an open trial will be conducted with veterans in a VA Psychosocial Rehabilitation and Recovery Center (PRRC) to assess additional adaptations, feasibility, and initial evidence of effectiveness., Discussion: This study will be the first to evaluate a collaborative decision-making intervention among veterans with serious mental illness. It will also contribute to the field's understanding of perceptions of collaborative decision-making among veterans with serious mental illness and VA clinicians, and result in a service delivery manual that may be used to understand adaptation needs generally in VA PRRCs., Trial Registration: ClinicalTrials.gov Identifier: NCT04324944.

Mobility is an important correlate of physical, cognitive, and mental health in chronic illness, and can be measured passively with mobile phone global positional satellite (GPS) sensors. To date, GPS data have been reported in a few studies of schizophrenia, yet it is unclear whether these data correlate with concurrent momentary reports of location, vary by people with schizophrenia and healthy comparison subjects, or associate with symptom clusters in schizophrenia. A total of 142 participants with schizophrenia ( n  = 86) or healthy comparison subjects ( n  = 56) completed 7 days of ecological momentary assessment (EMA) reports of location and behavior, and simultaneous GPS locations were tracked every five minutes. We found that GPS-derived indicators of average distance travelled overall and distance from home, as well as percent of GPS samples at home were highly correlated with EMA reports of location at the day- and week-averaged level. GPS-based mobility indicators were lower in schizophrenia with medium to large effect sizes. Less GPS mobility was related to greater negative symptom severity, particularly diminished motivation, whereas greater GPS mobility was weakly associated with more community functioning. Neurocognition, depression, and positive symptoms were not associated with mobility indicators. Therefore, passive GPS sensing could provide a low-burden proxy measure of important outcomes in schizophrenia, including negative symptoms and possibly of functioning. As such, passive GPS sensing could be used for monitoring and timely interventions for negative symptoms in young persons at high risk for schizophrenia., Competing Interests: Competing interestsDr. Harvey has received consulting fees or travel reimbursements from Allergan, Alkermes, Akili, Biogen, Boehringer Ingelheim, Forum Pharma, Genentech (Roche Pharma), Intra-Cellular Therapies, Jazz Pharma, Lundbeck Pharma, Minerva Pharma, Otsuka America (Otsuka Digital Health), Sanofi Pharma, Sunovion Pharma, Takeda Pharma, and Teva. He receives royalties from the Brief Assessment of Cognition in Schizophrenia and the MATRICS Consensus Battery. He is chief scientific officer of i-Function, Inc. He has a research grant from Takeda and from the Stanley Medical Research Foundation. Dr. Granholm has received consulting fees from Otsuka Pharmaceuticals. The remaining authors declare no competing interests., (© The Author(s) 2019.)

Locus coeruleus (LC) tau accumulation begins early. Targeting LC (dys)function might improve early identification for Alzheimer's disease (AD) risk. Pupillary responses during cognitive tasks are driven by the LC and index cognitive effort. Despite equivalent task performance, adults with mild cognitive impairment have greater pupil dilation/effort during digit span than cognitively normal (CN) individuals. We hypothesized that AD polygenic risk scores (AD-PRSs) would be associated with pupillary responses in middle-aged CN adults. Pupillary responses during digit span tasks were heritable (h 2  = 0.30-0.36) in 1119 men aged 56-66 years. In a CN subset-all with comparable span capacities (n = 539)-higher AD-PRSs were associated with greater pupil dilation/effort in a high (9-digit) cognitive load condition (Cohen's d = 0.36 for upper vs. lower quartile of AD-PRS distribution). Results held up after controlling for APOE genotype. Results support pupillary response-and by inference, LC dysfunction-as a genetically mediated biomarker of early mild cognitive impairment/AD risk. In combination with other biomarkers, task-evoked pupillary responses may provide additional information for early screening of genetically at-risk individuals even before cognitive declines., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Psychosocial interventions for serious mental illness are resource intensive and poorly accessible. Brief interventions (eg, single session) that are augmented by follow-on automated mobile health intervention may expand treatment access. This was a randomized single-blind controlled trial with 255 individuals diagnosed with schizophrenia or bipolar disorder. Participants were randomized to one of three conditions: CBT2go, which combined one individual session of cognitive behavioral therapy with automated thought challenging/adaptive behavior delivered through mobile devices; Self-Monitoring (SM), which combined single-session illness psychoeducation with self-monitoring of symptoms; and treatment-as-usual (TAU). Participants were assessed at baseline, 6 weeks (midpoint), 12 weeks (posttreatment), and 24 weeks (follow-up) with our primary outcome global psychopathology (Brief Psychiatric Rating Scale-expanded version [BPRS-24]), and secondary outcomes community functioning (Specific Level of Function; SLOF) and defeatist performance beliefs (DPBs). We also collected data on adverse events. Outcome analyses on the primary outcome, BPRS Total score, indicated a significant time (0-24 wk) by group interaction with significant but modest improvement comparing two active conditions (CBT2go and SM) relative to TAU. Effects of CBT2go were not different from SM. There was a significant time × group interaction with better SLOF scores in CBT2go across 24 weeks, but not in SM. There were no time-by-group effects on DPBs. DPBs decreased in the CBT2go condition but not in SM. These results indicated that single intervention augmented by mobile intervention was feasible and associated with small yet sustained effects on global psychopathology and, when inclusive of CBT, community function compared with usual care., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Neurocognitive and theory of mind deficits, dysfunctional attitudes, and negative symptoms have all been linked to poor functioning in schizophrenia, but interactions among these factors have not been extensively examined. We investigated whether dysfunctional attitudes (e.g., defeatist performance beliefs and social disinterest attitudes) moderated associations between neurocognition and theory of mind and poor everyday functioning and social competence in 146 participants with schizophrenia. We examined whether cognitive deficits are more likely to influence functioning in participants with more severe dysfunctional attitudes. Social disinterest, but not defeatist performance, attitudes were found to moderate associations between cognitive deficits and social competence but not everyday functioning, such that neurocognition and theory of mind deficits were only associated with poorer social competence in participants with more severe social disinterest attitudes. In contrast, no significant moderation effects were found for defeatist performance beliefs. Findings indicate that deficits in abilities were less likely to impact social competence in participants with greater interest in socializing. It may be that greater motivation for socializing engenders increased practice and engagement in social interactions, which then leads to greater social competence despite poor cognitive abilities. Treatments that target social disinterest attitudes may lead to greater social competence and engagement., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Pupillary responses during cognitive tasks are linked to functioning of the locus coeruleus (LC). The LC is an early site of abnormal tau deposition, which may contribute to key aspects of Alzheimer's disease (AD) pathophysiology. We previously found attenuation of pupillary responses to increases in cognitive load in individuals with mild cognitive impairment (MCI), suggesting pupillary responses may provide a biomarker of early risk for AD associated with LC dysfunction. The LC modulates cortical activity through two modes of operation: tonic and phasic. Early LC damage has been predicted to result in a state of persistent high tonic LC activity that may disrupt task-related phasic activity. To further examine whether pupillary responses are associated with early LC dysfunction, we measured pupil dilation during a digit span task as a measure of phasic activity, and low frequency BOLD variance (LFBV) during resting-state fMRI in key nodes of the ventral attention network (VAN) as a measure of cortical reactivity related to LC tonic activity in 358 middle-aged men. Individuals with greater LFBV in VAN nodes, i.e., higher tonic brain activity at rest, showed a smaller increase in pupil dilation from low to moderate cognitive loads. Thus, higher tonic LFBV activity at rest was related to reduced task-appropriate phasic dilation increases. The results support predictions from prominent models of LC functioning in which early LC dysfunction leads to persistent high tonic rates of activity during rest and lower signal-to-noise of phasic responses during task performance. Taken together with previous findings of early AD pathophysiology in LC and reduced phasic dilation responses to increased cognitive load in individuals with MCI, the present results suggest that pupillary responses may index early LC dysfunction and should receive further study as a potential biomarker of risk for AD., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Task-evoked pupillary responses may be a psychophysiological biomarker of early risk for mild cognitive impairment (MCI) and Alzheimer's disease (AD). Pupil dilation during cognitive tasks reflects cognitive effort until compensatory capacity is surpassed and performance declines are manifest, and reflects activation in the locus coeruleus, where degenerative changes have been found in the earliest stages of AD. We recorded pupillary responses during digit span recall in 918 participants ages 56-66. Despite normal performance, amnestic single-domain MCI (S-MCI) participants showed greater pupil dilation than non-amnestic S-MCI and cognitively normal (CN) participants at lower cognitive loads. Multi-domain MCI (M-MCI) participants failed to modulate effort across cognitive loads and showed poorer performance. Pupillary responses differentiated MCI and CN groups. Amnestic S-MCI participants required compensatory effort to maintain performance, consistent with increased risk for decline. Greater effort in CN individuals might indicate risk for MCI. Results are consistent with dysfunction in locus coeruleus-linked brain systems. This brief task shows promise as a biomarker for early MCI and AD risk prediction.

Despite the increasing attention to social appraisals in suicide risk, the interpersonal correlates of suicidal thoughts and behavior in schizophrenia are not well understood. Ecological momentary assessment could reveal whether dysfunctional social appraisals and behavior are evident in people with schizophrenia with suicidal ideation. A total of 93 outpatients with diagnoses of schizophrenia with (n=18, 19%) and without (N=75; 81%) suicidal ideation participated in one week of intensive daily monitoring via mobile devices, generating real-time reports on the quantity of social interactions and appraisals about them, as well as information concerning concurrent affect and symptoms. The presence of suicidal ideation was not associated with the quantity of social interactions or time spent alone, but it was associated with the anticipation of being alone as well as greater negative and lower positive affect when alone. Despite this aversive experience of being alone, people with suicidal ideation reported negative appraisals about the value of recent and potential social interactions. These findings suggest that suicidal ideation in schizophrenia may not be associated with the quantity of social interactions, but with negative expectations about the quality of social interactions coupled with an aversive experience of being alone. Cognitive therapy interventions that address negative expectations and pleasure about social interactions, especially when alone, may reduce suicidal ideation., (Copyright © 2016. Published by Elsevier B.V.)

Background: Impulsivity is frequently linked with bipolar disorder and is associated with mania and negative outcomes. The temporal dynamics of subjective impulsivity are unclear, in particular whether impulsivity precedes or follows changes in positive or negative affect., Methods: A total of 41 outpatients with bipolar disorder (I or II) were provided with mobile devices for 11 weeks and completed twice-daily surveys about affective states and subjective impulsivity. We examined the association between aggregate subjective impulsivity with baseline global cognitive function, suicide risk ratings, and medication adherence, as well as concurrent and lagged associations with momentary positive and negative affect ratings., Results: A total of 2902 ratings were available across study subjects. Higher aggregate mean ratings of impulsivity were associated with worse baseline global cognitive function, prior suicide attempts, and self-reported problems with medication adherence, as well as more severe manic (but not depressive) symptoms. Time-lagged models indicated that greater negative affect, but not positive affect, predicted subsequent increases in subjective impulsivity, which, in turn, predicted diminished positive affect., Limitations: Other measures of impulsivity with which to validate subjective ratings were unavailable and the sample was restricted to generally clinically stable outpatients., Conclusions: Subjective impulsivity as measured by daily monitoring was associated with worse cognitive function and self-rated medication adherence, and higher suicide risk ratings. Impulsivity may be a maladaptive strategy to regulate negative affect in bipolar disorder., (Copyright © 2016. Published by Elsevier B.V.)

Background: Psychosocial interventions for bipolar disorder are frequently unavailable and resource intensive. Mobile technology may improve access to evidence-based interventions and may increase their efficacy. We evaluated the feasibility, acceptability and efficacy of an augmentative mobile ecological momentary intervention targeting self-management of mood symptoms., Methods: This was a randomized single-blind controlled trial with 82 consumers diagnosed with bipolar disorder who completed a four-session psychoeducational intervention and were assigned to 10 weeks of either: 1) mobile device delivered interactive intervention linking patient-reported mood states with personalized self-management strategies, or 2) paper-and-pencil mood monitoring. Participants were assessed at baseline, 6 weeks (mid-point), 12 weeks (post-treatment), and 24 weeks (follow up) with clinician-rated depression and mania scales and self-reported functioning., Results: Retention at 12 weeks was 93% and both conditions were associated with high satisfaction. Compared to the paper-and-pencil condition, participants in the augmented mobile intervention condition showed significantly greater reductions in depressive symptoms at 6 and 12 weeks (Cohen׳s d for both were d=0.48). However, these effects were not maintained at 24-weeks follow up. Conditions did not differ significantly in the impact on manic symptoms or functional impairment., Limitations: This was not a definitive trial and was not powered to detect moderators and mediators., Conclusions: Automated mobile-phone intervention is feasible, acceptable, and may enhance the impact of brief psychoeducation on depressive symptoms in bipolar disorder. However, sustainment of gains from symptom self-management mobile interventions, once stopped, may be limited., (Published by Elsevier B.V.)

Among substance-dependent individuals, comorbid major depressive disorder (MDD) is associated with greater severity and poorer treatment outcomes, but little research has examined mediators of posttreatment substance use outcomes within this population. Using latent growth curve models, the authors tested relationships between individual rates of change in 12-step involvement and substance use, utilizing posttreatment follow-up data from a trial of group Twelve-Step Facilitation (TSF) and integrated cognitive-behavioral therapy (ICBT) for veterans with substance dependence and MDD. Although TSF patients were higher on 12-step affiliation and meeting attendance at end-of-treatment as compared with ICBT, they also experienced significantly greater reductions in these variables during the year following treatment, ending at similar levels as ICBT. Veterans in TSF also had significantly greater increases in drinking frequency during follow-up, and this group difference was mediated by their greater reductions in 12-step affiliation and meeting attendance. Patients with comorbid depression appear to have difficulty sustaining high levels of 12-step involvement after the conclusion of formal 12-step interventions, which predicts poorer drinking outcomes over time. Modifications to TSF and other formal 12-step protocols or continued therapeutic contact may be necessary to sustain 12-step involvement and reduced drinking for patients with substance dependence and MDD.

Problems in real-world functioning are pervasive in schizophrenia and much recent effort has been devoted to uncovering factors which contribute to poor functioning. The goal of this study was to examine the role of four such factors: social cognition (theory of mind), neurocognition, negative symptoms, and functional capacity (social competence). 178 individuals with schizophrenia or schizoaffective disorder completed measures of theory of mind, neurocognition, negative symptoms, social competence, and self-reported functioning. Path models sought to determine the relationships among these variables. Theory of mind as indexed by the Hinting Task partially mediated the relationship between neurocognition and social competence, and negative symptoms and social competence demonstrated significant direct paths with self-reported functioning. Study results suggest theory of mind serves as an important mediator in addition to previously investigated social cognitive domains of emotional and social perception. The current study also highlights the need to determine variables which mediate the relationship between functional capacity and real-world functioning., (Copyright © 2010 Elsevier B.V. All rights reserved.)

Computerized ambulatory monitoring overcomes a number of methodological and conceptual challenges to studying mental disorders, however concerns persist regarding the feasibility of this approach with severe psychiatric samples and the potential of intensive monitoring to influence data quality. This multi-site investigation evaluates these issues in four independent samples. Patients with schizophrenia (n = 56), substance dependence (n = 85), anxiety disorders (n = 45), and a non-clinical sample (n = 280) were contacted to participate in investigations using computerized ambulatory monitoring. Micro-computers were used to administer electronic interviews several times per day for a one-week period. Ninety-five percent of contacted individuals agreed to participate in the study, and minimum compliance was achieved by 96% of these participants. Seventy-eight percent of all programmed assessments were completed overall, and only 1% of micro-computers were not returned to investigators. There was no evidence that missing data or response time increased over the duration of the study, suggesting that fatigue effects were negligible. The majority of variables investigated did not change in frequency as a function of study duration, however some evidence was found that socially sensitive behaviors changed in a manner consistent with reactivity.

Retrograde amnesia (RA) was studied in patients with Huntington's disease (HD) or Alzheimer's disease (AD) using an updated version of the remote memory battery originally developed by Albert, Butters and Levin. Regardless of whether remote memory was measured by unaided recall or cued recall, HD patients exhibited deficits that were equally severe across decades. RA was more severe in AD than in HD patients and the AD patients recalled significantly more items from the 1940s and 50s than from the 60s, 70s or 80s. The AD patients also displayed dysnomia, while the HD patients did not. Naming difficulties appeared to contribute to the poor overall performance of the AD patients, but did not account for the temporal gradient of their RA. These findings, like recent reports focusing on these patients' ability to learn new information and to search semantic memory, indicate that the processes underlying AD and HD patients' memory failures are distinct.