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Bell Canada

Bell Let's Talk has committed $155M to mental health initiatives. The Community Fund provides grants for local mental health programs across Canada.

NIAMS - National Institute of Arthritis and Musculoskeletal and Skin Diseases

PROJECT SUMMARY/ABSTRACT Pediatric Amplified Musculoskeletal Pain Syndrome (AMPS) is becoming increasingly common, affecting between 11 – 38% of youth. AMPS is associated with significant stress, psychological impairment, and functional disability, resulting in tremendous healthcare costs. Moreover, AMPS conditions often persist into adulthood, increasing lifetime risk for psychiatric and medical comorbidities and earlier mortality. There is a critical lack of understanding of the processes involved in the onset, maintenance, and exacerbation of chronic pain conditions in youth, hampering efforts to develop interventions, which are currently limited and ineffective for a significant subset of patients. Comprehensive understanding of the biopsychosocial factors underlying chronic pain disorders like AMPS are needed to inform the development of novel, effective prevention and treatment approaches. Data suggest that altered stress physiology (e.g., allostatic load) may play a role in chronic pain conditions, with possible intergenerational implications. Parallel lines of research indicate that adversity exposure (e.g., abuse, violence), neurobiological functioning, and psychological impairment across youth-parent dyads contribute to the onset and maintenance of pain. The overall goal of the proposed project is to test an intergenerational model of chronic amplified musculoskeletal pain syndrome (AMPS) in youth and their biological mother/birthing parent that incorporates these constructs to elucidate mechanisms responsible for AMPS, thereby identifying potential prevention and intervention targets. The project aims will be accomplished by following a cohort of pediatric AMPS patient-parent dyads (N = 170) and healthy control – parent dyads (N = 85) over a 2-year period, repeatedly assessing pain characteristics (e.g., intensity, frequency), stress exposures, neurobiological functioning (conceptualized as allostatic load), psychological impairment, and psychosocial- biobehavioral resilience. Analyses will (a) identify the combination of neurobiological stress measures in isolation and cumulatively (as allostatic load) most predictive of AMPS symptoms in youth; (b) define correspondence of these measures in parent-child dyads; (c) identify parental characteristics (e.g., adversity history, parent mental health, parent stress neurobiology, parent-child relationship quality) most predictive of AMPS symptoms in youth; (d) identify psychosocial and biobehavioral resilience characteristics (e.g., coping style, social support, physical activity) that buffer the effects of intergenerational adversity exposure on pain characteristics; and (e) compare neurobiological stress processes in chronic pain patients and sociodemographically-matched healthy controls. The findings may be translated into the development of mechanistically informed prevention and treatment methods that target the most influential modifiable biopsychosocial pathways involved in AMPS and stress physiology and that may be personalized based on individual and familial risk profiles for maximum benefit. Studying these phenomena in youth-parent dyads is critical given that the majority of research in this area has focused on adult populations or with individually focused (i.e., pediatric pain patients) cross-sectional designs.

NIH

Background: Employment is a major social determinant of health. In Veterans with substance use disorders (SUDs), employment is associated positive health and wellbeing. However, many Veterans with SUDs are unemployed and the majority do not have access to quality employment supports. In response, national VA policy by the Office of Mental Health and Suicide Prevention (OMHSP) mandated the implementation of empirically based supported employment (SE) services into SUD specialty treatment settings (SE-SUD) at 156 VA sites. SE was originally developed, tested, and used to help people with serious mental illness attain community work, hence, this SE-SUD initiate is a new application of this recovery service. To date, SE-SUD implementation has been slow, and the nature and effects of the rollout on Veteran outcomes are unknown. Significance: This project advances the President’s National Drug Control Strategy that emphasizes the employment needs of Americans with SUDs. The study will also further the goals of the 2016 Comprehensive Addiction and Recovery Act promoting the study and utilization of patient centered, behavioral approaches in opioid use disorders (OUD). SE-SUD represents a novel approach to enhance wellness in this population. In addition, this study tackles a chief social determinant of health, employment, in a marginalized population that has been historically underserved regarding their employment needs. Innovation & impact: Leveraging multiple sources of system-wide VA and non-VA community data and incorporating an array of stakeholder input and data, this project will used the expanded RE-AIM framework to study SE-SUD implementation outcomes, in addition to key contextual factors that impact these outcomes. Additionally, guided by the FRAME model, this is one of the first studies to examine the extent and nature of practice modifications as they are applied in the real world as related to patient outcomes involved in a complex integrative service in SE. Innovative methods, including configurational analyses, will identify causal relationships between modifications and employment outcomes. These findings will inform novel directions for other health services interventions that seek to address social determinants of health by optimizing practice through a balance of maintaining quality guidelines with empirically driven, planned adaptation s. Specific Aims: Aim 1 will assess the RE-AIM domains of SE-SUD adoption, factors driving adoption, and reach. The results will produce a range of high and low reach sites that will be the focus of intensive data collection in Aim 2, in which implementation process will be described and SE-SUD fidelity and modifications used by providers will be examined. Aim 3 will prospectively examine the effects of SE-SUD on Veteran outcomes. Lastly, the relationship between modifications, fidelity, and Veteran outcomes will be assessed. Methods: This study will use convergent parallel mixed methods design. Aim 1 will integrate national survey and administrative data to determine SE-SUD adoption, factors driving adoption, and reach. Using a case summary matrix approach, Aim 2 will combine data from site visits, chart reviews, and interviews at 24 sites to assess SE-SUD implementation process, fidelity, and modifications. Using an interrupted time series design, Aim 3 will examine effects of SE-SUD on Veteran outcomes across 9 months (primary endpoint) in a national sample of 180 unemployed Veterans receiving SE-SUD. Outcomes include employment, health, recovery, and suicidality. Configurational analysis will identify SE modifications associated with favorable Veteran outcomes. Next steps/Implementation: In close collaboration with OMHSP partners, BEST-SE findings will inform future policy changes regarding the integration of SE services into multi-tiered SUD treatment settings and practice guidelines that promote Veteran outcomes accompanied by empirically defined modifications that fit local context. The study will also provide information and tools to improve national uptake and maintenance of SE- SUD and will inform the ability of SE-SUD to improve employment in a vulnerable Veteran population.

European Commission - HORIZON

Boosting mental health of young cancer survivors through the European Cancer Patient Digital Centre (ECPDC). Call: Supporting the implementation of the Cancer Mission. Programme: HORIZON. Keywords: Man-machine-interfaces, Mental health, Patient care, Quality-of-life. Open call from the EU Funding & Tenders Portal.

Brain & Behavior Research Foundation

Funds mental health research at $30M/year through NARSAD grants for all career levels.

NIMH - National Institute of Mental Health

PROJECT SUMMARY Pathophysiological studies in first episode psychosis (FEP) have been inconsistent due to the heterogeneity in age of onset, clinical presentation, and neurobiology in schizophrenia spectrum disorders (SSD). Neuroimaging studies, postmortem investigations, and blood-based biomarker experiments provide intriguing insights into potential abnormalities related to the barriers of the brain of individuals with SSD, but only 1% of existing studies have focused on mid- to late-life FEP. Clinical and biomarker studies in SSD have repeatedly shown three phenomena: First, is blood brain barrier (BBB) dysfunction in neuroimaging, postmortem, blood- and CSF-based studies in individuals with SSD. Second, is the involvement of the blood cerebral spinal fluid barrier (BCSFB) as evidenced by enlargement of the choroid plexus (ChP) in SSD, FEP and in individuals at high risk for psychosis. Third, there is a nascent but growing research area related to the disruption of the glymphatic system (GS) in SSD. Moreover, there is a growing body of evidence in aging, sleep, and neurodegenerative studies suggesting a link between disruptions in the BBB, BCSFB, and GS to clinical outcomes. These barrier systems, regulate trafficking between the blood and the brain through physical, enzymatic, transport, and immunological processes, and they have tightly regulated interrelationships between them to ensure a healthy brain environment. However, despite the complementary roles between the BBB, BCSFB, and GS, the interaction between these systems in mid- to late-life FEP has not been explored. Advances in neuromaging and blood-based techniques have improved upon existing tools to assess BBB, BCSFB, and GS function and they include gadolinium-enhanced MRI methods like dynamic contrast enhanced-MRI (DCE-MRI) and the isolation of circulating brain microvascular endothelial cells (cBMECs) in the blood. Therefore, the critical need and overall objectives for this study are to unite neuroimaging, cBMEC, and clinical phenotypes in the same individuals to mechanistically link barrier disruptions to clinical outcomes in mid- to late-life FEP. Our central hypothesis is that biomarkers of BBB, BSCFB, and GS dysfunction are associated with poorer clinical outcomes in mid- to late-life FEP. Here, we aim to test the hypothesis that: 1) barrier/GS disruptions are associated with mid- to late-life FEP, 2) cBMECs are a proxy of BBB deficits in mid- to late-life FEP, and 3) barrier/GS deficits are associated with worse symptoms, cognition, and functioning in mid- to late-life FEP. Lastly, we will determine the interrelationship between barrier and GS deficits in mid- to late-life FEP. The proposed research is innovative in combining in vivo imaging of the BBB, BCSFB, and GS with clinical measures in the same individuals to better understand the barrier/GS deficits associated with clinical outcomes in mid- to late-life FEP. The proposed research is significant because it will lay the groundwork for a robust non-invasive platform to screen for cBMECs to pathophysiologically stratify patients, a first for SSD, that may lead to the prioritization of novel therapeutic approaches to regulate barrier dysfunction in SSD.

Brain Canada Foundation

Brain Canada catalyzes brain research through the Canada Brain Research Fund, supporting projects on neurological and mental health conditions.

National Institutes of Health

The National Institute of Mental Health (NIMH), with other NIH Institutes and Centers (ICs), intends to publish a notice of funding opportunity (NOFO) to solicit research applications for the BRAIN Initiative Cell Atlas Network (BICAN) Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE). In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding. The overall goals of CUBIE are to (i) enable the exploration of large-scale brain cell atlas data and knowledge, and inspire research in brain function and disorders; and (ii) ensure research rigor and data reproducibility by making the data Findable, Accessible, Interoperable, and Reusable (FAIR), and the process transparent. This is a renewal that will continue the funding for a 2-year period. Applications are not being solicited at this time. Notice is being provided to allow eligible applicants sufficient time to develop meaningful collaborations and responsive projects. Applications are expected to collaborate with the broader research community to analyze and interpret all existing brain cell census/atlas data to enhance statistical power, ensure research rigor and data reproducibility, and foster the formation of a brain cell atlas ecosystem by leveraging recent Artificial Intelligence/Machine Learning (AI/ML) advancements.

National Institutes of Health

<p>The National Institute of Mental Health (NIMH), with other NIH Institutes and Centers (ICs), intends to publish a notice of funding opportunity (NOFO) to solicit research applications for the BRAIN Initiative Cell Atlas Network (BICAN) Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE). In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding. The overall goals of CUBIE are to (i) enable the exploration of large-scale brain cell atlas data and knowledge, and inspire research in brain function and disorders; and (ii) ensure research rigor and data reproducibility by making the data Findable, Accessible, Interoperable, and Reusable (FAIR), and the process transparent. This is a renewal that will continue the funding for a 2-year period. Applications are not being solicited at this time. Notice is being provided to allow eligible applicants sufficient time to develop meaningful collaborations and responsive projects. Applications are expected to collaborate with the broader research community to analyze and interpret all existing brain cell census/atlas data to enhance statistical power, ensure research rigor and data reproducibility, and foster the formation of a brain cell atlas ecosystem by leveraging recent Artificial Intelligence/Machine Learning (AI/ML) advancements.</p>

NIMH - National Institute of Mental Health

To take advantage of recent and ongoing advances in intensive and large-scale computational methods and to preserve the scientific data created by publicly funded research projects, archives for sharing data must be created, as well as standards for specifying, identifying, and annotating deposited data. The value of an interest in such archives among researchers can be greatly increased by adding to them an active computational capability and framework of analysis and search tools that support further analysis as well as larger-scale meta-analysis and large-scale data mining. OpenNeuro.org, founded as a repository for functional magnetic resonance imaging (fMRI) data, is such an archive. We have built a web portal, NEMAR, to OpenNeuro data for human electrophysiology data (EEG and MEG) and for intracranial (iEEG) data recorded from clinical patients during planning for brain surgery or other therapies – we here refer to these as neuroelectromagnetic (NEM) data. NEMAR, maintained at the San Diego Supercomputer Center, acts as a portal to NEM data shared publicly via the OpenNeuro data archive. Upon receipt by OpenNeuro, NEM data are copied to NEMAR and made available for processing without charge on the ACCESS high-performance computing resources of the San Diego Supercomputer Center (SDSC) via the Neuroscience Gateway (NSG) project. NEMAR offers a search engine for NEM data whose results can be inspected in detail from a web browser, including visualizations of data from each subject plus a number of data activity measures and quality estimates. A forum for each dataset records visitors’ comments and lists papers citing the data. Next, we will build large, multimodal foundational deep neural network models allowing users to explore relationships between NEM signal brain dynamics, experience, and behavior.

National Institutes of Health

<p>The National Institute of Mental Health (NIMH), with other NIH Institutes and Centers (ICs), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications to develop web-accessible data archives to capture, store, and curate data related to the Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative activities. The data archives teams will work with the research community to incorporate software tools that enable users to analyze and visualize the data, and to use appropriate standards to describe the data. A goal of this program is to advance research by creating a data archive that meets appropriate standards and provides summary information which is broadly available and accessible to the scientific community furthering research. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the R24 activity code. Applications to this NOFO must propose the development of archives that support rigorous data sharing, analysis, and collaboration across sub-domains while enabling future linkage into a broader data ecosystem.</p>

National Institutes of Health

The National Institute of Mental Health (NIMH), with other NIH Institutes and Centers (ICs), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications to develop web-accessible data archives to capture, store, and curate data related to the Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative activities. The data archives teams will work with the research community to incorporate software tools that enable users to analyze and visualize the data, and to use appropriate standards to describe the data. A goal of this program is to advance research by creating a data archive that meets appropriate standards and provides summary information which is broadly available and accessible to the scientific community furthering research. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the R24 activity code. Applications to this NOFO must propose the development of archives that support rigorous data sharing, analysis, and collaboration across sub-domains while enabling future linkage into a broader data ecosystem.

NIMH - National Institute of Mental Health

The brain’s reward system comprises a set of interconnected regions that jointly direct goal-oriented behavior and underlie numerous pathologies. In order to understand how this system promotes behavioral outcomes, it is essential to characterize how neural information propagates among multiple brain structures and cell populations in the reward network, and how this leads ultimately to actions. Here we propose to use cutting-edge functional magnetic resonance imaging (fMRI) techniques to study integrated input/output relationships between brain re- gions involved in reward-related tasks. The centerpiece of our approach is a novel genetically encoded sensor for fMRI, called NOSTIC, that permits noninvasive functional imaging of discrete neural circuit components at a population level; the NOSTIC probe can be applied using a retrogradely transported virus to enable selective functional imaging of afferent input to any targeted region of the brain. We will use NOSTIC-based circuit-specific fMRI, in combination with complementary anatomical and physiological measurements, to dissect the propaga- tion of neural information during rewarding stimulation, reward-based classical conditioning, and closed-loop rewarding self-stimulation. Experimental data will be used to construct network-based models of reward system function and address fundamental hypotheses about information flow between brain regions, the origin of reward prediction signals, the basis of reward-induced plasticity, and the relationship between individual behavior and defined neural circuit components. Our agenda consists of three aims: In Aim 1 we will use the NOSTIC tech- nology to examine how functional inputs from across the brain converge on three key structures, the nucleus accumbens (NAc), ventral tegmental area (VTA), and prefrontal cortex (PFC), during rewarding stimulation in rats. Results will define for the first time the broad topographies of information flow among multiple brain regions during rewarding stimulation, dissecting inputs from functionally and neurochemically distinct brain regions and testing the hypothesis that these inputs combine in approximately linear fashion to produce regional activity. In Aim 2, we will apply NOSTIC to examine circuit-level bases of brain-wide plasticity during paradigmatic classical conditioning paradigms, addressing key questions about the origins of reward prediction error signals in the brain at a comprehensive spatial scale. These studies will be performed in complementary awake rat and mouse preparations implemented in two laboratories, serving to disseminate NOSTIC technology as well as apply it. Then in Aim 3, we will introduce a cell type-specific application of NOSTIC that enables separate excitatory and inhibitory contributions to reward circuit dynamics to be measured and interpreted in the experimental paradigms of Aims 1 and 2. Collectively, these experiments will provide a first-of-their-kind spatially comprehensive dissec- tion of neural circuit mechanisms involved in diverse reward-related brain functions.

Substance Abuse and Mental Health Services Admin

The purpose of this program is to support organizations in mobilizing and connecting community resources to increase access to long-term recovery support for people with substance use disorders (SUD) and co-occurring substance use and mental disorders (COD). IMPORTANT NOTE: SAMHSA will accept and review only the first 70 complete, successfully submitted, and high-quality applications received via eRA. Once this threshold is met, the submission portal will close, and no further applications will be considered.

Substance Abuse and Mental Health Services Admin

Building Communities of Recovery

National Institutes of Health

-Purpose. This Funding Opportunity Announcement (FOA) is intended to encourage the development of collaborative partnerships between scientists who study basic behavioral processes and those who study the etiology, diagnosis, treatment, and prevention of mental and behavioral disorders (including drug abuse and addiction) and the delivery of services to those suffering from those disorders. The National Institute of Mental Health (NIMH) and the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), are issuing this FOA as part of a major, long-term commitment to (a) encourage the systematic translation of basic behavioral theory, methods, and findings into research designed to reduce the burden of mental illness and behavioral disorders (including drug abuse and addiction) and (b) encourage basic behavioral scientists to seek a further understanding of behavioral processes through an exploration of how those processes are altered by mental and behavioral disorders. This FOA was developed in response to a report written by the National Advisory Mental Health Council's Behavioral Science Workgroup, entitled "Translating Behavioral Science into Action," http://www.nimh.nih.gov/tbsia/tbsiatoc.cfm. -Mechanism of Support. This FOA will use the NIH Research Project Grant (R01) award mechanism and runs in parallel with FOAs of identical scientific scope, PAR-06-355 and PAR-06-357, that solicit applications under the Exploratory/Developmental (R21) and the Resource-Related Research Projects (R24) grant mechanisms, respectively. Collaborative R01 grant applications are also solicited (See FOA PA-07-092, Collaborative R01s for Clinical and Services Studies of Mental Disorders, AIDS, and Alcohol Use Disorders (R01) for additional information on the Collaborative R01 grant mechanism.

National Institutes of Health

- This Funding Opportunity Announcement (FOA) is intended to encourage the development of translational research partnerships between scientists who study basic behavioral processes and those who study the etiology, diagnosis, treatment, and prevention of mental and behavioral disorders (including alcohol and drug use disorders) and the delivery of services to those suffering from those disorders. NIMH, NIDA, and NIAAA are issuing this FOA as part of a major, long-term commitment to (a) encourage the systematic translation of basic behavioral theory, methods, and findings into research designed to reduce the burden of mental illness and behavioral disorders, and (b) encourage basic behavioral scientists to seek a further understanding of behavioral processes through an exploration of how those processes are altered by mental and behavioral alcohol and drug use disorders. -The total amount awarded and the number of awards will depend upon the number, scientific merit, overall quality, duration, and costs of the applications received, as well as on the funds available at the participating NIH Institutes/Centers.-This FOA will utilize the R21 mechanism, and runs in parallel with a FOA of identical scientific scope that solicits applications under the NIH Resource-Related Research Project Grant (R24) award mechanism.-The total project period for an application submitted in response to this funding opportunity may not exceed two years. Direct costs are limited to $275,000 over an R21 two-year period, with no more than $200,000 in direct costs allowed in any single year.-Eligible organizations: Domestic, for-profit organizations, non-profit organizations, public or private institutions, such as universities, colleges, hospitals, and laboratories, units of State government, units of local government, eligible agencies of the Federal government, community-based organizations, Indian/Native American Tribal Government (Federally Recognized); Indian/Native American Tribal Government (Other than Federally Recognized); and Indian/Native American Tribally Designated Organization.-Eligible Project Director/Principal Investigators (PD/PIs): Individuals with the skills, knowledge, and resources necessary to carry out the proposed research are invited to work with their institution to develop an application for support. Individuals from underrepresented racial and ethnic groups as well as individuals with disabilities are always encouraged to apply for NIH support.-Applicants may submit more than one application, provided they are scientifically distinct.-All investigator-initiated exploratory/developmental grant applications described in this announcement will be assigned to Institutes and Centers (ICs) according to standard Public Health Service (PHS) referral guidelines and specific program interests.

National Institutes of Health

- The purpose of this Funding Opportunity Announcement (FOA) is to encourage the development of translational research partnerships between scientists who study basic behavioral processes and those who study the etiology, diagnosis, treatment, and prevention of mental and behavioral disorders (including alcohol and drug use disorders) and the delivery of services to those suffering from those disorders. NIMH, NIDA, and NIAAA are issuing this FOA as part of a major, long-term commitment to (a) encourage the systematic translation of basic behavioral theory, methods, and findings into research designed to reduce the burden of mental illness and behavioral disorders, and (b) encourage basic behavioral scientists to seek a further understanding of behavioral processes through an exploration of how those processes are altered by mental and behavioral alcohol and drug use disorders. -The total amount awarded and the number of awards will depend upon the quality, duration, costs, as well as the number of applications received. Funding decisions will reflect the needs, priorities and mission of the funding IC(s).-This funding opportunity will use the R24 mechanism, and will be run in parallel with a funding opportunity announcement of identical scientific scope that will utilize the Exploratory/Developmental (R21) mechanism (PAR-06-355). -Eligible organizations include for-profit organizations, non-profit organizations, public or private institutions, such as universities, colleges, hospitals, and laboratories, units of State government, units of local government, eligible agencies of the Federal government, non-domestic institutions, domestic Institutions, faith-based or community-based organizations, Indian/Native American Tribal Government (Federally Recognized); Indian/Native American Tribal Government (Other than Federally Recognized); and Indian/Native American Tribally Designated Organization..-Any individual with the skills, knowledge, and resources necessary to carry out the proposed research is invited to work with their institution to develop an application for support.-Applicants may submit more than one application, provided they are scientifically distinct.-See Section IV.1 for application materials.-Telecommunications for the hearing impaired is available at: TTY 301-451-0088.-Initial merit review will be convened by the assigned institute

California Veterans Commission

State grants for veteran service programs in California including housing, employment, education, and mental health support.

CA Dept of Veterans Affairs

Grants supporting veteran service organizations providing housing, employment, and mental health services.

NIH

Significance to VA: Providing care to individuals with serious mental illness (SMI) is challenging, requiring ongoing monitoring, treatment adjustments, and coordination of various medical and social services. Rates of emergency service and hospital use are high due to unexpected social, medical, and mental health crises. A variety of stressors and poor adherence with treatment are common and can lead to rapid worsening in symptoms, job loss, homelessness, incarceration, or suicide. Clinician visits can be infrequent. Patient- clinician contact between visits is challenging and often nonexistent. As such, illness exacerbations usually occur with no clinician awareness in real time, leaving limited opportunity to provide services. This project studies, in Veterans with SMI and high risk for acute care, the effectiveness of an enhanced care coordination mobile intervention (CCM) that uses passive mobile data and support from peer coaches. We hypothesize that CCM will reduce the need for acute care services in comparison to usual care. For the large population of Veterans with SMI, we need efficient interventions that are capable of monitoring and quickly detecting worsening behaviors and illness, to inform care coordination, outreach, treatment, and services. This project responds to the VA Health Systems Research priority topics of Data Science and Systems Science, and to Mental and Behavioral Health. Innovation & Impact: The outcomes of this study inform whether and how to improve care with CCM. The use of passive mobile data to support improvements in behavior and care coordination in mental health is highly innovative, as is peer coaching for this purpose. If CCM is effective, it has the potential to improve routine practice and outcomes. Specific Aims: Among Veterans with SMI: 1. Engage Veterans and clinicians in co-design activities that adapt previously tested protocols and tools to guide implementation of enhanced care coordination with mobile (CCM intervention) that includes passive mobile monitoring of Veterans’ mental health status, technology and behavioral supports from peer coaches, and care coordination within a Behavioral Health Interdisciplinary Program (BHIP). 2. Determine the effectiveness of CCM on acute care use. Implement CCM using protocols and tools from Aim 1 and randomize high-risk patients with SMI to CCM or usual care for 9 months. 3. Evaluate implementation of CCM. 4. Conduct a budget impact analysis of CCM. Methodology: 1. Population: patients with SMI and high risk for acute care use. Intervention: enhanced care coordination within a VA BHIP program using passive mobile monitoring and supports from peer coaches Comparison: effectiveness trial with patient-level randomization to CCM or usual care for 9 months Outcome: reduction in use of urgent care services (emergency visits, hospitalization, or death) 2. Qualitative and quantitative methods Path to Translation/Implementation: The Office of Mental Health, and the Office of Connected Care are partners on this study and oversee issues addressed here for VA: mental health and virtual care. Both offices have provided their strong support and plan to use results from this study to inform delivery of services.

Catholic Charities Diocese of Cleveland

Supports social services, housing, mental health, and family stability programs in the eight-county Cleveland diocese.

NIMH - National Institute of Mental Health

Project Summary Neuropsychiatric disorders frequently fail to respond to first-line treatments, highlighting the urgent need for innovative therapeutic approaches targeting underlying neural mechanisms. A common feature across neuropsychiatric disorders is pathological expectation states, including both pathologically negative expectations (e.g., major depression: pessimistic future outlook, social anxiety: anticipated rejection, generalized anxiety: catastrophic forecasting) and positive expectations (e.g., gambling disorder: anticipation of unlikely wins, substance use disorder: overvaluation of drug rewards, bipolar mania: unrealistic optimism about risky behaviors). The proposed project will examine the causal role of frontal cortical circuits in generating and updating affective expectations. Leveraging cutting-edge neuromodulatory and high-density recording techniques, this research will determine how non-human primate orbitofrontal cortex (OFC) influences behavior through outcome expectation signals and how these signals can be modulated with precisely targeted electrical stimulation. The experimental approach centers on a novel behavioral paradigm that captures the dynamic nature of expectation-guided behavior in macaque monkeys. By monitoring continuous behavior following expectation violations, this paradigm provides unprecedented sensitivity to detect both the persistence of expectation bias and the temporal dynamics of behavioral updating. This investigation will: (1) Establish the causal relationship between OFC activity and expectation-driven behavior through temporally specific microstimulation; and (2) Elucidate the functional network dynamics between three interconnected cortical regions integral to expectation bias and error signaling—OFC, anterior insula, and anterior cingulate cortex— during expectation generation, violation detection, and behavioral adjustment processes. By simultaneously recording from multiple cortical regions with high-density electrode arrays while delivering targeted neuromodulation, this work will reveal how expectation and error signals propagate through frontal cortical networks and how this propagation can be influenced by exogenous stimulation. The basic and translational implications of this work are significant. From a basic science perspective, the proposed work will elucidate the network effects of targeted microstimulation and the causal contributions of OFC activity to motivated behavior. Translational significance lies in identifying specific neural circuit mechanisms that could be targeted to disrupt pathological expectation patterns in clinical populations. These findings will inform the development of next generation neuromodulatory therapies with enhanced spatial, temporal, and computational specificity for treating conditions characterized by persistent maladaptive expectations.

NCIPC - National Center for Injury Prevention and Control

The Family Violence Prevention and Services Act (FVPSA)-funded Promising Futures initiative strengthens organizational capacity among community agencies to support families impacted by intimate partner violence (IPV). This proposed study will evaluate the impact of adding training and technical assistance (TTA) in healing- centered systems integration (All In For Kids model, AIFK) on reducing child abuse and neglect (CAN), IPV, and parental mental health conditions. This proposal responds to the call for rigorous evaluation of community- level primary prevention approaches to prevent adverse childhood experiences (RFA-CE-25-025), specifically, existing primary prevention approaches that address community-level conditions and strengthen economic supports to families (Research Objective 3). Since 2016, Promising Futures, a project of Futures Without Violence (FUTURES, national non-profit violence prevention organization), has provided support to a network of IPV state coalitions, local community-based programs, and other child-serving systems on enhancing services for families impacted by IPV. Opportunity to drive systemic change is hampered by siloing of systems, few incentives for cross-sector collaboration, limited involvement of community members in designing solutions, and challenges in collating and using shared data and metrics to monitor progress. To address these challenges, All In For Kids (AIFK), also a project of FUTURES, focuses on healing-centered systems integration to design responsive healing and caring early childhood ecosystems across health, education, and community sectors. AIFK promotes systems-level changes to sustain services, policies, and practices that result in holistic well-being across generations including strengthening economic supports to families. The proposed study will evaluate addition of AIFK healing-centered systems-transformation TTA with existing Promising Futures sites as a primary prevention approach to prevent ACEs. The research team has expertise in cross-sector collaboration, implementation science, community-partnered evaluation, healing-centered engagement, and science of thriving. This team will lead evaluation of the effectiveness of adding systems integration training via the AIFK model with Promising Futures grantees compared to matched grantees receiving usual support on CAN, IPV, parent mental health conditions, child thriving, and connectivity of early childhood ecosystems (Aim 1). The team will document implementation processes using qualitative and quantitative methods (Aim 2). With site leads and community partners, the team will disseminate lessons learned about use of community-led systems design to envision ideal structures, implement cross-sector solutions with measurable results, and improve prevention of ACEs (Aim 3).