Tag: News Approved

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Astrocytes Preserve Memory Persistence Through Ankyrin-2 Protein in Mice

Although scientists have long studied how memories are formed in the brain, how certain memories persist over time for learning and cognitive function remains unclear. 

A new study published in Nature Communications titled, “Astrocytic ankyrin-2 enables memory persistence in the mouse hippocampus,” suggests that astrocytes play a critical role in long-term memory through the regulatory protein ankyrin-2 (Ank2). 

Removing Ank2 function led to significantly impaired memory in mice after after two weeks. Under normal conditions, these mice showed standard locomotion, sociability, and recent memory immediately after learning.  

Astrocytes lacking Ank2 formed significantly less physical contacts with nearby engram neurons, the specialized neurons for memory storage. Additionally, the maintenance of long-term potentiation (LTP) was impaired while normal synaptic transmission remained intact. The findings suggest that astrocytes stabilize the neural circuits required for preserving memories long after they are formed. 

On the molecular level, researchers found that Ank2 is required for brain-derived neurotrophic factor (BDNF) signaling through the astrocytic TrkB.T1 receptor and IP3R2-mediated calcium signaling. In the absence of Ank2, calcium signaling weakened, astrocytes failed to undergo normal structural remodeling, and showed reduced ability to maintain contacts with memory-encoding neurons. 

The researchers further demonstrated that hippocampal BDNF infusion normally strengthens long-term memory persistence, but this effect disappeared when astrocytic Ank2 was deleted, showing that Ank2 is essential for BDNF-dependent memory stabilization. 

To determine whether astrocytic BDNF signaling alone is sufficient to enhance memory, the team developed an optogenetic tool called Opto-T1. Activation of this pathway promoted astrocyte remodeling, maintained long-term potentiation, and significantly enhanced remote memory without affecting recent memory.  

“Our findings show that astrocytes are not passive support cells, but active regulators that determine how long memories last,” said Wuhyun Koh, PhD, senior research fellow at Institute for Basic Science (IBS) and corresponding author of the study. “By identifying Ank2 as a key regulator of astrocyte remodeling and BDNF signaling, we have uncovered a new mechanism that helps stabilize long-term memories and opens new avenues for understanding and potentially treating memory disorders.” 

The researchers indicate the study provides a new framework for understanding how astrocytes contribute to neurological diseases. 

The post Astrocytes Preserve Memory Persistence Through Ankyrin-2 Protein in Mice appeared first on GEN – Genetic Engineering and Biotechnology News.

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Power without limits: exploring emotional regulation, moral authority, and psychiatric overreach through the Wizarding World of Harry Potter

BackgroundPsychiatry has never had more tools to relieve psychological suffering. Psychopharmacology, neuromodulation, early intervention, digital monitoring, and preventive approaches have expanded what clinicians can do. Yet this growing technical capacity also raises an uneasy question: when does care become control? Cultural narratives can offer spaces for examining such tensions, particularly when they dramatize power, vulnerability, suffering, and moral authority.AimThis narrative review uses the Wizarding World of Harry Potter as a conceptual lens to examine emotional regulation, moral authority, and psychiatric overreach, focusing on two contrasting figures: Lord Voldemort and Isidora Morganach.MethodsA theory-informed narrative review was conducted using a concept-focused analytic framework and structured conceptual synthesis. Literature was identified through focused searches in PubMed, PsycINFO, Scopus, and Google Scholar from database inception to June 2026, complemented by backward reference tracking. Sources covered Harry Potter scholarship, emotional regulation, psychological flexibility, narcissism and Dark Triad traits, medicalization, overdiagnosis, clinical ethics, and narrative medicine. To improve transparency, the synthesis distinguished direct literature on the Wizarding World from indirect psychiatric, psychological, ethical, and medical humanities scholarship used for conceptual interpretation.ResultsTwo pathways to psychiatric overreach and an intermediate zone of proportionate care were identified. The first, represented by Voldemort, involves destructive domination, emotional suppression, denial of vulnerability, instrumental use of others, and coercive authority. The second, represented by Isidora Morganach, involves hyper-compassionate control, intolerance of suffering, elimination of negative affect, moral certainty, and paternalistic intervention. Between these extremes, the intermediate zone emphasizes emotional integration, psychological flexibility, shared decision-making, contextual judgment, ethical proportionality, and clinical humility. Although one pathway is cruel and the other compassionate, both illustrate power exercised without sufficient emotional integration or ethical restraint.ConclusionBy exploring psychiatric questions through the Wizarding World, this review highlights how narrative frameworks can clarify the ethical boundaries of intervention. The central lesson is not that intervention is dangerous, but that intervention must remain proportionate, reflective, and ethically bounded. Psychiatry’s task is not to abolish all distress, but to relieve suffering while preserving autonomy, meaning, and human vulnerability.
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Memory-focused therapy: an integrated intervention to reduce trauma symptoms, maladaptive cognitive processes, and emotional distress in Afghan youth

BackgroundAfghan youth continue to face chronic war-related trauma, terrorist violence, and severe disruptions to education and social support systems, resulting in high rates of posttraumatic stress disorder (PTSD), depression, anxiety, and hopelessness. There is a critical need for culturally responsive, low-intensity, and feasible psychological interventions that can be delivered in low-resource and unstable settings.ObjectiveThis study conducted a preliminary evaluation of the efficacy, acceptability, and mechanisms of change associated with Memory-Focused Therapy (MFT), an integrative intervention targeting autobiographical memory processing, acceptance-based regulation, and future self-construction among youth affected by the Kaaj Education Center attack in Kabul, Afghanistan.MethodsA single-group repeated-measures design was used with 26 participants assessed at baseline, post-intervention, and three-month follow-up. Standardized measures of PTSD, depression, anxiety, stress, cognitive avoidance, cognitive fusion, resilience, and posttraumatic growth were administered. MFT was delivered in 12 structured group sessions. Additionally, qualitative data from semi-structured interviews and therapist field notes were analyzed using thematic analysis.ResultsQuantitative analyses showed significant reductions in PTSD symptoms, depression, anxiety, stress, cognitive avoidance, and cognitive fusion from baseline to post-intervention, alongside significant increases in posttraumatic growth. Several of these improvements were maintained at follow-up. Qualitative findings reflected four overarching themes: (1) facilitator experiences and implementation challenges in high-risk contexts, (2) improvements in cognitive and emotional processing, (3) growth in meaning, relationships, values, and future orientation, and (4) exposure to traumatic memories and reduced avoidance.ConclusionFindings provide preliminary evidence that MFT is a feasible, acceptable, and potentially effective intervention for trauma-affected Afghan youth. By integrating trauma memory processing, present-moment emotional regulation, and future-oriented meaning-making, MFT appears to support improvements in psychological coherence, self-continuity, and resilience. Further controlled and longitudinal studies are needed to confirm these effects and examine underlying mechanisms.
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Parental broad autism phenotype traits and executive function in families of children with autism spectrum disorder

BackgroundParents of children with autism spectrum disorder (ASD) frequently exhibit subclinical Broad Autism Phenotype (BAP) traits, though their relationship with executive function (EF) remains underexplored. This study investigated associations between parental BAP traits and their EF performance.MethodsThe Broad Autism Phenotype Questionnaire (BAPQ) was used to assess the BAP traits in parents of children with ASD and parents of healthy children. Among them 20 of the high-BAP ASD parents with a total BAPQ score exceeding 3.55 and 20 of the parents of typically developing children completed executive function tests. The researchers utilized the flanker, 2-back, and Task-switching paradigm to examine their EF. Correlations analysis was used to analyze BAP-EF relationships.ResultsThe self-reported questionnaires indicated that parents of children with ASD had significantly higher BAPQ scores than non-ASD’s parents, with fathers scoring 41.21% versus 15% (χ2 = 31.628, p < 0.01), and mothers 26.25% versus 8.37% (χ2 = 25.764, p < 0.01). Parents of ASD children exhibited significantly prolonged reaction times on the Flanker task (528.95 ± 78.90 ms vs. 426.80 ± 18.40 ms, T = 15.639, p<0.01), with BAPQ total scores positively correlating with slower responses (R² = 0.2325, p = 0.0313). Paradoxically, they demonstrated accelerated 2-Back incongruent reaction times (537.60 ± 80.21 ms vs. 665.70 ± 137.17 ms, T = 6.715, p=0.001) but reduced accuracy (0.947 ± 0.037 vs. 0.983 ± 0.016, T = 16.875, p<0.01), where BAPQ again correlated with reaction times (R² = 0.2318, p = 0.0316). Crucially, these associations were absent in controls, and BAPQ scores showed no relationship with task accuracy in either group.ConclusionsBAP traits are associated with attentional control challenges (indexed by Flanker Task) and a maladaptive speed-accuracy tradeoffs during working memory demands.
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Millions of People in Canada Are Finding AI-Enabled Support for Mental Health Effective Amid Ongoing Questions Around Trust.

(OTTAWA) July 8, 2026 — New polling shows approximately six million people in Canada used AI-enabled tools for mental health support in the past year and most find them effective. Today, the Mental Health Commission of Canada (the Commission), in partnership with Mental Health Research Canada (MHRC) and Pollara Strategic Insights, releases the first nationally representative data on how people in Canada engage with digitally supported mental health tools, including AI and virtual care, across every province and demographic.

Quick Facts:

  • 1 in 7 people in Canada used AI mental health tools in the past year
  • Three out of four who used AI and virtual mental health services found them effective for their well-being
  • Only 14 % trust AI tools, just 2% trust them completely
  • 40 % of AI users said they were more likely to seek professional care
  • Nearly half (45%) who accessed mental health care did so virtually, in whole or in part

WHY IT MATTERS

People in Canada are turning to AI as a convenient way to access mental health support.  AI-enabled tools may offer greater convenience and accessibility. Among those surveyed, AI is being used because it is:

  • Free or low-cost; 46% of AI users cite this as the reason they use it during a time when financial stress is itself a cause for anxiety.
  • Always available; 44% of AI users cite 24/7 access.
  • Immediate and convenient; it can be used from anywhere without travelling or waiting for an appointment. For someone in rural Canada, it saves time and travel costs.
  • Seemingly private; 39 % of AI service users cite private, anonymous support as a reason for use, while privacy and data protection remain key public concerns.

AI is most used for general well-being (42%), companionship (36%), and mild-to-moderate stress (36%), and 40% of AI users said they were more likely to seek professional care.

WHO IS USING IT AND HOW MUCH DO THEY TRUST IT?

Use is higher among people in Canada under 35 (27%; 29% among men aged 25–34), newcomers to Canada (28%), racialized people in Canada (23%), and 2SLGBTQI+ communities (20%), populations that may experience greater barriers to traditional care.

Overall, trust remains low, particularly for AI-enabled tools, where only 2% of people in Canada trust them completely. People in Canada over 55 show the lowest adoption and trust.

VIRTUAL CARE: EFFECTIVE AND MORE TRUSTED BUT FALLS SHORT OF IN-PERSON SERVICES

45% of people in Canada who used mental health services in the past year did so virtually, with 75% reporting positive outcomes. However, nearly 1 in 3 prefer a hybrid model that combines virtual and in-person services. The data signals what people in Canada need: well-designed tools for safer digital mental health care that they can trust.

THE COMMISSION OFFERS GUIDANCE FOR THE DIGITAL MENTAL HEALTH ERA

The Commission is Canada’s trusted resource for safe digital mental health — assessing apps and tools, setting evidence-based standards, and leading the national conversation on guidance for AI in mental health and substance use health care.

As virtual services and AI-enabled tools continue to expand rapidly across the mental health landscape, there is a growing need for evidence-based insight into how people in Canada engage with, understand, and perceive them. The Commission partnered with MHRC to leverage their ongoing national polling initiative and provide timely insights into usage, attitudes, and concerns related to e-mental health and AI.

The polling is clear: people in Canada want to close the gap between availability and trust. The Commission is working with the Canadian Centre on Substance Use and Addiction and collaborators, provincial governments, technology developers, and health system partners to establish guidance for AI.

“Six million people in Canada have already used AI for mental health support and most found it convenient and effective for their well-being. It is critical that AI is safe and equitable to increase public trust and reduce harms.” – Lili-Anna Pereša, President and Chief Executive Officer, Mental Health Commission of Canada

“The people turning to digitally-supported mental health tools are often those facing some of the greatest barriers to care. Making sure these tools are safe, effective, evidence-based and human-centred is a matter of equity. Ongoing research is essential to understanding where they help and where safeguards are needed.”– Akela Peoples, Chief Executive Officer, Mental Health Research Canada

About Mental Health Commission of Canada
As an independent, not-for-profit with charitable status, the Commission collaborates with leading experts and organizations nationally and internationally, including with people with lived and living experience, to develop national guidelines, standards and strategies, promote innovation and best practices, reduce stigma, increase mental health literacy, and support all levels of government to improve mental health outcomes for everyone living in Canada.  The Commission is Canada’s trusted resource for digital mental health best practices with the e-Mental Health Strategy for Canada, app assessment, e-modules for e-mental health implementation, and AI guidance for mental health and substance use health.

About Mental Health Research Canada
As an independent national charity, MHRC works hard to enable a future where mental health in Canada is transformed using evidence, data and stakeholder engagement. We unite researchers, communities, and people with lived experience to bridge gaps in care through national population polling, rapid data reporting, and partnerships that inform policy to improve outcomes. Learn more at www.mhrc.ca

About the Polling
Conducted by Pollara Strategic Insights in partnership with Mental Health Research Canada and the Mental Health Commission of Canada, this national poll (n=3,519) is the first representative data on AI use for mental health in Canada. Full findings: https://mentalhealthcommission.ca/AI-polling-report

About the Funding
The views in this report solely represent the views of the Mental Health Commission of Canada. Production of this report is made possible through financial contribution from Health Canada.

Media Contact
Heather Bakken, Pendulum Group
email: heather@pendulumgroup.ca 
cell: 613-406-5432

The post Millions of People in Canada Are Finding AI-Enabled Support for Mental Health Effective Amid Ongoing Questions Around Trust. appeared first on Mental Health Commission of Canada.

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Loneliness From the Digital Mental Health Practitioners’ Perspective: Thematic Analysis of Semistructured Interviews

Background: Loneliness is a prevalent concern across the United Kingdom. While validated scales exist to quantify the severity of loneliness across populations, there remains a gap in understanding how loneliness manifests and is addressed within therapeutic practice. Given the associated stigma surrounding loneliness, practitioner perspectives offer crucial insights into how clients express loneliness within digital therapeutic environments. These insights can inform more nuanced conceptualizations of loneliness. Objective: This study aimed to gather the practitioners’ perspectives on loneliness within a digital therapeutic context and were defined as follows: (1) understand how practitioners identify loneliness concerns, (2) identify how loneliness is elicited in digital mental health interventions, and (3) identify co-occurring themes (such as grief, shame, and social disconnection) that signal loneliness concerns in client communications within digital therapeutic environments. Methods: Semistructured interviews were conducted with 9 practitioners. Participants included specialists in grief counseling, lesbian, gay, bisexual, transgender, and queer or questioning plus support; and digital mental health therapists. Interview transcripts were analyzed using thematic analysis, using an inductive, data-driven approach to allow themes to emerge from participant accounts rather than fitting data to preexisting theoretical frameworks. Results: The following four themes were identified: (1) Conceptualizing Loneliness: practitioners distinguished between social contact and meaningful connection; (2) Contextual Causes: loneliness emerged from life transitions, stigmatized identities, and resource reduction (eg, youth services closures and social support); (3) Expressions and Language: clients rarely expressed loneliness directly, instead using proxy terms, with disclosure patterns varying by age; and (4) Mental Health Co-occurrence: severe mental health conditions created bidirectional cycles of loneliness, exacerbated by symptoms of mental health difficulties. Practitioners reported that many clients experienced loneliness concerns, yet direct disclosure was absent across all participants’ experiences. Conclusions: Practitioners identified multiple stigmatizing experiences as contextual drivers of loneliness, particularly demonstrating how loneliness emerges not only from individual experiences but from broader patterns of social exclusion and marginalization. For therapeutic practice, these insights suggest that practitioners can use awareness of stigmatizing experiences as potential indicators when assessing loneliness risk. The presence of contextual patterns was consistent across practitioners’ experiences, providing a foundation for developing more targeted interventions to address both the emotional experience of loneliness and the underlying social drivers.
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Evaluating Wearable Devices for Remote Monitoring in Psychosis: Pilot Study Nested Within the CONNECT Cohort Study

Background: Digital remote monitoring technologies, including smartphones and wearables, offer promising avenues for early detection of psychosis relapse. However, selecting devices that are acceptable to participants and produce high-quality data remains challenging. Objective: The aim of this nested pilot study was to assess the acceptability and data quality of 3 commercially available wearable devices in people with psychosis recruited to the CONNECT cohort study. Methods: Participants recruited to the CONNECT study before July 31, 2024, were included in the pilot study and selected 1 of 3 wearable devices: a Fitbit Charge 5, Samsung Galaxy Watch 5, or Apple Watch SE. Baseline demographics were compared between device groups. Acceptability of devices to participants was assessed through a Wearable Device Satisfaction Questionnaire after 3 months of use, with the proportion of positive responses to each question calculated and compared. Data completeness was also assessed by calculating the number (and percentage) of valid days of step count, heart rate, and sleep data, and comparing between groups. Data quality was assessed through summarizing the amount of troubleshooting required, additional metrics available from the wearables, and continuity of data completeness by calculating the proportion of participants with at least 3 days of heart rate data per week for the first 20 weeks of follow-up. Predefined criteria were used to determine the next steps for the wider CONNECT study: if one device was superior, this would be selected; if none were found to be superior and the Fitbit was found to be noninferior, then Fitbit would be retained. Results: Of the first 107 participants recruited to CONNECT, 105 were included in the pilot study evaluation. The Samsung Galaxy Watch was selected most frequently by participants (46/105, 43.8%), followed by the Apple Watch (27/105, 25.7%), and Fitbit Charge (23/105, 21.9%). Differences in participant demographics were observed across device groups. Self-reported acceptability after use did not differ substantially between devices. However, in terms of data completeness, the median proportion of valid heart rate data days was significantly lower for Samsung Galaxy (median 31.2%, IQR 8.5%-46.0%) compared to Fitbit (median 80.1%, IQR 26.7%-95.0%; =.003) and Apple Watch (median 49.3%, IQR 21.5%-86.0%; =.02). There was no significant difference between Fitbit and Apple Watch. Similar patterns were observed for step count and sleep data. The Samsung Galaxy Watch required more frequent troubleshooting for data flow issues and lacked additional physiological metrics, available from the other devices. Conclusions: Due to comparatively lower data quality and technical performance, the Samsung Galaxy Watch was discontinued for use in the subsequent phase of the CONNECT study. The study highlights the importance of incorporating nested evaluations of devices in long-term research.
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AI Reveals Hidden Brain Lesions in Multiple Sclerosis MRI

It has long been known that brain gray matter plays a key role in multiple sclerosis (MS) disease progression and cognitive impairment, but because magnetic resonance imaging (MRI) has only been able to detect lesions in white matter, neither clinicians nor researchers have had a way to detect or monitor gray matter (cortical) lesions. And while many new drugs developed in the past decade can slow disease progression significantly, they primarily work on reducing white matter lesions.

A University at Buffalo (UB)-led team now reports that it has found a way to use artificial intelligence to reveal these otherwise invisible cortical lesions by reviewing existing MRI scans. The researchers say the significance of finally being able to see what has been known as one of the most important indicators in MS disease progression cannot be overstated.

“Detecting previously invisible cortical lesions on conventional legacy MRI scans has major implications for MS research and clinical care,” commented Robert Zivadinov, MD, PhD, SUNY distinguished professor in the Department of Neurology and director of the Buffalo Neuroimaging Analysis Center (BNAC) in the Jacobs School of Medicine and Biomedical Sciences at UB. “The ability to see for the first time these previously hidden indicators of MS disease progression, including cognitive impairment and disability, is an important advance.”

Added Michael G. Dwyer, PhD, associate professor of neurology and biomedical informatics in the Jacobs School and a researcher with BNAC, “What this collaboration has been able to accomplish is a real success story for applying AI in the medical arena. We now have access to these incredibly useful data on MRI scans that were there but you couldn’t see them without using AI to pull them out. The computational methods are finally at the point where we can do this.”

Zivadinov is senior author, Dwyer first and corresponding author of the team’s published paper in Communications Medicine, titled “Quantifying cortical lesions in multiple sclerosis MRI datasets using multi-contrast post- processing and deep learning.”

“Multiple sclerosis (MS) affects both the inner, connectivity-oriented portions of the brain (white matter) and the outer layer of the brain (the cortex),” the authors explained. While the involvement of cortical lesions in MS has been known almost since the identification of MS in the late 19th century, they weren’t included on diagnostic criteria until the 21st century. And even when they were included, it was noted that their use would be greatly limited due to the current capabilities of clinical MRI.

“Historically, research and clinical care in MS have focused on white matter, where focal demyelinating lesions are a hallmark of the disease,” they continued. And although there are now many therapies that can almost completely halt the incidence of new white-matter lesions in individuals with MS, they haven’t had the same impact on clinical progression, the team continued.

Over more recent decades it’s been found that gray matter is affected from the earliest MS disease stages, and it’s become evident that gray matter pathology is more than secondary to white matter damage. “From a clinical perspective, cortical lesions are strongly associated with clinical disability and cognitive impairment,” the authors stated. “They may also have more prognostic value than white matter lesions for disability and disease course.”

There’s an urgent need for in vivo imaging methods that can show gray matter lesions, they stressed. Dwyer added, “We have all been very frustrated, knowing that these cortical lesions were there but not being able to see them. There’s a lot of ongoing damage that continues to happen in MS that you won’t see with conventional MRI, but that histopathologists have been clearly demonstrating for decades on postmortem tissue.”

For their newly reported study the team applied advanced image processing techniques, including artificial intelligence, to standard MRI scans from a large MS clinical trial. “Recently, several post-processing methods, including synthetic contrasts and artificial intelligence (AI)-based approaches, have shown potential for enhancing cortical lesion detection on conventional MRI data,” they noted. “These methods have the potential to reanalyze existing clinical-trial data to answer key mechanistic questions about both MS development and about treatment effects.”

The AI approaches the researchers used, building on work from co-authors from the Netherlands, were designed to extrapolate vital information from the relationships between multiple images that can’t be seen on a single image.

The researchers combined multiple image-processing techniques, including a new one they developed called MMCLE, or multimodal cortical lesion enhancement. They then applied these techniques to MRI scans from the large, phase III FDA regulatory ORATORIO clinical trial, a study of the MS drug Ocrelizumab that included more than 700 participants.

They found that while individual images of a patient’s brain revealed mostly white matter lesions, once they applied the AI-based image processing methods to multiple different contrast images, they were able to see anywhere from 15 to 20 cortical lesions for each patient, more than 11,000 for the whole dataset. “We confirmed that cortical lesions can be clearly visualized and quantified with these methods,” they stated. “Using deep learning, we also confirmed that the simultaneous use of multiple contrasts improves quantification.”

Dwyer explained further, “If you look on the original scans, you generally can’t see the cortical lesions, but generative AI is very powerful because it can look between the scans and detect tiny differences between them. Because it sees those minor discrepancies, AI can reveal that there’s something going wrong there, that the tissue is not behaving like healthy tissue. The trained models can view multiple MRI images together and synthesize them and synthesize what had been missing.”

Zivadinov added “This work, which has revealed that there is so much invisible pathology in the brain, will have tremendous impact for reviewing data from past clinical trials and also for those going forward,” he says.

The post AI Reveals Hidden Brain Lesions in Multiple Sclerosis MRI appeared first on GEN – Genetic Engineering and Biotechnology News.

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STAT+: Compass says depression drug has long-lasting benefits

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Vertex makes its largest-ever deal 

Vertex said yesterday it will spend $10 billion to acquire Crinetics Pharmaceuticals, a biotech developing drugs for rare endocrine disorders.

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