The Conversation: In 2007, researchers in the Netherlands scanned the brains of 2,000 people aged 45 and over who were going about their ordinary lives. Seven in every 100 had signs of a stroke they never knew they’d had. Nearly two in 100 had a small bulge in a blood vessel, and a similar number had a tumour that appeared to be benign, meaning it was not cancerous

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In 2007, researchers in the Netherlands scanned the brains of 2,000 people aged 45 and over who were going about their ordinary lives. Seven in every 100 had signs of a stroke they never knew they’d had. Nearly two in 100 had a small bulge in a blood vessel, and a similar number had a tumour that appeared to be benign, meaning it was not cancerous.

Yet only two of those 2,000 people reported symptoms that could be linked to what the brain scanner found. Both had hearing loss.

That finding sits at the heart of how brain scans are used in medicine. A scan shows what the brain looks like but it cannot, on its own, tell you why someone is unwell. Joining those two things up is the hard part, and it is still mostly done by people rather than machines.

The most detailed pictures of the brain’s structure often come from MRI, which uses a powerful magnet and radio waves rather than X-rays. It can reveal a tumour, bleeding, the scar left by a stroke or head injury, or a patch of brain that didn’t develop quite as it should have before birth. Some of these changes are smaller than a grain of rice.

What a standard MRI can’t show is how the brain’s electrical activity changes from moment to moment. Migraine and many types of epilepsy, for example, often leave the brain looking completely normal. A clear scan is reassuring, but it doesn’t mean nothing is wrong.

Specialist interpretation

How much a scan shows also depends on how it is done and who reads it. In my own field, epilepsy, a German study of 123 people being assessed for epilepsy surgery found that routine scans reported by radiologists without specialist epilepsy experience spotted only 39% of the abnormalities linked to people’s seizures. Scans done using an epilepsy-specific approach and read by specialists found 91%. Scarring in the hippocampus, a seahorse-shaped structure deep in the brain that can be a source of seizures, was missed in 86% of the routine reports.

Many scan reports use the word “lesion”, and people reading their own results online often find it frightening. On its own, it shouldn’t be. Lesion is a deliberately vague word that simply means an area looking different from the tissue around it.

That could be a tumour, but it could equally be an old scar or a pocket of fluid. Another common finding is small bright spots in the brain’s wiring, known as white matter lesions. In an Australian study of healthy people in their 40s, about half had at least one.

Several rows of black-and-white MRI scans showing horizontal cross-sections of a human brain, with different areas of brain tissue visible in shades of grey and white.
MRI scans can reveal small abnormalities in the brain’s white matter, which often cause no obvious symptoms but can sometimes indicate underlying health problems. Tamer A Soliman/Shutterstock

They become more common with age, and small ones often cause no obvious problems. But some are associated with changes in the brain’s small blood vessels and can be a reason to check risk factors such as high blood pressure.

So a lesion is a description, not a diagnosis. It tells a doctor where to look, not what they have found.

Location and context

So how do specialists decide whether something on a scan actually explains someone’s symptoms? The first question is location. Different parts of the brain do different jobs. A scar in the area that handles vision fits with someone whose seizures start with flashing lights. The same scar in someone with tension headaches is less likely to explain their symptoms.

The second question is whether other evidence points the same way. Doctors listen closely to how the symptoms begin and unfold. They may also record the brain’s electrical activity with small sensors on the scalp or repeat the scan months later to see whether anything has changed. Something that grows is treated very differently from something that has sat still for years.

In epilepsy surgery, this matching is done formally. Neurologists, radiologists, neurosurgeons and psychologists meet to ask whether the scan, the symptoms and the electrical recordings all point to the same part of the brain. When they agree, removing that small area of tissue can stop seizures altogether in some people. When they don’t, the team may place electrodes inside the brain to pin down the source before considering an operation.

The process also works in reverse. A team may decide that a striking-looking abnormality is just a bystander and leave it alone, sparing someone an operation that would not have helped.

That is why a scan report is best read as one piece of evidence rather than a verdict. The picture matters, but only once it has been matched to the person it came from.

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DW: Why a growing number of children are opting out of Denmark’s schools

Gunnar Köhne21 hours ago21 hours ago

Around 50,000 children in Denmark aren’t attending school. Their parents are calling for new, alternative approaches to education. Official support is lacking, particularly for children with special needs.

https://p.dw.com/p/5ObQg

A growing number of families in Denmarkare taking children with special needs out of regular schools, saying the system fails to accommodate neurodivergent students. The report follows 12-year-old Olav, who has autism and attention difficulties and attends school only a few hours a week. Parents have created support networks such as Sanctuary Clubs, where children can learn and socialize in less stressful environments. While families call for more flexible education and better inclusion, policymakers cite limited resources and concerns over falling academic performance. Researchers argue that Denmark’s school system must adapt to meet the needs of today’s children.

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GZERO Media – Ian Bremmer: What recent elections say about voter frustration

https://www.gzeromedia.com/video/ask-ian/what-recent-elections-say-about-voter-frustration

Ian Bremmer

October 28, 2026

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In this ‘ask ian,’ Ian Bremmer says recent elections around the world point to a common trend: voters are increasingly unhappy with their governments as inflation, security concerns and economic pressures shape political outcomes.

Ian cautions against seeing recent results as a broad victory for either the left or the right. Instead, “a lot of people continue to be really angry with their existing governments,” with high turnout reflecting growing interest in politics. In Brazil, Ian says affordability and concerns over social benefits helped drive Lula’s victory, while in Serbia, young voters rallied against a government they saw as unaccountable.

Ian argues that this sentiment is spreading across countries, including Europe and Israel, and could be reflected in upcoming US midterm elections.

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The Japan Times: A suspected hack of Binance, the world’s largest crypto exchange….

The Japan Times

@japantimes

·

A suspected hack of Binance, the world’s largest crypto exchange, has prompted it to freeze more than $2.5 billion in assets and sent the price of digital tokens tumbling.

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Steve Hanke on X: As the EU prepares for yet another aid package to keep Ukraine on life support, EU auditors warn that EU debt could hit €1 TRILLION by the end of 2027.

THE NATO-UKRAINE WAR AGAINST RUSSIA IS BANKRUPTING EUROPE.

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Netanyahu Lost. His Coalition Lost.Going from 36 to 26 is not a victory; and for his coalition from 68 to 53 is a defeat.

@SamiAlArian

Netanyahu Lost. His Coalition Lost.
Going from 36 to 26 is not a victory; and for his coalition from 68 to 53 is a defeat.

Don’t be fooled by claims that Netanyahu’s Likud emerged as the largest party. The real story of the Zionist Regime’s election is in the numbers.
Netanyahu’s Likud, including his merger with Gideon Sa’ar’s New Hope, fell from 36 to 26 seats, a staggering 28% loss.

Netanyahu’s right-wing and religious bloc fell from 68 to 53 seats, a loss of 15 seats, or 22%. It is now eight seats short of the 61 needed to govern.

The losers could hardly be clearer.

Netanyahu portrayed himself as the indispensable leader of the Zionist regime. Trump boasted that his support had saved Netanyahu. Yet Netanyahu lost a quarter of his parliamentary strength, while his political bloc lost more than one-fifth of its seats.

The bottom line: Netanyahu and his coalition were decisively defeated at the ballot box. Whether his opponents can translate that defeat into an alternative government is another question entirely.

Being the largest party does not mean winning the election. Losing your parliamentary majority is a defeat, regardless of how you spin it.

Netanyahu is a war criminal and can never be rehabilitated.

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Neuroscience News: Using AI as your therapist

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47% of adults in severe psychological distress use generative AI for emotional support. Credit: Neuroscience News

Nearly Half of Distressed Adults Use AI for Therapy

FeaturedNeurosciencePsychology

·October 28, 2026

Summary:

A survey study led by researchers at Tel-Hai University of Kiryat Shmona reveals that almost one in three Israeli adults using general-purpose generative AI tools rely on platforms like ChatGPT and Gemini for emotional support, coping advice, or mental health assistance. Published in Cyberpsychology, Behavior, and Social Networking, the investigation found that among individuals experiencing severe psychological distress, the adoption rate surged to 47%. The findings highlight a growing trend of informal, AI-mediated help-seeking, raising critical questions regarding clinical safety, crisis protocols, and the regulation of consumer AI systems.

Key Facts:

  • High Prevalence in Severe Distress: While 29.3% of surveyed generative AI users reported seeking emotional or mental health support from AI platforms at least once in the past year, that rate climbed to 47% among those reporting severe psychological distress.
  • Demographic Patterns: Severe psychological distress emerged as the strongest predictor of turning to AI for emotional guidance, with younger adults and women significantly more likely to utilize conversational models for mental health support.
  • Absence of Clinical Mandates: General-purpose commercial AI platforms lack formal psychiatric validation, clinical mandates, and standardized safety protocols to manage acute psychological crises or self-harm risks.

Source: Tel-Hai University of Kiryat Shmona

As generative artificial intelligence tools become embedded in daily workflows, millions of users are discovering that large language models offer far more than text generation and software coding: they provide a conversational partner that is always available, endlessly patient, and completely nonjudgmental.

While tech developers build these general-purpose chatbots for informational, educational, and creative tasks, individuals are increasingly co-opting them for psychological care.

Now, an empirical investigation led by Dr. Dorit Hadar Shoval of the School of Psychology at Tel-Hai University of Kiryat Shmona in the Galilee, in collaboration with Elad Refoua from Bar-Ilan University, documents the scale of this digital help-seeking shift.

Publishing in the peer-reviewed journal Cyberpsychology, Behavior, and Social Networking, the researchers examined how psychological distress and interpersonal attachment styles correlate with utilizing consumer chatbots for mental health guidance.

Psychological Distress Drives Chatbot Consultation

The research team surveyed 584 Israeli adults, aged 18 to 70, who reported using a consumer generative AI tool—such as OpenAI’s ChatGPT or Google’s Gemini—at least once during the previous 12 months.

The survey revealed that nearly a third of all respondents (29.3%) turned to generative AI for coping advice, emotional reassurance, or mental health-related assistance. Among individuals suffering from severe psychological distress, however, the proportion escalated to nearly one in two (47%).

Statistical modeling confirmed that the intensity of psychological distress was the single strongest predictor of seeking solace from an algorithm. In addition, younger users and female respondents were significantly more likely to confide in AI platforms regarding personal and psychological struggles.

“Our findings show that many people, particularly those experiencing significant distress, are turning to generative AI systems for emotional support and guidance,” explained Dr. Hadar Shoval. “These tools offer immediate, accessible, and nonjudgmental interactions, but they were not designed to function as mental health providers. The high level of use among distressed individuals highlights the urgent need to better understand both the possible benefits and the potential risks of relying on AI during periods of emotional vulnerability.”

The researchers also analyzed attachment styles, observing that adults with elevated attachment anxiety were initially more inclined to consult AI for emotional reassurance. However, once baseline psychological distress was integrated into the regression models, attachment anxiety ceased to be an independent predictor, suggesting that acute emotional suffering drives the immediate impulse to seek digital companionship.

The Unregulated Frontier of AI-Mediated Help-Seeking

The rapid adoption of conversational agents as informal therapeutic proxies highlights a glaring regulatory and clinical void.

Dedicated digital therapeutics and licensed teletherapy platforms are bound by strict medical device standards, patient confidentiality rules, and emergency escalations for suicidal ideation. In contrast, commercial consumer LLMs carry no clinical mandate. Because these platforms are trained primarily on broad internet text to produce statistically plausible and agreeable responses, their outputs may lack clinical validity, foster unhealthy emotional dependencies, or deliver inappropriate guidance during acute psychological crises.

The authors caution that their study surveyed an online panel of existing AI users rather than a randomized epidemiological cross-section of the general population, and the data do not evaluate whether these AI interactions proved therapeutic, neutral, or harmful over time. Furthermore, the findings do not determine whether users turned to AI as a temporary supplement to human care or as a total replacement for unaffordable or unavailable professional psychiatric services.

Next Steps for Clinical Practice and Policy

With waiting lists for mental health services swelling worldwide, conversational algorithms are quietly filling a massive public health vacuum.

“Understanding patients’ digital help-seeking behaviors is becoming an important part of modern mental health care,” Hadar Shoval stressed. “Future research should focus on safety, crisis-response quality, and whether AI serves as a complement to professional support or, in some cases, replaces it.”

The authors conclude that mental health clinicians must begin routinely inquiring about their patients’ digital habits, while developers and policymakers must establish standardized clinical guardrails, ensuring that emotionally vulnerable individuals confiding in algorithms are directed toward verified, evidence-based human care.

Editorial Notes:

  • This article was edited by a Neuroscience News editor.
  • Journal paper reviewed in full.
  • Additional context added by our staff.

About this AI and mental health Research:

  • Media Contact: Einat Paz-Frankel
  • Source: Tel-Hai University of Kiryat Shmona in the Galilee
  • Image Credit: Image credited to Neuroscience News
  • Original Research is Open Access: Cyberpsychology ,Behavior, and Social Networking (Oct 1, 2026). “AI-Mediated Mental Health Support: The Role of Attachment Orientation and Psychological Distress.” Authors: Dorit Hadar Shoval, Elad Refoua, Karny Gigi, Yuval Haber, Inbar Levkovich, Iftach Tsafrir, Ori Pen, and Zohar Elyoseph.
  • DOI: 10.1177/21522715261494423

Abstract

AI-Mediated Mental Health Support: The Role of Attachment Orientation and Psychological Distress

General-purpose generative AI (GenAI) models are increasingly serving as quasi-social agents, representing a novel form of informal AI-mediated help-seeking.

This study examined associations between adult attachment orientations (Experiences in Close Relationships-Relationship Structures questionnaire), psychological distress (Depression Anxiety Stress Scales–21), and the use of GenAI for mental health support.

In a nonprobability sample of 584 Israeli adult GenAI users, 29.3 percent reported having turned to these models at least once for emotional support, coping advice, or mental health assistance; the proportion reached 47.0 percent among those reporting severe distress.

These self-reported figures reflect any such contact, from a single exchange to sustained use. Hierarchical logistic regression identified distress as the strongest psychological correlate of use. Younger age and female gender predicted use.

Attachment anxiety was associated with use, but this association did not remain significant once distress was included, a pattern consistent with the shared variance between the two constructs. Attachment avoidance was negatively but nonsignificantly associated with use.

Findings position general-purpose GenAI as an accessible, low-barrier resource disproportionately used by distressed individuals. The high uptake among severely distressed users (47.0 percent) points to potential safety concerns and to a need for systematic evaluation of the safety, crisis-response quality, and clinical-displacement risks of consumer-facing AI use.

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Axios: Left’s dream agenda

Left’s dream agenda
 
Illustration of a donkey's silhouette inside a tsunami wave.
Illustration: Maura Losch/Axios
 
House progressives are planning to use their growing power to force votes next year on their most sweeping and divisive policies, including Medicare for All, abolishing ICE and cutting aid to Israel, Axios’ Andrew Solender writes.

Why it matters: The ultimate goal is to get these policies on the front burner for a Democratic president in 2029, even if that means forcing House Democrats into tough decisions

🔎 Zoom in: Here is what progressives most want to see go to a House vote in 2027, according to lawmakers, candidates and operatives who spoke to Axios:

1. Medicare for All. The Medicare for All Act introduced by Rep. Pramila Jayapal (D-Wash.) has 118 co-sponsors — more than half the House Democratic caucus.

The left wants to force the issue onto the floor and make their Democratic colleagues reckon with the policy’s popularity in public opinion polls.

The aim is to make support for Medicare for All a must for any 2028 presidential candidate to win the primary.

2. Abolish or defund ICE. Several progressives pointed to Rep. Delia Ramirez’s (D-Ill.) “Melt ICE Act,” which would cut all funding for ICE detention and monitoring of immigrants.

Another bill would go even further, fully abolishing ICE and dismantling ICE’s parent agency, the Department of Homeland Security.

Moderate Democrats have long opposed defunding ICE. Party leadership has proposed reforms to the agency’s practices rather than cutting funds.

3. Cut aid to Israel. The Block the Bombs Act, which would restrict presidents’ ability to transfer offensive weaponry to Israel, is the left’s marquee legislation on this issue.

The left is putting external pressure on the party’s pro-Israel wing, which suffered serious losses in House primaries this year.

4. AI. Progressives have been some of the earliest adopters of anti-AI rhetoric, proposing strict regulations on the technology, a moratorium on data centers and a ban on Flock cameras.

5. Affordability. Progressives are eyeing a living wage, universal child care, lifting the payroll tax cap to shore up Social Security, and repealing a cap on federally subsidized public housing.

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Mario Nawfal on X: U.S. intelligence reportedly concluded that a woman with direct access to Nvidia CEO Jensen Huang was a CHINESE INTELLIGENCE ASSET, and Trump was briefed about it roughly a year ago

U.S. intelligence reportedly concluded that a woman with direct access to Nvidia CEO Jensen Huang was a CHINESE INTELLIGENCE ASSET, and Trump was briefed about it roughly a year ago…

Surveillance of Alice Huang, a Chinese citizen and executive linked to Singapore-based data-center company Megaspeed, led U.S. officials to conclude she was gathering information for Beijing.

Intelligence also revealed she had developed a close relationship with Huang.

Officials did not believe Huang knew about her alleged intelligence role when Trump was initially briefed, though some administration officials have since questioned whether he could have remained unaware.

Trump reportedly chose not to act on the intelligence, amid concerns about disrupting Nvidia’s China business and broader U.S.-China trade relations.

Nvidia says their interactions were ordinary CEO-customer meetings and that Megaspeed received no sensitive trade secrets or national-security information**.

U.S. intelligence reportedly saw a potential Chinese spy with access to one of America’s most important tech CEOs, and the White House decided not to intervene.

Source: NYT / Writer: Samuel

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Harvard : Graduate Education

Tackle Chronic Absenteeism by Keeping Families Engaged

Research from Professor Karen Mapp and colleagues shows that strong family-school partnerships can help curb chronic absenteeism and improve student outcomes

Illustration of student supported by family
Illustration: Eric Palma

During fall 2020, about six months after the pandemic shut down schools across the country, Professor Karen Mapp, Ed.D.’99, started hearing stories from her superintendent friends about drops in learning. Specifically, schools with a strong culture of engaging with families weren’t seeing the same drops that schools without were seeing. The stories didn’t surprise Mapp. They were proof of what she had been teaching and talking about for years: Family engagement matters.

But there was another piece of these stories beyond academics that began to pique her interest: Strong family engagement also seemed to be having an impact on student absenteeism once schools started to reopen their doors.

“Schools with strong family engagement didn’t see the same challenges around getting kids to come back to school,” says Mapp, a former deputy superintendent for family and community engagement in Boston Public Schools. “They didn’t see the same rates of chronic absenteeism. I was really interested in trying to figure this out.”

It’s a critical issue to tackle. The U.S. Department of Education defines chronic absenteeism as students missing 10% or more of school, or about 18 days. According to the American Enterprise Institute, a policy think tank in Washington, D.C., chronic absenteeism surged from 15% of K–12 students in 2019 to more than 28% in 2022. By spring 2024, that number was still around 23%.

With these sobering figures in mind, Mapp decided to join forces with TNTP (originally the New Teacher Project) and Learning Heroes, two national education nonprofits, as well as Eyal Bergman, Ed.M.’14, Ed.L.D.’21, a strategic adviser for Learning Heroes, and Todd Rogers, a professor at the Kennedy School, on a three-phase study to explore why — and how — schools with strong family engagement prior to the pandemic were seeing lower rates of chronic absenteeism.

In phase one of the study, the team analyzed data from more than 3,000 schools in Illinois — a state chosen because they believed “it strongly reflects the diversity of the entire country” in terms of race, income, age, religion, and education. To determine a school’s level of family engagement, the team used each school’s “family involvement” score from the state’s 5Essentials survey, an annual survey of teachers, students, and parents. The survey measures five areas that impact student achievement, including: effective leaders, collaborative teachers, supportive environments, ambitious instruction, and involved families. The latter measures, among other things, how much parents are included in school decisions and the trust level between parents, teachers, and staff.

“What our study found was that strong family engagement is clearly associated with better student outcomes,” Bergman says. “Schools with strong family engagement scores pre-pandemic experienced a far smaller increase in chronic absenteeism post-pandemic. This is with more than 3,000 schools in our data set, and after controlling for dozens of school and community characteristics.”

For example, they found that schools with weaker engagement had a 15.95% increase in students’ chronic absenteeism when comparing outcomes from 2018–2019 and 2021–2022. This has an impact on state test scores: Schools with stronger family engagement, for example, performed 27% better in English and 37% better in math, on average, on Illinois state standardized assessment tests. As the team noted in a recent report shared on their website, “the difference we observe for schools with stronger family engagement is so large that it is comparable to having 114 additional days of in‑person learning in ELA and 96 additional days in math.”

For the second stage of the study, the team wanted to analyze and unpack what schools with strong family engagement were actually doing — the “how” of their success.

“What is it that those schools do when they say that they’re engaged more with their families?” Mapp says. “What does the ‘more’ actually look like? What is it that these schools are doing?”

“We know that these partnerships between schools and families really make a difference. And now we’ve got even more evidence about what those partnerships should look like.”

Professor Karen Mapp

She says so far what they are uncovering aligns with a document called Partners in Education: Dual Capacity-Building Framework for Family-School Partnerships that she helped develop in 2010 for then-Secretary of Education Arne Duncan. The document’s framework was meant to help the U.S. Department of Education understand and develop ways for schools across the country to build stronger family relationships.

“What we’re finding out is exactly what’s in the dual capacity- building framework,” she says. “It’s absolutely perfectly aligned with what we say are the essential conditions for strong partnerships.” One common condition that schools with strong family partnerships have, for example, is being proactive, consistent, and persistent in how they communicate with families, and that doesn’t mean just translating material into various languages. Successful schools also offer student-led parent-teacher conferences and have families sign off on reading time and homework. Successful schools emphasize a schoolwide mindset that sees families as equal partners on the same team as the communischools. As one principal told them, “The ‘why’ is pretty simple: We don’t achieve our mission without our families. It’s as simple as that.”

For the final stage of the study, the team will design a new tool that educators, policymakers, and researchers can use to fully measure the strength of a school’s family engagement efforts. Currently, no reliable tool like this exists.

“In the first phase, we identified that yes, family engagement makes a difference; and here’s how during COVID these kids still had better grades and test scores and chronic absenteeism wasn’t as bad,” Mapp says, compared with schools with weaker family partnerships. “Phase two, we found out what exactly those schools did. Now we’ve got identifiers of what best practice looks like, and we want to develop a tool that schools and districts can use to actually measure the strength of their engagement.”

Bergman says the plan is to test the tool in a national sample of schools.

“Ultimately,” he says, “we hope this field-wide measurement tool will provide schools and districts with a practical instrument to support implementation of research-informed strategies that make a meaningful difference for students.”

Mapp says it’s clear that educators want and need this kind of tool because, without it, they are left doing what they have always done to engage families: the mandatory parent-teacher conference, for example, where teachers talk at parents for 15 minutes, or hosting monthly PTA meetings in person and at night that don’t mesh with busy parent schedules.

“There are a lot of reasons educators keep doing what they do, but one is because they haven’t been trained on what effective practice looks like,” says Mapp. “So quite frankly, that’s why people like me are still in business: People have to unlearn a lot of the bad practices that they’ve learned over the years. The bottom line is they haven’t learned what works.

“What I’m trying to do and others are trying to do is both the prevention part, which is to make sure that our new teachers have this knowledge and the right mindsets, and then we’ve got to do the rehab part, which is taking the folks that are already in the field and providing them with professional development so that they don’t keep making the same mistakes around engaging with their families,” she says. “We know that these partnerships between schools and families really make a difference. And now we’ve got even more evidence about what those partnerships should look like.”

Family Engagement Takeaways

  • Schools that were doing a good job engaging their families before COVID didn’t see the same drops in learning post-COVID that schools without strong engagement were seeing. Those schools also had an easier time getting kids to come back to classrooms once schools started to reopen.
  • Key characteristics that schools with strong family partnerships have include: being proactive, consistent, and persistent in how they communicate with families beyond just translating material into various languages; offering student-led parent-teacher conferences; asking families to sign off on reading time and homework; emphasizing a schoolwide mindset that sees families as equal partners.
  • Teachers and other educators often need better training and professional development to “unlearn” what they’ve typically done in the past around engaging with parents and families in order to recognize that partnerships between school and families make a difference.

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