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Brain-reading AI model reveals how different brain regions are linked to cognitive functions. Photo: Courtesy of Lu Han
Chinese scientists have developed a “brain-reading” AI model that could help predict the risk of depression among adolescents up to four years in advance by analyzing how humans respond to facial expressions, a technology expected to inspire future development of embodied intelligent humanoids capable of perceiving human emotion and thoughts through nuanced facial cues. 
WHO data show that around 332 million people worldwide have depression, about one-third of whom have treatment-resistant forms of the condition. In China, an estimated 95 million people suffer from depression, National Business Daily reported, citing statistics from the China Mental Health Survey. 
Using data from a population-based longitudinal adolescent cohort recruited across several European countries, the research team led by Lu Han, assistant professor at the School of Artificial Intelligence, Shenzhen University, has built an AI model that predicted which 19-year-olds were more likely to develop depression at the age of 23. The predictions were backed up by an independent clinical cohort of individuals with depression. The team’s paper was published in the journal Science Advances this month.
According to Lu, the study used brain scans taken at age 19 to predict depression-related symptoms at age 23. The study focuses on adolescence because the transition from adolescence to early adulthood is a key developmental period when depressive symptoms can increase rapidly. The earlier risks are identified, the greater the opportunity for prevention, Lu told the Global Times on Monday, adding that the findings need to be further validated in middle-aged and older adults and across different ethnic groups in future research. 
In this study, the researchers analyzed data from adolescents in the IMAGEN, a population-based longitudinal cohort recruited across several European countries. At age 19, participants underwent an fMRI emotional-face task, and their emotional symptoms were assessed using standardized questionnaires. Genetic data obtained from blood samples were also analyzed, and participants were followed up at age 23. The researchers examined whether neural representations of angry faces at age 19 were associated with emotional symptoms and could predict elevated emotional symptoms four years later.
According to Lu, people without depression can more easily distinguish emotional changes based on others’ facial expressions and respond accordingly – for example, responding with friendliness to a smiling expression. But people with depression cannot do this, and are more likely to assume people are angry with them. 
A brain-aligned deep-learning model developed by Lu’s team suggested that those participants whose brains were less able to distinguish between different facial emotions and tended to perceive others as angry were more likely to develop symptoms of depression and anxiety in adulthood. 
The hypothesis that adolescents at risk of depression may respond differently to other people’s facial expressions than those without such risk based on the negative information processing bias long observed in depression research: people at risk of depression are more likely to notice, interpret, or remember negative social information, Lu said. 
The researchers focused on angry facial expressions because they signal social threat and rejection, which are closely linked to interpersonal difficulties and negativity bias associated with depression. They hope to further understand how this bias develops within the visual system. 
Building on this, they created a deep learning model, which mimics how the brain processes visual information, to predict how the brain encodes abstract emotional concepts such as anger.
They found that 19-year-olds whose response to facial expressions was skewed in favour of negative emotions or memories were the most likely to develop some form of depression.
Based on these findings, Lu’s team then developed a marker that can identify possible warning signs. 
According to Lu, the study found that the computational biomarker was linked to the depression-related variant rs11123030 and polygenic risk for depression, suggesting that genetic susceptibility may affect emotional perception. It also provided predictive information beyond family stress and socioeconomic factors, complementing rather than replacing environmental risk factors. Therefore, depression is neither purely genetic nor purely psychological, but a complex mental disorder arising from the interplay of genetic susceptibility, brain development, emotional and cognitive processes, and life experiences. 
According to Lu, the study is also expected to advance AI by aligning deep neural networks with human brain activity and using parameter perturbations to probe neural mechanisms, allowing models to both predict and explain how biases may arise. 
The findings suggest that future affective computing and embodied AI should go beyond simply labeling facial expressions, incorporating visual details while preventing prior assumptions from overriding real-time sensory input, Lu said, adding that the findings could provide valuable insights for developing more interpretable robotic perception systems that more closely emulate the way humans process emotions.
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B |     Last month, the film industry lost veteran actor Dharmendra. Today would have been his 90th birthday, a date that would surely have brought out deep emotion for his family. After tributes from Hema Malini and Esha Deol, his son Bobby has now shared a touching message sharing his grief and love for his father.          Bobby wrote, "Mere Pyaare Papa aur Hamare Pyaare Dharam, Aapki soch main yeh likh raha hoon. Duniya mein itna pyaar nahi jitna aapne hum sabhi ko diya. Har muskurahat, har tapakte aansoo mein saath nibhaya, Har mushkil mein haath badhaya. Us tarah jis tarah sirf hum sab ke Dharam kar sakte the. Aap star banne toh sabko saath leke haath thaam ke aage badhe, Kisi ka haath nahi chhoda. Aapke humare Punjab ke Dango ka, Sahnewal ka, Bharat ka jhanda garv se lehraya."                                                                  View this post on Instagram          A post shared by Bobby Deol (@iambobbydeol)               He further added, "He-Man ho aap sab ke, Lekin bachpan se hi aap mere hero ho. Aap hi se humne sapne dekhna seekha, Aap hi se humne atmvishwas karna seekha, Aapke sanskaar se hum Deol banne. Dil ho to aapke jaisa, Junoon ho to aapke jaisa, Pyaar karo to aapke jaisa, Insaan bano to aapke jaisa. Papa ho aap mere, Lekin Dharam ho aap hum sab ke. Proud to be yours. Happy Birthday, my precious Papa. Love you forever and always."           Dharmendra passed away on November 24, 2025, at the age of 89. His demise was a shock to his fans and the people of the industry. Many Bollywood celebrities, including actors such as Shah Rukh Khan, Salman Khan, Aamir Khan, and Amitabh Bachchan, attended his funeral and the prayer meet that followed.           While Dharmendra is no longer with us, his fans will have the opportunity to see him on the big screen one last time in Ikkis. The film, which also features Agastya Nanda, is set for release on December 25, 2025.     Also Read: Apne 2 Not Shelved, Confirms Producer Deepak Mukut。

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