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Chinese scientists develop ‘brain-reading’ AI model to help predict depression risk, may inspire future emotional-perception humanoids_我的网站

一 |     本网讯 特约记者马东旭报道          　　7月16日，以“乘风踏浪、共筑美好”为主题的2024年兴城房地产展示交易会在宁远广场举行。

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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.
。展会自7月16日开始至7月18日结束，为期3天。

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五 |          　　上午8时，宁远广场上人山人海，各参展房企纷纷拿出最大的“诚意”，在醒目位置设置区位图、鸟瞰图、实景拍摄，以及各种户型展示等，展位前购房者仔细研究地段、户型，置业顾问耐心地答疑解惑，帮助购房者选择心仪的房源。         　　天顺红海湾是兴城市房企中独有的一家集“产城旅”于一体的地产企业，以发展“文旅+康养”特色规划，结合“一岸、一环、两河、三街”全生态生活周期布局。此次房展会推出的二期房源，每一个细节都经过精雕细琢。         　　据介绍，今年房展会以“线上看展与线下看房”的形式相结合，兴城市13家房地产企业带来18个项目参展，项目涵盖多层、高层、洋房、别墅、商铺等产品类型。

六 | 参展的产品都是现房，参展房企均推出很多优质的特价房，最大限度让利于民。此外，本届房展会呈现出多元化的形式，参展单位除了本市知名房企，还有10余个建材装修品牌商家，商家们在展会上推出了专属团购优惠政策。         　　此次房展会由市房地产行业协会主办，兴城市住建局协办，这也是市2024年房地产展示交易会第二阶段。通过“政府搭台、企业让利、群众受益”方式实现互惠共赢，采用“网络展示、走进企业推介展示、现场展示、异业联盟”互动融合的形式进行。本次房展会还推出了两项购房保障，不仅对2024年房展会举办期间个人购买参展企业商品房的给予所缴纳契税总额100%的补贴，还对本次房展会期间参展房企推出的特价房源保价全年。         　　开幕式结束后，与会领导对参展房企进行了巡展。

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Published on:12:47:26