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【开学季】西安航空基地第一幼儿园2025年春季学期开学温馨提示_我的网站
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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.
。 SCHOOL 启航新学期 喜迎新起点 亲爱的大朋友们、小朋友们： 新年好！冬去春来，一切美好如期而至，愉快而充实的假期生活即将结束，我们即将迎来新的学期、新的起点。 为了让小朋友们以最佳的状态回归幼儿园的生活，一份充满爱的“收心锦囊”送给您和孩子们，请查收哦！ 一 春季开学安排 开学时间 报名时间： 2025年2月13日（星期四） 大班：8:50——9:20 中班：9:30——10:00 小班：10:10——11:00 开学时间： 2025年2月14日（星期五） 温馨提示：报到当天携带物品请关注班级群通知！ 二 收心锦囊 01.规律作息要保持 家长在开学前，尽量按照幼儿园的作息时间陪伴孩子，早睡早起，按时午睡，缩短孩子娱乐时间，每天安排一定的学习时间，陪孩子读书、运动、做手工或讲故事，让生活逐渐恢复规律，逐渐进入上学状态。 02.饮食习惯要规律 临近开学，家长要注意孩子的饮食安全，少吃油腻食物和零食，多吃水果蔬菜，帮助孩子养成按时吃饭、健康饮食的好习惯。 03.自理能力要锻炼 开学前尽量让孩子自己吃饭、穿衣服，独立大小便等。不要嫌孩子太慢或做得不好而又开始帮他，要慢慢养成其独立的习惯。请告诉孩子起床之后，要自己叠被子、穿衣服、自己的绘本玩具要自己收拾，做一些力所能及的家务小事，这些事情看似简单，却能适时地锻炼孩子的独立性，学会分担责任。 04.心理暗示要做好 面对孩子可能出现的“返园综合症”。家长需要及时关注、了解孩子，以乐观的态度、正确的方法、鼓励的话语正面引导孩子收心，让孩子从心理上对新学期充满期待和信心。 我们可以鼓励孩子提前联系小伙伴，互相分享假期里的见闻和“新鲜事”，还可以跟孩子多谈谈幼儿园的生活，回忆一些开心的事情。强化在学校里曾经有过的正面的，积极的情绪体验唤起孩子在园美好回忆。 05.假期结尾巧安排 在假期结束前，家长可以为孩子提供相对安静的“收心”环境。比如一起回忆寒假的趣事、进行绘画、手工制作、体育锻炼、亲子阅读等。
二 | 三 温馨提示 01 返园前为孩子修剪指甲，养成良好的卫生习惯。 02 提前准备好孩子的被褥、换洗衣物等个人用品，为开学做好准备。
三 | 03 在外地过节、旅游的家长请关注天气变化及路况信息，返回途中注意安全。 04 严格遵守幼儿园的接送制度，请您在接送的路上注意交通安全。 05 如有特殊原因不能按时返园，也请提前和班级老师请假沟通。 图文/苗苗 编辑/苗苗 校对/婉婷 终审/暖阳。
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