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Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD,…

Quantitative Methods · Quantitative Biology 2025-01-27 Roberto Goya-Maldonado , Tracy Erwin-Grabner , Ling-Li Zeng , Christopher R. K. Ching , Andre Aleman , Alyssa R. Amod , Zeynep Basgoze , Francesco Benedetti , Bianca Besteher , Katharina Brosch , Robin Bülow , Romain Colle , Colm G. Connolly , Emmanuelle Corruble , Baptiste Couvy-Duchesne , Kathryn Cullen , Udo Dannlowski , Christopher G. Davey , Annemiek Dols , Jan Ernsting , Jennifer W. Evans , Lukas Fisch , Paola Fuentes-Claramonte , Ali Saffet Gonul , Ian H. Gotlib , Hans J. Grabe , Nynke A. Groenewold , Dominik Grotegerd , Tim Hahn , J. Paul Hamilton , Laura K. M. Han , Ben J. Harrison , Tiffany C. Ho , Neda Jahanshad , Alec J. Jamieson , Andriana Karuk , Tilo Kircher , Bonnie Klimes-Dougan , Sheri-Michelle Koopowitz , Thomas Lancaster , Ramona Leenings , Meng Li , David E. J. Linden , Frank P. MacMaster , David M. A. Mehler , Susanne Meinert , Elisa Melloni , Bryon A. Mueller , Benson Mwangi , Igor Nenadić , Amar Ojha , Yasumasa Okamoto , Mardien L. Oudega , Brenda W. J. H. Penninx , Sara Poletti , Edith Pomarol-Clotet , Maria J. Portella , Elena Pozzi , Joaquim Radua , Elena Rodríguez-Cano , Matthew D. Sacchet , Raymond Salvador , Anouk Schrantee , Kang Sim , Jair C. Soares , Aleix Solanes , Dan J. Stein , Frederike Stein , Aleks Stolicyn , Sophia I. Thomopoulos , Yara J. Toenders , Aslihan Uyar-Demir , Eduard Vieta , Yolanda Vives-Gilabert , Henry Völzke , Martin Walter , Heather C. Whalley , Sarah Whittle , Nils Winter , Katharina Wittfeld , Margaret J. Wright , Mon-Ju Wu , Tony T. Yang , Carlos Zarate , Dick J. Veltman , Lianne Schmaal , Paul M. Thompson

Social media has become an important source for understanding mental health, providing researchers with a way to detect conditions like depression from user-generated posts. This tutorial provides practical guidance to address common…

Computation and Language · Computer Science 2025-08-06 Yeyubei Zhang , Zhongyan Wang , Zhanyi Ding , Yexin Tian , Jianglai Dai , Xiaorui Shen , Yunchong Liu , Yuchen Cao

Early detection of depression from social media data offers a valuable opportunity for timely intervention. However, this task poses significant challenges, requiring both professional medical knowledge and the development of accurate and…

Computation and Language · Computer Science 2025-03-20 Xiangyong Chen , Xiaochuan Lin

The increasing prevalence of mental health disorders, such as depression, anxiety, and bipolar disorder, calls for immediate need in developing tools for early detection and intervention. Social media platforms, like Reddit, represent a…

Machine Learning · Computer Science 2025-03-12 Qasim Bin Saeed , Ijaz Ahmed

The significance of mental health classification is paramount in contemporary society, where digital platforms serve as crucial sources for monitoring individuals' well-being. However, existing social media mental health datasets primarily…

Computation and Language · Computer Science 2024-11-08 Rina Carines Cabral , Siwen Luo , Josiah Poon , Soyeon Caren Han

Depression is a major global public health challenge and its early identification is crucial. Social media data provides a new perspective for depression detection, but existing methods face limitations such as insufficient accuracy,…

Artificial Intelligence · Computer Science 2026-01-12 Yukun Yang

Stress and depression are prevalent nowadays across people of all ages due to the quick paces of life. People use social media to express their feelings. Thus, social media constitute a valuable form of information for the early detection…

Computation and Language · Computer Science 2023-11-07 Loukas Ilias , Dimitris Askounis

Preliminary detection of mild depression could immensely help in effective treatment of the common mental health disorder. Due to the lack of proper awareness and the ample mix of stigmas and misconceptions present within the society,…

Anxiety and depression are the most common mental health issues worldwide, affecting a non-negligible part of the population. Accordingly, stakeholders, including governments' health systems, are developing new strategies to promote early…

Artificial Intelligence · Computer Science 2024-12-24 Francisco de Arriba-Pérez , Silvia García-Méndez

Major Depressive Disorder (MDD) is one of the most common causes of disability worldwide. Unfortunately, about one-third of patients do not benefit sufficiently from available treatments and not many new drugs have been developed in this…

Depression has emerged as a significant mental health concern due to a variety of factors, reflecting broader societal and individual challenges. Within the digital era, social media has become an important platform for individuals…

Computers and Society · Computer Science 2023-10-19 Qihan Wang , Anique Tahir , Zeyad Alghamdi , Huan Liu

Depression is one of the most common mental disorders, which imposes heavy negative impacts on one's daily life. Diagnosing depression based on the interview is usually in the form of questions and answers. In this process, the audio…

Multimedia · Computer Science 2022-06-28 Yanrong Guo , Chenyang Zhu , Shijie Hao , Richang Hong

Social media channels, such as Facebook, Twitter, and Instagram, have altered our world forever. People are now increasingly connected than ever and reveal a sort of digital persona. Although social media certainly has several remarkable…

Social and Information Networks · Computer Science 2020-08-26 Hatoon S. AlSagri , Mourad Ykhlef

Depressive disorder is one of the most prevalent mental illnesses among the global population. However, traditional screening methods require exacting in-person interviews and may fail to provide immediate interventions. In this work, we…

Computers and Society · Computer Science 2020-10-30 Boyu Zhang , Anis Zaman , Rupam Acharyya , Ehsan Hoque , Vincent Silenzio , Henry Kautz

Depression is one of the most prevalent mental health disorders globally. In recent years, multi-modal data, such as speech, video, and transcripts, has been increasingly used to develop AI-assisted depression assessment systems. Large…

Depression, as a typical mental disorder, has become a prevalent issue significantly impacting public health. However, the prevention and treatment of depression still face multiple challenges, including complex diagnostic procedures,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Yu Luo , Nan Huang , Sophie Yu , Hendry Xu , Jerry Wang , Colin Wang , Zhichao Liu , Chen Zeng

Depression, a prevalent mental health disorder impacting millions globally, demands reliable assessment systems. Unlike previous studies that focus solely on either detecting depression or predicting its severity, our work identifies…

The onset of old age brings physiological and mental changes, with anxiety and depression being common mental disorders that can trigger other health issues and reduce lifespan. However, due to a global shortage of mental health…

Systems and Control · Electrical Eng. & Systems 2024-10-04 Malik Faizan , P. J. White , Indrakshi Dey

Major depressive disorder (MDD) impacts more than 300 million people worldwide, highlighting a significant public health issue. However, the uneven distribution of medical resources and the complexity of diagnostic methods have resulted in…

Computation and Language · Computer Science 2025-05-02 Yuyang Sha , Hongxin Pan , Wei Xu , Weiyu Meng , Gang Luo , Xinyu Du , Xiaobing Zhai , Henry H. Y. Tong , Caijuan Shi , Kefeng Li

Depression is a common mental illness across current human society. Traditional depression assessment relying on inventories and interviews with psychologists frequently suffer from subjective diagnosis results, slow and expensive diagnosis…

Neurons and Cognition · Quantitative Biology 2025-07-01 Siyang Song , Yupeng Huo , Shiqing Tang , Jiaee Cheong , Rui Gao , Michel Valstar , Hatice Gunes