Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health study

Autor: Zhang, Yuezhou, Folarin, Amos A., Ranjan, Yatharth, Cummins, Nicholas, Rashid, Zulqarnain, Conde, Pauline, Stewart, Callum, Sun, Shaoxiong, Vairavan, Srinivasan, Matcham, Faith, Oetzmann, Carolin, Siddi, Sara, Lamers, Femke, Simblett, Sara, Wykes, Til, Mohr, David C., Haro, Josep Maria, Penninx, Brenda W. J. H., Narayan, Vaibhav A., Hotopf, Matthew, Dobson, Richard J. B., Pratap, Abhishek, consortium, RADAR-CNS

Prior research has shown that changes in seasons and weather can have a significant impact on depression severity. However, findings are inconsistent across populations, and the interplay between weather, behavior, and depression has not been fully q

Externí odkaz: http://arxiv.org/abs/2404.11212

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

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

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, likely due t

Externí odkaz: http://arxiv.org/abs/2311.11046

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Autor: Sun, Shaoxiong, Folarin, Amos A., Zhang, Yuezhou, Cummins, Nicholas, Garcia-Dias, Rafael, Stewart, Callum, Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Laiou, Petroula, Sankesara, Heet, Matcham, Faith, Leightley, Daniel, White, Katie M., Oetzmann, Carolin, Ivan, Alina, Lamers, Femke, Siddi, Sara, Simblett, Sara, Nica, Raluca, Rintala, Aki, Mohr, David C., Myin-Germeys, Inez, Wykes, Til, Haro, Josep Maria, Penninx, Brenda W. J. H., Vairavan, Srinivasan, Narayan, Vaibhav A., Annas, Peter, Hotopf, Matthew, Dobson, Richard J. B.

A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an acceptable threshold of missing data; distinguishing between the cross-sectio

Externí odkaz: http://arxiv.org/abs/2212.10540

Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings

Autor: Zhang, Yuezhou, Folarin, Amos A, Sun, Shaoxiong, Cummins, Nicholas, Vairavan, Srinivasan, Qian, Linglong, Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Stewart, Callum, Laiou, Petroula, Sankesara, Heet, Matcham, Faith, White, Katie M, Oetzmann, Carolin, Ivan, Alina, Lamers, Femke, Siddi, Sara, Simblett, Sara, Rintala, Aki, Mohr, David C, Myin-Germeys, Inez, Wykes, Til, Haro, Josep Maria, Penninx, Brenda WJH, Narayan, Vaibhav A, Annas, Peter, Hotopf, Matthew, Dobson, Richard JB, consortium, RADAR-CNS

Gait is an essential manifestation of depression. Laboratory gait characteristics have been found to be closely associated with depression. However, the gait characteristics of daily walking in real-world scenarios and their relationships with depres

Externí odkaz: http://arxiv.org/abs/2201.12644

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