Personalized medicine and cognitive behavioral therapies for depression: Small effects, big problems, and bigger data
L Lorenzo-Luaces, A Peipert… - International Journal of …, 2021 - Springer
Cognitive-behavioral therapies (CBTs) are the most widely studied form of psychotherapy for
disorders like depression and anxiety. Nonetheless, there is heterogeneity in response to …
disorders like depression and anxiety. Nonetheless, there is heterogeneity in response to …
The mind after midnight: Nocturnal wakefulness, behavioral dysregulation, and psychopathology
Sufficient sleep with minimal interruption during the circadian/biological night supports
daytime cognition and emotional regulation. Conversely, disrupted sleep involving …
daytime cognition and emotional regulation. Conversely, disrupted sleep involving …
[HTML][HTML] The potential of chatbots for emotional support and promoting mental well-being in different cultures: mixed methods study
Background Artificial intelligence chatbot research has focused on technical advances in
natural language processing and validating the effectiveness of human-machine …
natural language processing and validating the effectiveness of human-machine …
[HTML][HTML] Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation
Due to the worldwide accessibility to the Internet along with the continuous advances in
mobile technologies, physical and digital worlds have become completely blended, and the …
mobile technologies, physical and digital worlds have become completely blended, and the …
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response
FZ Ali, RV Parsey, S Lin, J Schwartz… - NPJ Digital Medicine, 2023 - nature.com
Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no
circadian rhythm biomarkers have been clinically validated for assessing antidepressant …
circadian rhythm biomarkers have been clinically validated for assessing antidepressant …
Using language in social media posts to study the network dynamics of depression longitudinally
Network theory of mental illness posits that causal interactions between symptoms give rise
to mental health disorders. Increasing evidence suggests that depression network …
to mental health disorders. Increasing evidence suggests that depression network …
Text as signal. A tutorial with case studies focusing on social media (Twitter)
E Mayor, LM Bietti, EJ Canales-Rodríguez - Behavior research methods, 2023 - Springer
Sentiment analysis is the automated coding of emotions expressed in text. Sentiment
analysis and other types of analyses focusing on the automatic coding of textual documents …
analysis and other types of analyses focusing on the automatic coding of textual documents …
Predicting subjective well-being in a high-risk sample of Russian mental health app users
Despite recent achievements in predicting personality traits and some other human
psychological features with digital traces, prediction of subjective well-being (SWB) appears …
psychological features with digital traces, prediction of subjective well-being (SWB) appears …
Unpacking the exploration–exploitation tradeoff on Snapchat: The relationships between users' exploration–exploitation interests and server log data
Social media users continuously decide between looking for familiar content and exploring
novel content. Although prior research has extensively studied the trade-off between …
novel content. Although prior research has extensively studied the trade-off between …
Language use on Twitter reflects social structure and social disparities
E Mayor, LM Bietti - Heliyon, 2024 - cell.com
Large-scale mental health assessments increasingly rely upon user-contributed social
media data. It is widely known that mental health and well-being are affected by minority …
media data. It is widely known that mental health and well-being are affected by minority …