The relationship between borderline personality disorder and anxiety disorders. [PDF]
, 1989 Jane Benjamin +3 more
openalex +1 more source
Anxiety disorders and substance use disorders: Different associations by anxiety disorder [PDF]
Journal of Anxiety Disorders, 2012 Anxiety disorders (ADs) and substance use disorders (SUDs) often occur together, but the strength of this association and their apparent order of onset differ across studies. The goals of this study were to examine: (1) which ADs were associated with which SUDs, and (2) among people who experienced both an AD and a SUD, which disorder had an earlier ...
openaire +3 more sources
Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population [PDF]
arXivDepression and anxiety are prevalent mental health disorders that frequently cooccur, with anxiety significantly influencing both the manifestation and treatment of depression. An accurate assessment of anxiety levels in individuals with depression is crucial to develop effective and personalized treatment plans.
arxiv
Advanced Intelligent Systems, EarlyView.This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data [PDF]
Proceedings of the 9th Workshop on Computational Linguistics and
Clinical Psychology (CLPsych 2024)We present a novel task that can elucidate the connection between anxiety and ADHD; use Transformers to make progress toward solving a task that is not solvable by keyword-based classifiers; and discuss a method for visualization of our classifier illuminating the connection between anxiety and ADHD presentations.
arxiv
Algorithmically Enhanced Wearable Multimodal Emotion Sensor
Advanced Intelligent Systems, EarlyView.This study presents a fully printed, organic wearable sensor for multimodal emotion sensing by noninvasively monitoring physiological indicators like physiological pulse, breathing patterns, and voice signatures. Using LSTM networks and Q‐learning, the system achieves over 91% accuracy, offering a pathway to understanding complex emotions and enhancing
Anand Babu +4 more
wiley +1 more source
Fear and fitness: An evolutionary analysis of anxiety disorders [PDF]
, 1994 Isaac Marks, Randolph M. Nesse
openalex +1 more source
Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals [PDF]
arXivAnxiety is a common mental health condition characterised by excessive worry, fear and apprehension about everyday situations. Even with significant progress over the past few years, predicting anxiety from electroencephalographic (EEG) signals, specifically using error-related negativity (ERN), still remains challenging. Following the PRISMA protocol,
arxiv
Adrenergic status in anxiety disorders: Platelet alpha2-adrenergic receptor binding, blood pressure, pulse, and plasma catecholamines in panic and generalized anxiety disorders patients and in normal subjects [PDF]
, 1990 Oliver G. Cameron +5 more
openalex +1 more source
Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables [PDF]
arXivAnxiety-provoking activities, such as public speaking, can trigger heightened anxiety responses in individuals with anxiety disorders. Recent research suggests that physiological signals, including electrocardiogram (ECG) and electrodermal activity (EDA), collected via wearable devices, can be used to detect anxiety in such contexts through machine ...
arxiv