Anomalous static and dynamic functional connectivity of amygdala subregions in individuals with high trait anxiety

2021 ◽  
Author(s):  
Chanyu Wang ◽  
You Wang ◽  
Way K. W. Lau ◽  
Xinhua Wei ◽  
Xiangang Feng ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Trait Anxiety ◽  
Dynamic Functional Connectivity ◽  
High Trait ◽  
High Trait Anxiety

Dysregulated brain salience within a triple network model in high trait anxiety individuals: A pilot EEG functional connectivity study

2020 ◽  
Vol 157 ◽  
pp. 61-69
Author(s):  
Chiara Massullo ◽  
Giuseppe Alessio Carbone ◽  
Benedetto Farina ◽  
Angelo Panno ◽  
Cristina Capriotti ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Network Model ◽  
Trait Anxiety ◽  
High Trait ◽  
Eeg Functional Connectivity ◽  
High Trait Anxiety

Default mode network alterations in individuals with high-trait-anxiety: An EEG functional connectivity study

2019 ◽  
Vol 246 ◽  
pp. 611-618 ◽  
Author(s):  
Claudio Imperatori ◽  
Benedetto Farina ◽  
Mauro Adenzato ◽  
Enrico Maria Valenti ◽  
Cristina Murgia ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Trait Anxiety ◽  
Default Mode Network ◽  
Default Mode ◽  
High Trait ◽  
Eeg Functional Connectivity ◽  
High Trait Anxiety

Strategy bias in the emotion regulation of high trait anxiety individuals: An investigation of underlying neural signatures using ERPs.

2019 ◽  
Vol 33 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Dong-ni Pan ◽  
Yi Wang ◽  
Xuebing Li
Keyword(s):  
Emotion Regulation ◽  
Trait Anxiety ◽  
High Trait ◽  
High Trait Anxiety ◽  
Neural Signatures

scholarly journals A machine learning approach to identifying objective biomarkers of anxiety and stress

2019 ◽  
Author(s):  
Arjun Ramakrishnan ◽  
Adam Pardes ◽  
William Lynch ◽  
Christopher Molaro ◽  
Michael Louis Platt
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Trait Anxiety ◽  
Video Game ◽  
Social Stress ◽  
Internal State ◽  
Self Report ◽  
Support Vector ◽  
High Trait ◽  
High Trait Anxiety

AbstractAnxiety and stress-related disorders are highly prevalent and debilitating conditions that impose an enormous burden on society. Sensitive measurements that can enable early diagnosis could mitigate suffering and potentially prevent onset of these conditions. Self-reports, however, are intrusive and vulnerable to biases that can conceal the true internal state. Physiological responses, on the other hand, manifest spontaneously and can be monitored continuously, providing potential objective biomarkers for anxiety and stress. Recent studies have shown that algorithms trained on physiological measurements can predict stress states with high accuracy. Whether these predictive algorithms generalize to untested situations and participants, however, remains unclear. Further, whether biomarkers of momentary stress indicate trait anxiety – a vulnerability foreshadowing development of anxiety and mood disorders – remains unknown. To address these gaps, we monitored skin conductance, heart rate, heart rate variability and EEG in 39 participants experiencing physical and social stress and compared these measures to non-stressful periods of talking, rest, and playing a simple video game. Self-report measures were obtained periodically throughout the experiment. A support vector machine trained on physiological measurements identified stress conditions with ~96% accuracy. A decision tree that optimally combined physiological and self-report measures identified individuals with high trait anxiety with ~84% accuracy. Individuals with high trait anxiety also displayed high baseline state anxiety but a muted physiological response to acute stressors. Overall, these results demonstrate the potential for using machine learning tools to identify objective biomarkers useful for diagnosing and monitoring mental health conditions like anxiety and depression.

scholarly journals During Vigilance to Painful Stimuli: Slower Response Rate Related to High Trait Anxiety, whereas a Faster Response Rate is related to High State Anxiety

2020 ◽  
Author(s):  
Timothy J Meeker ◽  
Nichole M. Emerson ◽  
Jui-Hong Chien ◽  
Mark I. Saffer ◽  
Oscar Joseph Bienvenu ◽  
...  
Keyword(s):  
Response Bias ◽  
Trait Anxiety ◽  
State Anxiety ◽  
Response Rate ◽  
Time On Task ◽  
Lower Response Rate ◽  
State And Trait Anxiety ◽  
High Trait ◽  
High Trait Anxiety ◽  
Over Time

A pathological increase in vigilance, or hypervigilance, may be related to pain intensity in some clinical pain syndromes and may result from attention bias to salient stimuli mediated by anxiety. During a continuous performance task where subjects discriminated painful target stimuli from painful nontargets, we measured detected targets (hits), nondetected targets (misses), nondetected nontargets (correct rejections), and detected nontargets (false alarms). Using signal detection theory, we calculated response bias, the tendency to endorse a stimulus as a target, and discriminability, the ability to discriminate a target from nontarget. Due to the relatively slow rate of stimulus presentation our primary hypothesis was that sustained performance would result in a more conservative response bias reflecting a lower response rate over time on task. We found a more conservative response bias with time on task and no change in discriminability. We predicted that greater state and trait anxiety would lead to a more liberal response bias. A multivariable model provided partial support for our prediction; high trait anxiety related to a more conservative response bias (lower response rate), while high state anxiety related to a more liberal bias. This inverse relationship of state and trait anxiety is consistent with reports of effects of state and trait anxiety on reaction times to threatening stimuli. In sum, we report that sustained attention to painful stimuli was associated with a decrease in the tendency of the subject to respond to any stimulus over time on task, while the ability to discriminate target from nontarget is unchanged.

High trait anxiety enhances optimal integration of auditory and visual threat cues

2022 ◽  
Vol 74 ◽  
pp. 101693
Author(s):  
Naomi Heffer ◽  
Molly Gradidge ◽  
Anke Karl ◽  
Chris Ashwin ◽  
Karin Petrini
Keyword(s):  
Trait Anxiety ◽  
Optimal Integration ◽  
High Trait ◽  
Threat Cues ◽  
High Trait Anxiety

The intensity of awake bruxism episodes is increased in individuals with high trait anxiety

2020 ◽  
Author(s):  
Madonna Rofaeel ◽  
Jeffrey Chi-Fai Chow ◽  
Iacopo Cioffi
Keyword(s):  
Trait Anxiety ◽  
High Trait ◽  
High Trait Anxiety ◽  
Awake Bruxism

Pattern of Brain Activity Linked to Low Mood in People With High Trait Anxiety

JAMA ◽  
2019 ◽  
Vol 321 (5) ◽  
pp. 442
Author(s):  
Tracy Hampton
Keyword(s):  
Trait Anxiety ◽  
Brain Activity ◽  
Low Mood ◽  
High Trait ◽  
High Trait Anxiety

Social stress induces hypothalamo-pituitary-adrenal axis responses in lactating rats bred for high trait anxiety

2007 ◽  
Vol 25 (5) ◽  
pp. 1599-1603 ◽  
Author(s):  
A. J. Douglas ◽  
S. L. Meddle ◽  
S. Kroemer ◽  
W. Muesch ◽  
O. J. Bosch ◽  
...  
Keyword(s):  
Trait Anxiety ◽  
Social Stress ◽  
Adrenal Axis ◽  
High Trait ◽  
High Trait Anxiety ◽  
Pituitary Adrenal Axis

scholarly journals Gender Difference of Unconscious Attentional Bias in High Trait Anxiety Individuals

PLoS ONE ◽  
2011 ◽  
Vol 6 (5) ◽  
pp. e20305 ◽  
Author(s):  
Jieqing Tan ◽  
Zheng Ma ◽  
Xiaochao Gao ◽  
Yanhong Wu ◽  
Fang Fang
Keyword(s):  
Gender Difference ◽  
Attentional Bias ◽  
Trait Anxiety ◽  
High Trait ◽  
High Trait Anxiety
Sign in / Sign up

Export Citation Format

Share Document