Age-related reduction in trait anxiety: Behavioral and neural evidence of automaticity in negative facial emotion processing

Chaudhary, Shefali; Zhang, Sheng; Zhornitsky, Simon; Chen, Yu; Chao, Herta H.; Li, Chiang‐Shan R.

doi:10.1016/j.neuroimage.2023.120207

Cited by 10 publications

(18 citation statements)

References 116 publications

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“…Viewed from this perspective, human studies reporting lower amygdala or cingulate activation in response to negative valence stimuli in aged versus young adults may be accounted for by deficits in these brain areas as well (as opposed to a greater reactivity in young adults) (Chaudhary et al, 2023). Our present data reveals a close correspondence between conditioned fear recall and modularity, transitivity, and small world coefficient.…”

Section: Discussionsupporting

confidence: 55%

“…Age differences in hippocampal/prefrontal structure and function at the neuronal and synaptic level, stress coping/stress molecular signaling changes and changes in neuroimmune activity are thought to account for the observed age differences in conditioned freezing in mice (von Bohlen und Halbach et al, 2006;Oh et al, 2018;Evans et al, 2021). Viewed from this perspective, human studies reporting lower amygdala or cingulate activation in response to negative valence stimuli in aged versus young adults may be accounted for by deficits in these brain areas as well (as opposed to a greater reactivity in young adults) (Chaudhary et al, 2023). Our present data reveals a close correspondence between conditioned fear recall and modularity, transitivity, and small world coefficient ( Figure 8 and Supplemental Figure 10 ).…”

Section: Discussionmentioning

confidence: 99%

“…Neuroimaging studies have determined the major components of the neural circuitry involved in the differential processing of negative valence stimuli between young and older adults. The dorsal and rostral subregions of anterior cingulate cortex (ACg) show weaker responses to negative stimuli in old versus young adults (Chaudhary et al, 2023). Functional magnetic resonance imaging (fMRI) studies employing face perception tasks indicate that the amygdala has greater blood oxygenation level dependent (BOLD) response to negative emotion stimuli in young compared older adults (Fischer et al, 2005;Iidaka et al, 2002;Tessitore et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

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Age-Related Differences in Affective Behaviors in Mice: Possible Role of Prefrontal Cortical-Hippocampal Functional Connectivity and Metabolomic Profiles

Febo,

Mahar,

Rodriguez

et al. 2023

Preprint

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Differences in affective behavioral expression from early to late adulthood is thought to involve changes in frontal cortical responsiveness to negative valence stimuli. In mice, similar maturational changes in affective behaviors have also been reported but the functional neural circuitry remains unclear. In the present study we investigated age variations in affective behaviors and functional connectivity in male and female C57BL6/J mice. Mice aged 10, 30 and 60 weeks (wo) were tested over 8 weeks for open field activity, sucrose reward preference, social interactions and fear conditioning and functional neuroimaging. Frontal cortical and hippocampal tissues were excised for metabolomics analysis. Our results indicate that young 10wo mice display greater levels of anxiety-like locomotor behavior and develop robust fear conditioning compared to older adult and late middle-aged mice (30-60wo). This was accompanied by greater functional connectivity between a temporal cortical/auditory cortex network and subregions of the anterior cingulate cortex and ventral hippocampus, and a greater network modularity and assortative mixing of nodes in young versus older adult mice. Metabolome analyses identified differences in several essential amino acids between 10wo mice and the other age groups. The results support high ‘emotionality’ in younger versus older adult mice involving greater prefrontal-hippocampal connectivity.

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Section: Discussionsupporting

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Age-Related Differences in Affective Behaviors in Mice: Possible Role of Prefrontal Cortical-Hippocampal Functional Connectivity and Metabolomic Profiles

Febo,

Mahar,

Rodriguez

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Finally, we compared the resulting task-networks from both sample 1 and the meta-analyses, to ensure they covered and showed overlap with frequently observed regions in previously reported large-scale analyses (WM: Daamen et al, 2015; Fuentes-Claramonte et al, 2019; Kennedy et al, 2017; Rottschy et al, 2012; Snoek et al, 2021; https://identifiers.org/neurovault.collection:7103; SOCIAL: T. Chen et al, 2023; Hennion et al, 2016; Mossad et al, 2022; Patil et al, 2017; EMO: Chaudhary et al, 2023; Herrmann et al, 2020; Nord et al, 2017; Snoek et al, 2021; https://identifiers.org/neurovault.collection:7103). The resulting WM-NW had 49 nodes, the SOCIAL-NW had 71 nodes, and EMO-NW had 84 nodes.…”

Section: Methodsmentioning

confidence: 99%

Network and State Specificity in Connectivity-Based Predictions of Individual Behavior

Kraljevic

Langner

Küppers

et al. 2023

Preprint

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Predicting individual behavior from brain functional connectivity (FC) patterns can contribute to our understanding of human brain functioning. This may apply in particular if predictions are based on features derived from circumscribed, a priori defined functional networks, which improves interpretability. Furthermore, some evidence suggests that task-based FC data may yield more successful predictions of behavior than resting-state FC data. Here, we comprehensively examined to what extent the correspondence of functional network priors and task states with behavioral target domains influences the predictability of individual performance in cognitive, social, and affective tasks. To this end, we used data from the Human Connectome Project for large-scale out-of-sample predictions of individual abilities in working memory (WM), theory-of-mind cognition (SOCIAL), and emotion processing (EMO) from FC of corresponding and non-corresponding states (WM/SOCIAL/EMO/resting-state) and networks (WM/SOCIAL/EMO/whole-brain connectome). Using root mean squared error and coefficient of determination to evaluate model fit revealed that predictive performance was rather poor overall. Predictions from whole-brain FC were slightly better than those from FC in task-specific networks, and a slight benefit of predictions based on FC from task versus resting state was observed for performance in the WM domain. Beyond that, we did not find any significant effects of a correspondence of network, task state, and performance domains. Together, these results suggest that multivariate FC patterns during both task and resting states contain rather little information on individual performance levels, calling for a reconsideration of how the brain mediates individual differences in mental abilities.

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“…Anxiety diminishes with age (Chaudhary et al, 2023b;Jorm, 2000;Twenge et al, 2019), but it remains unclear whether age-related changes in emotional memory play a role in manifesting this positivity effect. Individuals with higher anxiety demonstrated better performance in recalling threatening relative to non-threatening words, and the difference was associated with state anxiety scores (Reidy and Richards, 1997).…”

Section: Introductionmentioning

confidence: 99%

Age-related reduction in anxiety and neural encoding of negative emotional memory

Chaudhary,

Zhang,

Chen

et al. 2023

Preprint

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Older people experience less anxiety. We examined how memory of negative emotional images varied with age and may reflect age-related differences in anxiety. Fifty-one adults, age 22-80 years, underwent imaging with a memory task where negative and neutral images were displayed pseudo-randomly. They were queried post-scan about the images inter-mixed with an equal number of images never displayed. Sensitivity (d’) and reporting bias (Z-score of false alarm rate; Z[FAR]) were quantified with signal detection theory. Age was negatively correlated with both Spielberg State Trait Anxiety Inventory (STAI) state score and d’ (negative – neutral) and positively with Z[FAR] (negative – neutral). However, STAI score and d’ or Z[FAR] (negative – neutral) were not significantly correlated. In whole-brain regression, STAI score was correlated with higher activity of the right middle/superior temporal gyri/temporal parietal junction (MTG/STG/TPJ) for “negative correct – incorrect” – “neutral correct – incorrect” trials. Further, the MTG/STG/TPJ activity (β) was also negatively correlated with age. Mediation analyses supported a complete mediation model of age less anxiety less MTG/STG/TPJ β. Together, the findings demonstrated age-related changes in negative emotional memory and how age-related reduction in anxiety is reflected in diminished temporoparietal cortical activities during encoding of negative emotional memory.

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Age-related reduction in trait anxiety: Behavioral and neural evidence of automaticity in negative facial emotion processing

Cited by 10 publications

References 116 publications

Age-Related Differences in Affective Behaviors in Mice: Possible Role of Prefrontal Cortical-Hippocampal Functional Connectivity and Metabolomic Profiles

Age-Related Differences in Affective Behaviors in Mice: Possible Role of Prefrontal Cortical-Hippocampal Functional Connectivity and Metabolomic Profiles

Network and State Specificity in Connectivity-Based Predictions of Individual Behavior

Age-related reduction in anxiety and neural encoding of negative emotional memory

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