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Chen, P.-H. A.

Publications and source records attributed to Chen, P.-H. A..

7 recordsLinked to original sources

A longitudinal naturalistic fMRI study of trait anxiety and cross-phase consistency in subjective fear signature expression

Persistent fear is a central feature of anxiety, but it remains unclear whether this persistence is more closely related to the consistency of conditioned-threat processing or to the consistency of subjectively experienced fear. Using a longitudinal naturalistic viewing fMRI paradigm, the present study examined whether trait anxiety was associated with cross-phase consistency in the expression of two validated fear-related neural signatures. Forty-two participants completed two fMRI phases separated by approximately three months, viewing the same sequence of 18 naturalistic videos followed by a post-viewing resting-state segment, resulting in 19 corresponding analysis segments for all cross-phase analyses. We applied pre-trained subjective-fear and threat-conditioning signatures to estimate their expression over time and examined how consistently each signature was reexpressed across phases within each participant. We found that higher trait anxiety was significantly associated with greater cross-phase consistency in subjective-fear signature expression, whereas no significant association was observed for threat-conditioning signature expression. This association became more prominent over longer temporal windows and was not detected in the average time series of the amygdala, ventro-medial prefrontal cortex, insula, or hippocampus. These findings suggest that individual differences in trait anxiety are more closely associated with the consistent cross-phase reexpression of distributed neural patterns related to subjective fear than with the stability of conditioned-threat processing or regional neural dynamics. Taken together, this study shows how predictive brain models combined with longitudinal naturalistic viewing provide a new approach for examining individual differences in trait anxiety across repeated experiences of the same naturalistic contexts. HighlightsO_LIHigher trait anxiety predicted greater cross-phase subjective-fear consistency. C_LIO_LINo association emerged for the threat-conditioning neural signature. C_LIO_LIThe subjective-fear effect strengthened over longer temporal windows. C_LIO_LIThe effect was not detected in amygdala, vmPFC, insula, or hippocampus. C_LIO_LILongitudinal naturalistic fMRI tracked fear signatures across three months. C_LI

neuroscience↗

Intersubject variations in national identity ideology map onto variations in neural dynamics during geopolitical video viewing

When people watch the same political narrative, they often form different interpretations. Although prior research has shown that political ideology can shape shared neural responses to sociopolitical content, less is known about how individual differences in national identity ideology are associated with inter-individual similarity in neural dynamics during naturalistic viewing, particularly in sociopolitical contexts where national identity is highly salient in public discourse. We addressed this question across two studies in Taiwan by examining how Greater Chinese ideology relates to positive engagement and neural dynamics during naturalistic viewing of a pro-China video. In Study 1 (N = 52), higher Greater Chinese ideology was associated with greater positive engagement. In Study 2 (N = 60), participants underwent fMRI while viewing the same video. Intersubject representational similarity analysis showed that inter-individual similarity in Greater Chinese ideology was associated with inter-individual similarity in neural dynamics within the frontoparietal control network and default mode network. Notably, neural similarity was primarily observed among participants lower in Greater Chinese ideology, revealing an asymmetric pattern across the ideological continuum. These findings extend prior work on political ideology by demonstrating that national identity ideology is linked to both subjective experience and shared neural dynamics during political narrative processing in a non-Western context. HighlightsO_LINational identity ideology was linked to positive narrative engagement C_LIO_LIIdeology similarity mapped onto neural similarity in the FPN and DMN C_LIO_LIExperience and neural dynamics varied with national identity ideology C_LI

neuroscience↗

ISRSA uncovers the impact of state anxiety on multivariate activation patterns in the human extrastriate cortex

The current study used functional magnetic resonance imaging (fMRI) and showed that state anxiety modulated extrastriate cortex activity in response to emotionally-charged visual images. State anxiety and neuroimaging data from 53 individuals were subjected to an intersubject representational similarity analysis (ISRSA), wherein the geometries between neural and behavioral data were compared. This analysis identified the extrastriate cortex (fusiform gyrus and area MT) to be the sole regions whose activity patterns covaried with state anxiety. Importantly, we show that this brain-behavior association is revealed when treating state anxiety data as a multidimensional response pattern, rather than a single composite score. This suggests that ISRSA using multivariate distances may be more sensitive in identifying the shared geometries between self-report questionnaires and brain imaging data. Overall, our findings demonstrate that a transient state of anxiety may influence how visual information - especially those relevant to the valence dimension - is processed in the extrastriate cortex.

neuroscience↗

A neural signature of reward

Using a neurometric approach, we identify and validate a neural signature of reward encoded in a distributed pattern of brain activity using data collected from 21 different studies (N = 2,691). Our model can discriminate between receiving rewards from punishments in completely independent data with 99% accuracy and includes weights located in regions containing a high density of D2/D3 receptors. The model exhibits strong generalizability across a range of tasks probing reward, and a high degree of specificity for reward compared to non-reward constructs. We demonstrate several applications of how this model can infer psychological states of positive affect in the absence of self report. The model is sensitive to changes in brain activity following causal manipulations of homeostatic states, can uncover individual preferences for loss-aversion, and can be used to identify positive affective experiences when watching a television show. Our results suggest that there is a shared neural signature of reward elicited across these different task contexts.

neuroscience↗

Towards a Neurometric-based Construct Validity of Trust

Trust is a nebulous construct central to successful cooperative exchanges and interpersonal relationships. In this study, we introduce a new approach to establishing construct validity of trust using "neurometrics". We develop a whole-brain multivariate pattern capable of classifying whether new participants will trust a relationship partner in the context of a cooperative interpersonal investment game (n=40) with 90% accuracy and find that it also generalizes to a variant of the same task collected in a different country with 82% accuracy (n=17). Moreover, we establish the convergent and discriminant validity by testing the pattern on thirteen separate datasets (n=1,427) and find that trust is reliably related to beliefs of safety, inversely related to negative affect, but unrelated to reward, cognitive control, social perception, theory of mind, and self-referential processing. Together these results provide support for the notion that the psychological experience of trust contains elements of beliefs of reciprocation and fear of betrayal aversion. Contrary to our predictions, we found no evidence that trust is related to anticipated reward. This work demonstrates how "neurometrics" can be used to characterize the psychological processes associated with brain-based multivariate representations.

neuroscience↗

Inter-subject representational similarity analysis reveals individual variations in affective experience when watching erotic movies

We spend much of our life pursuing or avoiding affective experiences. However, surprisingly little is known about how these experiences are represented in the brain and if they are shared across individuals. Here, we explore variations in the construction of an affective experience during a naturalistic viewing paradigm based on subjective preferences in sociosexual desire and self-control using intersubject representational similarity analysis (IS-RSA). We found that when watching erotic movies, intersubject variations in sociosexual desire preferences of 26 heterosexual males were associated with similarly structured fluctuations in the cortico-striatal reward, default mode, and mentalizing networks. In contrast, variations in the self-control preferences were associated with shared dynamics in the fronto-parietal executive control and cingulo-insula salience networks. Importantly, these results were specific to the affective experience, as we did not observe any relationship with variation in preferences when individuals watched neutral movies. Moreover, these results appear to require multivariate representations of preferences as we did not observe any significant results using single summary scores. Our findings demonstrate that multidimensional variations in individual preferences can be used to uncover unique dimensions of an affective experience, and that IS-RSA can provide new insights into the neural processes underlying psychological experiences elicited through naturalistic experimental designs.

neuroscience↗

Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience

How we process ongoing experiences is shaped by our personal history, current needs, and future goals. Consequently, brain regions involved in generating these subjective appraisals, such as the vmPFC, often appear to be heterogeneous across individuals even in response to the same external information. To elucidate the role of the vmPFC in processing our ongoing experiences, we developed a computational framework and analysis pipeline to characterize the spatiotemporal dynamics of individual vmPFC responses as participants viewed a 45-minute television drama. Through a combination of functional magnetic resonance imaging, facial expression tracking, and self-reported emotional experiences across four studies, our data suggest that the vmPFC slowly transitions through a series of discretized states that broadly map onto affective experiences. Although these transitions typically occur at idiosyncratic times across people, participants exhibited a marked increase in state alignment during high affectively valenced events in the show. Our work suggests that the vmPFC ascribes affective meaning to our ongoing experiences.

neuroscience↗