Neural and Behavioral Psychology Studies

The human claustrum activates across multiple cognitive tasks

This study examines claustrum activation during four cognitive tasks using fMRI, finding bilateral activation during cognitive control phases and supporting the NICC model.

Tuned to explore: Increased phasic responses to auditory targets and novelty in children regardless of induced tonic arousal

This study examines how modulating tonic arousal affects attentional processing in children and adults, finding no effect of arousal modulation but stronger phasic responses in children to novel stimuli.

INFLUENCE OF PREMENSTRUAL SYNDROME ON ATTENTIONAL CAPTURE BY EXPRESSIONS IN THE LUTEAL PHASE

This study investigates whether premenstrual syndrome (PMS) affects attentional capture by emotional faces during the luteal phase, finding no significant effect but confirming emotional stimuli consistently capture attention.

Anxious individuals are more sensitive to changes in outcome variability and value differences in dynamic environments

This study shows anxious individuals are more sensitive to changes in outcome variability and value differences in dynamic environments, displaying distinct learning patterns under different volatility and noise conditions.

Habenula-ventral tegmental area functional coupling and risk-aversion in humans

The paper identifies a negative habenula-ventral tegmental area functional coupling linked to risk-aversion and pro-variance bias in humans using fMRI and computational modeling.

Distinct neural routes for evaluative and informational social influence

The paper identifies distinct neural pathways for evaluative and informational social influence using EEG and the Judge-Advisor System, showing feedback and advice engage different processing routes.

From optimality to reality: decision-making in basal ganglia output

This study investigates how the substantia nigra pars reticulata encodes decision-making in monkeys, showing a shift from representing optimal choices to encoding actual selections during the decision process.

Multi-area Decision Dynamics Across Human Cortex Shape Confidence

This study investigates how confidence in decisions is shaped by competitive neural signals across multiple cortical areas using magnetoencephalography.

Neural correlates of transitions between internal and external cognitive domains

The paper investigates neural mechanisms of switching between external and internal cognitive domains using EEG and fMRI, finding asymmetrical effects in temporal and spatial patterns.

Cognitive modes involved in emotion regulation identified using Constrained Principal Component Analysis for fMRI (fMRI-CPCA)

The paper identifies four cognitive modes involved in emotion regulation during reappraisal using fMRI-CPCA, showing distinct neural engagement patterns for increasing and decreasing emotional responses.

Temporal Prediction through Integration of Probability Distributions of Event Timings at Multiple Levels

This study investigates how the brain integrates local and global probability distributions of event timings to make temporal predictions, showing that both contribute to reaction times and EEG reconstruction.

Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility

The paper develops a computational neuroimaging framework to study how the brain integrates internal and external stochastic information to guide behavior, finding that frontoparietal hubs integrate uncertainty from distributed brain regions.

Evolving learning state reactivation and value encoding neural dynamics in multi-step planning

The paper investigates neural dynamics during multi-step planning using MEG, showing evolving value encoding and state reactivation linked to improved performance and learning.

Neural mechanisms underlying reward processing and social cognition: a replication study with a Japanese sample

This study replicates neural mechanisms for reward processing and social cognition in a Japanese sample using fMRI, finding consistent activation patterns across tasks.

Neurocomputational mechanisms underlying the distinct motivational influences of reward and punishment on cognitive control

This study identifies distinct neural regions associated with reward and punishment influences on cognitive control using fMRI and a multi-incentive task, revealing how these incentives shape control strategies and mental effort.

Distinct representations of economic variables across regions and projections of the frontal cortex

The paper identifies distinct spatial and projection-based encoding of economic variables in the frontal cortex of mice during decision-making tasks.

Neither exogenous, nor endogenous: evidence for a distinct role of negative emotion during attentional control

The paper investigates whether negative emotion influences attentional control as a bottom-up or top-down process using a dot-probe task and eye-tracking.

Hidden-state inference aligns attention and neural representational geometry during flexible behaviour

The paper shows that latent-state inference, attention, and neural representational geometry are coordinated during flexible decision-making, with prediction errors affecting neural representations and task-relevant information prioritization.

The neural computations underlying context dependent attribute-based valuation of complex stimuli.

The paper investigates how the brain computes flexible value representations for complex stimuli based on context, showing distinct neural encoding of attributes and integrated value in prefrontal cortex.

Belief updating in uncertain environments are differentially sensitive to reward and punishment learning: Evidence from ERP

The paper investigates how reward and punishment learning differ in uncertain environments using EEG and Bayesian modeling, finding faster belief updates under punishment but no behavioral benefit.

Neural coding of choice and outcome are modulated by uncertainty in orbitofrontal but not secondary motor cortex

The paper investigates how uncertainty modulates neural coding of choice and outcome in orbitofrontal (OFC) and secondary motor cortex (M2) during reward learning, finding differential roles in encoding under varying uncertainty levels.

Arousal increases locus coeruleus blood flow, salience-related brain responses, and modulates negative-valence attentional biases

This study shows that arousal increases locus coeruleus blood flow and modulates brain responses to negative-valence stimuli, while the amygdala shows valence-general responses.

Apathy as a Loss of Prior Precision on Action Outcomes

This study investigates apathy as a reduction in prior precision of action outcome beliefs, finding a negative correlation between prior precision and apathy in healthy adults.

Optogenetic inhibition reveals distinct contributions of medial prefrontal cortex to intertemporal choice in young and aged rats

This study uses optogenetic inhibition to examine how medial prefrontal cortex influences intertemporal choice in young and aged rats, finding age-specific effects on reward preference.

Acute stress impairs target enhancement rather than distractor suppression in attention selection: Evidence from the N2pc and PD

This study investigates how acute stress affects attention selection by comparing target enhancement and distractor suppression using event-related potentials and a visual search task.

Neural dynamics reveal foraging-like computations in the frontal cortex

This study identifies a neural subspace in primate frontal cortex that tracks foraging-like computations, showing both foraging and reinforcement learning signatures.

Concept Learning Builds Behaviourally Relevant Attentional Templates

The paper shows that concept learning creates attentional templates that guide attention during tasks, with better learning performance leading to faster responses to relevant probes.

Neurometabolic predictors of mental effort in the frontal cortex

The paper identifies neurometabolic predictors of mental effort in the frontal cortex using 1H-MRS and machine learning.

Single-Neuron Encoding of Learnability in the Dorsal Anterior Cingulate Cortex

The paper shows that neurons in the dorsal anterior cingulate cortex encode the ability to detect learnable associations in a task involving transitive inference.

Relationships between GABA+ and Glx concentrations with age and inhibition in healthy older adults

This study examines age-related changes in GABA+ and Glx concentrations and their associations with inhibition tasks in healthy older adults, finding no significant age-related changes but a significant negative relationship between SM1 Glx and go/no-go error rates.