Makiko Yamada

Resting-state heartbeat-evoked potentials are associated with Kalman-derived cardiac prediction errors

This study uses a Kalman filter to estimate cardiac prediction errors from resting-state EEG and ECG data and finds they are associated with heartbeat-evoked potential (HEP) amplitude.

A computational account of how positive performance bias supports cognitive effort

The paper shows that positive performance bias reduces the perceived cost of cognitive effort by decreasing sensitivity to effort in learning models.

Dopamine shapes brain metastate dynamics

This study investigates how dopamine affects brain metastate dynamics using a combination of PET, fMRI, and hidden Markov modeling, finding that dopamine shifts the balance between internally oriented and sensorimotor-perceptual brain states.

A neuroimaging dataset during sequential color qualia similarity judgments with and without reports

This paper presents an fMRI dataset capturing color qualia similarity judgments with and without verbal reports from 35 participants.

Superiority illusion in older adults: volume and functional connectivity of the precuneus

This study finds that higher superiority illusion scores in older adults correlate with greater gray matter volume and functional connectivity in the right precuneus compared to younger and middle-aged groups.

Psychometric archetypes reveal biological signatures of vulnerability, resilience, and future mental health

The paper identifies psychometric archetypes in young adults that correlate with biological markers of mental health vulnerability and resilience, improving predictive models for clinical outcomes.

Machine learning unveils latent architecture of superiority illusion that predicts visual illusion perception and metacognitive performance

The paper uses machine learning to uncover how superiority illusion influences visual perception and metacognition, revealing distinct latent dimensions of superiority features.

Neural network of superiority illusion predicts the level of dopamine in striatum

The paper identifies a whole-brain neural network predicting superiority illusion and striatal dopamine levels using resting-state fMRI data.

Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training

This study identifies resting-state brain connectivity patterns that predict individual aptitude in fMRI-neurofeedback training, independent of targeted brain regions.

Resting-state functional connectivity relates to interindividual variations in positive memory

The paper examines how resting-state functional connectivity relates to individual differences in positive memory recollection, identifying a frontotemporal network associated with positive memory performance.

Serotonergic neural network related to behavioral inhibition system

The paper investigates the relationship between behavioral inhibition system scores and 5-HT2A receptor availability in the anterior cingulate cortex, identifying a functional connectivity network involving the left middle frontal gyrus.