Publications by authors named "Manuel Munoz-Caracuel"
The predictive coding theory, although a well-supported framework for understanding brain processing, remains elusive regarding how different brain rhythms contribute to error prediction and modify the a priori probabilities of predictive events. This study addresses this issue by analyzing Event-Related Spectral Perturbations (ERSP) generated during an auditory oddball paradigm presented in both a passive and active condition. The design involved sequences of four tones, where the last tone was either predictable (standard, S), completing the scale, or less predictable (deviant, D) when the first tone was occasionally repeated.
View Article and Find Full Text PDFBiological signals such as respiration (RSP) and heart rate (HR) are oscillatory and physiologically coupled, maintaining homeostasis through regulatory mechanisms. This report models the dynamic relationship between RSP and HR in 45 healthy volunteers at rest. Cross-correlation between RSP and HR was computed, along with regression analysis to predict HR from RSP and its first-order time derivative in continuous signals.
View Article and Find Full Text PDFArticle Synopsis
- The study looks at how our brain and body's rhythms, like our heartbeat and breathing, respond to sounds in different ways.
- Researchers tested this by measuring signals from our nervous systems while people listened to sounds in three different situations: no sound, listening passively, and actively trying to tell the sounds apart.
- They found that when people actively engaged with sounds, their brain and body rhythms synchronized with the music, which helped them react quicker and better.
Background: Studies examining the effects of incorporating patients' preferences into treatment outcomes highlight their impact on crucial aspects such as reduced dropout rates and enhanced effectiveness. Recognizing individuals' rights to participate in decisions about their treatments underscores the importance of studying treatment preferences and the factors influencing these choices.
Aim: This study aims to identify treatment preferences (psychological, pharmacological, or combined) among a sample of patients and to discern the psychosocial and clinical factors influencing these preferences.
Article Synopsis
- - The study investigates how the brain processes auditory information by examining predictive coding, which is the brain's way of anticipating changes and minimizing errors in response to the environment.
- - Using techniques like EEG and fNIRS, researchers analyzed data from 32 participants to see how both passive and active listening influenced brain activity and predictive processes, finding that certain brain responses operate automatically, regardless of conscious attention.
- - Results showed differences in brain activity patterns between passive and active listening, highlighting that the brain reallocates resources depending on context, while conscious perception only triggers specific autonomic responses when responding to surprising sounds.
Intensity-dependent amplitude changes (IDAP) have been extensively studied using event-related potentials (ERPs) and have been linked to several psychiatric disorders. This study aims to explore the application of functional near-infrared spectroscopy (fNIRS) in IDAP paradigms, which related to ERPs could indicate the existence of neurovascular coupling. Thirty-three and thirty-one subjects participated in two experiments, respectively.
View Article and Find Full Text PDFThe present study aims to analyze the systemic response to auditory stimulation by means of hemodynamic (cephalic and peripheral) and autonomic responses in a broad range of auditory intensities (70.9, 77.9, 84.
View Article and Find Full Text PDFNew Findings: What is the central question of this study? Auditory stimulation produces a response in different physiological systems: cardiac, peripheral blood flow, electrodermal, cortical and peripheral haemodynamic responses and auditory event-related potentials. Do all these subsystems covary when responding to auditory stimulation, suggesting a unified locus of control, or do they not covary, suggesting independent loci of control for these physiological responses? What is the main finding and its importance? Auditory sensory gating reached a fixed level of neural activity independently of the intensity of auditory stimulation. The use of multivariate techniques revealed the presence of different regulatory mechanisms for the different physiologically recorded signals.
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