Abstract Our brain is constantly extracting, predicting, and recognising key spatiotemporal features of the physical world in order to survive. While neural processing visuospatial patterns has been extensively studied, hierarchical mechanisms underlying conscious recognition auditory sequences associated prediction errors remain elusive. Using magnetoencephalography (MEG), we describe functioning 83 participants during previously memorised musical systematic variations. The results show...

Abstract Auditory recognition is a crucial cognitive process that relies on the organization of single elements over time. However, little known about spatiotemporal dynamics underlying conscious auditory sequences varying in complexity. To study this, we asked 71 participants to learn and recognize simple tonal musical matched complex atonal while their brain activity was recorded using magnetoencephalography (MEG). Results reveal qualitative changes neural dependent stimulus complexity:...

Memory is a complex cognitive process composed of several subsystems, namely short- and long-term memory working (WM). Previous research has shown that adequate interaction between subsystems crucial for successful processes such as encoding, storage, manipulation information. However, few studies have investigated the relationship different at behavioral neural levels. Thus, here we assessed individual WM abilities brain activity underlying recognition previously memorized auditory...

Aging is often associated with decline in brain processing power and neural predictive capabilities. To challenge this notion, we used magnetoencephalography (MEG) magnetic resonance imaging (MRI) to record the whole-brain activity of 39 older adults (over 60 years old) 37 young (aged 18-25 years) during recognition previously memorised varied musical sequences. Results reveal that when recognising sequences, compared reshapes its functional organisation. In fact, it shows increased early...

Cognitive aging is characterized by the gradual decline of a number abilities, such as attention, executive functioning, and memory. Research on memory has reported age-related deficits in short-term (STM), long-term (LTM), working (WM) linked these to structural functional changes brain that occur with aging. However, only few studies have drawn direct comparisons between subsystems auditory domain. In this study, we assessed STM, LTM, WM abilities young (under 25 years age) older (over 60...

Information processing in the human brain can be modeled as a complex dynamical system operating out of equilibrium with multiple regions interacting nonlinearly. Yet, despite extensive study global level nonequilibrium brain, quantifying irreversibility interactions among at levels remains an unresolved challenge. Here, we present Directed Multiplex Visibility Graph Irreversibility framework, method for analyzing neural recordings using network analysis time-series. Our approach constructs...

The brain is a dynamic system whose network organization often studied by focusing on specific frequency bands or anatomical regions, leading to fragmented insights, employing complex and elaborate methods that hinder straightforward interpretations. To address this issue, new analytical pipeline named FREQuency-resolved Network Estimation via Source Separation (FREQ-NESS) introduced. This designed estimate the activation spatial configuration of simultaneous networks across frequencies...

Information processing in the human brain can be modelled as a complex dynamical system operating out of equilibrium with multiple regions interacting nonlinearly. Yet, despite extensive study global level non-equilibrium brain, quantifying irreversibility interactions among at levels remains an unresolved challenge. Here, we present Directed Multiplex Visibility Graph Irreversibility framework, method for analysing neural recordings using network analysis time-series. Our approach...

Abstract As the population of older adults grows, so does prevalence neurocognitive disorders such as mild cognitive impairment (MCI) and dementia. While biochemical, genetic, neuroimaging biomarkers have accelerated early detection diagnosis, neurophysiological measures are absent from daily medical use. Electroencephalography (EEG) magnetoencephalography (MEG) two non-invasive techniques that measure signals in brain convey information about signal strength at different frequency bands,...

The brain is a dynamic system whose network organisation often studied by focusing on specific frequency bands or anatomical regions, leading to fragmented insights, employing complex and elaborate methods that hinder straightforward interpretations. To address this issue, we introduce novel method called FREQuency-resolved Network Estimation via Source Separation (FREQ-NESS). This designed estimate the activation spatial configuration of simultaneous networks across frequencies analysing...

Abstract Memory is a crucial cognitive process involving several subsystems: sensory memory (SM), short-term (STM), working (WM), and long-term (LTM). While each has been extensively studied, the interaction between WM LTM, particularly in relation to predicting temporal sequences, remains largely unexplored. This study investigates relationship how these relate aging musical training. Using three datasets with total of 244 healthy volunteers across various age groups, we examined impact on...

Vividly imagining a song or melody is skill that many people accomplish with relatively little effort. However, we are only beginning to understand how the brain represents, holds, and manipulates these musical "thoughts." Here, decoded perceived imagined melodies from magnetoencephalography (MEG) data (N = 71) characterize their neural representation. We found that, during perception, auditory regions represent sensory properties of individual sounds. In contrast, widespread network...

ABSTRACT This study presents BROADband brain Network Estimation via Source Separation (BROAD- NESS), a novel method tailored for event-related designs, leveraging magnetoencephalography’s (MEG) high temporal and spatial resolution to identify dynamic networks without predefined regions. By applying principal component analysis (PCA) source-reconstructed MEG data from 83 participants in long-term musical sequence recognition task, BROAD-NESS captured more effectively than traditional...

Abstract The interplay between abstraction, learning and memory is crucial for humans to interact with the environment. Abstraction in relation concept formation typically studied Gestalt stimuli varying their physical properties while maintaining abstract internal relations. role of temporal integration recognising concepts has been, however, overlooked even a sensory domain relying on item succession such as audition. Here, we investigated neural mechanisms underlying generalisation over...

Abstract Differently from visual recognition, auditory recognition is a process relying on the organization of single elements that evolve in time. Here, we aimed to discover spatiotemporal dynamics this cognitive function by adopting novel strategy for varying complexity musical sequences. We selected traditional tonal sequences and altered distance between pitches obtain matched atonal then recorded brain activity 71 participants using magnetoencephalography (MEG) while they listened later...

Abstract Memory is a complex cognitive process comprised by several subsystems, namely short- and long-term memory working (WM). Previous research has shown that adequate interaction between subsystems crucial for successful processes such as encoding, storage manipulation of information. However, few studies have investigated the relationship different at behavioral neural levels. Thus, here we assessed individual WM abilities brain activity underlying recognition previously memorized...

Abstract Our brain is constantly extracting, predicting, and recognising key spatiotemporal features of the physical world in order to survive. While neural processing visuospatial patterns has been extensively studied, hierarchical mechanisms underlying conscious recognition auditory sequences associated prediction errors remain elusive. Using magnetoencephalography (MEG), we studied functioning 83 participants during previously memorised musical systematic variations. The results showed...

Abstract Cognitive aging is characterized by a gradual decline in cognitive functioning. One of the most worrying deficits for older adults decreased capacity to memorize and remember new information. In this study, we assessed auditory short-term memory (STM), long-term (LTM), working (WM) abilities young using musical numerical tasks. Additionally, measured training tested whether influences performance. Regarding STM, scored higher than when making same/different judgements rhythmic...

Abstract Aging is often associated with decline in brain processing power and neural predictive capabilities. To challenge this notion, we used the excellent temporal resolution of magnetoencephalography (MEG) to record whole-brain activity 39 older adults (over 60 years old) 37 young (aged 18-25 years) during recognition previously memorised novel musical sequences. Our results demonstrate that independent behavioural measures, compared showed increased rapid auditory cortex responses...

Abstract Vividly imagining a song or melody is skill that many people accomplish with relatively little effort. However, we are only beginning to understand how the brain represents, holds, and manipulates these musical “thoughts”. Here, decoded perceived imagined melodies from magnetoencephalography (MEG) data (N = 71) characterize their neural representation. We found that, during perception, auditory regions represent sensory properties of individual sounds. In contrast, widespread...