AudioPred Forutsigelse av lyd i menneskehjernen

• Asko, Olgerta; Volehaugen, Vegard Akselsson; Llorens, Ana?s; Funderud, Ingrid; Leske, Sabine Liliana & Ivanovic, Jugoslav [Vis alle 13 forfattere av denne artikkelen] (2025). Predictive encoding of auditory sequences in the human prefrontal cortex. bioRxiv - the preprint server for biology. doi: 10.1101/2025.08.22.671264. Fulltekst i vitenarkiv Vis sammendrag

  Abstract Humans extract regularities from the environment to form expectations that guide perception and optimize behavior. Although the prefrontal cortex (PFC) is central to this process, the relative contributions of orbitofrontal (OFC) and lateral PFC (LPFC) remain unclear. Here, we show that the brain tracks sound regularities in an auditory deviance detection task to predict when a target deviant will occur. Intracranial EEG in epilepsy patients reveals prefrontal engagement, with earlier expectancy-related modulation in OFC and later modulation in LPFC. Connectivity analyses indicate bidirectional and asymmetrical expectancy-related information exchange between the two areas, with a first lead by OFC, consistent with its role in initiating predictive encoding. Converging causal evidence shows that OFC lesions abolish sensitivity to expectancy, whereas LPFC lesions yield only modest effects not significantly different from controls. Together, these results provide electrophysiological and causal evidence for distinct, temporally organized contributions of prefrontal subregions to predictive processing. Significance Statement The human brain builds probabilistic associations capturing the dynamic environmental structure in a predictive manner. The ability to encode and deploy predictive information to anticipate future events relies on the prefrontal cortex (PFC). However, the specific roles of PFC subregions in this process remain unclear. Here, we provide converging electrophysiological and causal lesion evidence on the distinct involvement of the orbital and lateral PFC in generating anticipatory neural signals based on probabilistic auditory structure.

• Leske, Sabine Liliana; Endestad, Tor; Volehaugen, Vegard Akselsson; Foldal, Maja Dyhre; Blenkmann, Alejandro Omar & Solbakk, Anne-Kristin [Vis alle 7 forfattere av denne artikkelen] (2025). Beta oscillations predict the envelope sharpness in a rhythmic beat sequence. Scientific Reports. 15(1). doi: 10.1038/s41598-025-86895-y. Fulltekst i vitenarkiv Vis sammendrag

  Periodic sensory inputs entrain oscillatory brain activity, reflecting a neural mechanism that might be fundamental to temporal prediction and perception. Most environmental rhythms and patterns in human behavior, such as walking, dancing, and speech do not, however, display strict isochrony but are instead quasi-periodic. Research has shown that neural tracking of speech is driven by modulations of the amplitude envelope, especially via sharp acoustic edges, which serve as prominent temporal landmarks. In the same vein, research on rhythm processing in music supports the notion that perceptual timing precision varies systematically with the sharpness of acoustic onset edges, conceptualized in the beat bin hypothesis. Increased envelope sharpness induces increased precision in localizing a sound in time. Despite this tight relationship between envelope shape and temporal processing, it is currently unknown how the brain uses predictive information about envelope features to optimize temporal perception. With the current EEG study, we show that the predicted sharpness of the amplitude envelope is encoded by pre-target neural activity in the beta band (15¨C25 Hz), and has an impact on the temporal perception of target sounds. We used probabilistic sound cues in a timing judgment task to inform participants about the sharpness of the amplitude envelope of an upcoming target sound embedded in a beat sequence. The predictive information about the envelope shape modulated task performance and pre-target beta power. Interestingly, these conditional beta-power modulations correlated positively with behavioral performance in the timing judgment task and with perceptual temporal precision in a click-alignment task. This study provides new insight into the neural processes underlying prediction of the sharpness of the amplitude envelope during beat perception, which modulate the temporal perception of sounds. This finding could reflect a process that is involved in temporal prediction, exerting top-down control on neural entrainment via the prediction of acoustic edges in the auditory stream.

• Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, P?l Gunnar; Bekinschtein, Tristan & Kochen, Silvia [Vis alle 11 forfattere av denne artikkelen] (2025). Direct brain recordings reveal implicit encoding of structure in random auditory streams. Scientific Reports. 15. doi: 10.1038/s41598-025-98865-5. Fulltekst i vitenarkiv Vis sammendrag

  The brain excels at processing sensory input, even in rich or chaotic environments. Mounting evidence attributes this to sophisticated internal models of the environment that draw on statistical structures in the unfolding sensory input. Understanding how and where such modeling proceeds is a core question in statistical learning and predictive processing. In this context, we address the role of transitional probabilities as an implicit structure supporting the encoding of the temporal structure of a random auditory stream. Leveraging information-theoretical principles and the high spatiotemporal resolution of intracranial electroencephalography, we analyzed the trial-by-trial high-frequency activity representation of transitional probabilities. This unique approach enabled us to demonstrate how the brain automatically and continuously encodes structure in random stimuli and revealed the involvement of a network outside of the auditory system, including hippocampal, frontal, and temporal regions. Our work provides a comprehensive picture of the neural correlates of automatic encoding of implicit structure that can be the crucial substrate for the swift detection of patterns and unexpected events in the environment.

• Weber, Jan; Solbakk, Anne-Kristin; Blenkmann, Alejandro Omar; Anais, Llorens; Funderud, Ingrid & Leske, Sabine Liliana [Vis alle 11 forfattere av denne artikkelen] (2024). Ramping dynamics and theta oscillations reflect dissociable signatures during rule-guided human behavior. Nature Communications. 15(1). doi: 10.1038/s41467-023-44571-7. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Anais, Llorens; Lin, Jack J.; Chang, Edward F. & Brunner, Peter [Vis alle 12 forfattere av denne artikkelen] (2024). Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods. Journal of Neuroscience Methods. ISSN 0165-0270. 404. doi: 10.1016/j.jneumeth.2024.110056. Fulltekst i vitenarkiv
• Comstock, Lindy; Carvalho, Vinicius Rezende; Lainscsek, Claudia; Fallah, Aria & Sejnowski, Terrence J. (2024). Transcranial Magnetic Stimulation Facilitates Neural Speech Decoding. Brain Sciences. doi: 10.3390/brainsci14090895. Fulltekst i vitenarkiv
• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Doelling, Keith & Solbakk, Anne-Kristin [Vis alle 7 forfattere av denne artikkelen] (2024). Rhythm-based Temporal Expectations: Unique Contributions of Predictability and Periodicity. Journal of Cognitive Neuroscience. ISSN 0898-929X. doi: 10.1162/jocn_a_02261. Fulltekst i vitenarkiv Vis sammendrag

  Anticipating events and focusing attention accordingly are crucial for navigating our dynamic environment. Rhythmic patterns of sensory input offer valuable cues for temporal expectations and facilitate perceptual processing. Rhythm-based temporal expectations may rely on oscillatory entrainment, where neural activity and perceptual sensitivity synchronize with periodic stimuli. However, whether entrainment models can account for aperiodic predictable rhythms remains unclear. Our study aimed to delineate the distinct roles of predictability and periodicity in rhythm-based expectations. Participants performed a pitch-identification task preceded by periodic predictable, aperiodic predictable, or aperiodic unpredictable temporal sequences. By manipulating the temporal position of the target sound, we observed how auditory perceptual performance was modulated by the target position's relative phase relationship to the preceding sequences. Results revealed a significant performance advantage for predictable sequences, both periodic and aperiodic, compared with unpredictable ones. However, only the periodic sequence induced an entrained modulation pattern, with performance peaking in synchrony with the inherent sequence continuation. Event-related brain potentials corroborated these findings. The target-evoked P3b, possibly a neural marker of attention allocation, mirrored the behavioral performance patterns. This supports our hypothesis that temporal attention guided by rhythm-based expectations modulates perceptual performance. Furthermore, the predictive sequences were associated with enhanced target-preceding negativity (akin to the contingent negative variation), indicating enhanced target preparation. The periodic-specific modulation likely reflects more precise temporal expectations, potentially involving neural entrainment and/or more focused attention. Our findings suggest that predictability and periodicity influence perception through distinct mechanisms.

• Asko, Olgerta; Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Foldal, Maja Dyhre; Anais, Llorens & Funderud, Ingrid [Vis alle 10 forfattere av denne artikkelen] (2024). Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex. eLIFE. 13. doi: 10.7554/eLife.86386. Fulltekst i vitenarkiv
• Carvalho, Vinicius Rezende; Mendes, Eduardo Mazoni; Fallah, Aria; Sejnowski, Terrence J.; Comstock, Lindy & Lainscsek, Claudia (2024). Decoding imagined speech with delay differential analysis. Frontiers in Human Neuroscience. 18. doi: 10.3389/fnhum.2024.1398065. Fulltekst i vitenarkiv
• Weber, Jan; Iwama, Gabriela; Solbakk, Anne-Kristin; Blenkmann, Alejandro Omar; Larsson, P?l Gunnar & Ivanovic, Jugoslav [Vis alle 9 forfattere av denne artikkelen] (2023). Subspace partitioning in the human prefrontal cortex resolves cognitive interference. Proceedings of the National Academy of Sciences of the United States of America (PNAS). ISSN 0027-8424. 120(28). doi: 10.1073/pnas.2220523120. Fulltekst i vitenarkiv Vis sammendrag

  The human prefrontal cortex (PFC) constitutes the structural basis underlying flexible cognitive control, where mixed-selective neural populations encode multiple task features to guide subsequent behavior. The mechanisms by which the brain simultaneously encodes multiple task¨Crelevant variables while minimizing interference from task-irrelevant features remain unknown. Leveraging intracranial recordings from the human PFC, we first demonstrate that competition between coexisting representations of past and present task variables incurs a behavioral switch cost. Our results reveal that this interference between past and present states in the PFC is resolved through coding partitioning into distinct low-dimensional neural states; thereby strongly attenuating behavioral switch costs. In sum, these findings uncover a fundamental coding mechanism that constitutes a central building block of flexible cognitive control.

• Anais, Llorens; Bellier, Ludovic; Blenkmann, Alejandro Omar; Ivanovic, Jugoslav; Larsson, P?l Gunnar & Lin, Jack J. [Vis alle 9 forfattere av denne artikkelen] (2023). Decision and response monitoring during working memory are sequentially represented in the human insula. iScience. 26(10). doi: 10.1016/j.isci.2023.107653. Fulltekst i vitenarkiv Vis sammendrag

  Emerging research supports a role of the insula in human cognition. Here, we used intracranial EEG to investigate the spatiotemporal dynamics in the insula during a verbal working memory (vWM) task. We found robust effects for theta, beta, and high frequency activity (HFA) during probe presentation requiring a decision. Theta band activity showed differential involvement across left and right insulae while sequential HFA modulations were observed along the anteroposterior axis. HFA in anterior insula tracked decision making and subsequent HFA was observed in posterior insula after the behavioral response. Our results provide electrophysiological evidence of engagement of different insula subregions in both decision-making and response monitoring during vWM and expand our knowledge of the role of the insula in complex human behavior.

• Lainscsek, Claudia; Salami, Pariya; Carvalho, Vinicius Rezende; Mendes, Eduardo Mazoni; Fan, Miaolin & Cash, Sydney [Vis alle 7 forfattere av denne artikkelen] (2023). Network-motif delay differential analysis of brain activity during seizures. Chaos. ISSN 1054-1500. 33(12). doi: 10.1063/5.0165904. Fulltekst i vitenarkiv Vis sammendrag

  Delay Differential Analysis (DDA) is a nonlinear method for analyzing time series based on principles from nonlinear dynamical systems. DDA is extended here to incorporate network aspects to improve the dynamical characterization of complex systems. To demonstrate its effectiveness, DDA with network capabilities was first applied to the well-known R?ssler system under different parameter regimes and noise conditions. Network-motif DDA, based on cortical regions, was then applied to invasive intracranial electroencephalographic data from drug-resistant epilepsy patients undergoing presurgical monitoring. The directional network motifs between brain areas that emerge from this analysis change dramatically before, during, and after seizures. Neural systems provide a rich source of complex data, arising from varying internal states generated by network interactions.

• Fuhrer, Julian; Glette, Kyrre; Anais, Llorens; Endestad, Tor; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2023). Quantifying evoked responses through information-theoretical measures. Frontiers in Neuroinformatics. 17. doi: 10.3389/fninf.2023.1128866. Fulltekst i vitenarkiv Vis sammendrag

  Information theory is a viable candidate to advance our understanding of how the brain processes information generated in the internal or external environment. With its universal applicability, information theory enables the analysis of complex data sets, is free of requirements about the data structure, and can help infer the underlying brain mechanisms. Information-theoretical metrics such as Entropy or Mutual Information have been highly beneficial for analyzing neurophysiological recordings. However, a direct comparison of the performance of these methods with well-established metrics, such as the t- test, is rare. Here, such a comparison is carried out by evaluating the novel method of Encoded Information with Mutual Information, Gaussian Copula Mutual Information, Neural Frequency Tagging, and t -test. We do so by applying each method to event-related potentials and event-related activity in different frequency bands originating from intracranial electroencephalography recordings of humans and marmoset monkeys. Encoded Information is a novel procedure that assesses the similarity of brain responses across experimental conditions by compressing the respective signals. Such an information-based encoding is attractive whenever one is interested in detecting where in the brain condition effects are present.

• Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Ivanovic, Jugoslav; Larsson, P?l Gunnar; Knight, Robert Thomas & Endestad, Tor (2022). Modeling intracranial electrodes. A simulation platform for the evaluation of localization algorithms. Frontiers in Neuroinformatics. 16, s. 1¨C20. doi: 10.3389/fninf.2022.788685. Fulltekst i vitenarkiv Vis sammendrag

  Introduction Intracranial electrodes are implanted in patients with drug-resistant epilepsy as part of their pre-surgical evaluation. This allows the investigation of normal and pathological brain functions with excellent spatial and temporal resolution. The spatial resolution relies on methods that precisely localize the implanted electrodes in the cerebral cortex, which is critical for drawing valid inferences about the anatomical localization of brain function. Multiple methods have been developed to localize the electrodes, mainly relying on pre-implantation MRI and post-implantation computer tomography (CT) images. However, they are hard to validate because there is no ground truth data to test them and there is no standard approach to systematically quantify their performance. In other words, their validation lacks standardization. Our work aimed to model intracranial electrode arrays and simulate realistic implantation scenarios, thereby providing localization algorithms with new ways to evaluate and optimize their performance. Results We implemented novel methods to model the coordinates of implanted grids, strips, and depth electrodes, as well as the CT artifacts produced by these. We successfully modeled realistic implantation scenarios, including different sizes, inter-electrode distances, and brain areas. In total, ¡«3,300 grids and strips were fitted over the brain surface, and ¡«850 depth electrode arrays penetrating the cortical tissue were modeled. Realistic CT artifacts were simulated at the electrode locations under 12 different noise levels. Altogether, ¡«50,000 thresholded CT artifact arrays were simulated in these scenarios, and validated with real data from 17 patients regarding the coordinates¡¯ spatial deformation, and the CT artifacts¡¯ shape, intensity distribution, and noise level. Finally, we provide an example of how the simulation platform is used to characterize the performance of two cluster-based localization methods. Conclusion We successfully developed the first platform to model implanted intracranial grids, strips, and depth electrodes and realistically simulate thresholded CT artifacts and their noise. These methods provide a basis for developing more complex models, while simulations allow systematic evaluation of the performance of electrode localization techniques. The methods described in this article, and the results obtained from the simulations, are freely available via open repositories. A graphical user interface implementation is also accessible via the open-source iElectrodes toolbox.

• Fuhrer, Julian; Blenkmann, Alejandro Omar; Endestad, Tor; Solbakk, Anne-Kristin & Glette, Kyrre (2022). Complexity-based Encoded Information Quantification in Neurophysiological Recordings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). s. 2319¨C2323. doi: 10.1109/EMBC48229.2022.9871501. Fulltekst i vitenarkiv Vis sammendrag

  Brain activity differs vastly between sleep, cognitive tasks, and action. Information theory is an appropriate concept to analytically quantify these brain states. Based on neurophysiological recordings, this concept can handle complex data sets, is free of any requirements about the data structure, and can infer the present underlying brain mechanisms. Specifically, by utilizing algorithmic information theory, it is possible to estimate the absolute information contained in brain responses. While current approaches that apply this theory to neurophysiological recordings can discriminate between different brain states, they are limited in directly quantifying the degree of similarity or encoded information between brain responses. Here, we propose a method grounded in algorithmic information theory that affords direct statements about responses' similarity by estimating the encoded information through a compression-based scheme. We validated this method by applying it to both synthetic and real neurophysiological data and compared its efficiency to the mutual information measure. This proposed procedure is especially suited for task paradigms contrasting different event types because it can precisely quantify the similarity of neuronal responses.

Se alle arbeider i NVA

• Blenkmann, Alejandro Omar (2025). iElectrodes Toolbox: Fast, Robust, and Open-Source Localization of Intracranial Electrodes. doi: https:/cuttingeeg.org/practicalmeeg2025/bouquet/. Fulltekst i vitenarkiv Vis sammendrag

  Precise anatomical localization of intracranial electrodes is crucial for interpreting invasive recordings in clinical and cognitive neuroscience research. The open-source iElectrodes toolbox offers a fast, semi-automated, and robust solution for localizing subdural grids, depth electrodes, and strips from MRI and CT images, supporting automatic anatomical labeling. iElectrodes was initially introduced in Blenkmann et al. (2017), and has been updated with major methodological innovations in Blenkmann et al. (2024). To date, it has >2000 downloads. In this 90-minute session, I will first provide an introductory lecture on the core functionalities of iElectrodes, including image pre-processing steps, semi-automatic electrode localization, brain shift compensation, and standardized anatomical registration. We will cover the recent major upgrades to the toolbox: the GridFit algorithm for robust localization of SEEG and ECoG electrodes under challenging conditions (e.g., noise, overlaps, and high-density implants), and CEPA (Combined Electrode Projection Algorithm) for smooth compensation methods for grids, addressing brain deformations based on mechanical modeling principles. These developments significantly enhanced the robustness and precision of intracranial electrode localization. In the second part of the session, we will move into a hands-on tutorial, where participants will learn how to use the toolbox through practical exercises. Using real patient datasets (anonymized), we will cover: ? Preprocessing MRI and CT images. ? Semi-automatic detection and localization of electrode coordinates using clustering and GridFit algorithms. ? Brain shift correction using CEPA. ? Automatic anatomical labeling of electrodes. ? Generation of an iElectrodes localization project file. ? Exporting electrode coordinates into formats compatible with Fieldtrip, EEGLAB, and text reports. ? Integration with further analysis workflows. This session is intended for both clinical and cognitive neuroscience research users working with SEEG or ECoG. Attendees will leave with practical skills for reliable and reproducible electrode localization, ready to apply to their own datasets.

• Blenkmann, Alejandro Omar (2025). Auditory Prediction and Its Neural Correlates. doi: https:/csan2025.saneurociencias.org.ar/symposia/neurophysiological-bases-of-memory-consciousness-and-interoception-in-humans-from-the-neuron-to-neural-networks/. Fulltekst i vitenarkiv Vis sammendrag

  This panel presents research on the neural mechanisms underlying auditory prediction¡ªa fundamental process for the perception of sound, language, and music. Evidence is presented on how the brain anticipates and processes auditory stimuli through neural networks that integrate prior sensory information, thereby facilitating the interpretation of speech and complex musical structures. Using neurophysiological and neuroimaging studies, researchers have identified the neural correlates of auditory prediction in regions such as the auditory cortex and areas involved in memory and attention. Additionally, computational models are analyzed to explain how the brain dynamically adjusts its expectations in response to variations in auditory stimuli.

• H¨¹benette, Saira Jameela; Solbakk, Anne-Kristin; Danielsen, Anne; Endestad, Tor & Blenkmann, Alejandro Omar (2025). Hearing in motion: Spatial and temporal processing of auditory stimuli. doi: https:/www.dropbox.com/scl/fi/ijya3kj1w1dl2e7vyjo5y/ICAC25-poster.pdf?rlkey=2516eohjz9vyx3g7qj7rjsedc&st=wm335i35&dl=0. Fulltekst i vitenarkiv Vis sammendrag

  Tracking a moving sound in space requires continuous prediction of its next location. This implies that we must combine information about the time and location of the sound, to accurately predict its trajectory. Using EEG, auditory motion processing has previously been found in frontal, central, and parietal areas of the brain. Prior studies have suggested that space and time for auditory stimuli are processed separately in the brain. Despite the seemingly distinct processing pathways of spatial and temporal sound information, they must integrate at some stage to enable the prediction of movement. It remains unknown if these processes are initially working in parallel and then converging at some point, or if there are several instances of convergence throughout. The goal of this study was to delineate the neural correlates of spatial and temporal processing of moving sounds, and to assess how and when they converge to aid in the tracking of the sound movement.

• Carvalho, Vin¨ªcius Rezende (2025). Speech decoding with DDA. doi: https:/snl.salk.edu/~claudia/DDALAB/workshop.html. Fulltekst i vitenarkiv
• Carvalho, Vin¨ªcius Rezende; Collavini, Santiago; Nasimbera, Alejandro; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2025). Single-Neuron Evidence for Attention and Prediction Error to Nested Auditory Regularities in the Human Auditory Cortex. doi: https:/2025.ccneuro.org/abstract_pdf/Carvalho_2025_Single-Neuron_Evidence_Attention_Prediction_Error_.pdf. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2025). The role of the Orbitoforontal cortex in building predictions and detecting violations. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Volehaugen, Vegard Akselsson; Carvalho, Vinicius Rezende; Kochen, Silvia & Endestad, Tor [Vis alle 10 forfattere av denne artikkelen] (2025). Intracranial high-frequency activity and oscillatory cortical dynamics of auditory prediction error propagation in humans. doi: https:/www.maastrichtuniversity.nl/file/icac2025abstracts-2025-09-11pdf. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Volehaugen, Vegard Akselsson; Carvalho, Vinicius Rezende; Kochen, Silvia & Endestad, Tor [Vis alle 8 forfattere av denne artikkelen] (2025). Spatiotemporal dynamics of auditory prediction error propagation via intracranial EEG in humans. doi: https:/www.frm2025oslo.no/s/FRM2025_AbstractBook.pdf. Fulltekst i vitenarkiv
• Carvalho, Vinicius Rezende; Collavini, Santiago; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2025). Amygdala Responses to Auditory Prediction Violations: Evidence from Human Single-Neuron Recordings. doi: https:/static1.squarespace.com/static/66795375ff6aa75dff1c9eac/t/685e37792a21147062408469/1751005079975/FRM2025_AbstractBook.pdf. Fulltekst i vitenarkiv
• Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Lubell, Jamie; Llorens, Ana?s; Larsson, P?l Gunnar & Funderud, Ingrid [Vis alle 12 forfattere av denne artikkelen] (2025). INTRACRANIAL CORRELATES OF ACTION-BASED AUDITORY PREDICTION ERRORS IN HUMANS. Fulltekst i vitenarkiv
• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Doelling, Keith & Solbakk, Anne-Kristin [Vis alle 7 forfattere av denne artikkelen] (2024). Rhythm-based temporal expectations: Unique contributions of predictability and periodicity. Fulltekst i vitenarkiv Vis sammendrag

  Flexibly adapting to our dynamic surroundings requires anticipating upcoming events and focusing our attention accordingly. Rhythmic patterns of sensory input offer valuable cues for these temporal expectations and facilitate perceptual processing. However, a gap in understanding persists regarding how rhythms outside of periodic structures influence perception. Our study aimed to delineate the distinct roles of predictability and periodicity in rhythm-based expectations. Participants completed a pitch-identification task preceded by different rhythm types: periodic predictable, aperiodic predictable, and aperiodic unpredictable. By manipulating the timing of the target sound, we observed how auditory sensitivity was modulated by the target position in the different rhythm conditions. The results revealed a clear behavioral benefit of predictable rhythms, regardless of their periodicity. Interestingly, we also observed an additional effect of periodicity. While both periodic and aperiodic predictable rhythms improved overall sensitivity, only the periodic rhythm seemed to induce an entrained sensitivity pattern, wherein sensitivity peaked in synchrony with the expected continuation of the rhythm. The recorded event-related brain potentials further supported these findings. The target-evoked P3b, possibly a neural marker of attention allocation, mirrored the sensitivity patterns. This supports our hypothesis that perceptual sensitivity is modulated by temporal attention guided by rhythm-based expectations. Furthermore, the effect of rhythm predictability seems to operate through climbing neural activity (similar to the CNV), reflecting preparation for the target. The effect of periodicity is likely related to more precise temporal expectations and could possibly involve neural entrainment. Our findings suggest that predictability and periodicity influence perception via distinct mechanisms.

• Carvalho, Vinicius Rezende (2024). Da trajet¨®ria acad¨ºmica ¨¤ experi¨ºncia no exterior (From academic trajectory to experience abroad). Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Volehaugen, Vegard Akselsson; Carvalho, Vinicius Rezende; Leske, Sabine Liliana; Llorens, Anais & Funderud, Ingrid [Vis alle 14 forfattere av denne artikkelen] (2024). An intracranial EEG study on auditory deviance detection. Fulltekst i vitenarkiv
• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Doelling, Keith & Solbakk, Anne-Kristin [Vis alle 7 forfattere av denne artikkelen] (2024). Rhythm-based temporal expectations: Unique contributions of predictability and periodicity. Fulltekst i vitenarkiv
• Basi¨½ski, Krzysztof; Dom?alski, Tomasz & Blenkmann, Alejandro Omar (2024). The effect of harmonicity on mismatch negativity responses to different auditory features. Fulltekst i vitenarkiv
• Carvalho, Vinicius Rezende; Collavini, Santiago; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2024). Human single-neuron responses to a local-global oddball paradigm. Fulltekst i vitenarkiv
• Asko, Olgerta; Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingrid; Llorens, Ana?s & Ivanovic, Jugoslav [Vis alle 12 forfattere av denne artikkelen] (2024). Predictive encoding of deviant tone sequences in the human prefrontal cortex. Fulltekst i vitenarkiv
• Asko, Olgerta; Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingrid; Anais, Llorens & Ivanovic, Jugoslav [Vis alle 12 forfattere av denne artikkelen] (2024). Predictive encoding of deviant tone sequences in the human prefrontal cortex. Fulltekst i vitenarkiv Vis sammendrag

  The ability to use predictive information to guide perception and action relies heavily on the prefrontal cortex (PFC), yet the involvement of its subregions in predictive processes remains unclear. Recent perspectives propose that the orbitofrontal cortex (OFC) generates predictions about perceptual events, actions, and their outcomes while the lateral prefrontal cortex (LPFC) is involved in prospective functions, which support predictive processes, such as selective attention, working memory, response preparation or inhibition. To further delineate the roles of these PFC areas in predictive processing, we investigated whether lesions would impair the ability to build predictions of future events and detect deviations from expected regularities. We used an auditory deviance detection task, in which the structural regularities of played tones were controlled at two hierarchical levels by rules defined at a local (i.e., between tones within sequences) and global (i.e., between sequences) level. We have recently shown that OFC lesions affect detecting prediction violations at two hierarchical levels of rule abstraction, i.e., altered MMN and P3a to local and simultaneous local + global prediction violations (https://doi.org/10.7554/eLife.86386). Now, we focus on the task's predictive aspect and present the latest results showing the involvement of PFC subregions in anticipation of deviances informed by implicit predictive information. Behavioral data shows that deviance expectancy induced faster deviance detection in healthy adults (n=22), suggesting that participants track a state space representation of the task and anticipate upcoming deviant sequences. The analysis of EEG data from patients with focal lesions to the OFC (n = 12) or LPFC (n = 10), and SEEG from the same areas in patients with epilepsy (n = 7), revealed interesting differences. Healthy adults (n = 15) showed modulations of the Contingent Negative Variation (CNV) ¨C a marker of anticipatory activity - tracking the expectancy of deviant tone sequences. However, patients with OFC lesions lacked CNV sensitivity to the predictive context, while patients with LPFC lesions showed moderate sensitivity compared to healthy adults. These results were further supported by intracranial recordings, which revealed expectancy modulation of the high-frequency broadband signal from electrodes in OFC and LPFC, with an earlier latency of activity modulation for the OFC and a later one for the LPFC. Altogether, the complementary approach from behavioral, intracerebral EEG, scalp EEG, and causal lesion data provides compelling evidence for the distinct engagement of the two prefrontal areas in predicting future events and signaling deviations.

• Blenkmann, Alejandro Omar (2024). Current challenges in human EEG/iEEG/SUA. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Llorens, Ana?s; Lin, Jack J.; Chang, Edward & Brunner, Peter [Vis alle 12 forfattere av denne artikkelen] (2024). Novel tools for the anatomical registration of intracranial electrodes. Fulltekst i vitenarkiv
• Carvalho, Vinicius Rezende; Collavini, Santiago; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2024). Single-neuron responses to a multifeature oddball paradigm. Fulltekst i vitenarkiv
• Solbakk, Anne-Kristin; Hope, Mikael; Solli, Sandra; Leske, Sabine Liliana; Foldal, Maja Dyhre & Blenkmann, Alejandro Omar (2024). Research seminar. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2024). The role of the Orbitofrontal Cortex in building predictions and detecting violations. Fulltekst i vitenarkiv
• Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingerid; Carvalho, Vinicius Rezende; Endestad, Tor & Solbakk, Anne-Kristin [Vis alle 7 forfattere av denne artikkelen] (2024). Unheard Surprises: Attention-Dependent Neocortical Dynamics Following Unexpected Omissions Revealed by Intracranial EEG. Fulltekst i vitenarkiv
• Leske, Sabine Liliana; Endestad, Tor; Volehaugen, Vegard Akselsson; Foldal, Maja Dyhre; Blenkmann, Alejandro Omar & Solbakk, Anne-Kristin [Vis alle 7 forfattere av denne artikkelen] (2024). Predicting the Beat Bin: Beta Oscillations Predict the Envelope Sharpness in a Rhythmic Sequence. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2024). Electrophysiological correlates of auditory regularity expectations and violations at short and long temporal scales: Studies in intracranial EEG and prefrontal cortex lesion patients. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Llorens, Anais; Lin, Jack J.; Chang, Edward & Brunner, Peter [Vis alle 12 forfattere av denne artikkelen] (2024). Anatomical registration of intracranial electrodes. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2024). Audiopred Project: Neurophysiological mechanisms of auditory predictions. Fulltekst i vitenarkiv
• Asko, Olgerta; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Meling, Torstein Ragnar; Knight, Robert T. & Endestad, Tor [Vis alle 7 forfattere av denne artikkelen] (2023). The orbitofrontal cortex (OFC) has a critical role in the generation of high-level expectations. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar & Agrawal, Rahul Omprakash (2023). Intracranial Electrode Localization workshop. Fulltekst i vitenarkiv
• Leske, Sabine Liliana; Endestad, Tor; Volehaugen, Vegard; Foldal, Maja Dyhre; Blenkmann, Alejandro Omar & Solbakk, Anne-Kristin [Vis alle 7 forfattere av denne artikkelen] (2023). Predicting the Beat Bin ¨C Beta Oscillations Support Top-Down Prediction of The Temporal Precision of a Beat. Fulltekst i vitenarkiv
• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin & Endestad, Tor (2023). Periodic vs Aperiodic Temporal Predictions: Shared or Separate Mechanisms? Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Ianni, Pablo & Verdugo, Rodrigo (2023). Interview for TV show "Salud en Movimiento", Radio Television Neuqu¨¦n. [TV]. Neuquen, Argentina. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar & Puppio, Daniel (2023). Interview at "La Ma?ana de la Radio" FM 97.3. [Radio]. Neuquen, Argentina. Fulltekst i vitenarkiv
• Carvalho, Vinicius Rezende; Mendes, Eduardo Mazoni; Cash, Sydney & Moraes, M¨¢rcio (2023). Auditory steady-state responses with stereoelectroencephalography: distribution and relation to seizure onset zone. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2023). Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex - Quantifying Evoked Responses through Encoded Information. Fulltekst i vitenarkiv
• Fuhrer, Julian & Torgersen, Eivind (2023). Hjernen din pr?ver ? finne mening selv i tilfeldig st?y. [Internet]. Teknisk Ukeblad. Fulltekst i vitenarkiv
• Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin & Endestad, Tor (2023). Both periodic and aperiodic rhythms facilitate perceptual processing. Fulltekst i vitenarkiv
• Carvalho, Vinicius Rezende; Collavini, Santiago; Kochen, Silvia; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2023). Single-neuron responses to a multifeature oddball paradigm. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2023). Neurophysiological Mechanisms of Human Auditory Predictions: From population- to single neuron recordings. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Asko, Olgerta; Volehaugen, Vegard; Foldal, Maja Dyhre; Solli, Sandra & Leske, Sabine Liliana [Vis alle 9 forfattere av denne artikkelen] (2023). Auditory perception, memory, and predictions. Fulltekst i vitenarkiv
• Solbakk, Anne-Kristin; Blenkmann, Alejandro Omar; Leske, Sabine Liliana & Endestad, Tor (2023). Orbitofrontal lesion impacts formation of auditory expectations. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2023). Expectation and attention in auditory prediction. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2023). Neural correlates of auditory predictions using intracranial EEG. Fulltekst i vitenarkiv Vis sammendrag

  Website https://gumed.edu.pl/76777.html

• Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Llorens, Ana?s; Funderud, Ingrid & Larsson, P?l Gunnar [Vis alle 10 forfattere av denne artikkelen] (2023). Temporal and precentral brain activity in automatic auditory deviance detection. Evidence from human intracranial EEG recordings. Fulltekst i vitenarkiv
• Volehaugen, Vegard; Leske, Sabine Liliana; Funderud, Ingrid; Llorens, Ana?s; Carvalho, Vinicius Rezende & Endestad, Tor [Vis alle 8 forfattere av denne artikkelen] (2023). Echoes of the unheard: An intracranial electrophysiology study of expectation and attention in auditory omission processing. Fulltekst i vitenarkiv
• Asko, Olgerta; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Meling, Torstein Ragnar; Knight, Robert T. & Endestad, Tor [Vis alle 7 forfattere av denne artikkelen] (2023). Orbitofrontal lesion impacts formation of auditory expectations. Fulltekst i vitenarkiv Vis sammendrag

  Current findings of orbitofrontal cortex (OFC) function suggest that this region might have a role in the generation of prediction error signals associated with top-down expectation of upcoming stimuli. We investigated the impact of lesions to the OFC on the Contingent Negative Variation (CNV), an electrophysiological marker of cognitive expectation and time perception. Twelve OFC patients and fifteen healthy controls performed an auditory local-global paradigm while brain electrical activity was recorded. The structural regularities of the tones were controlled at two hierarchical levels by rules defined at a local (i.e., between tones within sequences) level with a short timescale and at a global (i.e., between sequences) level with a longer timescale. At the global level, deviant tone sequences were interspersed among standard tone sequences in a pseudorandom order, rendering some deviant sequences more anticipated than others. We found that healthy controls exhibited CNV build-up before the occurrence of deviant sequences. The CNV drift rate was modulated by the expectancy of deviant sequences (i.e., the higher the expectancy, the higher the CNV drift rate), reflecting their ability to anticipate when a deviant tone sequence would occur. However, patients with OFC lesions did not show CNV drift modulations by the expectancy of the deviant tone sequences, indicating impaired anticipation of these upcoming events. These findings suggest involvement of the OFC in generating auditory expectations based on the contextual and temporal structure of the task.

• Bonetti, Leonardo; Foldal, Maja Dyhre; Leske, Sabine Liliana; Asko, Olgerta; Volehaugen, Vegard Akselsson & Solli, Sandra [Vis alle 7 forfattere av denne artikkelen] (2023). Auditory perception, memory, and predictions. Fulltekst i vitenarkiv
• Volehaugen, Vegard; Leske, Sabine Liliana; Endestad, Tor; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2022). Violation of rule-based auditory patterns is detected independently of attention. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2022). How does the brain process unexpected sounds? Fulltekst i vitenarkiv
• Leske, Sabine Liliana (2022). Phase Amplitude Coupling (PAC). Fulltekst i vitenarkiv Vis sammendrag

  An introduction to the Phase Amplitude Coupling (PAC) measure and how it is applied to EEG data (example code in MATLAB). The caveats of the measure are covered and which sanity checks might be necessary.

• Leske, Sabine Liliana (2022). Inter-Trial Coherence (ITC). Fulltekst i vitenarkiv Vis sammendrag

  An introduction to the inter-trial coherence measure (ITC) and how it is applied to EEG data (with example code/scripts in MATLAB). Furthermore caveats of the measure are discussed along with it's relation to phase opposition measures.

• Leske, Sabine Liliana (2022). Fourier Transform. Fulltekst i vitenarkiv Vis sammendrag

  An introduction to the Fourier transform and how it is applied to EEG data. The short time fourier transform (STFT) and different measures (phase and amplitude) derived from it are explained.

• Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, P?l Gunnar; Bekinschtein, Tristan & Kochen, Silvia [Vis alle 11 forfattere av denne artikkelen] (2022). Direct brain recordings reveal continuous encoding of structure in random stimuli. Fulltekst i vitenarkiv
• Fuhrer, Julian; Blenkmann, Alejandro Omar; Endestad, Tor; Solbakk, Anne-Kristin & Glette, Kyrre (2022). Complexity-Based Encoded Information Quantification in Neurophysiological Recordings. Fulltekst i vitenarkiv
• Asko, Olgerta; Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Foldal, Maja Dyhre; Llorens, Ana?s & Funderud, Ingrid [Vis alle 10 forfattere av denne artikkelen] (2022). Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex. Fulltekst i vitenarkiv Vis sammendrag

  In this study, we tested the causal involvement of the OFC in noticing breaches of predictions (i.e., PEs) at different hierarchical levels of task structural complexity. With this aim, we examined the event-related potentials (ERPs) of patients with focal OFC lesions and healthy adults while performing an auditory local-global oddball paradigm. Altogether, we found that after OFC damage, low-level PEs (i.e., processing of stimuli that are unpredicted at the local level) and combined low- and high-level PEs (i.e., processing of stimuli that are unpredicted at both the local and global level) were impacted. However, the processing of standard tones was not affected. We conclude that the OFC may contribute to a top-down process that modulates the deviance detection system in the primary auditory cortices, and may be involved in connecting PEs at lower hierarchical areas with predictions at higher areas. The study sheds new light on the poorly explored deficits of hierarchical auditory prediction in patients with damaged OFC.

• Blenkmann, Alejandro Omar; Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, P?l Gunnar & Bekinschtein, Tristan [Vis alle 11 forfattere av denne artikkelen] (2022). Direct brain recordings reveal continuous encoding of structure in random stimuli. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Llorens, Ana?s; Funderud, Ingrid & Collavini, Santiago [Vis alle 13 forfattere av denne artikkelen] (2022). Human brain network involved in auditory deviance detection. An intracranial EEG study. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2022). Auditory deviance detection in the human insula. Evidence from intracranial EEG recordings. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2021). Electrode localization in intracranial EEG. From simulations to novel electrode localization and brain-shift correction algorithms. Fulltekst i vitenarkiv
• Blenkmann, Alejandro Omar (2021). Some advances in neuroscience using intracranial EEG recordings. Fulltekst i vitenarkiv
• Asko, Olgerta (2026). Predictive Processing in Human Prefrontal Cortex: Causal Contributions of Orbitofrontal and Lateral Prefrontal Subregions. University of Oslo (UiO). Fulltekst i vitenarkiv Vis sammendrag

  The human brain is not a passive receiver. It is a prediction engine that continuously integrates what has happened with what is happening to anticipate what comes next. This dissertation investigates how orbitofrontal (OFC) and lateral prefrontal (LPFC) subregions causally contribute to hierarchical predictive processing in the auditory domain, within a predictive coding framework. Combining focal lesions with EEG and iEEG, it shows that OFC damage weakens and delays neural responses to local and local+global rule violations and disrupts expectancy-related modulation of anticipatory (CNV) signals, whereas LPFC damage has more modest effects. Intracranial recordings confirm OFC involvement, with expectancy-dependent activity emerging earlier in OFC than LPFC and recurrent cross-talk initiated from OFC to LPFC. Moving beyond simple deviance-detection paradigms, the work targets the hierarchical and anticipatory nature of prediction and separates genuine prediction from repetition-based adaptation. Together, it highlights OFC as a key, previously underexplored region in human predictive processing.

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