AudioPred Forutsigelse av lyd i menneskehjernen

• 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. ISSN 2045-2322. 15(1). doi: 10.1038/s41598-025-98865-5. 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.

• Comstock, Lindy; Rezende Carvalho, Vinicius; Lainscsek, Claudia; Fallah, Aria & Sejnowski, Terrence J. (2024). Transcranial Magnetic Stimulation Facilitates Neural Speech Decoding. Brain Sciences. ISSN 2076-3425. doi: 10.3390/brainsci14090895.
• Rezende Carvalho, Vinicius; Mendes, Eduardo Mazoni; Fallah, Aria; Sejnowski, Terrence J.; Comstock, Lindy & Lainscsek, Claudia (2024). Decoding imagined speech with delay differential analysis. Frontiers in Human Neuroscience. ISSN 1662-5161. 18. doi: 10.3389/fnhum.2024.1398065.
• 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.
• 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. ISSN 2041-1723. 15(1). doi: 10.1038/s41467-023-44571-7.
• 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.
• 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. ISSN 2050-084X. 13. doi: 10.7554/eLife.86386.
• Lainscsek, Claudia; Salami, Pariya; Rezende Carvalho, Vinicius; 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
• 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. ISSN 1662-5196. 17. doi: 10.3389/fninf.2023.1128866. 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
• 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. ISSN 2589-0042. 26(10). doi: 10.1016/j.isci.2023.107653. Fulltekst i vitenarkiv
• 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). ISSN 2694-0604. s. 2319¨C2323. doi: 10.1109/EMBC48229.2022.9871501. 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.

• 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. ISSN 1662-5196. 16, s. 1¨C20. doi: 10.3389/fninf.2022.788685. Fulltekst i vitenarkiv

Se alle arbeider i Cristin

• 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 .
• 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.
• 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.
• Volehaugen, Vegard Akselsson; Leske, Sabine Liliana; Funderud, Ingerid; Rezende Carvalho, Vinicius; 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.
• Blenkmann, Alejandro Omar (2024). Audiopred Project: Neurophysiological mechanisms of auditory predictions.
• Basi¨½ski, Krzysztof; Dom?alski, Tomasz & Blenkmann, Alejandro Omar (2024). The effect of harmonicity on mismatch negativity responses to different auditory features.
• 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. 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 th