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Hauswald A, Benz KR, Hartmann T, Demarchi G, Weisz N. Carrier-frequency specific omission-related neural activity in ordered sound sequences is independent of omission-predictability. Eur J Neurosci 2024; 60:3812-3820. [PMID: 38711271 DOI: 10.1111/ejn.16381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/20/2024] [Accepted: 04/20/2024] [Indexed: 05/08/2024]
Abstract
Regularities in our surroundings lead to predictions about upcoming events. Previous research has shown that omitted sounds during otherwise regular tone sequences elicit frequency-specific neural activity related to the upcoming but omitted tone. We tested whether this neural response is depending on the unpredictability of the omission. Therefore, we recorded magnetencephalography (MEG) data while participants listened to ordered or random tone sequences with omissions occurring either ordered or randomly. Using multivariate pattern analysis shows that the frequency-specific neural pattern during omission within ordered tone sequences occurs independent of the regularity of the omissions. These results suggest that the auditory predictions based on sensory experiences are not immediately updated by violations of those expectations.
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Affiliation(s)
- Anne Hauswald
- Center of Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
- Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Kaja Rosa Benz
- Center of Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
- Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Thomas Hartmann
- Center of Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
- Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Gianpaolo Demarchi
- Center of Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
- Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Nathan Weisz
- Center of Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
- Department of Psychology, University of Salzburg, Salzburg, Austria
- Neuroscience Institute and Department of Neurology, Christian Doppler Clinic, Paracelsus Private Medical University, Salzburg, Austria
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2
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Badaut J, Hippauf L, Malinconi M, Noarbe BP, Obenaus A, Dubois CJ. Endocannabinoid-mediated rescue of somatosensory cortex activity, plasticity and related behaviors following an early in life concussion. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.30.577914. [PMID: 38352553 PMCID: PMC10862852 DOI: 10.1101/2024.01.30.577914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Due to the assumed plasticity of immature brain, early in life brain alterations are thought to lead to better recoveries in comparison to the mature brain. Despite clinical needs, how neuronal networks and associated behaviors are affected by early in life brain stresses, such as pediatric concussions, have been overlooked. Here we provide first evidence in mice that a single early in life concussion durably increases neuronal activity in the somatosensory cortex into adulthood, disrupting neuronal integration while the animal is performing sensory-related tasks. This represents a previously unappreciated clinically relevant mechanism for the impairment of sensory-related behavior performance. Furthermore, we demonstrate that pharmacological modulation of the endocannabinoid system a year post-concussion is well-suited to rescue neuronal activity and plasticity, and to normalize sensory-related behavioral performance, addressing the fundamental question of whether a treatment is still possible once post-concussive symptoms have developed, a time-window compatible with clinical treatment.
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Affiliation(s)
- J Badaut
- Univ. Bordeaux, CNRS, CRMSB, UMR 5536, F-33000 Bordeaux, France
- Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - L Hippauf
- Univ. Bordeaux, CNRS, CRMSB, UMR 5536, F-33000 Bordeaux, France
| | - M Malinconi
- Univ. Bordeaux, CNRS, CRMSB, UMR 5536, F-33000 Bordeaux, France
| | - B P Noarbe
- Department of Pediatrics, University of California, Irvine, CA, USA
| | - A Obenaus
- Department of Pediatrics, University of California, Irvine, CA, USA
| | - C J Dubois
- Univ. Bordeaux, CNRS, CRMSB, UMR 5536, F-33000 Bordeaux, France
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3
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Valerio P, Rechenmann J, Joshi S, De Franceschi G, Barkat TR. Sequential maturation of stimulus-specific adaptation in the mouse lemniscal auditory system. SCIENCE ADVANCES 2024; 10:eadi7624. [PMID: 38170771 PMCID: PMC10776000 DOI: 10.1126/sciadv.adi7624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024]
Abstract
Stimulus-specific adaptation (SSA), the reduction of neural activity to a common stimulus that does not generalize to other, rare stimuli, is an essential property of our brain. Although well characterized in adults, it is still unknown how it develops during adolescence and what neuronal circuits are involved. Using in vivo electrophysiology and optogenetics in the lemniscal pathway of the mouse auditory system, we observed SSA to be stable from postnatal day 20 (P20) in the inferior colliculus, to develop until P30 in the auditory thalamus and even later in the primary auditory cortex (A1). We found this maturation process to be experience-dependent in A1 but not in thalamus and to be related to alterations in deep but not input layers of A1. We also identified corticothalamic projections to be implicated in thalamic SSA development. Together, our results reveal different circuits underlying the sequential SSA maturation and provide a unique perspective to understand predictive coding and surprise across sensory systems.
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Affiliation(s)
- Patricia Valerio
- Department of Biomedicine, Basel University, 4056 Basel, Switzerland
| | - Julien Rechenmann
- Department of Biomedicine, Basel University, 4056 Basel, Switzerland
| | - Suyash Joshi
- Department of Biomedicine, Basel University, 4056 Basel, Switzerland
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Priovoulos N, de Oliveira IAF, Poser BA, Norris DG, van der Zwaag W. Combining arterial blood contrast with BOLD increases fMRI intracortical contrast. Hum Brain Mapp 2023; 44:2509-2522. [PMID: 36763562 PMCID: PMC10028680 DOI: 10.1002/hbm.26227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/20/2023] [Accepted: 01/26/2023] [Indexed: 02/11/2023] Open
Abstract
BOLD fMRI is widely applied in human neuroscience but is limited in its spatial specificity due to a cortical-depth-dependent venous bias. This reduces its localization specificity with respect to neuronal responses, a disadvantage for neuroscientific research. Here, we modified a submillimeter BOLD protocol to selectively reduce venous and tissue signal and increase cerebral blood volume weighting through a pulsed saturation scheme (dubbed Arterial Blood Contrast) at 7 T. Adding Arterial Blood Contrast on top of the existing BOLD contrast modulated the intracortical contrast. Isolating the Arterial Blood Contrast showed a response free of pial-surface bias. The results suggest that Arterial Blood Contrast can modulate the typical fMRI spatial specificity, with important applications in in-vivo neuroscience.
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Affiliation(s)
- Nikos Priovoulos
- Spinoza Center for Neuroimaging, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Icaro Agenor Ferreira de Oliveira
- Spinoza Center for Neuroimaging, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Experimental and Applied Psychology, VU University, Amsterdam, The Netherlands
| | - Benedikt A Poser
- MR-Methods Group, Maastricht Brain Imaging Center, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
- Erwin L. Hahn Institute for MRI, University of Duisburg-Essen, Essen, Germany
| | - Wietske van der Zwaag
- Spinoza Center for Neuroimaging, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
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Gaglianese A, Fracasso A, Fernandes FG, Harvey B, Dumoulin SO, Petridou N. Mechanisms of speed encoding in the human middle temporal cortex measured by 7T fMRI. Hum Brain Mapp 2023; 44:2050-2061. [PMID: 36637226 PMCID: PMC9980888 DOI: 10.1002/hbm.26193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 11/28/2022] [Accepted: 12/11/2022] [Indexed: 01/14/2023] Open
Abstract
Perception of dynamic scenes in our environment results from the evaluation of visual features such as the fundamental spatial and temporal frequency components of a moving object. The ratio between these two components represents the object's speed of motion. The human middle temporal cortex hMT+ has a crucial biological role in the direct encoding of object speed. However, the link between hMT+ speed encoding and the spatiotemporal frequency components of a moving object is still under explored. Here, we recorded high resolution 7T blood oxygen level-dependent BOLD responses to different visual motion stimuli as a function of their fundamental spatial and temporal frequency components. We fitted each hMT+ BOLD response with a 2D Gaussian model allowing for two different speed encoding mechanisms: (1) distinct and independent selectivity for the spatial and temporal frequencies of the visual motion stimuli; (2) pure tuning for the speed of motion. We show that both mechanisms occur but in different neuronal groups within hMT+, with the largest subregion of the complex showing separable tuning for the spatial and temporal frequency of the visual stimuli. Both mechanisms were highly reproducible within participants, reconciling single cell recordings from MT in animals that have showed both encoding mechanisms. Our findings confirm that a more complex process is involved in the perception of speed than initially thought and suggest that hMT+ plays a primary role in the evaluation of the spatial features of the moving visual input.
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Affiliation(s)
- Anna Gaglianese
- The Laboratory for Investigative Neurophysiology (The LINE), Department of RadiologyUniversity Hospital Center and University of LausanneLausanneSwitzerland
- Department of Neurosurgery and Neurology, UMC Utrecht Brain CenterUniversity Medical CenterUtrechtNetherlands
- Department of Radiology, Center for Image SciencesUniversity Medical CenterUtrechtNetherlands
| | - Alessio Fracasso
- Department of Radiology, Center for Image SciencesUniversity Medical CenterUtrechtNetherlands
- University of GlasgowSchool of Psychology and NeuroscienceGlasgowUK
- Spinoza Center for NeuroimagingAmsterdamNetherlands
| | - Francisco G. Fernandes
- Department of Neurosurgery and Neurology, UMC Utrecht Brain CenterUniversity Medical CenterUtrechtNetherlands
| | - Ben Harvey
- Experimental Psychology, Helmholtz InstituteUtrecht UniversityUtrechtNetherlands
| | - Serge O. Dumoulin
- Experimental Psychology, Helmholtz InstituteUtrecht UniversityUtrechtNetherlands
| | - Natalia Petridou
- Department of Radiology, Center for Image SciencesUniversity Medical CenterUtrechtNetherlands
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English G, Ghasemi Nejad N, Sommerfelt M, Yanik MF, von der Behrens W. Bayesian surprise shapes neural responses in somatosensory cortical circuits. Cell Rep 2023; 42:112009. [PMID: 36701237 DOI: 10.1016/j.celrep.2023.112009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 09/16/2022] [Accepted: 12/31/2022] [Indexed: 01/26/2023] Open
Abstract
Numerous psychophysical studies show that Bayesian inference governs sensory decision-making; however, the specific neural circuitry underlying this probabilistic mechanism remains unclear. We record extracellular neural activity along the somatosensory pathway of mice while delivering sensory stimulation paradigms designed to isolate the response to the surprise generated by Bayesian inference. Our results demonstrate that laminar cortical circuits in early sensory areas encode Bayesian surprise. Systematic sensitivity to surprise is not identified in the somatosensory thalamus, rather emerging in the primary (S1) and secondary (S2) somatosensory cortices. Multiunit spiking activity and evoked potentials in layer 6 of these regions exhibit the highest sensitivity to surprise. Gamma power in S1 layer 2/3 exhibits an NMDAR-dependent scaling with surprise, as does alpha power in layers 2/3 and 6 of S2. These results show a precise spatiotemporal neural representation of Bayesian surprise and suggest that Bayesian inference is a fundamental component of cortical processing.
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Affiliation(s)
- Gwendolyn English
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland.
| | - Newsha Ghasemi Nejad
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland
| | - Marcel Sommerfelt
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland
| | - Mehmet Fatih Yanik
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland
| | - Wolfger von der Behrens
- Institute of Neuroinformatics, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland; ZNZ Neuroscience Center Zurich, ETH Zurich & University of Zurich, 8057 Zurich, Switzerland.
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