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1. Transient brain activity dynamics discriminate levels of consciousness during anesthesia

Author

Scott Ensel, Lynn Uhrig, Ayberk Ozkirli, Guylaine Hoffner, Jordy Tasserie, Stanislas Dehaene, Dimitri Van De Ville, Béchir Jarraya, and Elvira Pirondini

Subjects
Biology (General), QH301-705.5
Abstract

Abstract The awake mammalian brain is functionally organized in terms of large-scale distributed networks that are constantly interacting. Loss of consciousness might disrupt this temporal organization leaving patients unresponsive. We hypothesize that characterizing brain activity in terms of transient events may provide a signature of consciousness. For this, we analyze temporal dynamics of spatiotemporally overlapping functional networks obtained from fMRI transient activity across different anesthetics and levels of anesthesia. We first show a striking homology in spatial organization of networks between monkeys and humans, indicating cross-species similarities in resting-state fMRI structure. We then track how network organization shifts under different anesthesia conditions in macaque monkeys. While the spatial aspect of the networks is preserved, their temporal dynamics are highly affected by anesthesia. Networks express for longer durations and co-activate in an anesthetic-specific configuration. Additionally, hierarchical brain organization is disrupted with a consciousness-level-signature role of the default mode network. In conclusion, large-scale brain network temporal dynamics capture differences in anesthetic-specific consciousness-level, paving the way towards a clinical translation of these cortical signature.

Published
2024
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2. Local orchestration of distributed functional patterns supporting loss and restoration of consciousness in the primate brain

Author

Andrea I. Luppi, Lynn Uhrig, Jordy Tasserie, Camilo M. Signorelli, Emmanuel A. Stamatakis, Alain Destexhe, Bechir Jarraya, and Rodrigo Cofre

Subjects
Science
Abstract

Abstract A central challenge of neuroscience is to elucidate how brain function supports consciousness. Here, we combine the specificity of focal deep brain stimulation with fMRI coverage of the entire cortex, in awake and anaesthetised non-human primates. During propofol, sevoflurane, or ketamine anaesthesia, and subsequent restoration of responsiveness by electrical stimulation of the central thalamus, we investigate how loss of consciousness impacts distributed patterns of structure-function organisation across scales. We report that distributed brain activity under anaesthesia is increasingly constrained by brain structure across scales, coinciding with anaesthetic-induced collapse of multiple dimensions of hierarchical cortical organisation. These distributed signatures are observed across different anaesthetics, and they are reversed by electrical stimulation of the central thalamus, coinciding with recovery of behavioural markers of arousal. No such effects were observed upon stimulating the ventral lateral thalamus, demonstrating specificity. Overall, we identify consistent distributed signatures of consciousness that are orchestrated by specific thalamic nuclei.

Published
2024
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3. Probing responses to deep brain stimulation with functional magnetic resonance imaging

Author

Aaron Loh, David Gwun, Clement T. Chow, Alexandre Boutet, Jordy Tasserie, Jürgen Germann, Brendan Santyr, Gavin Elias, Kazuaki Yamamoto, Can Sarica, Artur Vetkas, Ajmal Zemmar, Radhika Madhavan, Alfonso Fasano, and Andres M. Lozano

Subjects
Deep brain stimulation, fMRI, Movement disorders, Functional imaging, Neuromodulation, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Background: Deep brain stimulation (DBS) is an established treatment for certain movement disorders and has additionally shown promise for various psychiatric, cognitive, and seizure disorders. However, the mechanisms through which stimulation exerts therapeutic effects are incompletely understood. A technique that may help to address this knowledge gap is functional magnetic resonance imaging (fMRI). This is a non-invasive imaging tool which permits the observation of DBS effects in vivo. Objective: The objective of this review was to provide a comprehensive overview of studies in which fMRI during active DBS was performed, including studied disorders, stimulated brain regions, experimental designs, and the insights gleaned from stimulation-evoked fMRI responses. Methods: We conducted a systematic review of published human studies in which fMRI was performed during active stimulation in DBS patients. The search was conducted using PubMED and MEDLINE. Results: The rate of fMRI DBS studies is increasing over time, with 37 studies identified overall. The median number of DBS patients per study was 10 (range = 1–67, interquartile range = 11). Studies examined fMRI responses in various disease cohorts, including Parkinson's disease (24 studies), essential tremor (3 studies), epilepsy (3 studies), obsessive-compulsive disorder (2 studies), pain (2 studies), Tourette syndrome (1 study), major depressive disorder, anorexia, and bipolar disorder (1 study), and dementia with Lewy bodies (1 study). The most commonly stimulated brain region was the subthalamic nucleus (24 studies). Studies showed that DBS modulates large-scale brain networks, and that stimulation-evoked fMRI responses are related to the site of stimulation, stimulation parameters, patient characteristics, and therapeutic outcomes. Finally, a number of studies proposed fMRI-based biomarkers for DBS treatment, highlighting ways in which fMRI could be used to confirm circuit engagement and refine DBS therapy. Conclusion: A review of the literature reflects an exciting and expanding field, showing that the combination of DBS and fMRI represents a uniquely powerful tool for simultaneously manipulating and observing neural circuitry. Future work should focus on relatively understudied disease cohorts and stimulated regions, while focusing on the prospective validation of putative fMRI-based biomarkers.

Published
2022
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4. Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks

Author

Clemens Neudorfer, Konstantin Butenko, Simon Oxenford, Nanditha Rajamani, Johannes Achtzehn, Lukas Goede, Barbara Hollunder, Ana Sofía Ríos, Lauren Hart, Jordy Tasserie, Kavisha B. Fernando, T. A. Khoa Nguyen, Bassam Al-Fatly, Matteo Vissani, Michael Fox, R. Mark Richardson, Ursula van Rienen, Andrea A. Kühn, Andreas D. Husch, Enrico Opri, Till Dembek, Ningfei Li, and Andreas Horn

Subjects
Deep brain stimulation, Imaging, Group-level, Structural connectivity, Functional connectivity, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Following its introduction in 2014 and with support of a broad international community, the open-source toolbox Lead-DBS has evolved into a comprehensive neuroimaging platform dedicated to localizing, reconstructing, and visualizing electrodes implanted in the human brain, in the context of deep brain stimulation (DBS) and epilepsy monitoring. Expanding clinical indications for DBS, increasing availability of related research tools, and a growing community of clinician-scientist researchers, however, have led to an ongoing need to maintain, update, and standardize the codebase of Lead-DBS. Major development efforts of the platform in recent years have now yielded an end-to-end solution for DBS-based neuroimaging analysis allowing comprehensive image preprocessing, lead localization, stimulation volume modeling, and statistical analysis within a single tool. The aim of the present manuscript is to introduce fundamental additions to the Lead-DBS pipeline including a deformation warpfield editor and novel algorithms for electrode localization. Furthermore, we introduce a total of three comprehensive tools to map DBS effects to local, tract- and brain network-levels. These updates are demonstrated using a single patient example (for subject-level analysis), as well as a retrospective cohort of 51 Parkinson's disease patients who underwent DBS of the subthalamic nucleus (for group-level analysis). Their applicability is further demonstrated by comparing the various methodological choices and the amount of explained variance in clinical outcomes across analysis streams. Finally, based on an increasing need to standardize folder and file naming specifications across research groups in neuroscience, we introduce the brain imaging data structure (BIDS) derivative standard for Lead-DBS. Thus, this multi-institutional collaborative effort represents an important stage in the evolution of a comprehensive, open-source pipeline for DBS imaging and connectomics.

Published
2023
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5. Combining brain perturbation and neuroimaging in non-human primates

Author

P. Christiaan Klink, Jean-François Aubry, Vincent P. Ferrera, Andrew S. Fox, Sean Froudist-Walsh, Béchir Jarraya, Elisa E. Konofagou, Richard J. Krauzlis, Adam Messinger, Anna S. Mitchell, Michael Ortiz-Rios, Hiroyuki Oya, Angela C. Roberts, Anna Wang Roe, Matthew F.S. Rushworth, Jérôme Sallet, Michael Christoph Schmid, Charles E. Schroeder, Jordy Tasserie, Doris Y. Tsao, Lynn Uhrig, Wim Vanduffel, Melanie Wilke, Igor Kagan, and Christopher I. Petkov

Subjects
Microstimulation, Optogenetics, Chemogenetics, Ultrasound, Lesion, Infrared, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Brain perturbation studies allow detailed causal inferences of behavioral and neural processes. Because the combination of brain perturbation methods and neural measurement techniques is inherently challenging, research in humans has predominantly focused on non-invasive, indirect brain perturbations, or neurological lesion studies. Non-human primates have been indispensable as a neurobiological system that is highly similar to humans while simultaneously being more experimentally tractable, allowing visualization of the functional and structural impact of systematic brain perturbation. This review considers the state of the art in non-human primate brain perturbation with a focus on approaches that can be combined with neuroimaging. We consider both non-reversible (lesions) and reversible or temporary perturbations such as electrical, pharmacological, optical, optogenetic, chemogenetic, pathway-selective, and ultrasound based interference methods. Method-specific considerations from the research and development community are offered to facilitate research in this field and support further innovations. We conclude by identifying novel avenues for further research and innovation and by highlighting the clinical translational potential of the methods.

Published
2021
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6. A collaborative resource platform for non-human primate neuroimaging

Author

Adam Messinger, Nikoloz Sirmpilatze, Katja Heuer, Kep Kee Loh, Rogier B. Mars, Julien Sein, Ting Xu, Daniel Glen, Benjamin Jung, Jakob Seidlitz, Paul Taylor, Roberto Toro, Eduardo A. Garza-Villarreal, Caleb Sponheim, Xindi Wang, R. Austin Benn, Bastien Cagna, Rakshit Dadarwal, Henry C. Evrard, Pamela Garcia-Saldivar, Steven Giavasis, Renée Hartig, Claude Lepage, Cirong Liu, Piotr Majka, Hugo Merchant, Michael P. Milham, Marcello G.P. Rosa, Jordy Tasserie, Lynn Uhrig, Daniel S. Margulies, and P. Christiaan Klink

Subjects
Open science, Resource sharing, Toolbox, Pipeline, Structural, Functional, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Neuroimaging non-human primates (NHPs) is a growing, yet highly specialized field of neuroscience. Resources that were primarily developed for human neuroimaging often need to be significantly adapted for use with NHPs or other animals, which has led to an abundance of custom, in-house solutions. In recent years, the global NHP neuroimaging community has made significant efforts to transform the field towards more open and collaborative practices. Here we present the PRIMatE Resource Exchange (PRIME-RE), a new collaborative online platform for NHP neuroimaging. PRIME-RE is a dynamic community-driven hub for the exchange of practical knowledge, specialized analytical tools, and open data repositories, specifically related to NHP neuroimaging. PRIME-RE caters to both researchers and developers who are either new to the field, looking to stay abreast of the latest developments, or seeking to collaboratively advance the field .

Published
2021
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7. Pypreclin: An automatic pipeline for macaque functional MRI preprocessing

Author

Jordy Tasserie, Antoine Grigis, Lynn Uhrig, Morgan Dupont, Alexis Amadon, and Béchir Jarraya

Subjects
Preprocessing, fMRI, Macaque, Non-human primate, Automatic, Movement artifact, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Non-human primate functional MRI (fMRI) is a growing field in neuroscience. However, there is no standardized method for monkey fMRI data analysis, specifically for data preprocessing. The preprocessing of monkey fMRI data is challenged by several technical and experimental specificities of the monkey research such as artifacts related to body movements or to intracranial leads. Here we propose to address these challenges by developing a new versatile pipeline for macaque fMRI preprocessing. We developed a Python module, Pypreclin, to process raw images using state of the art algorithms embedded in a fully automatic pipeline. To evaluate its robustness, we applied Pypreclin to fMRI data acquired at 3T in both awake and anesthetized macaques, with or without iron oxide contrast agent, using single loop or multichannel phased-array coils, combined or not with intracranial implanted electrodes. We performed both resting-state and auditory evoked fMRI and compared the results of Pypreclin to a previously employed preprocessing pipeline. Pypreclin successfully achieved the registration of the fMRI data to the macaque brain template in all the experimental conditions. Moreover, Pypreclin enables more accurate locations of auditory evoked activations in relation to the gray matter at corrected level in the awake fMRI condition. Finally, using the Primate neuroimaging Data-Exchange open access platform, we could further validate Pypreclin for monkey fMRI images that were acquired at ultra-high fields, from other institutions and using different protocols. Pypreclin is a validated preprocessing tool that adapts to diverse experimental and technical situations of monkey fMRI. Pypreclin code is available on open source data sharing platform.

Published
2020
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8. A Network-Based Approach to Glioma Surgery: Insights from Functional Neurosurgery

Author

Nardin Samuel, Artur Vetkas, Aditya Pancholi, Can Sarica, Aaron Loh, Jurgen Germann, Irene E. Harmsen, Jordy Tasserie, Vanessa Milano, Kazuaki Yamamoto, Suneil K. Kalia, Paul N. Kongkham, and Andres M. Lozano

Subjects
glioma, connectivity, networks, functional neurosurgery, neuroplasticity, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

The evaluation and manipulation of structural and functional networks, which has been integral to advancing functional neurosurgery, is beginning to transcend classical subspecialty boundaries. Notably, its application in neuro-oncologic surgery has stimulated an exciting paradigm shift from the traditional localizationist approach, which is lacking in nuance and optimization. This manuscript reviews the existing literature and explores how structural and functional connectivity analyses have been leveraged to revolutionize and individualize pre-operative tumor evaluation and surgical planning. We describe how this novel approach may improve cognitive and neurologic preservation after surgery and attenuate tumor spread. Furthermore, we demonstrate how connectivity analysis combined with neuromodulation techniques can be employed to induce post-operative neuroplasticity and personalize neurorehabilitation. While the landscape of functional neuro-oncology is still evolving and requires further study to encourage more widespread adoption, this functional approach can transform the practice of neuro-oncologic surgery and improve the care and outcomes of patients with intra-axial tumors.

Published
2021
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10. Combining brain perturbation and neuroimaging in non-human primates.

Author

Peter Christiaan Klink, Jean-François Aubry, Vincent P. Ferrera, Andrew S. Fox, Seán Froudist Walsh, Béchir Jarraya, Elisa E. Konofagou, Richard J. Krauzlis, Adam Messinger, Anna S. Mitchell, Michael Ortiz-Rios, Hiroyuki Oya, Angela C. Roberts, Anna Wang Roe, Matthew F. S. Rushworth, Jérôme Sallet, Michael Christoph Schmid, Charles E. Schroeder, Jordy Tasserie, Doris Y. Tsao, Lynn Uhrig, Wim Vanduffel, Melanie Wilke, Igor Kagan, and Christopher I. Petkov

Published
2021
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11. Brain mechanisms of reversible symbolic reference: a potential singularity of the human brain

Author

Timo van Kerkoerle, Louise Pape, Milad Ekramnia, Xiaoxia Feng, Jordy Tasserie, Morgan Dupont, Xiaolian Li, Bechir Jarraya, Wim Vanduffel, Stanislas Dehaene, and Ghislaine Dehaene-Lambertz

Abstract

The emergence of symbolic thinking has been proposed as a dominant cognitive criterion to distinguish humans from other primates during hominization. Although the proper definition of a symbol has been the subject of much debate, one of its simplest features is bidirectional attachment: the content is accessible from the symbol, and vice versa. Behavioral observations scattered over the past four decades suggest that this criterion might not be met in non-human primates, as they fail to generalize an association learned in one temporal order (A to B) to the reverse order (B to A). Here, we designed an implicit fMRI test to investigate the neural mechanisms of arbitrary audio-visual and visual-visual pairing in monkeys and humans and probe their spontaneous reversibility. After learning a unidirectional association, humans showed surprise signals when this learned association was violated. Crucially, this effect occurred spontaneously in both learned and reversed directions, within an extended network of high-level brain areas, including, but also going beyond the language network. In monkeys, by contrast, violations of association effects occurred solely in the learned direction and were largely confined to sensory areas. We propose that a human-specific brain network may have evolved the capacity for reversible symbolic reference.

Published
2023

13. Deep brain stimulation of the thalamus restores signatures of consciousness in a nonhuman primate model

Author

Jordy Tasserie, Lynn Uhrig, Jacobo D. Sitt, Dragana Manasova, Morgan Dupont, Stanislas Dehaene, and Béchir Jarraya

Subjects
Primates, Multidisciplinary, Consciousness, Thalamus, Deep Brain Stimulation, Animals, Humans, Arousal
Abstract

Loss of consciousness is associated with the disruption of long-range thalamocortical and corticocortical brain communication. We tested the hypothesis that deep brain stimulation (DBS) of central thalamus might restore both arousal and awareness following consciousness loss. We applied anesthesia to suppress consciousness in nonhuman primates. During anesthesia, central thalamic stimulation induced arousal in an on-off manner and increased functional magnetic resonance imaging activity in prefrontal, parietal, and cingulate cortices. Moreover, DBS restored a broad dynamic repertoire of spontaneous resting-state activity, previously described as a signature of consciousness. None of these effects were obtained during the stimulation of a control site in the ventrolateral thalamus. Last, DBS restored a broad hierarchical response to auditory violations that was disrupted under anesthesia. Thus, DBS restored the two dimensions of consciousness, arousal and conscious access, following consciousness loss, paving the way to its therapeutical translation in patients with disorders of consciousness.

Published
2022

14. Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging

Author

David C. Van Essen, Caspar M. Schwiedrzik, Takuro Ikeda, Shaomin Zhang, Marcello G. P. Rosa, Ning Liu, Aidan Murphy, Li Min Chen, Pinglei Bao, Julia Lehman, Yuki Hori, Pengcheng Li, Julien Vezoli, Peter H. Rudebeck, Yao Meng, Julian 'Bene' Ramirez, Pierre Pouget, Guillermo Gallardo, Rogier B. Mars, Charles E. Schroeder, Minqing Jiang, Steve Frey, Michael P. Milham, Mohammad Hadi Aarabi, Pascal Belin, Patrick Friedrich, Bichan Wu, Hector Figueroa, Ye He, Charles L. Wilson, Melanie Wilke, Eunha Baeg, Fadila Hadj-Bouziane, Danny Garside, Marco Pagani, Ting-Yat Wong, Igor Kagan, Abdelhadi Essamlali, Bharat B. Biswal, Wasana Ediri Arachchi, Julio Villalon, Zheng Wang, Kacie Dougherty, Neo Sunhang Shi, Luciano Simone, Roberto Toro, Benjamin Jung, Masaki Fukunaga, Zhanguang Zuo, Loïc Magrou, Xiaowei Song, Kadharbatcha S. Saleem, Michele A. Basso, Eduardo A. Garza-Villarreal, Chihiro Yokoyama, Aaron Tanenbaum, Brian E. Russ, Alexandre Rosa Franco, Alison R. Weiss, Isabel Restrepo, Alan C. Evans, Lixia Gao, Nobuyuki Kimura, Augix Guohua Xu, Piotr Majka, Colline Poirier, Justine Cléry, Bassem Hiba, Alessandro Gozzi, Xiaojie Wang, Nick Upright, Stan Colcombe, Yang Gao, Won Mok Shim, Eduardo Rojas Hortelano, Takuya Hayashi, Anna S. Mitchell, Andrew F. Rossi, Itamar Kahn, Jorge Jaramillo, Henry C. Evrard, Xin Yumeng, Gregory Kiar, Sean Froudist-Walsh, Elise Roger, Roberto A. Gulli, Yufan Wang, Damien A. Fair, Yuguang Zhao, Stephen J. Sawiak, Boris C. Bernhardt, Ulysse Klatzmann, Ashkan Alvand, Kep Kee Loh, David Schaeffer, Virginie Sivan, Daniel S. Margulies, Carly M. Drzewiecki, Tomoko Sakai, Ting Xu, Cirong Liu, Essa Yacoub, Theresa M. Desrochers, Seok-Jun Hong, Sethu Boopathy, Reza Azadi, Lu Yuheng, Aarit Ahuja, Zhifeng Liang, Elena Borra, Fernanda Ponce, Robert Dahnke, Julien Sein, Li Deying, Jitendra Sharma, A.J. Mitchell, Roger Little, Luqi Cheng, Du Xiao, Choong-Wan Woo, Xinhui Li, Chris Petkov, Ruiliang Bai, D Zaldivar, Sheyla Mejia, Haidong D. Lu, Nikoloz Sirmpilatze, Diego Emanuel Ortuzar Martinez, Suzanne N. Haber, Catherine Elorette, Yue Cui, Michael Hawrylycz, Jerome Sallet, Wim Vanduffel, Daniel R. Glen, Ralph Adolphs, Dongrong Xu, Simon Clavagnier, Rakshit Dadarwal, Marzio Gerbella, Hannah Doyle, Ningrong Ye, Xiaojin Liu, Xinyu Liu, Quansheng He, Christopher R. Madan, Vikas Pareek, James Cavanaugh, Sze Chai Kwok, Zhang Ying, Sam Vickery, Xiaoguang Tian, Zhou Xufeng, Bevil R. Conway, Mark Postans, Wei-an Sheng, Gianfranco Chavez, Rober Boshra, Yuki Kikuchi, Michael Ortiz-Rios, Céline Amiez, Felix Hoffstaedter, Elizabeth A. Buffalo, Amy Howard, Hsin-Yi Lai, Marianne Duyck, Samy Rima, Froesel Mathilda, Towela Mvula, Guilherme Freches, Alfonso Fajardo, Maria de la Iglesia-Vaya, Ana Rita Ribeiro Gomes, Xiongjie Yu, Afonso C. Silva, Andrew S. Fox, Long Cao, Anna W. Roe, Meizhen Qian, David Meunier, Erika Raven, Nicola Palomero-Gallagher, Jordy Tasserie, Joonas A. Autio, Francois Chouinard-Decorte, Hank P. Jedema, Shasha Yue, Xinjian Li, Xiaodong Chen, Kathleen Rockland, Satoka Hashimoto Fujimoto, Amiez Celine, Melina Cordeau, Olivier Coulon, Ravi S. Menon, Sandra Gonzalez Torrecilla, Bjørg Elisabeth Kilavik, Adam Messinger, Hecheng Jin, Steven Giavasis, Pierce Perkins, Conor Liston, Yujie Hou, Jakob Seidlitz, Kelly Shen, Yvonne Bennett, Franck Lamberton, Maxime Gaudet-Trafit, Suliann Ben Hamed, Chris Klink, Sabine Kastner, Lucas R. Trambaiolli, Lucija Jankovic-Rapan, Atsushi Fujimoto, Nadira Yusif Rodriguez, Maeva Gacoin, Amir Shmuel, Katja Heuer, Austin K. Behel, Susann Boretius, Paul A. Taylor, Child Mind Institute, Institute of Neurosciences and Psychology [Glasgow], University of Glasgow, Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 (ISC-MJ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), University of Tübingen, Oregon Health and Science University [Portland] (OHSU), New York University [New York] (NYU), NYU System (NYU), Princeton Neuroscience Institute [Princeton], Consortium, PRIMatE Data and Resource Exchange (PRIME-DRE) Global Collaboration Workshop and, Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 (CNC), Nathan S. Kline Institute for Psychiatric Research (NKI), New York State Office of Mental Health, Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Nencki Institute of Experimental Biology, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Monash University [Clayton], Wellcome Trust Centre for Integrative Neuroimaging (WIN - FMRIB), University of Oxford, Donders Institute for Brain, Cognition and Behaviour, Radboud University [Nijmegen], National Institute of Mental Health (NIMH), Newcastle University [Newcastle], McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Laboratorium voor Neuro- en Psychofysiologie, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), and Washington University in Saint Louis (WUSTL)

Subjects
Strategic planning, 0303 health sciences, Open science, biology, Action, intention, and motor control, Resource exchange, [SCCO.NEUR]Cognitive science/Neuroscience, Neuroscience(all), General Neuroscience, Nonhuman primate, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, biology.animal, Primate, Beacon - Precision Imaging, ddc:610, Psychology, Neuroscience, ComputingMilieux_MISCELLANEOUS, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Contains fulltext : 239574.pdf (Publisher’s version ) (Closed access) Open science initiatives are creating opportunities to increase research coordination and impact in nonhuman primate (NHP) imaging. The PRIMatE Data and Resource Exchange community recently developed a collaboration-based strategic plan to advance NHP imaging as an integrative approach for multiscale neuroscience. 5 p.

Published
2022

15. Deep brain stimulation targets in epilepsy: Systematic review and meta-analysis of anterior and centromedian thalamic nuclei and hippocampus

Author

Artur Vetkas, Anton Fomenko, Jürgen Germann, Can Sarica, Christian Iorio‐Morin, Nardin Samuel, Kazuaki Yamamoto, Vanessa Milano, Cletus Cheyuo, Ajmal Zemmar, Gavin Elias, Alexandre Boutet, Aaron Loh, Brendan Santyr, Dave Gwun, Jordy Tasserie, Suneil K. Kalia, and Andres M. Lozano

Subjects
Death, Sudden, Drug Resistant Epilepsy, Epilepsy, Neurology, Anterior Thalamic Nuclei, Intralaminar Thalamic Nuclei, Seizures, Deep Brain Stimulation, Humans, Neurology (clinical), Hippocampus
Abstract

Deep brain stimulation (DBS) is a neuromodulatory treatment used in patients with drug-resistant epilepsy (DRE). The primary goal of this systematic review and meta-analysis is to describe recent advancements in the field of DBS for epilepsy, to compare the results of published trials, and to clarify the clinical utility of DBS in DRE. A systematic literature search was performed by two independent authors. Forty-four articles were included in the meta-analysis (23 for anterior thalamic nucleus [ANT], 8 for centromedian thalamic nucleus [CMT], and 13 for hippocampus) with a total of 527 patients. The mean seizure reduction after stimulation of the ANT, CMT, and hippocampus in our meta-analysis was 60.8%, 73.4%, and 67.8%, respectively. DBS is an effective and safe therapy in patients with DRE. Based on the results of randomized controlled trials and larger clinical series, the best evidence exists for DBS of the anterior thalamic nucleus. Further randomized trials are required to clarify the role of CMT and hippocampal stimulation. Our analysis suggests more efficient deep brain stimulation of ANT for focal seizures, wider use of CMT for generalized seizures, and hippocampal DBS for temporal lobe seizures. Factors associated with clinical outcome after DBS for epilepsy are electrode location, stimulation parameters, type of epilepsy, and longer time of stimulation. Recent advancements in anatomical targeting, functional neuroimaging, responsive neurostimulation, and sensing of local field potentials could potentially lead to improved outcomes after DBS for epilepsy and reduced sudden, unexpected death of patients with epilepsy. Biomarkers are needed for successful patient selection, targeting of electrodes and optimization of stimulation parameters.

Published
2021

16. Thalamic_DBS_restores_consicousness

Author

Jordy TASSERIE, Lynn UHRIG, Jacobo D SITT, Dragana MANASOVA, Morgan DUPONT, Stanislas DEHAENE, and Béchir JARRAYA

Subjects
nervous system, Deep Brain Stimulation, functional Magnetic Resonance Imaging, consciousness, Thalamus
Abstract

Dataand codes related to the article 'Deep brain stimulation of the thalamus restores signatures of consciousness in a non-human primate model' by Tasserie et al.

Published
2021
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17. Probing responses to deep brain stimulation with functional magnetic resonance imaging

Author

Aaron Loh, David Gwun, Clement T. Chow, Alexandre Boutet, Jordy Tasserie, Jürgen Germann, Brendan Santyr, Gavin Elias, Kazuaki Yamamoto, Can Sarica, Artur Vetkas, Ajmal Zemmar, Radhika Madhavan, Alfonso Fasano, and Andres M. Lozano

Subjects
Depressive Disorder, Major, Subthalamic Nucleus, General Neuroscience, Deep Brain Stimulation, Biophysics, Humans, Parkinson Disease, Neurology (clinical), Magnetic Resonance Imaging
Abstract

Deep brain stimulation (DBS) is an established treatment for certain movement disorders and has additionally shown promise for various psychiatric, cognitive, and seizure disorders. However, the mechanisms through which stimulation exerts therapeutic effects are incompletely understood. A technique that may help to address this knowledge gap is functional magnetic resonance imaging (fMRI). This is a non-invasive imaging tool which permits the observation of DBS effects in vivo.The objective of this review was to provide a comprehensive overview of studies in which fMRI during active DBS was performed, including studied disorders, stimulated brain regions, experimental designs, and the insights gleaned from stimulation-evoked fMRI responses.We conducted a systematic review of published human studies in which fMRI was performed during active stimulation in DBS patients. The search was conducted using PubMED and MEDLINE.The rate of fMRI DBS studies is increasing over time, with 37 studies identified overall. The median number of DBS patients per study was 10 (range = 1-67, interquartile range = 11). Studies examined fMRI responses in various disease cohorts, including Parkinson's disease (24 studies), essential tremor (3 studies), epilepsy (3 studies), obsessive-compulsive disorder (2 studies), pain (2 studies), Tourette syndrome (1 study), major depressive disorder, anorexia, and bipolar disorder (1 study), and dementia with Lewy bodies (1 study). The most commonly stimulated brain region was the subthalamic nucleus (24 studies). Studies showed that DBS modulates large-scale brain networks, and that stimulation-evoked fMRI responses are related to the site of stimulation, stimulation parameters, patient characteristics, and therapeutic outcomes. Finally, a number of studies proposed fMRI-based biomarkers for DBS treatment, highlighting ways in which fMRI could be used to confirm circuit engagement and refine DBS therapy.A review of the literature reflects an exciting and expanding field, showing that the combination of DBS and fMRI represents a uniquely powerful tool for simultaneously manipulating and observing neural circuitry. Future work should focus on relatively understudied disease cohorts and stimulated regions, while focusing on the prospective validation of putative fMRI-based biomarkers.

Published
2021

18. Identifying the neural network for neuromodulation in epilepsy through connectomics and graphs

Author

Artur Vetkas, Jürgen Germann, Gavin Elias, Aaron Loh, Alexandre Boutet, Kazuaki Yamamoto, Can Sarica, Nardin Samuel, Vanessa Milano, Anton Fomenko, Brendan Santyr, Jordy Tasserie, Dave Gwun, Hyun Ho Jung, Taufik Valiante, George M Ibrahim, Richard Wennberg, Suneil K Kalia, and Andres M Lozano

Subjects
General Engineering
Abstract

Deep brain stimulation is a treatment option for patients with drug-resistant epilepsy. The precise mechanism of neuromodulation in epilepsy is unknown, and biomarkers are needed for optimizing treatment. The aim of this study was to describe the neural network associated with deep brain stimulation targets for epilepsy and to explore its potential application as a novel biomarker for neuromodulation. Using seed-to-voxel functional connectivity maps, weighted by seizure outcomes, brain areas associated with stimulation were identified in normative resting state functional scans of 1000 individuals. To pinpoint specific regions in the normative epilepsy deep brain stimulation network, we examined overlapping areas of functional connectivity between the anterior thalamic nucleus, centromedian thalamic nucleus, hippocampus and less studied epilepsy deep brain stimulation targets. Graph network analysis was used to describe the relationship between regions in the identified network. Furthermore, we examined the associations of the epilepsy deep brain stimulation network with disease pathophysiology, canonical resting state networks and findings from a systematic review of resting state functional MRI studies in epilepsy deep brain stimulation patients. Cortical nodes identified in the normative epilepsy deep brain stimulation network were in the anterior and posterior cingulate, medial frontal and sensorimotor cortices, frontal operculum and bilateral insulae. Subcortical nodes of the network were in the basal ganglia, mesencephalon, basal forebrain and cerebellum. Anterior thalamic nucleus was identified as a central hub in the network with the highest betweenness and closeness values, while centromedian thalamic nucleus and hippocampus showed average centrality values. The caudate nucleus and mammillothalamic tract also displayed high centrality values. The anterior cingulate cortex was identified as an important cortical hub associated with the effect of deep brain stimulation in epilepsy. The neural network of deep brain stimulation targets shared hubs with known epileptic networks and brain regions involved in seizure propagation and generalization. Two cortical clusters identified in the epilepsy deep brain stimulation network included regions corresponding to resting state networks, mainly the default mode and salience networks. Our results were concordant with findings from a systematic review of resting state functional MRI studies in patients with deep brain stimulation for epilepsy. Our findings suggest that the various epilepsy deep brain stimulation targets share a common cortico-subcortical network, which might in part underpin the antiseizure effects of stimulation. Interindividual differences in this network functional connectivity could potentially be used as biomarkers in selection of patients, stimulation parameters and neuromodulation targets.

Published
2021

19. Response: Deep brain stimulation targets in epilepsy: Systematic review and meta‐analysis of anterior and centromedian thalamic nuclei and hippocampus

Author

Artur Vetkas, Anton Fomenko, Jürgen Germann, Can Sarica, Christian Iorio‐Morin, Nardin Samuel, Kazuaki Yamamoto, Vanessa Milano, Cletus Cheyuo, Ajmal Zemmar, Gavin Elias, Alexandre Boutet, Aaron Loh, Brendan Santyr, Dave Gwun, Jordy Tasserie, Suneil K. Kalia, and Andres M. Lozano

Subjects
Epilepsy, Anterior Thalamic Nuclei, Neurology, Intralaminar Thalamic Nuclei, Deep Brain Stimulation, Humans, Neurology (clinical), Hippocampus
Published
2022

20. Blood oxygen level-dependent (BOLD) response patterns with thalamic deep brain stimulation in patients with medically refractory epilepsy

Author

Aaron Loh, Dave Gwun, Gavin J B Elias, Radhika Madhavan, Andres M. Lozano, Kazuaki Yamamoto, Suneil K. Kalia, Ajmal Zemmar, Jürgen Germann, Richard Wennberg, Danielle M. Andrade, Jordy Tasserie, Can Sarica, Alexandre Boutet, and Mojgan Hodaie

Subjects
Cingulate cortex, Drug Resistant Epilepsy, Deep brain stimulation, medicine.medical_treatment, Deep Brain Stimulation, Thalamus, Precuneus, behavioral disciplines and activities, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, medicine, Humans, 030212 general & internal medicine, Thalamic stimulator, Blood-oxygen-level dependent, medicine.diagnostic_test, business.industry, Magnetic Resonance Imaging, Oxygen, medicine.anatomical_structure, nervous system, Neurology, Anterior Thalamic Nuclei, Posterior cingulate, Neurology (clinical), Functional magnetic resonance imaging, business, Neuroscience, psychological phenomena and processes, 030217 neurology & neurosurgery
Abstract

Objective Anterior nucleus of thalamus (ANT) deep brain stimulation (DBS) has shown promise as a treatment for medically refractory epilepsy. To better understand the mechanism of this intervention, we used functional magnetic resonance imaging (fMRI) to map the acute blood oxygen level-dependent (BOLD) response pattern to thalamic DBS in fully implanted patients with epilepsy. Methods Two patients with epilepsy implanted with bilateral ANT-DBS devices underwent four fMRI acquisitions each, during which active left-sided monopolar stimulation was delivered in a 30-s DBS-ON/OFF cycling paradigm. Each fMRI acquisition featured left-sided stimulation of a different electrode contact to vary the locus of stimulation within the thalamus and to map the brain regions modulated as a function of different contact selection. To determine the extent of peri-electrode stimulation and the engagement of local structures during each fMRI acquisition, volume of tissue activated (VTA) modeling was also performed. Results Marked changes in the pattern of BOLD response were produced with thalamic stimulation, which varied with the locus of the active contact in each patient. BOLD response patterns to stimulation that directly engaged at least 5% of the anterior nuclear group by volume were characterized by changes in the bilateral putamen, thalamus, and posterior cingulate cortex, ipsilateral middle cingulate cortex and precuneus, and contralateral medial prefrontal and anterior cingulate. Significance The differential BOLD response patterns associated with varying thalamic DBS parameters provide mechanistic insights and highlight the possibilities of fMRI biomarkers of optimizing stimulation in patients with epilepsy.

Published
2021

21. A collaborative resource platform for non-human primate neuroimaging

Author

Rogier B. Mars, Benjamin Jung, Ting Xu, Cirong Liu, R. Austin Benn, Jordy Tasserie, Henry C. Evrard, Adam Messinger, Steven Giavasis, Michael P. Milham, Kep Kee Loh, Bastien Cagna, Pamela Garcia-Saldivar, Daniel R. Glen, Marcello G. P. Rosa, Lynn Uhrig, Jakob Seidlitz, Hugo Merchant, Rakshit Dadarwal, Xindi Wang, Paul A. Taylor, Eduardo A. Garza-Villarreal, Nikoloz Sirmpilatze, Caleb Sponheim, P. Christiaan Klink, Claude Lepage, Renée Hartig, Roberto Toro, Daniel S. Margulies, Katja Heuer, Julien Sein, Piotr Majka, Fondation pour la recherche médicale (Francia), Fondation de France (Francia), Human Brain Project, Biotechnology and Biological Sciences Research Council (Reino Unido), Wellcome Trust, National Institute of Mental Health (NIMH), German Primate Center - Deutsches Primatenzentrum -- Leibniz Insitute for Primate Research -- [Göttingen, Allemagne] (GPC - DPZ), Georg-August-University = Georg-August-Universität Göttingen, Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, Centre de Recherche Interdisciplinaire / Center for Research and Interdisciplinarity [Paris, France] (CRI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institute of Language, Communication and the Brain (ILCB), Wellcome Trust Centre for Integrative Neuroimaging (WIN - FMRIB), University of Oxford, Donders Institute for Brain, Cognition and Behaviour, Radboud University [Nijmegen], Child Mind Institute, Brown University, Children’s Hospital of Philadelphia (CHOP ), University of Pennsylvania, Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), University of Chicago, Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], Centro Nacional de Investigaciones Cardiovasculares Carlos III [Madrid, Spain] (CNIC), Instituto de Salud Carlos III [Madrid] (ISC), University of Tübingen, Max Planck Institute for Biological Cybernetics, Nathan S. Kline Institute for Psychiatric Research (NKI), New York State Office of Mental Health, Chinese Academy of Sciences [Beijing] (CAS), University Medical Center [Mainz], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Nencki Institute of Experimental Biology, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Monash University [Clayton], Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Neuroimagerie cognitive - Psychologie cognitive expérimentale (UNICOG-U992), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre Neurosciences intégratives et Cognition (INCC - UMR 8002), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), This research was supported in part by the Intramural Research Program of the NIMH and utilized the computational resources of the NIH HPC Biowulf cluster (http://hpc.nih.gov). Pypreclin work was supported by the Fondation pour la Recherche Medicale (FRM grant number ECO20160736100 to JT), Fondation de France, Human Brain Project (Corticity project). RT and KH are supported by ANR-19-DATA-0025-01 NeuroWebLab. RBM is supported by the Biotechnology and Biological Sciences Research Council (BBSRC) UK [BB/N019814/1]. The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust [203129/Z/16/Z]., ANR-19-DATA-0025,NeuroWebLab,Un laboratoire de neuroscience collectif: Au delà de FAIR(2019), Fondation pour la recherche médicale, Fondation de France, Biotechnology and Biological Sciences Research Council (United Kingdom), University of Göttingen - Georg-August-Universität Göttingen, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), University of Oxford [Oxford], Radboud university [Nijmegen], University of Pennsylvania [Philadelphia], Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Universidad Nacional Autónoma de México (UNAM), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Saclay (COmUE)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Loh, Kep Kee, and Un laboratoire de neuroscience collectif: Au delà de FAIR - - NeuroWebLab2019 - ANR-19-DATA-0025 - DONNEES - VALID

Subjects
Primates, Computer science, Cognitive Neuroscience, [SDV]Life Sciences [q-bio], Neuroimaging, Online Systems, 050105 experimental psychology, lcsh:RC321-571, Access to Information, Diffusion, 03 medical and health sciences, 0302 clinical medicine, Resource (project management), Structural, Pipeline, Animals, 0501 psychology and cognitive sciences, MESH: Animals, MESH: Neuroimaging, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Non human primate, Functional, Action, intention, and motor control, Resource sharing, 05 social sciences, Data science, MESH: Online Systems, MESH: Access to Information, [SDV] Life Sciences [q-bio], MESH: Primates, Neurology, Open science, Toolbox, 030217 neurology & neurosurgery
Abstract

Neuroimaging non-human primates (NHPs) is a growing, yet highly specialized field of neuroscience. Resources that were primarily developed for human neuroimaging often need to be significantly adapted for use with NHPs or other animals, which has led to an abundance of custom, in-house solutions. In recent years, the global NHP neuroimaging community has made significant efforts to transform the field towards more open and collaborative practices. Here we present the PRIMatE Resource Exchange (PRIME-RE), a new collaborative online platform for NHP neuroimaging. PRIME-RE is a dynamic community-driven hub for the exchange of practical knowledge, specialized analytical tools, and open data repositories, specifically related to NHP neuroimaging. PRIME-RE caters to both researchers and developers who are either new to the field, looking to stay abreast of the latest developments, or seeking to collaboratively advance the field . Pypreclin work was supported by the Fondation pour la Recherche Medicale (FRM grant number ECO20160736100 to JT), Fondation de France, Human Brain Project (Corticity project). RT and KH are supported by ANR-19-DATA-0025-01 NeuroWebLab. RBM is supported by the Biotechnology and Biological Sciences Research Council (BBSRC) UK [BB/N019814/1]. The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust [203129/Z/16/Z]. Sí

Published
2021

22. Combining brain perturbation and neuroimaging in non-human primates

Author

Adam Messinger, Sean Froudist-Walsh, Doris Y. Tsao, Wim Vanduffel, Jean-François Aubry, Richard J. Krauzlis, Melanie Wilke, Angela C. Roberts, Béchir Jarraya, Hiroyuki Oya, Igor Kagan, Andrew S. Fox, Michael Ortiz-Rios, Charles E. Schroeder, P. Christiaan Klink, Anna S. Mitchell, Lynn Uhrig, Elisa E. Konofagou, Vincent P. Ferrera, Michael C. Schmid, Christopher I. Petkov, Jerome Sallet, Matthew F. S. Rushworth, Anna W. Roe, Jordy Tasserie, HAL UVSQ, Équipe, Equipements d'excellence - Thérapie et Neurostimulation cérébrale de très haute précision par Ultrasons Transcraniens - - ULTRABRAIN2010 - ANR-10-EQPX-0015 - EQPX - VALID, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW), Physique pour la médecine (PhysMed Paris), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Columbia University [New York], University of California [Davis] (UC Davis), University of California (UC), New York University [New York] (NYU), NYU System (NYU), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Hôpital Foch [Suresnes], National Eye Institute [Bethesda, MD, États-Unis] (NEI), National Institutes of Health [Bethesda] (NIH), National Institute of Mental Health (NIMH), University of Oxford, Leibniz Institute for Primate Research, German Primate Centre, Institute for Cell and Molecular Biosciences, The Medical School Newcastle University, University of Northumbria at Newcastle [United Kingdom], University of Iowa [Iowa City], University of Cambridge [UK] (CAM), Zhejiang Gongshang University [Hangzhou] (ZJSU), Institut cellule souche et cerveau (U846 Inserm - UCBL1), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Fribourg, Howard Hughes Medical Institute (HHMI), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Harvard Medical School [Boston] (HMS), Massachusetts General Hospital [Boston], University Medical Center Göttingen (UMG), German Primate Center - Deutsches Primatenzentrum -- Leibniz Insitute for Primate Research -- [Göttingen, Allemagne] (GPC - DPZ), Newcastle University [Newcastle], 2015AA020515, IDEX/IMP/2020/14 MECHIDENT 724198 945539 G0B8617N, G0C1920N, G0E0520N, VS02219N ZIA EY000511 637638 National Science Foundation, NSF: 2020C03004, 31627802, 81430010 National Institutes of Health, NIH: MH112142 Howard Hughes Medical Institute, HHMI National Institute of Mental Health, NIMH: ZIA MH002918 California National Primate Research Center, CNPRC: P51-OD011107 Wellcome Trust, WT: WT 110157/Z/15/Z European Research Council, ERC Deutsche Forschungsgemeinschaft, DFG: GA1475-B4, KA 3726/2-1, WI 4046/1-1, WT092606AIA Agence Nationale de la Recherche, ANR: ANR-10-EQPX-15, R01-DC04290 KU Leuven: C14/17/109 Fondation Bettencourt Schueller National Key Research and Development Program of China, NKRDPC: 2018YFA0701400, This work was supported by NIH -MH112142 (V.F. and E.K.), California National Primate Research Center Base Grant ( P51-OD011107 ) (A.F.), Fondation Bettencourt Schueller, France and Human Brain Project (B.J., L.U., J.T.), the Intramural Research Program of the NIMH (ZIA MH002918) (A.M.), Wellcome Trust ( WT 110157/Z/15/Z ) (A.S.M.), European Research Council (ERC StG, OptoVision, 637638 ) (M.C.S and M.O.R.), National Key R&D Program of China 2018YFA0701400 (A.W.R.), Chinese NSF ( 81430010 and 31627802 ) (A.W.R.), Zhejiang province 2020C03004 (A.W.R.), Chinese National R&D Program Grant 2015AA020515 (A.W.R.), IDEXLYON 'IMPULSION 2020 grant (IDEX/IMP/2020/14) (J.S.), Howard Hughes Medical Institute (D.T.), KU Leuven grant C14/17/109 (W.V.), the National Eye Institute Intramural Research Program (ZIA EY000511 ) at the National Institutes of Health, U.S.A. (W.V.), Fonds Wetenschappelijk Onderzoek-Vlaanderen (FWO) G0D5817N , G0B8617N , G0C1920N , G0E0520N , VS02219N (W.V.), the European Union's Horizon 2020 Framework Programme for Research and Innovation under Grant Agreement No 945539 (Human Brain Project SGA3) (W.V.), Hermann and Lilly Schilling Foundation, German Research Foundation (DFG) grants WI 4046/1-1 and Research Unit GA1475-B4, KA 3726/2-1, Primate Platform of DFG Center for Nanoscale Microscopy & Molecular Physiology of the Brain (CNMPB) (M.W. and I.K.), Wellcome Trust ( WT092606AIA ) (C.I.P.), European Research Council Horizon 2020 (ERC CoG, MECHIDENT 724198) (C.I.P.), the Bettencourt Schueller Foundation (Ultrabrain project) (J.-F. A.), the French National Agency for Research ( ANR-10-EQPX-15 ) (J.-F. A.):and the National Institutes of Health (with Matthew Howard III: R01-DC04290 ) (C.I.P.), This work was supported by NIH-MH112142 (V.F. and E.K.), California National Primate Research Center Base Grant (P51-OD011107) (A.F.), Fondation Bettencourt Schueller, France and Human Brain Project (B.J. L.U. J.T.), Wellcome Trust (WT 110157/Z/15/Z) (A.S.M.), European Research Council (ERC StG, OptoVision, 637638) (M.C.S and M.O.R.), Chinese NSF (81430010 and 31627802) (A.W.R.), IDEXLYON ?IMPULSION 2020 grant (IDEX/IMP/2020/14) (J.S.), the National Eye Institute Intramural Research Program (ZIA EY000511) at the National Institutes of Health, U.S.A. (W.V.), Fonds Wetenschappelijk Onderzoek-Vlaanderen (FWO) G0D5817N, G0B8617N, G0C1920N, G0E0520N, VS02219N (W.V.), Wellcome Trust (WT092606AIA) (C.I.P.), the French National Agency for Research (ANR-10-EQPX-15) (J.-F. A.):and the National Institutes of Health (with Matthew Howard III: R01-DC04290) (C.I.P.), All research discussed in this work was performed in accordance with institutional and nationally approved oversight, such as the NIH Guide for Care and Use of Laboratory Animals, the U.K. Animals (Scientific Procedures) Act, 1986, and European Directive 2010/63/EU., ANR-10-EQPX-0015,ULTRABRAIN,Thérapie et Neurostimulation cérébrale de très haute précision par Ultrasons Transcraniens(2010), Institut cellule souche et cerveau (SBRI), Université de Fribourg = University of Fribourg (UNIFR), Physique pour la médecine (UMR 8063, U1273), University of California, Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, University of Oxford [Oxford], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)

Subjects
Primates, Computer science, Cognitive Neuroscience, primates, Neuroimaging, Neurosciences. Biological psychiatry. Neuropsychiatry, Optogenetics, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Ultrasound, Animals, Humans, 0501 psychology and cognitive sciences, Lesion, Microstimulation, [SCCO.NEUR]Cognitive science/Neuroscience, 05 social sciences, fMRI, [SCCO.NEUR] Cognitive science/Neuroscience, Brain, Chemogenetics, Causality, Neurology, Causal inference, Non-human, Neurological lesion, Infrared, Neuroscience, 030217 neurology & neurosurgery, RC321-571
Abstract

Brain perturbation studies allow detailed causal inferences of behavioral and neural processes. Because the combination of brain perturbation methods and neural measurement techniques is inherently challenging, research in humans has predominantly focused on non-invasive, indirect brain perturbations, or neurological lesion studies. Non-human primates have been indispensable as a neurobiological system that is highly similar to humans while simultaneously being more experimentally tractable, allowing visualization of the functional and structural impact of systematic brain perturbation. This review considers the state of the art in non-human primate brain perturbation with a focus on approaches that can be combined with neuroimaging. We consider both non-reversible (lesions) and reversible or temporary perturbations such as electrical, pharmacological, optical, optogenetic, chemogenetic, pathway-selective, and ultrasound based interference methods. Method-specific considerations from the research and development community are offered to facilitate research in this field and support further innovations. We conclude by identifying novel avenues for further research and innovation and by highlighting the clinical translational potential of the methods. ispartof: NEUROIMAGE vol:235 ispartof: location:United States status: published

Published
2021
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23. A collaborative resource platform for non-human primate neuroimaging

Author

Pamela Garcia-Saldivar, Marcello G. P. Rosa, Daniel R. Glen, Michael P. Milham, Lynn Uhrig, Rogier B. Mars, Rakshit Dadarwal, Xindi Wang, Hugo Merchant, Jakob Seidlitz, Eduardo A. Garza-Villarreal, Ting Xu, Kep Kee Loh, Cirong Liu, Bastien Cagna, Piotr Majka, Henry C. Evrard, Jordy Tasserie, Claude Lepage, Daniel S. Margulies, Adam Messinger, Nikoloz Sirmpilatze, P. Christiaan Klink, Steven Giavasis, Julien Sein, R. Austin Benn, Katja Heuer, Benjamin Jung, Caleb Sponheim, Renée Hartig, Roberto Toro, and Paul A. Taylor

Subjects
0303 health sciences, 03 medical and health sciences, Open science, 0302 clinical medicine, Non human primate, Resource (project management), Neuroimaging, Computer science, Data science, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Neuroimaging non-human primates (NHPs) is a growing, yet highly specialized field of neuroscience. Resources that were primarily developed for human neuroimaging often need to be significantly adapted for use with NHPs or other animals, which has led to an abundance of custom, in-house solutions. In recent years, the global NHP neuroimaging community has made significant efforts to transform the field towards more open and collaborative practices. Here we present the PRIMatE Resource Exchange (PRIME-RE), a new collaborative online platform for NHP neuroimaging. PRIME-RE is a dynamic community-driven hub for the exchange of practical knowledge, specialized analytical tools, and open data repositories, specifically related to NHP neuroimaging. PRIME-RE caters to both researchers and developers who are either new to the field, looking to stay abreast of the latest developments, or seeking to collaboratively advance the field. HighlightsO_LIPRIME-RE is a bottom-up open science platform for non-human primate neuroimaging. C_LIO_LIThe website hosts a wiki and info about analytical tools and open data repositories. C_LIO_LISpecialized tools address structural, functional & diffusion-weighted analysis. C_LIO_LIMultiple templates & atlases for several non-human primate species are highlighted. C_LIO_LICommunication channels facilitate international conversation and collaboration C_LI

Published
2020

24. Predicting Cortical Signatures of Consciousness using Dynamic Functional Connectivity Graph-Convolutional Neural Networks

Author

Béchir Jarraya, Jordy Tasserie, Lynn Uhrig, Vincent Frouin, and Antoine Grigis

Subjects
Artificial neural network, business.industry, Computer science, Deep learning, media_common.quotation_subject, Functional connectivity, Pattern recognition, Convolutional neural network, Level of consciousness, Graph (abstract data type), Artificial intelligence, Consciousness, business, Cluster analysis, Dynamic functional connectivity, media_common
Abstract

Decoding the levels of consciousness from cortical activity recording is a major challenge in neuroscience. Using clustering algorithms, we previously demonstrated that resting-state functional MRI (rsfMRI) data can be split into several clusters also called “brain states” corresponding to “functional configurations” of the brain. Here, we propose to use a selfsupervised machine learning method based on artificial neural networks to predict functional brain states across levels of consciousness from rsfMRI. The Functional Connectivity (FC) matrices reflect the brain-state dynamic at a given time. Because it is key to consider the FC topologies, a specific graph-Convolutional Neural Network (gCNN), namely BrainNetCNN, is considered to predict the brain states in awake and anesthetized nonhuman primates. To avoid the circularity that remains in the training stage, where the target is composed of pseudo-labels, recent self-supervised techniques are implemented. Using a linear probe for the prediction, the network achieves a prediction accuracy consistent with state-of-the-art methods lying in [0.655, 0.759] depending on the experimental settings. To put forward the interest of such a representation, the transition probabilities and the set of connections found to be important for predicting a brain state are computed. This latter is directly linked with the level of consciousness. The results demonstrate that deep learning methods are not only able to predict brain states but also provide additional insight into cortical signatures of consciousness with potential clinical consequences for the monitoring of anesthesia and the diagnosis of disorders of consciousness.

Published
2020

25. Accelerating the Evolution of Nonhuman Primate Neuroimaging

Author

Olivier Coulon, Michael P. Milham, Patrik Lindenfors, Karl-Heinz Nenning, Xiaojin Liu, Ravi S. Menon, Stephanie J. Forkel, Adam Messinger, Zheng Wang, Alexander Thiele, Luciano Simone, Benjamin Jung, Chika Sato, Jamie Nagy, Sean Froudist-Walsh, Kelvin Mok, Renée Hartig, Julien Sein, Alessandro Gozzi, Julien Vezoli, Tomoko Sakai, Lynn Uhrig, Martine Meunier, Christienne G. Damatac, Bonhwang Koo, Roberto Toro, Rogier B. Mars, Henrietta Howells, Lea Roumazeilles, Ming Zhan, Ann-Marie Mallon, Román Rossi-Pool, Elinor L. Sullivan, Yannick Becker, Doris Y. Tsao, Antoine Grigis, Lei Ai, Céline Amiez, Sara Wells, Reza Rajimehr, Aki Nikolaidis, Anna S. Mitchell, Simon M. Reader, Michele A. Basso, Béchir Jarraya, Amir Raz, Wim Vanduffel, Charles R.E. Wilson, Brian E. Russ, Christopher R. Madan, Orlin S. Todorov, Wasana Madushanka, Carole Guedj, Mark A. Pinsk, Clémentine Bodin, Hugo Merchant, Jennifer Nacef, Damien A. Fair, Anna W. Roe, Sze Chai Kwok, Stephen J. Sawiak, Essa Yacoub, Bastien Cagna, Kevin N. Laland, Wilbert Zarco, Charles E. Schroeder, Ting Xu, P. Christiaan Klink, Stanislas Dehaene, Takuya Hayashi, Matthew F. S. Rushworth, Amir Shmuel, Fadila Hadj-Bouziane, Katja Heuer, Ioana-Sabina Rautu, Andrew S. Fox, Austin Benn, Sabine Kastner, Thomas Brochier, Emmanuel Procyk, Marco Pagani, David C. Van Essen, Frank Q. Ye, Dirk Jan Ardesch, Régis Trapeau, Jakob Seidlitz, Marike Schiffer, Bassem Hiba, John H. Morrison, David A. Rudko, Paula L. Croxson, Patrick Friedrich, Augix Guohua Xu, Lazar Fleysher, Piotr Majka, Jonathan Smallwood, Aihua Chen, Timothy D. Griffiths, Fabien Balezeau, Stefan Everling, Michael C. Schmid, Robert Leech, Leslie G. Ungerleider, Mark G. Baxter, Afonso C. Silva, Clare Kelly, Zhi-ming Shen, Daniel S. Margulies, Mark J. Prescott, Pascal Belin, Erwin L. A. Blezer, Igor Kagan, Suliann Ben Hamed, David A. Leopold, Adrien Meguerditchian, Wendy Jarrett, Michel Thiebaut de Schotten, Nikoloz Sirmpilatze, Julia Sliwa, Henry Kennedy, Vikas Pareek, Yong-di Zhou, Michael Ortiz-Rios, Sherif Hamdy El-Gohary, Susann Boretius, Christopher I. Petkov, Pamela Garcia-Saldivar, Bella Williams, Jordy Tasserie, Hank P. Jedema, Jerome Sallet, Pieter R. Roelfsema, Winrich A. Freiwald, Eduardo A. Garza-Villarreal, Noam Harel, Caspar M. Schwiedrzik, Kevin Marche, Colline Poirier, Yang Gao, Henry C. Evrard, Ashkan Alvand, ANS - Cellular & Molecular Mechanisms, Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Institut cellule souche et cerveau (SBRI), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), Collège de France - Chaire Psychologie cognitive expérimentale, Collège de France (CdF (institution)), Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 (ISC-MJ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Consortium, PRIMatE Data Exchange Global Collaboration Workshop and, Nathan S. Kline Institute for Psychiatric Research (NKI), New York State Office of Mental Health, Newcastle University [Newcastle], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, Medical Oncology, Department of Internal Medicine, Università Cattolica del Sacro Cuore [Roma] (Unicatt), Voice Neurocognition Laboratory, University of Glasgow, Oregon Health and Science University [Portland] (OHSU), Manchester Royal Infirmary, University of Manchester [Manchester], Princeton Neuroscience Institute [Princeton], University of Pennsylvania [Philadelphia], National Institute of Mental Health (NIMH), Harvard Medical School [Boston] (HMS), Washington University in St Louis, Laboratoire de psychologie cognitive (LPC), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 (CNC), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, New York University [New York] (NYU), NYU System (NYU), State Key Laboratory of Novel Software Technology, University of Nanjing, Center for Nanotechnology Innovation, @NEST (CNI), National Enterprise for nanoScience and nanoTechnology (NEST), Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA)-Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA), Unité Analyse et Traitement de l'Information (UNATI), Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Neuroimagerie cognitive - Psychologie cognitive expérimentale (UNICOG-U992), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Saclay (COmUE), Institut cellule souche et cerveau (U846 Inserm - UCBL1), Royal Netherlands Academy of Arts and Sciences (KNAW), East China Normal University [Shangaï] (ECNU), The Computational, Cognitive and Clinical Neuroimaging Lab, Imperial College London, Medical Research Council Harwell (Mammalian Genetics Unit and Mary Lyon Centre), Medical Research Counc, Station de primatologie (SP), Centre National de la Recherche Scientifique (CNRS), Institute of Language, Communication and the Brain (ILCB), The University of Western Ontario, Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM), Institute of integrative biology (Liverpool), University of Liverpool, McGovern Institute for Brain Research [Cambridge], Massachusetts Institute of Technology (MIT), University of Cambridge [UK] (CAM), Rockefeller University [New York], McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Laboratory for Neuro- and Psychofysiology, katho, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of York [York, UK], Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Tianjin University of Science and Technology (TUST), Child Mind Institute, Center for Magnetic Resonance Research [Minneapolis] (CMRR), University of Minnesota Medical School, University of Minnesota System-University of Minnesota System, Institut cellule souche et cerveau / Stem Cell and Brain Research Institute (U1208 Inserm - UCBL1 / SBRI), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University Medical Center [Utrecht], Radboud university [Nijmegen], Chaire Psychologie cognitive expérimentale, Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of St Andrews [Scotland], Stockholm University, Hôpital du Bocage, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Princeton University, Utrecht University [Utrecht], Netherlands Institute for Neuroscience, Wellcome Trust Centre for Integrative Neuroimaging (WIN - FMRIB), University of Oxford [Oxford], National Institute of Environmental Health Sciences [Durham] (NIEHS-NIH), National Institutes of Health [Bethesda] (NIH), Oregon National Primate Research Center (ONPRC), California Institute of Technology (CALTECH), Johns Hopkins University (JHU), The PRIMatE Data Exchange (PRIME-DE) Global Collaboration Workshop and Consortium, ANR-16-CONV-0002,ILCB,ILCB: Institute of Language Communication and the Brain(2016), Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Complex Trait Genetics, Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA), and Vanduffel, Wim

Subjects
Primates, 0301 basic medicine, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, education, Neuroimaging, Article, [SPI]Engineering Sciences [physics], 03 medical and health sciences, 0302 clinical medicine, London, Psychology, Animals, Humans, Sociology, ComputingMilieux_MISCELLANEOUS, Cognitive science, Science & Technology, Human Connectome Project, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, Action, intention, and motor control, Information Dissemination, General Neuroscience, Neurosciences, Brain, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, Congresses as Topic, Nonhuman primate, 030104 developmental biology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurosciences & Neurology, Life Sciences & Biomedicine, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery
Abstract

Contains fulltext : 217200.pdf (Publisher’s version ) (Closed access) Nonhuman primate neuroimaging is on the cusp of a transformation, much in the same way its human counterpart was in 2010, when the Human Connectome Project was launched to accelerate progress. Inspired by an open data-sharing initiative, the global community recently met and, in this article, breaks through obstacles to define its ambitions. 4 p.

Published
2020

26. Resting-state Dynamics as a Cortical Signature of Anesthesia in Monkeys

Author

Amaury Jacob, Jacobo D. Sitt, Morgan Dupont, Pablo Barttfeld, Béchir Jarraya, Stanislas Dehaene, Lynn Uhrig, and Jordy Tasserie

Subjects
0301 basic medicine, Male, Rest, Sevoflurane, 03 medical and health sciences, 0302 clinical medicine, Similarity (network science), medicine, Rank (graph theory), Animals, Anesthetics, Brain Mapping, medicine.diagnostic_test, Resting state fMRI, business.industry, Brain, Electroencephalography, Haplorhini, Magnetic Resonance Imaging, 030104 developmental biology, Anesthesiology and Pain Medicine, Anesthesia, Anesthetic, Wakefulness, Female, Functional magnetic resonance imaging, business, Propofol, 030217 neurology & neurosurgery, medicine.drug
Abstract

Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New Background The mechanism by which anesthetics induce a loss of consciousness remains a puzzling problem. We hypothesized that a cortical signature of anesthesia could be found in an increase in similarity between the matrix of resting-state functional correlations and the anatomical connectivity matrix of the brain, resulting in an increased function-structure similarity. Methods We acquired resting-state functional magnetic resonance images in macaque monkeys during wakefulness (n = 3) or anesthesia with propofol (n = 3), ketamine (n = 3), or sevoflurane (n = 3). We used the k-means algorithm to cluster dynamic resting-state data into independent functional brain states. For each condition, we performed a regression analysis to quantify function-structure similarity and the repertoire of functional brain states. Results Seven functional brain states were clustered and ranked according to their similarity to structural connectivity, with higher ranks corresponding to higher function-structure similarity and lower ranks corresponding to lower correlation between brain function and brain anatomy. Anesthesia shifted the brain state composition from a low rank (rounded rank [mean ± SD]) in the awake condition (awake rank = 4 [3.58 ± 1.03]) to high ranks in the different anesthetic conditions (ketamine rank = 6 [6.10 ± 0.32]; moderate propofol rank = 6 [6.15 ± 0.76]; deep propofol rank = 6 [6.16 ± 0.46]; moderate sevoflurane rank = 5 [5.10 ± 0.81]; deep sevoflurane rank = 6 [5.81 ± 1.11]; P < 0.0001). Conclusions Whatever the molecular mechanism, anesthesia led to a massive reconfiguration of the repertoire of functional brain states that became predominantly shaped by brain anatomy (high function-structure similarity), giving rise to a well-defined cortical signature of anesthesia-induced loss of consciousness.

Published
2018

27. Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss

Author

Camilo Miguel Signorelli, Morten L. Kringelbach, Lynn Uhrig, Béchir Jarraya, Gustavo Deco, Neuroimagerie cognitive - Psychologie cognitive expérimentale (UNICOG-U992), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Universitat Pompeu Fabra [Barcelona] (UPF), Computational Neuroscience Research Group (CNRG), Centre for Theoretical Neuroscience, University of Waterloo [Waterloo]-University of Waterloo [Waterloo], Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Sainte Anne [Paris], Aarhus University [Aarhus], University of Oxford, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Hôpital Foch [Suresnes], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, Monash University [Melbourne], CHILE/2016 - 72170507 Comisión Interministerial de Ciencia y Tecnología, CICYT, The authors thank Jordy Tasserie for help with data transfer, Morgan Dupont and Wilfried Pianezzola for help with animal experiments, Alexis Amadon, Hauke Kolster, Laurent Laribière, Jérémy Bernard, Eric Giacomini, Michel Luong, Edouard Chazel, and the NeuroSpin magnetic resonance imaging and informatics teams for help with imaging tools, Sébastien Mériaux and Joël Cotton for animal facilities, and Jean-Robert Deverre, for administrative support, Commissariat à l'Énergie atomique et aux Énergies alternatives (CEA /Joliot). The authors also thank the anonymous reviewers for your relevant remarks and positive consideration. The first author also appreciate the support from Comisión Nacional de Investigación Ciencia y Tecnología (CONICYT, currently ANID) through Programa Formacion de Capital Avanzado (PFCHA), Doctoral scholarship Becas Chile: CONICYT PFCHA/DOCTORADO BECAS CHILE/2016 - 72170507., CCSD, Accord Elsevier, and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Saclay (COmUE)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Male, GNW, Consciousness, Cognitive Neuroscience, media_common.quotation_subject, [SDV]Life Sciences [q-bio], Integration, Biology, Macaque, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, Neural activity, Functional brain, Sevoflurane, 0302 clinical medicine, Cortex (anatomy), biology.animal, medicine, Hierarchical organization, Animals, 0501 psychology and cognitive sciences, Anesthesia, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Propofol, media_common, Cerebral Cortex, Hierarchy (mathematics), 05 social sciences, Ignition, Macaca mulatta, Magnetic Resonance Imaging, Measures of Consciousness, IIT, [SDV] Life Sciences [q-bio], medicine.anatomical_structure, Neurology, Anesthetics, Inhalation, Female, Ketamine, Nerve Net, Neuroscience, 030217 neurology & neurosurgery, Depth of anesthesia, Anesthetics, Intravenous
Abstract

Anesthesia induces a reconfiguration of the repertoire of functional brain states leading to a high function-structure similarity. However, it is unclear how these functional changes lead to loss of consciousness. Here we suggest that the mechanism of conscious access is related to a general dynamical rearrangement of the intrinsic hierarchical organization of the cortex. To measure cortical hierarchy, we applied the Intrinsic Ignition analysis to resting-state fMRI data acquired in awake and anesthetized macaques. Our results reveal the existence of spatial and temporal hierarchical differences of neural activity within the macaque cortex, with a strong modulation by the depth of anesthesia and the employed anesthetic agent. Higher values of Intrinsic Ignition correspond to rich and flexible brain dynamics whereas lower values correspond to poor and rigid, structurally driven brain dynamics. Moreover, spatial and temporal hierarchical dimensions are disrupted in a different manner, involving different hierarchical brain networks. All together suggest that disruption of brain hierarchy is a new signature of consciousness loss. The authors thank Jordy Tasserie for help with data transfer; Morgan Dupont and Wilfried Pianezzola for help with animal experiments; Alexis Amadon, Hauke Kolster, Laurent Laribière, Jérémy Bernard, Eric Giacomini, Michel Luong, Edouard Chazel, and the NeuroSpin magnetic resonance imaging and informatics teams for help with imaging tools; Sébastien Mériaux and Joël Cotton for animal facilities; and Jean-Robert Deverre, for administrative support, Commissariat à l’Énergie atomique et aux Énergies alternatives (CEA /Joliot). The authors also thank the anonymous reviewers for your relevant remarks and positive consideration. The first author also appreciate the support from Comisión Nacional de Investigación Ciencia y Tecnología (CONICYT, currently ANID) through Programa Formacion de Capital Avanzado (PFCHA), Doctoral scholarship Becas Chile: CONICYT PFCHA/DOCTORADO BECAS CHILE/2016 - 72170507.

Published
2020

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