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https://www.readbyqxmd.com/read/29718139/ion-channels-in-eeg-isolating-channel-dysfunction-in-nmda-receptor-antibody-encephalitis
#1
Mkael Symmonds, Catherine H Moran, M Isabel Leite, Camilla Buckley, Sarosh R Irani, Klaas Enno Stephan, Karl J Friston, Rosalyn J Moran
Neurological and psychiatric practice frequently lack diagnostic probes that can assess mechanisms of neuronal communication non-invasively in humans. In N-methyl-d-aspartate (NMDA) receptor antibody encephalitis, functional molecular assays are particularly important given the presence of NMDA antibodies in healthy populations, the multifarious symptomology and the lack of radiological signs. Recent advances in biophysical modelling techniques suggest that inferring cellular-level properties of neural circuits from macroscopic measures of brain activity is possible...
April 30, 2018: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/29581379/visual-mismatch-and-predictive-coding-a-computational-single-trial-erp-study
#2
Gabor Stefanics, Jakob Heinzle, András Attila Horváth, Klaas Enno Stephan
Predictive coding (PC) posits that the brain employs a generative model to infer the environmental causes of its sensory data and uses precision-weighted prediction errors (pwPE) to continuously update this model. While supported by much circumstantial evidence, experimental tests grounded in formal trial-by-trial predictions are rare. One partial exception are event-related potential (ERP) studies of the auditory mismatch negativity (MMN), where computational models have found signatures of pwPEs and related model-updating processes...
March 26, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/29538381/taxonomy-based-on-science-is-necessary-for-global-conservation
#3
Scott A Thomson, Richard L Pyle, Shane T Ahyong, Miguel Alonso-Zarazaga, Joe Ammirati, Juan Francisco Araya, John S Ascher, Tracy Lynn Audisio, Valter M Azevedo-Santos, Nicolas Bailly, William J Baker, Michael Balke, Maxwell V L Barclay, Russell L Barrett, Ricardo C Benine, James R M Bickerstaff, Patrice Bouchard, Roger Bour, Thierry Bourgoin, Christopher B Boyko, Abraham S H Breure, Denis J Brothers, James W Byng, David Campbell, Luis M P Ceríaco, István Cernák, Pierfilippo Cerretti, Chih-Han Chang, Soowon Cho, Joshua M Copus, Mark J Costello, Andras Cseh, Csaba Csuzdi, Alastair Culham, Guillermo D'Elía, Cédric d'Udekem d'Acoz, Mikhail E Daneliya, René Dekker, Edward C Dickinson, Timothy A Dickinson, Peter Paul van Dijk, Klaas-Douwe B Dijkstra, Bálint Dima, Dmitry A Dmitriev, Leni Duistermaat, John P Dumbacher, Wolf L Eiserhardt, Torbjørn Ekrem, Neal L Evenhuis, Arnaud Faille, José L Fernández-Triana, Emile Fiesler, Mark Fishbein, Barry G Fordham, André V L Freitas, Natália R Friol, Uwe Fritz, Tobias Frøslev, Vicki A Funk, Stephen D Gaimari, Guilherme S T Garbino, André R S Garraffoni, József Geml, Anthony C Gill, Alan Gray, Felipe G Grazziotin, Penelope Greenslade, Eliécer E Gutiérrez, Mark S Harvey, Cornelis J Hazevoet, Kai He, Xiaolan He, Stephan Helfer, Kristofer M Helgen, Anneke H van Heteren, Francisco Hita Garcia, Norbert Holstein, Margit K Horváth, Peter H Hovenkamp, Wei Song Hwang, Jaakko Hyvönen, Melissa B Islam, John B Iverson, Michael A Ivie, Zeehan Jaafar, Morgan D Jackson, J Pablo Jayat, Norman F Johnson, Hinrich Kaiser, Bente B Klitgård, Dániel G Knapp, Jun-Ichi Kojima, Urmas Kõljalg, Jenő Kontschán, Frank-Thorsten Krell, Irmgard Krisai-Greilhuber, Sven Kullander, Leonardo Latella, John E Lattke, Valeria Lencioni, Gwilym P Lewis, Marcos G Lhano, Nathan K Lujan, Jolanda A Luksenburg, Jean Mariaux, Jader Marinho-Filho, Christopher J Marshall, Jason F Mate, Molly M McDonough, Ellinor Michel, Vitor F O Miranda, Mircea-Dan Mitroiu, Jesús Molinari, Scott Monks, Abigail J Moore, Ricardo Moratelli, Dávid Murányi, Takafumi Nakano, Svetlana Nikolaeva, John Noyes, Michael Ohl, Nora H Oleas, Thomas Orrell, Barna Páll-Gergely, Thomas Pape, Viktor Papp, Lynne R Parenti, David Patterson, Igor Ya Pavlinov, Ronald H Pine, Péter Poczai, Jefferson Prado, Divakaran Prathapan, Richard K Rabeler, John E Randall, Frank E Rheindt, Anders G J Rhodin, Sara M Rodríguez, D Christopher Rogers, Fabio de O Roque, Kevin C Rowe, Luis A Ruedas, Jorge Salazar-Bravo, Rodrigo B Salvador, George Sangster, Carlos E Sarmiento, Dmitry S Schigel, Stefan Schmidt, Frederick W Schueler, Hendrik Segers, Neil Snow, Pedro G B Souza-Dias, Riaan Stals, Soili Stenroos, R Douglas Stone, Charles F Sturm, Pavel Štys, Pablo Teta, Daniel C Thomas, Robert M Timm, Brian J Tindall, Jonathan A Todd, Dagmar Triebel, Antonio G Valdecasas, Alfredo Vizzini, Maria S Vorontsova, Jurriaan M de Vos, Philipp Wagner, Les Watling, Alan Weakley, Francisco Welter-Schultes, Daniel Whitmore, Nicholas Wilding, Kipling Will, Jason Williams, Karen Wilson, Judith E Winston, Wolfgang Wüster, Douglas Yanega, David K Yeates, Hussam Zaher, Guanyang Zhang, Zhi-Qiang Zhang, Hong-Zhang Zhou
No abstract text is available yet for this article.
March 2018: PLoS Biology
https://www.readbyqxmd.com/read/29369526/generative-models-for-clinical-applications-in-computational-psychiatry
#4
REVIEW
Stefan Frässle, Yu Yao, Dario Schöbi, Eduardo A Aponte, Jakob Heinzle, Klaas E Stephan
Despite the success of modern neuroimaging techniques in furthering our understanding of cognitive and pathophysiological processes, translation of these advances into clinically relevant tools has been virtually absent until now. Neuromodeling represents a powerful framework for overcoming this translational deadlock, and the development of computational models to solve clinical problems has become a major scientific goal over the last decade, as reflected by the emergence of clinically oriented neuromodeling fields like Computational Psychiatry, Computational Neurology, and Computational Psychosomatics...
January 25, 2018: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/29100083/high-rate-of-recurrent-de-novo-mutations-in-developmental-and-epileptic-encephalopathies
#5
Fadi F Hamdan, Candace T Myers, Patrick Cossette, Philippe Lemay, Dan Spiegelman, Alexandre Dionne Laporte, Christina Nassif, Ousmane Diallo, Jean Monlong, Maxime Cadieux-Dion, Sylvia Dobrzeniecka, Caroline Meloche, Kyle Retterer, Megan T Cho, Jill A Rosenfeld, Weimin Bi, Christine Massicotte, Marguerite Miguet, Ledia Brunga, Brigid M Regan, Kelly Mo, Cory Tam, Amy Schneider, Georgie Hollingsworth, David R FitzPatrick, Alan Donaldson, Natalie Canham, Edward Blair, Bronwyn Kerr, Andrew E Fry, Rhys H Thomas, Joss Shelagh, Jane A Hurst, Helen Brittain, Moira Blyth, Robert Roger Lebel, Erica H Gerkes, Laura Davis-Keppen, Quinn Stein, Wendy K Chung, Sara J Dorison, Paul J Benke, Emily Fassi, Nicole Corsten-Janssen, Erik-Jan Kamsteeg, Frederic T Mau-Them, Ange-Line Bruel, Alain Verloes, Katrin Õunap, Monica H Wojcik, Dara V F Albert, Sunita Venkateswaran, Tyson Ware, Dean Jones, Yu-Chi Liu, Shekeeb S Mohammad, Peyman Bizargity, Carlos A Bacino, Vincenzo Leuzzi, Simone Martinelli, Bruno Dallapiccola, Marco Tartaglia, Lubov Blumkin, Klaas J Wierenga, Gabriela Purcarin, James J O'Byrne, Sylvia Stockler, Anna Lehman, Boris Keren, Marie-Christine Nougues, Cyril Mignot, Stéphane Auvin, Caroline Nava, Susan M Hiatt, Martina Bebin, Yunru Shao, Fernando Scaglia, Seema R Lalani, Richard E Frye, Imad T Jarjour, Stéphanie Jacques, Renee-Myriam Boucher, Emilie Riou, Myriam Srour, Lionel Carmant, Anne Lortie, Philippe Major, Paola Diadori, François Dubeau, Guy D'Anjou, Guillaume Bourque, Samuel F Berkovic, Lynette G Sadleir, Philippe M Campeau, Zoha Kibar, Ronald G Lafrenière, Simon L Girard, Saadet Mercimek-Mahmutoglu, Cyrus Boelman, Guy A Rouleau, Ingrid E Scheffer, Heather C Mefford, Danielle M Andrade, Elsa Rossignol, Berge A Minassian, Jacques L Michaud
Developmental and epileptic encephalopathy (DEE) is a group of conditions characterized by the co-occurrence of epilepsy and intellectual disability (ID), typically with developmental plateauing or regression associated with frequent epileptiform activity. The cause of DEE remains unknown in the majority of cases. We performed whole-genome sequencing (WGS) in 197 individuals with unexplained DEE and pharmaco-resistant seizures and in their unaffected parents. We focused our attention on de novo mutations (DNMs) and identified candidate genes containing such variants...
November 2, 2017: American Journal of Human Genetics
https://www.readbyqxmd.com/read/28774650/rapid-anatomical-brain-imaging-using-spiral-acquisition-and-an-expanded-signal-model
#6
Lars Kasper, Maria Engel, Christoph Barmet, Maximilian Haeberlin, Bertram J Wilm, Benjamin E Dietrich, Thomas Schmid, Simon Gross, David O Brunner, Klaas E Stephan, Klaas P Pruessmann
We report the deployment of spiral acquisition for high-resolution structural imaging at 7T. Long spiral readouts are rendered manageable by an expanded signal model including static off-resonance and B0 dynamics along with k-space trajectories and coil sensitivity maps. Image reconstruction is accomplished by inversion of the signal model using an extension of the iterative non-Cartesian SENSE algorithm. Spiral readouts up to 25 ms are shown to permit whole-brain 2D imaging at 0.5 mm in-plane resolution in less than a minute...
March 2018: NeuroImage
https://www.readbyqxmd.com/read/28767650/the-stochastic-early-reaction-inhibition-and-late-action-seria-model-for-antisaccades
#7
Eduardo A Aponte, Dario Schöbi, Klaas E Stephan, Jakob Heinzle
The antisaccade task is a classic paradigm used to study the voluntary control of eye movements. It requires participants to suppress a reactive eye movement to a visual target and to concurrently initiate a saccade in the opposite direction. Although several models have been proposed to explain error rates and reaction times in this task, no formal model comparison has yet been performed. Here, we describe a Bayesian modeling approach to the antisaccade task that allows us to formally compare different models on the basis of their evidence...
August 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28619481/computational-psychosomatics-and-computational-psychiatry-toward-a-joint-framework-for-differential-diagnosis
#8
REVIEW
Frederike H Petzschner, Lilian A E Weber, Tim Gard, Klaas E Stephan
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference-control loop, may be used to guide differential diagnosis in computational psychiatry and computational psychosomatics. In particular, we discuss 1) how conceptualizing perception and action as inference-control loops yields a joint computational perspective on brain-world and brain-body interactions and 2) how the concrete formulation of this loop as a hierarchical Bayesian model points to key computational quantities that inform a taxonomy of potential disease mechanisms...
September 15, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28612049/episodic-tags-enhance-striatal-valuation-signals-during-temporal-discounting-in-pathological-gamblers
#9
Antonius Wiehler, Frederike Hermi Petzschner, Klaas Enno Stephan, Jan Peters
Similar to many addiction disorders, pathological gambling is associated with an increased preference for immediate rewards (steep temporal discounting). In healthy participants, episodic future thinking has been shown to reduce impulsivity during intertemporal choice. Here, we examine for the first time a modulation of temporal discounting via episodic future thinking in a group of pathological gamblers. We investigated a sample of 24 pathological gamblers and 24 matched healthy controls with functional magnetic resonance imaging (fMRI)...
May 2017: ENeuro
https://www.readbyqxmd.com/read/28259780/regression-dcm-for-fmri
#10
Stefan Frässle, Ekaterina I Lomakina, Adeel Razi, Karl J Friston, Joachim M Buhmann, Klaas E Stephan
The development of large-scale network models that infer the effective (directed) connectivity among neuronal populations from neuroimaging data represents a key challenge for computational neuroscience. Dynamic causal models (DCMs) of neuroimaging and electrophysiological data are frequently used for inferring effective connectivity but are presently restricted to small graphs (typically up to 10 regions) in order to keep model inversion computationally feasible. Here, we present a novel variant of DCM for functional magnetic resonance imaging (fMRI) data that is suited to assess effective connectivity in large (whole-brain) networks...
March 1, 2017: NeuroImage
https://www.readbyqxmd.com/read/28179228/dietary-nitrate-does-not-reduce-oxygen-cost-of-exercise-or-improve-muscle-mitochondrial-function-in-patients-with-mitochondrial-myopathy
#11
Miranda Nabben, Joep P J Schmitz, Jolita Ciapaite, Carlijn M P le Clercq, Natal A van Riel, Harm R Haak, Klaas Nicolay, Irenaeus F M de Coo, Hubert Smeets, Stephan F Praet, Luc J van Loon, Jeanine J Prompers
Muscle weakness and exercise intolerance negatively affect the quality of life of patients with mitochondrial myopathy. Short-term dietary nitrate supplementation has been shown to improve exercise performance and reduce oxygen cost of exercise in healthy humans and trained athletes. We investigated whether 1 wk of dietary inorganic nitrate supplementation decreases the oxygen cost of exercise and improves mitochondrial function in patients with mitochondrial myopathy. Ten patients with mitochondrial myopathy (40 ± 5 yr, maximal whole body oxygen uptake = 21...
May 1, 2017: American Journal of Physiology. Regulatory, Integrative and Comparative Physiology
https://www.readbyqxmd.com/read/28119508/hierarchical-prediction-errors-in-midbrain-and-septum-during-social-learning
#12
Andreea O Diaconescu, Christoph Mathys, Lilian A E Weber, Lars Kasper, Jan Mauer, Klaas E Stephan
Social learning is fundamental to human interactions, yet its computational and physiological mechanisms are not well understood. One prominent open question concerns the role of neuromodulatory transmitters. We combined fMRI, computational modelling and genetics to address this question in two separate samples (N = 35, N = 47). Participants played a game requiring inference on an adviser's intentions whose motivation to help or mislead changed over time. Our analyses suggest that hierarchically structured belief updates about current advice validity and the adviser's trustworthiness, respectively, depend on different neuromodulatory systems...
April 1, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/28077303/analysis-and-correction-of-field-fluctuations-in-fmri-data-using-field-monitoring
#13
Saskia Bollmann, Lars Kasper, S Johanna Vannesjo, Andreea O Diaconescu, Benjamin E Dietrich, Simon Gross, Klaas E Stephan, Klaas P Pruessmann
This work investigates the role of magnetic field fluctuations as a confound in fMRI. In standard fMRI experiments with single-shot EPI acquisition at 3 Tesla the uniform and gradient components of the magnetic field were recorded with NMR field sensors. By principal component analysis it is found that differences of field evolution between the EPI readouts are explainable by few components relating to slow and within-shot field dynamics of hardware and physiological origin. The impact of fluctuating field components is studied by selective data correction and assessment of its influence on image fluctuation and SFNR...
July 1, 2017: NeuroImage
https://www.readbyqxmd.com/read/28011043/prediction-of-individual-differences-from-neuroimaging-data
#14
EDITORIAL
Vince D Calhoun, Stephan M Lawrie, Janaina Mourao-Miranda, Klaas E Stephan
No abstract text is available yet for this article.
January 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/27895566/allostatic-self-efficacy-a-metacognitive-theory-of-dyshomeostasis-induced-fatigue-and-depression
#15
Klaas E Stephan, Zina M Manjaly, Christoph D Mathys, Lilian A E Weber, Saee Paliwal, Tim Gard, Marc Tittgemeyer, Stephen M Fleming, Helene Haker, Anil K Seth, Frederike H Petzschner
This paper outlines a hierarchical Bayesian framework for interoception, homeostatic/allostatic control, and meta-cognition that connects fatigue and depression to the experience of chronic dyshomeostasis. Specifically, viewing interoception as the inversion of a generative model of viscerosensory inputs allows for a formal definition of dyshomeostasis (as chronically enhanced surprise about bodily signals, or, equivalently, low evidence for the brain's model of bodily states) and allostasis (as a change in prior beliefs or predictions which define setpoints for homeostatic reflex arcs)...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27846219/pharmacological-fingerprints-of-contextual-uncertainty
#16
Louise Marshall, Christoph Mathys, Diane Ruge, Archy O de Berker, Peter Dayan, Klaas E Stephan, Sven Bestmann
Successful interaction with the environment requires flexible updating of our beliefs about the world. By estimating the likelihood of future events, it is possible to prepare appropriate actions in advance and execute fast, accurate motor responses. According to theoretical proposals, agents track the variability arising from changing environments by computing various forms of uncertainty. Several neuromodulators have been linked to uncertainty signalling, but comprehensive empirical characterisation of their relative contributions to perceptual belief updating, and to the selection of motor responses, is lacking...
November 2016: PLoS Biology
https://www.readbyqxmd.com/read/27832957/the-physio-toolbox-for-modeling-physiological-noise-in-fmri-data
#17
Lars Kasper, Steffen Bollmann, Andreea O Diaconescu, Chloe Hutton, Jakob Heinzle, Sandra Iglesias, Tobias U Hauser, Miriam Sebold, Zina-Mary Manjaly, Klaas P Pruessmann, Klaas E Stephan
BACKGROUND: Physiological noise is one of the major confounds for fMRI. A common class of correction methods model noise from peripheral measures, such as ECGs or pneumatic belts. However, physiological noise correction has not emerged as a standard preprocessing step for fMRI data yet due to: (1) the varying data quality of physiological recordings, (2) non-standardized peripheral data formats and (3) the lack of full automatization of processing and modeling physiology, required for large-cohort studies...
January 30, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/27801751/extraintestinal-manifestations-of-pediatric-inflammatory-bowel-disease-prevalence-presentation-and-anti-tnf-treatment
#18
Thomas Greuter, Fabio Bertoldo, Roman Rechner, Alex Straumann, Luc Biedermann, Jonas Zeitz, Benjamin Misselwitz, Michael Scharl, Gerhard Rogler, Ekaterina Safroneeva, Raja A R Ali, Christian Braegger, Klaas Heyland, Pascal Mueller, Andreas Nydegger, Laetitia-Marie Petit, Susanne Schibli, Raoul I Furlano, Johannes Spalinger, Michela Schäppi, Samuel Zamora, Florian Froehlich, Denise Herzog, Alain M Schoepfer, Stephan R Vavricka
BACKGROUND: There is a paucity of data on extraintestinal manifestations (EIM) and their treatment in pediatric patients with inflammatory bowel disease (IBD). METHODS: Since 2008, the Pediatric Swiss IBD Cohort Study has collected data on the pediatric IBD population in Switzerland. Data on 329 patients were analyzed retrospectively. RESULTS: A total of 55 patients (16.7%) experienced 1-4 EIM (39 Crohn disease, 12 ulcerative colitis, and 4 IBD-unclassified patients)...
August 2017: Journal of Pediatric Gastroenterology and Nutrition
https://www.readbyqxmd.com/read/27653804/models-of-neuromodulation-for-computational-psychiatry
#19
REVIEW
Sandra Iglesias, Sara Tomiello, Maya Schneebeli, Klaas E Stephan
Psychiatry faces fundamental challenges: based on a syndrome-based nosology, it presently lacks clinical tests to infer on disease processes that cause symptoms of individual patients and must resort to trial-and-error treatment strategies. These challenges have fueled the recent emergence of a novel field-computational psychiatry-that strives for mathematical models of disease processes at physiological and computational (information processing) levels. This review is motivated by one particular goal of computational psychiatry: the development of 'computational assays' that can be applied to behavioral or neuroimaging data from individual patients and support differential diagnosis and guiding patient-specific treatment...
May 2017: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/27450778/the-dysconnection-hypothesis-2016
#20
REVIEW
Karl Friston, Harriet R Brown, Jakob Siemerkus, Klaas E Stephan
Twenty years have passed since the dysconnection hypothesis was first proposed (Friston and Frith, 1995; Weinberger, 1993). In that time, neuroscience has witnessed tremendous advances: we now live in a world of non-invasive neuroanatomy, computational neuroimaging and the Bayesian brain. The genomics era has come and gone. Connectomics and large-scale neuroinformatics initiatives are emerging everywhere. So where is the dysconnection hypothesis now? This article considers how the notion of schizophrenia as a dysconnection syndrome has developed - and how it has been enriched by recent advances in clinical neuroscience...
October 2016: Schizophrenia Research
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