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Layer-dependent functional connectivity methods

Laurentius (Renzo) Huber, Emily Finn, Yuhui Chai, Rainer Goebel, Ruediger Stirnberg, Tony Stoecker, Sean Marrett, Kamil Uludag, Seong-Gi Kim, SoHuyn Han, Peter Bandettini, Benedikt Poser
2020 Zenodo  
The presented approaches provide whole-brain layer-dependent connectivity data that open a new window to investigate brain network connections.  ...  To become an established method for user-friendly applicability in neuroscience practice, layer-fMRI acquisition and analysis methods need to be extended to more flexible connectivity-based experiment  ...  We thank Kenny Chung and Joe Stolinski for radiographic assistance with experiments conducted at NIH.  ... 
doi:10.5281/zenodo.3635355 fatcat:i6de2k6x25c3hk5hviwtniyon4

Fine-grain atlases of functional modes for fMRI analysis

Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, Bertrand Thirion, Arthur Mensch
2020 NeuroImage  
For this reason, brain images are typically summarized in a few signals, for instance reducing voxel-level measures with brain atlases or functional modes.  ...  In addition to making them available, we provide meaningful names for these modes, based on their anatomical location. It will facilitate reporting of results.  ...  This is useful as the optimal dimensionality for extracting IDPs often depends on the downstream data analysis task.  ... 
doi:10.1016/j.neuroimage.2020.117126 pmid:32673748 fatcat:ffkcrn2q6felrjv5xf2dfvnu7i

Thalamocortical excitability adjustments guide human perception under uncertainty [article]

Julian Quirin Kosciessa, Ulman Lindenberger, Douglas D. Garrett
2020 bioRxiv   pre-print
To test this hypothesis, we recorded non-invasive EEG and fMRI BOLD dynamics while 47 healthy young adults performed a parametric visual attention task with varying numbers of relevant stimulus features  ...  As predicted, uncertainty-related processing adjustments were expressed as switches between a state of phase-dependent excitability modulation in the alpha band and a state of increased irregularity of  ...  Acknowledgements We thank our research assistants and participants for their contributions to the present work, Alistair Perry for assistance in fMRI preprocessing, and Steffen Wiegert for organizational  ... 
doi:10.1101/2020.06.22.165118 fatcat:jgfhqa5d55gl5j576k44dfpwee

25th Annual Computational Neuroscience Meeting: CNS-2016

Tatyana O. Sharpee, Alain Destexhe, Mitsuo Kawato, Vladislav Sekulić, Frances K. Skinner, Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári, Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett (+597 others)
2016 BMC Neuroscience  
These results outline a framework for categorizing neuronal types based on their functional properties.  ...  I will discuss theoretical results that point to functional advantages of splitting neural populations into subtypes, both in feedforward and recurrent networks.  ...  The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of the manuscript.  ... 
doi:10.1186/s12868-016-0283-6 pmid:27534393 pmcid:PMC5001212 fatcat:bt45etzj2bbolfcxlxo7hlv6ju

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes.  ...  One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Likewise, we found a large variability in the difference between the PC responses to learnt and novel pattern stimuli.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
F1 Delineating reward/avoidance decision process in the impulsive-compulsive spectrum disorders through a probabilistic reversal learning task  ...  only a tiny fraction of visual input information for further processing.  ...  Acknowledgments: The research reported here was supported, in part, by NSF grant #1544383 and in part by AFOSR grant #FA9550-16-1-0410.  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

2018 BMC Neuroscience  
Acknowledgements This research was supported by NIH grant NS086082 and a GSU Brains and Behavior Seed Grant (DNC), N.H. is a Brains and Behavior and Honeycutt Fellow; A.A.P. is a 2CI Neurogenomics and  ...  Gutzen for fruitful discussions.  ...  In summary, through a novel data-driven framework which expands on a recent approach for optimal identifiability on test-retest data, we can detect the most important structural connections and subsequent  ... 
doi:10.1186/s12868-018-0452-x pmid:30373544 pmcid:PMC6205781 fatcat:xv7pgbp76zbdfksl545xof2vzy

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
To address this problem, we used a chronically implanted microdrive with independently movable electrodes to map the depth dependence of spatially tuned local field potentials (LFP) in PFC of Rhesus macaques  ...  [W 98] Induced Roelofs effect in reaching Bahareh Taghizadeh 1 and Alexander Gail 1,2* *Alexander.Gail@mail.gwdg.de  ...  These techniques aim to extract task-processing information contained in the patterns of voxel activation that form the multivariate BOLD time series.  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi

Introduction to JINS Special Issue on Human Brain Connectivity in the Modern Era: Relevance to Understanding Health and Disease

Deanna M. Barch, Mieke Verfaellie, Stephen M. Rao
2016 Journal of the International Neuropsychological Society  
JINS Vo l u m e 2 2 , N u m b e r 2 F e b r u a r y 2 0 1 6 I S S N 1 3 5 5 -6 1 7 7  ...  Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function.  ...  Scanning was carried out at the Athinoula A.  ... 
doi:10.1017/s1355617716000047 fatcat:f2preenihbes5ftkrxbo7tgt64

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Adam J. H. Newton, Alexandra H. Seidenstein, Robert A. McDougal, Alberto Pérez-Cervera, Gemma Huguet, Tere M-Seara, Caroline Haimerl, David Angulo-Garcia, Alessandro Torcini, Rosa Cossart, Arnaud Malvache, Kaoutar Skiker (+526 others)
2017 BMC Neuroscience  
Utilizing the sparsity of natural scenes, we derive a compressive-sensing based theoretical framework for network input reconstructions based on neuronal firing rate dynamics [1, 2].  ...  This suggests a novel direction for compressive sensing theory and sampling methodology in engineered devices.  ...  All fMRI data were collected using a 3-Telsa Siemens Skyra scanner and processed using the Data Processing Assistant for Resting-State fMRI, which is based on SPM and Resting-State fMRI Data Analysis Toolkit  ... 
doi:10.1186/s12868-017-0372-1 fatcat:q5x3vgivujgshmtthc6ki4fcfu

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

Sue Denham, Panayiota Poirazi, Erik De Schutter, Karl Friston, Ho Ka Chan, Thomas Nowotny, Dongqi Han, Sungho Hong, Sophie Rosay, Tanja Wernle, Alessandro Treves, Sarah Goethals (+90 others)
2017 BMC Neuroscience  
Utilizing the sparsity of natural scenes, we derive a compressive-sensing based theoretical framework for network input reconstructions based on neuronal firing rate dynamics [1, 2].  ...  This suggests a novel direction for compressive sensing theory and sampling methodology in engineered devices.  ...  All fMRI data were collected using a 3-Telsa Siemens Skyra scanner and processed using the Data Processing Assistant for Resting-State fMRI, which is based on SPM and Resting-State fMRI Data Analysis Toolkit  ... 
doi:10.1186/s12868-017-0370-3 fatcat:qq2cmqlotbg7vpqlqmmcql4u5i

Abstracts of the 15th Annual Meeting of the Israel Society for Neuroscience (Eilat, Israel, December 3–5, 2006)

2007 Neural Plasticity  
The Israel Society for Neuroscience (ISFN) was founded in 1993 by a group of Israeli leading scientists conducting research in the area of neurobiology.  ...  Hotel in Eilat, Israel.  ...  Acknowledgments: we thank Yael Handler, Mor Nahum, and Sarit Szpiro for their contribution.  ... 
doi:10.1155/2007/73079 fatcat:6ttewkzqh5cmzb433ffyv3t5xi

Poster Session III

2010 Neuropsychopharmacology  
We then employed an omission session in which the rat was rewarded for not pressing the lever (omitted responses) followed by an extinction probe test session to measure responsiveness towards the lever  ...  The persistence of abnormal behaviors induced by chronic LSD are not a direct result of LSD because they are present in the absence of drug.  ...  Cholesterol and flotillin, markers for lipid rafts, peaked in factions 4-5 whereas the transferrin receptor and total protein, markers for non-raft membranes, peaked in fractions 9-11.  ... 
doi:10.1038/npp.2010.218 fatcat:i5knteqsgveybffza7g6b4iqei

CORPORATE CONTRIBUTORS

1988 The Hastings center report  
The phasic mode also produces greater response to stimuli. Recent data indicates that LC responses differ not only between LC modes, as just discussed, but also among different psychological tasks.  ...  Stimulus or behavior differences are coded by changes in neural activity on columnar or sub-columnar scales, but the hemodynamic response limits the resolution of standard Gradient Echo (GE) BOLD fMRI  ...  This biologically plausible network accounts for differences in the typical correct versus incorrect responses to content-dependent and content-independent versions of the Wason task respectively.  ... 
doi:10.1002/j.1552-146x.1988.tb03932.x fatcat:bkotcyah2ngbfdk4kbx3xnf5v4

Poster Session III

2011 Neuropsychopharmacology  
In sum, our findings reveal a novel role for FMRP in the processes underlying alterations in the brain and behavior that occur in response to repeated cocaine exposure.  ...  Mice were exposed to chronic intermittent ethanol vapor in inhalation chambers for 3 cycles of 8-h intoxication / 16-h withdrawal, and a time-course of handling-induced convulsions was conducted to evaluate  ...  A covariance analysis referred to as Multivariate Linear Modeling (MLM; Worsley et al., 1997) was applied to the pre-and post-SD fMRI data.  ... 
doi:10.1038/npp.2011.293 fatcat:o4t4mbgxcbax7fgl5vb2dzbep4
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