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https://www.readbyqxmd.com/read/28731567/integration-of-white-matter-network-is-associated-with-interindividual-differences-in-psychologically-mediated-placebo-response-in-migraine-patients
#1
Jixin Liu, Shaohui Ma, Junya Mu, Tao Chen, Qing Xu, Wanghuan Dun, Jie Tian, Ming Zhang
Individual differences of brain changes of neural communication and integration in the modular architecture of the human brain network exist for the repeated migraine attack and physical or psychological stressors. However, whether the interindividual variability in the migraine brain connectome predicts placebo response to placebo treatment is still unclear. Using DTI and graph theory approaches, we systematically investigated the topological organization of white matter networks in 71 patients with migraine without aura (MO) and 50 matched healthy controls at three levels: global network measure, nodal efficiency, and nodal intramodule/intermodule efficiency...
July 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28729929/picture-free-recall-performance-linked-to-the-brain-s-structural-connectome
#2
David Coynel, Leo Gschwind, Matthias Fastenrath, Virginie Freytag, Annette Milnik, Klara Spalek, Andreas Papassotiropoulos, Dominique J-F de Quervain
INTRODUCTION: Memory functions are highly variable between healthy humans. The neural correlates of this variability remain largely unknown. METHODS: Here, we investigated how differences in free recall performance are associated with DTI-based properties of the brain's structural connectome and with grey matter volumes in 664 healthy young individuals tested in the same MR scanner. RESULTS: Global structural connectivity, but not overall or regional grey matter volumes, positively correlated with recall performance...
July 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28729831/investigating-focal-connectivity-deficits-in-alzheimer-s-disease-using-directional-brain-networks-derived-from-resting-state-fmri
#3
Sinan Zhao, D Rangaprakash, Archana Venkataraman, Peipeng Liang, Gopikrishna Deshpande
Connectivity analysis of resting-state fMRI has been widely used to identify biomarkers of Alzheimer's disease (AD) based on brain network aberrations. However, it is not straightforward to interpret such connectivity results since our understanding of brain functioning relies on regional properties (activations and morphometric changes) more than connections. Further, from an interventional standpoint, it is easier to modulate the activity of regions (using brain stimulation, neurofeedback, etc.) rather than connections...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28725185/reticular-formation-and-pain-the-past-and-the-future
#4
REVIEW
Isabel Martins, Isaura Tavares
The involvement of the reticular formation (RF) in the transmission and modulation of nociceptive information has been extensively studied. The brainstem RF contains several areas which are targeted by spinal cord afferents conveying nociceptive input. The arrival of nociceptive input to the RF may trigger alert reactions which generate a protective/defense reaction to pain. RF neurons located at the medulla oblongata and targeted by ascending nociceptive information are also involved in the control of vital functions that can be affected by pain, namely cardiovascular control...
2017: Frontiers in Neuroanatomy
https://www.readbyqxmd.com/read/28718765/a-connectome-of-a-learning-and-memory-center-in-the-adult-drosophila-brain
#5
Shin-Ya Takemura, Yoshinori Aso, Toshihide Hige, Allan Wong, Zhiyuan Lu, C Shan Xu, Patricia K Rivlin, Harald F Hess, Ting Zhao, Toufiq Parag, Stuart Berg, Gary Huang, William Katz, Donald J Olbris, Stephen Plaza, Lowell Umayam, Roxanne Aniceto, Lei-Ann Chang, Shirley Lauchie, Omotara Ogundeyi, Christopher Ordish, Aya Shinomiya, Christopher Sigmund, Satoko Takemura, Julie Tran, Glenn C Turner, Gerald M Rubin, Louis K Scheffer
Understanding memory formation, storage and retrieval requires knowledge of the underlying neuronal circuits. In Drosophila, the mushroom body (MB) is the major site of associative learning. We reconstructed the morphologies and synaptic connections of all 983 neurons within the three functional units, or compartments, that compose the adult MB's α lobe, using a dataset of isotropic 8-nm voxels collected by focused ion-beam milling scanning electron microscopy. We found that Kenyon cells (KCs), whose sparse activity encodes sensory information, each make multiple en passant synapses to MB output neurons (MBONs) in each compartment...
July 18, 2017: ELife
https://www.readbyqxmd.com/read/28718304/the-role-of-surgery-in-low-grade-gliomas-do-timing-and-extent-of-resection-matter
#6
Hugues Duffau
Hugues Duffau is a Professor and Chairman of the Neurosurgery Department in the Montpellier University Medical Center and Head of the INSERM 1051 Team "plasticity of the central nervous system, human stem cells and glial tumors" at the Institute for Neurosciences of Montpellier (France). He is an expert in the awake cognitive neurosurgery of slow-growing brain tumors, such as low-grade gliomas, a routine which he has developed since 20 years. His fundamental approach is centered on the concepts of the brain connectomics and neuroplasticity, breaking with the traditional localizationist view of cerebral processing...
July 18, 2017: CNS Oncology
https://www.readbyqxmd.com/read/28716967/contextual-and-developmental-differences-in-the-neural-architecture-of-cognitive-control
#7
Raluca Petrican, Cheryl L Grady
Since both development and context impact functional brain architecture, the neural connectivity signature of a cognitive or affective predisposition may similarly vary across different ages and circumstances. To test this hypothesis, we investigated the effects of age and cognitive versus social-affective context on the stable and time-varying neural architecture of inhibition, the putative core cognitive control component, in a subsample (N= 359 [22-36 yrs], 174 men) of the Human Connectome Project. Among younger individuals, a neural signature of superior inhibition emerged in both stable and dynamic connectivity analyses...
July 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28716961/the-structural-basis-of-large-scale-functional-connectivity-in-the-mouse
#8
Joanes Grandjean, Valerio Zerbi, Joshua Balsters, Nicole Wenderoth, Markus Rudina
Translational neuroimaging requires approaches and techniques that can bridge between multiple different species and disease states. One candidate method, which offers insights into the brain's functional connectivity (FC), is resting state fMRI (rs-fMRI). In both humans and non-human primates, patterns of functional connectivity (often referred to as the functional connectome) have been related to the underlying structural connectivity (structural connectome). Given the recent rise in pre-clinical neuroimaging of mouse models it is an important question whether the mouse functional connectome conforms to the underlying structural connectivity...
July 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28716714/functional-density-and-edge-maps-characterizing-functional-architecture-in-individuals-and-improving-cross-subject-registration
#9
Tong Tong, Iman Aganj, Tian Ge, Jonathan R Polimeni, Bruce Fischl
Population-level inferences and individual-level analyses are two important aspects in functional magnetic resonance imaging (fMRI) studies. Extracting reliable and informative features from fMRI data that capture biologically meaningful inter-subject variation is critical for aligning and comparing functional networks across subjects, and connecting the properties of functional brain organization with variations in behavior, cognition and genetics. In this study, we derive two new measures, which we term functional density map and edge map, and demonstrate their usefulness in characterizing the function of individual brains...
July 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28710040/evaluating-the-replicability-specificity-and-generalizability-of-connectome-fingerprints
#10
Lea Waller, Henrik Walter, Johann D Kruschwitz, Lucia Reuter, Sabine Müller, Susanne Erk, Ilya M Veer
Establishing reliable, robust, and unique brain signatures from neuroimaging data is a prerequisite for precision psychiatry, and therefore a highly sought-after goal in contemporary neuroscience. Recently, the procedure of connectome fingerprinting, using brain functional connectivity profiles as such signatures, was shown to be able to accurately identify individuals from a group of 126 subjects from the Human Connectome Project (HCP). However, the specificity and generalizability of this procedure were not tested...
July 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/28708060/synem-automated-synapse-detection-for-connectomics
#11
Benedikt Staffler, Manuel Berning, Kevin M Boergens, Anjali Gour, Patrick van der Smagt, Moritz Helmstaedter
Nerve tissue contains a high density of chemical synapses, about 1 per µm(3) in the mammalian cerebral cortex. Thus, even for small blocks of nerve tissue, dense connectomic mapping requires the identification of millions to billions of synapses. While the focus of connectomic data analysis has been on neurite reconstruction, synapse detection becomes limiting when datasets grow in size and dense mapping is required. Here, we report SynEM, a method for automated detection of synapses from conventionally en-bloc stained 3D electron microscopy image stacks...
July 14, 2017: ELife
https://www.readbyqxmd.com/read/28694776/visualization-interaction-and-tractometry-dealing-with-millions-of-streamlines-from-diffusion-mri-tractography
#12
Francois Rheault, Jean-Christophe Houde, Maxime Descoteaux
Recently proposed tractography and connectomics approaches often require a very large number of streamlines, in the order of millions. Generating, storing and interacting with these datasets is currently quite difficult, since they require a lot of space in memory and processing time. Compression is a common approach to reduce data size. Recently such an approach has been proposed consisting in removing collinear points in the streamlines. Removing points from streamlines results in files that cannot be robustly post-processed and interacted with existing tools, which are for the most part point-based...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28687517/comparing-test-retest-reliability-of-dynamic-functional-connectivity-methods
#13
Ann S Choe, Mary Beth Nebel, Anita D Barber, Jessica R Cohen, Yuting Xu, James J Pekar, Brian Caffo, Martin A Lindquist
Due to the dynamic, condition-dependent nature of brain activity, interest in estimating rapid functional connectivity (FC) changes that occur during resting-state functional magnetic resonance imaging (rs-fMRI) has recently soared. However, studying dynamic FC is methodologically challenging, due to the low signal-to-noise ratio of the blood oxygen level dependent (BOLD) signal in fMRI and the massive number of data points generated during the analysis. Thus, it is important to establish methods and summary measures that maximize reliability and the utility of dynamic FC to provide insight into brain function...
July 5, 2017: NeuroImage
https://www.readbyqxmd.com/read/28686785/liquid-crystal-phantom-for-validation-of-microscopic-diffusion-anisotropy-measurements-on-clinical-mri-systems
#14
Markus Nilsson, Johan Larsson, Dan Lundberg, Filip Szczepankiewicz, Thomas Witzel, Carl-Fredrik Westin, Karin Bryskhe, Daniel Topgaard
PURPOSE: To develop a phantom for validating MRI pulse sequences and data processing methods to quantify microscopic diffusion anisotropy in the human brain. METHODS: Using a liquid crystal consisting of water, detergent, and hydrocarbon, we designed a 0.5-L spherical phantom showing the theoretically highest possible degree of microscopic anisotropy. Data were acquired on the Connectome scanner using echo-planar imaging signal readout and diffusion encoding with axisymmetric b-tensors of varying magnitude, anisotropy, and orientation...
July 7, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28684947/connectomics-2-0-connected-or-not-is-this-the-question
#15
COMMENT
Jerzy P Szaflarski
No abstract text is available yet for this article.
May 2017: Epilepsy Currents
https://www.readbyqxmd.com/read/28684331/fiberprint-a-subject-fingerprint-based-on-sparse-code-pooling-for-white-matter-fiber-analysis
#16
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews
White matter characterization studies use the information provided by diffusion magnetic resonance imaging (dMRI) to draw cross-population inferences. However, the structure, function, and white matter geometry vary across individuals. Here, we propose a subject fingerprint, called Fiberprint, to quantify the individual uniqueness in white matter geometry using fiber trajectories. We learn a sparse coding representation for fiber trajectories by mapping them to a common space defined by a dictionary. A subject fingerprint is then generated by applying a pooling function for each bundle, thus providing a vector of bundle-wise features describing a particular subject's white matter geometry...
July 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28684174/developmental-connectomics-from-infancy-through-early-childhood
#17
REVIEW
Miao Cao, Hao Huang, Yong He
The human brain undergoes rapid growth in both structure and function from infancy through early childhood, and this significantly influences cognitive and behavioral development in later life. A newly emerging research framework, developmental connectomics, provides unprecedented opportunities for exploring the developing brain through non-invasive mapping of structural and functional connectivity patterns. Within this framework, we review recent neuroimaging and neurophysiological studies investigating connectome development from 20 postmenstrual weeks to 5 years of age...
July 3, 2017: Trends in Neurosciences
https://www.readbyqxmd.com/read/28679796/the-ol1mpiad-concordance-of-behavioural-faculties-of-stage-1-and-stage-3-drosophila-larvae
#18
Maria J Almeida-Carvalho, Dimitri Berh, Andreas Braun, Yi-Chun Chen, Katharina Eichler, Claire Eschbach, Pauline M J Fritsch, Bertram Gerber, Nina Hoyer, Xiaoyi Jiang, Jörg Kleber, Christian Klämbt, Christian König, Matthieu Louis, Birgit Michels, Anton Miroschnikow, Christen Mirth, Daisuke Miura, Thomas Niewalda, Nils Otto, Emmanouil Paisios, Michael J Pankratz, Meike Petersen, Noel Ramsperger, Nadine Randel, Benjamin Risse, Timo Saumweber, Philipp Schlegel, Michael Schleyer, Peter Soba, Simon G Sprecher, Teiichi Tanimura, Andreas S Thum, Naoko Toshima, Jim W Truman, Ayse Yarali, Marta Zlatic
Mapping brain function to brain structure is a fundamental task for neuroscience. For such an endeavour, the Drosophila larva is simple enough to be tractable, yet complex enough to be interesting. It features about 10,000 neurons and is capable of various taxes, kineses and Pavlovian conditioning. All its neurons are currently being mapped into a light-microscopical atlas, and Gal4 strains are being generated to experimentally access neurons one at a time. In addition, an electron microscopic reconstruction of its nervous system seems within reach...
July 1, 2017: Journal of Experimental Biology
https://www.readbyqxmd.com/read/28676985/functional-connectivity-density-mapping-comparing-multiband-and-conventional-epi-protocols
#19
Alexander D Cohen, Dardo Tomasi, Ehsan Shokri-Kojori, Andrew S Nencka, Yang Wang
Functional connectivity density mapping (FCDM) is a newly developed data-driven technique that quantifies the number of local and global functional connections for each voxel in the brain. In this study, we evaluated reproducibility, sensitivity, and specificity of both local functional connectivity density (lFCD) and global functional connectivity density (gFCD). We compared these metrics using the human connectome project (HCP) compatible high-resolution (2 mm isotropic, TR = 0.8 s) multiband (MB), and more typical, lower resolution (3...
July 4, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28675490/the-significance-of-negative-correlations-in-brain-connectivity
#20
Liang Zhan, Lisanne M Jenkins, Ouri E Wolfson, Johnson Jonaris GadElkarim, Kevin Nocito, Paul M Thompson, Olusola A Ajilore, Moo K Chung, Alex D Leow
Understanding the modularity of functional magnetic resonance imaging (fMRI)-derived brain networks or "connectomes" can inform the study of brain function organization. However, fMRI connectomes additionally involve negative edges, which may not be optimally accounted for by existing approaches to modularity that variably threshold, binarize, or arbitrarily weight these connections. Consequently, many existing Q maximization-based modularity algorithms yield variable modular structures. Here, we present an alternative complementary approach that exploits how frequent the blood-oxygen-level-dependent (BOLD) signal correlation between two nodes is negative...
July 4, 2017: Journal of Comparative Neurology
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