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https://www.readbyqxmd.com/read/28231395/functional-connectivity-in-amygdalar-sensory-pre-motor-networks-at-rest-new-evidence-from-the-human-connectome-project
#1
Nicola Toschi, Andrea Duggento, Luca Passamonti
The word "e-motion" derives from the Latin word "ex-moveo" which literally means "moving away from something / somebody". Emotions are thus fundamental to prime action and goal-directed behavior with obvious implications for individual's survival. However, the brain mechanisms underlying the interactions between emotional and motor cortical systems remain poorly understood. A recent diffusion tensor imaging study in humans has reported the existence of direct anatomical connections between the amygdala and sensory/(pre)motor cortices, corroborating an initial observation in animal research...
February 23, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#2
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227758/mining-cross-frequency-coupling-microstates-from-resting-state-meg-an-application-to-mild-traumatic-brain-injury
#3
Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis, Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis, Michalis Zervakis, Marios Antonakakis, George Zouridakis, Andrew C Papanicolaou, Stavros I Dimitriadis
Recent studies have investigated the possible role of dynamic functional connectivity and the role of cross-frequency coupling (CFC) to provide the substrate for reliable biomarkers of brain disorders. In this study, we analyzed time-varying CFC profiles from resting state Magnetoencephal-ographic recordings of 30 mild Traumatic Brain Injury (mTBI) patients and 50 normal controls. Interactions among sensors at specific pairs of frequency bands were computed via estimation of phase-to-amplitude couplings. We then computed time-varying functional connectivity graphs that were described in terms of segregation (local efficiency, LE) and integration (global efficiency, GE) and mapped those graphs to time series of GE/LE estimates...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227749/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#4
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Nicola Toschi, Maria Guerrisi, Luca Passamonti, Riccardo Barbieri, Gaetano Valenza
Classical multivariate approaches based on Granger causality (GC) which estimate functional connectivity in the brain are almost exclusively based on autoregressive models. Nevertheless, information available from past samples is limited due to both signal autocorrelation and necessarily low model orders. Consequently, multiple time-scales interactions are usually unaccounted for. To overcome these limitations, in this study we propose the use of discrete-time orthogonal Laguerre basis functions within a Wiener-Volterra decomposition of the BOLD signals to perform effective GC assessments of brain functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227408/structural-brain-network-analysis-in-schizophrenia-using-minimum-spanning-tree
#5
Ali Anjomshoa, Mahsa Dolatshahi, Fatemeh Amirkhani, Farzaneh Rahmani, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Ali Anjomshoa, Mahsa Dolatshahi, Fatemeh Amirkhani, Farzaneh Rahmani, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Mehdi M Mirbagheri, Mahsa Dolatshahi, Ali Anjomshoa, Farzaneh Rahmani, Fatemeh Amirkhani, Mohammad Hadi Aarabi
Schizophrenia is a mental disorder in which functional and structural brain networks are disrupted. Classical network analysis has been used by many researchers to quantify brain networks and to study the network changes in schizophrenia, but unfortunately metrics used in this classical method highly depend on the networks' density and weight; the comparisons made by this method are biased. The minimum spanning tree (MST) is an alternative method to solve this problem, but its usefulness in studying the schizophrenic brain network has not been examined yet...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226517/phase-to-amplitude-coupling-as-a-potential-biomarker-for-creative-ideation-an-eeg-study
#6
Mina Marmpena, Stavros I Dimitriadis, Nitish Thakor, Anastasios Bezerianos, Mina Marmpena, Stavros I Dimitriadis, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Mina Marmpena, Nitish Thakor, Anastasios Bezerianos
The most consistent finding of creative ideation in the neuroscientific study of creativity is the increment of EEG α power. However, the majority of existing studies focused only on ERP experimental paradigms while only a few analyzed time-related changes of EEG α power patterns during the time unlocked creation of ideas. Here, we designed an experimental paradigm where the participants were asked to generate alternative uses of everyday objects (AU task). For the control task, we adopted an Object Characteristics (OC) task, for which participants were asked to list typical characteristics or properties of an object...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28223928/commentary-functional-connectome-fingerprint-identifying-individuals-using-patterns-of-brain-connectivity
#7
COMMENT
Claudinei E Biazoli, Giovanni A Salum, Pedro M Pan, André Zugman, Edson Amaro, Luis A Rohde, Euripedes C Miguel, Andrea P Jackowski, Rodrigo A Bressan, João R Sato
No abstract text is available yet for this article.
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28218917/delayed-stabilization-and-individualization-in-connectome-development-are-related-to-psychiatric-disorders
#8
Tobias Kaufmann, Dag Alnæs, Nhat Trung Doan, Christine Lycke Brandt, Ole A Andreassen, Lars T Westlye
The brain functional connectome constitutes a unique fingerprint allowing identification of individuals among a pool of people. Here we establish that the connectome develops into a more stable, individual wiring pattern during adolescence and demonstrate that a delay in this network tuning process is associated with reduced mental health in the formative years of late neurodevelopment.
February 20, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28216318/circuit-homology-between-decussating-pathways-in-the-ciona-larval-cns-and-the-vertebrate-startle-response-pathway
#9
Kerrianne Ryan, Zhiyuan Lu, Ian A Meinertzhagen
Comparing synaptic circuits and networks between brains of different animal groups helps us derive an understanding of how nervous systems might have evolved. The circuits of the startle response pathway in the brains of tailed vertebrates are known from electrophysiological studies on the giant reticulospinal Mauthner cells (M-cells). To identify morphological counterparts in chordate tunicates, a sister group of vertebrates [1, 2], we have compiled a densely reconstructed connectome (defined in [3]) for the CNS in the tadpole larva of Ciona intestinalis (L...
February 14, 2017: Current Biology: CB
https://www.readbyqxmd.com/read/28214981/neural-mechanism-underling-comprehension-of-narrative-speech-and-its-heritability-study-in-a-large-population
#10
Abbas Babajani-Feremi
Comprehension of narratives constitutes a fundamental part of our everyday life experience. Although the neural mechanism of auditory narrative comprehension has been investigated in some studies, the neural correlates underlying this mechanism and its heritability remain poorly understood. We investigated comprehension of naturalistic speech in a large, healthy adult population (n = 429; 176/253 M/F; 22-36 years of age) consisting of 192 twin pairs (49 monozygotic and 47 dizygotic pairs) and 237 of their siblings...
February 18, 2017: Brain Topography
https://www.readbyqxmd.com/read/28209314/connection-between-bilateral-temporal-regions-tractography-using-human-connectome-data-and-diffusion-spectrum-imaging
#11
Peng-Hu Wei, Zhi-Qi Mao, Fei Cong, Bo Wang, Zhi-Pei Ling, Shu-Li Liang, Xin-Guang Yu
Temporal lobe epilepsy often propagates inter-hemispherically. Although the pathway of the propagation was verified by electrophysiology, the trajectory remains poorly defined. DTI can depict fiber trajectory but it has limited angular resolution and cannot adequately assess cortical regions. We visualized potential pathways of bitemporal epilepsy propagation using diffusion spectrum imaging (DSI) with data consisting of 8 groups of 514 directions and diffusion templates of 842 subjects from the human connectome project (HCP)...
February 10, 2017: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia
https://www.readbyqxmd.com/read/28182904/neuroscience-needs-behavior-correcting-a-reductionist-bias
#12
REVIEW
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel
There are ever more compelling tools available for neuroscience research, ranging from selective genetic targeting to optogenetic circuit control to mapping whole connectomes. These approaches are coupled with a deep-seated, often tacit, belief in the reductionist program for understanding the link between the brain and behavior. The aim of this program is causal explanation through neural manipulations that allow testing of necessity and sufficiency claims. We argue, however, that another equally important approach seeks an alternative form of understanding through careful theoretical and experimental decomposition of behavior...
February 8, 2017: Neuron
https://www.readbyqxmd.com/read/28182017/using-connectome-based-predictive-modeling-to-predict-individual-behavior-from-brain-connectivity
#13
Xilin Shen, Emily S Finn, Dustin Scheinost, Monica D Rosenberg, Marvin M Chun, Xenophon Papademetris, R Todd Constable
Neuroimaging is a fast-developing research area in which anatomical and functional images of human brains are collected using techniques such as functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and electroencephalography (EEG). Technical advances and large-scale data sets have allowed for the development of models capable of predicting individual differences in traits and behavior using brain connectivity measures derived from neuroimaging data. Here, we present connectome-based predictive modeling (CPM), a data-driven protocol for developing predictive models of brain-behavior relationships from connectivity data using cross-validation...
March 2017: Nature Protocols
https://www.readbyqxmd.com/read/28179163/the-epidemic-spreading-model-and-the-direction-of-information-flow-in-brain-networks
#14
J Meier, X Zhou, A Hillebrand, P Tewarie, C J Stam, P Van Mieghem
The interplay between structural connections and emerging information flow in the human brain remains an open research problem. A recent study observed global patterns of directional information flow in empirical data using the measure of transfer entropy. For higher frequency bands, the overall direction of information flow was from posterior to anterior regions whereas an anterior-to-posterior pattern was observed in lower frequency bands. In this study, we applied a simple Susceptible-Infected-Susceptible (SIS) epidemic spreading model on the human connectome with the aim to reveal the topological properties of the structural network that give rise to these global patterns...
February 4, 2017: NeuroImage
https://www.readbyqxmd.com/read/28176164/whole-brain-high-resolution-structural-connectome-inter-subject-validation-and-application-to-the-anatomical-segmentation-of-the-striatum
#15
Pierre Besson, Nicolas Carrière, S Kathleen Bandt, Marc Tommasi, Xavier Leclerc, Philippe Derambure, Renaud Lopes, Louise Tyvaert
The present study describes extraction of high-resolution structural connectome (HRSC) in 99 healthy subjects, acquired and made available by the Human Connectome Project. Single subject connectomes were then registered to the common surface space to allow assessment of inter-individual reproducibility of this novel technique using a leave-one-out approach. The anatomic relevance of the surface-based connectome was examined via a clustering algorithm, which identified anatomic subdivisions within the striatum...
February 7, 2017: Brain Topography
https://www.readbyqxmd.com/read/28174617/parameterizable-consensus-connectomes-from-the-human-connectome-project-the-budapest-reference-connectome-server-v3-0
#16
Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz
Connections of the living human brain, on a macroscopic scale, can be mapped by a diffusion MR imaging based workflow. Since the same anatomic regions can be corresponded between distinct brains, one can compare the presence or the absence of the edges, connecting the very same two anatomic regions, among multiple cortices. Previously, we have constructed the consensus braingraphs on 1015 vertices first in five, then in 96 subjects in the Budapest Reference Connectome Server v1.0 and v2.0, respectively. Here we report the construction of the version 3...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28174609/disrupted-development-and-imbalanced-function-in-the-global-neuronal-workspace-a-positive-feedback-mechanism-for-the-emergence-of-asd-in-early-infancy
#17
REVIEW
Chris Fields, James F Glazebrook
Autism spectrum disorder (ASD) is increasingly being conceptualized as a spectrum disorder of connectome development. We review evidence suggesting that ASD is characterized by a positive feedback loop that amplifies small functional variations in early-developing sensory-processing pathways into structural and functional imbalances in the global neuronal workspace. Using vision as an example, we discuss how early functional variants in visual processing may be feedback-amplified to produce variant object categories and disrupted top-down expectations, atypically large expectation-to-perception mismatches, problems re-identifying individual people and objects, socially inappropriate, generally aversive emotional responses and disrupted sensory-motor coordination...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28167349/proportional-thresholding-in-resting-state-fmri-functional-connectivity-networks-and-consequences-for-patient-control-connectome-studies-issues-and-recommendations
#18
Martijn van den Heuvel, Siemon de Lange, Andrew Zalesky, Caio Seguin, Thomas Yeo, Ruben Schmidt
Graph theoretical analysis has become an important tool in the examination of brain dysconnectivity in neurological and psychiatric brain disorders. A common analysis step in the construction of the functional graph or network involves "thresholding" of the connectivity matrix, selecting the set of edges that together form the graph on which network organization is evaluated. To avoid systematic differences in absolute number of edges, studies have argued against the use of an "absolute threshold" in case-control studies and have proposed the use of "proportional thresholding" instead, in which a pre-defined number of strongest connections are selected as network edges, ensuring equal network density across datasets...
February 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28165911/acute-severe-depression-induced-by-stimulation-of-the-right-globus-pallidus-internus
#19
Johanna Philipsson, Rickard L Sjöberg, Jerome Yelnik, Patric Blomstedt
Depressive symptoms may occur after Deep Brain Stimulation (DBS) in the subthalamic nucleus. This is often explained by reduced pharmacological treatment after surgery, and not as a direct effect of DBS. Pallidal DBS seems not to be associated with such side effects and have not, to our knowledge, previously been reported. We present a patient with acute depressive symptoms induced by pallidal DBS. We believe this case strengthen the hypothesis that the basal ganglia and structures involved in the functional connectome of these nucleuses play a role not only in regulation of movement but also in regulation of mood...
February 6, 2017: Neurocase
https://www.readbyqxmd.com/read/28163141/probabilistic-conversion-of-neurosurgical-dbs-electrode-coordinates-into-mni-space
#20
Andreas Horn, Andrea A Kühn, Angela Merkl, Ludy Shih, Ron Alterman, Michael Fox
In neurosurgical literature, findings such as deep brain stimulation (DBS) electrode positions are conventionally reported in relation to the anterior and posterior commissures of the individual patient (AC/PC coordinates). However, the neuroimaging literature including neuroanatomical atlases, activation patterns, and brain connectivity maps has converged on a different population-based standard (MNI coordinates). Ideally, one could relate these two literatures by directly transforming MRIs from neurosurgical patients into MNI space...
February 3, 2017: NeuroImage
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