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https://www.readbyqxmd.com/read/28334252/individualized-prediction-of-reading-comprehension-ability-using-gray-matter-volume
#1
Zaixu Cui, Mengmeng Su, Liangjie Li, Hua Shu, Gaolang Gong
Reading comprehension is a crucial reading skill for learning and putatively contains 2 key components: reading decoding and linguistic comprehension. Current understanding of the neural mechanism underlying these reading comprehension components is lacking, and whether and how neuroanatomical features can be used to predict these 2 skills remain largely unexplored. In the present study, we analyzed a large sample from the Human Connectome Project (HCP) dataset and successfully built multivariate predictive models for these 2 skills using whole-brain gray matter volume features...
March 10, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28328993/agreement-between-functional-connectivity-and-cortical-thickness-driven-correlation-maps-of-the-medial-frontal-cortex
#2
Hyunjin Park, Yeong-Hun Park, Jungho Cha, Sang Won Seo, Duk L Na, Jong-Min Lee
Parcellation of the human cortex has important implications in neuroscience. Parcellation is often a crucial requirement before meaningful regional analysis can occur. The human cortex can be parcellated into distinct regions based on structural features, such as gyri and sulci. Brain network patterns in a given region with respect to its neighbors, known as connectional fingerprints, can be used to parcellate the cortex. Distinct imaging modalities might provide complementary information for brain parcellation...
2017: PloS One
https://www.readbyqxmd.com/read/28327935/science-in-the-cloud-sic-a-use-case-in-mri-connectomics
#3
Gregory Kiar, Krzysztof J Gorgolewski, Dean Kleissas, William Gray Roncal, Brian Litt, Brian Wandell, Russel A Poldrack, Martin Wiener, R Jacob Vogelstein, Randal Burns, Joshua T Vogelstein
Modern technologies are enabling scientists to collect extraordinary amounts of complex and sophisticated data across a huge range of scales like never before. With this onslaught of data, we can allow the focal point to shift from data collection to data analysis. Unfortunately, lack of standardized sharing mechanisms and practices often make reproducing or extending scientific results very difficult. With the creation of data organization structures and tools which drastically improve code portability, we now have the opportunity to design such a framework for communicating extensible scientific discoveries...
March 7, 2017: GigaScience
https://www.readbyqxmd.com/read/28326011/the-virtual-trial
#4
Willem de Haan
Although brain network analysis in neurodegenerative disease is still a fairly young discipline, expectations are high. The robust theoretical basis, the straightforward detection and explanation of otherwise intangible complex system phenomena, and the correlations of network features with pathology and cognitive status are qualities that show the potential power of this new instrument. We expect "connectomics" to eventually better explain and predict that essential but still poorly understood aspect of dementia: the relation between pathology and cognitive symptoms...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28325027/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#5
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/28323202/enhanced-structural-connectivity-within-a-brain-sub-network-supporting-working-memory-and-engagement-processes-after-cognitive-training
#6
Francisco J Román, Yasser Iturria-Medina, Kenia Martínez, Sherif Karama, Miguel Burgaleta, Alan C Evans, Susanne M Jaeggi, Roberto Colom
The structural connectome provides relevant information about experience and training-related changes in the brain. Here, we used network-based statistics (NBS) and graph theoretical analyses to study structural changes in the brain as a function of cognitive training. Fifty-six young women were divided in two groups (experimental and control). We assessed their cognitive function before and after completing a working memory intervention using a comprehensive battery that included fluid and crystallized abilities, working memory and attention control, and we also obtained structural MRI images...
March 16, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28302591/benchmarking-of-participant-level-confound-regression-strategies-for-the-control-of-motion-artifact-in-studies-of-functional-connectivity
#7
Rastko Ciric, Daniel H Wolf, Jonathan D Power, David R Roalf, Graham Baum, Kosha Ruparel, Russell T Shinohara, Mark A Elliott, Simon B Eickhoff, Christos Davatzikos, Ruben C Gur, Raquel E Gur, Danielle S Bassett, Theodore D Satterthwaite
Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of participant-level confound regression methods to limit its impact. However, many of the most commonly used techniques have not been systematically evaluated using a broad range of outcome measures. Here, we provide a systematic evaluation of 14 participant-level confound regression methods in 393 young adults. Specifically, we compare methods according to four benchmarks, including the residual relationship between motion and connectivity, distance-dependent effects of motion on connectivity, network identifiability, and additional degrees of freedom lost in confound regression...
March 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28298886/mapping-and-analysis-of-the-connectome-of-sympathetic-premotor-neurons-in-the-rostral-ventrolateral-medulla-of-the-rat-using-a-volumetric-brain-atlas
#8
Bowen Dempsey, Sheng Le, Anita Turner, Phil Bokiniec, Radhika Ramadas, Jan G Bjaalie, Clement Menuet, Rachael Neve, Andrew M Allen, Ann K Goodchild, Simon McMullan
Spinally projecting neurons in the rostral ventrolateral medulla (RVLM) play a critical role in the generation of vasomotor sympathetic tone and are thought to receive convergent input from neurons at every level of the neuraxis; the factors that determine their ongoing activity remain unresolved. In this study we use a genetically restricted viral tracing strategy to definitively map their spatially diffuse connectome. We infected bulbospinal RVLM neurons with a recombinant rabies variant that drives reporter expression in monosynaptically connected input neurons and mapped their distribution using an MRI-based volumetric atlas and a novel image alignment and visualization tool that efficiently translates the positions of neurons captured in conventional photomicrographs to Cartesian coordinates...
2017: Frontiers in Neural Circuits
https://www.readbyqxmd.com/read/28295344/connectomics-of-synaptic-microcircuits-lessons-from-the-outer-retina
#9
Luke Edward Rogerson, Christian Behrens, Thomas Euler, Philipp Berens, Timm Schubert
Photoreceptors form a sophisticated synaptic complex with bipolar and horizontal cells, transmitting the signals generated by the phototransduction cascade to downstream retinal circuitry. The cone photoreceptor synapse shows several characteristic anatomical connectivity motifs that shape signal transfer: Typically, ON-cone bipolar cells receive photoreceptor input through invaginating synapses; OFF-cone bipolar cells form basal synapses with photoreceptors. Both ON- and OFF-cone bipolar cells are believed to sample from all cone photoreceptors within their dendritic span...
March 10, 2017: Journal of Physiology
https://www.readbyqxmd.com/read/28294464/assessing-connectivity-related-injury-burden-in-diffuse-traumatic-brain-injury
#10
Berkan Solmaz, Birkan Tunç, Drew Parker, John Whyte, Tessa Hart, Amanda Rabinowitz, Morgan Rohrbach, Junghoon Kim, Ragini Verma
Many of the clinical and behavioral manifestations of traumatic brain injury (TBI) are thought to arise from disruption to the structural network of the brain due to diffuse axonal injury (DAI). However, a principled way of summarizing diffuse connectivity alterations to quantify injury burden is lacking. In this study, we developed a connectome injury score, Disruption Index of the Structural Connectome (DISC), which summarizes the cumulative effects of TBI-induced connectivity abnormalities across the entire brain...
March 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28293484/structural-and-functional-hyperconnectivity-within-the-sensorimotor-system-in-xenomelia
#11
Jürgen Hänggi, Deborah A Vitacco, Leonie M Hilti, Roger Luechinger, Bernd Kraemer, Peter Brugger
INTRODUCTION: Xenomelia is a rare condition characterized by the persistent and compulsive desire for the amputation of one or more physically healthy limbs. We highlight the neurological underpinnings of xenomelia by assessing structural and functional connectivity by means of whole-brain connectome and network analyses of regions previously implicated in empirical research in this condition. METHODS: We compared structural and functional connectivity between 13 xenomelic men with matched controls using diffusion tensor imaging combined with fiber tractography and resting state functional magnetic resonance imaging...
March 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28293478/disrupted-brain-network-functional-dynamics-and-hyper-correlation-of-structural-and-functional-connectome-topology-in-patients-with-breast-cancer-prior-to-treatment
#12
Shelli R Kesler, Marjorie Adams, Melissa Packer, Vikram Rao, Ashley M Henneghan, Douglas W Blayney, Oxana Palesh
INTRODUCTION: Several previous studies have demonstrated that cancer chemotherapy is associated with brain injury and cognitive dysfunction. However, evidence suggests that cancer pathogenesis alone may play a role, even in non-CNS cancers. METHODS: Using a multimodal neuroimaging approach, we measured structural and functional connectome topology as well as functional network dynamics in newly diagnosed patients with breast cancer. Our study involved a novel, pretreatment assessment that occurred prior to the initiation of any cancer therapies, including surgery with anesthesia...
March 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28291247/enhancing-studies-of-the-connectome-in-autism-using-the-autism-brain-imaging-data-exchange-ii
#13
Adriana Di Martino, David O'Connor, Bosi Chen, Kaat Alaerts, Jeffrey S Anderson, Michal Assaf, Joshua H Balsters, Leslie Baxter, Anita Beggiato, Sylvie Bernaerts, Laura M E Blanken, Susan Y Bookheimer, B Blair Braden, Lisa Byrge, F Xavier Castellanos, Mirella Dapretto, Richard Delorme, Damien A Fair, Inna Fishman, Jacqueline Fitzgerald, Louise Gallagher, R Joanne Jao Keehn, Daniel P Kennedy, Janet E Lainhart, Beatriz Luna, Stewart H Mostofsky, Ralph-Axel Müller, Mary Beth Nebel, Joel T Nigg, Kirsten O'Hearn, Marjorie Solomon, Roberto Toro, Chandan J Vaidya, Nicole Wenderoth, Tonya White, R Cameron Craddock, Catherine Lord, Bennett Leventhal, Michael P Milham
The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent with the initial ABIDE effort (ABIDE I), that released 1112 datasets in 2012, this new multisite open-data resource is an aggregate of resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI and phenotypic datasets. ABIDE II includes datasets from an additional 487 individuals with ASD and 557 controls previously collected across 16 international institutions...
March 14, 2017: Scientific Data
https://www.readbyqxmd.com/read/28275720/hetereogeneity-in-neuronal-intrinsic-properties-a-possible-mechanism-for-hub-like-properties-of-the-rat-anterior-cingulate-cortex-during-network-activity
#14
Natalie E Adams, Jason S Sherfey, Nancy J Kopell, Miles A Whittington, Fiona E N LeBeau
The anterior cingulate cortex (ACC) is vital for a range of brain functions requiring cognitive control and has highly divergent inputs and outputs, thus manifesting as a hub in connectomic analyses. Studies show diverse functional interactions within the ACC are associated with network oscillations in the β (20-30 Hz) and γ (30-80 Hz) frequency range. Oscillations permit dynamic routing of information within cortex, a function that depends on bandpass filter-like behavior to selectively respond to specific inputs...
January 2017: ENeuro
https://www.readbyqxmd.com/read/28275122/a-statistical-model-for-brain-networks-inferred-from-large-scale-electrophysiological-signals
#15
Catalina Obando, Fabrizio De Vico Fallani
Network science has been extensively developed to characterize the structural properties of complex systems, including brain networks inferred from neuroimaging data. As a result of the inference process, networks estimated from experimentally obtained biological data represent one instance of a larger number of realizations with similar intrinsic topology. A modelling approach is therefore needed to support statistical inference on the bottom-up local connectivity mechanisms influencing the formation of the estimated brain networks...
March 2017: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/28274264/a-unique-pattern-of-cortical-connectivity-characterizes-patients-with-attention-deficit-disorders-a-large-electroencephalographic-coherence-study
#16
Frank H Duffy, Aditi Shankardass, Gloria B McAnulty, Heidelise Als
BACKGROUND: Attentional disorders (ADD) feature decreased attention span, impulsivity, and over-activity interfering with successful lives. Childhood onset ADD frequently persists to adulthood. Etiology may be hereditary or disease associated. Prevalence is 5% but recognition may be 'overshadowed' by comorbidities (brain injury, mood disorder) thereby escaping formal recognition. Blinded diagnosis by MRI has failed. ADD may not itself manifest a single anatomical pattern of brain abnormality but may reflect multiple, unique responses to numerous and diverse etiologies...
March 9, 2017: BMC Medicine
https://www.readbyqxmd.com/read/28269506/mining-cross-frequency-coupling-microstates-from-resting-state-meg-an-application-to-mild-traumatic-brain-injury
#17
Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis
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/28269497/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#18
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
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/28269178/structural-brain-network-analysis-in-schizophrenia-using-minimum-spanning-tree
#19
Ali Anjomshoa, Mahsa Dolatshahi, Fatemeh Amirkhani, Farzaneh Rahmani, Mehdi M Mirbagheri, 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/28268354/phase-to-amplitude-coupling-as-a-potential-biomarker-for-creative-ideation-an-eeg-study
#20
Mina Marmpena, Stavros I Dimitriadis, 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
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