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https://www.readbyqxmd.com/read/28647485/dynamic-network-model-with-continuous-valued-nodes-for-longitudinal-brain-morphometry
#1
Rong Chen, Yuanjie Zheng, Erika Nixon, Edward H Herskovits
Longitudinal brain morphometry probes time-related brain morphometric patterns. We propose a method called dynamic network modeling with continuous valued nodes to generate a dynamic brain network from continuous valued longitudinal morphometric data. The mathematical framework of this method is based on state-space modeling. We use a bootstrap-enhanced least absolute shrinkage operator to solve the network-structure generation problem. In contrast to discrete dynamic Bayesian network modeling, the proposed method enables network generation directly from continuous valued high-dimensional short sequence data, being free from any discretization process...
June 21, 2017: NeuroImage
https://www.readbyqxmd.com/read/28647484/neural-representation-of-geometry-and-surface-properties-in-object-and-scene-perception
#2
Matthew X Lowe, Jason Rajsic, Jason P Gallivan, Susanne Ferber, Jonathan S Cant
Multiple cortical regions are crucial for perceiving the visual world, yet the processes shaping representations in these regions are unclear. To address this issue, we must elucidate how perceptual features shape representations of the environment. Here, we explore how the weighting of different visual features affects neural representations of objects and scenes, focusing on the scene-selective parahippocampal place area (PPA), but additionally including the retrosplenial complex (RSC), occipital place area (OPA), lateral occipital (LO) area, fusiform face area (FFA) and occipital face area (OFA)...
June 21, 2017: NeuroImage
https://www.readbyqxmd.com/read/28647483/demands-on-response-inhibition-processes-determine-modulations-of-theta-band-activity-in-superior-frontal-areas-and-correlations-with-pupillometry-implications-for-the-norepinephrine-system-during-inhibitory-control
#3
Gabriel Dippel, Moritz M├╝ckschel, Tjalf Ziemssen, Christian Beste
Response inhi bition processes are important for goal-directed behavior and particularly demanded when it is unlikely to inhibit automatically executed responses. It has been suggested that the norepinephrine (NE) system is important to consider for such likelihood effects. As an indirect measure of the NE system activity we used the pupil diameter and integrated this data with neurophysiological (EEG) data and beamforming analyses. The study shows that inhibitory control processes reflected by theta oscillations are strongly modulated by the likelihood to employ these processes and that these mechanisms were related to neural processes in the SMA and SFG...
June 21, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645845/the-feature-weighted-receptive-field-an-interpretable-encoding-model-for-complex-feature-spaces
#4
REVIEW
Ghislain St-Yves, Thomas Naselaris
We introduce the feature-weighted receptive field (fwRF), an encoding model designed to balance expressiveness, interpretability and scalability. The fwRFis organized around the notion of a feature map-a transformation of visual stimuli into visual features that preserves the topology of visual space (but not necessarily the native resolution of the stimulus). The key assumption of the fwRFmodel is that activity in each voxel encodes variation in a spatially localized region across multiple feature maps. This region is fixed for all feature maps; however, the contribution of each feature map to voxel activity is weighted...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645844/modelling-and-interpreting-mesoscale-network-dynamics
#5
REVIEW
Ankit N Khambhati, Ann E Sizemore, Richard F Betzel, Danielle S Bassett
Recent advances in brain imaging techniques, measurement approaches, and storage capacities have provided an unprecedented supply of high temporal resolution neural data. These data present a remarkable opportunity to gain a mechanistic understanding not just of circuit structure, but also of circuit dynamics, and its role in cognition and disease. Such understanding necessitates a description of the raw observations, and a delineation of computational models and mathematical theories that accurately capture fundamental principles behind the observations...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645843/longitudinal-changes-in-reading-network-connectivity-related-to-skill-improvement
#6
Jessica Wise Younger, Elliot Tucker-Drob, James R Booth
Attempts to characterize the neural differences between individuals with and without dyslexia generally point to reduced activation in and connectivity between brain areas in a reading network composed of the inferior frontal gyrus, the ventral occipito-temporal cortex, and the dorsal temporo-parietal circuit. However, developmental work on brain activity during reading has indicated that some brain areas show developmental decreases in activation with age. Thus, reading network connectivity may also show decreases that are positively associated with increases in reading ability...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645842/opennft-an-open-source-python-matlab-framework-for-real-time-fmri-neurofeedback-training-based-on-activity-connectivity-and-multivariate-pattern-analysis
#7
Yury Koush, John Ashburner, Evgeny Prilepin, Ronald Sladky, Peter Zeidman, Sergei Bibikov, Frank Scharnowski, Artem Nikonorov, Dimitri Van De Ville
Neurofeedback based on real-time functional magnetic resonance imaging (rt-fMRI) is a novel and rapidly developing research field. It allows for training of voluntary control over localized brain activity and connectivity and has demonstrated promising clinical applications. Because of the rapid technical developments of MRI techniques and the availability of high-performance computing, new methodological advances in rt-fMRI neurofeedback become possible. Here we outline the core components of a novel open-source neurofeedback framework, termed Open NeuroFeedback Training (OpenNFT), which efficiently integrates these new developments...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645841/how-do-self-interest-and-other-need-interact-in-the-brain-to-determine-altruistic-behavior
#8
Jie Hu, Yue Li, Yunlu Yin, Philip R Blue, Hongbo Yu, Xiaolin Zhou
Altruistic behavior, i.e., promoting the welfare of others at a cost to oneself, is subserved by the integration of various social, affective, and economic factors represented in extensive brain regions. However, it is unclear how different regions interact to process/integrate information regarding the helper's interest and recipient's need when deciding whether to behave altruistically. Here we combined an interactive game with functional Magnetic Resonance Imaging (fMRI) and transcranial direct current stimulation (tDCS) to characterize the neural network underlying the processing/integration of self-interest and other-need...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645840/autoreject-automated-artifact-rejection-for-meg-and-eeg-data
#9
Mainak Jas, Denis A Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
We present an automated algorithm for unified rejection and repair of bad trials in magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method capitalizes on cross-validation in conjunction with a robust evaluation metric to estimate the optimal peak-to-peak threshold - a quantity commonly used for identifying bad trials in M/EEG. This approach is then extended to a more sophisticated algorithm which estimates this threshold for each sensor yielding trial-wise bad sensors. Depending on the number of bad sensors, the trial is then repaired by interpolation or by excluding it from subsequent analysis...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28633972/the-neural-basis-of-form-and-form-motion-integration-from-static-and-dynamic-translational-glass-patterns-a-rtms-investigation
#10
Andrea Pavan, Filippo Ghin, Rita Donato, Gianluca Campana, George Mather
A long-held view of the visual system is that form and motion are independently analysed. However, there is physiological and psychophysical evidence of early interaction in the processing of form and motion. In this study, we used a combination of Glass patterns (GPs) and repetitive Transcranial Magnetic Stimulation (rTMS) to investigate in human observers the neural mechanisms underlying form-motion integration. GPs consist of randomly distributed dot pairs (dipoles) that induce the percept of an oriented stimulus...
June 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28633971/manganese-enhanced-magnetic-resonance-imaging-depicts-brain-activity-in-models-of-acute-and-chronic-pain-a-new-window-to-study-experimental-spontaneous-pain
#11
I M Devonshire, J J Burston, L Xu, A Lillywhite, M J Prior, D J G Watson, C M Greenspon, S J Iwabuchi, D P Auer, V Chapman
Application of functional imaging techniques to animal models is vital to understand pain mechanisms, but is often confounded by the need to limit movement artefacts with anaesthesia, and a focus on evoked responses rather than clinically relevant spontaneous pain and related hyperalgesia. The aim of the present study was to investigate the potential of manganese-enhanced magnetic resonance imaging (MEMRI) to measure neural responses during on-going pain that underpins hyperalgesia in pre-clinical models of nociception...
June 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28629977/neural-representations-of-the-concepts-in-simple-sentences-concept-activation-prediction-and-context-effects
#12
Marcel Adam Just, Jing Wang, Vladimir L Cherkassky
Although it has been possible to identify individual concepts from a concept's brain activation pattern, there have been significant obstacles to identifying a proposition from its fMRI signature. Here we demonstrate the ability to decode individual prototype sentences from readers' brain activation patterns, by using theory-driven regions of interest and semantic properties. It is possible to predict the fMRI brain activation patterns evoked by propositions and words which are entirely new to the model with reliably above-chance rank accuracy...
June 16, 2017: NeuroImage
https://www.readbyqxmd.com/read/28629976/mapbot-meta-analytic-parcellation-based-on-text-and-its-application-to-the-human-thalamus
#13
Rui Yuan, Paul A Taylor, Tara L Alvarez, Durga Mishra, Bharat B Biswal
Meta-analysis of neuroimaging results has proven to be a popular and valuable method to study human brain functions. A number of studies have used meta-analysis to parcellate distinct brain regions. A popular way to perform meta-analysis is typically based on the reported activation coordinates from a number of published papers. However, in addition to the coordinates associated with the different brain regions, the text itself contains considerably amount of additional information. This textual information has been largely ignored in meta-analyses where it may be useful for simultaneously parcellating brain regions and studying their characteristics...
June 16, 2017: NeuroImage
https://www.readbyqxmd.com/read/28629975/anatomical-and-functional-properties-of-the-foot-and-leg-representation-in-areas-3b-1-and-2-of-primary-somatosensory-cortex-in-humans-a-7t-fmri-study
#14
Michel Akselrod, Roberto Martuzzi, Andrea Serino, Wietske van der Zwaag, Roger Gassert, Olaf Blanke
Primary somatosensory cortex (S1) processes somatosensory information and is composed of multiple subregions. In particular, tactile information from the skin is encoded in three subregions, namely Brodmann areas (BAs) 3b, 1 and 2, with each area representing a complete map of the contralateral body. Although, much is known about the somatotopic organization of the hand in human S1, less research has been carried out regarding the somatotopic maps of the foot and leg in S1. Moreover, a latero-medial S1 organization along the superior part of the postcentral gyrus has been reported when moving from hip to toes, yet to date there is no study investigating leg/foot maps within the different subregions of S1...
June 16, 2017: NeuroImage
https://www.readbyqxmd.com/read/28629974/the-effects-of-changes-in-object-location-on-object-identity-detection-a-simultaneous-eeg-fmri-study
#15
Ping Yang, Chenggui Fan, Min Wang, Noa Fogelson, Ling Li
Object identity and location are bound together to form a unique integration that is maintained and processed in visual working memory (VWM). Changes in task-irrelevant object location have been shown to impair the retrieval of memorial representations and the detection of object identity changes. However, the neural correlates of this cognitive process remain largely unknown. In the present study, we aim to investigate the underlying brain activation during object color change detection and the modulatory effects of changes in object location and VWM load...
June 16, 2017: NeuroImage
https://www.readbyqxmd.com/read/28625875/individual-differences-in-functional-connectivity-during-naturalistic-viewing-conditions
#16
Tamara Vanderwal, Jeffrey Eilbott, Emily S Finn, R Cameron Craddock, Adam Turnbull, F Xavier Castellanos
Naturalistic viewing paradigms such as movies have been shown to reduce participant head motion and improve arousal during fMRI scanning relative to task-free rest, and have been used to study both functional connectivity and stimulus-evoked BOLD-signal changes. These task-based hemodynamic changes are synchronized across subjects and involve large areas of the cortex, and it is unclear whether individual differences in functional connectivity are enhanced or diminished under such naturalistic conditions. This work first aims to characterize variability in BOLD-signal based functional connectivity (FC) across 2 distinct movie conditions and eyes-open rest (n=31 healthy adults, 2 scan sessions each)...
June 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/28624645/cingulo-opercular-activity-affects-incidental-memory-encoding-for-speech-in-noise
#17
Kenneth I Vaden, Susan Teubner-Rhodes, Jayne B Ahlstrom, Judy R Dubno, Mark A Eckert
Correctly understood speech in difficult listening conditions is often difficult to remember. A long-standing hypothesis for this observation is that the engagement of cognitive resources to aid speech understanding can limit resources available for memory encoding. This hypothesis is consistent with evidence that speech presented in difficult conditions typically elicits greater activity throughout cingulo-opercular regions of frontal cortex that are proposed to optimize task performance through adaptive control of behavior and tonic attention...
June 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/28627364/modulating-perceptual-complexity-and-load-reveals-degradation-of-the-visual-working-memory-network-in-ageing
#18
Sobanawartiny Wijeakumar, Vincent A Magnotta, John P Spencer
Previous neuroimaging studies have reported a posterior to anterior shift of activation in ageing (PASA). Here, we explore the nature of this shift by modulating load (1,2 or 3 items) and perceptual complexity in two variants of a visual working memory task (VWM): a 'simple' color and a 'complex' shape change detection task. Functional near-infrared spectroscopy (fNIRS) was used to record changes in activation in younger (N=24) and older adults (N=24). Older adults exhibited PASA by showing lesser activation in the posterior cortex and greater activation in the anterior cortex when compared to younger adults...
June 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28624646/instantaneous-voltage-as-an-alternative-to-power-and-phase-based-interpretation-of-oscillatory-brain-activity
#19
Gerwin Schalk, Joshua Marple, Robert T Knight, William G Coon
For decades, oscillatory brain activity has been characterized primarily by measurements of power and phase. While many studies have linked those measurements to cortical excitability, their relationship to each other and to the physiological underpinnings of excitability is unclear. The recently proposed Function-through-Biased-Oscillations (FBO) hypothesis Schalk, addressed these issues by suggesting that the voltage potential at the cortical surface directly reflects the excitability of cortical populations, that this voltage is rhythmically driven away from a low resting potential (associated with depolarized cortical populations) towards positivity (associated with hyperpolarized cortical populations)...
June 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28619653/on-optimal-spatial-filtering-for-the-detection-of-phase-coupling-in-multivariate-neural-recordings
#20
G Waterstraat, G Curio, V V Nikulin
INTRODUCTION: Neuronal oscillations synchronize processing in the brain over large spatiotemporal scales and thereby facilitate integration of individual functional modules. Up to now, the relation between the phases of neuronal oscillations and behavior or perception has mainly been analyzed in sensor space of multivariate EEG/MEG recordings. However, sensor-space analysis distorts the topographies of the underlying neuronal sources and suffers from low signal-to-noise ratio. Instead, we propose an optimized source reconstruction approach (Phase Coupling Optimization, PCO)...
June 13, 2017: NeuroImage
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