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https://www.readbyqxmd.com/read/28325028/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#1
Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325027/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#2
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/28325001/reliability-of-a-cortical-surface-based-analysis-with-subcortical-regression-in-the-identification-of-resting-state-functional-networks
#3
R Lopes, P Besson, R Viard, C Bournonville, C Delmaire, X Leclerc
Many methods exist for identifying brain networks in resting-state functional magnetic resonance imaging. During the last decade, there was a growing interest in functional connectivity using surface-based analysis. However, the advantages of this approach against volume-based analysis in a data-driven model are unclear. In this study, we propose an independent component analysis based method to extract the resting-state networks directly on the cortical surface. The components associated with the subcortical regions are identified by multiple linear regressions between the signals in subcortical voxels and independent components time courses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324972/analysis-of-spontaneous-eeg-activity-in-alzheimer-s-disease-using-cross-sample-entropy-and-graph-theory
#4
Carlos Gomez, Jesus Poza, Javier Gomez-Pilar, Alejandro Bachiller, Celia Juan-Cruz, Miguel A Tola-Arribas, Alicia Carreres, Monica Cano, Roberto Hornero
The aim of this pilot study was to analyze spontaneous electroencephalography (EEG) activity in Alzheimer's disease (AD) by means of Cross-Sample Entropy (Cross-SampEn) and two local measures derived from graph theory: clustering coefficient (CC) and characteristic path length (PL). Five minutes of EEG activity were recorded from 37 patients with dementia due to AD and 29 elderly controls. Our results showed that Cross-SampEn values were lower in the AD group than in the control one for all the interactions among EEG channels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324955/identifying-important-regions-in-eeg-epilepsy-brain-networks
#5
Nantia D Iakovidou, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Georgios D Mitsis
The human brain has been called the most complex object in the known universe and in many ways it constitutes the final frontier of science. Lately, the functional connectivity in human brain has been regarded and studied as a complex network using electroencephalography (EEG) signals. This means that the brain is studied as a connected system, where nodes represent different specialized brain regions and links or connections, represent communication pathways between the nodes. It is also fairly established that graph theory provides a variety of measures, methods and tools that can be useful to efficiently model, analyze and study an EEG network...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324952/the-influence-of-the-pre-stimulation-neural-state-on-the-post-stimulation-neural-dynamics-via-distributed-microstimulation-of-the-hippocampus
#6
Mark J Connolly, Robert E Gross, Babak Mahmoudi
In this study we investigated how the neural state influences how the brain responds to electrical stimulation using a 16-channel microelectrode array with 8 stimulation and recording channels implanted in the rat hippocampus. In two experiments we identified the stimulation threshold at which the brain changes to an afterdischarge state. In one experiment a range of suprathreshold stimulations were applied, and in another the stimulation was not changed. The neural state was measured by the power spectral density prior to stimulation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324951/mentor-s-brain-functional-connectivity-network-during-robotic-assisted-surgery-mentorship
#7
Somayeh B Shafiei, Scott T Doyle, Khurshid A Guru
In many complicated cognitive-motor tasks mentoring is inevitable during the learning process. Although mentors are expert in doing the task, trainee's operation might be new for a mentor. This makes mentoring a very difficult task which demands not only the knowledge and experience of a mentor, but also his/her ability to follow trainee's movements and patiently advise him/her during the operation. We hypothesize that information binding throughout the mentor's brain areas, contributed to the task, changes as the expertise level of the trainee improves from novice to intermediate and expert...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324930/rtms-enhanced-gamma-oscillation-through-strengthened-network-connection
#8
Mengmeng Dou, Xin Tian
Gamma oscillations emerge generally in working memory to aspect of higher cognitive functions, and typically with the interaction of brain network. How is gamma oscillatory activity influenced by the functional connection in the brain'a network? How can gamma oscillations be increased by neural modulation to result in potential benefits for working memory? The present study aims to investigate the intensity of gamma oscillations modulated by low frequency repetitive transcranial magnetic stimulation (rTMS), and the possible brain network mechanism of increased gamma oscillations during working memory task in rats...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324694/screening-of-autism-based-on-task-free-fmri-using-graph-theoretical-approach
#9
Masoumeh Sadeghi, Reza Khosrowabadi, Fatemeh Bakouie, Hoda Mahdavi, Changiz Eslahchi, Hamidreza Pouretemad
Studies on autism spectrum disorder (ASD) have indicated several dysfunctions in the structure, and functional organization of the brain. However, findings have not been established as a general diagnostic tool yet. In this regard, current study proposed an automatic screening method for recognition of ASDs from healthy controls (HCs) based on their brain functional abnormalities. In this paradigm, brain functional networks of 60 adolescent and young adult males (29 ASDs and 31 HCs) were estimated from subjects' task-free fMRI data...
March 9, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28324301/neuroimaging-in-epilepsy
#10
REVIEW
Erik H Middlebrooks, Lawrence Ver Hoef, Jerzy P Szaflarski
In recent years, the field of neuroimaging has undergone dramatic development. Specifically, of importance for clinicians and researchers managing patients with epilepsies, new methods of brain imaging in search of the seizure-producing abnormalities have been implemented, and older methods have undergone additional refinement. Methodology to predict seizure freedom and cognitive outcome has also rapidly progressed. In general, the image data processing methods are very different and more complicated than even a decade ago...
April 2017: Current Neurology and Neuroscience Reports
https://www.readbyqxmd.com/read/28323817/hippocampal-and-prefrontal-processing-of-network-topology-to-simulate-the-future
#11
Amir-Homayoun Javadi, Beatrix Emo, Lorelei R Howard, Fiona E Zisch, Yichao Yu, Rebecca Knight, Joao Pinelo Silva, Hugo J Spiers
Topological networks lie at the heart of our cities and social milieu. However, it remains unclear how and when the brain processes topological structures to guide future behaviour during everyday life. Using fMRI in humans and a simulation of London (UK), here we show that, specifically when new streets are entered during navigation of the city, right posterior hippocampal activity indexes the change in the number of local topological connections available for future travel and right anterior hippocampal activity reflects global properties of the street entered...
March 21, 2017: Nature Communications
https://www.readbyqxmd.com/read/28323668/mindfulness-meditation-training-and-executive-control-network-resting-state-functional-connectivity-a-randomized-controlled-trial
#12
Adrienne A Taren, Peter J Gianaros, Carol M Greco, Emily K Lindsay, April Fairgrieve, Kirk Warren Brown, Rhonda K Rosen, Jennifer L Ferris, Erica Julson, Anna L Marsland, J David Creswell
OBJECTIVE: Mindfulness meditation training has been previously shown to enhance behavioral measures of executive control (e.g. attention, working memory, cognitive control), but the neural mechanisms underlying these improvements are largely unknown. Here, we test whether mindfulness training interventions foster executive control by strengthening functional connections between dorsolateral prefrontal cortex (dlPFC) - a hub of the executive control network - and frontoparietal regions that coordinate executive function...
March 20, 2017: Psychosomatic Medicine
https://www.readbyqxmd.com/read/28323646/endothelial-cells-and-lymphatics-at-the-interface-between-the-immune-and-central-nervous-systems-implications-for-multiple-sclerosis
#13
Céline Meyer, Guillaume Martin-Blondel, Roland S Liblau
PURPOSE OF REVIEW: The central nervous system (CNS) has a unique relationship with the immune system. This review highlights the distinct roles of lymphatic vessels and endothelial cells in the interface between CNS and immune cells and invites to revisit the concept of CNS immune privilege. RECENT FINDINGS: T cells can follow several routes to penetrate the CNS parenchyma but may also benefit, together with antigen-loaded presenting cells, from the newly described lymphatic network to exit the CNS...
March 18, 2017: Current Opinion in Neurology
https://www.readbyqxmd.com/read/28319835/convergent-and-divergent-effects-of-apolipoprotein-e-%C3%AE%C2%B54-and-%C3%AE%C2%B52-alleles-on-amygdala-functional-networks-in-nondemented-older-adults
#14
Liang Gong, Hao Shu, Cancan He, Qing Ye, Feng Bai, Chunming Xie, Zhijun Zhang
Traditionally, in the context of Alzheimer's disease, the apolipoprotein E ε2 (APOEε2) allele is a protective factor and the APOEε4 allele is a destructive factor. However, this inverse relationship has recently been challenged, and the neural mechanisms underlying the effects of APOE genotype on Alzheimer's disease remain unclear. A resting-state functional magnetic resonance imaging study was conducted to investigate the effects of APOE genotype and age on amygdala functional connectivity (AFC) networks in 84 patients with amnestic mild cognitive impairment and 124 cognitively normal order adults...
February 24, 2017: Neurobiology of Aging
https://www.readbyqxmd.com/read/28319192/correction-modular-brain-network-organization-predicts-response-to-cognitive-training-in-older-adults
#15
(no author information available yet)
[This corrects the article DOI: 10.1371/journal.pone.0169015.].
2017: PloS One
https://www.readbyqxmd.com/read/28319187/the-impact-of-high-grade-glial-neoplasms-on-human-cortical-electrophysiology
#16
S Kathleen Bandt, Jarod L Roland, Mrinal Pahwa, Carl D Hacker, David T Bundy, Jonathan D Breshears, Mohit Sharma, Joshua S Shimony, Eric C Leuthardt
OBJECTIVE: The brain's functional architecture of interconnected network-related oscillatory patterns in discrete cortical regions has been well established with functional magnetic resonance imaging (fMRI) studies or direct cortical electrophysiology from electrodes placed on the surface of the brain, or electrocorticography (ECoG). These resting state networks exhibit a robust functional architecture that persists through all stages of sleep and under anesthesia. While the stability of these networks provides a fundamental understanding of the organization of the brain, understanding how these regions can be perturbed is also critical in defining the brain's ability to adapt while learning and recovering from injury...
2017: PloS One
https://www.readbyqxmd.com/read/28318985/functional-disconnection-of-thalamic-and-cerebellar-dentate-nucleus-networks-in-progressive-supranuclear-palsy-and-corticobasal-syndrome
#17
Neeraj Upadhyay, Antonio Suppa, Maria Cristina Piattella, Costanza Giannì, Matteo Bologna, Flavio Di Stasio, Nikolaos Petsas, Francesca Tona, Giovanni Fabbrini, Alfredo Berardelli, Patrizia Pantano
AIM: To assess functional rearrangement following neurodegeneration in the thalamus and dentate nucleus in patients with progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). METHODS: We recruited 19 patients with PSP, 11 with CBS and 14 healthy subjects. All the subjects underwent resting-state (rs) fMRI using a 3T system. Whole brain functional connectivity of the thalamus and dentate nucleus were calculated by means of a seed-based approach with FEAT script in FSL toolbox...
March 15, 2017: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/28318972/persistent-single-neuron-activity-during-working-memory-in-the-human-medial-temporal-lobe
#18
Simon Kornblith, Rodrigo Quian Quiroga, Christof Koch, Itzhak Fried, Florian Mormann
Working memory is an essential component of human cognition. Persistent activity related to working memory has been reported in many brain areas, including the inferior temporal and prefrontal cortex [1-8]. The medial temporal lobe (MTL) contains "concept cells" that respond invariantly to specific individuals or places whether presented as images, text, or speech [9, 10]. It is unknown, however, whether the MTL also participates in working memory processes. We thus sought to determine whether human MTL neurons respond to images held in working memory...
March 15, 2017: Current Biology: CB
https://www.readbyqxmd.com/read/28318404/magnetization-transfer-imaging-of-treatment-resistant-depression
#19
Zhiyun Jia, Wei Peng, Ziqi Chen, Huaiqiang Sun, Huawei Zhang, Weihong Kuang, Xiaoqi Huang, Su Lui, Qiyong Gong
Purpose To detect biophysical abnormalities in patients with postmedication treatment-resistant depression (TRD) with magnetization transfer imaging. Materials and Methods This study was approved by the local ethics committee, and written informed consent was obtained from all participants. Participants included 69 patients with major depressive disorder (MDD) (30 with TRD; 39 with non-TRD) and 41 healthy control subjects. Age and sex were examined with one-way analysis of variance and χ(2) tests and were well matched among the three groups...
March 17, 2017: Radiology
https://www.readbyqxmd.com/read/28317947/parietal-operculum-and-motor-cortex-activities-predict-motor-recovery-in-moderate-to-severe-stroke
#20
Firdaus Fabrice Hannanu, Thomas A Zeffiro, Laurent Lamalle, Olivier Heck, Félix Renard, Antoine Thuriot, Alexandre Krainik, Marc Hommel, Olivier Detante, Assia Jaillard
While motor recovery following mild stroke has been extensively studied with neuroimaging, mechanisms of recovery after moderate to severe strokes of the types that are often the focus for novel restorative therapies remain obscure. We used fMRI to: 1) characterize reorganization occurring after moderate to severe subacute stroke, 2) identify brain regions associated with motor recovery and 3) to test whether brain activity associated with passive movement measured in the subacute period could predict motor outcome six months later...
2017: NeuroImage: Clinical
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