keyword
MENU ▼
Read by QxMD icon Read
search

model based fmri

keyword
https://www.readbyqxmd.com/read/27903727/predicting-when-in-discourse-engages-the-human-dorsal-auditory-stream-an-fmri-study-using-naturalistic-stories
#1
Katerina Danae Kandylaki, Arne Nagels, Sarah Tune, Tilo Kircher, Richard Wiese, Matthias Schlesewsky, Ina Bornkessel-Schlesewsky
: The hierarchical organization of human cortical circuits integrates information across different timescales via temporal receptive windows, which increase in length from lower to higher levels of the cortical hierarchy (Hasson et al., 2015). A recent neurobiological model of higher-order language processing (Bornkessel-Schlesewsky et al., 2015) posits that temporal receptive windows in the dorsal auditory stream provide the basis for a hierarchically organized predictive coding architecture (Friston and Kiebel, 2009)...
November 30, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27900950/automated-selection-of-brain-regions-for-real-time-fmri-brain-computer-interfaces
#2
Michael Lührs, Bettina Sorger, Rainer Goebel, Fabrizio Esposito
OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site expert supervision are required for ROI definition. To automate this step, we developed two unsupervised computational techniques based on the general linear model (GLM) and independent component analysis (ICA) of rt-fMRI data, and compared their performances on a communication BCI...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27899889/anodal-tdcs-to-right-dorsolateral-prefrontal-cortex-facilitates-performance-for-novice-jazz-improvisers-but-hinders-experts
#3
David S Rosen, Brian Erickson, Youngmoo E Kim, Daniel Mirman, Roy H Hamilton, John Kounios
Research on creative cognition reveals a fundamental disagreement about the nature of creative thought, specifically, whether it is primarily based on automatic, associative (Type-1) or executive, controlled (Type-2) processes. We hypothesized that Type-1 and Type-2 processes make differential contributions to creative production that depend on domain expertise. We tested this hypothesis with jazz pianists whose expertise was indexed by the number of public performances given. Previous fMRI studies of musical improvisation have reported that domain expertise is characterized by deactivation of the right-dorsolateral prefrontal cortex (r-DLPFC), a brain area associated with Type-2 executive processing...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27899332/artificial-neural-network-for-suppression-of-banding-artifacts-in-balanced-steady-state-free-precession-mri
#4
Ki Hwan Kim, Sung-Hong Park
The balanced steady-state free precession (bSSFP) MR sequence is frequently used in clinics, but is sensitive to off-resonance effects, which can cause banding artifacts. Often multiple bSSFP datasets are acquired at different phase cycling (PC) angles and then combined in a special way for banding artifact suppression. Many strategies of combining the datasets have been suggested for banding artifact suppression, but there are still limitations in their performance, especially when the number of phase-cycled bSSFP datasets is small...
November 26, 2016: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/27898341/tracking-competition-and-cognitive-control-during-language-comprehension-with-multi-voxel-pattern-analysis
#5
Elizabeth Musz, Sharon L Thompson-Schill
To successfully comprehend a sentence that contains a homonym, readers must select the ambiguous word's context-appropriate meaning. The outcome of this process is influenced both by top-down contextual support and bottom-up, word-specific characteristics. We examined how these factors jointly affect the neural signatures of lexical ambiguity resolution. We measured the similarity between multi-voxel patterns evoked by the same homonym in two distinct linguistic contexts: once after subjects read sentences that biased interpretation toward each homonym's most frequent, dominant meaning, and again after interpretation was biased toward a weaker, subordinate meaning...
November 26, 2016: Brain and Language
https://www.readbyqxmd.com/read/27896962/adaptive-testing-of-snp-brain-functional-connectivity-association-via-a-modular-network-analysis
#6
Chen Gao, Junghi Kim, Wei Pan
Due to its high dimensionality and high noise levels, analysis of a large brain functional network may not be powerful and easy to interpret; instead, decomposition of a large network into smaller subcomponents called modules may be more promising as suggested by some empirical evidence. For example, alteration of brain modularity is observed in patients suffering from various types of brain malfunctions. Although several methods exist for estimating brain functional networks, such as the sample correlation matrix or graphical lasso for a sparse precision matrix, it is still difficult to extract modules from such network estimates...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27895575/can-animal-models-contribute-to-understanding-tinnitus-heterogeneity-in-humans
#7
REVIEW
Jos J Eggermont
The brain activity of humans with tinnitus of various etiologies is typically studied with electro- and magneto-encephalography and functional magnetic resonance imaging-based imaging techniques. Consequently, they measure population responses and mostly from the neocortex. The latter also underlies changes in neural networks that may be attributed to tinnitus. However, factors not strictly related to tinnitus such as hearing loss and hyperacusis, as well as other co-occurring disorders play a prominent role in these changes...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27893387/a-cca-and-ica-based-mixture-model-for-identifying-major-depression-disorder
#8
Wuhong Lin, Huawang Wu, Yishu Liu, Dongsheng Lv, Lihua Yang
The fMRI signals are usually filtered before processing and analyzing. This process can result in the loss of information carried by the higher frequency in the low frequency fluctuation. ICA and CCA are two classical methods in fMRI. ICA finds the statistically independent components of the observed data, however these components are usually physiologically uninterpretable without auxiliary procedures. CCA decomposes two sets of data into component pairs in some order, however these components may be mixtures of real signals and noise...
November 21, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27887679/-mindfulness-based-interventions-in-obsessive-compulsive-disorder-mechanisms-of-action-and-presentation-of-a-pilot-study
#9
M Gasnier, A Pelissolo, G Bondolfi, S Pelissolo, M Tomba, L Mallet, K N'diaye
Obsessive-compulsive disorder (OCD) is a frequent and severe disease, potentially inducing a major impairment for the patient and burden for their family. Recent research in psychiatry and neuroscience have led to better comprehension of the disease's mechanisms and helped to improve its treatment. However, a large proportion of patients have refractory symptoms, including for traditional cognitive and behavioral therapy by exposure and response prevention (ERP), leading clinicians to look for new treatments...
November 22, 2016: L'Encéphale
https://www.readbyqxmd.com/read/27881959/effective-connectivity-within-the-mesocorticolimbic-system-during-resting-state-in-cocaine-users
#10
Suchismita Ray, Xin Di, Bharat B Biswal
Objective: Although effective connectivity between brain regions has been examined in cocaine users during tasks, no effective connectivity study has been conducted on cocaine users during resting-state. In the present functional magnetic resonance imaging study, we examined effective connectivity in resting-brain, between the brain regions within the mesocorticolimbic dopamine system, implicated in reward and motivated behavior, while the chronic cocaine users and controls took part in a resting-state scan by using a spectral Dynamic causal modeling (spDCM) approach...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27877115/insights-into-brain-architectures-from-the-homological-scaffolds-of-functional-connectivity-networks
#11
Louis-David Lord, Paul Expert, Henrique M Fernandes, Giovanni Petri, Tim J Van Hartevelt, Francesco Vaccarino, Gustavo Deco, Federico Turkheimer, Morten L Kringelbach
In recent years, the application of network analysis to neuroimaging data has provided useful insights about the brain's functional and structural organization in both health and disease. This has proven a significant paradigm shift from the study of individual brain regions in isolation. Graph-based models of the brain consist of vertices, which represent distinct brain areas, and edges which encode the presence (or absence) of a structural or functional relationship between each pair of vertices. By definition, any graph metric will be defined upon this dyadic representation of the brain activity...
2016: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/27874089/robust-encoding-of-scene-anticipation-during-human-spatial-navigation
#12
Yumi Shikauchi, Shin Ishii
In a familiar city, people can recall scene views (e.g., a particular street corner scene) they could encounter again in the future. Complex objects with multiple features are represented by multiple neural units (channels) in the brain, but when anticipating a scene view, the kind of feature that is assigned to a specific channel is unknown. Here, we studied neural encoding of scene view anticipation during spatial navigation, using a novel data-driven analysis to evaluate encoding channels. Our encoding models, based on functional magnetic resonance imaging (fMRI) activity, provided channel error correction via redundant channel assignments that reflected the navigation environment...
November 22, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27872691/locally-estimated-hemodynamic-response-function-and-activation-detection-sensitivity-in-heroin-cue-reactivity-study
#13
Somayeh Maleki-Balajoo, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh, Hamed Ekhtiari
INTRODUCTION: A fixed hemodynamic response function (HRF) is commonly used for functional magnetic resonance imaging (fMRI) analysis. However, HRF may vary from region to region and subject to subject. We investigated the effect of locally estimated HRF (in functionally homogenous parcels) on activation detection sensitivity in a heroin cue reactivity study. METHODS: We proposed a novel exploratory method for brain parcellation based on a probabilistic model to segregate the brain into spatially connected and functionally homogeneous components...
October 2016: Basic and Clinical Neuroscience
https://www.readbyqxmd.com/read/27867834/neurobiology-of-risk-for-bipolar-disorder
#14
REVIEW
Ayşegül Özerdem, Deniz Ceylan, Güneş Can
Bipolar disorder (BD) is a chronic mental illness which follows a relapsing and remitting course and requires lifetime treatment. The lack of biological markers for BD is a major difficulty in clinical practice. Exploring multiple endophenotypes to fit in multivariate genetic models for BD is an important element in the process of finding tools to facilitate early diagnosis, early intervention, prevention of new episodes, and follow-up of treatment response in BD. Reviewing of studies on neuroimaging, neurocognition, and biochemical parameters in populations with high genetic risk for the illness can yield an integrative perspective on the neurobiology of risk for BD...
2016: Current Treatment Options in Psychiatry
https://www.readbyqxmd.com/read/27867012/a-robust-sparse-modeling-framework-for-estimating-schizophrenia-biomarkers-from-fmri
#15
Keith Dillon, Vince Calhoun, Yu-Ping Wang
BACKGROUND: Our goal is to identify the brain regions most relevant to mental illness using neuroimaging. State of the art machine learning methods commonly suffer from repeatability difficulties in this application, particularly when using large and heterogeneous populations for samples. NEW METHOD: We revisit both dimensionality reduction and sparse modeling, and recast them in a common optimization-based framework. This allows us to combine the benefits of both types of methods in an approach which we call unambiguous components...
November 17, 2016: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/27859975/population-level-correction-of-systematic-motion-artifacts-in-fmri-in-patients-with-ischemic-stroke
#16
Csaba Aranyi, Gábor Opposits, Marianna Nagy, Ervin Berényi, Csilla Vér, László Csiba, Péter Katona, Tamás Spisák, Miklós Emri
BACKGROUND: The aim of this study was to reveal potential sources of systematic motion artifacts in stroke functional magnetic resonance imaging (fMRI) focusing on those causing stimulus-correlated motion on the individual-level and separate the motion effect on the fMRI signal changing from the activation-induced alteration at population level. METHODS: Eleven ischemic stroke patients were examined by fMRI. The fMRI paradigm was based on passive ankle movement on both the healthy and the paretic leg's side...
November 17, 2016: Journal of Neuroimaging: Official Journal of the American Society of Neuroimaging
https://www.readbyqxmd.com/read/27859905/multiple-region-directed-functional-connectivity-based-on-phase-delays
#17
Gadi Goelman, Rotem Dan
Network analysis is increasingly advancing the field of neuroimaging. Neural networks are generally constructed from pairwise interactions with an assumption of linear relations between them. Here, a high-order statistical framework to calculate directed functional connectivity among multiple regions, using wavelet analysis and spectral coherence has been presented. The mathematical expression for 4 regions was derived and used to characterize a quartet of regions as a linear, combined (nonlinear), or disconnected network...
November 16, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27853427/prediction-of-biological-motion-perception-performance-from-intrinsic-brain-network-regional-efficiency
#18
Zengjian Wang, Delong Zhang, Bishan Liang, Song Chang, Jinghua Pan, Ruiwang Huang, Ming Liu
Biological motion perception (BMP) refers to the ability to perceive the moving form of a human figure from a limited amount of stimuli, such as from a few point lights located on the joints of a moving body. BMP is commonplace and important, but there is great inter-individual variability in this ability. This study used multiple regression model analysis to explore the association between BMP performance and intrinsic brain activity, in order to investigate the neural substrates underlying inter-individual variability of BMP performance...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27852776/somatic-and-reinforcement-based-plasticity-in-the-initial-stages-of-human-motor-learning
#19
Ananda Sidarta, Shahabeddin Vahdat, Nicolò F Bernardi, David J Ostry
: As one learns to dance or play tennis, the desired somatosensory state is typically unknown. Trial and error is important as motor behavior is shaped by successful and unsuccessful movements. As an experimental model, we designed a task in which human participants make reaching movements to a hidden target and receive positive reinforcement when successful. We identified somatic and reinforcement-based sources of plasticity on the basis of changes in functional connectivity using resting-state fMRI before and after learning...
November 16, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27845691/non-invasive-evaluation-of-placental-blood-flow-lessons-from-animal-models
#20
Eve Mourier, Anne Tarrade, Jie Duan, Christophe Richard, Charline Bertholdt, Marine Beaumont, Olivier Morel, Pascale Chavatte-Palmer
In human obstetrics, placental vascularisation impairment is frequent as well as linked to severe pathological events (preeclampsia and intra-uterine growth restriction) and there is a need for reliable methods allowing non-invasive evaluation of placental blood flow. Uteroplacental vascularisation is complex and animal models are essential for the technical development and safety assessment of these imaging tools for human clinical use but these techniques can also be applied in the veterinary context. This paper reviews how ultrasound based imaging methods such as 2D and 3D Doppler can provide valuable insight for the exploration of placental blood flow both in humans and animals and how new approaches such as the use of ultrasound contrast agents or ultrafast Doppler may allow to discriminate between maternal (non-pulsatile) and fetal (pulsatile) blood flow in the placenta...
November 14, 2016: Reproduction: the Official Journal of the Society for the Study of Fertility
keyword
keyword
118849
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"