keyword
MENU ▼
Read by QxMD icon Read
search

model based fmri

keyword
https://www.readbyqxmd.com/read/29034263/modeling-causal-relationships-among-brain-areas-in-the-mesocorticolimbic-system-during-resting-state-in-cocaine-users-utilizing-a-graph-theoretic-approach
#1
Suchismita Ray, Bharat B Biswal, Ashley Aya, Suril Gohel, Aradhana Srinagesh, Catherine Hanson, Stephen J Hanson
OBJECTIVE: While effective connectivity (EC, causal interaction) between brain areas has been investigated in chronic users of cocaine as they view cocaine pictures cues, no study has examined EC while they take part in a resting-state scan. This resting-state fMRI study aims to investigate the causal interaction among brain areas in the mesocorticolimbic system (MCLS), which is involved in reward and motivation, in cocaine users (vs. controls). METHOD: Twenty cocaine users and 17 healthy controls finished a structural and a resting-state scan...
August 2017: Journal of Alcoholism and Drug Dependence
https://www.readbyqxmd.com/read/29033805/musical-expertise-increases-top-down-modulation-over-hippocampal-activation-during-familiarity-decisions
#2
Pierre Gagnepain, Baptiste Fauvel, Béatrice Desgranges, Malo Gaubert, Fausto Viader, Francis Eustache, Mathilde Groussard, Hervé Platel
The hippocampus has classically been associated with episodic memory, but is sometimes also recruited during semantic memory tasks, especially for the skilled exploration of familiar information. Cognitive control mechanisms guiding semantic memory search may benefit from the set of cognitive processes at stake during musical training. Here, we examined using functional magnetic resonance imaging, whether musical expertise would promote the top-down control of the left inferior frontal gyrus (LIFG) over the generation of hippocampally based goal-directed thoughts mediating the familiarity judgment of proverbs and musical items...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29030974/dopamine-transporter-gene-methylation-is-associated-with-nucleus-accumbens-activation-during-reward-processing-in-healthy-but-not-alcohol-dependent-individuals
#3
Christine Muench, Corinde E Wiers, Carlos R Cortes, Reza Momenan, Falk W Lohoff
BACKGROUND: Alcohol's reinforcement is mediated by dopamine signaling in the ventral striatum, which is modulated by the dopamine transporter (DAT). We hypothesized that methylomic variation in the DAT gene (SLC6A3) affects DAT expression thus contributing to differences in brain reward circuitry in individuals with alcohol dependence (ALC). METHODS: Blood from 45 recently detoxified ALC and 45 healthy control (HC) individuals was used to assess DNA methylation across 5 functional regions of SLC6A3...
October 14, 2017: Alcoholism, Clinical and Experimental Research
https://www.readbyqxmd.com/read/29025688/altered-medial-frontal-feedback-learning-signals-in-anorexia-nervosa
#4
Fabio Bernardoni, Daniel Geisler, Joseph A King, Amir-Homayoun Javadi, Franziska Ritschel, Julia Murr, Andrea M F Reiter, Veit Rössner, Michael N Smolka, Stefan Kiebel, Stefan Ehrlich
BACKGROUND: In their relentless pursuit of thinness, individuals with anorexia nervosa (AN) engage in maladaptive behaviors (restrictive food choices and overexercising) that may originate in altered decision making and learning. METHODS: In this functional magnetic resonance imaging study, we employed computational modeling to elucidate the neural correlates of feedback learning and value-based decision making in 36 female patients with AN and 36 age-matched healthy volunteers (12-24 years)...
August 30, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/29024792/effective-connectivity-inferred-from-fmri-transition-dynamics-during-movie-viewing-points-to-a-balanced-reconfiguration-of-cortical-interactions
#5
REVIEW
Matthieu Gilson, Gustavo Deco, Karl Friston, Patric Hagmann, Dante Mantini, Viviana Betti, Gian Luca Romani, Maurizio Corbetta
Our behavior entails a flexible and context-sensitive interplay between brain areas to integrate information according to goal-directed requirements. However, the neural mechanisms governing the entrainment of functionally specialized brain areas remain poorly understood. In particular, the question arises whether observed changes in the regional activity for different cognitive conditions are explained by modifications of the inputs to the brain or its connectivity? We observe that transitions of fMRI activity between areas convey information about the tasks performed by 19 subjects, watching a movie versus a black screen (rest)...
October 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/29016686/learning-about-learning-mining-human-brain-sub-network-biomarkers-from-fmri-data
#6
Petko Bogdanov, Nazli Dereli, Xuan-Hong Dang, Danielle S Bassett, Nicholas F Wymbs, Scott T Grafton, Ambuj K Singh
Modeling the brain as a functional network can reveal the relationship between distributed neurophysiological processes and functional interactions between brain structures. Existing literature on functional brain networks focuses mainly on a battery of network properties in "resting state" employing, for example, modularity, clustering, or path length among regions. In contrast, we seek to uncover functionally connected subnetworks that predict or correlate with cohort differences and are conserved within the subjects within a cohort...
2017: PloS One
https://www.readbyqxmd.com/read/28992533/neural-correlates-of-affective-and-non-affective-cognition-in-obsessive-compulsive-disorder-a-meta-analysis-of-functional-imaging-studies
#7
A Rasgon, W H Lee, E Leibu, A Laird, D Glahn, W Goodman, S Frangou
Obsessive compulsive disorder (OCD) is characterized by intrusive thoughts and repetitive ritualistic behaviors and has been associated with diverse functional brain abnormalities. We sought to synthesize current evidence from functional magnetic resonance imaging (fMRI) studies and examine their alignment to pathogenetic models of OCD. Following systematic review, we identified 54 task-fMRI studies published in the last decade comparing adults with OCD (n=1186) to healthy adults (n=1159) using tasks of affective and non-affective cognition...
September 1, 2017: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/28984524/population-dynamics-of-early-visual-cortex-during-working-memory
#8
Masih Rahmati, Golbarg T Saber, Clayton E Curtis
Although the content of working memory (WM) can be decoded from the spatial patterns of brain activity in early visual cortex, how populations encode WM representations remain unclear. Here, we address this limitation by using a model-based approach that reconstructs the feature encoded by population activity measured with fMRI. Using this approach, we could successfully reconstruct the locations of memory-guided saccade goals based on the pattern of activity in visual cortex during a memory delay. We could reconstruct the saccade goal even when we dissociated the visual stimulus from the saccade goal using a memory-guided antisaccade procedure...
October 6, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28981876/human-substantia-nigra-and-ventral-tegmental-area-involvement-in-computing-social-error-signals-during-the-ultimatum-game
#9
S Hétu, Y Luo, K D'Ardenne, T Lohrenz, P R Montague
Social norms play an essential role in our societies, and since the social environment is changing constantly, our internal models of it also need to change. In humans, there is mounting evidence that neural structures such as the insula and the ventral striatum are involved in detecting norm violation and updating internal models. However, because of methodological challenges, little is known about the possible involvement of midbrain structures in detecting norm violation and updating internal models of our norms...
August 17, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/28971013/presurgical-thalamocortical-connectivity-is-associated-with-response-to-vagus-nerve-stimulation-in-children-with-intractable-epilepsy
#10
George M Ibrahim, Priya Sharma, Ann Hyslop, Magno R Guillen, Benjamin R Morgan, Simeon Wong, Taylor J Abel, Lior Elkaim, Iahn Cajigas, Ashish H Shah, Aria Fallah, Alexander G Weil, Nolan Altman, Byron Bernal, Santiago Medina, Elysa Widjaja, Prasanna Jayakar, John Ragheb, Sanjiv Bhatia
Although chronic vagus nerve stimulation (VNS) is an established treatment for medically-intractable childhood epilepsy, there is considerable heterogeneity in seizure response and little data are available to pre-operatively identify patients who may benefit from treatment. Since the therapeutic effect of VNS may be mediated by afferent projections to the thalamus, we tested the hypothesis that intrinsic thalamocortical connectivity is associated with seizure response following chronic VNS in children with epilepsy...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28971011/structurofunctional-resting-state-networks-correlate-with-motor-function-in-chronic-stroke
#11
Benjamin T Kalinosky, Reivian Berrios Barillas, Brian D Schmit
PURPOSE: Motor function and recovery after stroke likely rely directly on the residual anatomical connections in the brain and its resting-state functional connectivity. Both structural and functional properties of cortical networks after stroke are revealed using multimodal magnetic resonance imaging (MRI). Specifically, functional connectivity MRI (fcMRI) can extract functional networks of the brain at rest, while structural connectivity can be estimated from white matter fiber orientations measured with high angular-resolution diffusion imaging (HARDI)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28968854/theories-of-person-perception-predict-patterns-of-neural-activity-during-mentalizing
#12
Mark A Thornton, Jason P Mitchell
Social life requires making inferences about other people. What information do perceivers spontaneously draw upon to make such inferences? Here, we test 4 major theories of person perception, and 1 synthetic theory that combines their features, to determine whether the dimensions of such theories can serve as bases for describing patterns of neural activity during mentalizing. While undergoing functional magnetic resonance imaging, participants made social judgments about well-known public figures. Patterns of brain activity were then predicted using feature encoding models that represented target people's positions on theoretical dimensions such as warmth and competence...
August 22, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28961451/segmenting-hippocampal-subfields-from-3t-mri-with-multi-modality-images
#13
Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen
Hippocampal subfields play important roles in many brain activities. However, due to the small structural size, low signal contrast, and insufficient image resolution of 3T MR, automatic hippocampal subfields segmentation is less explored. In this paper, we propose an automatic learning-based hippocampal subfields segmentation method using 3T multi-modality MR images, including structural MRI (T1, T2) and resting state fMRI (rs-fMRI). The appearance features and relationship features are both extracted to capture the appearance patterns in structural MR images and also the connectivity patterns in rs-fMRI, respectively...
September 21, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28959198/distributed-neural-processing-predictors-of-multi-dimensional-properties-of-affect
#14
Keith A Bush, Cory S Inman, Stephan Hamann, Clinton D Kilts, G Andrew James
Recent evidence suggests that emotions have a distributed neural representation, which has significant implications for our understanding of the mechanisms underlying emotion regulation and dysregulation as well as the potential targets available for neuromodulation-based emotion therapeutics. This work adds to this evidence by testing the distribution of neural representations underlying the affective dimensions of valence and arousal using representational models that vary in both the degree and the nature of their distribution...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28952931/euler-elastica-regularized-logistic-regression-for-whole-brain-decoding-of-fmri-data
#15
Chuncheng Zhang, Li Yao, Sutao Song, Xiaotong Wen, Xiaojie Zhao, Zhiying Long
OBJECTIVE: Multivariate pattern analysis (MVPA) methods have been widely applied to functional magnetic resonance imaging (fMRI) data to decode brain states. Due to the "high features, low samples" in fMRI data, machine learning methods have been widely regularized using various regularizations to avoid overfitting. Both total variation (TV) using the gradients of images and Euler's elastica (EE) using the gradient and the curvature of images are the two popular regulations with spatial structures...
September 25, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28945924/pear-periodic-and-fixed-rank-separation-for-fast-fmri
#16
Lior Weizman, Karla L Miller, Yonina C Eldar, Mark Chiew
PURPOSE: In functional MRI (fMRI), faster acquisition via undersampling of data can improve the spatial-temporal resolution trade-off and increase statistical robustness through increased degrees-of-freedom. High quality reconstruction of fMRI data from undersampled measurements requires proper modeling of the data. We present an fMRI reconstruction approach based on modeling the fMRI signal as a sum of periodic and fixed rank components, for improved reconstruction from undersampled measurements...
September 25, 2017: Medical Physics
https://www.readbyqxmd.com/read/28943846/a-computational-model-for-the-automatic-diagnosis-of-attention-deficit-hyperactivity-disorder-based-on-functional-brain-volume
#17
Lirong Tan, Xinyu Guo, Sheng Ren, Jeff N Epstein, Long J Lu
In this paper, we investigated the problem of computer-aided diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) using machine learning techniques. With the ADHD-200 dataset, we developed a Support Vector Machine (SVM) model to classify ADHD patients from typically developing controls (TDCs), using the regional brain volumes as predictors. Conventionally, the volume of a brain region was considered to be an anatomical feature and quantified using structural magnetic resonance images. One major contribution of the present study was that we had initially proposed to measure the regional brain volumes using fMRI images...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28943838/a-novel-feature-map-based-ica-model-for-identifying-the-individual-intra-inter-group-brain-networks-across-multiple-fmri-datasets
#18
Nizhuan Wang, Chunqi Chang, Weiming Zeng, Yuhu Shi, Hongjie Yan
Independent component analysis (ICA) has been widely used in functional magnetic resonance imaging (fMRI) data analysis to evaluate functional connectivity of the brain; however, there are still some limitations on ICA simultaneously handling neuroimaging datasets with diverse acquisition parameters, e.g., different repetition time, different scanner, etc. Therefore, it is difficult for the traditional ICA framework to effectively handle ever-increasingly big neuroimaging datasets. In this research, a novel feature-map based ICA framework (FMICA) was proposed to address the aforementioned deficiencies, which aimed at exploring brain functional networks (BFNs) at different scales, e...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28940855/long-term-effects-of-cognitive-rehabilitation-on-brain-functional-outcome-and-cognition-in-parkinson-s-disease
#19
María Díez-Cirarda, Natalia Ojeda, Javier Peña, Alberto Cabrera-Zubizarreta, Olaia Lucas-Jiménez, Juan Carlos Gómez-Esteban, Maria Ángeles Gómez-Beldarrain, Naroa Ibarretxe-Bilbao
BACKGROUND: Cognitive rehabilitation has demonstrated efficacy in producing short-term cognitive and brain changes in Parkinson's disease (PD) patients. To date, no study has assessed the long-term effects of cognitive rehabilitation using neuroimaging techniques in PD. The aim was to assess the longitudinal effects of a 3-month cognitive rehabilitation program evaluating the cognitive, behavioural and neuroimaging changes after 18 months. METHODS: Fifteen PD patients underwent a cognitive, behavioural and neuroimaging assessment at pre-treatment (T0 ), post-treatment (T1 ) and after 18-months (T2 )...
September 23, 2017: European Journal of Neurology: the Official Journal of the European Federation of Neurological Societies
https://www.readbyqxmd.com/read/28931808/electroconvulsive-therapy-induced-brain-functional-connectivity-predicts-therapeutic-efficacy-in-patients-with-schizophrenia-a-multivariate-pattern-recognition-study
#20
Peng Li, Ri-Xing Jing, Rong-Jiang Zhao, Zeng-Bo Ding, Le Shi, Hong-Qiang Sun, Xiao Lin, Teng-Teng Fan, Wen-Tian Dong, Yong Fan, Lin Lu
Previous studies suggested that electroconvulsive therapy can influence regional metabolism and dopamine signaling, thereby alleviating symptoms of schizophrenia. It remains unclear what patients may benefit more from the treatment. The present study sought to identify biomarkers that predict the electroconvulsive therapy response in individual patients. Thirty-four schizophrenia patients and 34 controls were included in this study. Patients were scanned prior to treatment and after 6 weeks of treatment with antipsychotics only (n = 16) or a combination of antipsychotics and electroconvulsive therapy (n = 13)...
May 11, 2017: NPJ Schizophrenia
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"