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https://www.readbyqxmd.com/read/28641247/modeling-task-fmri-data-via-deep-convolutional-autoencoder
#1
Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu
Task-based fMRI (tfMRI) has been widely used to study functional brain networks under task performance. Modeling tfMRI data is challenging due to at least two problems: the lack of the ground truth of underlying neural activity and the highly complex intrinsic structure of tfMRI data. To better understand brain networks based on fMRI data, data-driven approaches have been proposed, for instance, Independent Component Analysis (ICA) and Sparse Dictionary Learning (SDL). However, both ICA and SDL only build shallow models, and they are under the strong assumption that original fMRI signal could be linearly decomposed into time series components with their corresponding spatial maps...
June 15, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28641239/automatic-recognition-of-fmri-derived-functional-networks-using-3d-convolutional-neural-networks
#2
Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu
Current fMRI data modeling techniques such as Independent Component Analysis (ICA) and Sparse Coding methods can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simultaneously from the whole brain fMRI signals. However, such reconstructed networks have no correspondences across different subjects. Thus, automatic, effective and accurate classification and recognition of these large numbers of fMRI-derived functional brain networks are very important for subsequent steps of functional brain analysis in cognitive and clinical neuroscience applications...
June 15, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28641131/children-s-brain-activation-during-risky-decision-making-a-contributor-to-substance-problems
#3
Thomas J Crowley, Manish S Dalwani, Joseph T Sakai, Kristen M Raymond, Shannon K McWilliams, Marie T Banich, Susan K Mikulich-Gilbertson
OBJECTIVE: Among young children excessive externalizing behaviors often predict adolescent conduct and substance use disorders. Adolescents with those disorders show aberrant brain function when choosing between risky or cautious options. We therefore asked whether similarly aberrant brain function during risky decision-making accompanies excessive externalizing behaviors among children, hypothesizing an association between externalizing severity and regional intensity of brain activation during risky decision-making...
June 4, 2017: Drug and Alcohol Dependence
https://www.readbyqxmd.com/read/28636929/intrinsic-functional-connectivity-alteration-of-dorsal-and-rostral-anterior-cingulate-cortex-in-obsessive-compulsive-disorder-a-resting-fmri-study
#4
Zongfeng Zhang, Qing Fan, Yajing Zhu, Ling Tan, Yongjun Chen, Rui Gao, Haiyin Zhang, Yao Li, Zeping Xiao
Cortico-striato-thalamo-cortical (CSTC) circuit has been implicated in OCD pathophysiology by converging neuroimaging findings. The anterior cingulate cortex (ACC), as an important part within CSTC circuit, plays a critical role in OCD etiology. The ACC can be divided into dorsal and rostral parts anatomically, which are involved in cognitive process and emotional function, respectively. However, the diverse function of intrinsic signals from dorsal and rostral ACC regions remains unclear in OCD study. In this work, we applied resting-state functional magnetic resonance imaging (rs-fMRI) technology to investigate and differentiate the functional connectivity (FC) characteristics between dACC and rACC in unmedicated OCD patients...
June 18, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28635541/association-between-abnormal-brain-functional-connectivity-in-children-and-psychopathology-a-study-based-on-graph-theory-and-machine-learning
#5
João Ricardo Sato, Claudinei Eduardo Biazoli, Giovanni Abrahão Salum, Ary Gadelha, Nicolas Crossley, Gilson Vieira, André Zugman, Felipe Almeida Picon, Pedro Mario Pan, Marcelo Queiroz Hoexter, Edson Amaro, Mauricio Anés, Luciana Monteiro Moura, Marco Antonio Gomes Del'Aquilla, Philip Mcguire, Luis Augusto Rohde, Euripedes Constantino Miguel, Andrea Parolin Jackowski, Rodrigo Affonseca Bressan
OBJECTIVES: One of the major challenges facing psychiatry is how to incorporate biological measures in the classification of mental health disorders. Many of these disorders affect brain development and its connectivity. In this study, we propose a novel method for assessing brain networks based on the combination of a graph theory measure (eigenvector centrality) and a one-class support vector machine (OC-SVM). METHODS: We applied this approach to resting-state fMRI data from 622 children and adolescents...
February 8, 2017: World Journal of Biological Psychiatry
https://www.readbyqxmd.com/read/28634465/abnormal-resting-state-functional-connectivity-in-progressive-supranuclear-palsy-and-corticobasal-syndrome
#6
Komal Bharti, Matteo Bologna, Neeraj Upadhyay, Maria Cristina Piattella, Antonio Suppa, Nikolaos Petsas, Costanza Giannì, Francesca Tona, Alfredo Berardelli, Patrizia Pantano
BACKGROUND: Pathological and MRI-based evidence suggests that multiple brain structures are likely to be involved in functional disconnection between brain areas. Few studies have investigated resting-state functional connectivity (rsFC) in progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). In this study, we investigated within- and between-network rsFC abnormalities in these two conditions. METHODS: Twenty patients with PSP, 11 patients with CBS, and 16 healthy subjects (HS) underwent a resting-state fMRI study...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28634448/from-behavioral-facilitation-to-inhibition-the-neuronal-correlates-of-the-orienting-and-reorienting-of-auditory-attention
#7
Faith M Hanlon, Andrew B Dodd, Josef M Ling, Juan R Bustillo, Christopher C Abbott, Andrew R Mayer
Successful adaptive behavior relies on the ability to automatically (bottom-up) orient attention to different locations in the environment. This results in a biphasic pattern in which reaction times (RT) are faster for stimuli that occur in the same spatial location (valid) for the first few hundred milliseconds, which is termed facilitation. This is followed by faster RT for stimuli that appear in novel locations (invalid) after longer delays, termed inhibition of return. The neuronal areas and networks involved in the transition between states of facilitation and inhibition remain poorly understood, especially for auditory stimuli...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28634439/inconsistency-in-abnormal-brain-activity-across-cohorts-of-adhd-200-in-children-with-attention-deficit-hyperactivity-disorder
#8
Jian-Bao Wang, Li-Jun Zheng, Qing-Jiu Cao, Yu-Feng Wang, Li Sun, Yu-Feng Zang, Hang Zhang
Many papers have shown results from the multi-site dataset of resting-state fMRI (rs-fMRI) in attention deficit hyperactivity disorder (ADHD), a data-sharing project named ADHD-200. However, few studies have illustrated that to what extent the pooled findings were consistent across cohorts. The present study analyzed three voxel-wise whole-brain metrics, i.e., amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and degree centrality (DC) based on the pooled dataset as well as individual cohort of ADHD-200...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28634438/computational-models-of-anterior-cingulate-cortex-at-the-crossroads-between-prediction-and-effort
#9
Eliana Vassena, Clay B Holroyd, William H Alexander
In the last two decades the anterior cingulate cortex (ACC) has become one of the most investigated areas of the brain. Extensive neuroimaging evidence suggests countless functions for this region, ranging from conflict and error coding, to social cognition, pain and effortful control. In response to this burgeoning amount of data, a proliferation of computational models has tried to characterize the neurocognitive architecture of ACC. Early seminal models provided a computational explanation for a relatively circumscribed set of empirical findings, mainly accounting for EEG and fMRI evidence...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28634305/data-driven-extraction-of-a-nested-model-of-human-brain-function
#10
Taylor Bolt, Jason S Nomi, B T Thomas Yeo, Lucina Q Uddin
Decades of cognitive neuroscience research have revealed two basic facts regarding task-driven brain activation patterns. First, distinct patterns of activation occur in response to different task demands. Second, a superordinate, dichotomous pattern of activation/de-activation, is common across a variety of task demands. We explore the possibility that a hierarchical model incorporates these two observed brain activation phenomena into a unifying framework. We apply a latent variable approach, exploratory bi-factor analysis, to a large set of human (both sexes) brain activation maps (n = 108) encompassing cognition, perception, action and emotion behavioral domains, to determine the potential existence of a nested structure of factors that underlies a variety of commonly observed activation patterns...
June 20, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28634048/activation-volume-vs-bold-signal-change-as-measures-of-fmri-activation-its-impact-on-gaba-fmri-activation-correlation
#11
Pallab K Bhattacharyya, Micheal D Phillips, Lael A Stone, Mark J Lowe
PURPOSE: To explore the relative robustness of functional MRI (fMRI) activation volume and blood oxygen level-dependent (BOLD) signal change as fMRI metric, and to study the effect of relative robustness on the correlation between fMRI activation and cortical gamma amino butyric acid (GABA) in healthy controls and patients with multiple sclerosis (MS). METHODS: fMRI data were acquired from healthy controls and patients with MS, with the subjects peforming self paced bilateral finger tapping in block design...
June 17, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28633886/remembering-and-imagining-alternative-versions-of-the-personal-past
#12
Peggy L St Jacques, Alexis C Carpenter, Karl K Szpunar, Daniel L Schacter
Although autobiographical memory and episodic simulations recruit similar core brain regions, episodic simulations engage additional neural recruitment in the frontoparietal control network due to greater demands on constructive processes. However, previous functional neuroimaging studies showing differences in remembering and episodic simulation have focused on veridical retrieval of past experiences, and thus have not fully considered how retrieving the past in different ways from how it was originally experienced may also place similar demands on constructive processes...
June 17, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28633562/advances-in-imaging-brain-metabolism
#13
Fahmeed Hyder, Douglas L Rothman
Metabolism is central to neuroimaging because it can reveal pathways by which neuronal and glial cells use nutrients to fuel their growth and function. We focus on advanced magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) methods used in brain metabolic studies. (17)O-MRS and (31)P-MRS, respectively, provide rates of oxygen use and ATP synthesis inside mitochondria, whereas (19)F-MRS enables measurement of cytosolic glucose metabolism. Calibrated functional MRI (fMRI), an advanced form of fMRI that uses contrast generated by deoxyhemoglobin, provides maps of oxygen use that track neuronal firing across brain regions...
June 21, 2017: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/28633369/fine-subdivisions-of-the-semantic-network-supporting-social-and-sensory-motor-semantic-processing
#14
Nan Lin, Xiaoying Wang, Yangwen Xu, Xiaosha Wang, Huimin Hua, Ying Zhao, Xingshan Li
Neuroimaging studies have consistently indicated that semantic processing involves a brain network consisting of multimodal cortical regions distributed in the frontal, parietal, and temporal lobes. However, little is known about how semantic information is organized and processed within the network. Some recent studies have indicated that sensory-motor semantic information modulates the activation of this network. Other studies have indicated that this network responds more to social semantic information than to other information...
June 15, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28633363/development-initial-testing-and-challenges-of-an-ecologically-valid-reward-prediction-error-fmri-task-for-alcoholism
#15
Anita Cservenka, Kelly E Courtney, Dara G Ghahremani, Kent E Hutchison, Lara A Ray
Aims: To advance translational studies of the role of reward prediction error (PE) in alcohol use disorder, the present study sought to develop and conduct an initial test of an alcohol-specific PE task paradigm using functional magnetic resonance imaging in humans. Methods: Alcohol dependent or social drinkers received small tastes of their preferred alcohol beverage or control beverage, with preceding visual cues indicating whether alcohol (or water) would be delivered...
June 14, 2017: Alcohol and Alcoholism: International Journal of the Medical Council on Alcoholism
https://www.readbyqxmd.com/read/28633048/affective-traits-and-history-of-depression-are-related-to-ventral-striatum-connectivity
#16
Sophie R DelDonno, Lisanne M Jenkins, Natania A Crane, Robin Nusslock, Kelly A Ryan, Stewart A Shankman, K Luan Phan, Scott A Langenecker
INTRODUCTION: Studying remitted Major Depressive Disorder (rMDD) facilitates a better understanding of neural mechanisms for risk, given that confounding effects of active symptoms are removed. Disrupted functional connectivity has been reported in multiple networks in MDD. However, no study to date of rMDD has specifically examined connectivity of the ventral striatum (VS), a region highly implicated in reward and motivation. We investigated functional connectivity of the VS in individuals with and without a history of MDD, and in relation to affective personality traits...
June 15, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28631734/learning-relative-values-in-the-striatum-induces-violations-of-normative-decision-making
#17
Tilmann A Klein, Markus Ullsperger, Gerhard Jocham
To decide optimally between available options, organisms need to learn the values associated with these options. Reinforcement learning models offer a powerful explanation of how these values are learnt from experience. However, human choices often violate normative principles. We suggest that seemingly counterintuitive decisions may arise as a natural consequence of the learning mechanisms deployed by humans. Here, using fMRI and a novel behavioural task, we show that, when suddenly switched to novel choice contexts, participants' choices are incongruent with values learnt by standard learning algorithms...
June 20, 2017: Nature Communications
https://www.readbyqxmd.com/read/28631281/detecting-large-scale-networks-in-the-human-brain-using-high-density-electroencephalography
#18
Quanying Liu, Seyedehrezvan Farahibozorg, Camillo Porcaro, Nicole Wenderoth, Dante Mantini
High-density electroencephalography (hdEEG) is an emerging brain imaging technique that can be used to investigate fast dynamics of electrical activity in the healthy and the diseased human brain. Its applications are however currently limited by a number of methodological issues, among which the difficulty in obtaining accurate source localizations. In particular, these issues have so far prevented EEG studies from reporting brain networks similar to those previously detected by functional magnetic resonance imaging (fMRI)...
June 20, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28631147/the-motor-cortical-representation-of-a-muscle-is-not-homogeneous-in-brain-connectivity
#19
Jo Armour Smith, Alaa Albishi, Sarine Babikian, Skulpan Asavasopon, Beth E Fisher, Jason J Kutch
Functional connectivity patterns of the motor cortical representational area of single muscles have not been extensively mapped in humans, particularly for the axial musculature. Functional connectivity may provide a neural substrate for adaptation of muscle activity in axial muscles that have both voluntary and postural functions. The purpose of this study was to combine brain stimulation and neuroimaging to both map the cortical representation of the external oblique (EO) in primary motor cortex (M1) and supplementary motor area (SMA), and to establish the resting-state functional connectivity associated with this representation...
June 19, 2017: Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale
https://www.readbyqxmd.com/read/28630254/reward-selectively-modulates-the-lingering-neural-representation-of-recently-attended-objects-in-natural-scenes
#20
Clayton Hickey, Marius Peelen
Theories of reinforcement learning and approach behaviour suggest that reward can increase the perceptual salience of environmental stimuli, ensuring that potential predictors of outcome are noticed in the future. But outcome commonly follows visual processing of the environment, occurring even when potential reward cues have long disappeared. How can reward feedback retroactively cause now-absent stimuli to become attention-drawing in the future? One possibility is that reward and attention interact to prime lingering visual representations of attended stimuli that sustain through the interval separating stimulus and outcome...
June 19, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
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