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https://www.readbyqxmd.com/read/29783076/disrupted-reward-and-cognitive-control-networks-contribute-to-anhedonia-in-depression
#1
Liang Gong, Cancan He, Haisan Zhang, Hongxing Zhang, Zhijun Zhang, Chunming Xie
Neuroimaging studies have identified that anhedonia, a core feature of major depressive disorder (MDD), is associated with dysfunction in reward and cognitive control processing. However, it is still not clear how the reward network (β-network) and the cognitive control network (δ-network) are linked to biased anhedonia in MDD patients. Sixty-eight MDD patients and 64 cognitively normal (CN) subjects underwent a resting-state functional magnetic resonance imaging scan. A 2*2 ANCOVA analysis was used to explore the differences in the nucleus accumbens-based, voxelwise functional connectivity (FC) between the groups...
May 12, 2018: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/29781808/tensor-driven-extraction-of-developmental-features-from-varying-paediatric-eeg-datasets
#2
Eli Kinney-Lang, Loukianos Spyrou, Ahmed Ebied, Richard Fm Chin, Javier Escudero
Constant changes in developing children's brains can pose a challenge in EEG dependant technologies. Advancing signal processing methods to identify developmental differences in paediatric populations could help improve function and usability of such technologies. Taking advantage of the multi-dimensional structure of EEG data through tensor analysis may offer a framework for extracting relevant developmental features of paediatric datasets. A proof of concept is demonstrated through identifying latent developmental features in resting-state EEG...
May 21, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29781581/brain-correlates-of-continuous-pain-in-rheumatoid-arthritis-as-measured-by-pulsed-arterial-spin-labeling
#3
Yvonne C Lee, Alexander Fine, Ekaterina Protsenko, Elena Massarotti, Robert R Edwards, Ishtiaq Mawla, Vitaly Napadow, Marco L Loggia
OBJECTIVE: Central nervous system pathways involving pain modulation shape the pain experience in patients with chronic pain. Our objectives were to understand the mechanisms underlying pain in rheumatoid arthritis (RA) and identify brain signals that may serve as imaging markers for developing targeted treatments for RA pain. METHODS: Subjects with RA and matched controls underwent functional magnetic resonance imaging, using pulsed arterial spin labeling (pASL)...
May 21, 2018: Arthritis Care & Research
https://www.readbyqxmd.com/read/29780604/effect-of-long-term-high-altitude-exposure-on-cardiovascular-autonomic-adjustment-during-rest-and-post-exercise-recovery
#4
Prem Bhattarai, Bishnu H Paudel, Dilip Thakur, Balkrishna Bhattarai, Bijay Subedi, Rita Khadka
Background: Despite the successful adaptation to high altitude, some differences do occur due to long term exposure to the hypoxic environment. The effect of long term high altitude exposure on cardiac autonomic adjustment during basal and post-exercise recovery is less known. Thus we aimed to study the differences in basal cardiac autonomic adjustment and its response to exercise in highlanders and to compare it with lowlanders. Methods: The study was conducted on 29 healthy highlander males who were born and brought up at altitude of 3000 m and above from the sea level, their cardiac autonomic adjustment was compared with age, sex, physical activity and ethnicity-matched 29 healthy lowlanders using Heart Rate Variability (HRV) during rest and recovery from sub-maximal exercise (3 m step test)...
2018: Annals of Occupational and Environmental Medicine
https://www.readbyqxmd.com/read/29780309/generation-of-individual-whole-brain-atlases-with-resting-state-fmri-data-using-simultaneous-graph-computation-and-parcellation
#5
J Wang, Z Hao, H Wang
The human brain can be characterized as functional networks. Therefore, it is important to subdivide the brain appropriately in order to construct reliable networks. Resting-state functional connectivity-based parcellation is a commonly used technique to fulfill this goal. Here we propose a novel individual subject-level parcellation approach based on whole-brain resting-state functional magnetic resonance imaging (fMRI) data. We first used a supervoxel method known as simple linear iterative clustering directly on resting-state fMRI time series to generate supervoxels, and then combined similar supervoxels to generate clusters using a clustering method known as graph-without-cut (GWC)...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29780302/unified-bayesian-estimator-of-eeg-reference-at-infinity-rrest-regularized-reference-electrode-standardization-technique
#6
Shiang Hu, Dezhong Yao, Pedro A Valdes-Sosa
The choice of reference for the electroencephalogram (EEG) is a long-lasting unsolved issue resulting in inconsistent usages and endless debates. Currently, both the average reference (AR) and the reference electrode standardization technique (REST) are two primary, apparently irreconcilable contenders. We propose a theoretical framework to resolve this reference issue by formulating both (a) estimation of potentials at infinity, and (b) determination of the reference, as a unified Bayesian linear inverse problem, which can be solved by maximum a posterior estimation...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29779671/resting-state-connectivity-biomarkers-of-cognitive-performance-and-social-function-in-individuals-with-schizophrenia-spectrum-disorder-and-healthy-control-subjects
#7
Joseph D Viviano, Robert W Buchanan, Navona Calarco, James M Gold, George Foussias, Nikhil Bhagwat, Laura Stefanik, Colin Hawco, Pamela DeRosse, Miklos Argyelan, Jessica Turner, Sofia Chavez, Peter Kochunov, Peter Kingsley, Xiangzhi Zhou, Anil K Malhotra, Aristotle N Voineskos
BACKGROUND: Deficits in neurocognition and social cognition are drivers of reduced functioning in schizophrenia spectrum disorders, with potentially shared neurobiological underpinnings. Many studies have sought to identify brain-based biomarkers of these clinical variables using a priori dichotomies (e.g., good vs. poor cognition, deficit vs. nondeficit syndrome). METHODS: We evaluated a fully data-driven approach to do the same by building and validating a brain connectivity-based biomarker of social cognitive and neurocognitive performance in a sample using resting-state and task-based functional magnetic resonance imaging (n = 74 healthy control participants, n = 114 persons with schizophrenia spectrum disorder, 188 total)...
April 13, 2018: Biological Psychiatry
https://www.readbyqxmd.com/read/29778509/longitudinal-observations-using-simultaneous-fmri-multiple-channel-electrophysiology-recording-and-chemical-microiontophoresis-in-the-rat-brain
#8
Saul Jaime, Jose E Cavazos, Yihong Yang, Hanbing Lu
BACKGROUND: fMRI blood oxygenation level-dependent (BOLD) signal has been widely used as a surrogate for neural activity. However, interpreting differences in BOLD fMRI based on underlying neuronal activity remains a challenge. Concurrent rsMRI data collection and electrophysiological recording in combination with microiontophoretically injected modulatory chemicals allows for improved understanding of the relationship between resting state BOLD and neuronal activity. NEW METHODS: Simultaneous fMRI, multi-channel intracortical electrophysiology and focal pharmacological manipulation data to be acquired longitudinally in rats for up to 2 months...
May 17, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29778276/dissociable-frontostriatal-connectivity-mechanism-and-predictor-of-the-clinical-efficacy-of-capsulotomy-in-obsessive-compulsive-disorder
#9
Dazhi Yin, ChenCheng Zhang, Qiming Lv, Xiaoyu Chen, Kristina Zeljic, Hengfen Gong, Shikun Zhan, Haiyan Jin, Zheng Wang, Bomin Sun
BACKGROUND: Little is known about the neural mechanism and response variability underlying neurosurgical interventions for intractable obsessive-compulsive disorder (OCD). METHODS: Of 81 OCD patients screened for capsulotomy identified in our institutional database, 36 patients with clinical assessment before and after capsulotomy and imaging data (9 of 36 patients without postoperative imaging data used as an independent test group), and 29 healthy control subjects were retrospectively recruited...
April 22, 2018: Biological Psychiatry
https://www.readbyqxmd.com/read/29777828/mutual-connectivity-analysis-of-resting-state-functional-mri-data-with-local-models
#10
Adora M DSouza, Anas Z Abidin, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller
Functional connectivity analysis of functional MRI (fMRI) can represent brain networks and reveal insights into interactions amongst different brain regions. However, most connectivity analysis approaches adopted in practice are linear and non-directional. In this paper, we demonstrate the advantage of a data-driven, directed connectivity analysis approach called Mutual Connectivity Analysis using Local Models (MCA-LM) that approximates connectivity by modeling nonlinear dependencies of signal interaction, over more conventionally used approaches, such as Pearson's and partial correlation, Patel's conditional dependence measures, etcetera...
May 16, 2018: NeuroImage
https://www.readbyqxmd.com/read/29777824/brain-network-segregation-and-integration-during-an-epoch-related-working-memory-fmri-experiment
#11
Peter Fransson, Björn C Schiffler, William Hedley Thompson
The characterization of brain subnetwork segregation and integration has previously focused on changes that are detectable at the level of entire sessions or epochs of imaging data. In this study, we applied time-varying functional connectivity analysis together with temporal network theory to calculate point-by-point estimates in subnetwork segregation and integration during an epoch-based (2-back, 0-back, baseline) working memory fMRI experiment as well as during resting-state. This approach allowed us to follow task-related changes in subnetwork segregation and integration at a high temporal resolution...
May 16, 2018: NeuroImage
https://www.readbyqxmd.com/read/29777822/effects-of-global-signal-regression-and-subtraction-methods-on-resting-state-functional-connectivity-using-arterial-spin-labeling-data
#12
João Paulo Santos Silva, Luciana da Mata Mônaco, André Monteiro Paschoal, Ícaro Agenor Ferreira de Oliveira, Renata Ferranti Leoni
BACKGROUND: Arterial spin labeling (ASL) is an established magnetic resonance imaging (MRI) technique that is finding broader applications in functional studies of the healthy and diseased brain. To promote improvement in cerebral blood flow (CBF) signal specificity, many algorithms and imaging procedures, such as subtraction methods, were proposed to eliminate or, at least, minimize noise sources. Therefore, this study addressed the main considerations of how CBF functional connectivity (FC) is changed, regarding resting brain network (RBN) identification and correlations between regions of interest (ROI), by different subtraction methods and removal of residual motion artifacts and global signal fluctuations (RMAGSF)...
May 16, 2018: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/29777479/frontal-delta-beta-cross-frequency-coupling-in-high-and-low-social-anxiety-an-index-of-stress-regulation
#13
Eefje S Poppelaars, Anita Harrewijn, P Michiel Westenberg, Melle J W van der Molen
Cross-frequency coupling (CFC) between frontal delta (1-4 Hz) and beta (14-30 Hz) oscillations has been suggested as a candidate neural correlate of social anxiety disorder, a disorder characterized by fear and avoidance of social and performance situations. Prior studies have used amplitude-amplitude correlation (AAC) as a CFC measure and hypothesized it as a candidate neural mechanism of affective control. However, using this metric has yielded inconsistent results regarding the direction of CFC, and the functional significance of coupling strength is uncertain...
May 17, 2018: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/29774625/effect-of-phase-encoding-direction-on-group-analysis-of-resting-state-functional-magnetic-resonance-imaging
#14
Yasuo Mori, Jun Miyata, Masanori Isobe, Shuraku Son, Yujiro Yoshihara, Toshihiko Aso, Takanori Kouchiyama, Toshiya Murai, Hidehiko Takahashi
AIM: Echo-planar imaging is a common technique used in functional magnetic resonance imaging (fMRI), however it suffers from image distortion and signal loss because of large susceptibility effects that are related to the phase-encoding direction of the scan. Despite this relationship, the majority of neuroimaging studies have not considered the influence of phase-encoding direction. Here, we aimed to clarify how phase-encoding direction can affect the outcome of an fMRI connectivity study of schizophrenia...
May 17, 2018: Psychiatry and Clinical Neurosciences
https://www.readbyqxmd.com/read/29774500/thalamocortical-dysconnectivity-in-premenstrual-syndrome
#15
Peng Liu, Ying Wei, Hai Liao, Yingying Fan, Ru Li, Nana Feng, Gaoxiong Duan, Demao Deng, Wei Qin
Premenstrual syndrome (PMS) is a menstrual cycle-related disorder. Although the precise pathophysiology is not fully understood, it is increasingly believed that the central nervous system plays a vital role in the development of PMS. The aim of this study is to elucidate specific functional connectivity between the thalamus and cerebral cortex. Resting-state functional magnetic resonance imaging (fMRI) data were obtained from 20 PMS patients and 21 healthy controls (HCs). Seed-based functional connectivity between the thalamus and six cortical regions of interest, including the prefrontal cortex (PFC), posterior parietal cortex, somatosensory cortex, motor cortex/supplementary motor area, temporal and occipital lobe, was adopted to identify specific thalamocortical connectivity in the two groups...
May 17, 2018: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29774244/classification-and-characterisation-of-brain-network-changes-in-chronic-back-pain-a-multicenter-study
#16
Hiroaki Mano, Gopal Kotecha, Kenji Leibnitz, Takashi Matsubara, Aya Nakae, Nicholas Shenker, Masahiko Shibata, Valerie Voon, Wako Yoshida, Michael Lee, Toshio Yanagida, Mitsuo Kawato, Maria Joao Rosa, Ben Seymour
Background. Chronic pain is a common, often disabling condition thought to involve a combination of peripheral and central neurobiological factors. However, the extent and nature of changes in the brain is poorly understood. Methods. We investigated brain network architecture using resting-state fMRI data in chronic back pain patients in the UK and Japan (41 patients, 56 controls), as well as open data from USA. We applied machine learning and deep learning (conditional variational autoencoder architecture) methods to explore classification of patients/controls based on network connectivity...
2018: Wellcome Open Research
https://www.readbyqxmd.com/read/29774003/disrupted-spontaneous-neural-activity-related-to-cognitive-impairment-in-postpartum-women
#17
Jin-Xia Zheng, Yu-Chen Chen, Huiyou Chen, Liang Jiang, Fan Bo, Yuan Feng, Wen-Wei Tang, Xindao Yin, Jian-Ping Gu
Purpose: Prior research has demonstrated that the postpartum period is associated with an increased risk of cognitive impairment. This study aims to investigate whether disrupted spontaneous neural activity exists in postpartum women without depression using resting-state functional magnetic resonance imaging (rs-fMRI) and to detect the relationship between these abnormalities and cognitive impairment. Materials and Methods: Postpartum women ( n = 22) were compared with age- and education-matched nulliparous women ( n = 23) using rs-fMRI...
2018: Frontiers in Psychology
https://www.readbyqxmd.com/read/29773153/differential-electrophysiological-correlates-of-panic-disorder-in-non-pulsatile-tinnitus
#18
T Pattyn, S Vanneste, D De Ridder, V Van Rompaey, D J Veltman, P Van de Heyning, Bcg Sabbe, F Van Den Eede
AIMS: The prevalence of panic disorder (PD) reportedly is up to fivefold higher in people with tinnitus than it is in the general population. The brain networks in the two conditions overlap but the pathophysiological link remains unclear. In this study the electrophysiological brain activity is investigated in adults with non-pulsatile tinnitus with and without concurrent PD. METHODS: Resting-state EEGs of 16 participants with non-pulsatile tinnitus and PD were compared with those of 16 peers with non-pulsatile tinnitus without PD and as many healthy controls...
June 2018: Journal of Psychosomatic Research
https://www.readbyqxmd.com/read/29772217/altered-activity-and-information-flow-in-the-default-mode-network-of-pilocarpine-induced-epilepsy-rats
#19
Yan Cui, Shuang Yu, Tianjiao Zhang, Yangsong Zhang, Yang Xia, Dezhong Yao, Daqing Guo
Temporal lobe epilepsy (TLE) is considered a brain activity disorder that is likely related to allomnesia and conscious disturbance. In rodents, TLE epileptiform discharges can be triggered by systemic administration of a dose of pilocarpine. However, how these pilocarpine-induced epileptiform discharges generate and propagate through the whole brain has not been well studied. In this study, we sought to assess alterations of activity and information flow in the default mode network (DMN) during TLE epileptiform discharges in pilocarpine-induced TLE rats...
May 14, 2018: Brain Research
https://www.readbyqxmd.com/read/29771186/cross-modal-plasticity-among-sensory-networks-in-neuromyelitis-optica-spectrum-disorders
#20
Maria Assunta Rocca, Filippo Savoldi, Paola Valsasina, Marta Radaelli, Paolo Preziosa, Giancarlo Comi, Andrea Falini, Massimo Filippi
OBJECTIVE: To explore resting-state (RS) functional connectivity (FC) of the main sensory/motor networks of patients with neuromyelitis optica spectrum disorders (NMOSDs), clinically isolated optic neuritis (ON), and myelitis. METHODS: Clinical evaluation and RS fMRI were obtained from 28 NMOSD, 11 recurrent ON, and 12 recurrent myelitis patients and 30 healthy controls. Between-group RS FC comparisons and correlations with motor performance were assessed (SPM12) on the main sensory/motor RS networks (RSNs) identified by independent component analysis...
May 1, 2018: Multiple Sclerosis: Clinical and Laboratory Research
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