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Resting state fMRI

Xia-An Bi, Yang Wang, Qing Shu, Qi Sun, Qian Xu
Autism spectrum disorder (ASD) is mainly reflected in the communication and language barriers, difficulties in social communication, and it is a kind of neurological developmental disorder. Most researches have used the machine learning method to classify patients and normal controls, among which support vector machines (SVM) are widely employed. But the classification accuracy of SVM is usually low, due to the usage of a single SVM as classifier. Thus, we used multiple SVMs to classify ASD patients and typical controls (TC)...
2018: Frontiers in Genetics
Xudong Yao, Zhiyang Yin, Fang Liu, Shengnan Wei, Yifang Zhou, Xiaowei Jiang, Yange Wei, Ke Xu, Fei Wang, Yanqing Tang
BACKGROUND: Bipolar depression (BD) is easily misdiagnosed as unipolar depression (UD) or major depressive disorder (MDD) because the depressive symptoms can overlap. Regional homogeneity (ReHo), a measure commonly used for analyzing resting-state fMRI data, has been applied to the study of various neuropsychiatric disorders. However, to date, studies directly comparing BD and UD using ReHo have been relatively scarce. Further investigation is needed to study the latent pathophysiological mechanisms of BD and UD...
February 18, 2018: Neuroscience Letters
Chunhui Bao, Peng Liu, Huirong Liu, Xiaoming Jin, Yin Shi, Luyi Wu, Xiaoqing Zeng, Jianye Zhang, Di Wang, Vince D Calhoun, Jie Tian, Huangan Wu
Patients with Crohn's disease (CD) are shown to have abnormal changes in brain structures. This study aimed to further investigate whether these patients have abnormal brain activities and network connectivity. Sixty patients with CD and 40 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (fMRI) scans. Amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity (FC) were used to assess differences in spontaneous regional brain activity and functional connectivity...
February 20, 2018: Brain Imaging and Behavior
Frances K Johnson, Jean-Christophe Delpech, Garth J Thompson, Lan Wei, Jin Hao, Peter Herman, Fahmeed Hyder, Arie Kaffman
Childhood maltreatment is associated with a wide range of psychopathologies including anxiety that emerge in childhood and in many cases persist in adulthood. Increased amygdala activation in response to threat and abnormal amygdala connectivity with frontolimbic brain regions, such as the hippocampus and the prefrontal cortex, are some of the most consistent findings seen in individuals exposed to childhood maltreatment. The underlying mechanisms responsible for these changes are difficult to study in humans but can be elucidated using animal models of early-life stress...
February 21, 2018: Translational Psychiatry
Elisa Canu, Elisabetta Sarasso, Massimo Filippi, Federica Agosta
BACKGROUND: A growing number of pharmacological and nonpharmacological trials have been performed to test the efficacy of approved or experimental treatments in Alzheimer disease (AD) and mild cognitive impairment (MCI). In this context, functional magnetic resonance imaging (fMRI) may be a good candidate to detect brain changes after a short period of treatment. MAIN BODY: This critical review aimed to identify and discuss the available studies that have tested the efficacy of pharmacological and nonpharmacological treatments in AD and MCI cases using task-based or resting-state fMRI measures as primary outcomes...
February 20, 2018: Alzheimer's Research & Therapy
Jianxin Dong, Bin Jing, Xiangyu Ma, Han Liu, Xiao Mo, Haiyun Li
Exploring functional information among various brain regions across time enables understanding of healthy aging process and holds great promise for age-related brain disease diagnosis. This paper proposed a method to explore fractal complexity of the resting-state functional magnetic resonance imaging (rs-fMRI) signal in the human brain across the adult lifespan using Hurst exponent (HE). We took advantage of the examined rs-fMRI data from 116 adults 19 to 85 years of age (44.3 ± 19.4 years, 49 females) from NKI/Rockland sample...
2018: Frontiers in Neuroscience
Runa Bhaumik, Ashish Pradhan, Soptik Das, Dulal K Bhaumik
The advances in neuroimaging methods reveal that resting-state functional fMRI (rs-fMRI) connectivity measures can be potential diagnostic biomarkers for autism spectrum disorder (ASD). Recent data sharing projects help us replicating the robustness of these biomarkers in different acquisition conditions or preprocessing steps across larger numbers of individuals or sites. It is necessary to validate the previous results by using data from multiple sites by diminishing the site variations. We investigated partial least square regression (PLS), a domain adaptive method to adjust the effects of multicenter acquisition...
February 17, 2018: Neuroinformatics
Michaël E Belloy, Maarten Naeyaert, Anzar Abbas, Disha Shah, Verdi Vanreusel, Johan van Audekerke, Shella D Keilholz, Georgios A Keliris, Annemie Van der Linden, Marleen Verhoye
Time-resolved 'dynamic' over whole-period 'static' analysis of low frequency (LF) blood-oxygen level dependent (BOLD) fluctuations provides many additional insights into the macroscale organization and dynamics of neural activity. Although there has been considerable advancement in the development of mouse resting state fMRI (rsfMRI), very little remains known about its dynamic repertoire. Here, we report for the first time the detection of a set of recurring spatiotemporal Quasi-Periodic Patterns (QPPs) in mice, which show spatial similarity with known resting state networks...
February 15, 2018: NeuroImage
Jaime S Ide, Chiang-Shan R Li
Functional connectivity analysis is an essential tool for understanding brain function. Previous studies showed that brain regions are functionally connected through low-frequency signals both within the default mode network (DMN) and task networks. However, no studies have directly compared the time scale (frequency) properties of network connectivity during task versus rest, or examined how they relate to task performance. Here, using fMRI data collected from sixty-eight subjects at rest and during a stop signal task, we addressed this issue with a novel functional connectivity measure based on detrended partial cross-correlation analysis (DPCCA)...
February 15, 2018: NeuroImage
Zhengjun Li, Marta Vidorreta, Natalie Katchmar, David C Alsop, Daniel H Wolf, John A Detre
Resting state fMRI (rs-fMRI) provides imaging biomarkers of task-independent brain function that can be associated with clinical variables or modulated by interventions such as behavioral training or pharmacological manipulations. These biomarkers include time-averaged regional brain function as manifested by regional cerebral blood flow (CBF) measured using arterial spin labeled (ASL) perfusion MRI and correlated temporal fluctuations of function across brain networks with either ASL or blood oxygenation level dependent (BOLD) fMRI...
February 15, 2018: NeuroImage
Sien Hu, Jaime S Ide, Herta H Chao, Simon Zhornitsky, Kimberly A Fischer, Wuyi Wang, Sheng Zhang, Chiang-Shan R Li
Alcohol misuse is associated with dysfunction of the amygdala-prefrontal cortical circuit. The amygdala and its cortical targets show decreased activity during a variety of task challenges in individuals engaged in problem drinking. On the other hand, it is less clear how amygdala resting state functional connectivity (rsFC) may be altered in association with alcohol misuse and whether such changes are restricted to prefrontal cortical structures. Further, the influences of comorbid substance use and depression and potential sex differences have not been assessed in earlier work...
February 7, 2018: Drug and Alcohol Dependence
Farras Abdelnour, Michael Dayan, Orrin Devinsky, Thomas Thesen, Ashish Raj
How structural connectivity (SC) gives rise to functional connectivity (FC) is not fully understood. Here we mathematically derive a simple relationship between SC measured from diffusion tensor imaging, and FC from resting state fMRI. We establish that SC and FC are related via (structural) Laplacian spectra, whereby FC and SC share eigenvectors and their eigenvalues are exponentially related. This gives, for the first time, a simple and analytical relationship between the graph spectra of structural and functional networks...
February 14, 2018: NeuroImage
J M Traynor, K A R Doyle-Thomas, L C Hanford, N E Foster, A Tryfon, K L Hyde, E Anagnostou, A C Evans, L Zwaigenbaum, G B C Hall, NeuroDevNet Asd Imaging Group
The purpose of the current study was to examine how repetitive behaviour in Autism Spectrum Disorder (ASD) is related to intrinsic functional connectivity patterns in a number of large-scale, neural networks. Resting-state fMRI scans from thirty subjects with ASD and thirty-two age-matched, typically developing control subjects were analysed. Seed-to-voxel and ROI-to-ROI functional connectivity analyses were used to examine resting-state connectivity in a number of cortical and subcortical neural networks. Bivariate correlation analysis was performed to examine the relationship between repetitive behaviour scores from the Repetitive Behaviour Scale - Revised and intrinsic functional connectivity in ASD subjects...
February 14, 2018: Brain Research
Kevin R Patel, Sean Tobyne, Daria Porter, John Daniel Bireley, Victoria Smith, Eric Klawiter
Increased synchrony within neuroanatomical networks is often observed in neurophysiologic studies of human brain disease. Most often, this phenomenon is ascribed to a compensatory process in the face of injury, though evidence supporting such accounts is limited. Given the known dependence of resting-state functional connectivity (rsFC) on underlying structural connectivity (SC), we examine an alternative hypothesis: that topographical changes in SC, specifically particular patterns of disconnection, contribute to increased network rsFC...
February 16, 2018: Brain Structure & Function
Minghui Zhang, Haiyan Zhou, Liqing Liu, Lei Feng, Jie Yang, Gang Wang, Ning Zhong
OBJECTIVE: Some studies have shown that the functional electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) networks in those with major depressive disorders (MDDs) have an abnormal random topology. In this study we aimed to further investigate the characteristics of the randomized functional brain networks in MDDs by examining resting-state scalp-EEG data. METHODS: Based on the methods of independent component analysis (ICA) and graph theoretic analysis, the abnormalities in the power spectral density (PSD) functional brain networks were compared between 13 MDDs and 13 matched healthy controls (HCs)...
January 31, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
Powell P W Chu, Ali M Golestani, Jonathan B Kwinta, Yasha B Khatamian, J Jean Chen
The blood-oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) signal is commonly used to assess functional connectivity across brain regions, particularly in the resting state (rs-fMRI). However, the BOLD fMRI signal is not merely a representation of neural activity, but a combination of neural activity and vascular response. These aspects of the BOLD signal are easily influenced by systemic physiology, potentially biasing BOLD-based functional connectivity measurements. In this work, we focus on the following physiological modulators of the BOLD signal: cerebral blood flow (CBF), venous blood oxygenation, and cerebrovascular reactivity (CVR)...
February 13, 2018: NeuroImage
Mahlega S Hassanpour, Qingfei Luo, W Kyle Simmons, Justin S Feinstein, Martin P Paulus, Wen-Ming Luh, Jerzy Bodurka, Sahib S Khalsa
Cardiorespiratory fluctuations such as changes in heart rate or respiration volume influence the temporal dynamics of cerebral blood flow (CBF) measurements during arterial spin labeling (ASL) fMRI. This "physiological noise" can confound estimates of resting state network activity, and it may lower the signal-to-noise ratio of ASL during task-related experiments. In this study we examined several methods for minimizing the contributions of both synchronized and non-synchronized physiological noise in ASL measures of CBF, by combining the RETROICOR approach with different linear deconvolution models...
February 15, 2018: Human Brain Mapping
Noora Tuovinen, Klaus Seppi, Francesco de Pasquale, Christoph Müller, Michael Nocker, Michael Schocke, Elke R Gizewski, Christian Kremser, Gregor K Wenning, Werner Poewe, Atbin Djamshidian, Christoph Scherfler, Morinobu Seki
INTRODUCTION: The study aim was to identify longitudinal abnormalities of functional connectivity and its relation with motor disability in early to moderately advanced stages of Parkinson's disease patients. METHODS: 3.0T structural and resting-state functional MRI was performed in healthy subjects (n = 16) and Parkinson's disease patients (n = 16) with mean disease duration of 2.2 ± 1.2 years at baseline with a clinical follow-up of 1.5 ± 0.3 years. Resting-state fMRI analysis included region-to-region connectivity in correlation with UPDRS-III scores and computation of Global Efficiency and Degree Centrality...
February 8, 2018: Parkinsonism & related Disorders
Marion I van den Heuvel, Elise Turk, Janessa H Manning, Jasmine Hect, Edgar Hernandez-Andrade, Sonia S Hassan, Roberto Romero, Martijn P van den Heuvel, Moriah E Thomason
Advances in neuroimaging and network analyses have lead to discovery of highly connected regions, or hubs, in the connectional architecture of the human brain. Whether these hubs emerge in utero, has yet to be examined. The current study addresses this question and aims to determine the location of neural hubs in human fetuses. Fetal resting-state fMRI data (N = 105) was used to construct connectivity matrices for 197 discrete brain regions. We discovered that within the connectional functional organization of the human fetal brain key hubs are emerging...
February 6, 2018: Developmental Cognitive Neuroscience
Ludovica Griffanti, Philipp Stratmann, Michal Rolinski, Nicola Filippini, Enikő Zsoldos, Abda Mahmood, Giovanna Zamboni, Gwenaëlle Douaud, Johannes C Klein, Mika Kivimäki, Archana Singh-Manoux, Michele T Hu, Klaus P Ebmeier, Clare E Mackay
Changes in functional connectivity (FC) measured using resting state fMRI within the basal ganglia network (BGN) have been observed in pathologies with altered neurotransmitter systems and conditions involving motor control and dopaminergic processes. However, less is known about non-disease factors affecting FC in the BGN. The aim of this study was to examine associations of FC within the BGN with dopaminergic processes in healthy older adults. We explored the relationship between FC in the BGN and variables related to demographics, impulsive behavior, self-paced tasks, mood, and motor correlates in 486 participants in the Whitehall-II imaging sub-study using both region-of-interest- and voxel-based approaches...
February 13, 2018: Brain Imaging and Behavior
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