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Resting state fMRI

Jue Wang, Jia-Rong Zhang, Yu-Feng Zang, Tao Wu
Background: Resting-state functional magnetic resonance imaging (RS-fMRI) has frequently been used to investigate local spontaneous brain activity in Parkinson's disease (PD) in a whole-brain, voxel-wise manner. To quantitatively integrate these studies, we conducted a coordinate-based meta-analysis (CB meta-analysis), using the seed-based d mapping (SDM) method, on 15 studies that used amplitude of low frequency fluctuation (ALFF) and 11 studies that used regional homogeneity (ReHo)...
June 18, 2018: GigaScience
Yi Zhang, Gang Ji, Guanya Li, Yang Hu, Li Liu, Qingchao Jin, Qianqian Meng, Jizheng Zhao, Kai Yuan, Jixn Liu, Karen M von Deneen, Antao Chen, Guangbin Cui, Huaning Wang, Qingchuan Zhao, Kaichun Wu, Jie Tian, Peter Manza, Dardo Tomasi, Nora D Volkow, Yongzhan Nie, Gene-Jack Wang
BACKGROUND/OBJECTIVE: Laparoscopic sleeve gastrectomy (LSG) is an effective bariatric surgery to treat obesity, and involves removal of the gastric fundus where ghrelin is mainly produced. Ghrelin stimulates appetite and regulates food intake through its effect on the hypothalamus and hippocampus (HIPP). While ghrelin's role on the hypothalamus has been explored, little is known about its role on HIPP. We tested the hypothesis that LSG-induced reductions in ghrelin levels would be associated with changes in HIPP activity...
June 18, 2018: International Journal of Obesity: Journal of the International Association for the Study of Obesity
Stefan J Teipel, Coraline Metzger, Frederic Brosseron, Katharina Buerger, Katharina Brueggen, Cihan Catak, Dominik Diesing, Laura Dobisch, Klaus Fliebach, Christiana Franke, Michael Heneka, Ingo Kilimann, Barbara Kofler, Felix Menne, Oliver Peters, Alexandra Polcher, Josef Priller, Anja Schneider, Annika Spottke, Eike J Spruth, Manuela Thelen, René J Thyrian, Michael Wagner, Emrah Düzel, Frank Jessen, Martin Dyrba
BACKGROUND: Alterations of intrinsic networks from resting state fMRI (rs-fMRI) have been suggested as functional biomarkers of Alzheimer's disease (AD). OBJECTIVE: To determine the diagnostic accuracy of multicenter rs-fMRI for prodromal and preclinical stages of AD. METHODS: We determined rs-fMRI functional connectivity based on Pearson's correlation coefficients and amplitude of low-frequency fluctuation in people with subjective cognitive decline, people with mild cognitive impairment, and people with AD dementia compared with healthy controls...
June 9, 2018: Journal of Alzheimer's Disease: JAD
Jens Brøndum Frøkjær, Søren Schou Olesen, Carina Graversen, Trine Andresen, Dina Lelic, Asbjørn Mohr Drewes
During the last decades there has been a tremendous development of non-invasive methods for assessment of brain activity following visceral pain. Improved methods for neurophysiological and brain imaging techniques have vastly increased our understanding of the central processing of gastrointestinal sensation and pain in both healthy volunteers as well as in patients suffering from gastrointestinal disorders. The techniques used are functional magnetic resonance imaging (fMRI), positron emission tomography (PET), electroencephalography (EEG)/evoked brain potentials (EPs), magnetoencephalography (MEG), single photon emission computed tomography (SPECT), and the multimodal combinations of these techniques...
December 29, 2017: Scandinavian Journal of Pain
Speranza Sannino, Sebastiano Stramaglia, Lucas Lacasa, Daniele Marinazzo
Visibility algorithms are a family of methods that map time series into graphs, such that the tools of graph theory and network science can be used for the characterization of time series. This approach has proved a convenient tool, and visibility graphs have found applications across several disciplines. Recently, an approach has been proposed to extend this framework to multivariate time series, allowing a novel way to describe collective dynamics. Here we test their application to fMRI time series, following two main motivations, namely that (a) this approach allows vs to simultaneously capture and process relevant aspects of both local and global dynamics in an easy and intuitive way, and (b) this provides a suggestive bridge between time series and network theory that nicely fits the consolidating field of network neuroscience...
October 1, 2017: Network neuroscience
Kristen K Ellard, Aishwarya G Gosai, Emily E Bernstein, Navneet Kaur, Lousia G Sylvia, Joan A Camprodon, Darin D Dougherty, Andrew A Nierenberg, Thilo Deckersbach
BACKGROUND: Anxiety in bipolar disorder (BD) exacerbates emotion dysregulation and reduces treatment response. We recently conducted a pilot trial of transdiagnostic CBT to target anxiety and emotion dysregulation in BD adjunctive to pharmacotherapy. Reductions in depression and anxiety symptoms were significantly predicted by baseline levels of neuroticism and perceived affective control, as well as changes over time in emotion regulation skills. The present study investigates mechanism of treatment response by examining the relationship between baseline emotion regulation-related neural circuitry and trial outcomes...
June 2, 2018: Journal of Affective Disorders
Paula G Williams, Kimberley T Johnson, Brian J Curtis, Jace B King, Jeffrey S Anderson
OBJECTIVE: Individual differences in aesthetic engagement-the propensity to be moved by art, nature, and beauty-are associated with positive health outcomes, as well as stress resilience. The purpose of the current study was to identify potential neural substrate mechanisms underlying individual differences in aesthetic engagement and reported proneness to aesthetic chill. METHODS: Data from the Human Connectome Project (HCP) 1200 Subjects Release were utilized...
June 13, 2018: NeuroImage
Eva Mennigen, Robyn L Miller, Barnaly Rashid, Susanna L Fryer, Rachel L Loewy, Barbara K Stuart, Daniel H Mathalon, Vince D Calhoun
New techniques to investigate functional network connectivity in resting state functional magnetic resonance imaging data have recently emerged. One novel approach, called meta-state analysis, goes beyond the mere cross-correlation of time courses of distinct brain areas and explores temporal dynamism in more detail, allowing for connectivity states to overlap in time and capturing global dynamic behavior. Previous studies have shown that patients with chronic schizophrenia exhibit reduced neural dynamism compared to healthy controls, but it is not known whether these alterations extend to earlier phases of the illness...
June 12, 2018: Schizophrenia Research
Anna R Egbert, Bharat Biswal, Keerthana Karunakaran, Agnieszka Pluta, Tomasz Wolak, Stephen Rao, Robert Bornstein, Bogna Szymańska, Andrzej Horban, Ewa Firląg-Burkacka, Marta Sobańska, Natalia Gawron, Przemysław Bieńkowski, Halina Sienkiewicz-Jarosz, Anna Ścińska-Bieńkowska, Emilia Łojek
The objective of the study was to examine additive and synergistic effects of age and HIV infection on resting state (RS) intra- and inter-network functional connectivity (FC) of the brain. We also aimed to assess relationships with neurocognition and determine clinical-, treatment-, and health-related factors moderating intrinsic brain activity in aging HIV-positive (HIV+) individuals. The current report presents data on 54 HIV+ individuals (age M = 41, SD = 12 years) stabilized on cART and 54 socio-demographically matched healthy (HIV-) comparators (age M = 43, SD = 12 years), with cohort education mean of 16 years (SD = 12)...
June 12, 2018: Progress in Neuro-psychopharmacology & Biological Psychiatry
Yong Pang, Huimei Liu, Gaoxiong Duan, Hai Liao, Yanfei Liu, Zhuo Feng, Jien Tao, Zhuocheng Zou, Guoxiang Du, Rongchao Wan, Peng Liu, Demao Deng
Background : Premenstrual syndrome (PMS) is a menstrual cycle-related disorder which causes physical and mood changes prior to menstruation and is associated with the functional dysregulation of the brain. Acupuncture is an effective alternative therapy for treating PMS, and sanyinjiao (SP6) is one of the most common acupoints used for improving the symptoms of PMS. However, the mechanism behind acupuncture's efficacy for relieving PMS symptoms remains unclear. The aim of this study was to identify the brain response patterns induced by acupuncture at acupoint SP6 in patients with PMS...
2018: Frontiers in Human Neuroscience
Sarah J Heany, Richard A I Bethlehem, Jack van Honk, Peter A Bos, Dan J Stein, David Terburg
Recent evidence suggests that the steroid hormone testosterone can decrease the functional coupling between orbitofrontal cortex (OFC) and amygdala. Theoretically this decoupling has been linked to a testosterone-driven increase of goal-directed behaviour in case of threat, but this has never been studied directly. Therefore, we placed twenty-two women in dynamically changing situations of escapable and inescapable threat after a within-subject placebo controlled testosterone administration. Using functional magnetic resonance imaging (fMRI) we provide evidence that testosterone activates the left lateral OFC (LOFC) in preparation of active goal-directed escape and decouples this OFC area from a subcortical threat system including the central-medial amygdala, hypothalamus and periaqueductal gray...
May 30, 2018: Psychoneuroendocrinology
Stefan Haufe, Paul DeGuzman, Simon Henin, Michael Arcaro, Christopher J Honey, Uri Hasson, Lucas C Parra
Human brain mapping relies heavily on fMRI, ECoG and EEG, which capture different physiological signals. Relationships between these signals have been established in the context of specific tasks or during resting state, often using spatially confined concurrent recordings in animals. But it is not certain whether these correlations generalize to other contexts relevant for human cognitive neuroscience. Here, we address the case of complex naturalistic stimuli and ask two basic questions. First, how reliable are the responses evoked by a naturalistic audio-visual stimulus in each of these imaging methods, and second, how similar are stimulus-related responses across methods? To this end, we investigated a wide range of brain regions and frequency bands...
June 11, 2018: NeuroImage
Chuang Li, Han Yuan, Guofa Shou, Yoon-Hee Cha, Sridhar Sunderam, Walter Besio, Lei Ding
Resting state networks (RSNs) have been found in human brains during awake resting states. RSNs are composed of spatially distributed regions in which spontaneous activity fluctuations are temporally and dynamically correlated. A new computational framework for reconstructing RSNs with human EEG data has been developed in the present study. The proposed framework utilizes independent component analysis (ICA) on short-time Fourier transformed inverse source maps imaged from EEG data and statistical correlation analysis to generate cortical tomography of electrophysiological RSNs...
2018: Frontiers in Neuroscience
Mihai Avram, Felix Brandl, Josef Bäuml, Christian Sorg
Schizophrenia is characterized by hypoconnectivity or decreased intrinsic functional connectivity (iFC) between prefrontal-limbic cortices and thalamic nuclei, as well as hyperconnectivity or increased iFC between primary-sensorimotor cortices and thalamic nuclei. However, cortico-thalamic iFC overlaps with larger, structurally defined cortico-striato-pallido-thalamo-cortical (CSPTC) circuits. If such an overlap is relevant for intrinsic hypo-/hyperconnectivity, it suggests (i) that patterns of cortico-subcortical hypo-/hyperconnectivity extend consistently from thalamus to basal ganglia nuclei; and (ii) such consistent hypo-/hyperconnectivity might link distinctively but consonant with different symptom dimensions, namely cognitive and psychotic impairments...
April 12, 2018: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
Shengyu Zhang, Qiang Hu, Tao Tang, Chao Liu, Chengchong Li, Yin-Yin Zang, Wei-Xiong Cai
BACKGROUND Using regional homogeneity (ReHo) blood oxygen level-dependent functional MR (BOLD-fMRI), we investigated the structural and functional alterations of brain regions among patients with methamphetamine-associated psychosis (MAP). MATERIAL AND METHODS This retrospective study included 17 MAP patients, 16 schizophrenia (SCZ) patients, and 18 healthy controls. Informed consent was obtained from all patients before the clinical assessment, the severity of clinical symptoms was evaluated prior to the fMRI scanning, and then images were acquired and preprocessed after each participant received 6-min fRMI scanning...
June 13, 2018: Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
Sheeba Arnold Anteraper, Xavier Guell, Anila D'Mello, Neha Joshi, Susan Whitfield-Gabrieli, Gagan Joshi
OBJECTIVES: To examine the resting-state functional-connectivity (RsFc) in young adults with high-functioning autism spectrum disorder (HF-ASD) using state-of-the-art fMRI data acquisition and analysis techniques. METHODS: Simultaneous multi-slice, high temporal resolution fMRI acquisition; unbiased whole-brain connectome-wide multivariate pattern analysis (MVPA) techniques for assessing RsFc; and post-hoc whole-brain seed-to-voxel analyses using MVPA results as seeds...
June 13, 2018: Brain Connectivity
Heide Klumpp, Bobak Hosseini, K Luan Phan
Sufficient sleep plays an important role in neurocognitive function, yet, problematic sleep is ubiquitous in the general population. It is also frequently predictive of, and concurrent with, internalizing psychopathologies (IPs) such as anxiety and depression suggesting sleep quality is dimensional and transdiagnostic. Along with problematic sleep, IPs are characterized by negative affectivity, therefore, prominent neurobiological models of internalizing conditions involve the amygdala, a region central to emotion...
2018: Frontiers in Psychiatry
Raffaele Nuzzi, Laura Dallorto, Teresa Rolle
Background: Glaucoma is a leading cause of irreversible blindness worldwide. The increasing interest in the involvement of the cortical visual pathway in glaucomatous patients is due to the implications in recent therapies, such as neuroprotection and neuroregeneration. Objective: In this review, we outline the current understanding of brain structural, functional, and metabolic changes detected with the modern techniques of neuroimaging in glaucomatous subjects. Methods: We screened MEDLINE, EMBASE, CINAHL, CENTRAL, LILACS, Trip Database, and NICE for original contributions published until 31 October 2017...
2018: Frontiers in Neuroscience
Rosaleena Mohanty, Anita M Sinha, Alexander B Remsik, Keith C Dodd, Brittany M Young, Tyler Jacobson, Matthew McMillan, Jaclyn Thoma, Hemali Advani, Veena A Nair, Theresa J Kang, Kristin Caldera, Dorothy F Edwards, Justin C Williams, Vivek Prabhakaran
Interventional therapy using brain-computer interface (BCI) technology has shown promise in facilitating motor recovery in stroke survivors; however, the impact of this form of intervention on functional networks outside of the motor network specifically is not well-understood. Here, we investigated resting-state functional connectivity (rs-FC) in stroke participants undergoing BCI therapy across stages, namely pre- and post-intervention, to identify discriminative functional changes using a machine learning classifier with the goal of categorizing participants into one of the two therapy stages...
2018: Frontiers in Neuroscience
Danny J J Wang, Kay Jann, Chang Fan, Yang Qiao, Yu-Feng Zang, Hanbing Lu, Yihong Yang
Recently, non-linear statistical measures such as multi-scale entropy (MSE) have been introduced as indices of the complexity of electrophysiology and fMRI time-series across multiple time scales. In this work, we investigated the neurophysiological underpinnings of complexity (MSE) of electrophysiology and fMRI signals and their relations to functional connectivity (FC). MSE and FC analyses were performed on simulated data using neural mass model based brain network model with the Brain Dynamics Toolbox, on animal models with concurrent recording of fMRI and electrophysiology in conjunction with pharmacological manipulations, and on resting-state fMRI data from the Human Connectome Project...
2018: Frontiers in Neuroscience
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