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fmri resting

Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada
Cortical activity has distinct features across scales, from the spiking statistics of individual cells to global resting-state networks. We here describe the first full-density multi-area spiking network model of cortex, using macaque visual cortex as a test system. The model represents each area by a microcircuit with area-specific architecture and features layer- and population-resolved connectivity between areas. Simulations reveal a structured asynchronous irregular ground state. In a metastable regime, the network reproduces spiking statistics from electrophysiological recordings and cortico-cortical interaction patterns in fMRI functional connectivity under resting-state conditions...
October 2018: PLoS Computational Biology
Haosu Zhang, Nico Sollmann, Gabriel Castrillón, Katarzyna Kurcyus, Bernhard Meyer, Claus Zimmer, Sandro M Krieg
PURPOSE: Although transcranial magnetic stimulation (TMS) is routinely applied in neuroscience and clinical settings, not much is known about its effects on brain networks. Therefore, this pilot study was set up using repetitive navigated transcranial magnetic stimulation (rTMS) combined with resting-state functional MRI (rs-fMRI) to explore frequency-dependent stimulation effects on an intranetwork and internetwork level. METHODS: Six healthy subjects (median age: 23...
October 17, 2018: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
Lijuan Cheng, Daniela Cortese, Martin M Monti, Fuyan Wang, Francesco Riganello, Francesco Arcuri, Haibo Di, Caroline Schnakers
Objectives: Considering sensory stimulation programs (SSP) as a treatment for disorders of consciousness is still debated today. Previous studies investigating its efficacy were affected by various biases among which small sample size and spontaneous recovery. In this study, treatment-related changes were assessed using time-series design in patients with disorders of consciousness (i.e., vegetative state-VS and minimally conscious state-MCS). Methods: A withdrawal design (ABAB) was used. During B phases, patients underwent a SSP (3 days a week, including auditory, visual, tactile, olfactory, and gustatory stimulation)...
2018: Frontiers in Neurology
Junling Li, Ran Yang, Kai Xia, Tian Wang, Binbin Nie, Kuo Gao, Jianxin Chen, Huihui Zhao, Yubo Li, Wei Wang
BACKGROUND: The etiology of depression and its effective therapeutic treatment have not been clearly identified. Using behavioral phenotyping and resting-state functional magnetic resonance imaging (r-fMRI), we investigated the behavioral impact and cerebral alterations of chronic unpredictable mild stress (CUMS) in the rat. We also evaluated the efficacy of telmisartan therapy in this rodent model of depression. METHODS: Thirty-two rats were divided into 4 groups: a control group(C group), a stress group(S group), a stress + telmisartan(0...
October 17, 2018: BMC Psychiatry
Susan Y Bookheimer, David H Salat, Melissa Terpstra, Beau M Ances, Deanna M Barch, Randy L Buckner, Gregory C Burgess, Sandra W Curtiss, Mirella Diaz-Santos, Jennifer Stine Elam, Bruce Fischl, Douglas N Greve, Hannah A Hagy, Michael P Harms, Olivia M Hatch, Trey Hedden, Cynthia Hodge, Kevin C Japardi, Taylor P Kuhn, Timothy K Ly, Stephen M Smith, Leah H Somerville, Kâmil Uğurbil, Andre van der Kouwe, David Van Essen, Roger P Woods, Essa Yacoub
The original Human Connectome Project yielded a rich data set on structural and functional connectivity in a large sample of healthy young adults using improved methods of data acquisition, analysis, and sharing. More recent efforts are extending this approach to include infants, children, older adults, and brain disorders. This paper introduces and describes the Human Connectome Project in Aging (HCP-A), which is currently recruiting 1200 + healthy adults aged 36 to 100+, with a subset of 600 + participants returning for longitudinal assessment...
October 14, 2018: NeuroImage
Ping Jiang, Virve Vuontela, Maksym Tokariev, Hai Lin, Eeva T Aronen, YuanYe Ma, Synnöve Carlson
Earlier studies on adults have shown that functional connectivity (FC) of brain networks can vary depending on the brain state and cognitive challenge. Network connectivity has been investigated quite extensively in children in resting state, much less during tasks and is largely unexplored between these brain states. Here we used functional magnetic resonance imaging and independent component analysis to investigate the functional architecture of large-scale brain networks in 16 children (aged 7-11 years, 11 males) and 16 young adults (aged 22-29 years, 10 males) during resting state and visual working memory tasks...
2018: PloS One
Gloria Castellazzi, Stefania D Bruno, Ahmed T Toosy, Letizia Casiraghi, Fulvia Palesi, Giovanni Savini, Egidio D'Angelo, Claudia Angela Michela Gandini Wheeler-Kingshott
While task-dependent responses of specific brain areas during cognitive tasks are well established, much less is known about the changes occurring in resting state networks (RSNs) in relation to continuous cognitive processing . In particular, the functional involvement of cerebro-cerebellar loops connecting the posterior cerebellum to associative cortices, remains unclear. In this study, 22 healthy volunteers underwent a multi-session functional magnetic resonance imaging (fMRI) protocol composed of four consecutive 8-min resting state fMRI (rs-fMRI) scans...
2018: Frontiers in Cellular Neuroscience
Yan Niu, Bin Wang, Mengni Zhou, Jiayue Xue, Habib Shapour, Rui Cao, Xiaohong Cui, Jinglong Wu, Jie Xiang
Alzheimer's disease (AD) is characterized by progressive deterioration of brain function among elderly people. Studies revealed aberrant correlations in spontaneous blood oxygen level-dependent (BOLD) signals in resting-state functional magnetic resonance imaging (rs-fMRI) over a wide range of temporal scales. However, the study of the temporal dynamics of BOLD signals in subjects with AD and mild cognitive impairment (MCI) remains largely unexplored. Multiscale entropy (MSE) analysis is a method for estimating the complexity of finite time series over multiple time scales...
2018: Frontiers in Neuroscience
Kristina M Deligiannidis, Christina L Fales, Aimee R Kroll-Desrosiers, Scott A Shaffer, Vanessa Villamarin, Yanglan Tan, Janet E Hall, Blaise B Frederick, Elif M Sikoglu, Richard A Edden, Anthony J Rothschild, Constance M Moore
Postpartum depression (PPD) is associated with abnormalities in resting-state functional connectivity (RSFC) but the underlying neurochemistry is unclear. We hypothesized that peripartum GABAergic neuroactive steroids (NAS) are related to cortical GABA concentrations and RSFC in PPD as compared to healthy comparison women (HCW). To test this, we measured RSFC with fMRI and GABA+/Creatine (Cr) concentrations with proton magnetic resonance spectroscopy (1 H MRS) in the pregenual anterior cingulate (pgACC) and occipital cortices (OCC) and quantified peripartum plasma NAS...
October 17, 2018: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
Haitang Qiu, Xinke Li, Qinghua Luo, Yongming Li, Xichuan Zhou, Hailin Cao, Yuanhong Zhong, Mingui Sun
BACKGROUND: Electroconvulsive therapy (ECT) is an important treatment option for patients with major depressive disorder (MDD). However, the mechanisms of ECT in MDD are still unclear. METHODS: Twenty-four patients with severe MDD and 14 healthy controls were enrolled in this study. Eight ECT sessions were conducted for MDD patients using brief-pulse square-wave signal at bitemporal locations. To investigate the regional cerebral blood flow in MDD patients before and after ECT treatments by resting-state functional magnetic resonance imaging (rs-fMRI), the patients were scanned twice (before the first ECT and after the eighth ECT) for data acquisition...
October 9, 2018: Journal of Affective Disorders
Claudia Bachmann, Heidi I L Jacobs, PierGianLuca Porta Mana, Kim Dillen, Nils Richter, Boris von Reutern, Julian Dronse, Oezguer A Onur, Karl-Josef Langen, Gereon R Fink, Juraj Kukolja, Abigail Morrison
The diagnosis of Alzheimer's disease (AD), especially in the early stage, is still not very reliable and the development of new diagnosis tools is desirable. A diagnosis based on functional magnetic resonance imaging (fMRI) is a suitable candidate, since fMRI is non-invasive, readily available, and indirectly measures synaptic dysfunction, which can be observed even at the earliest stages of AD. However, the results of previous attempts to analyze graph properties of resting state fMRI data are contradictory, presumably caused by methodological differences in graph construction...
2018: Frontiers in Neuroscience
Jun Li, Xuehua Huang, Kangning Sang, Mark Bodner, Ke Ma, Xiao-Wei Dong
Background: Although the interaction between pain and cognition has been recognized for decades, the neural substrates underlying their association remain unclear. The prefrontal cortex (PFC) is known as a critical brain area for higher cognitive functions, as well as for pain perception and modulation. The objective of the present study was to explore the role of the PFC in the interaction between chronic pain and cognitive functions by examining the relationship between spontaneous activity in the frontal lobe and pain intensity reported by postherpetic neuralgia (PHN) patients...
2018: Journal of Pain Research
Yanbing Hou, Jing Yang, Chunyan Luo, Ruwei Ou, Yutong Zou, Wei Song, Qiyong Gong, Huifang Shang
BACKGROUND: Parkinson's disease (PD) could be classified into akinetic-rigidity (PDAR ), tremor-dominant (PDTD ) and mixed subtypes. PDAR patients are more prone to develop cognitive deficits. The default mode network (DMN), fronto-parietal network (FPN) and dorsal attention network (DAN) play important roles in cognitive processing. Our aim was to evaluate changes in connectivity patterns of the DMN, and its interrelation with the FPN and DAN in cognitively unimpaired drug-naïve PDAR patients...
October 3, 2018: Journal of the Neurological Sciences
Scott A Langenecker, Lisanne M Jenkins, Jonathan P Stange, Yi-Shin Chang, Sophie R DelDonno, Katie L Bessette, Alessandra M Passarotti, Runa Bhaumik, Olusola Ajilore, Rachel H Jacobs
BACKGROUND: Major Depressive Disorder (MDD) is a prevalent, disruptive illness. A majority of those with MDD are at high risk for recurrence and increased risk for morbidity and mortality. This study examined whether multimodal baseline (and retest) Cognitive Control performance and neuroimaging markers (task activation and neural connectivity between key brain nodes) could differentiate between those with and without future recurrence of a major depressive (MD) episode within one year...
October 4, 2018: NeuroImage: Clinical
Hongming Li, Yong Fan
Dynamic functional connectivity analysis provides valuable information for understanding brain functional activity underlying different cognitive processes. Besides sliding window based approaches, a variety of methods have been developed to automatically split the entire functional MRI scan into segments by detecting change points of functional signals to facilitate better characterization of temporally dynamic functional connectivity patterns. However, these methods are based on certain assumptions for the functional signals, such as Gaussian distribution, which are not necessarily suitable for the fMRI data...
September 2018: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
Zhenxiang Zang, Lena S Geiger, Urs Braun, Hengyi Cao, Maria Zangl, Axel Schäfer, Carolin Moessnang, Matthias Ruf, Janine Reis, Janina I Schweiger, Luanna Dixson, Alexander Moscicki, Emanuel Schwarz, Andreas Meyer-Lindenberg, Heike Tost
Graph theoretical functional magnetic resonance imaging (fMRI) studies have demonstrated that brain networks reorganize significantly during motor skill acquisition, yet the associations between motor learning ability, brain network features, and the underlying biological mechanisms remain unclear. In the current study, we applied a visually guided sequential pinch force learning task and graph theoretical analyses to investigate the associations between short-term motor learning ability and resting-state brain network metrics in 60 healthy subjects...
2018: Network neuroscience
Lin Zhu, Hao Shu, Duan Liu, Qihao Guo, Zan Wang, Zhijun Zhang
The presence of both apolipoprotein E (APOE) ε4 allele and amnestic mild cognitive impairment (aMCI) are considered to be risk factors for Alzheimer's disease (AD). Numerous neuroimaging studies have suggested that the modulation of APOE ε4 affects intrinsic functional brain networks, both in healthy populations and in AD patients. However, it remains largely unclear whether and how ε4 allele modulates the brain's functional network architecture in subjects with aMCI. Using resting-state functional magnetic resonance imaging (fMRI) and graph-theory approaches-functional connectivity strength (FCS), we investigate the topological organization of the whole-brain functional network in 28 aMCI ε4 carriers and 38 aMCI ε3ε3 carriers...
2018: Frontiers in Aging Neuroscience
Carlo Cavaliere, Mariachiara Longarzo, Mario Orsini, Marco Aiello, Dario Grossi
The aim of the study is to investigate morphofunctional circuits underlying musical hallucinations (MH) in a 72-years old female that underwent a simultaneous 18fluoredeoxyglucose positron emission tomography (PET) and advanced magnetic resonance (MR) exam. This represents a particular case of MH occurred in an healthy subject, not displaying neurological or psychopathological disorders, and studied simultaneously with a multimodal approach. For the resting-state fMRI analysis a seed to seed approach was chosen...
2018: Frontiers in Human Neuroscience
Da Chang, Jian Zhang, Wei Peng, Zhuowen Shen, Xin Gao, Youhong Du, Qiu Ge, Donghui Song, Yuanqi Shang, Ze Wang
Chronic smoking impairs brain functions in the prefrontal cortex and the projecting meso-cortical limbic system. The purpose of this pilot study is to examine whether modulating the frontal brain activity using high-frequency repetitive transcranial magnetic stimulation (rTMS) can improve smoking cessation and to explore the changing pattern of the brain activity after treatment. Fourteen treatment-seeking smokers were offered a program involving 10 days of rTMS treatment with a follow-up for another 25 days...
2018: Frontiers in Human Neuroscience
Qiang Wei, Tongjian Bai, Yang Chen, Gongjun Ji, Xiaopeng Hu, Wen Xie, Zulun Xiong, Daomin Zhu, Lin Wei, Panpan Hu, Yongqiang Yu, Kai Wang, Yanghua Tian
Electroconvulsive therapy (ECT) is an effective treatment for depression, but the mechanism of ECT for depression is still unclear. Recently, neuroimaging studies have reported that the prefrontal cortex, hippocampus, angular gyrus, insular and other brain regions are involved in the mechanism of ECT for depression, and these regions are highly overlapped with the location of brain hubs. Here, we try to explore the effects of ECT on the functional connectivity of brain hubs in depression patients. In current study, depression patients were assessed at three time points: prior to ECT, at the completion of ECT and about 1 month after the completion of ECT...
2018: Frontiers in Neuroscience
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