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resting—state fmri

M D Wheelock, J L Hect, E Hernandez-Andrade, S S Hassan, R Romero, A T Eggebrecht, M E Thomason
Sex-related differences in brain and behavior are apparent across the life course, but the exact set of processes that guide their emergence in utero remains a topic of vigorous scientific inquiry. Here, we evaluate sex and gestational age (GA)-related change in functional connectivity (FC) within and between brain wide networks. Using resting-state functional magnetic resonance imaging we examined FC in 118 human fetuses between 25.9 and 39.6 weeks GA (70 male; 48 female). Infomap was applied to the functional connectome to identify discrete prenatal brain networks in utero...
March 5, 2019: Developmental Cognitive Neuroscience
Martin J Lan, Mina M Rizk, Spiro P Pantazatos, Harry Rubin-Falcone, Jeffrey M Miller, M Elizabeth Sublette, Maria A Oquendo, John G Keilp, J John Mann
BACKGROUND: Identifying brain activity patterns that are associated with suicidal ideation (SI) may help to elucidate its pathogenesis and etiology. Suicide poses a significant public health problem, and SI is a risk factor for suicidal behavior. METHODS: Forty-one unmedicated adult participants in a major depressive episode (MDE), 26 with SI on the Beck Scale for Suicidal Ideation and 15 without SI, underwent resting-state functional magnetic resonance imaging scanning...
March 21, 2019: Depression and Anxiety
Nicolai Franzmeier, Jinyi Ren, Alexander Damm, Gemma Monté-Rubio, Mercè Boada, Agustín Ruiz, Alfredo Ramirez, Frank Jessen, Emrah Düzel, Octavio Rodríguez Gómez, Tammie Benzinger, Alison Goate, Celeste M Karch, Anne M Fagan, Eric McDade, Katharina Buerger, Johannes Levin, Marco Duering, Martin Dichgans, Marc Suárez-Calvet, Christian Haass, Brian A Gordon, Yen Ying Lim, Colin L Masters, Daniel Janowitz, Cihan Catak, Steffen Wolfsgruber, Michael Wagner, Esther Milz, Sonia Moreno-Grau, Stefan Teipel, Michel J Grothe, Ingo Kilimann, Martin Rossor, Nick Fox, Christoph Laske, Jasmeer Chhatwal, Peter Falkai, Robert Perneczky, Jae-Hong Lee, Annika Spottke, Henning Boecker, Frederic Brosseron, Klaus Fliessbach, Michael T Heneka, Peter Nestor, Oliver Peters, Manuel Fuentes, Felix Menne, Josef Priller, Eike J Spruth, Christiana Franke, Anja Schneider, Christine Westerteicher, Oliver Speck, Jens Wiltfang, Claudia Bartels, Miguel Ángel Araque Caballero, Coraline Metzger, Daniel Bittner, Stephen Salloway, Adrian Danek, Jason Hassenstab, Igor Yakushev, Peter R Schofield, John C Morris, Randall J Bateman, Michael Ewers
In Alzheimer's disease (AD), a single-nucleotide polymorphism in the gene encoding brain-derived neurotrophic factor (BDNFVal66Met ) is associated with worse impact of primary AD pathology (beta-amyloid, Aβ) on neurodegeneration and cognitive decline, rendering BDNFVal66Met an important modulating factor of cognitive impairment in AD. However, the effect of BDNFVal66Met on functional networks that may underlie cognitive impairment in AD is poorly understood. Using a cross-validation approach, we first explored in subjects with autosomal dominant AD (ADAD) from the Dominantly Inherited Alzheimer Network (DIAN) the effect of BDNFVal66Met on resting-state fMRI assessed functional networks...
March 21, 2019: Molecular Psychiatry
T Marins, E Rodrigues, T Bortolini, Bruno Melo, J Moll, F Tovar-Moll
Recent findings have been challenging current understanding about how fast the human brain change its structural and functional connections in response to training. One powerful way to deepen the inner workings of human brain plasticity is using neurofeedback (NFB) by fMRI, a technique that allows self-induced brain plasticity by means of modulating brain activity in real time. In the present randomized, double-blind and sham-controlled study, we use NFB to train healthy individuals to reinforce brain patterns related to motor execution while performing a motor imagery task, with no overt movement...
March 18, 2019: NeuroImage
Xiao Li, Huaqing Meng, Yixiao Fu, Lian Du, Haitang Qiu, Tian Qiu, Qibin Chen, Zhiwei Zhang, Qinghua Luo
To explore the alteration of global functional connectivity density (gFCD) in depressive patients after modified electroconvulsive therapy (MECT) and analyze the relationship between gFCD and clinical outcome. Thirty-seven subjects were evaluated based on the diagnostic criteria of the International Classification of Diseases-10 (ICD-10), consisting of a depressive group (24 patients after follow-ups) and a healthy control group with 13 normal individuals. All participants received Hamilton Depression Scale (HAMD) scores and resting-state functional magnetic resonance imaging scans...
2019: Frontiers in Psychiatry
Katharina M Kubera, Mahmoud Rashidi, Mike M Schmitgen, Anja Barth, Dusan Hirjak, Fabio Sambataro, Vince D Calhoun, Robert C Wolf
There is accumulating neuroimaging evidence for both structural and functional abnormalities in schizophrenia patients with persistent auditory verbal hallucinations (AVH). So far, the direct interrelationships between altered structural and functional changes underlying AVH are unknown. Recently, it has become possible to reveal hidden patterns of neural dysfunction not sufficiently captured by separate analysis of these two modalities. A data-driven fusion method called parallel independent component analysis (p-ICA) is able to identify maximally independent components of each imaging modality as well as the link between them...
March 16, 2019: Progress in Neuro-psychopharmacology & Biological Psychiatry
Amy T Peters, Lisanne M Jenkins, Jonathan P Stange, Katie L Bessette, Kristy A Skerrett, Leah R Kling, Robert C Welsh, Mohammed R Milad, K Luan Phan, Scott A Langenecker
BACKGROUND: We have previously demonstrated that pre-scan salivary cortisol is associated with attentuated frontal-subcortical brain activation during emotion processesing and semantic list-learning paradigms in depressed subjects. Additionally, altered functional connectivity is observed after remission of acute depression symptoms (rMDD). It is unknown whether cortisol also predicts altered functional connectivity during remission. METHODS: Participants were 47 healthy controls (HC) and 73 rMDD, 18-30 years old who provided salivary cortisol samples before and after undergoing resting-state fMRI...
March 12, 2019: Psychoneuroendocrinology
Maria A Rocca, Milagros Hidalgo de La Cruz, Paola Valsasina, Sarlota Mesaros, Vanja Martinovic, Jovana Ivanovic, Jelena Drulovic, Massimo Filippi
BACKGROUND: The features of functional network connectivity reorganization at the earliest stages of MS have not been investigated yet. OBJECTIVE: To combine static and dynamic analysis of resting state (RS) functional connectivity (FC) to identify mechanisms of clinical dysfunction and recovery occurring in clinically isolated syndrome (CIS) patients. METHODS: RS functional magnetic resonance imaging (fMRI) and clinical data were prospectively acquired from 50 CIS patients and 13 healthy controls (HC) at baseline, month 12 and month 24...
March 19, 2019: Multiple Sclerosis: Clinical and Laboratory Research
Kai Wang, Hanying Yan, Ling Zou
Simultaneous recording of electroencephalogram (EEG)-functional magnetic resonance imaging (fMRI) plays an important role in scientific research and clinical field due to its high spatial and temporal resolution. However, the fusion results are seriously influenced by ballistocardiogram (BCG) artifacts under MRI environment. In this paper, we improve the off-line constrained independent components analysis using real-time technique (rt-cICA), which is applied to the simulated and real resting-state EEG data...
February 25, 2019: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
Zhen Fan, Xiao Chen, Zeng-Xin Qi, Le Li, Bin Lu, Cong-Lin Jiang, Ren-Qing Zhu, Chao-Gan Yan, Liang Chen
Resting-state functional MRI (R-fMRI) research has recently entered the era of "big data", however, few studies have provided a rigorous validation of the physiological underpinnings of R-fMRI indices. Although studies have reported that various neuropsychiatric disorders exhibit abnormalities in R-fMRI measures, these "biomarkers" have not been validated in differentiating structural lesions (brain tumors) as a concept proof. We enrolled 60 patients with intracranial tumors located in the unilateral cranialcavity and 60 matched normal controls to test whether R-fMRI indices can differentiate tumors, which represents a prerequisite for adapting such indices as biomarkers for neuropsychiatric disorders...
March 1, 2019: NeuroImage: Clinical
Amanda K Easson, Anthony R McIntosh
Variability of neural signaling is an important index of healthy brain functioning, as is signal complexity, which relates to information processing capacity. Alterations in variability and complexity may underlie certain brain dysfunctions. Here, resting-state fMRI was used to examine variability and complexity in children and adolescents with and without autism spectrum disorder (ASD). Variability was measured using the mean square successive difference (MSSD) of the time series, and complexity was assessed using sample entropy...
March 5, 2019: Developmental Cognitive Neuroscience
Bronte N Ficek, Zeyi Wang, Yi Zhao, Kimberly T Webster, John E Desmond, Argye E Hillis, Constantine Frangakis, Andreia Vasconcellos Faria, Brian Caffo, Kyrana Tsapkini
Transcranial direct current stimulation (tDCS) is an innovative technique recently shown to improve language outcomes even in neurodegenerative conditions such as primary progressive aphasia (PPA), but the underlying brain mechanisms are not known. The present study tested whether the additional language gains with repetitive tDCS (over sham) in PPA are caused by changes in functional connectivity between the stimulated area (the left inferior frontal gyrus (IFG)) and the rest of the language network. We scanned 24 PPA participants (11 female) before and after language intervention (written naming/spelling) with a resting-state fMRI sequence and compared changes before and after three weeks of tDCS or sham coupled with language therapy...
March 13, 2019: NeuroImage: Clinical
Chun-Hong Liu, Li-Rong Tang, Yue Gao, Guang-Zhong Zhang, Bin Li, Meng Li, Marie Woelfer, Walter Martin, Lihong Wang
BACKGROUND: Patients with major depressive disorder (MDD) can frequently develop new depressive episodes after remission. However, the neural mechanisms underlying the increased risk for depressive relapse remain unclear. Herein, we aimed to explore whether the specific changes to regional and inter-regional spontaneous brain activities within DMN are associated with the course of episodes in pooled MDD patients. METHODS: Resting-state functional magnetic resonance imaging was performed on patients with single-episode MDD (SEMDD, n = 30) and multiple-episode MDD (MEMDD, n = 54), and 71 age-, gender-, and educational level-matched healthy controls (HCs)...
March 5, 2019: Journal of Affective Disorders
Yun Feng, Dilihumaer Tuluhong, Zhao Shi, Li Juan Zheng, Tao Chen, Guang Ming Lu, Shaohua Wang, Long Jiang Zhang
The hippocampus plays a key role in cognitive function and emotion regulation due to its wide connection with the whole brain. This study examined the acute effect of chemotherapy on hippocampal and subfield functional connectivity and neuropsychological status in breast cancer patients (BC). This IRB approved study included 29 BC and 25 age matched healthy controls (HCs) who underwent resting state functional magnetic resonance imaging (Rs-fMRI), neuropsychological tests and blood examinations at baseline and one week after completing chemotherapy or in the same time interval...
March 15, 2019: Brain Imaging and Behavior
Arpan Dutta, Shane McKie, Darragh Downey, Emma Thomas, Gabriella Juhasz, Danilo Arnone, Rebecca Elliott, Steve Williams, J F William Deakin, Ian M Anderson
The relationship between altered default mode network (DMN) connectivity and abnormal serotonin function in major depressive disorder (MDD) has not been investigated. Using intravenous citalopram and resting-state fMRI, we investigated DMN intra-network connectivity and serotonin function in 77 healthy controls and patients with MDD. There were no significant main effects of MDD or citalopram on DMN intra-network connectivity; however, significant interactions indicated that group differences under saline were modified by citalopram...
March 15, 2019: Translational Psychiatry
Jianan Cheng, Hua Yang, Jiangtao Zhang
PURPOSE: Donepezil is known to increase cholinergic synaptic transmission in Alzheimer disease (AD), although how it affects cortical brain activity and how it consequently affects brain functions need further clarification. To investigate the therapeutic mechanism of donepezil underlying its effect on brain function, regional homogeneity (ReHo) technology was used in this study. PATIENTS AND METHODS: This study included 11 mild-to-moderate AD patients who completed 24 weeks of donepezil treatment and 11 matched healthy controls...
March 2019: Clinical Neuropharmacology
Dazhi Yin, Zhao Zhang, Zhiwei Wang, Kristina Zeljic, Qian Lv, Danchao Cai, Yingwei Wang, Zheng Wang
Emerging neuroimaging studies emphasize the dynamic organization of spontaneous brain activity in both human and non-human primates, even under anesthesia. In a recent study, we were able to characterize the heterogeneous architecture of intrinsic functional flexibility in the awake, resting human brain using time-resolved analysis and a probabilistic model. However, it is unknown whether this organizational principle is preserved in the anesthetized monkey brain, and how anesthesia affects dynamic and static measurements of spontaneous brain activity...
2019: Frontiers in Neuroscience
Xuefei Cao, Björn Sandstede, Xi Luo
Functional MRI (fMRI) is a popular approach to investigate brain connections and activations when human subjects perform tasks. Because fMRI measures the indirect and convoluted signals of brain activities at a lower temporal resolution, complex differential equation modeling methods (e.g., Dynamic Causal Modeling) are usually employed to infer the neuronal processes and to fit the resulting fMRI signals. However, this modeling strategy is computationally expensive and remains to be mostly a confirmatory or hypothesis-driven approach...
2019: Frontiers in Neuroscience
Chemin Lin, Shwu-Hua Lee, Chih-Mao Huang, Guan-Yen Chen, Pei-Shan Ho, Ho-Ling Liu, Yao-Liang Chen, Tatia Mei-Chun Lee, Shun-Chi Wu
BACKGROUND: Entropy analysis is a computational method used to quantify the complexity in a system, and loss of brain complexity is hypothesized to be related to mental disorders. Here, we applied entropy analysis to the resting-state functional magnetic resonance imaging (rs-fMRI) signal in subjects with late-life depression (LLD), an illness combined with emotion dysregulation and aging effect. METHODS: A total of 35 unremitted depressed elderly and 22 control subjects were recruited...
March 5, 2019: Journal of Affective Disorders
Junjing Wang, Ying Wang, Huiyuan Huang, Yanbin Jia, Senning Zheng, Shuming Zhong, Guanmao Chen, Li Huang, Ruiwang Huang
BACKGROUND: Previous studies have analyzed brain functional connectivity to reveal the neural physiopathology of bipolar disorder (BD) and major depressive disorder (MDD) based on the triple-network model [involving the salience network, default mode network (DMN), and central executive network (CEN)]. However, most studies assumed that the brain intrinsic fluctuations throughout the entire scan are static. Thus, we aimed to reveal the dynamic functional network connectivity (dFNC) in the triple networks of BD and MDD...
March 14, 2019: Psychological Medicine
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