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resting—state fmri

Ping Ren, Benjamin Chapman, Zhengwu Zhang, Giovanni Schifitto, Feng Lin
Locus of control (LOC) is an important personality trait. LOC over cognitive competency reflects an individual's perceived control of desired cognitive outcomes, which is critical for maintaining successful cognitive aging. It is important to understand the neural substrates of LOC over cognitive competency in older adults, especially for individuals at high risk of dementia. Here, we characterized a cohesive functional and structural connectivity profile underlying LOC among 55 older adults with amnestic mild cognitive impairment (aMCI), combining resting-state functional magnetic resonance imaging and diffusion tensor imaging...
2018: NeuroImage: Clinical
Jingsong Wu, Xiujuan Geng, Robin Shao, Nichol M L Wong, Jing Tao, Lidian Chen, Chetwyn C H Chan, Tatia M C Lee
Our brain during distinct developmental phases may show differential responses to perceived psychological stress, yet existing research specifically examining neurodevelopmental changes in stress processing is scarce. To fill in this research gap, this functional magnetic resonance imaging (fMRI) study examined the relationship between perceived stress and resting-state neural connectivity patterns among 67 healthy volunteers belonging to three age groups (adolescents, young adults and adults), who were supposed to be at separate neurodevelopmental phases and exhibit different affect regulatory processes in the brain...
2018: NeuroImage: Clinical
Xiaoxia Lei, Yunjie Liao, Mingtian Zhong, Wanrong Peng, Qian Liu, Shuqiao Yao, Xiongzhao Zhu, Changlian Tan, Jinyao Yi
In this study, combining degree centrality (DC) and fractional amplitude of low frequency fluctuation (fALFF) analyses of resting state (rs)-functional magnetic resonance imaging (fMRI) data, we aimed to explore functional connectivity density, local brain spontaneous activity, and their coupling strengths in borderline personality disorder (BPD). Forty-three BPD patients and 39 demographically-matched controls underwent rs-fMRI after completing a series of psychological tests. Two-sample t -tests were performed to compare DC and fALFF between these two groups...
2018: Frontiers in Psychiatry
Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers
This work presents an efficient framework, based on manifold approximation, for generating brain fingerprints from multi-modal data. The proposed framework represents images as bags of local features which are used to build a subject proximity graph. Compact fingerprints are obtained by projecting this graph in a low-dimensional manifold using spectral embedding. Experiments using the T1/T2-weighted MRI, diffusion MRI, and resting state fMRI data of 945 Human Connectome Project subjects demonstrate the benefit of combining multiple modalities, with multi-modal fingerprints more discriminative than those generated from individual modalities...
August 9, 2018: NeuroImage
Kathleen T Watson, Tonita E Wroolie, Gabby Tong, Lara C Foland-Ross, Sophia Frangou, Manpreet Singh, Roger McIntyre, Siena Roat-Shumway, Alison Myoraku, Allan L Reiss, Natalie L Rasgon
Insulin resistance (IR) is a metabolic state preceding development of type 2 diabetes (DM2), cardiovascular disease, and neurodegenerative disorders, including Alzheimer's Disease (AD). Liraglutide, a glucagon-like peptide-1 (GLP) agonist, is an insulin-sensitizing agent with neuroprotective properties, as shown in animal studies. The purpose of this double-blinded, placebo-controlled study was to examine the neural effects of administration of liraglutide in cognitively normal late middle-aged individuals with subjective cognitive complaints (half of subjects had family history of AD)...
August 9, 2018: Behavioural Brain Research
Xing Qian, Beatrice Rui Yi Loo, Francisco Xavier Castellanos, Siwei Liu, Hui Li Koh, Xue Wei Wendy Poh, Ranga Krishnan, Daniel Fung, Michael Wl Chee, Cuntai Guan, Tih-Shih Lee, Choon Guan Lim, Juan Zhou
A brain-computer-interface (BCI)-based attention training game system has shown promise for treating attention deficit/hyperactivity disorder (ADHD) children with inattentive symptoms. However, little is known about brain network organizational changes underlying behavior improvement following BCI-based training. To cover this gap, we aimed to examine the topological alterations of large-scale brain functional networks induced by the 8-week BCI-based attention intervention in ADHD boys using resting-state functional magnetic resonance imaging method...
August 10, 2018: Translational Psychiatry
A E P Mulders, A J H Moonen, K Dujardin, M L Kuijf, A Duits, B Flinois, R L H Handels, R Lopes, A F G Leentjens
BACKGROUND: Anxiety disorders occur in up to 35% of patients with Parkinson's disease (PD) and have a negative effect on motor symptoms and quality of life. To date, no clinical trials specifically targeting anxiety in PD patients have been published. OBJECTIVE: To describe the rationale and methodology of a randomised controlled trial (RCT) that aims to study the clinical effectiveness, alterations in brain circuitry, and cost-effectiveness of cognitive behavioural therapy (CBT) for anxiety in PD...
September 2018: Journal of Psychosomatic Research
Christine Beauchene, Subhradeep Roy, Rosalyn Moran, Alexander Leonessa, Nicole Abaid
OBJECTIVE: The objective of this paper is to didactically compare resting state connectivity networks computed using two different methods called Phase Locking Value (PLV) and Convergent Cross-Mapping (CCM). PLV is a ubiquitous measure of connectivity in electrophysiological research, but is less often applied to fMRI BOLD time series since this model-based metric assumes that oscillatory coupling is a sufficient condition for connectivity. Alternatively, CCM is a model-free method, which detects potentially nonlinear causal influences based on the ability to estimate one time-series with another and does not assume an oscillatory structure...
August 10, 2018: Journal of Neural Engineering
Yuan Zhang, Zhongxiang Dai, Yu Chen, Kang Sim, Yu Sun, Rongjun Yu
Despite convergent evidence suggesting that schizophrenia is a disorder of brain dysconnectivity, it remains unclear whether intra- or inter-hemispheric deficits or their combination underlie the dysconnection. This study examined the source of the functional dysconnection in schizophrenia. Resting-state fMRI was performed in 66 patients with schizophrenia and 73 matched healthy controls. Functional brain networks were constructed for each participant and further partitioned into intra- and inter-hemispheric connections...
August 9, 2018: Brain Imaging and Behavior
Yue Cui, Ming Song, Darren M Lipnicki, Yi Yang, Chuyang Ye, Lingzhong Fan, Jing Sui, Tianzi Jiang, Jianghong He
Evidence suggests that disruptions of the posteromedial cortex (PMC) and posteromedial corticothalamic connectivity contribute to disorders of consciousness (DOCs). While most previous studies treated the PMC as a whole, this structure is functionally heterogeneous. The present study investigated whether particular subdivisions of the PMC are specifically associated with DOCs. Participants were DOC patients, 21 vegetative state/unresponsive wakefulness syndrome (VS/UWS), 12 minimally conscious state (MCS), and 29 healthy controls...
2018: NeuroImage: Clinical
Masoud Tahmasian, Khadijeh Noori, Fateme Samea, Mojtaba Zarei, Kai Spiegelhalder, Simon B Eickhoff, Eus van Someren, Habibolah Khazaie, Claudia R Eickhoff
Insomnia disorder is a prevalent sleep disorder, which affects about 10% of general population. However, its neural mechanisms are poorly understood. Recently, several structural and functional neuroimaging studies have been conducted in patients with insomnia disorder, but these studies have yielded diverse findings. Here, we aimed to identify consistent patterns of abnormal brain alterations in insomnia disorder by performing a quantitative coordinate-based meta-analysis. Following the preferred reporting for systematic reviews and meta-analyses statement, we searched PubMed database and used reference tracking and finally retrieved 19 eligible studies (six task-based functional magnetic resonance imaging, eight resting-state functional magnetic resonance imaging, three voxel-based morphometry, and two positron emission tomography)...
July 10, 2018: Sleep Medicine Reviews
John D Murray, Murat Demirtaş, Alan Anticevic
Noninvasive neuroimaging has revolutionized the study of the organization of the human brain and how its structure and function are altered in psychiatric disorders. A critical explanatory gap lies in our mechanistic understanding of how systems-level neuroimaging biomarkers emerge from underlying synaptic-level perturbations associated with a disease state. We describe an emerging computational psychiatry approach leveraging biophysically based computational models of large-scale brain dynamics and their potential integration with clinical and pharmacological neuroimaging...
July 19, 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
Davis C Woodworth, Langston T Holly, Noriko Salamon, Benjamin M Ellingson
OBJECTIVES: To determine the relationship between functional connectivity using resting-state fMRI and neurological impairment in patients with cervical spondylosis and healthy controls. METHODS: A total of 24 patients with cervical spondylosis with or without myelopathy and 17 neurologically intact, healthy volunteer subjects were prospectively enrolled in a cross-sectional study involving observational MRI and evaluation of neurological function using the modified Japanese Orthopedic Association (mJOA) score...
August 6, 2018: World Neurosurgery
Chao Wang, Binrang Yang, Diangang Fang, Hongwu Zeng, Xiaowen Chen, Gang Peng, Qiuying Cheng, Guohua Liang
Attention deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopment disorder. The deficit in working memory is a central cognitive impairment in ADHD. The SNAP-25 is a neurotransmitter vesicular docking protein whose MnlI polymorphism (rs3746544) is located in the 3'-untranslated region (3'-UTR) and known to be linked to ADHD, but the underlying mechanism of this polymorphism remains unclear. Using a functional connectivity density (FCD) mapping method based on resting-state functional magnetic resonance imaging in a sample of male children diagnosed with ADHD, we first investigated the correlation between SNAP-25 rs3746544 and FCD hubs...
August 6, 2018: Biological Psychology
Miao Zhong, Wanqun Yang, Biao Huang, Wenjie Jiang, Xiong Zhang, Xiaojin Liu, Lijuan Wang, Junjing Wang, Ling Zhao, Yuhu Zhang, Yingjun Liu, Jiabao Lin, Ruiwang Huang
Levodopa therapy is widely recognized as an effective treatment for PD patients, however, it is rare of the study looking at effects of levodopa therapy on the whole-brain network. This study was to evaluate the effects of levodopa on whole-brain degree centrality (DC) and seed-based functional connectivity (FC) in PD patients. We recruited 26 PD patients and acquired their resting-state fMRI data before ('OFF' state) and after ('ON' state) taking a dose of 400 mg levodopa. Through constructing the voxel-based brain functional network, we calculated distant and local DC and seed-based FC...
August 8, 2018: Brain Imaging and Behavior
James R Riehl, Ben J Palanca, ShiNung Ching
Characterizing anesthesia-induced alterations to brain network dynamics provides a powerful framework to understand the neural mechanisms of unconsciousness. To this end, increased attention has been directed at how anesthetic drugs alter the functional connectivity between brain regions as defined through neuroimaging. However, the effects of anesthesia on temporal dynamics at functional network scales is less well understood. Here, we examine such dynamics in view of the free-energy principle, which postulates that brain dynamics tend to promote lower energy (more organized) states...
2018: Network neuroscience
Xia-An Bi, Qian Xu, Xianhao Luo, Qi Sun, Zhigang Wang
The identification of abnormal cognitive decline at an early stage becomes an increasingly significant conundrum to physicians and is of major interest in the studies of mild cognitive impairment (MCI). Support vector machine (SVM) as a high-dimensional pattern classification technique is widely employed in neuroimaging research. However, the application of a single SVM classifier may be difficult to achieve the excellent classification performance because of the small-sample size and noise of imaging data...
2018: Frontiers in Psychiatry
Hailong Li, Nehal A Parikh, Lili He
Early diagnosis remains a significant challenge for many neurological disorders, especially for rare disorders where studying large cohorts is not possible. A novel solution that investigators have undertaken is combining advanced machine learning algorithms with resting-state functional Magnetic Resonance Imaging to unveil hidden pathological brain connectome patterns to uncover diagnostic and prognostic biomarkers. Recently, state-of-the-art deep learning techniques are outperforming traditional machine learning methods and are hailed as a milestone for artificial intelligence...
2018: Frontiers in Neuroscience
Aitana Pascual-Belda, Antonio Díaz-Parra, David Moratal
The study of resting-state functional brain networks is a powerful tool to understand the neurological bases of a variety of disorders such as Autism Spectrum Disorder (ASD). In this work, we have studied the differences in functional brain connectivity between a group of 74 ASD subjects and a group of 82 typical-development (TD) subjects using functional magnetic resonance imaging (fMRI). We have used a network approach whereby the brain is divided into discrete regions or nodes that interact with each other through connections or edges...
August 7, 2018: Diagnostics
A Manzouri, I Savic
Although frequently discussed in terms of sex dimorphism, the neurobiology of sexual orientation and identity is unknown. We report multimodal magnetic resonance imaging data, including cortical thickness (Cth), subcortical volumes, and resting state functional magnetic resonance imaging, from 27 transgender women (TrW), 40 transgender men (TrM), and 80 heterosexual (40 men) and 60 homosexual cisgender controls (30 men). These data show that whereas homosexuality is linked to cerebral sex dimorphism, gender dysphoria primarily involves cerebral networks mediating self-body perception...
July 31, 2018: Cerebral Cortex
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