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Resting state networks

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https://www.readbyqxmd.com/read/27911308/the-effects-of-gene-mutations-on%C3%A2-default%C3%A2-mode-network-in%C3%A2-familial%C3%A2-alzheimer-s-disease
#1
Xiaozhen Li, Eric Westman, Steinunn Thordardottir, Anne Kinhult Ståhlbom, Ove Almkvist, Kaj Blennow, Lars-Olof Wahlund, Caroline Graff
Familial Alzheimer's disease (FAD) mutations have very high penetrance but age at onset and rate of disease progression differ. Neuroimaging and cerebrospinal fluid (CSF) examinations in mutation carriers (MCs) may provide an opportunity to identify early biomarkers that can be used to track disease progression from presymptomatic to the dementia stages of disease. The default mode network (DMN) is a resting state neuronal network composed of regions known to associate with amyloid deposition in AD. We hypothesized that functional connectivity in the DMN might change at pre-clinical stages in FAD MCs and correlate with changes in CSF biomarkers as a consequence of AD brain pathology...
November 29, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/27911020/changes-in-resting-state-connectivity-in-musicians-with-embouchure-dystonia
#2
Bernhard Haslinger, Jonas Noé, Eckart Altenmüller, Valentin Riedl, Claus Zimmer, Tobias Mantel, Christian Dresel
OBJECTIVE: Embouchure dystonia is a highly disabling task-specific dystonia in professional brass musicians leading to spasms of perioral muscles while playing the instrument. As they are asymptomatic at rest, resting-state functional magnetic resonance imaging in these patients can reveal changes in functional connectivity within and between brain networks independent from dystonic symptoms. METHODS: We therefore compared embouchure dystonia patients to healthy musicians with resting-state functional magnetic resonance imaging in combination with independent component analyses...
December 2, 2016: Movement Disorders: Official Journal of the Movement Disorder Society
https://www.readbyqxmd.com/read/27908787/fractionating-the-anterior-temporal-lobe-mvpa-reveals-differential-responses-to-input-and-conceptual-modality
#3
Charlotte Murphy, Shirley-Ann Rueschemeyer, David Watson, Theodoros Karapanagiotidis, Jonathan Smallwood, Elizabeth Jefferies
Words activate cortical regions in accordance with their modality of presentation (i.e., written vs. spoken), yet there is a long-standing debate about whether patterns of activity in any specific brain region capture modality-invariant conceptual information. Deficits in patients with semantic dementia highlight the anterior temporal lobe (ATL) as an amodal store of semantic knowledge but these studies do not permit precise localisation of this function. The current investigation used multiple imaging methods in healthy participants to examine functional dissociations within ATL...
November 28, 2016: NeuroImage
https://www.readbyqxmd.com/read/27906973/detecting-mild-traumatic-brain-injury-using-resting-state-magnetoencephalographic-connectivity
#4
Vasily A Vakorin, Sam M Doesburg, Leodante da Costa, Rakesh Jetly, Elizabeth W Pang, Margot J Taylor
Accurate means to detect mild traumatic brain injury (mTBI) using objective and quantitative measures remain elusive. Conventional imaging typically detects no abnormalities despite post-concussive symptoms. In the present study, we recorded resting state magnetoencephalograms (MEG) from adults with mTBI and controls. Atlas-guided reconstruction of resting state activity was performed for 90 cortical and subcortical regions, and calculation of inter-regional oscillatory phase synchrony at various frequencies was performed...
December 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27903719/the-segregation-and-integration-of-distinct-brain-networks-and-their-relationship-to-cognition
#5
Jessica R Cohen, Mark D'Esposito
: A critical feature of the human brain that gives rise to complex cognition is its ability to reconfigure its network structure dynamically and adaptively in response to the environment. Existing research probing task-related reconfiguration of brain network structure has concluded that, although there are many similarities in network structure during an intrinsic, resting state and during the performance of a variety of cognitive tasks, there are meaningful differences as well. In this study, we related intrinsic, resting state network organization to reconfigured network organization during the performance of two tasks: a sequence tapping task, which is thought to probe motor execution and likely engages a single brain network, and an n-back task, which is thought to probe working memory and likely requires coordination across multiple networks...
November 30, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27903707/formation-of-long-term-locomotor-memories-is-associated-with-functional-connectivity-changes-in-the-cerebellar-thalamic-cortical-network
#6
Firas Mawase, Simona Bar-Haim, Lior Shmuelof
: Although motor adaptation is typically rapid, accumulating evidence shows that it is also associated with long-lasting behavioural and neuronal changes. Two processes were suggested to explain the formation of long-term motor memories: recall -- reflecting a retrieval of previous motor actions, and faster relearning -- reflecting an increased sensitivity to errors. While these manifestations of motor memories were initially demonstrated in the context of adaptation experiments in reaching, indications of long-term motor memories were also recently demonstrated in other kinds of adaptation, such as in locomotor adaptation...
November 30, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27903441/optimising-experimental-design-for-meg-resting-state-functional-connectivity-measurement
#7
Lucrezia Liuzzi, Lauren E Gascoyne, Prejaas K Tewarie, Eleanor L Barratt, Elena Boto, Matthew J Brookes
The study of functional connectivity using magnetoencephalography (MEG) is an expanding area of neuroimaging, and adds an extra dimension to the more common assessments made using fMRI. The importance of such metrics is growing, with recent demonstrations of their utility in clinical research, however previous reports suggest that whilst group level resting state connectivity is robust, single session recordings lack repeatability. Such robustness is critical if MEG measures in individual subjects are to prove clinically valuable...
November 26, 2016: NeuroImage
https://www.readbyqxmd.com/read/27902936/how-restful-is-it-with-all-that-noise-comparison-of-interleaved-silent-steady-state-isss-and-conventional-imaging-in-resting-state-fmri
#8
J Andoh, M Ferreira, I R Leppert, R Matsushita, B Pike, R J Zatorre
Resting-state fMRI studies have become very important in cognitive neuroscience because they are able to identify BOLD fluctuations in brain circuits involved in motor, cognitive, or perceptual processes without the use of an explicit task. Such approaches have been fruitful when applied to various disordered populations, or to children or the elderly. However, insufficient attention has been paid to the consequences of the loud acoustic scanner noise associated with conventional fMRI acquisition, which could be an important confounding factor affecting auditory and/or cognitive networks in resting-state fMRI...
November 27, 2016: NeuroImage
https://www.readbyqxmd.com/read/27902865/small-world-properties-changes-in-mild-traumatic-brain-injury
#9
Yongxia Zhou
PURPOSE: To investigate local and global efficiency changes characterized by small-world properties based on resting-state functional MRI, such as centrality and clustering coefficient, in mild traumatic brain injury (MTBI) patients; and to associate these findings with axonal injury as measured by diffusion tensor imaging (DTI) as well as with post-concussive symptom (PCS). MATERIALS AND METHODS: Thirty patients (mean age 35 ± 13 years) with clinically defined MTBI and 45 age-matched healthy controls (mean age 37 ± 10 years) participated in the experiments...
November 30, 2016: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/27901587/changes-in-functional-connectivity-of-the-brain-associated-with-a-history-of-sport-concussion-a-preliminary-investigation
#10
Nathan Churchill, Michael G Hutchison, General Leung, Simon Graham, Tom A Schweizer
OBJECTIVE: There is evidence of long-term clinical consequences associated with a history of sport concussion. However, there remains limited information about the underlying changes in brain function. The goal of this study was to identify brain regions where abnormal resting-state function is associated with chronic concussion, for athletes without persistent symptoms. METHODS: Functional Magnetic Resonance Imaging (fMRI) was performed on a group of athletes with prior concussion (n = 22) and a group without documented injury (n = 21)...
November 30, 2016: Brain Injury: [BI]
https://www.readbyqxmd.com/read/27898057/functional-brain-mapping-using-specific-sensory-circuit-stimulation-and-a-theoretical-graph-network-analysis-in-mice-with-neuropathic-allodynia
#11
Yuji Komaki, Keigo Hikishima, Shinsuke Shibata, Tsunehiko Konomi, Fumiko Seki, Masayuki Yamada, Naoyuki Miyasaka, Kanehiro Fujiyoshi, Hirotaka J Okano, Masaya Nakamura, Hideyuki Okano
Allodynia, a form of neuropathic pain, is defined as pain in response to a non-nociceptive stimulus. The brain regions responsible for pain, which are not normally activated, can be activated in allodynic mice by providing a suitable stimulus to Aβ-fibers, which transmit signals from tactile sensory fibers. Functional MRI (fMRI) can be used to objectively observe abnormal brain activation. In the present study, fMRI was conducted to investigate allodynia in mice; allodynia was generated by surgical injury at the L4 spinal nerve root, thus selectively stimulating sensory nerve fibers...
November 29, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27897031/abnormal-coupling-between-dmn-and-delta-and-beta-band-eeg-in-psychotic-patients
#12
Anja Baenninger, Vanessa A Palzes, Brian J Roach, Daniel H Mathalon, Judith Ford, Thomas Koenig
Common-phase synchronization of neuronal oscillations is a mechanism by which distributed brain regions can be integrated into transiently stable networks. Based on the hypothesis that schizophrenia is characterized by deficits in functional integration within neuronal networks, this study aimed to explore whether psychotic patients exhibit differences in brain regions involved in integrative mechanisms. We report an EEG-informed fMRI analysis of eyes-open resting state data collected from patients and healthy controls at two study sites...
November 29, 2016: Brain Connectivity
https://www.readbyqxmd.com/read/27896962/adaptive-testing-of-snp-brain-functional-connectivity-association-via-a-modular-network-analysis
#13
Chen Gao, Junghi Kim, Wei Pan
Due to its high dimensionality and high noise levels, analysis of a large brain functional network may not be powerful and easy to interpret; instead, decomposition of a large network into smaller subcomponents called modules may be more promising as suggested by some empirical evidence. For example, alteration of brain modularity is observed in patients suffering from various types of brain malfunctions. Although several methods exist for estimating brain functional networks, such as the sample correlation matrix or graphical lasso for a sparse precision matrix, it is still difficult to extract modules from such network estimates...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896064/executive-attention-networks-show-altered-relationship-with-default-mode-network-in-pd
#14
Peter Boord, Tara M Madhyastha, Mary K Askren, Thomas J Grabowski
Attention dysfunction is a common but often undiagnosed cognitive impairment in Parkinson's disease that significantly reduces quality of life. We sought to increase understanding of the mechanisms underlying attention dysfunction using functional neuroimaging. Functional MRI was acquired at two repeated sessions in the resting state and during the Attention Network Test, for 25 non-demented subjects with Parkinson's disease and 21 healthy controls. Behavioral and MRI contrasts were calculated for alerting, orienting, and executive control components of attention...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/27892484/environmental-factors-linked-to-depression-vulnerability-are-associated-with-altered-cerebellar-resting-state-synchronization
#15
Aldo Córdova-Palomera, Cristian Tornador, Carles Falcón, Nuria Bargalló, Paolo Brambilla, Benedicto Crespo-Facorro, Gustavo Deco, Lourdes Fañanás
Hosting nearly eighty percent of all human neurons, the cerebellum is functionally connected to large regions of the brain. Accumulating data suggest that some cerebellar resting-state alterations may constitute a key candidate mechanism for depressive psychopathology. While there is some evidence linking cerebellar function and depression, two topics remain largely unexplored. First, the genetic or environmental roots of this putative association have not been elicited. Secondly, while different mathematical representations of resting-state fMRI patterns can embed diverse information of relevance for health and disease, many of them have not been studied in detail regarding the cerebellum and depression...
November 28, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27891090/disrupted-nodal-and-hub-organization-account-for-brain-network-abnormalities-in-parkinson-s-disease
#16
Yuko Koshimori, Sang-Soo Cho, Marion Criaud, Leigh Christopher, Mark Jacobs, Christine Ghadery, Sarah Coakeley, Madeleine Harris, Romina Mizrahi, Clement Hamani, Anthony E Lang, Sylvain Houle, Antonio P Strafella
The recent application of graph theory to brain networks promises to shed light on complex diseases such as Parkinson's disease (PD). This study aimed to investigate functional changes in sensorimotor and cognitive networks in Parkinsonian patients, with a focus on inter- and intra-connectivity organization in the disease-associated nodal and hub regions using the graph theoretical analyses. Resting-state functional MRI data of a total of 65 participants, including 23 healthy controls (HCs) and 42 patients, were investigated in 120 nodes for local efficiency, betweenness centrality, and degree...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27891085/pain-perception-can-be-modulated-by-mindfulness-training-a-resting-state-fmri-study
#17
I-Wen Su, Fang-Wei Wu, Keng-Chen Liang, Kai-Yuan Cheng, Sung-Tsang Hsieh, Wei-Zen Sun, Tai-Li Chou
The multi-dimensional nature of pain renders difficult a holistic understanding of it. The conceptual framework of pain is said to be cognitive-evaluative, in addition to being sensory-discriminative and affective-motivational. To compare participants' brain-behavior response before and after a 6-week mindfulness-based stress reduction training course on mindfulness in relation to pain modulation, three questionnaires (the Dallas Pain Questionnaire, Short Form McGill Pain Questionnaire-SFMPQ, and Kentucky Inventory of Mindfulness) as well as resting-state functional magnetic resonance imaging were administered to participants, divided into a pain-afflicted group (N = 18) and a control group (N = 16)...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27890810/interaction-of-language-auditory-and-memory-brain-networks-in-auditory-verbal-hallucinations
#18
REVIEW
Branislava Ćurčić-Blake, Judith Ford, Daniela Hubl, Natasza D Orlov, Iris E Sommer, Flavie Waters, Paul Allen, Renaud Jardri, Peter W Woodruff, David Olivier, Christoph Mulert, Todd S Woodward, André Aleman
Auditory verbal hallucinations (AVH) occur in psychotic disorders, but also as a symptom of other conditions and even in healthy people. Several current theories on the origin of AVH converge, with neuroimaging studies suggesting that the language, auditory and memory/limbic networks are of particular relevance. However, reconciliation of these theories with experimental evidence is missing. We review 50 studies investigating functional (EEG and fMRI) and anatomic (diffusion tensor imaging) connectivity in these networks, and explore the evidence supporting abnormal connectivity in these networks associated with AVH...
November 24, 2016: Progress in Neurobiology
https://www.readbyqxmd.com/read/27890008/functional-connectivity-analysis-of-brain-default-mode-networks-using-hamiltonian-path
#19
Zhuqing Jiao, Kai Ma, Huan Wang, Ling Zou, Jianbo Xiang
The aim of this study is to introduce Hamiltonian path to analyze functional connectivity of brain default mode networks (DMNs). Firstly, the brain DMNs in resting state are constructed with the employment of functional Magnetic Resonance Imaging (fMRI) data. Then, the Dijkstra algorithm is used to calculate the shortest path length of the node which represents each brain region, and the Hamiltonian path of the default network is solved through the improved adaptive ant colony algorithm. Finally, complex network analysis methods are introduced to discuss the node and network properties of brain functional connectivity in both normal subjects and stroke patients...
November 24, 2016: CNS & Neurological Disorders Drug Targets
https://www.readbyqxmd.com/read/27888520/identifying-the-epileptogenic-zone-in-interictal-resting-state-meg-source-space-networks
#20
Ida A Nissen, Cornelis J Stam, Jaap C Reijneveld, Ilse E C W van Straaten, Eef J Hendriks, Johannes C Baayen, Philip C De Witt Hamer, Sander Idema, Arjan Hillebrand
OBJECTIVE: In one third of patients, seizures remain after epilepsy surgery, meaning that improved preoperative evaluation methods are needed to identify the epileptogenic zone. A potential framework for such a method is network theory, as it can be applied to noninvasive recordings, even in the absence of epileptiform activity. Our aim was to identify the epileptogenic zone on the basis of hub status of local brain areas in interictal magnetoencephalography (MEG) networks. METHODS: Preoperative eyes-closed resting-state MEG recordings were retrospectively analyzed in 22 patients with refractory epilepsy, of whom 14 were seizure-free 1 year after surgery...
November 26, 2016: Epilepsia
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