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Resting state fMRI

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https://www.readbyqxmd.com/read/28819132/treatment-associated-changes-of-functional-connectivity-of-midbrain-brainstem-nuclei-in-major-depressive-disorder
#1
Gerd Wagner, Feliberto de la Cruz, Stefanie Köhler, Karl-Jürgen Bär
Previous functional magnetic resonance imaging (fMRI) studies demonstrated an abnormally coordinated network functioning in Major Depression Disorder (MDD) during rest. The main monoamine-producing nuclei within midbrain/brainstem are functionally integrated within these specific networks. Therefore, we aimed to investigate the resting-state functional connectivity (RSFC) of these nuclei in 45 MDD patients and differences between patients receiving two different classes of antidepressant drugs. Patients showed reduced RSFC from the ventral tegmental area (VTA) to dorsal anterior cingulate cortex (dACC) and stronger RSFC to the left amygdala and dorsolateral prefrontal cortex (DLPFC)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28817216/functional-neuroimaging-after-severe-anoxic-brain-injury-in-children-may-reveal-preserved-yet-covert-cognitive-function
#2
Adrian M Owen
A growing body of evidence has confirmed that, after severe brain injury in adults, motoric and task-dependent factors that are essential for reliable communication, frequently interfere with an accurate assessment of cognitive status. In the current study, resting state functional magnetic resonance imaging (fMRI) in children who have sustained an anoxic brain injury following a near drowning incident suggests a similar pattern; preserved cognition amidst severe motoric impairment that effectively precludes accurate clinical diagnosis at the bedside...
August 17, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28815863/decoding-fmri-events-in-sensorimotor-motor-network-using-sparse-paradigm-free-mapping-and-activation-likelihood-estimates
#3
Francisca M Tan, César Caballero-Gaudes, Karen J Mullinger, Siu-Yeung Cho, Yaping Zhang, Ian L Dryden, Susan T Francis, Penny A Gowland
Most functional MRI (fMRI) studies map task-driven brain activity using a block or event-related paradigm. Sparse paradigm free mapping (SPFM) can detect the onset and spatial distribution of BOLD events in the brain without prior timing information, but relating the detected events to brain function remains a challenge. In this study, we developed a decoding method for SPFM using a coordinate-based meta-analysis method of activation likelihood estimation (ALE). We defined meta-maps of statistically significant ALE values that correspond to types of events and calculated a summation overlap between the normalized meta-maps and SPFM maps...
August 16, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28814282/alterations-in-resting-state-functional-connectivity-of-the-default-mode-network-in-amnestic-mild-cognitive-impairment-an-fmri-study
#4
Moyi Li, Guohua Zheng, Yuhui Zheng, Zhenyu Xiong, Rui Xia, Wenji Zhou, Qin Wang, Shengxiang Liang, Jing Tao, Lidian Chen
BACKGROUND: Amnestic mild cognitive impairment (aMCI) is characterized by cognitive functional decline, especially in memory. Resting-state functional magnetic resonance imaging (fMRI) has been widely used in neuroimaging studies that explore alterations between patients and normal individuals to elucidate the pathological mechanisms of different diseases. The current study was performed to investigate alterations in the functional connectivity of the default mode network (DMN) in aMCI patients compared to healthy elderly controls, as well as further define the association between neurological alterations and memory function...
August 16, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28804783/functional-corticostriatal-connection-topographies-predict-goal-directed-behaviour-in-humans
#5
Andre F Marquand, Koen V Haak, Christian F Beckmann
Anatomical tracing studies in non-human primates have suggested that corticostriatal connectivity is topographically organized: nearby locations in striatum are connected with nearby locations in cortex. The topographic organization of corticostriatal connectivity is thought to underpin many goal-directed behaviours, but these topographies have not been completely characterised in humans and their relationship to uniquely human behaviours remains to be fully determined. Instead, the dominant approach employs parcellations that cannot model the continuous nature of the topography, nor accommodate overlapping cortical projections in the striatum...
August 2017: Nature Human Behaviour
https://www.readbyqxmd.com/read/28801672/sample-entropy-reveals-an-age-related-reduction-in-the-complexity-of-dynamic-brain
#6
Yanbing Jia, Huaguang Gu, Qiang Luo
Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was established by resting-state functional magnetic resonance imaging (fMRI) data, and we measured complexity within the dynamic functional connectivity by sample entropy (SampEn). A brainwide map of SampEn in healthy subjects shows larger values in the caudate, the olfactory gyrus, the amygdala, and the hippocampus, and lower values in primary sensorimotor and visual areas...
August 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28798808/altered-brain-functional-connectivity-in-small-cell-lung-cancer-patients-after-chemotherapy-treatment-a-resting-state-fmri-study
#7
Konstantinos Bromis, Kostakis Gkiatis, Irene Karanasiou, George Matsopoulos, Eustratios Karavasilis, Matilda Papathanasiou, Efstathios Efstathopoulos, Nikolaos Kelekis, Vasileios Kouloulias
Previous studies in small-cell lung cancer (SCLC) patients have mainly focused on exploring neurocognitive deficits associated with prophylactic cranial irradiation (PCI). Little is known about functional brain alterations that might occur due to chemotherapy treatment in this population before PCI is administered. For this reason, we used resting-state functional Magnetic Resonance Imaging (fMRI) to examine potential functional connectivity disruptions in brain networks, including the Default Mode Network (DMN), the Sensorimotor Network, and the Task-Positive Network (TPN)...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28798694/decomposing-multifractal-crossovers
#8
Zoltan Nagy, Peter Mukli, Peter Herman, Andras Eke
Physiological processes-such as, the brain's resting-state electrical activity or hemodynamic fluctuations-exhibit scale-free temporal structuring. However, impacts common in biological systems such as, noise, multiple signal generators, or filtering by transport function, result in multimodal scaling that cannot be reliably assessed by standard analytical tools that assume unimodal scaling. Here, we present two methods to identify breakpoints or crossovers in multimodal multifractal scaling functions. These methods incorporate the robust iterative fitting approach of the focus-based multifractal formalism (FMF)...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28796604/dual-temporal-and-spatial-sparse-representation-for-inferring-group-wise-brain-networks-from-resting-state-fmri-dataset
#9
Junhui Gong, Xiaoyan Liu, Tianming Liu, Jiansong Zhou, Gang Sun, Juanxiu Tian
Recently, sparse representation has been successfully used to identify brain networks from task-based fMRI dataset. However, when using the strategy to analyze resting-state fMRI dataset, it is still a challenge to automatically infer the group-wise brain networks under consideration of group commonalities and subject-specific characteristics. In the paper, a novel method based on dual temporal and spatial sparse representation (DTSSR) is proposed to meet this challenge. Firstly, the brain functional networks with subject-specific characteristics are obtained via sparse representation with online dictionary learning for the fMRI time series (temporal domain) of each subject...
August 9, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28794974/resting-state-functional-connectivity-changes-due-to-acute-and-short-term-valproic-acid-administration-in-the-baboon-model-of-gge
#10
Felipe S Salinas, Charles Ákos Szabó
Resting-state functional connectivity (FC) is altered in baboons with genetic generalized epilepsy (GGE) compared to healthy controls (CTL). We compared FC changes between GGE and CTL groups after intravenous injection of valproic acid (VPA) and following one-week of orally administered VPA. Seven epileptic (2 females) and six CTL (3 females) baboons underwent resting-state fMRI (rs-fMRI) at 1) baseline, 2) after intravenous acute VPA administration (20 mg/kg), and 3) following seven-day oral, subacute VPA therapy (20-80 mg/kg/day)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28794972/fractional-amplitude-of-low-frequency-fluctuations-falff-in-post-stroke-depression
#11
Natalia Egorova, Michele Veldsman, Toby Cumming, Amy Brodtmann
Depression is a common outcome following stroke, associated with reduced quality of life and poorer recovery. Despite attempts to associate depression symptoms with specific lesion sites, the neural basis of post-stroke depression remains poorly understood. Resting state fMRI has provided new insights into the neural underpinnings of post-stroke depression, but has been limited to connectivity analyses exploring interregional correlations in the time-course of activity. Other aspects of resting state BOLD signal remain unexamined...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28790829/the-regional-neuronal-activity-in-left-posterior-middle-temporal-gyrus-is-correlated-with-the-severity-of-chronic-aphasia
#12
Jianlin Li, Dunren Du, Wei Gao, Xichun Sun, Haizhu Xie, Gang Zhang, Jian Li, Honglun Li, Kefeng Li
BACKGROUND: Aphasia is one of the most disabling cognitive deficits affecting >2 million people in the USA. The neuroimaging characteristics of chronic aphasic patients (>6 months post onset) remain largely unknown. OBJECTIVE: The objective of this study was to investigate the regional signal changes of spontaneous neuronal activity of brain and the inter-regional connectivity in chronic aphasia. MATERIALS AND METHODS: Resting-state blood oxygenation level-dependent functional magnetic resonance imaging (fMRI) was used to obtain fMRI data from 17 chronic aphasic patients and 20 healthy control subjects in a Siemens Verio 3...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28789983/impaired-brain-network-architecture-in-newly-diagnosed-parkinson-s-disease-based-on-graph-theoretical-analysis
#13
Jinping Fang, Huimin Chen, Zhentang Cao, Ying Jiang, Lingyan Ma, Huizi Ma, Tao Feng
BACKGROUND: Resting state functional magnetic resonance imaging (rs-fMRI) has been applied to investigate topographic structure in Parkinson's disease (PD). Alteration of topographic architecture has been inconsistent in PD AIM: To investigate the network profile of PD using graph theoretical analysis. METHOD: Twenty six newly diagnosed PD and 19 age- and gender- matched healthy controls (HC) were included in our analysis. Small-world profile and topographic profiles (nodal degree, global efficiency, local efficiency, cluster coefficient, shortest path length, betweenness centrality) were measured and compared between groups, with age and gender as covariates...
August 5, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28783763/mapping-altered-brain-connectivity-and-its-clinical-associations-in-adult-moyamoya-disease-a-resting-state-functional-mri-study
#14
Ken Kazumata, Khin Khin Tha, Haruto Uchino, Masaki Ito, Naoki Nakayama, Takeo Abumiya
Detection of subtle ischemic injuries in moyamoya disease may enable optimization of timing of revascularization surgery, and could potentially improve functional outcomes. Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used to study functional organization of the brain, but it remains unclear whether rs-fMRI could elucidate distinct characteristics in moyamoya disease. Here, we aimed to determine changes in a conventional rs-fMRI measure and analyze any associations with clinical symptoms and cerebral hemodynamics...
2017: PloS One
https://www.readbyqxmd.com/read/28782871/combining-task-related-activation-and-connectivity-analysis-of-fmri-data-reveals-complex-modulation-of-brain-networks
#15
Martin Fungisai Gerchen, Peter Kirsch
Task-related effects in functional magnetic resonance imaging (fMRI) data are usually analyzed with local activation approaches or integrative connectivity approaches, for example, by psychophysiological interaction (PPI) analysis. While both approaches are often applied to the same data set, a systematic combination of the results with a whole-brain (WB) perspective is rarely conducted and the relationship between task-dependent activation and connectivity effects is relatively unexplored. Here, we combined brain activation and graph theoretical analysis of WB-PPI results in an exemplary episodic memory data set of N = 136 healthy human participants and found regions with congruent as well as incongruent activation and connectivity changes between task and control conditions...
August 7, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28782681/a-bayesian-spatial-model-for-neuroimaging-data-based-on-biologically-informed-basis-functions
#16
Ismael Huertas, Marianne Oldehinkel, Erik S B van Oort, David Garcia-Solis, Pablo Mir, Christian F Beckmann, Andre F Marquand
The dominant approach to neuroimaging data analysis employs the voxel as the unit of computation. While convenient, voxels lack biological meaning and their size is arbitrarily determined by the resolution of the image. Here, we propose a multivariate spatial model in which neuroimaging data is characterized as a linearly weighted combination of multiscale basis functions which map onto underlying brain nuclei or networks or nuclei. In this model, the elementary building blocks are derived to reflect the functional anatomy of the brain during the resting state...
August 4, 2017: NeuroImage
https://www.readbyqxmd.com/read/28782373/correlating-resting-state-functional-mri-connectivity-by-independent-component-analysis-based-epileptogenic-zones-with-intracranial-eeg-localized-seizure-onset-zones-and-surgical-outcomes-in-prospective-pediatric-intractable-epilepsy-study
#17
Varina Boerwinkle, Deepankar Mohanty, Stephen Foldes, Danielle Guffey, Charles G Minard, Lucia Mirea, Aditya Vedantam, Jeffery S Raskin, Sandi Lam, Margaret Bond, P David Adelson, Angus A Wilfong, Daniel J Curry
OBJECTIVE: Prospective investigation determining agreement between the epileptogenic zone(s) (EZ) localization by resting state functional MRI (rs-fMRI) and the seizure onset zone(s) (SOZ) identified by intracranial EEG (ic-EEG) using novel differentiating and ranking criteria of rs-fMRI abnormal independent components in a consecutive heterogeneous pediatric intractable epilepsy population prospectively was conducted. METHODS: The EZ criteria were developed from an initial cohort of 350 patients evaluated for epilepsy surgery over a 3-year period...
August 7, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28777721/infinite-von-mises-fisher-mixture-modeling-of-whole-brain-fmri-data
#18
Rasmus E Røge, Kristoffer H Madsen, Mikkel N Schmidt, Morten Mørup
Cluster analysis of functional magnetic resonance imaging (fMRI) data is often performed using gaussian mixture models, but when the time series are standardized such that the data reside on a hypersphere, this modeling assumption is questionable. The consequences of ignoring the underlying spherical manifold are rarely analyzed, in part due to the computational challenges imposed by directional statistics. In this letter, we discuss a Bayesian von Mises-Fisher (vMF) mixture model for data on the unit hypersphere and present an efficient inference procedure based on collapsed Markov chain Monte Carlo sampling...
August 4, 2017: Neural Computation
https://www.readbyqxmd.com/read/28774649/the-dynamic-imprint-of-word-learning-on-the-dorsal-language-pathway
#19
María-Ángeles Palomar-García, Ana Sanjuán, Elisenda Bueichekú, Noelia Ventura-Campos, César Ávila
According to Hickok and Poeppel (2007), the acquisition of new vocabulary rests on the dorsal language pathway connecting auditory and motor areas. The present study tested this hypothesis longitudinally by measuring BOLD signal changes during a verbal repetition task and modulation of resting state functional connectivity (rs-FC) in the dorsal stream. Thirty-five healthy participants, divided into trained and control groups, completed fMRI sessions on days 1, 10, and 24. Between days 1 and 10, the trained group learned 84 new pseudowords associated with 84 native words...
July 31, 2017: NeuroImage
https://www.readbyqxmd.com/read/28769870/altered-coupling-between-motion-related-activation-and-resting-state-brain-activity-in-the-ipsilesional-sensorimotor-cortex-after-cerebral-stroke
#20
Jianping Hu, Juan Du, Qiang Xu, Fang Yang, Fanyong Zeng, Xi-Jian Dai, Xiaoxue Liu, Guangming Lu, Zhiqiang Zhang
Functional connectivity maps using resting-state functional magnetic resonance imaging (rs-fMRI) can closely resemble task fMRI activation patterns, suggesting that resting-state brain activity may predict task-evoked activation or behavioral performance. However, this conclusion was mostly drawn upon a healthy population. It remains unclear whether the predictive ability of resting-state brain activity for task-evoked activation would change under different pathological conditions. This study investigated dynamic changes of coupling between patterns of resting-state functional connectivity (RSFC) and motion-related activation in different stages of cerebral stroke...
2017: Frontiers in Neurology
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