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Source: NeuroImage
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Total 58 results found since Jan 2013.
Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance
Publication date: 1 July 2016 Source:NeuroImage, Volume 134 Author(s): G. Naros, I. Naros, F. Grimm, U. Ziemann, A. Gharabaghi Self-regulation of sensorimotor oscillations is currently researched in neurorehabilitation, e.g. for priming subsequent physiotherapy in stroke patients, and may be modulated by neurofeedback or transcranial brain stimulation. It has still to be demonstrated, however, whether and under which training conditions such brain self-regulation could also result in motor gains. Thirty-two right-handed, healthy subjects participated in a three-day intervention during which they performed 462 trials...
Source: NeuroImage - April 19, 2016 Category: Neuroscience Source Type: research
Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field
This study investigated whether spontaneous resting-state functional connectivity could predict the degree of motor adaptation of right (dominant) upper limb reaching in response to a robot-mediated force field. Spontaneous neural activity was measured using resting-state electroencephalography (EEG) in healthy adults before a single session of motor adaptation. The degree of beta frequency (β; 15–25 Hz) resting-state functional connectivity between contralateral electrodes overlying the left primary motor cortex (M1) and the anterior prefrontal cortex (aPFC) could predict the subsequent degree of motor adaptation. Th...
Source: NeuroImage - April 4, 2018 Category: Neuroscience Source Type: research
The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback
This study has important implications for fMRI-NF protocols that employ motor imagery to modulate activity in specific target regions of the brain and to determine how they may be tailored for neurorehabilitation.
Source: NeuroImage - September 11, 2018 Category: Neuroscience Source Type: research
Cardiovascular disease risk factors, tract-based structural connectomics, and cognition in older adults
We examined whether CVD-RFs were associated with measures of tract-based structural connectivity in 94 non-demented/non-depressed older adults and if alterations in connectivity mediated associations between CVD-RFs and cognition. Participants (age = 68.2 years; 52.1% female; 46.8% Black) underwent CVD-RF assessment, MRI, and cognitive evaluation. Framingham 10-year stroke risk (FSRP-10) quantified CVD-RFs. Graph theory analysis integrated T1-derived gray matter regions of interest (ROIs; 23 a-priori ROIs associated with CVD-RFs and dementia), and diffusion MRI-derived white matter tractography into connectivity matric...
Source: NeuroImage - April 12, 2019 Category: Neuroscience Source Type: research
Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning
This study demonstrates the potential of applying deep learning techniques to medical imaging for improving efficiency and accuracy in diagnosis.Graphical abstract
Source: NeuroImage - May 21, 2019 Category: Neuroscience Source Type: research
In vivo widefield calcium imaging of the mouse cortex for analysis of network connectivity in health and brain disease
Publication date: Available online 7 June 2019Source: NeuroImageAuthor(s): Julia V. Cramer, Benno Gesierich, Stefan Roth, Martin Dichgans, Marco Düring, Arthur LieszAbstractThe organization of brain areas in functionally connected networks, their dynamic changes, and perturbations in disease states are subject of extensive investigations. Research on functional networks in humans predominantly uses functional magnetic resonance imaging (fMRI). However, adopting fMRI and other functional imaging methods to mice, the most widely used model to study brain physiology and disease, poses major technical challenges and faces imp...
Source: NeuroImage - June 7, 2019 Category: Neuroscience Source Type: research
Validating faster DENSE measurements of cardiac-induced brain tissue expansion as a potential tool for investigating cerebral microvascular pulsations
This study aims, first, to validate a retrospectively-gated implementation of the DENSE method for assessing brain tissue pulsations as a physiological marker, and second, to use the acquired measurements to explore intracranial volume dynamics. We acquired repeated measurements of cerebral volumetric strain in 8 healthy subjects, and internally validated these measurements by comparing them to spinal CSF stroke volumes obtained in the same scan session.Peak volumetric strain was found to be highly repeatable between scan sessions. First/second measured peak volumetric strains were: (6.4 ± 1.7)x10−4/(6.7 ± 1.6)...
Source: NeuroImage - December 14, 2019 Category: Neuroscience Source Type: research
RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields
Publication date: Available online 11 February 2020Source: NeuroImageAuthor(s): Gaoxiang Chen, Qun Li, Fuqian Shi, Islem Rekik, Li Wang, Zhifang PanSegmentation of brain lesions from magnetic resonance images (MRI) is an important step for disease diagnosis, surgical planning, radiotherapy and chemotherapy. However, due to noise, motion, and partial volume effects, automated segmentation of lesions from MRI is still a challenging task. In this paper, we propose a two-stage supervised learning framework for automatic brain lesion segmentation. Specifically, in the first stage, intensity-based statistical features, template-...
Source: NeuroImage - February 11, 2020 Category: Neuroscience Source Type: research
Association between White Matter Hyperintensities and Stroke in a West African Patient Population: Evidence from the Stroke Investigative Research and Educational Network Study
Publication date: Available online 7 April 2020Source: NeuroImageAuthor(s): Jingfei Li, Godwin Ogbole, Benjamin Aribisala, Murtala Affini, Joseph Yaria, Issa Kehinde, Alade Rahman, Fakunle Adekunle, Rasaq Banjo, Moyinoluwalogo Faniyan, Mayowa Owolabi, Steffen Sammet
Source: NeuroImage - April 9, 2020 Category: Neuroscience Source Type: research
Regional quantification of cerebral venous oxygenation from MRI susceptibility during hypercapnia
Publication date: 1 January 2015 Source:NeuroImage, Volume 104 Author(s): Audrey P. Fan , Karleyton C. Evans , Jeffrey N. Stout , Bruce R. Rosen , Elfar Adalsteinsson There is an unmet medical need for noninvasive imaging of regional brain oxygenation to manage stroke, tumor, and neurodegenerative diseases. Oxygenation imaging from magnetic susceptibility in MRI is a promising new technique to measure local venous oxygen extraction fraction (OEF) along the cerebral venous vasculature. However, this approach has not been tested in vivo at different levels of oxygenation. The primary goal of this study was to test whether ...
Source: NeuroImage - November 4, 2014 Category: Neuroscience Source Type: research
Daily iTBS worsens hand motor training — A combined TMS, fMRI and mirror training study
Conclusion We suggest the inter-regional functional balance was affected by daily iTBS over dPMCright. Maybe an inter-regional connectivity within a network is differentially balanced. An excitability increase within an inhibitory-balanced network would therefore disturb the underlying network.
Source: NeuroImage - December 28, 2014 Category: Neuroscience Source Type: research
Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality
Publication date: 1 May 2015 Source:NeuroImage, Volume 111 Author(s): Mathias Vukelić , Alireza Gharabaghi Neurofeedback of self-regulated brain activity in circumscribed cortical regions is used as a novel strategy to facilitate functional restoration following stroke. Basic knowledge about its impact on motor system oscillations and functional connectivity is however scarce. Specifically, a direct comparison between different feedback modalities and their neural signatures is missing. We assessed a neurofeedback training intervention of modulating β-activity in circumscribed sensorimotor regions by kinesthetic motor ...
Source: NeuroImage - February 22, 2015 Category: Neuroscience Source Type: research
Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study
Publication date: 1 August 2015 Source:NeuroImage, Volume 116 Author(s): Catharina Zich , Stefan Debener , Maarten De Vos , Stella Frerichs , Stefanie Maurer , Cornelia Kranczioch The mental practice of movements has been suggested as a promising add-on therapy to facilitate motor recovery after stroke. In the case of mentally practised movements, electroencephalogram (EEG) can be utilized to provide feedback about an otherwise covert act. The main target group for such an intervention are elderly patients, though research so far is largely focused on young populations (<30years). The present study therefore aimed...
Source: NeuroImage - May 25, 2015 Category: Neuroscience Source Type: research
fMRI and MRS measures of neuroplasticity in the pharyngeal motor cortex
Conclusion Targeted PAS applied to the human pharyngeal motor cortex induces local and remote changes in both primary and non-primary areas for water and saliva tasks. There is a possibility that changes of the inhibitory neurotransmitter, GABA, may play a role in the changes in BOLD signal. These findings provide evidence for the mechanisms underlying the beneficial effects of PAS on the brain swallowing network.
Source: NeuroImage - May 29, 2015 Category: Neuroscience Source Type: research
Effects of lesions on synchrony and metastability in cortical networks
Publication date: Available online 3 June 2015 Source:NeuroImage Author(s): František Váša , Murray Shanahan , Peter J. Hellyer , Gregory Scott , Joana Cabral , Robert Leech At the macroscopic scale, the human brain can be described as a complex network of white matter tracts integrating grey matter assemblies — the human connectome. The structure of the connectome, which is often described using graph theoretic approaches, can be used to model macroscopic brain function at low computational cost. Here, we use the Kuramoto model of coupled oscillators with time-delays, calibrated with respect to empirical functional...
Source: NeuroImage - June 7, 2015 Category: Neuroscience Source Type: research
