1,209 results match your criteria Brain Topography[Journal]


The Statistics of EEG Unipolar References: Derivations and Properties.

Brain Topogr 2019 Apr 10. Epub 2019 Apr 10.

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.

In this brief communication, which complements the EEG reference review (Yao et al. in Brain Topogr, 2019), we provide the mathematical derivations that show: (1) any EEG reference admits the general form of a linear transformation of the ideal multichannel EEG potentials with reference to infinity; (2) the average reference (AR), the reference electrode standardization technique (REST), and its regularized version (rREST) are solving the linear inverse problems that can be derived from both the maximum likelihood estimate (MLE) and the Bayesian theory; however, REST is based on more informative prior/constraint of volume conduction than that of AR; (3) we show for the first time that REST is also a unipolar reference (UR), allowing us to define a general family of URs with unified notations; (4) some notable properties of URs are 'no memory', 'rank deficient by 1', and 'orthogonal projector centering'; (5) we also point out here, for the first time, that rREST provides the optimal interpolating function that can be used when the reference channel is missing or the 'bad' channels are rejected. The derivations and properties imply that: (a) any two URs can transform to each other and referencing with URs multiple times will not accumulate artifacts; (b) whatever URs the EEG data was previously transformed with, the minimum norm solution to the reference problem will be REST and AR with and without modeling volume conduction, respectively; (c) the MLE and the Bayesian theory show the theoretical optimality of REST. Read More

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http://dx.doi.org/10.1007/s10548-019-00706-yDOI Listing

Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources.

Brain Topogr 2019 Apr 10. Epub 2019 Apr 10.

Department of Data Analysis, Faculty of Psychology and Educational Sciences, University of Ghent, 2 Henri Dunantlaan, 9000, Ghent, Belgium.

Electrical activity recorded on the scalp using electroencephalography (EEG) results from the mixing of signals originating from different regions of the brain as well as from artifactual sources. In order to investigate the role of distinct brain areas in a given experiment, the signal recorded on the sensors is typically projected back into the brain (source reconstruction) using algorithms that address the so-called EEG "inverse problem". Once the activity of sources located inside of the brain has been reconstructed, it is often desirable to study the statistical dependencies among them, in particular to quantify directional dynamical interactions between brain areas. Read More

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http://link.springer.com/10.1007/s10548-019-00705-z
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http://dx.doi.org/10.1007/s10548-019-00705-zDOI Listing
April 2019
10 Reads

Functional and structural asymmetry in primary motor cortex in Asperger syndrome: a navigated TMS and imaging study.

Brain Topogr 2019 Apr 4. Epub 2019 Apr 4.

Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.

Motor functions are frequently impaired in Asperger syndrome (AS). In this study, we examined the motor cortex structure and function using navigated transcranial magnetic stimulation (nTMS) and voxel-based morphometry (VBM) and correlated the results with the box and block test (BBT) of manual dexterity and physical activity in eight boys with AS, aged 8-11 years, and their matched controls. With nTMS, we found less focused cortical representation areas of distinct hand muscles in AS. Read More

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http://dx.doi.org/10.1007/s10548-019-00704-0DOI Listing
April 2019
3 Reads

MEG Assessment of Expressive Language in Children Evaluated for Epilepsy Surgery.

Brain Topogr 2019 Mar 20. Epub 2019 Mar 20.

Aston Brain Centre, School of Life and Health Sciences, Aston University, Birmingham, UK.

Establishing language dominance is an important step in the presurgical evaluation of patients with refractory epilepsy. In the absence of a universally accepted gold-standard non-invasive method to determine language dominance in the preoperative assessment, a range of tools and methodologies have recently received attention. When applied to pediatric age, many of the proposed methods, such as functional magnetic resonance imaging (fMRI), may present some challenges due to the time-varying effects of epileptogenic lesions and of on-going seizures on maturational phenomena. Read More

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http://link.springer.com/10.1007/s10548-019-00703-1
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http://dx.doi.org/10.1007/s10548-019-00703-1DOI Listing
March 2019
9 Reads

Spatially Overlapping Regions Show Abnormal Thalamo-frontal Circuit and Abnormal Precuneus in Disorders of Consciousness.

Brain Topogr 2019 Feb 1. Epub 2019 Feb 1.

Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, People's Republic of China.

Understanding the neural mechanisms of disorders of consciousness (DOC) is essential for estimating the conscious level and diagnosing DOC patients. Although previous studies reported brain functional connectivity (FC) and spontaneous neural activity patterns associated with consciousness, the relationship between them remains unclear. In this study, we identified the abnormal brain regions in DOC patients by performing voxel-wise FC strength (FCS) and fractional amplitude of low-frequency fluctuations (fALFF) analyses on resting-state functional magnetic resonance imaging data of 15 DOC patients and 24 healthy controls. Read More

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http://dx.doi.org/10.1007/s10548-018-0693-0DOI Listing
February 2019
1 Read

Slow Theta tACS of the Right Parietal Cortex Enhances Contralateral Visual Working Memory Capacity.

Brain Topogr 2019 Jan 29. Epub 2019 Jan 29.

Department of Psychology, Ludwig-Maximilians-Universität München, Leopoldstr. 13, 80802, Munich, Germany.

Recent research suggests alteration of visual working memory capacity by modulation of parietal theta frequency via transcranial alternating current stimulation (tACS). However, it remains to be clarified whether this effect is partly driven by co-stimulation of prefrontal cortex and subcortical structures. It was hypothesized that focal tACS over the parietal lobe without additional prefrontal or subcortical stimulation should lead to similar effects as reported in the literature. Read More

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http://dx.doi.org/10.1007/s10548-019-00702-2DOI Listing
January 2019

Altered Oscillatory Responses to Feedback in Borderline Personality Disorder are Linked to Symptom Severity.

Brain Topogr 2019 Jan 28. Epub 2019 Jan 28.

Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg Eppendorf, Hamburg, Germany.

Several studies using electroencephalography (EEG) demonstrate that the processing of feedback in patients suffering from borderline personality disorder (BPD) is altered in comparison to healthy controls. Differences occur in the theta (ca. 5 Hz) and high-beta frequency-ranges (ca. Read More

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http://dx.doi.org/10.1007/s10548-019-00700-4DOI Listing
January 2019
3 Reads

Multi-Scale Neural Sources of EEG: Genuine, Equivalent, and Representative. A Tutorial Review.

Brain Topogr 2019 03 25;32(2):193-214. Epub 2019 Jan 25.

Department of Cognitive Science, University of California at Irvine, Irvine, CA, 92617, USA.

A biophysical framework needed to interpret electrophysiological data recorded at multiple spatial scales of brain tissue is developed. Micro current sources at membrane surfaces produce local field potentials, electrocorticography, and electroencephalography (EEG). We categorize multi-scale sources as genuine, equivalent, or representative. Read More

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http://dx.doi.org/10.1007/s10548-019-00701-3DOI Listing
March 2019
2 Reads

Towards the Neuromotor Control Processes of Steady-State and Speed-Matched Treadmill and Overground Walking.

Brain Topogr 2019 Jan 24. Epub 2019 Jan 24.

Institute III, Department of Sport Science, Otto von Guericke University Magdeburg, Zschokkestraße 32, 39104, Magdeburg, Germany.

The neuromotor control of walking relies on a network of subcortical and cortical structures. While kinematic differences between treadmill and overground walking are extensively studied, the neuromotor control processes are still relatively unknown. Hence, this study aims to investigate cortical activation during steady-state treadmill and overground walking using functional near-infrared spectroscopy, inertial measurement units and a heart rate monitor. Read More

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http://dx.doi.org/10.1007/s10548-019-00699-8DOI Listing
January 2019

Cortical Inhibition of Face and Jaw Muscle Activity and Discomfort Induced by Repetitive and Paired-Pulse TMS During an Overt Object Naming Task.

Brain Topogr 2019 Jan 23. Epub 2019 Jan 23.

Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.

Modulatory effects of transcranial magnetic stimulation (TMS) strongly depend on the stimulation parameters. Here, we compared the immediate, task-locked inhibitory effects on speech-related muscles and the tolerability of different TMS protocols during a language production task. Repetitive TMS (rTMS) and paired-pulse TMS (PP) were applied in 13 healthy subjects over the primary motor cortex (M1) during a finger-tapping/tongue-twisting tasks. Read More

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http://dx.doi.org/10.1007/s10548-019-00698-9DOI Listing
January 2019
2 Reads

Characterization of Autism Spectrum Disorder across the Age Span by Intrinsic Network Patterns.

Brain Topogr 2019 Jan 18. Epub 2019 Jan 18.

Diagnostic Imaging, Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.

Autism spectrum disorder (ASD) is characterized by abnormal functional organization of brain networks, which may underlie the cognitive and social impairments observed in affected individuals. The present study characterizes unique intrinsic connectivity within- and between- neural networks in children through to adults with ASD, relative to controls. Resting state fMRI data were analyzed in 204 subjects, 102 with ASD and 102 age- and sex-matched controls (ages 7-40 years), acquired on a single scanner. Read More

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http://link.springer.com/10.1007/s10548-019-00697-w
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http://dx.doi.org/10.1007/s10548-019-00697-wDOI Listing
January 2019
9 Reads

Cortical Signal Suppression (CSS) for Detection of Subcortical Activity Using MEG and EEG.

Brain Topogr 2019 03 3;32(2):215-228. Epub 2019 Jan 3.

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.

Magnetoencephalography (MEG) and electroencephalography (EEG) use non-invasive sensors to detect neural currents. Since the contribution of superficial neural sources to the measured M/EEG signals are orders-of-magnitude stronger than the contribution of subcortical sources, most MEG and EEG studies have focused on cortical activity. Subcortical structures, however, are centrally involved in both healthy brain function as well as in many neurological disorders such as Alzheimer's disease and Parkinson's disease. Read More

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http://dx.doi.org/10.1007/s10548-018-00694-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374174PMC
March 2019
1 Read

Single-Trial Recognition of Imagined Forces and Speeds of Hand Clenching Based on Brain Topography and Brain Network.

Brain Topogr 2019 03 31;32(2):240-254. Epub 2018 Dec 31.

School of Automation and Information Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China.

To provide optional force and speed control parameters for brain-computer interfaces (BCIs), an effective feature extraction method of imagined force and speed of hand clenching based on electroencephalography (EEG) was explored. Twenty subjects were recruited to participate in the experiment. They were instructed to perform three different actual/imagined hand clenching force tasks (4 kg, 10 kg, and 16 kg) and three different hand clenching speed tasks (0. Read More

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http://dx.doi.org/10.1007/s10548-018-00696-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373301PMC
March 2019
1 Read

Effects of Acoustic Paired Associative Stimulation on Late Auditory Evoked Potentials.

Brain Topogr 2018 Dec 24. Epub 2018 Dec 24.

Department of Psychiatry and Psychotherapy, University of Regensburg, Universitätsstraße 84, 93053, Regensburg, Germany.

Paired associative stimulation (PAS), a form of non-invasive cortical stimulation pairing transcranial magnetic stimulation (TMS) with a peripheral sensory stimulus, has been shown to induce neuroplastic effects in the human motor, somatosensory and auditory cortex. The current study investigated the effects of acoustic PAS on late auditory evoked potentials (LAEP) and the influence of tone duration and placebo stimulation. In two experiments, 18 participants underwent a PAS with a 4 kHz paired tone of 400 ms duration using 200 pairs of stimuli (TMS-pulse over the left auditory cortex 45 ms after tone-onset) presented at 0. Read More

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http://dx.doi.org/10.1007/s10548-018-00695-4DOI Listing
December 2018
10 Reads

A Comparison of Evoked and Non-evoked Functional Networks.

Brain Topogr 2018 Dec 6. Epub 2018 Dec 6.

Department of Applied Mathematics, MIRA Institute for Biomedical Engineering and Technical Medicine, University of Twente, Drienerlolaan 5, 7500 AE, Enschede, The Netherlands.

The growing interest in brain networks to study the brain's function in cognition and diseases has produced an increase in methods to extract these networks. Typically, each method yields a different network. Therefore, one may ask what the resulting networks represent. Read More

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http://dx.doi.org/10.1007/s10548-018-0692-1DOI Listing
December 2018

Estimating EEG Source Dipole Orientation Based on Singular-value Decomposition for Connectivity Analysis.

Brain Topogr 2018 Dec 3. Epub 2018 Dec 3.

Functional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, Campus Biotech, Chemin des Mines 9, 1202, Geneva, Switzerland.

In the last decade, the use of high-density electrode arrays for EEG recordings combined with the improvements of source reconstruction algorithms has allowed the investigation of brain networks dynamics at a sub-second scale. One powerful tool for investigating large-scale functional brain networks with EEG is time-varying effective connectivity applied to source signals obtained from electric source imaging. Due to computational and interpretation limitations, the brain is usually parcelled into a limited number of regions of interests (ROIs) before computing EEG connectivity. Read More

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http://dx.doi.org/10.1007/s10548-018-0691-2DOI Listing
December 2018
2 Reads

Transient Topographical Dynamics of the Electroencephalogram Predict Brain Connectivity and Behavioural Responsiveness During Drowsiness.

Brain Topogr 2019 03 29;32(2):315-331. Epub 2018 Nov 29.

Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.

As we fall sleep, our brain traverses a series of gradual changes at physiological, behavioural and cognitive levels, which are not yet fully understood. The loss of responsiveness is a critical event in the transition from wakefulness to sleep. Here we seek to understand the electrophysiological signatures that reflect the loss of capacity to respond to external stimuli during drowsiness using two complementary methods: spectral connectivity and EEG microstates. Read More

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http://dx.doi.org/10.1007/s10548-018-0689-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373294PMC
March 2019
1 Read

Time Effects on Resting EEG in Children With/Without AD/HD.

Brain Topogr 2019 03 29;32(2):286-294. Epub 2018 Nov 29.

Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.

In this study we extend on behavioural evidence to examine the effect of time on EEG measures related to arousal and emotion/motivation in children with/without AD/HD. Thirty children with AD/HD and 30 age- and sex-matched controls participated. EEG was recorded during an eyes-closed resting condition and divided into three 2. Read More

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http://link.springer.com/10.1007/s10548-018-0690-3
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http://dx.doi.org/10.1007/s10548-018-0690-3DOI Listing
March 2019
10 Reads

Brain Network Reconfiguration During Motor Imagery Revealed by a Large-Scale Network Analysis of Scalp EEG.

Brain Topogr 2019 03 24;32(2):304-314. Epub 2018 Nov 24.

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, Sichuan, China.

Mentally imagining rather physically executing the motor behaviors is defined as motor imagery (MI). During MI, the mu rhythmical oscillation of cortical neurons is the event-related desynchronization (ERD) subserving the physiological basis of MI-based brain-computer interface. In our work, we investigated the specific brain network reconfiguration from rest idle to MI task states, and also probed the underlying relationship between the brain network reconfiguration and MI related ERD. Read More

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http://link.springer.com/10.1007/s10548-018-0688-x
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http://dx.doi.org/10.1007/s10548-018-0688-xDOI Listing
March 2019
14 Reads

Change-Driven M100 Component in the Bilateral Secondary Somatosensory Cortex: A Magnetoencephalographic Study.

Brain Topogr 2018 Nov 15. Epub 2018 Nov 15.

Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan.

Our previous demonstration that the M100 somatosensory evoked magnetic field (SEF) has a similar temporal profile, dipole orientation and source location whether induced by activation (ON-M100) or deactivation (OFF-M100) of electrical stimulation suggests a common cortical system to detect sensory change. While we have not recorded such change-driven components earlier than M100 using electrical stimulation, clear M50 responses were reported using both ON and OFF mechanical stimulation (Onishi et al. in Clin Neurophysiol 121:588-593, 2010). Read More

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http://dx.doi.org/10.1007/s10548-018-0687-yDOI Listing
November 2018

Exploratory Study of Low Resolution Electromagnetic Tomography (LORETA) Real-Time Z-Score Feedback in the Treatment of Pain in Patients with Head and Neck Cancer.

Brain Topogr 2019 03 13;32(2):283-285. Epub 2018 Nov 13.

Department of Palliative, Rehabilitation, and Integrative Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1414, FCT5.6006, Houston, TX, 77030, USA.

Acute pain from mucositis in patients with head and neck cancer (HNC) undergoing radiation therapy (RT) is common, and may not respond well to narcotics. We used low resolution electromagnetic tomography z-score neurofeedback (LFBz) to investigate whether patients could modify brain wave activity associated with acute pain and whether this would reduce the experience of pain. HNC patients scheduled for RT had baseline pre-pain onset measures (EEG and numeric rating scale) collected before RT and then at pain onset before using analgesics, after each LFBz session and at the end of RT. Read More

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http://link.springer.com/10.1007/s10548-018-0686-z
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http://dx.doi.org/10.1007/s10548-018-0686-zDOI Listing
March 2019
18 Reads

Repetitive Transcranial Magnetic Stimulation Over the Left Posterior Middle Temporal Gyrus Reduces Wrist Velocity During Emblematic Hand Gesture Imitation.

Brain Topogr 2019 03 8;32(2):332-341. Epub 2018 Nov 8.

School of Psychology, University of Nottingham, Nottingham, UK.

Results from neuropsychological studies, and neuroimaging and behavioural experiments with healthy individuals, suggest that the imitation of meaningful and meaningless actions may be reliant on different processing routes. The left posterior middle temporal gyrus (pMTG) is one area that might be important for the recognition and imitation of meaningful actions. We studied the role of the left pMTG in imitation using repetitive transcranial magnetic stimulation (rTMS) and two-person motion-tracking. Read More

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http://link.springer.com/10.1007/s10548-018-0684-1
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http://dx.doi.org/10.1007/s10548-018-0684-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373290PMC
March 2019
18 Reads

Aberrant Intrinsic Brain Activity in Patients with Autism Spectrum Disorder: Insights from EEG Microstates.

Brain Topogr 2019 03 31;32(2):295-303. Epub 2018 Oct 31.

Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, Jiangsu, China.

Autism spectrum disorder (ASD) involves aberrant organization and functioning of large-scale brain networks. The aim of this study was to examine whether the resting-state EEG microstate analysis could provide novel insights into the abnormal temporal and spatial properties of intrinsic brain activities in patients with ASD. To achieve this goal, EEG microstate analysis was conducted on the resting-state EEG datasets of 15 patients with ASD and 18 healthy controls from the Healthy Brain Network. Read More

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http://dx.doi.org/10.1007/s10548-018-0685-0DOI Listing

A Finite-Difference Solution for the EEG Forward Problem in Inhomogeneous Anisotropic Media.

Brain Topogr 2019 03 19;32(2):229-239. Epub 2018 Oct 19.

Research Center for Motor Control and Neuroplasticity, KU Leuven, Tervuursevest 101, 3001, Leuven, Belgium.

Accurate source localization of electroencephalographic (EEG) signals requires detailed information about the geometry and physical properties of head tissues. Indeed, these strongly influence the propagation of neural activity from the brain to the sensors. Finite difference methods (FDMs) are head modelling approaches relying on volumetric data information, which can be directly obtained using magnetic resonance (MR) imaging. Read More

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http://link.springer.com/10.1007/s10548-018-0683-2
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http://dx.doi.org/10.1007/s10548-018-0683-2DOI Listing
March 2019
20 Reads

Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics.

Brain Topogr 2019 03 19;32(2):255-270. Epub 2018 Oct 19.

Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, Athens, GA, USA.

Exploration of brain dynamics patterns has attracted increasing attention due to its fundamental significance in understanding the working mechanism of the brain. However, due to the lack of effective modeling methods, how the simultaneously recorded LFP can inform us about the brain dynamics remains a general challenge. In this paper, we propose a novel sparse coding based method to investigate brain dynamics of freely-behaving mice from the perspective of functional connectivity, using super-long local field potential (LFP) recordings from 13 distinct regions of the mouse brain. Read More

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http://dx.doi.org/10.1007/s10548-018-0682-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374165PMC
March 2019
2 Reads

Abnormal Functional Connectivity Density in Post-Stroke Aphasia.

Brain Topogr 2019 03 6;32(2):271-282. Epub 2018 Oct 6.

MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.

Post-stroke aphasia (PSA), which refers to the loss or impairment of language, is typically caused by left hemisphere lesions. Previous neuroimaging studies have indicated that the pathology of PSA may be related to abnormalities in functional integration. In this study, we used resting-state functional magnetic resonance imaging (rs-fMRI) to examine functional connectivity density (FCD) in PSA. Read More

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http://link.springer.com/10.1007/s10548-018-0681-4
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http://dx.doi.org/10.1007/s10548-018-0681-4DOI Listing
March 2019
25 Reads

Ictal Source Locations and Cortico-Thalamic Connectivity in Childhood Absence Epilepsy: Associations with Treatment Response.

Brain Topogr 2019 01 5;32(1):178-191. Epub 2018 Oct 5.

Department of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Guang Zhou Road 264, Nanjing, 210029, Jiangsu, China.

Childhood absence epilepsy (CAE), the most common pediatric epilepsy syndrome, is usually treated with valproic acid (VPA) and lamotrigine (LTG) in China. This study aimed to investigate the ictal source locations and functional connectivity (FC) networks between the cortices and thalamus that are related to treatment response. Magnetoencephalography (MEG) data from 25 patients with CAE were recorded at 300 Hz and analyzed in 1-30 Hz frequency bands. Read More

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http://link.springer.com/10.1007/s10548-018-0680-5
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http://dx.doi.org/10.1007/s10548-018-0680-5DOI Listing
January 2019
1 Read

The Time Course of Dorsal and Rostral-Ventral Anterior Cingulate Cortex Activity in the Emotional Stroop Experiment Reveals Valence and Arousal Aberrant Modulation in Patients with Schizophrenia.

Brain Topogr 2019 01 4;32(1):161-177. Epub 2018 Oct 4.

Psychiatry Neuroimaging Branch (PNB), Department of Psychiatry and Psychotherapy, University Medical Center Hamburg - Eppendorf, 20246, Hamburg, Germany.

This paper aims to investigate the temporal dynamics within the dorsal anterior cingulate cortex (dACC) and the rostral-ventral (rv) ACC during the interaction of emotional valence and arousal with cognitive control in patients with Schizophrenia (SZ). Although cognitive deficits in SZ are highly relevant and emotional disturbances are common, the temporal relationship of brain regions involved in the interaction of emotional and cognitive processing in SZ is yet to be determined. To address this issue, the reaction time (RT), event-related potential (ERP) and temporal dynamics of the dACC and rvACC activity were compared between SZ subjects and healthy controls (HC), using a modified emotional Stroop experiment (with factors namely congruence, arousal and valence). Read More

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http://dx.doi.org/10.1007/s10548-018-0677-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327077PMC
January 2019

Understanding Individual Differences in Domain-General Prosociality: A Resting EEG Study.

Brain Topogr 2019 01 28;32(1):118-126. Epub 2018 Sep 28.

Department of Social Psychology and Social Neuroscience, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012, Bern, Switzerland.

Prosocial behavior is of vital importance for the smooth functioning of society. However, the propensity to behave in a prosocial manner is characterized by vast individual differences. In order to reveal the sources of these differences, some studies have used objective, task-independent neural traits, for instance resting electroencephalography (EEG). Read More

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http://link.springer.com/10.1007/s10548-018-0679-y
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http://dx.doi.org/10.1007/s10548-018-0679-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327080PMC
January 2019
14 Reads

Altered Dynamic Functional Network Connectivity in Frontal Lobe Epilepsy.

Brain Topogr 2018 Sep 25. Epub 2018 Sep 25.

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and technology, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu, 610054, People's Republic of China.

Frontal lobe epilepsy has recently been associated with disrupted brain functional connectivity; variations among various resting-state networks (RSNs) across time remains largely unclear. This study applied dynamic functional network connectivity (dFNC) analysis to investigate functional patterns in the temporal and spatial domains of various functional systems in FLE. Resting-state fMRI data were acquired from 19 FLE patients and 18 controls. Read More

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http://link.springer.com/10.1007/s10548-018-0678-z
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http://dx.doi.org/10.1007/s10548-018-0678-zDOI Listing
September 2018
8 Reads

Repeated Vowel Production Affects Features of Neural Activity in Sensorimotor Cortex.

Brain Topogr 2019 01 20;32(1):97-110. Epub 2018 Sep 20.

Brain Center Rudolf Magnus, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.

The sensorimotor cortex is responsible for the generation of movements and interest in the ability to use this area for decoding speech by brain-computer interfaces has increased recently. Speech decoding is challenging however, since the relationship between neural activity and motor actions is not completely understood. Non-linearity between neural activity and movement has been found for instance for simple finger movements. Read More

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http://dx.doi.org/10.1007/s10548-018-0673-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326960PMC
January 2019

Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition.

Brain Topogr 2019 Jan 11;32(1):142-160. Epub 2018 Sep 11.

Brain and Mind Research Programme, CEITEC Masaryk University, Brno, Czech Republic.

Using MRI, a characteristic pattern of grey matter (GM) atrophy has been described in the early stages of Alzheimer's disease (AD); GM patterns at different stages of Parkinson's disease (PD) have been inconclusive. Few studies have directly compared structural changes in groups with mild cognitive impairment (MCI) caused by different pathologies (AD, PD). We used several analytical methods to determine GM changes at different stages of both PD and AD. Read More

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http://dx.doi.org/10.1007/s10548-018-0675-2DOI Listing
January 2019
18 Reads

Grey Matter Volumes in the Executive Attention System Predict Individual Differences in Effortful Control in Young Adults.

Brain Topogr 2019 01 10;32(1):111-117. Epub 2018 Sep 10.

Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China.

Effortful control (EC), considered as one component of temperament, describes an individual's capacity for self-regulation. Previous neuroimaging studies have provided convergent evidence that individual differences in EC are determined by the functioning of neural systems subserving executive attention, primarily comprising the anterior cingulate cortex (ACC) and the lateral prefrontal cortex (PFC). Notwithstanding, as previous neuroimaging findings highlighted the structural neural bases of EC in adolescence, during which the PFC is prominently remodeled, the underlying neuroanatomical substrates of EC remain uncertain in young adults. Read More

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http://link.springer.com/10.1007/s10548-018-0676-1
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http://dx.doi.org/10.1007/s10548-018-0676-1DOI Listing
January 2019
4 Reads

Cortical Network Topology in Prodromal and Mild Dementia Due to Alzheimer's Disease: Graph Theory Applied to Resting State EEG.

Brain Topogr 2019 01 25;32(1):127-141. Epub 2018 Aug 25.

Department of Neuroscience, Imaging and Clinical Science, "G. d'Annunzio" University, Via Luigi Polacchi, 66013, Chieti, Italy.

Graph theory analysis on resting state electroencephalographic rhythms disclosed topological properties of cerebral network. In Alzheimer's disease (AD) patients, this approach showed mixed results. Granger causality matrices were used as input to the graph theory allowing to estimate the strength and the direction of information transfer between electrode pairs. Read More

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http://dx.doi.org/10.1007/s10548-018-0674-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326972PMC
January 2019
4 Reads

Behavioral and Health Correlates of Resting-State Metastability in the Human Connectome Project.

Brain Topogr 2019 01 22;32(1):80-86. Epub 2018 Aug 22.

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY, 10029, USA.

Metastability is currently considered a fundamental property of the functional configuration of brain networks. The present study sought to generate a normative reference framework for the metastability of the major resting-state networks (RSNs) (resting-state metastability dataset) and discover their association with demographic, behavioral, physical and cognitive features (non-imaging dataset) from 818 participants of the Human Connectome Project. Using sparse canonical correlation analysis, we found that the metastability and non-imaging datasets showed significant but modest interdependency. Read More

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http://dx.doi.org/10.1007/s10548-018-0672-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326990PMC
January 2019

Brain Activity Mapping from MEG Data via a Hierarchical Bayesian Algorithm with Automatic Depth Weighting.

Brain Topogr 2018 Aug 18. Epub 2018 Aug 18.

Department of Basic and Applied Science for Engineering, University of Rome "La Sapienza", Via Scarpa 16, 00161, Rome, Italy.

A recently proposed iterated alternating sequential (IAS) MEG inverse solver algorithm, based on the coupling of a hierarchical Bayesian model with computationally efficient Krylov subspace linear solver, has been shown to perform well for both superficial and deep brain sources. However, a systematic study of its ability to correctly identify active brain regions is still missing. We propose novel statistical protocols to quantify the performance of MEG inverse solvers, focusing in particular on how their accuracy and precision at identifying active brain regions. Read More

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http://link.springer.com/10.1007/s10548-018-0670-7
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http://dx.doi.org/10.1007/s10548-018-0670-7DOI Listing
August 2018
21 Reads

Electrophysiological Signatures of Intrinsic Functional Connectivity Related to rTMS Treatment for Mal de Debarquement Syndrome.

Brain Topogr 2018 11 11;31(6):1047-1058. Epub 2018 Aug 11.

Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA.

To determine intrinsic functional connectivity (IFC) related to symptom changes induced by rTMS in mal de debarquement syndrome (MdDS), a motion perceptual disorder induced by entrainment to oscillating motion. Twenty right-handed women (mean age: 52.9 ± 12. Read More

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http://link.springer.com/10.1007/s10548-018-0671-6
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http://dx.doi.org/10.1007/s10548-018-0671-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182441PMC
November 2018
18 Reads

Theta-Band Oscillations as an Indicator of Mild Traumatic Brain Injury.

Brain Topogr 2018 11 10;31(6):1037-1046. Epub 2018 Aug 10.

Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, P.O. Box 12200, 00076, Aalto, Espoo, Finland.

Mild traumatic brain injury (mTBI) patients continue to pose a diagnostic challenge due to their diverse symptoms without trauma-specific changes in structural imaging. We addressed here the possible early changes in spontaneous oscillatory brain activity after mTBI, and their feasibility as an indicator of injury in clinical evaluation. We recorded resting-state magnetoencephalography (MEG) data in both eyes-open and eyes-closed conditions from 26 patients (11 females and 15 males, aged 20-59) with mTBI 6 days-6 months after the injury, and compared their spontaneous oscillatory activity to corresponding data from 139 healthy controls. Read More

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http://dx.doi.org/10.1007/s10548-018-0667-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182433PMC
November 2018
7 Reads

A Blind Module Identification Approach for Predicting Effective Connectivity Within Brain Dynamical Subnetworks.

Brain Topogr 2019 01 4;32(1):28-65. Epub 2018 Aug 4.

Department of Psychiatry, American University of Beirut, Beirut, Lebanon.

Model-based network discovery measures, such as the brain effective connectivity, require fitting of generative process models to measurements obtained from key areas across the network. For distributed dynamic phenomena, such as generalized seizures and slow-wave sleep, studying effective connectivity from real-time recordings is significantly complicated since (i) outputs from only a subnetwork can be practically measured, and (ii) exogenous subnetwork inputs are unobservable. Model fitting, therefore, constitutes a challenging blind module identification or model inversion problem for finding both the parameters and the many unknown inputs of the subnetwork. Read More

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http://dx.doi.org/10.1007/s10548-018-0666-3DOI Listing
January 2019
4 Reads

Improved Back-Projection Cortical Potential Imaging by Multi-resolution Optimization Technique.

Brain Topogr 2019 01 3;32(1):66-79. Epub 2018 Aug 3.

Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Electroencephalogram (EEG) has evolved to be a well-established tool for imaging brain activity. This progress is mainly due to the development of high-resolution (HR) EEG methods. One class of HR-EEG is the cortical potential imaging (CPI), which aims to estimate the potential distribution on the cortical surface, which is much more informative than EEG. Read More

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http://dx.doi.org/10.1007/s10548-018-0668-1DOI Listing
January 2019
2 Reads

New Strategy for Finite Element Mesh Generation for Accurate Solutions of Electroencephalography Forward Problems.

Brain Topogr 2018 Aug 2. Epub 2018 Aug 2.

Department of Biomedical Engineering, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea.

The finite element method (FEM) is a numerical method that is often used for solving electroencephalography (EEG) forward problems involving realistic head models. In this study, FEM solutions obtained using three different mesh structures, namely coarse, densely refined, and adaptively refined meshes, are compared. The simulation results showed that the accuracy of FEM solutions could be significantly enhanced by adding a small number of elements around regions with large estimated errors. Read More

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http://dx.doi.org/10.1007/s10548-018-0669-0DOI Listing
August 2018
1 Read

Extraversion and Neuroticism Related to Topological Efficiency in White Matter Network: An Exploratory Study Using Diffusion Tensor Imaging Tractography.

Brain Topogr 2019 01 25;32(1):87-96. Epub 2018 Jul 25.

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

White matter (WM) fibers underpin individual differences in extraversion and neuroticism. These personality traits are associated with integration of emotion, cognition, and behavior, which rely on a large-scale brain network. Thus, research at network level is needed to characterize neural underpinnings of extraversion and neuroticism. Read More

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http://link.springer.com/10.1007/s10548-018-0665-4
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http://dx.doi.org/10.1007/s10548-018-0665-4DOI Listing
January 2019
13 Reads

Response Hand and Motor Set Differentially Modulate the Connectivity of Brain Pathways During Simple Uni-manual Motor Behavior.

Brain Topogr 2018 11 21;31(6):985-1000. Epub 2018 Jul 21.

Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Suite 5A, Tolan Park Medical Building, 3901 Chrysler Service Drive, Detroit, MI, 48201, USA.

We investigated the flexible modulation of undirected functional connectivity (uFC) of brain pathways during simple uni-manual responding. Two questions were central to our interests: (1) does response hand (dominant vs. non-dominant) differentially modulate connectivity and (2) are these effects related to responding under varying motor sets. Read More

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http://dx.doi.org/10.1007/s10548-018-0664-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289310PMC
November 2018
3 Reads

Resting Motor Threshold, MEP and TEP Variability During Daytime.

Brain Topogr 2019 01 17;32(1):17-27. Epub 2018 Jul 17.

Department of Clinical Neurophysiology, Technical Medical Centre, University of Twente, Carré CR 3.623, P.O. 217, 7500 AE, Enschede, The Netherlands.

Humans show a variation in physiological processes during the day. To reliably assess (changes in) cortical excitability with transcranial magnetic stimulation (TMS), it is relevant to know the natural variation in TMS readouts during the day. In case of significant daytime variations, this should be taken into account when scheduling (follow-up) measurements. Read More

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http://dx.doi.org/10.1007/s10548-018-0662-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326963PMC
January 2019
2 Reads

Increased Early Sensitivity to Eyes in Mouthless Faces: In Support of the LIFTED Model of Early Face Processing.

Brain Topogr 2018 11 9;31(6):972-984. Epub 2018 Jul 9.

Department of Psychology, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.

The N170 ERP component is a central neural marker of early face perception usually thought to reflect holistic processing. However, it is also highly sensitive to eyes presented in isolation and to fixation on the eyes within a full face. The lateral inhibition face template and eye detector (LIFTED) model (Nemrodov et al. Read More

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http://dx.doi.org/10.1007/s10548-018-0663-6DOI Listing
November 2018

High Frequency Oscillations in the Ripple Band (80-250 Hz) in Scalp EEG: Higher Density of Electrodes Allows for Better Localization of the Seizure Onset Zone.

Brain Topogr 2018 11 6;31(6):1059-1072. Epub 2018 Jul 6.

Department of Neuropediatrics and Muscle Diseases, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

High frequency oscillations (HFO) are known as markers of epileptic areas in intracranial EEG and possibly scalp EEG. We compared distributions of HFO in the ripple band (80-250 Hz) in intracranial and scalp EEG with either a conventional 10-20-montage (10-20-EEG) or a high density recording using 128 electrodes (HD-EEG). HFO were visually identified, in all intracranial EEG channels (80-500 Hz) and all channels of the 10-20-EEG (scalp EEG 80-250 Hz). Read More

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http://dx.doi.org/10.1007/s10548-018-0658-3DOI Listing
November 2018
9 Reads

Longitudinal Assessment of Hippocampal Atrophy in Midlife and Early Old Age: Contrasting Manual Tracing and Semi-automated Segmentation (FreeSurfer).

Brain Topogr 2018 11 4;31(6):949-962. Epub 2018 Jul 4.

Centre for Research on Ageing, Health and Wellbeing, Australian National University, Florey, Building 54, Mills Road, Canberra, ACT, 2601, Australia.

It is important to have accurate estimates of normal age-related brain structure changes and to understand how the choice of measurement technique may bias those estimates. We compared longitudinal change in hippocampal volume, laterality and atrophy measured by manual tracing and FreeSurfer (version 5.3) in middle age (n = 244, 47. Read More

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http://dx.doi.org/10.1007/s10548-018-0659-2DOI Listing
November 2018
1 Read

Efficient Mapping of the Motor Cortex with Navigated Biphasic Paired-Pulse Transcranial Magnetic Stimulation.

Brain Topogr 2018 11 3;31(6):963-971. Epub 2018 Jul 3.

Department of Clinical Neurophysiology, Kuopio University Hospital, P. O. Box 100, 70029 KYS, Kuopio, Finland.

Navigated transcranial magnetic stimulation (nTMS) can be applied to locate cortical muscle representations. Usually, single TMS pulses are targeted to the motor cortex with the help of neuronavigation and by measuring motor evoked potential (MEP) amplitudes from the peripheral muscles. The efficacy of single-pulse TMS to induce MEPs has been shown to increase by applying facilitatory paired-pulse TMS (ppTMS). Read More

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http://link.springer.com/10.1007/s10548-018-0660-9
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http://dx.doi.org/10.1007/s10548-018-0660-9DOI Listing
November 2018
4 Reads

Robust Identification of Rich-Club Organization in Weighted and Dense Structural Connectomes.

Brain Topogr 2019 01 3;32(1):1-16. Epub 2018 Jul 3.

The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia.

The human brain is a complex network, in which some brain regions, denoted as 'hub' regions, play critically important roles. Some of these hubs are highly interconnected forming a rich-club organization, which has been identified based on the degree metric from structural connectomes constructed using diffusion tensor imaging (DTI)-based fiber tractography. However, given the limitations of DTI, the yielded structural connectomes are largely compromised, possibly affecting the characterization of rich-club organizations. Read More

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http://link.springer.com/10.1007/s10548-018-0661-8
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http://dx.doi.org/10.1007/s10548-018-0661-8DOI Listing
January 2019
9 Reads
3.470 Impact Factor

Accurate Coil Positioning is Important for Single and Paired Pulse TMS on the Subject Level.

Brain Topogr 2018 11 25;31(6):917-930. Epub 2018 Jun 25.

Department of Clinical Neurophysiology, Technical Medical Centre, University of Twente, Carré 3.714, P.O. Box 217, 7500 AE, Enschede, The Netherlands.

Function-guided navigation is commonly used when assessing cortical excitability using transcranial magnetic stimulation (TMS). However, the required accuracy, stability and the effect of a change in coil positioning are not entirely known. This study investigates the accuracy of function-guided navigation for determining the hotspot. Read More

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http://dx.doi.org/10.1007/s10548-018-0655-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182440PMC
November 2018
3 Reads