10 results match your criteria: "Ghent University-iMinds Medical IT department[Affiliation]"

Objective: We investigated the performance of automatic spike detection and subsequent electroencephalogram (EEG) source imaging to localize the epileptogenic zone (EZ) from long-term EEG recorded during video-EEG monitoring.

Methods: In 32 patients, spikes were automatically detected in the EEG and clustered according to their morphology. The two spike clusters with most single events in each patient were averaged and localized in the brain at the half-rising time and peak of the spike using EEG source imaging.

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When will a stuttering moment occur? The determining role of speech motor preparation.

Neuropsychologia

June 2016

Department of Internal Medicine, Neurology, Ghent University, Ghent University Hospital, De Pintelaan 185, 1K12A, B-9000 Ghent, Belgium; Department of Neurology, Ghent University Hospital, De Pintelaan 185, 1K12A, B-Ghent, Belgium. Electronic address:

The present study aimed to evaluate whether increased activity related to speech motor preparation preceding fluently produced words reflects a successful compensation strategy in stuttering. For this purpose, a contingent negative variation (CNV) was evoked during a picture naming task and measured by use of electro-encephalography. A CNV is a slow, negative event-related potential known to reflect motor preparation generated by the basal ganglia-thalamo-cortical (BGTC) - loop.

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We investigated the influence of different skull modeling approaches on EEG source imaging (ESI), using data of six patients with refractory temporal lobe epilepsy who later underwent successful epilepsy surgery. Four realistic head models with different skull compartments, based on finite difference methods, were constructed for each patient: (i) Three models had skulls with compact and spongy bone compartments as well as air-filled cavities, segmented from either computed tomography (CT), magnetic resonance imaging (MRI) or a CT-template and (ii) one model included a MRI-based skull with a single compact bone compartment. In all patients we performed ESI of single and averaged spikes marked in the clinical 27-channel EEG by the epileptologist.

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Computed tomography (CT) is the standard imaging modality in radiation therapy treatment planning (RTP). However, magnetic resonance (MR) imaging provides superior soft tissue contrast, increasing the precision of target volume selection. We present MR-only based RTP for a rat brain on a small animal radiation research platform (SARRP) using probabilistic voxel classification with multiple MR sequences.

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Modulation of Hippocampal Activity by Vagus Nerve Stimulation in Freely Moving Rats.

Brain Stimul

September 2016

Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology (LCEN3), De Pintelaan 185, Blok B, Ghent University, BE-9000 Ghent, Belgium.

Background: Vagus Nerve Stimulation (VNS) has seizure-suppressing effects but the underlying mechanism is not fully understood. To further elucidate the mechanisms underlying VNS-induced seizure suppression at a neurophysiological level, the present study examined effects of VNS on hippocampal excitability using dentate gyrus evoked potentials (EPs) and hippocampal electroencephalography (EEG).

Methods: Male Sprague-Dawley rats were implanted with a VNS electrode around the left vagus nerve.

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Neurophysiological sensitivity for impaired phonological processing in the acute stage of aphasia.

Brain Lang

October 2015

Department of Neurology, Ghent University Hospital, Ghent, Belgium; Department of Speech, Language and Hearing Sciences, Ghent University, Ghent, Belgium.

The present study aimed to investigate neurophysiological substrates of phoneme and word processing in 10 patients with acute aphasia (PWA). More specifically, phoneme discrimination was studied in a passive and active oddball task with respect to different phonemic contrasts, while lexical detection was investigated by presenting infrequent pseudowords among frequent words in a passive oddball task. Concerning phoneme discrimination, PWA in the acute stage had smaller MMN and P300 amplitudes than the norm group for voicing, whereas for place and manner they only demonstrated smaller P300 amplitudes.

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Deep Brain Stimulation (DBS) is a promising treatment for neurological and psychiatric disorders. The mechanism of action and the effects of electrical fields administered to the brain by means of an electrode remain to be elucidated. The effects of DBS have been investigated primarily by electrophysiological and neurochemical studies, which lack the ability to investigate DBS-related responses on a whole-brain scale.

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Increased motor preparation activity during fluent single word production in DS: A correlate for stuttering frequency and severity.

Neuropsychologia

August 2015

Department of Speech, Language and Hearing Sciences, Ghent University, Ghent University Hospital, De Pintelaan 185, 2P1, B-9000 Ghent, Belgium. Electronic address:

Abnormal speech motor preparation is suggested to be a neural characteristic of stuttering. One of the neurophysiological substrates of motor preparation is the contingent negative variation (CNV). The CNV is an event-related, slow negative potential that occurs between two defined stimuli.

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CNV amplitude as a neural correlate for stuttering frequency: A case report of acquired stuttering.

Neuropsychologia

November 2014

Department of Internal Medicine, Neurology, Ghent University, Ghent University Hospital, De Pintelaan 185, 1K12A, B-9000 Ghent, Belgium; Department of Neurology, Ghent University Hospital, De Pintelaan 185,1K12A, B-9000 Ghent, Belgium. Electronic address:

A neural hallmark of developmental stuttering is abnormal articulatory programming. One of the neurophysiological substrates of articulatory preparation is the contingent negative variation (CNV). Unfortunately, CNV tasks are rarely performed in persons who stutter and mainly focus on the effect of task variation rather than on interindividual variation in stutter related variables.

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Today, neuroimaging techniques are frequently used to investigate the integration of functionally specialized brain regions in a network. Functional connectivity, which quantifies the statistical dependencies among the dynamics of simultaneously recorded signals, allows to infer the dynamical interactions of segregated brain regions. In this review we discuss how the functional connectivity patterns obtained from intracranial and scalp electroencephalographic (EEG) recordings reveal information about the dynamics of the epileptic brain and can be used to predict upcoming seizures and to localize the seizure onset zone.

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