Funktionelle Magnetresonanztomographie mittels simultaner EEG-Registrierung interiktaler Spikes bei fokaler Epilepsie: Vergleich der on-, off- mit der häufigkeitskorrelierten Datenanalyse

Obwohl die funktionelle Magnetresonanztomographie (fMRI) interiktaler Spikes mit simultaner EEG-Ableitung bei Patienten mit fokalen Anfallsleiden seit einigen Jahren zur Lokalisation beteiligter Hirnstrukturen untersucht wird, ist sie nach wie vor eine experimentelle Methode. Um zuverlässig Ergebnisse zu erhalten, ist insbesondere die Verbesserung des Signal-zu-Rausch-Verhältnisses in der statistischen Bilddatenauswertung von Bedeutung. Frühere Untersuchungen zur sog. event-related fMRI weisen auf einen Zusammenhang zwischen Häufigkeit von Einzelreizen und nachfolgender hämodynamischer Signalantwort in der fMRI hin. Um einen möglichen Einfluss der Häufigkeit interiktaler Spikes auf die Signalantwort nachzuweisen, wurden 20 Kinder mit fokaler Epilepsie mit der EEG-fMRI untersucht. Von 11 dieser Patienten konnten die Daten ausgewertet werden. In einer zweifachen Analyse mit dem Softwarepaket SPM99 wurden die Bilddaten zuerst ausschließlich je nach Auftreten interiktaler Spikes der „Reiz“- oder „Ruhe“-Bedingung zugeordnet, unabhängig von der jeweiligen Anzahl der Spikes je Messzeitpunkt (on/off-Analyse). In einem zweiten Schritt wurden die „Reiz“- Bedingungen auch differenziert nach jeweiliger Anzahl einzelner Spikes ausgewertet (häufigkeitskorrelierte Analyse). Die Ergebnisse dieser Analysen zeigten bei 5 der 11 Patienten eine Zunahme von Sensitivität und Signifikanzen der in der fMRI nachgewiesenen Aktivierungen. Eine höhere Spezifität konnte hingegen nicht gezeigt werden. Diese Ergebnisse weisen auf eine positive Korrelation von Reizhäufigkeit und nachfolgender hämodynamischer Antwort auch bei interiktalen Spikes hin, welche für die EEG-fMRI nutzbar ist. Bei 6 Patienten konnte keine fMRI-Aktivierung nachgewiesen werden. Mögliche technische und physiologische Ursachen hierfür werden diskutiert.

An fmri study of brain functional connectivity in parkinson's disease patients

Argomento del presente lavoro è l’analisi di dati fMRI (functional Magnetic Resonance Imaging) nell’ambito di uno studio EEG-fMRI su pazienti affetti da malattia di Parkinson idiopatica. L’EEG-fMRI combina due diverse tecniche per lo studio in vivo dell’attività cerebrale: l'elettroencefalografia (EEG) e la risonanza magnetica funzionale. La prima registra l’attività elettrica dei neuroni corticali con ottima risoluzione temporale; la seconda misura indirettamente l’attività neuronale registrando gli effetti metabolici ad essa correlati, con buona risoluzione spaziale. L’acquisizione simultanea e la combinazione dei due tipi di dati permettono di sfruttare i vantaggi di ciascuna tecnica. Scopo dello studio è l’indagine della connettività funzionale cerebrale in condizioni di riposo in pazienti con malattia di Parkinson idiopatica ad uno stadio precoce. In particolare, l’interesse è focalizzato sulle variazioni della connettività con aree motorie primarie e supplementari in seguito alla somministrazione della terapia dopaminergica. Le quattro fasi principali dell’analisi dei dati sono la correzione del rumore fisiologico, il pre-processing usuale dei dati fMRI, l’analisi di connettività “seed-based “ e la combinazione dei dati relativi ad ogni paziente in un’analisi statistica di gruppo. Usando ’elettrocardiogramma misurato contestualmente all’EEG ed una stima dell’attività respiratoria, è stata effettuata la correzione del rumore fisiologico, ottenendo risultati consistenti con la letteratura. L’analisi di connettività fMRI ha mostrato un aumento significativo della connettività dopo la somministrazione della terapia: in particolare, si è riscontrato che le aree cerebrali maggiormente connesse alle aree motorie sono quelle coinvolte nel network sensorimotorio, nel network attentivo e nel default mode network. Questi risultati suggeriscono che la terapia dopaminergica, oltre ad avere un effetto positivo sulle performance motorie durante l’esecuzione del movimento, inizia ad agire anche in condizioni di riposo, migliorando le funzioni attentive ed esecutive, componenti integranti della fase preparatoria del movimento. Nel prossimo futuro questi risultati verranno combinati con quelli ottenuti dall’analisi dei dati EEG.

Localizing Seizure-Onset Zones in Presurgical Evaluation of Drug-Resistant Epilepsy by Electroencephalography/fMRI: Effectiveness of Alternative Thresholding Strategies

Simultaneous EEG/fMRI is an effective noninvasive tool for identifying and localizing the SOZ in patients with focal epilepsy. In this study, we evaluated different thresholding strategies in EEG/fMRI for the assessment of hemodynamic responses to IEDs in the SOZ of drug-resistant epilepsy.

Developmental changes of BOLD signal correlations with global human EEG power and synchronization during working memory

In humans, theta band (5-7 Hz) power typically increases when performing cognitively demanding working memory (WM) tasks, and simultaneous EEG-fMRI recordings have revealed an inverse relationship between theta power and the BOLD (blood oxygen level dependent) signal in the default mode network during WM. However, synchronization also plays a fundamental role in cognitive processing, and the level of theta and higher frequency band synchronization is modulated during WM. Yet, little is known about the link between BOLD, EEG power, and EEG synchronization during WM, and how these measures develop with human brain maturation or relate to behavioral changes. We examined EEG-BOLD signal correlations from 18 young adults and 15 school-aged children for age-dependent effects during a load-modulated Sternberg WM task. Frontal load (in-)dependent EEG theta power was significantly enhanced in children compared to adults, while adults showed stronger fMRI load effects. Children demonstrated a stronger negative correlation between global theta power and the BOLD signal in the default mode network relative to adults. Therefore, we conclude that theta power mediates the suppression of a task-irrelevant network. We further conclude that children suppress this network even more than adults, probably from an increased level of task-preparedness to compensate for not fully mature cognitive functions, reflected in lower response accuracy and increased reaction time. In contrast to power, correlations between instantaneous theta global field synchronization and the BOLD signal were exclusively positive in both age groups but only significant in adults in the frontal-parietal and posterior cingulate cortices. Furthermore, theta synchronization was weaker in children and was--in contrast to EEG power--positively correlated with response accuracy in both age groups. In summary we conclude that theta EEG-BOLD signal correlations differ between spectral power and synchronization and that these opposite correlations with different distributions undergo similar and significant neuronal developments with brain maturation.

Inefficient Preparatory fMRI-BOLD Network Activations Predict Working Memory Dysfunctions in Patients with Schizophrenia

Patients with schizophrenia show abnormal dynamics and structure of temporally ­coherent networks (TCNs) assessed using fMRI, which undergo adaptive shifts in preparation for a cognitively demanding task. During working memory (WM) tasks, patients with schizophrenia show persistent deficits in TCNs as well as EEG indices of WM. Studying their temporal relationship during WM tasks might provide novel insights into WM performance deficits seen in schizophrenia. Simultaneous EEG-fMRI data were acquired during the performance of a verbal Sternberg WM task with two load levels (load 2 and load 5) in 17 patients with schizophrenia and 17 matched healthy controls. Using covariance mapping, we investigated the relationship of the activity in the TCNs before the memoranda were encoded and EEG spectral power during the retention interval. We assessed four TCNs – default mode network (DMN), dorsal attention network (dAN), left and right working memory networks (WMNs) – and three EEG bands – theta, alpha, and beta. In healthy controls, there was a load-dependent inverse relation between DMN and frontal midline theta power and an anti-correlation between DMN and dAN. Both effects were not significantly detectable in patients. In addition, healthy controls showed a left-lateralized load-dependent recruitment of the WMNs. Activation of the WMNs was bilateral in patients, suggesting more resources were recruited for successful performance on the WM task. Our findings support the notion of schizophrenia patients showing deviations in their neurophysiological responses before the retention of relevant information in a verbal WM task. Thus, treatment strategies as neurofeedback ­targeting prestates could be beneficial as task performance relies on the preparatory state of the brain.

Dynamics of Epileptic Activity in a Peculiar Case of Childhood Absence Epilepsy and Correlation with Thalamic Levels of GABA

Childhood absence epilepsy (CAE) is a syndrome with well-defined electroclinical features but unknown pathological basis. An increased thalamic tonic GABA inhibition has recently been discovered on animal models (Cope et al., 2009), but its relevance for human CAE is unproven. METHODS: We studied an 11-year-old boy, presenting the typical clinical features of CAE, but spike-wave discharges (SWD) restricted to one hemisphere. RESULTS: High-resolution EEG failed to demonstrate independent contralateral hemisphere epileptic activity. Consistently, simultaneous EEG-fMRI revealed the typical thalamic BOLD activation, associated with caudate and default mode network deactivation, but restricted to the hemisphere with SWD. Cortical BOLD activations were localized on the ipsilateral pars transverse. Magnetic resonance spectroscopy, using MEGA-PRESS, showed that the GABA/creatine ratio was 2.6 times higher in the hemisphere with SWD than in the unaffected one, reflecting a higher GABA concentration. Similar comparisons for the patient's occipital cortex and thalamus of a healthy volunteer yielded asymmetries below 25%. SIGNIFICANCE: In a clinical case of CAE with EEG and fMRI-BOLD manifestations restricted to one hemisphere, we found an associated increase in thalamic GABA concentration consistent with a role for this abnormality in human CAE.

Conectividade efectiva em epilepsia

A epilepsia é uma das mais comuns patologias que afectam o cérebro humano e caracteriza-se por uma actividade cerebral oscilatória desordenada e excessiva que prejudica gravemente a qualidade de vida do doente. Com o objectivo de detectar o percurso da actividade cerebral anormal a ressonância magnética, em conjunto com a técnica de electroencefalografia (EEG) têm evoluído no sentido de tornar a identificação do foco epiléptico e respectivas vias de propagação mais clara e fácil para o neurocirurgião. Esta detecção pode recorrer ao efeito BOLD (do inglês “Blood Oxygenation Level Dependent”) para, de forma indirecta, obter um mapa de activação neuronal da zona em estudo contribuindo para uma possível intervenção cirúrgica à área epiléptica. No entanto, para chegar a uma conclusão definitiva sobre este mapa neuronal é necessário ter em conta que diferentes regiões podem apresentar HRFs (do inglês “Hemodynamic Response Functions”) diferentes, influenciando o resultado de qualquer análise se este facto não for tido em conta. Na presente dissertação foi aplicado um método de cálculo de influência causal entre regiões do cérebro humano a dados de epilepsia obtidos através da técnica EEG+fMRI. Foram utilizadas técnicas de conectividade efectiva (causalidade de Granger) usando um pacote de software (PyHRF) para estimar com precisão a HRF da região em estudo e permitir a desconvolução do sinal antes do cálculo de conectividade. Foi demonstrada a utilidade desta contribuição metodológica para a caracterização topográfica e dinâmica de uma crise epiléptica.

Neural correlates of target detection in the attentional blink

Attention, attentional blink, rapid serial visual presentation, RSVP, ERP, EEG, fMRI, gammaband, oscillatiory activity

Electrical source imaging for presurgical focus localization in epilepsy patients with normal MRI.

PURPOSE: Patients with magnetic resonance (MR)-negative focal epilepsy (MRN-E) have less favorable surgical outcomes (between 40% and 70%) compared to those in whom an MRI lesion guides the site of surgical intervention (60-90%). Patients with extratemporal MRN-E have the worst outcome (around 50% chance of seizure freedom). We studied whether electroencephalography (EEG) source imaging (ESI) of interictal epileptic activity can contribute to the identification of the epileptic focus in patients with normal MRI. METHODS: We carried out ESI in 10 operated patients with nonlesional MRI and a postsurgical follow-up of at least 1 year. Five of the 10 patients had extratemporal lobe epilepsy. Evaluation comprised surface and intracranial EEG monitoring of ictal and interictal events, structural MRI, [(18)F]fluorodeoxyglucose positron emission tomography (FDG-PET), ictal and interictal perfusion single photon emission computed tomography (SPECT) scans. Eight of the 10 patients also underwent intracranial monitoring. RESULTS: ESI correctly localized the epileptic focus within the resection margins in 8 of 10 patients, 9 of whom experienced favorable postsurgical outcomes. DISCUSSION: The results highlight the diagnostic value of ESI and encourage broadening its application to patients with MRN-E. If the surface EEG contains fairly localized spikes, ESI contributes to the presurgical decision process.

Étude multimodale de la consolidation d’habiletés motrices à ‎l’aide de l’IRMf et de l’EEG

La consolidation est le processus qui transforme une nouvelle trace mnésique labile en ‎une autre plus stable et plus solide. Une des tâches utilisées en laboratoire pour ‎l’exploration de la consolidation motrice dans ses dimensions comportementale et ‎cérébrale est la tâche d’apprentissage de séquences motrices. Celle-ci consiste à ‎reproduire une même série de mouvements des doigts, apprise de manière implicite ou ‎explicite, tout en mesurant l’amélioration dans l’exécution. Les études récentes ont ‎montré que, dans le cas de l’apprentissage explicite de cette tâche, la consolidation de la ‎trace mnésique associée à cette nouvelle habileté dépendrait du sommeil, et plus ‎particulièrement des fuseaux en sommeil lent. Et bien que deux types de fuseaux aient ‎été décrits (lents et rapides), le rôle de chacun d’eux dans la consolidation d’une ‎séquence motrice est encore mal exploré. En effet, seule une étude s’est intéressée à ce ‎rôle, montrant alors une implication des fuseaux rapides dans ce processus mnésique ‎suite à une nuit artificiellement altérée. D’autre part, les études utilisant l’imagerie ‎fonctionnelle (IRMf et PET scan) menées par différentes équipes dont la notre, ont ‎montré des changements au niveau de l’activité du système cortico-striatal suite à la ‎consolidation motrice. Cependant, aucune corrélation n’a été faite à ce jour entre ces ‎changements et les caractéristiques des fuseaux du sommeil survenant au cours de la nuit ‎suivant un apprentissage moteur. Les objectifs de cette thèse étaient donc: 1) de ‎déterminer, à travers des enregistrements polysomnographiques et des analyses ‎corrélationnelles, les caractéristiques des deux types de fuseaux (i.e. lents et rapides) ‎associées à la consolidation d’une séquence motrice suite à une nuit de sommeil non ‎altérée, et 2) d’explorer, à travers des analyses corrélationnelles entre les données ‎polysomnographiques et le signal BOLD (« Blood Oxygenated Level Dependent »), ‎acquis à l’aide de l’imagerie par résonance magnétique fonctionnelle (IRMf), ‎l’association entre les fuseaux du sommeil et les activations cérébrales suite à la ‎consolidation de la séquence motrice. Les résultats de notre première étude ont montré ‎une implication des fuseaux rapides, et non des fuseaux lents, dans la consolidation ‎d’une séquence motrice apprise de manière explicite après une nuit de sommeil non ‎altérée, corroborant ainsi les résultats des études antérieures utilisant des nuits de ‎sommeil altérées. En effet, les analyses statistiques ont mis en évidence une ‎augmentation significative de la densité des fuseaux rapides durant la nuit suivant ‎l’apprentissage moteur par comparaison à la nuit contrôle. De plus, cette augmentation ‎corrélait avec les gains spontanés de performance suivant la nuit. Par ailleurs, les ‎résultats de notre seconde étude ont mis en évidence des corrélations significatives entre ‎l’amplitude des fuseaux de la nuit expérimentale d’une part et les gains spontanés de ‎performance ainsi que les changements du signal BOLD au niveau du système cortico-‎striatal d’autre part. Nos résultats suggèrent donc un lien fonctionnel entre les fuseaux ‎du sommeil, les gains de performance ainsi que les changements neuronaux au niveau ‎du système cortico-striatal liés à la consolidation d’une séquence motrice explicite. Par ‎ailleurs, ils supportent l’implication des fuseaux rapides dans ce type de consolidation ; ‎ceux-ci aideraient à l’activation des circuits neuronaux impliqués dans ce processus ‎mnésique et amélioreraient par la même occasion la consolidation motrice liée au ‎sommeil.‎

Análise de atividade epileptiforme com uso simultâneo de eletrencefalografia e ressonância magnética funcional

The use of multimodal neuroimaging techniques has been helpful in the investigation of epileptogenic zone in patients with refractory epilepsies. This work aims to describe an ictal event during EEG-fMRI performed simultaneously in a 39-year-old man with refractory epilepsy. The EEG data were recorded at a sampling rate of 5 kHz, using a BrainAmp (BrainProducts, München, Germany) amplifier, with 64 MR (magnetic resonance) compatible Ag/AgCl electrodes. MR images were acquired using a 3T scanner in 3 sequences of 6 minutes of echo-planar images (EPIs), with TR = 2s, being the last sequence stopped after the ictal event. The EEG was corrected for gradient and pulse artifacts using the Brain Vision Analyzer2 software (BrainProducts), and the functional images were realigned, slice-timing corrected, normalized and smoothed. The start of the ictal changes was used for the evaluation of the BOLD response in MR images, using a t-test with a minimum cluster of 5 voxels, p <0.005 (T>2.5). The patient had a partial complex seizure, as noted by neurologist. The fMRI data showed positive BOLD responses (activation) in dysplastic areas, but showed the most significant activation outside the lesion, in areas compatible with secondary spread of the epileptic focus, probably caused by motor reaction also observed during the seizure. As a conclusion, we note that the technique of EEG-fMRI can detect the epileptogenic zone in patients with refractory epilepsy, but areas of dissemination of primary epileptogenic focus may show significant activation, introducing additional difficulties to the interpretation of the results

Widespread grey matter changes and hemodynamic correlates to interictal epileptiform discharges in pharmacoresistant mesial temporal epilepsy

Focal onset epilepsies most often occur in the temporal lobes. To improve diagnosis and therapy of patients suffering from pharmacoresistant temporal lobe epilepsy it is highly important to better understand the underlying functional and structural networks. In mesial temporal lobe epilepsy (MTLE) widespread functional networks are involved in seizure generation and propagation. In this study we have analyzed the spatial distribution of hemodynamic correlates (HC) to interictal epileptiform discharges on simultaneous EEG/fMRI recordings and relative grey matter volume (rGMV) reductions in 10 patients with MTLE. HC occurred beyond the seizure onset zone in the hippocampus, in the ipsilateral insular/operculum, temporo-polar and lateral neocortex, cerebellum, along the central sulcus and bilaterally in the cingulate gyrus. rGMV reductions were detected in the middle temporal gyrus, inferior temporal gyrus and uncus to the hippocampus, the insula, the posterior cingulate and the anterior lobe of the cerebellum. Overlaps between HC and decreased rGMV were detected along the mesolimbic network ipsilateral to the seizure onset zone. We conclude that interictal epileptic activity in MTLE induces widespread metabolic changes in functional networks involved in MTLE seizure activity. These functional networks are spatially overlapping with areas that show a reduction in relative grey matter volumes.

BOLD correlates of continuously fluctuating epileptic activity isolated by independent component analysis

Combined EEG/fMRI recordings offer a promising opportunity to detect brain areas with altered BOLD signal during interictal epileptic discharges (IEDs). These areas are likely to represent the irritative zone, which is itself a reflection of the epileptogenic zone. This paper reports on the imaging findings using independent component analysis (ICA) to continuously quantify epileptiform activity in simultaneously acquired EEG and fMRI. Using ICA derived factors coding for the epileptic activity takes into account that epileptic activity is continuously fluctuating with each spike differing in amplitude, duration and maybe topography, including subthreshold epileptic activity besides clear IEDs and may thus increase the sensitivity and statistical power of combined EEG/fMRI in epilepsy. Twenty patients with different types of focal and generalized epilepsy syndromes were investigated. ICA separated epileptiform activity from normal physiological brain activity and artifacts. In 16/20 patients, BOLD correlates of epileptic activity matched the EEG sources, the clinical semiology, and, if present, the structural lesions. In clinically equivocal cases, the BOLD correlates aided to attribute proper diagnosis of the underlying epilepsy syndrome. Furthermore, in one patient with temporal lobe epilepsy, BOLD correlates of rhythmic delta activity could be employed to delineate the affected hippocampus. Compared to BOLD correlates of manually identified IEDs, the sensitivity was improved from 50% (10/20) to 80%. The ICA EEG/fMRI approach is a safe, non-invasive and easily applicable technique, which can be used to identify regions with altered hemodynamic effects related to IEDs as well as intermittent rhythmic discharges in different types of epilepsy.

When the systems fail to communicate. Cerebral resting state networks in schizophrenia spectrum disorders.

There have been numerous attempts to reveal the neurobiological basis of schizophrenia spectrum disorders. Results however, remain as heterogeneous as the schizophrenia spectrum disorders itself. Therefore, one aim of this thesis was to divide patients affected by this disorder into subgroups in order to homogenize the results of future studies. In a first study it is suggested that psychopathological rating scales should focus on symptoms-clusters that may have a common neurophysiological background. The here presented Bern Psychopathology Scale (BPS) proposes that alterations in three wellknown brain systems (motor, language, and affective) are largely leading to the communication failures observable on a behavioral level, but also - as repeatedly hypothesized - to dysconnectivity within and between brain systems in schizophrenia spectrum disorders. The external validity of the motor domain in the BPS was tested against the objective measure of 24 hours wrist actigraphy, in a second study. The subjective, the quantitative, as well as the global rating of the degree of motor disorders in this patient group showed significant correlations to the acquired motor activity. This result confirmed in a first step the practicability of the motor domain of the BPS, but needs further validation regarding pathological brain alterations. Finally, in a third study (independent from the two other studies), two cerebral Resting State Networks frequently altered in schizophrenia were investigated for the first time using simultaneous EEG/fMRI: The well-known default mode network and the left working memory network. Besides the changes in these fMRI-based networks, there are well-documented findings that patients exhibit alterations in EEG spectra compared to healthy controls. However, only through the multimodal approach it was possible to discover that patients with schizophrenia spectrum disorders have a slower driving frequency of the Resting State Networks compared to the matched healthy controls. Such a dysfunctional coupling between neuronal frequency and functional brain organization could explain in a uni- or multifactorial way (dysfunctional cross-frequency coupling, maturational effects, vigilance fluctuations, task-related suppression), how the typical psychotic symptoms might occur. To conclude, the major contributions presented in this thesis were on one hand the development of a psychopathology rating scale that is based on the assumption of dysfunctional brain networks, as well as the new evidence of a dysfunctional triggering frequency of Resting State Networks from the simultaneous EEG/fMRI study in patients affected by a schizophrenia spectrum disorder.

Epileptic networks are strongly connected with and without the effects of interictal discharges

OBJECTIVE Epilepsy is increasingly considered as the dysfunction of a pathologic neuronal network (epileptic network) rather than a single focal source. We aimed to assess the interactions between the regions that comprise the epileptic network and to investigate their dependence on the occurrence of interictal epileptiform discharges (IEDs). METHODS We analyzed resting state simultaneous electroencephalography-functional magnetic resonance imaging (EEG-fMRI) recordings in 10 patients with drug-resistant focal epilepsy with multifocal IED-related blood oxygen level-dependent (BOLD) responses and a maximum t-value in the IED field. We computed functional connectivity (FC) maps of the epileptic network using two types of seed: (1) a 10-mm diameter sphere centered in the global maximum of IED-related BOLD map, and (2) the independent component with highest correlation to the IED-related BOLD map, named epileptic component. For both approaches, we compared FC maps before and after regressing out the effect of IEDs in terms of maximum and mean t-values and percentage of map overlap. RESULTS Maximum and mean FC maps t-values were significantly lower after regressing out IEDs at the group level (p < 0.01). Overlap extent was 85% ± 12% and 87% ± 12% when the seed was the 10-mm diameter sphere and the epileptic component, respectively. SIGNIFICANCE Regions involved in a specific epileptic network show coherent BOLD fluctuations independent of scalp EEG IEDs. FC topography and strength is largely preserved by removing the IED effect. This could represent a signature of a sustained pathologic network with contribution from epileptic activity invisible to the scalp EEG.