Investigação de técnicas para o acompanhamento do desgaste de um par engrenado utilizando tribologia e análise da resposta dinâmica processada via função densidade probabilidade Beta

Pós-graduação em Engenharia Mecânica - FEIS

Word sense disambiguation via high order of learning in complex networks

Complex networks have been employed to model many real systems and as a modeling tool in a myriad of applications. In this paper, we use the framework of complex networks to the problem of supervised classification in the word disambiguation task, which consists in deriving a function from the supervised (or labeled) training data of ambiguous words. Traditional supervised data classification takes into account only topological or physical features of the input data. On the other hand, the human (animal) brain performs both low- and high-level orders of learning and it has facility to identify patterns according to the semantic meaning of the input data. In this paper, we apply a hybrid technique which encompasses both types of learning in the field of word sense disambiguation and show that the high-level order of learning can really improve the accuracy rate of the model. This evidence serves to demonstrate that the internal structures formed by the words do present patterns that, generally, cannot be correctly unveiled by only traditional techniques. Finally, we exhibit the behavior of the model for different weights of the low- and high-level classifiers by plotting decision boundaries. This study helps one to better understand the effectiveness of the model. Copyright (C) EPLA, 2012

Prion potency in stem cells biology

Prion protein (PrP) can be considered a pivotal molecule because it interacts with several partners to perform a diverse range of critical biological functions that might differ in embryonic and adult cells. In recent years, there have been major advances in elucidating the putative role of PrP in the basic biology of stem cells in many different systems. Here, we review the evidence indicating that PrP is a key molecule involved in driving different aspects of the potency of embryonic and tissue-specific stem cells in self-perpetuation and differentiation in many cell types. It has been shown that PrP is involved in stem cell self-renewal, controlling pluripotency gene expression, proliferation and neural and cardiomyocyte differentiation. PrP also has essential roles in distinct processes that regulate tissue-specific stem cell biology in nervous and hematopoietic systems and during muscle regeneration. Results from our own investigations have shown that PrP is able to modulate self-renewal and proliferation in neural stem cells, processes that are enhanced by PrP interactions with stress inducible protein 1 (STI1). Thus, the available data reveal the influence of PrP in acting upon the maintenance of pluripotent status or the differentiation of stem cells from the early embryogenesis through adulthood.

Energy-level statistics of interacting trapped bosons

It is a well-established fact that statistical properties of energy-level spectra are the most efficient tool to characterize nonintegrable quantum systems. The statistical behavior of different systems such as complex atoms, atomic nuclei, two-dimensional Hamiltonians, quantum billiards, and noninteracting many bosons has been studied. The study of statistical properties and spectral fluctuations in interacting many-boson systems has developed interest in this direction. We are especially interested in weakly interacting trapped bosons in the context of Bose-Einstein condensation (BEC) as the energy spectrum shows a transition from a collective nature to a single-particle nature with an increase in the number of levels. However this has received less attention as it is believed that the system may exhibit Poisson-like fluctuations due to the existence of an external harmonic trap. Here we compute numerically the energy levels of the zero-temperature many-boson systems which are weakly interacting through the van der Waals potential and are confined in the three-dimensional harmonic potential. We study the nearest-neighbor spacing distribution and the spectral rigidity by unfolding the spectrum. It is found that an increase in the number of energy levels for repulsive BEC induces a transition from a Wigner-like form displaying level repulsion to the Poisson distribution for P(s). It does not follow the Gaussian orthogonal ensemble prediction. For repulsive interaction, the lower levels are correlated and manifest level-repulsion. For intermediate levels P(s) shows mixed statistics, which clearly signifies the existence of two energy scales: external trap and interatomic interaction, whereas for very high levels the trapping potential dominates, generating a Poisson distribution. Comparison with mean-field results for lower levels are also presented. For attractive BEC near the critical point we observe the Shnirelman-like peak near s = 0, which signifies the presence of a large number of quasidegenerate states.

Records of migration in the exoplanet configurations

When compared to our Solar System, many exoplanet systems exhibit quite unusual planet configurations; some of these are hot Jupiters, which orbit their central stars with periods of a few days, others are resonant systems composed of two or more planets with commensurable orbital periods. It has been suggested that these configurations can be the result of a migration processes originated by tidal interactions of the planets with disks and central stars. The process known as planet migration occurs due to dissipative forces which affect the planetary semi-major axes and cause the planets to move towards to, or away from, the central star. In this talk, we present possible signatures of planet migration in the distribution of the hot Jupiters and resonant exoplanet pairs. For this task, we develop a semi-analytical model to describe the evolution of the migrating planetary pair, based on the fundamental concepts of conservative and dissipative dynamics of the three-body problem. Our approach is based on an analysis of the energy and the orbital angular momentum exchange between the two-planet system and an external medium; thus no specific kind of dissipative forces needs to be invoked. We show that, under assumption that dissipation is weak and slow, the evolutionary routes of the migrating planets are traced by the stationary solutions of the conservative problem (Birkhoff, Dynamical systems, 1966). The ultimate convergence and the evolution of the system along one of these modes of motion are determined uniquely by the condition that the dissipation rate is sufficiently smaller than the roper frequencies of the system. We show that it is possible to reassemble the starting configurations and migration history of the systems on the basis of their final states, and consequently to constrain the parameters of the physical processes involved.

Evolutionary methods for self-organizing cooperation in peer-to-peer networks

The Peer-to-Peer network paradigm is drawing the attention of both final users and researchers for its features. P2P networks shift from the classic client-server approach to a high level of decentralization where there is no central control and all the nodes should be able not only to require services, but to provide them to other peers as well. While on one hand such high level of decentralization might lead to interesting properties like scalability and fault tolerance, on the other hand it implies many new problems to deal with. A key feature of many P2P systems is openness, meaning that everybody is potentially able to join a network with no need for subscription or payment systems. The combination of openness and lack of central control makes it feasible for a user to free-ride, that is to increase its own benefit by using services without allocating resources to satisfy other peers’ requests. One of the main goals when designing a P2P system is therefore to achieve cooperation between users. Given the nature of P2P systems based on simple local interactions of many peers having partial knowledge of the whole system, an interesting way to achieve desired properties on a system scale might consist in obtaining them as emergent properties of the many interactions occurring at local node level. Two methods are typically used to face the problem of cooperation in P2P networks: 1) engineering emergent properties when designing the protocol; 2) study the system as a game and apply Game Theory techniques, especially to find Nash Equilibria in the game and to reach them making the system stable against possible deviant behaviors. In this work we present an evolutionary framework to enforce cooperative behaviour in P2P networks that is alternative to both the methods mentioned above. Our approach is based on an evolutionary algorithm inspired by computational sociology and evolutionary game theory, consisting in having each peer periodically trying to copy another peer which is performing better. The proposed algorithms, called SLAC and SLACER, draw inspiration from tag systems originated in computational sociology, the main idea behind the algorithm consists in having low performance nodes copying high performance ones. The algorithm is run locally by every node and leads to an evolution of the network both from the topology and from the nodes’ strategy point of view. Initial tests with a simple Prisoners’ Dilemma application show how SLAC is able to bring the network to a state of high cooperation independently from the initial network conditions. Interesting results are obtained when studying the effect of cheating nodes on SLAC algorithm. In fact in some cases selfish nodes rationally exploiting the system for their own benefit can actually improve system performance from the cooperation formation point of view. The final step is to apply our results to more realistic scenarios. We put our efforts in studying and improving the BitTorrent protocol. BitTorrent was chosen not only for its popularity but because it has many points in common with SLAC and SLACER algorithms, ranging from the game theoretical inspiration (tit-for-tat-like mechanism) to the swarms topology. We discovered fairness, meant as ratio between uploaded and downloaded data, to be a weakness of the original BitTorrent protocol and we drew inspiration from the knowledge of cooperation formation and maintenance mechanism derived from the development and analysis of SLAC and SLACER, to improve fairness and tackle freeriding and cheating in BitTorrent. We produced an extension of BitTorrent called BitFair that has been evaluated through simulation and has shown the abilities of enforcing fairness and tackling free-riding and cheating nodes.

Performance evaluation of a parallel algorithm for simultaneous untangling and smoothing of tetrahedral meshes

[EN]A new parallel algorithm for simultaneous untangling and smoothing of tetrahedral meshes is proposed in this paper. We provide a detailed analysis of its performance on shared-memory many-core computer architectures. This performance analysis includes the evaluation of execution time, parallel scalability, load balancing, and parallelism bottlenecks. Additionally, we compare the impact of three previously published graph coloring procedures on the performance of our parallel algorithm. We use six benchmark meshes with a wide range of sizes. Using these experimental data sets, we describe the behavior of the parallel algorithm for different data sizes. We demonstrate that this algorithm is highly scalable when it runs on two different high-performance many-core computers with up to 128 processors...

Kontrollierte Fällung von amorphem Calciumcarbonat durch homogene Carbonatfreisetzung

In der Vergangenheit haben Untersuchung an biologischen und Modell-Systemen gezeigt, dass amorphes Calciumcarbonat als instabiles Zwischenprodukt bei der Bildung kristalliner Strukturen aus CaCO3 auftritt. Über dessen Rolle im Fällungsprozess von CaCO3 ist nicht viel bekannt und es wird davon ausgegangen, dass es als CaCO3-Speicher für die nachfolgenden kristallinen Produkte dient. Der genaue Reaktionsablauf, der zur Bildung von amorphem Calciumcarbonat (ACC) führt, ist nicht bekannt. Ziel dieser Arbeit war die Entwicklung einer Fällungstechnik, die die Beobachtung der Bildungskinetik von ACC durch Lichtstreuung ermöglicht. In Fällungsexperimenten wird gezeigt, dass die Fällung unter nicht-turbulenten Bedingungen zur Bildung von amorphem Calciumcarbonat führt. Hinsichtlich der Basen- und Alkylcarbonatmenge, die äquivalent oder im Überschuss zur Calciumionenkonzentration eingesetzt wird, entstehen zwei verschiedene Fällungsprodukte. In Bezug auf ihre chemische Zusammensetzung, thermische und mechanische Eigenschaften werden diese charakterisiert. In beiden Fällen wird ein amorphes CaCO3 mit einem Wassergehalt von 0,5 mol/L pro Mol CaCO3 erhalten. Die in situ Generierung von Carbonat führt zur Bildung von sphärischem amorphem Calciumcarbonat, das eine gewisse Tendenz zur Koazervation zeigt. Die bei gleichem Reaktionsumsatz beobachtete Temperaturabhängigkeit des Partikelradius konnten wir unter Annahme einer Mischungslücke mit unterer kritischer Mischungstemperatur interpretieren. Für die Bildung von amorphem Calciumcarbonat schlagen wir daher einen Mechanismus via binodaler flüssig-flüssig Entmischung vor. Nach einer kurzen Keimbildungsperiode können flüssige Tröpfchen aus wasserhaltigem CaCO3 wachsen und dann infolge von stetigem Wasserverlust glasartig erstarren und so amorphes Calciumcarbonat bilden. Bekräftigt wird dieses Modell durch die Wachstumskinetik, die mittels Lichtstreuung und SAXS verfolgt worden ist. In den Fällungsversuchen sind je nach Reaktionsbedingungen, zwei verschiedene Zeitgesetze des Teilchenwachstums erkennbar: Bei schneller Freisetzung von Carbonat liegt ein parabolischer Verlauf des Radienwachstums vor; hingegen führt eine langsame Freisetzung von Carbonat zu einem linearen Wachstum der Radien. Diese Abhängigkeiten lassen sich im Rahmen der bekannten Kinetik einer flüssig-flüssig Entmischung deuten. Ferner wird der Einfluss von doppelthydrophilen Blockcopolymeren (PEO-PMAA) auf die Teilchengröße und die Kinetik der Bildung von amorphem Calciumcarbonat untersucht. Zum Einsatz kommen zwei verschiedene Blockcopolymere, die sich in der Länge des PEO-Blocks unterscheiden. Im Fällungsexperiment führt das in sehr kleinen Konzentrationen vorliegende Blockcopolymere zur Stabilisierung von kleineren Partikeln. Das Blockcopolymer mit der längeren PEO-Einheit weist eine größere Effizienz auf. Die Ergebnisse lassen sich durch Annahme von Adsorption des Polymers an der Oberfläche interpretieren. Der Einfluss der doppelthydrophilen Blockcopolymere auf die Bildung von ACC deutet darauf, dass amorphes Calciumcarbonat eine komplexere Rolle als lediglich die eines Calciumcarbonatspeichers für das spätere Wachstum kristalliner Produkte einnimmt. Für die Wirkung von Polymerzusätzen muss somit nicht nur die Wechselwirkung mit den gegen Ende gebildeten Kristalle betrachtet werden, sondern auch der Einfluss, den das Polymer auf die Bildung des amorphen Calciumcarbonats hat. Die hier neu entwickelte Methode bietet die Möglichkeit, auch für komplexere Polymere, wie z.B. extrahierte Proteine, den Einfluss auf die Bildung der amorphen Vorstufe zu untersuchen.

A scanning electron microscope for ultracold quantum gases

This thesis presents a new imaging technique for ultracold quantum gases. Since the first observation of Bose-Einstein condensation, ultracold atoms have proven to be an interesting system to study fundamental quantum effects in many-body systems. Most of the experiments use optical imaging rnmethods to extract the information from the system and are therefore restricted to the fundamental limitation of this technique: the best achievable spatial resolution that can be achieved is comparable to the wavelength of the employed light field. Since the average atomic distance and the length scale of characteristic spatial structures in Bose-Einstein condensates such as vortices and solitons is between 100 nm and 500 nm, an imaging technique with an adequate spatial resolution is needed. This is achieved in this work by extending the method of scanning electron microscopy to ultracold quantum gases. A focused electron beam is scanned over the atom cloud and locally produces ions which are subsequently detected. The new imaging technique allows for the precise measurement of the density distribution of a trapped Bose-Einstein condensate. Furthermore, the spatial resolution is determined by imaging the atomic distribution in one-dimensional and two-dimensional optical lattices. Finally, the variety of the imaging method is demonstrated by the selective removal of single lattice site. rn

OpenMP task scheduling strategies to mitigate hardware variability in tightly-coupled shared memory clusters

In questa tesi sono stati apportati due importanti contributi nel campo degli acceleratori embedded many-core. Abbiamo implementato un runtime OpenMP ottimizzato per la gestione del tasking model per sistemi a processori strettamente accoppiati in cluster e poi interconnessi attraverso una network on chip. Ci siamo focalizzati sulla loro scalabilità e sul supporto di task di granularità fine, come è tipico nelle applicazioni embedded. Il secondo contributo di questa tesi è stata proporre una estensione del runtime di OpenMP che cerca di prevedere la manifestazione di errori dati da fenomeni di variability tramite una schedulazione efficiente del carico di lavoro.

Der Einfluss von Chemotherapeutika mit Hypoxie-induzierbarer Faktor (HIF)-modulierendem Potential sowie eines Verlustes des HIF-Regulators von Hippel-Lindau (VHL) auf den Phänotyp und die Funktion dendritischer Zellen

Der Transkriptionsfaktor Hypoxie-induzierbarer Faktor (HIF) gibt dem Organismus die Möglichkeit, sich auf zellulärer Ebene an unterschiedliche Sauerstoffverhältnisse anzupassen. Vor allem Tumorzellen weisen aufgrund ihres ungeregelten Wachstums und der daraus resultierenden unzureichenden Durchblutung (hypoxisches Milieu) eine erhöhte HIF-Expression auf. Die erhöhte HIF-Expression stellt somit ein interessantes Ziel in der Tumortherapie dar. Dendritische Zellen (DCs) besitzen eine bedeutende Rolle in der Generierung und Modulierung von Antitumor-Immunantworten. Aus diesem Grund ist es überaus wichtig zu wissen, welche Effekte Antitumor-Agenzien, im Besonderen HIF-Inhibitoren, auf DCs und somit auch auf die Generierung von adäquaten Immunantworten besitzen.rnIm ersten Teil dieser Arbeit wurde aus diesem Grund der Einfluss der Antitumor-Agenzien Geldanamycin (GA) und Topotecan (TPT) auf den Phänotyp und die Funktion von DCs untersucht. Hierfür wurden Monozyten aus humanen, mononukleären, peripheren Blutzellen isoliert und unter DC-differenzierenden Konditionen kultiviert. Diese immaturen monozytenabgeleiteten DCs (Mo-DCs) wurden mithilfe eines Reifungscocktails ausgereift. Die Applikation der Antitumor-Agenzien erfolgte während der Differenzierungs- bzw. Ausreifungsphase. Abhängig vom Reifungsgrad der Mo-DCs konnte ein differentieller Einfluss von GA bzw. TPT auf die DC-Aktivierung beobachtet werden. Eine Behandlung von unstimulierten Mo-DCs mit GA resultierte in einer partiellen DC-Aktivierung basierend auf einem noch unbekannten Mechanismus. Ebenso führte eine Behandlung von unstimulierten Mo-DCs mit TPT zu einer funktionellen Aktivierung der DCs, die mit einer vermehrten AKT-Expression korrelierte. Die jeweilige Koapplikation der Antitumor-Agenzien mit dem DC-Reifungscocktail führte zu einer reduzierten DC-Aktivierung, die sich in einer verminderten NF-κB-Aktivierung, einer verringerten Oberflächenexpression der getesteten kostimulatorischen Moleküle, einer verringerten Migrationsfähigkeit und einem reduzierten Zellstimulierungspotential widerspiegelte.rnDie autosomal dominant vererbte Tumorerkrankung von Hippel-Lindau (VHL) wird häufig durch genetische Mutationen des als HIF-Negativregulator fungierenden VHL-Gens hervorgerufen. Patienten, die an dem VHL-Syndrom erkrankt sind, weisen oft benigne oder maligne Tumore und Zysten in den verschiedensten Organsystemen auf. Wie schon zuvor erwähnt, besitzen DCs eine essentielle Rolle in der Initiierung und Aufrechterhaltung von Antitumor-Immunantworten. Deshalb wurde im zweiten Abschnitt der vorliegenden Arbeit untersucht, inwieweit ein partieller Verlust von VHL Auswirkungen auf die Ausprägung desrnPhänotyps und der Funktion von DCs hat. Mittels Cre/lox-Technologie wurden transgene Mäuse mit einem heterozygoten Verlust von Exon 1 bzw. Exon 2 des VHL-Gens generiert. Aus diesen Mäusen wurden Knochenmarkszellen isoliert und unter DC-differenzierenden Konditionen kultiviert. Die immaturen knochenmarkabgeleiteten DCs (BM-DCs) wurden mit LPS ausgereift. Weder der heterozygote Verlust von Exon 1 noch von Exon 2 des VHL-Gens bewirkte eine Veränderung der Oberflächenmarkerexpression, der in vitro-Migrations- undrnEndozytosekapazität, sowie der allogenen T-Zellstimulierungskapazität. Allerdings zeigten Mäuse mit einem partiellen Verlust von Exon 2 im Vergleich zu Kontrollmäusen nach Immunisierung und Provokation mit dem Modellallergen OVA eine verminderte Atemwegshyperreaktion, die möglicherweise auf die beobachtete Abnahme der Migrationsfähigkeit in vivo und die verminderte OVA-spezifische T-Zellstimulierungskapazität der DCs zurückzuführen ist.

N-H center dot center dot center dot pi hydrogen-bonding and large-amplitude tipping vibrations in jet-cooled pyrrole-benzene

The N-H center dot center dot center dot pi hydrogen bond is an important intermolecular interaction in many biological systems. We have investigated the infrared (IR) and ultraviolet (UV) spectra of the supersonic-jet cooled complex of pyrrole with benzene and benzene-d(6) (Pyr center dot Bz, Pyr center dot Bz-d(6)). DFT-D density functional, SCS-MP2 and SCS-CC2 calculations predict a T-shaped and (almost) C(s) symmetric structure with an N-H center dot center dot center dot pi hydrogen bond to the benzene ring. The pyrrole is tipped by omega(S(0)) = +/- 13 degrees relative to the surface normal of Bz. The N center dot center dot center dot ring distance is 3.13 angstrom. In the S(1) excited state, SCS-CC2 calculations predict an increased tipping angle omega(S(1)) = +/- 21 degrees. The IR depletion spectra support the T-shaped geometry: The NH stretch is redshifted by -59 cm(-1), relative to the "free" NH stretch of pyrrole at 3531 cm(-1), indicating a moderately strong N-H center dot center dot center dot pi interaction. The interaction is weaker than in the (Pyr)(2) dimer, where the NH donor shift is -87 cm(-1) [Dauster et al., Phys. Chem. Chem. Phys., 2008, 10, 2827]. The IR C-H stretch frequencies and intensities of the Bz subunit are very similar to those of the acceptor in the (Bz)(2) dimer, confirming that Bz acts as the acceptor. While the S(1) <- S(0) electronic origin of Bz is forbidden and is not observable in the gas-phase, the UV spectrum of Pyr center dot Bz in the same region exhibits a weak 0(0)(0) band that is red-shifted by 58 cm(-1) relative to that of Bz (38 086 cm(-1)). The origin appears due to symmetry-breaking of the p-electron system of Bz by the asymmetric pyrrole NH center dot center dot center dot pi hydrogen bond. This contrasts with (Bz)(2), which does not exhibit a 0(0)(0) band. The Bz moiety in Pyr center dot Bz exhibits a 6a(0)(1) band at 0(0)(0) + 518 cm(-1) that is about 20x more intense than the origin band. The symmetry breaking by the NH center dot center dot center dot pi hydrogen bond splits the degeneracy of the v(6)(e(2g)) vibration, giving rise to 6a' and 6b' sub-bands that are spaced by similar to 6 cm(-1). Both the 0(0)(0) and 6(0)(1) bands of Pyr center dot Bz carry a progression in the low-frequency (10 cm(-1)) excited-state tipping vibration omega', in agreement with the change of the omega tipping angle predicted by SCS-MP2 and SCS-CC2 calculations.

Role of glial cells in the functional expression of LL-37/rat cathelin-related antimicrobial peptide in meningitis

Antimicrobial peptides are intrinsic to the innate immune system in many organ systems, but little is known about their expression in the central nervous system. We examined cerebrospinal fluid (CSF) and serum from patients with active bacterial meningitis to assess antimicrobial peptides and possible bactericidal properties of the CSF. We found antimicrobial peptides (human cathelicidin LL-37) in the CSF of patients with bacterial meningitis but not in control CSF. We next characterized the expression, secretion, and bactericidal properties of rat cathelin-related antimicrobial peptide, the homologue of the human LL-37, in rat astrocytes and microglia after incubation with different bacterial components. Using real-time polymerase chain reaction and Western blotting, we determined that supernatants from both astrocytes and microglia incubated with bacterial component supernatants had antimicrobial activity. The expression of rat cathelin-related antimicrobial peptide in rat glial cells involved different signal transduction pathways and was induced by the inflammatory cytokines interleukin 1beta and tumor necrosis factor. In an experimental model of meningitis, infant rats were intracisternally infected with Streptococcus pneumoniae, and rat cathelin-related antimicrobial peptide was localized in glia, choroid plexus, and ependymal cells by immunohistochemistry. Together, these results suggest that cathelicidins produced by glia and other cells play an important part in the innate immune response against pathogens in central nervous system bacterial infections.

The MIRELA framework: modeling and analyzing mixed reality applications using timed automata

Mixed Reality (MR) aims to link virtual entities with the real world and has many applications such as military and medical domains [JBL+00, NFB07]. In many MR systems and more precisely in augmented scenes, one needs the application to render the virtual part accurately at the right time. To achieve this, such systems acquire data related to the real world from a set of sensors before rendering virtual entities. A suitable system architecture should minimize the delays to keep the overall system delay (also called end-to-end latency) within the requirements for real-time performance. In this context, we propose a compositional modeling framework for MR software architectures in order to specify, simulate and validate formally the time constraints of such systems. Our approach is first based on a functional decomposition of such systems into generic components. The obtained elements as well as their typical interactions give rise to generic representations in terms of timed automata. A whole system is then obtained as a composition of such defined components. To write specifications, a textual language named MIRELA (MIxed REality LAnguage) is proposed along with the corresponding compilation tools. The generated output contains timed automata in UPPAAL format for simulation and verification of time constraints. These automata may also be used to generate source code skeletons for an implementation on a MR platform. The approach is illustrated first on a small example. A realistic case study is also developed. It is modeled by several timed automata synchronizing through channels and including a large number of time constraints. Both systems have been simulated in UPPAAL and checked against the required behavioral properties.

Neuroimaging of epilepsy: lesions, networks, oscillations

While analysis and interpretation of structural epileptogenic lesion is an essential task for the neuroradiologist in clinical practice, a substantial body of epilepsy research has shown that focal lesions influence brain areas beyond the epileptogenic lesion, across ensembles of functionally and anatomically connected brain areas. In this review article, we aim to provide an overview about altered network compositions in epilepsy, as measured with current advanced neuroimaging techniques to characterize the initiation and spread of epileptic activity in the brain with multimodal noninvasive imaging techniques. We focus on resting-state functional magnetic resonance imaging (MRI) and simultaneous electroencephalography/fMRI, and oppose the findings in idiopathic generalized versus focal epilepsies. These data indicate that circumscribed epileptogenic lesions can have extended effects on many brain systems. Although epileptic seizures may involve various brain areas, seizure activity does not spread diffusely throughout the brain but propagates along specific anatomic pathways that characterize the underlying epilepsy syndrome. Such a functionally oriented approach may help to better understand a range of clinical phenomena such as the type of cognitive impairment, the development of pharmacoresistance, the propagation pathways of seizures, or the success of epilepsy surgery.