The timing of exploratory decision-making revealed by single-trial topographic EEGanalyses.

Decision-making in an uncertain environment is driven by two major needs: exploring the environment to gather information or exploiting acquired knowledge to maximize reward. The neural processes underlying exploratory decision-making have been mainly studied by means of functional magnetic resonance imaging, overlooking any information about the time when decisions are made. Here, we carried out an electroencephalography (EEG) experiment, in order to detect the time when the brain generators responsible for these decisions have been sufficiently activated to lead to the next decision. Our analyses, based on a classification scheme, extract time-unlocked voltage topographies during reward presentation and use them to predict the type of decisions made on the subsequent trial. Classification accuracy, measured as the area under the Receiver Operator's Characteristic curve was on average 0.65 across 7 subjects. Classification accuracy was above chance levels already after 516 ms on average, across subjects. We speculate that decisions were already made before this critical period, as confirmed by a positive correlation with reaction times across subjects. On an individual subject basis, distributed source estimations were performed on the extracted topographies to statistically evaluate the neural correlates of decision-making. For trials leading to exploration, there was significantly higher activity in dorsolateral prefrontal cortex and the right supramarginal gyrus; areas responsible for modulating behavior under risk and deduction. No area was more active during exploitation. We show for the first time the temporal evolution of differential patterns of brain activation in an exploratory decision-making task on a single-trial basis.

Neural plasticity associated with recently versus often heard objects.

In natural settings the same sound source is often heard repeatedly, with variations in spectro-temporal and spatial characteristics. We investigated how such repetitions influence sound representations and in particular how auditory cortices keep track of recently vs. often heard objects. A set of 40 environmental sounds was presented twice, i.e. as prime and as repeat, while subjects categorized the corresponding sound sources as living vs. non-living. Electrical neuroimaging analyses were applied to auditory evoked potentials (AEPs) comparing primes vs. repeats (effect of presentation) and the four experimental sections. Dynamic analysis of distributed source estimations revealed i) a significant main effect of presentation within the left temporal convexity at 164-215ms post-stimulus onset; and ii) a significant main effect of section in the right temporo-parietal junction at 166-213ms. A 3-way repeated measures ANOVA (hemisphere×presentation×section) applied to neural activity of the above clusters during the common time window confirmed the specificity of the left hemisphere for the effect of presentation, but not that of the right hemisphere for the effect of section. In conclusion, spatio-temporal dynamics of neural activity encode the temporal history of exposure to sound objects. Rapidly occurring plastic changes within the semantic representations of the left hemisphere keep track of objects heard a few seconds before, independent of the more general sound exposure history. Progressively occurring and more long-lasting plastic changes occurring predominantly within right hemispheric networks, which are known to code for perceptual, semantic and spatial aspects of sound objects, keep track of multiple exposures.

Temporal dynamics of auditory what and where processing in humans

Recent evidence suggests the human auditory system is organized,like the visual system, into a ventral 'what' pathway, devoted toidentifying objects and a dorsal 'where' pathway devoted to thelocalization of objects in space w1x. Several brain regions have beenidentified in these two different pathways, but until now little isknown about the temporal dynamics of these regions. We investigatedthis issue using 128-channel auditory evoked potentials(AEPs).Stimuli were stationary sounds created by varying interaural timedifferences and environmental real recorded sounds. Stimuli ofeach condition (localization, recognition) were presented throughearphones in a blocked design, while subjects determined theirposition or meaning, respectively.AEPs were analyzed in terms of their topographical scalp potentialdistributions (segmentation maps) and underlying neuronalgenerators (source estimation) w2x.Fourteen scalp potential distributions (maps) best explained theentire data set.Ten maps were nonspecific (associated with auditory stimulationin general), two were specific for sound localization and two werespecific for sound recognition (P-values ranging from 0.02 to0.045).Condition-specific maps appeared at two distinct time periods:;200 ms and ;375-550 ms post-stimulus.The brain sources associated with the maps specific for soundlocalization were mainly situated in the inferior frontal cortices,confirming previous findings w3x. The sources associated withsound recognition were predominantly located in the temporal cortices,with a weaker activation in the frontal cortex.The data show that sound localization and sound recognitionengage different brain networks that are apparent at two distincttime periods.References1. Maeder et al. Neuroimage 2001.2. Michel et al. Brain Research Review 2001.3. Ducommun et al. Neuroimage 2002.

Interhemispheric coupling between the posterior sylvian regions impacts successful auditory temporal order judgment.

Accurate perception of the temporal order of sensory events is a prerequisite in numerous functions ranging from language comprehension to motor coordination. We investigated the spatio-temporal brain dynamics of auditory temporal order judgment (aTOJ) using electrical neuroimaging analyses of auditory evoked potentials (AEPs) recorded while participants completed a near-threshold task requiring spatial discrimination of left-right and right-left sound sequences. AEPs to sound pairs modulated topographically as a function of aTOJ accuracy over the 39-77ms post-stimulus period, indicating the engagement of distinct configurations of brain networks during early auditory processing stages. Source estimations revealed that accurate and inaccurate performance were linked to bilateral posterior sylvian regions activity (PSR). However, activity within left, but not right, PSR predicted behavioral performance suggesting that left PSR activity during early encoding phases of pairs of auditory spatial stimuli appears critical for the perception of their order of occurrence. Correlation analyses of source estimations further revealed that activity between left and right PSR was significantly correlated in the inaccurate but not accurate condition, indicating that aTOJ accuracy depends on the functional decoupling between homotopic PSR areas. These results support a model of temporal order processing wherein behaviorally relevant temporal information--i.e. a temporal 'stamp'--is extracted within the early stages of cortical processes within left PSR but critically modulated by inputs from right PSR. We discuss our results with regard to current models of temporal of temporal order processing, namely gating and latency mechanisms.

Glutathione deficit in schizophrenia: strategies to increase glutathione levels in " in vitro " and clinical studies

Summary: Decrease in glutathione (GSH) levels was observed in cerebrospinal fluid, prefrontal cortex and post-mortem striatum of schizophrenia patients. Evidences suggest a defect in GSH synthesis at the levels of the rate-limiting synthesizing enzyme, glutamate cysteine ligase (GCL). Indeed, polymorphisms in the gene of the modifier subunit of GCL (GCLM) was shown to be associated with the disease in three different populations, GCLM gene expression is decreaséd in fibroblasts from patients and the increase in GCL activity induced by an oxidative stress is lower in patients' fibroblasts compared to controls. GSH being a major antioxydant and redox regulator, its presence is of high importance for protecting cells against oxidative stress. The aim of the present work was to use various substances to increase GSH levels by diverse strategies. Since the synthesizing enzyme GCL is defective, bypassing this enzyme was the first strategy we used. GSH ethyl ester (GSHEE), a membrane permeable analog of GSH, succeeded in replenishing GSH levels in cultured neurons and astrocytes previously depleted in GSH by L-buthionine-(S,R)-sulfoximine (BSO), an inhibitor of GCL. GSHEE also abolished dopamine-induced decrease of NMDA-mediated calcium response observed in BSO-treated neurons. y-Glutamylcysteine ethyl ester (GCSE), a membrane permeable analog of the product of GCL, increased GSH levels only in astrocytes. The second strategy was to boost the defective enzyme GCL. While quercetin (flavonoid) could increase GSH levels only in astrocytes, curcumin (polyphenol) and tertbutylhydroquinone (quinone) were successful in both neurons and astrocytes, via an increase in the gene expression of the two subunits of GCL and, consequently, an increase in the activity of the enzyme. However, FK506, an immunosupressant, was unefficient. Treating astrocytes from GCLM KO mice showed that the modulatory subunit is necessary for the action of the substances. Finally, since cysteine is the limiting precursor in the synthesis of GSH, we hypothesized that we could increase GSH levels by providing more of this precursor. N-acetyl-cysteine (NAC), a cysteine donor, was administered to schizophrenia patients, using adouble-blind and cross-over protocol. NAC significantly improved the mismatch negativity (MMN), a component of the auditory evoked potentials, thought to reflect selective current flowing through open, unblocked NMDA channels. Considering that NMDA function is reduced when GSH levels are low, increasing these levels with NAC could improve NMDA function as reflected by the improvement in the generation of the MMN. Résumé: Les taux de glutathion (GSH) dans le liquide céphalo-rachidien, le cortex préfrontal ainsi que le striatum post-mortem de patients schizophrènes, sont diminués. L'enzyme limitante dans la synthèse du GSH, la glutamyl-cysteine ligase (GCL), est défectueuse. En effet, des polymorphismes dans le gène de la sous-unité modulatrice de GCL (GCLM) sont associés à la maladie, l'expression du gène GCLM est diminuée dans les fibroblastes de patients et, lors d'un stress oxidative, l'augmentation de l'activité de GCL est plus faible chez les patients que chez les contrôles. Le GSH étant un important antioxydant et régulateur du status redox, sa présence est primordiale afin de protéger les cellules contre les stress oxydatifs. Au cours du présent travail, une variété de substances ont été utilisées dans le but d'augmenter les taux de GSH. Passer outre l'enzyme de synthèse GCL qui est défectueuse fut la première stratégie utilisée. L'éthylester de GSH (GSHEE), un analogue du GSH qui pénètre la membrane cellulaire, a augmenté les taux de GSH dans des neurones et des astrocytes déficitaires en GSH dû au L-buthionine-(S,R)-sulfoximine (BSO), un inhibiteur du GCL. Dans ces neurones, le GSHEE a aussi aboli la diminution de la réponse NMDA, induite parla dopamine. L'éthyl-ester de y-glutamylcysteine (GCEE), un analogue du produit de la GCL qui pénètre la membrane cellulaire, a augmenté les taux de GSH seulement dans les astrocytes. La seconde stratégie était d'augmenter l'activité de l'enzyme GCL. Tandis que la quercétine (flavonoïde) n'a pu augmenter les taux de GSH que dans les astrocytes, la curcumin (polyphénol) et le tert-butylhydroquinone (quinone) furent efficaces dans les deux types de cellules, via une augmentation de l'expression des gènes des deux sous-unités de GCL et de l'activité de l'enzyme. Le FK506 (immunosupresseur) n' a démontré aucune efficacité. Traiter des astrocytes provenant de souris GCLM KO a permis d'observer que la sous-unité modulatoire est nécessaire à l'action des substances. Enfin, puisque la cysteine est le substrat limitant dans la synthèse du GSH, fournir plus de ce présurseur pourrait augmenter les taux de GSH. Nacétyl-cystéine (NAC), un donneur de cystéine, a été administrée à des schizophrènes, lors d'une étude en double-aveugle et cross-over. NAC a amélioré le mismatch negativity (MMN), un composant des potentials évoqués auditifs, qui reflète le courant circulant via les canaux NMDA. Puisque la fonctionnalité des R-NMDA est diminuée lorsque les taux de GSH sont bas, augmenter ces taux avec NAC pourrait améliorer la fonction des R-NMDA, réflété par une augmentation de l'amplitude du MMN.

Predicting neurological outcome after cardiac arrest.

Purpose of reviewTherapeutic hypothermia and aggressive management of postresuscitation disease considerably improved outcome after adult cardiac arrest over the past decade. However, therapeutic hypothermia alters prognostic accuracy. Parameters for outcome prediction, validated by the American Academy of Neurology before the introduction of therapeutic hypothermia, need further update.Recent findingsTherapeutic hypothermia delays the recovery of motor responses and may render clinical evaluation unreliable. Additional modalities are required to predict prognosis after cardiac arrest and therapeutic hypothermia. Electroencephalography (EEG) can be performed during therapeutic hypothermia or shortly thereafter; continuous/reactive EEG background strongly predicts good recovery from cardiac arrest. On the contrary, unreactive/spontaneous burst-suppression EEG pattern, together with absent N20 on somatosensory evoked potentials (SSEP), is almost 100% predictive of irreversible coma. Therapeutic hypothermia alters the predictive value of serum markers of brain injury [neuron-specific enolase (NSE), S-100B]. Good recovery can occur despite NSE levels >33 mu g/l, thus this cut-off value should not be used to guide therapy. Diffusion MRI may help predicting long-term neurological sequelae of hypoxic-ischemic encephalopathy.SummaryAwakening from postanoxic coma is increasingly observed, despite early absence of motor signs and frank elevation of serum markers of brain injury. A new multimodal approach to prognostication is therefore required, which may particularly improve early prediction of favorable clinical evolution after cardiac arrest.

Decoding auditory EEG responses in healthy and clinical populations: A comparative study.

BACKGROUND: Analyses of brain responses to external stimuli are typically based on the means computed across conditions. However in many cognitive and clinical applications, taking into account their variability across trials has turned out to be statistically more sensitive than comparing their means. NEW METHOD: In this study we present a novel implementation of a single-trial topographic analysis (STTA) for discriminating auditory evoked potentials at predefined time-windows. This analysis has been previously introduced for extracting spatio-temporal features at the level of the whole neural response. Adapting the STTA on specific time windows is an essential step for comparing its performance to other time-window based algorithms. RESULTS: We analyzed responses to standard vs. deviant sounds and showed that the new implementation of the STTA gives above-chance decoding results in all subjects (in comparison to 7 out of 11 with the original method). In comatose patients, the improvement of the decoding performance was even more pronounced than in healthy controls and doubled the number of significant results. COMPARISON WITH EXISTING METHOD(S): We compared the results obtained with the new STTA to those based on a logistic regression in healthy controls and patients. We showed that the first of these two comparisons provided a better performance of the logistic regression; however only the new STTA provided significant results in comatose patients at group level. CONCLUSIONS: Our results provide quantitative evidence that a systematic investigation of the accuracy of established methods in normal and clinical population is an essential step for optimizing decoding performance.

Survey on current practices for neurological prognostication after cardiac arrest.

PURPOSE: To investigate current practices and timing of neurological prognostication in comatose cardiac arrest patients. METHODS: An anonymous questionnaire was distributed to the 8000 members of the European Society of Intensive Care Medicine during September and October 2012. The survey had 27 questions divided into three categories: background data, clinical data, decision-making and consequences. RESULTS: A total of 1025 respondents (13%) answered the survey with complete forms in more than 90%. Twenty per cent of respondents practiced outside of Europe. Overall, 22% answered that they had national recommendations, with the highest percentage in the Netherlands (>80%). Eighty-nine per cent used induced hypothermia (32-34 °C) for comatose cardiac arrest patients, while 11% did not. Twenty per cent had separate prognostication protocols for hypothermia patients. Seventy-nine per cent recognized that neurological examination alone is not enough to predict outcome and a similar number (76%) used additional methods. Intermittent electroencephalography (EEG), brain computed tomography (CT) scan and evoked potentials (EP) were considered most useful. Poor prognosis was defined as cerebral performance category (CPC) 3-5 (58%) or CPC 4-5 (39%) or other (3%). When prognosis was considered poor, 73% would actively withdraw intensive care while 20% would not and 7% were uncertain. CONCLUSION: National recommendations for neurological prognostication after cardiac arrest are uncommon and only one physician out of five uses a separate protocol for hypothermia treated patients. A neurological examination alone was considered insufficient to predict outcome in comatose patients and most respondents advocated a multimodal approach: EEG, brain CT and EP were considered most useful. Uncertainty regarding neurological prognostication and decisions on level of care was substantial.

From bird to sparrow: Learning-induced modulations in fine-grained semantic discrimination.

Recognition of environmental sounds is believed to proceed through discrimination steps from broad to more narrow categories. Very little is known about the neural processes that underlie fine-grained discrimination within narrow categories or about their plasticity in relation to newly acquired expertise. We investigated how the cortical representation of birdsongs is modulated by brief training to recognize individual species. During a 60-minute session, participants learned to recognize a set of birdsongs; they improved significantly their performance for trained (T) but not control species (C), which were counterbalanced across participants. Auditory evoked potentials (AEPs) were recorded during pre- and post-training sessions. Pre vs. post changes in AEPs were significantly different between T and C i) at 206-232ms post stimulus onset within a cluster on the anterior part of the left superior temporal gyrus; ii) at 246-291ms in the left middle frontal gyrus; and iii) 512-545ms in the left middle temporal gyrus as well as bilaterally in the cingulate cortex. All effects were driven by weaker activity for T than C species. Thus, expertise in discriminating T species modulated early stages of semantic processing, during and immediately after the time window that sustains the discrimination between human vs. animal vocalizations. Moreover, the training-induced plasticity is reflected by the sharpening of a left lateralized semantic network, including the anterior part of the temporal convexity and the frontal cortex. Training to identify birdsongs influenced, however, also the processing of C species, but at a much later stage. Correct discrimination of untrained sounds seems to require an additional step which results from lower-level features analysis such as apperception. We therefore suggest that the access to objects within an auditory semantic category is different and depends on subject's level of expertise. More specifically, correct intra-categorical auditory discrimination for untrained items follows the temporal hierarchy and transpires in a late stage of semantic processing. On the other hand, correct categorization of individually trained stimuli occurs earlier, during a period contemporaneous with human vs. animal vocalization discrimination, and involves a parallel semantic pathway requiring expertise.

How to monitor the brain in septic patients?

Brain injury is frequently observed after sepsis and may be primarily related to the direct effects of the septic insult on the brain (e.g., brain edema, ischemia, seizures) or to secondary/indirect injuries (e.g., hypotension, hypoxemia, hypocapnia, hyperglycemia). Management of brain injury in septic patients is first focused to exclude structural intracranial complications (e.g., ischemic/hemorrhagic stroke) and possible confounders (e.g., electrolyte alterations or metabolic disorders, such as dysglycemia). Sepsis-associated brain dysfunction is frequently a heterogeneous syndrome. Despite increasing understanding of main pathophysiologic determinants, therapy is essentially limited to protect the brain against further cerebral damage, by way of "simple" therapeutic manipulations of cerebral perfusion and oxygenation and by avoiding over-sedation. Non-invasive monitoring of cerebral perfusion and oxygenation with transcranial Doppler (TCD) and near-infrared spectroscopy (NIRS) is feasible in septic patients. Electroencephalography (EEG) allows detection of sepsis-related seizures and holds promise also as sedation monitoring. Brain CT-scan detects intra-cerebral structural lesions, while magnetic resonance imaging (MRI) provides important insights into primary mechanisms of sepsis-related direct brain injury, (e.g., cytotoxic vs. vasogenic edema) and the development of posterior reversible encephalopathy. Together with EEG and evoked potentials (EP), MRI is also important for coma prognostication. Emerging clinical evidence suggests monitoring of the brain in septic patients can be implemented in the ICU. The objective of this review was to summarize recent clinical data about the role of brain monitoring - including TCD, NIRS, EEG, EP, CT, and MRI - in patients with sepsis and to illustrate its potential utility for the diagnosis, management and prognostication.

Potenciales evocados como marcadores de riesgo al alcoholismo

En este informe se presenta una revisión de trabajos acerca de la utilización de distintos componentes de los potenciales evocados como marcadores de riesgo para desarrollar alcoholisrno. Los jóvenes procedentes de familias con antecedentes de alcoholismo presentan anomalías en la amplitud de P3 semejantes a las observadas en alcohólicos crónicos abstinentes. La infuencia de factores genéticos sobre las características de este componente y sobre la aparición de la adicción, hacen de P3 un posible marcador genético de riesgo. También se discute la posible utilidad de otros componentes y de la respuesta de aumento/reducción.

Clinical neurophysiology in disorders of consciousness: brain function monitoring in the ICU and beyond.

Over the past two decades, electrophysiology has undergone unprecedented changes thanks to technical improvements, which simplify measurement and analysis and allow more compact data storage. This book covers in detail the spectrum of electrophysiology applications in patients with disorders of consciousness. Its content spans from clinical aspects of the management of subjects in the intensive care unit, including EEG, evoked potentials and related implications in terms of prognosis and patient management to research applications in subjects with ongoing consciousness impairment. While the first section provides up-to-date information for the interested clinician, the second part highlights the latest developments in this exciting field. The book comprehensively combines clinical and research information related to neurophysiology in disorder-of- consciousness patients, making it an easily accessible reference for neuro-ICU specialists, epileptologists and clinical neurophysiologists as well as researchers utilizing EEG and event-related potentials.

Coma post-anoxique après arrêt cardiaque et hypothermie, peut-on encore prédire le pronostic en 2014 ?

L'encéphalopathie post-anoxique après arrêt cardiaque (AC) est une cause féquente d'admission pour coma en réanimation. Depuis les recommandations de 2003, l'hypothermie thérapeutique (HT) est devenue un standard de traitement après AC et est à l'origine de l'amélioration du pronostic au cours de cette derniere décennie. Les élements prédicteurs de pronostic validés par l'Académie Américaine de Neurologie avant l'ère de l'HT sont devenus moins précis. En effet, l'HT et la sédation retardent la reprise de la réponse motrice et peuvent altérer la valeur prédictive des réflexes du tronc cérébral. Une nouvelle approche est nécessaire pour établir un pronostic après AC et HT. L'enregistrement (pendant l'HTou peu après) d'une activité électroencéphalographique réactive et/ou continue est un bon prédicteur de récupération neurologique favorable après AC. Au contraire, la présence d'un tracé non réactif ou discontinu de type burst-suppression, avec une réponse N20 absente bilatérale aux potentiels évoqués somatosensoriels, sont presqu'à 100 % prédictifs d'un coma irréversible déjà à 48 heures après AC. L'HT modifie aussi la valeur prédictive de l'énolase neuronale spécifique (NSE), principal biomarqueur sérique de la lésion cérébrale post-anoxique. Un réveil avec bonne récupération neurologique a été récemment observé par plusieurs groupes chez des patients présentant des valeurs de NSE>33 μg/L à 48-72 heures : ce seuil ne doit pas être utilisé seul pour guider le traitement. L'imagerie par résonance magnétique de diffusion peut aider à prédire les séquelles neurologiques à long terme. Un réveil chez les patients en coma post-anoxique est de plus en plus observé, malgré l'absence précoce de signes moteurs et une élévation franche des biomarqueurs neuronaux. En 2014, une nouvelle approche multimodale du pronostic est donc nécessaire, pour optimiser la prédiction d'une évolution clinique favorable après AC. Hypoxic-ischemic encephalopathy after cardiac arrest (CA) is a frequent cause of intensive care unit (ICU) admission. Incorporated in all recent guidelines, therapeutic hypothermia (TH) has become a standard of care and has contributed to improve prognosis after CA during the past decade. The accuracy of prognostic predictors validated in 2006 by the American Academy of Neurology before the era of TH is less accurate. Indeed, TH and sedation may delay the recovery of motor response and alter the predictive value of brainstem reflexes. A new approach is needed to accurately establish prognosis after CA and TH. A reactive and/or continuous electroencephalogram background (during TH or shortly thereafter) strongly predicts good outcome. On the contrary, unreactive/spontaneous burst-suppression electroencephalogram pattern, together with absent N20 on somatosensory evoked potentials, is almost 100% predictive of irreversible coma. TH also affects the predictive value of neuronspecific enolase (NSE), the main serum biomarker of postanoxic injury. A good outcome can occur despite NSE levels >33 μg/L, so this cutoff value should not be used alone to guide treatment. Diffusion magnetic resonance imagery may help predict long-term neurological sequelae. Awakening from postanoxic coma is increasingly observed, despite the absence of early motor signs and pathological elevation of NSE. In 2014, a multimodal approach to prognosis is recommended to optimize the prediction of outcome after CA.

Theta EEG oscillatory activity and auditory change detection

The mismatch negativity is an electrophysiological marker of auditory change detection in the event-related brain potential and has been proposed to reflect an automatic comparison process between an incoming stimulus and the representation of prior items in a sequence. There is evidence for two main functional subcomponents comprising the MMN, generated by temporal and frontal brain areas, respectively. Using data obtained in an MMN paradigm, we performed time-frequency analysis to reveal the changes in oscillatory neural activity in the theta band. The results suggest that the frontal component of the MMN is brought about by an increase in theta power for the deviant trials and, possibly, by an additional contribution of theta phase alignment. By contrast, the temporal component of the MMN, best seen in recordings from mastoid electrodes, is generated by phase resetting of theta rhythm with no concomitant power modulation. Thus, frontal and temporal MMN components do not only differ with regard to their functional significance but also appear to be generated by distinct neurophysiological mechanisms.

Brain dynamics sustaining rapid rule extraction from speech

Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key role during language learning. In particular, studying these dynamics may help uncover whether different oscillatory patterns sustain more item-based learning of words and rule-based learning from speech input. Therefore, we tracked the modulation of oscillatory neural activity during the initial exposure to an artificial language, which contained embedded rules. We analyzed both spectral power variations, as a measure of local neuronal ensemble synchronization, as well as phase coherence patterns, as an index of the long-range coordination of these local groups of neurons. Synchronized activity in the gamma band (2040 Hz), previously reported to be related to the engagement of selective attention, showed a clear dissociation of local power and phase coherence between distant regions. In this frequency range, local synchrony characterized the subjects who were focused on word identification and was accompanied by increased coherence in the theta band (48 Hz). Only those subjects who were able to learn the embedded rules showed increased gamma band phase coherence between frontal, temporal, and parietal regions.