Brain-behavior correlates of optimizing learning through interleaved practice

Understanding how to make learning more efficient and effective is an important goal in behavioral neuroscience. The notion of "desirable difficulties" asserts that challenges for learners during study result in superior learning. One "desirable difficulty" that has a robust benefit on learning is contextual interference (CI), in which different tasks are practiced in an interleaved order rather than in a repetitive order. This study is the first to combine functional imaging and paired-pulse transcranial magnetic stimulation to analyze the neural basis of the CI effect in skill learning. Difficulty during practice of a serial reaction time task was manipulated by presenting sequences of response locations in a repetitive or an interleaved order. Participants practiced 3 sequences for 2 days and were tested on day 5 to examine sequence-specific learning. During practice, slower response times (RT), greater frontal-parietal blood-oxygen-level-dependent (BOLD) signal, and higher motor cortex (M1) excitability were found in the interleaved condition compared to the repetitive condition. Consistent with the CI effect, we found faster RT, decreased BOLD signal in frontal-parietal regions, and greater M1 excitability during the day 5 retention task when subjects had practiced interleaved sequences. Correlation analyses indicated that greater BOLD signal in contralateral sensorimotor region and M1 excitability during interleaved practice were interrelated. Furthermore, greater BOLD signal in prefrontal, premotor and parietal areas and greater M1 excitability during interleaved practice correlated with the benefit of interleaved practice on retention. This demonstrates that interleaved practice induces interrelated changes in both cortical hemodynamic responses and M1 excitability, which likely index the formation of enhanced memory traces and efficient long-term retrieval.     

Top-down biases win against focal attention in the fusiform face area

Many studies have reported that BOLD activity in visual cortex is enhanced in the presence of selective attention. These reports are seemingly at odds with psychophysical data showing that observers are able to efficiently categorize natural stimuli in the near-absence of focal attention. To reconcile these two lines of evidence, we study the effects of attentional modulation on face-selective responses in the fusiform face area (FFA) using fMRI. Different from previous fMRI studies in which an "attended" condition (where subjects make a behavioral report on faces) is compared to an "unattended" condition (where the faces are task irrelevant), we included a third condition in which focal attention was not fully available to the faces yet they remained task relevant. Thus we were able to distinguish between the effects of spatial attention and a task-based component of attention. Whether or not subjects had to spatially attend to the faces made no difference to the amplitude of BOLD activity in the FFA provided the faces had to be discriminated. As expected, we observed a decrease in BOLD activity in the FFA when faces were task irrelevant. This pattern of modulation of the BOLD response as a function of the subject's behavior was region specific as it did not extend to the parahippocampal place area. These results point to a coherent picture of how spatial attention and top-down task-based attention interact in visual cortex.     

Remembering forward: neural correlates of memory and prediction in human motor adaptation

We used functional MR imaging (FMRI), a robotic manipulandum and systems identification techniques to examine neural correlates of predictive compensation for spring-like loads during goal-directed wrist movements in neurologically-intact humans. Although load changed unpredictably from one trial to the next, subjects nevertheless used sensorimotor memories from recent movements to predict and compensate upcoming loads. Prediction enabled subjects to adapt performance so that the task was accomplished with minimum effort. Population analyses of functional images revealed a distributed, bilateral network of cortical and subcortical activity supporting predictive load compensation during visual target capture. Cortical regions - including prefrontal, parietal and hippocampal cortices - exhibited trial-by-trial fluctuations in BOLD signal consistent with the storage and recall of sensorimotor memories or “states” important for spatial working memory. Bilateral activations in associative regions of the striatum demonstrated temporal correlation with the magnitude of kinematic performance error (a signal that could drive reward-optimizing reinforcement learning and the prospective scaling of previously learned motor programs). BOLD signal correlations with load prediction were observed in the cerebellar cortex and red nuclei (consistent with the idea that these structures generate adaptive fusimotor signals facilitating cancelation of expected proprioceptive feedback, as required for conditional feedback adjustments to ongoing motor commands and feedback error learning). Analysis of single subject images revealed that predictive activity was at least as likely to be observed in more than one of these neural systems as in just one. We conclude therefore that motor adaptation is mediated by predictive compensations supported by multiple, distributed, cortical and subcortical structures.     

Attenuation of brain response to heroin correlates with the reinstatement of heroin-seeking in rats by fMRI

Thirty male Sprague-Dawley rats were divided into two groups and trained to self-administer either saline (n = 14) or heroin (0.1 mg/kg per injection, n = 16) for 10-12 days until a stable self-administration (SA) behavior was achieved. After 8-9 days of withdrawal, each group was divided into two subgroups for reinstatement tests and functional magnetic resonance image (fMRI) scanning, respectively, to determine the neural correlates of the reinstatement of heroin-seeking behavior. For reinstatement testing, heroin-SA rats (n = 10) displayed robust reinstatement of drug-seeking behavior triggered by an acute heroin priming injection, whereas saline control rats (n = 8) did not show such a behavioral response. Regional positive or negative blood oxygen level-dependent (BOLD) signals, induced by heroin priming injection, were observed in both groups of rats during fMRI scanning. However, such heroin-induced positive BOLD signal primarily in the prefrontal cortex and parietal cortex was significantly attenuated in heroin-SA rats (n = 6) when compared to saline control rats (n = 6). Similarly, the heroin-induced negative BOLD signal in the subcortical regions, such as in the nucleus accumbens and hippocampus, was also significantly attenuated in both signal intensity and number of brain voxels activated in heroin-SA rats. These data demonstrate that heroin-induced reinstatement of drug-seeking behavior coincides with a significant, enduring reduction in opiate-induced brain activity in heroin-SA rats, suggesting a possible role of opiate tolerance in mediating reinstatement of drug-seeking behavior.     

Modelling the role of excitatory and inhibitory neuronal activity in the generation of the BOLD signal

A biophysical model of the coupling between neuronal activity and the BOLD signal that allows for explicitly evaluating the role of both excitatory and inhibitory activity is formulated in this paper. The model is based on several physiological assumptions. Firstly, in addition to glycolysis, the "glycogen shunt" is assumed for excitatory synapses as a mechanism for energy production in the astrocytes. As a result, oxygen-to-glucose index (OGI) is not constant but varies with excitatory neuronal activity. In contrast, a constant OGI=6 (glycolysis) is assumed for inhibitory synapses. Finally we assume that cerebral blood flow is not directly controlled by energy usage, but it is only related to excitatory activity. Simulations' results show that increases in excitatory activity amplify the oscillations associated with the transient BOLD response, by increasing the initial dip, the maximum, and the post-stimulus undershoot of the signal. In contrast, increasing the inhibitory activity evoked an overall decrease of the BOLD signal along the whole time interval of the response. Simultaneous increase of both types of activity is then expected to reinforce the initial dip and the post-stimulus undershoot, while respective effects on the maximum tend to counteract each other. Two mechanisms for negative BOLD response (NBS) generation were predicted by the model: (i) when inhibition was present alone or together with low activation levels and (ii) when deactivation occurred independently of the accompanying inhibition level. Interestingly, NBS was associated with negative oxygen consumption changes only for the case of mechanism (ii).     

Negative covariation between task-related responses in alpha/beta-band activity and BOLD in human sensorimotor cortex: An EEG and fMRI study of motor imagery and movements

Similar to the occipital alpha rhythm, electroencephalographic (EEG) signals in the alpha- and beta-frequency bands can be suppressed by movement or motor imagery and have thus been thought to represent the “idling state” of the sensorimotor cortex. A negative correlation between spontaneous alpha EEG and blood-oxygen-level-dependent (BOLD) signals has been reported in combined EEG and fMRI (functional Magnetic Resonance Imaging) experiments when subjects stayed at the resting state or alternated between the resting state and a task. However, the precise nature of the task-induced alpha modulation remains elusive. It was not clear whether alpha/beta rhythm suppressions may co-vary with BOLD when conducting tasks involving varying activations of the cortex. Here, we quantified the task-evoked responses of BOLD and alpha/beta-band power of EEG directly in the cortical source domain, by using source imaging technology, and examined their covariation across task conditions in a mixed block and event-related design. In this study, 13 subjects performed tasks of right-hand, right-foot or left-hand movement and motor imagery when EEG and fMRI data were separately collected. Task-induced increase of BOLD signal and decrease of EEG amplitudes in alpha and beta bands were shown to be co-localized at the somatotopic sensorimotor cortex. At the corresponding regions, the reciprocal changes of the two signals co-varied in the magnitudes across imagination and movement conditions. The spatial correspondence and negative covariation between the two measurements were further shown to exist at somatotopic brain regions associated with different body parts. These results suggest an inverse functional coupling relationship between task-induced changes of BOLD and low-frequency EEG signals.     

Task demand modulations of visuospatial processing measured with functional magnetic resonance imaging

Brain imaging based on functional magnetic resonance imaging (fMRI) provides a useful tool to examine neural networks and cerebral structures subserving visuospatial function. It allows not only the qualitative determination of which areas are active during task processing, but also estimates the quantitative contribution of involved brain regions to different aspects of spatial processing. In this study, we investigated in 10 healthy subjects how the amount of task (computational) demand in an angle discrimination task was related to neural activity as measured with event-related fMRI. Task demand, indicated by behavioral performance, was modulated by presenting clocks with different angular disparity and length of hands. Significant activations were found in the cortical network subserving the visual and visuospatial processing, including the right and left superior parietal lobules (SPL), striate visual areas, and sensorimotor areas. Both blood oxygenation level-dependent (BOLD) signal strength and spatial extent of activation in right as well as left SPL increased with task demand. By contrast, no significant correlation or a very weak correlation was found between the task demand and the BOLD signal as well as between task demand and spatial extent of activations in the striate visual areas and in the sensorimotor areas. These results support the hypothesis that increased computational demand requires more brain resources. The brain regions that are most specialized for the execution of the visuospatial task can be assessed by relating the imposed task demand to the functional activation measured.     

Paired pulse depression in the somatosensory cortex: associations between MEG and BOLD fMRI

Interpretation of the blood oxygen level dependent (BOLD) response measured using functional magnetic resonance imaging (fMRI) requires an understanding of the underlying neuronal activity. Here we report on a study using both magnetoencephalography (MEG) and BOLD fMRI, to measure the brain's functional response to electrical stimulation of the median nerve in a paired pulse paradigm. Interstimulus Intervals (ISIs) of 0.25, 0.5, 0.75, 1.0, 1.5 and 2.0 s are used to investigate how the MEG detected neural response to a second pulse is affected by that from a preceding pulse and if these MEG modulations are reflected in the BOLD response. We focus on neural oscillatory activity in the β-band (13-30 Hz) and the P35m component of the signal averaged evoked response in the sensorimotor cortex. A spatial separation of β ERD and ERS following each pulse is demonstrated suggesting that these two effects arise from separate neural generators, with ERS exhibiting a closer spatial relationship with the BOLD response. The spatial distribution and extent of BOLD activity were unaffected by ISI, but modulations in peak amplitude and latency were observed. Non-linearities in both induced oscillatory activity ERS and in the signal averaged evoked response are found for ISIs of up to 2 s when the signal averaged evoked response has returned to baseline, with the P35m component displaying paired pulse depression effects. The β-band ERS magnitude was modulated by ISI, however the ERD magnitude was not. These results support the assumption that BOLD non-linearity arises not only from a non-linear vascular response to neural activity but also a non-linear neural response to the stimulus with ISI up to 2 s.     

Neural substrates of the interaction of emotional stimulus processing and motor inhibitory control: an emotional linguistic go/no-go fMRI study

Neural substrates of behavioral inhibitory control have been probed in a variety of animal model, physiologic, behavioral, and imaging studies, many emphasizing the role of prefrontal circuits. Likewise, the neurocircuitry of emotion has been investigated from a variety of perspectives. Recently, neural mechanisms mediating the interaction of emotion and behavioral regulation have become the focus of intense study. To further define neurocircuitry specifically underlying the interaction between emotional processing and response inhibition, we developed an emotional linguistic go/no-go fMRI paradigm with a factorial block design which joins explicit inhibitory task demand (i.e., go or no-go) with task-unrelated incidental emotional stimulus valence manipulation, to probe the modulation of the former by the latter. In this study of normal subjects focusing on negative emotional processing, we hypothesized activity changes in specific frontal neocortical and limbic regions reflecting modulation of response inhibition by negative stimulus processing. We observed common fronto-limbic activations (including orbitofrontal cortical and amygdalar components) associated with the interaction of emotional stimulus processing and response suppression. Further, we found a distributed cortico-limbic network to be a candidate neural substrate for the interaction of negative valence-specific processing and inhibitory task demand. These findings have implications for elucidating neural mechanisms of emotional modulation of behavioral control, with relevance to a variety of neuropsychiatric disease states marked by behavioral dysregulation within the context of negative emotional processing.     

Optimizing the experimental design for ankle dorsiflexion fMRI

Compared to motor studies of the upper limb, few experiments have sought a relationship between blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) sensorimotor signals and the resulting lower limb output. In Experiment 1, using an fMRI simulator system, we determined the optimized experimental protocol based on two design types and four behavioral movement types during ankle dorsiflexion. Experiment 2 involved testing the BOLD sensitivity at 1.5 T during ankle movements. Subjects performed large- and small-amplitude dorsiflexion movement types using an event-related design, with the intent of contrasting spatial and temporal features of the BOLD signal. In both experiments, the subject's behavior was guided by visual biofeedback of their ankle flexion angle, using an MR-compatible fiberoptic tape. From Experiment 1, we found electromyography (EMG) difference voltage ratio of approximately 2:1 for large (40 degrees ) and small (15 degrees ) dorsiflexion, 0.13 mV and 0.07 mV, respectively. In Experimental 2, we found the peak BOLD % signal changes of 1.04% and 0.89%, for large (40 degrees ) and small (15 degrees ) dorsiflexion, respectively. In addition, graded dorsiflexion produced graded BOLD signals in the primary sensorimotor and supplementary motor areas in 10 of 12 healthy young subjects, attesting to the feasibility of lower-limb fMRI at 1.5 T. This study provides insight into the cortical network involved in dorsiflexion using an experimental paradigm that is likely to translate effectively to hemiparetic stroke subjects.     

de Bruijn cycles for neural decoding

Stimulus counterbalance is critical for studies of neural habituation, bias, anticipation, and (more generally) the effect of stimulus history and context. We introduce de Bruijn cycles, a class of combinatorial objects, as the ideal source of pseudo-random stimulus sequences with arbitrary levels of counterbalance. Neuro-vascular imaging studies (such as BOLD fMRI) have an additional requirement imposed by the filtering and noise properties of the method: only some temporal frequencies of neural modulation are detectable. Extant methods of generating counterbalanced stimulus sequences yield neural modulations that are weakly (or not at all) detected by BOLD fMRI. We solve this limitation using a novel "path-guided" approach for the generation of de Bruijn cycles. The algorithm encodes a hypothesized neural modulation of specific temporal frequency within the seemingly random order of events. By positioning the modulation between the signal and noise bands of the neuro-vascular imaging method, the resulting sequence markedly improves detection power. These sequences may be used to study stimulus context and history effects in a manner not previously possible.     

Caught in the act: the impact of audience on the neural response to morally and socially inappropriate behavior

We examined the impact of witnesses on the neural response to moral and social transgressions using fMRI. In this study, participants (N=16) read short vignettes describing moral and social transgressions in the presence or absence of an audience. In line with our hypothesis, ventrolateral (BA 47) and dorsomedial (BA 8) frontal cortex showed increased BOLD responses to moral transgressions regardless of audience and to social transgressions in the presence of an audience relative to neutral situations. These findings are consistent with the suggestion that these regions of prefrontal cortex modify behavioral responses in response to social cues. Greater activity was observed in left temporal-parietal junction, medial prefrontal cortex and temporal poles to moral and to a lesser extent social transgressions relative to neutral stories, regardless of audience. These regions have been implicated in the representation of the mental states of others (Theory of Mind). The presence of an audience was associated with increased left amygdala activity across all conditions.     

Prospects for quantitative fMRI: investigating the effects of caffeine on baseline oxygen metabolism and the response to a visual stimulus in humans

Functional magnetic resonance imaging (fMRI) provides an indirect reflection of neural activity change in the working brain through detection of blood oxygenation level dependent (BOLD) signal changes. Although widely used to map patterns of brain activation, fMRI has not yet met its potential for clinical and pharmacological studies due to difficulties in quantitatively interpreting the BOLD signal. This difficulty is due to the BOLD response being strongly modulated by two physiological factors in addition to the level of neural activity: the amount of deoxyhemoglobin present in the baseline state and the coupling ratio, n, of evoked changes in blood flow and oxygen metabolism. In this study, we used a quantitative fMRI approach with dual measurement of blood flow and BOLD responses to overcome these limitations and show that these two sources of modulation work in opposite directions following caffeine administration in healthy human subjects. A strong 27% reduction in baseline blood flow and a 22% increase in baseline oxygen metabolism after caffeine consumption led to a decrease in baseline blood oxygenation and were expected to increase the subsequent BOLD response to the visual stimulus. Opposing this, caffeine reduced n through a strong 61% increase in the evoked oxygen metabolism response to the visual stimulus. The combined effect was that BOLD responses pre- and post-caffeine were similar despite large underlying physiological changes, indicating that the magnitude of the BOLD response alone should not be interpreted as a direct measure of underlying neurophysiological changes. Instead, a quantitative methodology based on dual-echo measurement of blood flow and BOLD responses is a promising tool for applying fMRI to disease and drug studies in which both baseline conditions and the coupling of blood flow and oxygen metabolism responses to a stimulus may be altered.     

Subthreshold high-frequency TMS of human primary motor cortex modulates interconnected frontal motor areas as detected by interleaved fMRI-TMS

To elucidate changes in human brain activity evoked by repetitive transcranial magnetic stimulation (rTMS), sub- and suprathreshold rTMS (4 Hz, 10 s) over the left primary sensorimotor cortex (M1/S1) was interleaved with blood-oxygenation-level-dependent (BOLD) echo-planar imaging of primary and secondary motor areas. Suprathreshold rTMS over left M1/S1 caused marked increases in BOLD signal in the stimulated area and SMA-proper in seven of eight subjects. By contrast, we found no change in BOLD signal in the stimulated M1/S1, when rTMS was given at intensities that were subthreshold for inducing motor responses in the contralateral hand. However, five of eight subjects showed consistent increases in BOLD MRI signal in the SMA-proper and, to a lesser extent, in bilateral lateral premotor cortex (LPMC) during subthreshold rTMS. A decrease in BOLD MRI signal was found in contralateral (right) M1/S1 in 6/8 subjects across all conditions. No significant changes were observed in the pre-SMA. The results support the notion that BOLD MRI responses to suprathreshold rTMS over M1/S1 are dominated by neuronal activity related to reafferent processing of TMS-induced hand movements. At subthreshold intensity, a short train of high-frequency rTMS seems to predominantly modulate activity of corticocortical connections which link the stimulated area with remote frontal premotor areas.     

Attention strongly increases oxygen metabolic response to stimulus in primary visual cortex

Top-down attention enhances neural processing, but its effect on metabolic activity in primary visual cortex (V1) is unclear. Combined blood flow and oxygenation measurements provide the best tool for investigating modulations of oxidative metabolism. We measured the human V1 response to a peripheral low contrast stimulus using fMRI and found a larger fractional modulation of blood flow with attention compared to the blood oxygenation level dependent (BOLD) response, thus indicating a much larger modulation of oxygen metabolism than was previously thought. These findings point to different aspects of neural activity driving flow and metabolic changes to different degrees. We propose that V1 flow is driven strongly but not exclusively by the initial sensory-driven neural activity, which dominates the response in the unattended condition, while V1 oxygen metabolism is driven strongly by the overall neural activity, which is modulated by top-down signals related to attention.     

BOLD response during uncoupling of neuronal activity and CBF

The widely used technique of functional magnetic resonance imaging (fMRI) based on the blood oxygenation level-dependent (BOLD) effect is a tool for the investigation of changes in local brain activity upon stimulation. The principle of measurement is based on the assumption that there is a strong coupling between changes in neural activity, metabolism, vascular response and oxygen extraction in the area under investigation. As fMRI is on the way to become a routine tool in clinical examinations, we wanted to investigate whether, generally and under a variety of conditions, there is a strong link between the BOLD signal and neural activity. For clinical and experimental application of the method, it is crucial, whether the absence of changes in BOLD signal intensity upon stimulation can always be interpreted as an absence of changes in brain activity. We approached this question by inhibiting the nitric oxide mediated 'neurovascular coupling' via application of 7 nitroindazole. Before and after inhibition of this neurovascular coupling, we acquired evoked potentials and performed fMRI during somatosensory stimulation in rats. Cerebral blood flow response as well as BOLD signal intensity changes following electrical stimulation were abolished within 10 min after application of 7 nitroindazole, whereas somatosensory-evoked potentials were only slightly affected but still clearly detectable. Even 1 h after injection of 7 nitroindazole, there was still remaining electrical activity. Thus, we observed an uncoupling between electrical, i.e., neural activity and the BOLD signal. According to our results, the absence of BOLD signal changes did not permit the conclusion that there was no neural activity in the area under investigation. Our findings are especially relevant for the clinical application of fMRI in patients suffering from cerebrovascular and other brain diseases.     

Inferring neural activity from BOLD signals through nonlinear optimization

The blood oxygen level-dependent (BOLD) fMRI signal does not measure neuronal activity directly. This fact is a key concern for interpreting functional imaging data based on BOLD. Mathematical models describing the path from neural activity to the BOLD response allow us to numerically solve the inverse problem of estimating the timing and amplitude of the neuronal activity underlying the BOLD signal. In fact, these models can be viewed as an advanced substitute for the impulse response function. In this work, the issue of estimating the dynamics of neuronal activity from the observed BOLD signal is considered within the framework of optimization problems. The model is based on the extended "balloon" model and describes the conversion of neuronal signals into the BOLD response through the transitional dynamics of the blood flow-inducing signal, cerebral blood flow, cerebral blood volume and deoxyhemoglobin concentration. Global optimization techniques are applied to find a control input (the neuronal activity and/or the biophysical parameters in the model) that causes the system to follow an admissible solution to minimize discrepancy between model and experimental data. As an alternative to a local linearization (LL) filtering scheme, the optimization method escapes the linearization of the transition system and provides a possibility to search for the global optimum, avoiding spurious local minima. We have found that the dynamics of the neural signals and the physiological variables as well as the biophysical parameters can be robustly reconstructed from the BOLD responses. Furthermore, it is shown that spiking off/on dynamics of the neural activity is the natural mathematical solution of the model. Incorporating, in addition, the expansion of the neural input by smooth basis functions, representing a low-pass filtering, allows us to model local field potential (LFP) solutions instead of spiking solutions.     

Brain activity relating to the contingent negative variation: an fMRI investigation

The contingent negative variation (CNV) is a long-latency electroencephalography (EEG) surface negative potential with cognitive and motor components, observed during response anticipation. CNV is an index of cortical arousal during orienting and attention, yet its functional neuroanatomical basis is poorly understood. We used functional magnetic resonance imaging (fMRI) with simultaneous EEG and recording of galvanic skin response (GSR) to investigate CNV-related central neural activity and its relationship to peripheral autonomic arousal. In a group analysis, blood oxygenation level dependent (BOLD) activity during the period of CNV generation was enhanced in thalamus, somatomotor cortex, bilateral midcingulate, supplementary motor, and insular cortices. Enhancement of CNV-related activity in anterior and midcingulate, SMA, and insular cortices was associated with decreases in peripheral sympathetic arousal. In a subset of subjects in whom we acquired simultaneous EEG and fMRI data, we observed activity in bilateral thalamus, anterior cingulate, and supplementary motor cortex that was modulated by trial-by-trial amplitude of CNV. These findings provide a likely functional neuroanatomical substrate for the CNV and demonstrate modulation of components of this neural circuitry by peripheral autonomic arousal. Moreover, these data suggest a mechanistic model whereby thalamocortical interactions regulate CNV amplitude.     

Emotional context modulates response inhibition: Neural and behavioral data

Although recent hemodynamic studies indicate that neural activity related to emotion and that associated with response inhibition constitute closely interrelated and mutually dependent processes, the nature of this relationship is still unclear. In order to explore the temporo-spatial characteristics of the interaction between emotion and inhibition, event-related potentials (ERPs) were measured as participants (N = 30) performed a modified version of the Go/Nogo task that required the inhibition of prepotent responses to neutral cues during three different emotional contexts: negative, neutral, and positive. Temporal and spatial principal component analyses were employed to detect and quantify, in a reliable manner, those ERP components related to response inhibition (i.e., Nogo-N2 and Nogo-P3), and a source-localization technique (sLORETA) provided information on their neural origin. Behavioral analyses revealed that reaction times (RTs) to Go cues were shorter during the positive context than during neutral and negative contexts. ERP analyses showed that suppressing responses to Nogo cues within the positive context elicited larger frontocentral Nogo-P3 amplitudes and enhanced anterior cingulate cortex (ACC) activation than within the negative context. Regression analyses revealed that Nogo-P3 (i) was inversely related to RTs, supporting its association with the inhibition of a prepotent response, and (ii) was associated with contextual valence (amplitude increased as context valence was more positive), but not with contextual arousal. These results suggest that withholding a prepotent response within positively valenced contexts is more difficult and requires more inhibitory control than within negatively valenced contexts.     

Control processes during selective long-term memory retrieval

In our daily life, we often need to selectively remember information related to the same retrieval cue in a consecutive manner (e.g., ingredients from a recipe). To investigate such selection processes during cued long-term memory (LTM) retrieval, we used a paradigm in which the retrieval demands were systematically varied from trial to trial and analyzed, by means of behavior and slow cortical EEG potentials (SCPs), the retrieval processes in the current trial depending on those of the previous trial. We varied whether the retrieval cue, the type of to-be-retrieved association (feature), or retrieval load was repeated or changed from trial to trial. The behavioral data revealed a benefit of feature repetition, probably due to trial-by-trial feature priming. SCPs further showed an effect of cue change with a mid-frontal maximum, suggesting increased control demands when the cue was repeated, as well as a parietal effect of retrieval-load change, indicating increased activation of posterior neural resources when focusing on a single association after all learned associations had been activated previously, compared to staying with single associations across trials. These effects suggest the existence of two distinct types of dynamic (trial-by-trial) control processes during LTM retrieval: (1) medial frontal processes that monitor or regulate interference within a set of activated associations, and (2) posterior processes regulating attention to LTM representations. The present study demonstrates that processes mediating selective LTM retrieval can be successfully studied by manipulating the history of processing demands in trial sequences.