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Ricarda I Schubotz

Publications and source records attributed to Ricarda I Schubotz.

At least 19 recordsLinked to original sources
PubMed2006

The brain differentiates human and non-human grammars: functional localization and structural connectivity.

The human language faculty has been claimed to be grounded in the ability to process hierarchically structured sequences. This human ability goes beyond the capacity to process sequences with simple transitional probabilities of adjacent elements observable in non-human primates. Here we show that the processing of these two sequence types is supported by different areas in the human brain. Processing of local transitions is subserved by the left frontal operculum, a region that is phylogenetically older than Broca's area, which specifically holds responsible the computation of hierarchical dependencies. Tractography data revealing differential structural connectivity signatures for these two brain areas provide additional evidence for a segregation of two areas in the left inferior frontal cortex.

Adult↗
PubMed2006

Dynamic anticipatory processing of hierarchical sequential events: a common role for Broca's area and ventral premotor cortex across domains?

This paper proposes a domain-general model for the functional contribution of ventral premotor cortex (PMv) and adjacent Broca's area to perceptual, cognitive, and motor processing. We propose to understand this frontal region as a highly flexible sequence processor, with the PMv mapping sequential events onto stored structural templates and Broca's Area involved in more complex, hierarchical or hypersequential processing. This proposal is supported by reference to previous functional neuroimaging studies investigating abstract sequence processing and syntactic processing.

Animals↗
PubMed2006

Decision-making and the frontal lobes.

PURPOSE OF REVIEW: This article reviews the most significant advances concerning the neural correlates of decision-making with emphasis on those imaging studies investigating the neural implementation of evaluative judgment processes. This is done against the background of current concepts from the field of judgment and decision-making. RECENT FINDINGS: Actual neuroscientific findings suggest that subject to the extent of how deeply a decision-maker has to explore his/her value system in order to reach a decision, distinguishable orbital and medial prefrontal areas will be engaged. Decisions low in costs mapping the values onto the decision problem mainly rely on orbital and ventromedial prefrontal cortex, whereas decisions high in costs particularly draw on anterior-medial and dorsomedial prefrontal areas. This suggestion is related to the anatomic properties of the respective areas. SUMMARY: Combining neuroimaging data with concepts from research in judgment and decision-making may facilitate advances in our understanding of the contrast between normative theories and descriptive theories of decision-making. Incorporating findings from research on decision-making behavior in patients with specific prefrontal lesions may have much to offer for an understanding of both the areas' functions and cognitive theories on decision-making.

Decision Making↗
PubMed2006

Why you think milan is larger than modena: neural correlates of the recognition heuristic.

When ranking two alternatives by some criteria and only one of the alternatives is recognized, participants overwhelmingly adopt the strategy, termed the recognition heuristic (RH), of choosing the recognized alternative. Understanding the neural correlates underlying decisions that follow the RH could help determine whether people make judgments about the RH's applicability or simply choose the recognized alternative. We measured brain activity by using functional magnetic resonance imaging while participants indicated which of two cities they thought was larger (Experiment 1) or which city they recognized (Experiment 2). In Experiment 1, increased activation was observed within the anterior frontomedian cortex (aFMC), precuneus, and retrosplenial cortex when participants followed the RH compared to when they did not. Experiment 2 revealed that RH decisional processes cannot be reduced to recognition memory processes. As the aFMC has previously been associated with self-referential judgments, we conclude that RH decisional processes involve an assessment about the applicability of the RH.

Adult↗
PubMed2005

Brain correlates of aesthetic judgment of beauty.

Functional MRI was used to investigate the neural correlates of aesthetic judgments of beauty of geometrical shapes. Participants performed evaluative aesthetic judgments (beautiful or not?) and descriptive symmetry judgments (symmetric or not?) on the same stimulus material. Symmetry was employed because aesthetic judgments are known to be often guided by criteria of symmetry. Novel, abstract graphic patterns were presented to minimize influences of attitudes or memory-related processes and to test effects of stimulus symmetry and complexity. Behavioral results confirmed the influence of stimulus symmetry and complexity on aesthetic judgments. Direct contrasts showed specific activations for aesthetic judgments in the frontomedian cortex (BA 9/10), bilateral prefrontal BA 45/47, and posterior cingulate, left temporal pole, and the temporoparietal junction. In contrast, symmetry judgments elicited specific activations in parietal and premotor areas subserving spatial processing. Interestingly, beautiful judgments enhanced BOLD signals not only in the frontomedian cortex, but also in the left intraparietal sulcus of the symmetry network. Moreover, stimulus complexity caused differential effects for each of the two judgment types. Findings indicate aesthetic judgments of beauty to rely on a network partially overlapping with that underlying evaluative judgments on social and moral cues and substantiate the significance of symmetry and complexity for our judgment of beauty.

Adult↗
PubMed2005

Variants of uncertainty in decision-making and their neural correlates.

When leaving the tidy world of rules and people start judging probabilities on an intuitive basis, it revealed that they have some intuitions to choose from. One could refer to them as a family of subjective probability concepts or following Kahneman and Tversky, as variants of uncertainty. The authors distinguished between external and internal attributions of uncertainty and could show that the perceived reason of uncertainty determines the selected coping strategy. To investigate whether variants of uncertainty can also be distinguished on the cerebral level, two functional magnetic resonance imaging studies were conducted. Participants had to predict events (abstract visual stimuli) under parametrically varying degrees of (un-)certainty. In the first experiment, uncertainty was induced by the manipulation of event probability (externally attributed uncertainty). In the second experiment, uncertainty depended on participants' knowledge of valid rules of event occurrence, as trained before the experimental session (internally attributed uncertainty). As a result, parametric analyses revealed that activation within the posterior fronto-median cortex, particularly within mesial Brodmann area (BA) 8, increased with increasing uncertainty, no matter for which reason uncertainty emerged. Furthermore, it was found that different variants of uncertainty entailing different coping strategies can be dissociated due to additionally activated networks. Concluding, increasing activation within mesial BA 8 reflects that we are uncertain, additional networks what we do to resolve uncertainty in order to achieve future rewards. Hence, the phenomenological distinction between processes related to externally and internally attributed uncertainty is paralleled on the cerebral level.

Adaptation, Psychological↗
PubMed2005

Motion class dependency in observers' motor areas revealed by functional magnetic resonance imaging.

Human and animal data suggest that the mere observation of biological motion activates those premotor areas that also underlie the initiation of the same motion. However, data also indicate that the human premotor cortex (PM), in contrast to the monkey PM, responds not only to the observation of goal-directed (transitive) motion but also to intransitive motion. The present study used functional magnetic resonance imaging to test this hypothesis directly. Participants were presented cycles of intransitive motion specified as belonging to the distal (fingers and mouth), proximal (knee, ankle, elbow, and wrist), or axial (trunk and shoulder) motion class. Attention to motion was behaviorally tested by a forced-choice task on motion acceleration and deceleration. Results revealed extended PM activation for each motion condition. However, direct contrasts showed that the most significant activations were elicited in ventrolateral PM by distal motion, in dorsolateral PM by proximal motion, and medial PM (supplementary motor area) by axial motion. Findings confirm observed intransitive motions to engage premotor areas along a gross-scaled somatotopy.

Adult↗
PubMed2005

Frontomedian activation depends on both feedback validity and valence: fMRI evidence for contextual feedback evaluation.

Activation within the posterior frontomedian cortex (pFMC) is suggested to be involved in decision conflict, which typically emerges whenever one does not know which action to choose in order to receive a positive outcome. Decision conflict attenuates due to learning which is often indicated by and therefore confounded with the receipt of increasingly frequent positive and decreasingly frequent negative feedback. The present functional Magnetic Resonance study aimed to disentangle the influence of the factors processing of negative feedback and contextual feedback evaluation on pFMC activation. Participants performed a forced choice paradigm in which they had to decide which one out of two competing stimuli would win in a virtual competition game. In one condition (rule learning, RL), participants were provided with valid feedback so that contextual feedback evaluation had a guiding function for action and thus enabled learning. In contrast, participants received no valid information from feedback in another condition (putative learning, PL) and hence could not learn on the basis of contextual feedback evaluation. However, a learning effect in the latter condition was simulated by gradually increasing the frequency of positive feedback and decreasing the frequency of negative feedback according to a learning model which was derived from pilot data. Importantly, participants were naive with respect to feedback manipulations. Beyond confirming pFMC activation for decision conflicts, a significant interaction between validity and valence of feedback in pFMC revealed the specific contribution of contextual feedback evaluation processes on activation of this area. Not the processing of negative feedback per se, which was found to elicit activation within anterior cingulate cortex, but the evaluation of feedback against the background of the current mental model is suggested to be reflected by pFMC activation.

Adult↗
PubMed2004

"What" becoming "where": functional magnetic resonance imaging evidence for pragmatic relevance driving premotor cortex.

Previous studies using the serial prediction task (SPT) have shown that attending to the locations of objects activates the dorsal part of premotor cortex more than attending to the sizes of objects. The opposite holds for the ventral part of the premotor cortex. The present study used functional magnetic resonance imaging to investigate whether the learning of arbitrary stimulus-response mappings influences this functional dissociation. One experimental group learned to assign stimuli to response buttons based on stimulus size; another group did so based on stimulus location. More specifically, one-half of the participants in both experimental groups learned to assign stimuli to finger movements of their right hand, whereas the other half assigned stimuli to finger movements of their left hand. During scanning, all participants performed both size SPT and location SPT. Thus, we investigated the effects of the attended stimulus property (size or location), the motor effector assigned to it (fingers of left or right hand), and the spatial arrangement of the targets (the same in all groups). As expected, without motor training, the dorsal premotor cortex was less activated during size SPT compared with location SPT. The opposite held for ventral premotor cortex. With motor training, however, this differential activity pattern vanished. Activity in dorsal premotor cortex reflected neither the attended stimulus property nor the motor effector assigned to it. Instead, its activity may be related to the spatial properties of the response targets once some object property, such as size, takes on the "pragmatic relevance" of a spatially directed response.

Adult↗
PubMed2004

Sequences of abstract nonbiological stimuli share ventral premotor cortex with action observation and imagery.

Activation triggered by either observed or imagined actions suggests that the ventral premotor cortex (PMv) provides an action vocabulary that allows us to detect and anticipate basically invariant perceptual states in observed actions. In the present study, we tested the hypothesis that the same PMv region is also recruited by nonbiological (abstract) stimulus sequences as long as the temporal order of stimuli has to be processed. Using functional magnetic resonance imaging, we instructed participants to assess expected outcomes in observed actions [external biological cues (EB)], motor imagery [internal biological cues (IB)], or geometrical figure sequences [external nonbiological cues (EN)]. As hypothesized, we found that each condition elicited significant activation within PMv [left hemisphere, Brodman Area (BA) 6], in contrast to a sequential target detection control task. In addition, cue-specific activations were identified in areas that were only engaged for biologically (action) cued (EB, IB) and nonbiologically cued (EN) tasks. Biologically cued tasks elicited activations within inferior frontal gyri adjacent to PMv (BA 44/45), in the frontomedian wall, the extrastriate body area, posterior superior temporal sulci, somatosensory cortices, and the amygdala-hippocampal-area, whereas the nonbiologically cued task engaged presupplementary motor area, middle frontal gyri, intraparietal sulci, and caudate nuclei of the basal ganglia. In sum, findings point to a basic premotor contribution to the representation or processing of sequentially structured events, supplemented by different sets of areas in the context of either biological or nonbiological cues.

Adult↗
PubMed2004

Why am I unsure? Internal and external attributions of uncertainty dissociated by fMRI.

Behavioral evidence suggests that the perceived reason of uncertainty causes different coping strategies to be implemented, particularly frequency ratings with externally attributed uncertainty and memory search with internally attributed uncertainty. We used functional magnetic resonance imaging (fMRI) to investigate whether processes related to these different attributions of uncertainty differ also in their neural substrates. Participants had to predict events that were uncertain due to internal factors, that is, insufficient knowledge. Data were compared with a preceding study in which event prediction was uncertain due to external factors, that is, event probabilities. Parametric analyses revealed the posterior frontomedian cortex, that is, mesial Brodmann Area 8 (BA 8) as the common cortical substrate mediating processes related to uncertainty no matter what the cause of uncertainty. However, processes related to the two differently attributed types of uncertainty differed significantly in relation to the brain network that was coactivated. Only processes related to internally attributed uncertainty elicited activation within the mid-dorsolateral and posterior parietal areas known to underlie working memory (WM) functions. Together, findings from both experiments suggest that there is a common cerebral correlate for uncertain predictions but different correlates for coping strategies of uncertainty. Concluding, BA 8 reflects that we are uncertain, coactivated networks what we do to resolve uncertainty.

Adaptation, Psychological↗
PubMed2004

Motor areas beyond motor performance: deficits in serial prediction following ventrolateral premotor lesions.

Previous functional MRI findings have indicated that a premotor-parietal network is involved in the perceptual processing of sequential information. Given that premotor functions have traditionally been restricted to behaviors requiring motor or sensorimotor computations, the goal of the present patient study was to further investigate whether the lateral premotor cortex is critical in purely perceptual sequencing. Patients with either ventral premotor or inferior parietal lesions, in addition to patients with prefrontal lesions and age- and gender-matched healthy controls, were tested during the processing of temporal, object-specific, and spatial sequences. Results revealed that premotor patients as well as parietal patients showed significantly higher error rates than did healthy controls on all sequence tasks. In contrast, prefrontal patients showed no behavioral deficits. These findings support the significance of the ventrolateral premotor cortex, in addition to parietal areas, in nonmotor (attentional) functions.

Adult↗
PubMed2003

Premotor cortex in observing erroneous action: an fMRI study.

The lateral premotor cortex (PMC) is involved during action observation in monkeys and humans, reflecting a matching process between observed actions and their corresponding motor schemata. In the present study, functional magnetic resonance imaging (fMRI) was used to investigate if paying attention to the two observable action components, objects and movements, modulates premotor activation during the observation of actions. Participants were asked to classify presented movies as showing correct actions, erroneous actions, or senseless movements. Erroneous actions were incorrect either with regard to employed objects, or to performed movements. The experiment yielded two major results: (1) The ventrolateral premotor cortex (vPMC) and the anterior part of the intraparietal sulcus (aIPS) are strongly activated during the observation of actions in humans. Premotor activation was dominantly located within Brodmann Area (BA) 6, and sometimes extended into BA 44. (2) The presentation of object errors and movements errors allowed to disentangle brain activations corresponding to the analysis of movements and objects in observed actions. Left premotor areas were more involved in the analysis of objects, whereas right premotor areas were dominant in the analysis of movements. It is suggested that the analysis of categorical information, like objects, and that of coordinate information, like movements, are pronounced in different hemispheres.

Adult↗
PubMed2003

Predicting events of varying probability: uncertainty investigated by fMRI.

Many everyday life predictions rely on the experience and memory of event frequencies, i.e., natural samplings. We used functional magnetic resonance imaging (fMRI) to investigate the neural substrates of prediction under varying uncertainty based on a natural sampling approach. The study focused particularly on a comparison with other types of externally attributed uncertainty, such as guessing, and on the frontomedian cortex, which is known to be engaged in many types of decisions under uncertainty. On the basis of preceding stimulus cues, participants predicted events that occurred with probabilities ranging from p = 0.6 to p = 1.0. In contrast to certain predictions in a control task, predictions under uncertainty elicited activations within a posterior frontomedian area (mesial BA 8) and within a set of subcortical areas which are known to subserve dopaminergic modulations. The parametric analysis revealed that activation within the mesial BA 8 significantly increased with increasing uncertainty. A comparison with other types of uncertainty indicates that frontomedian correlates of frequency-based prediction appear to be comparable with those induced in long-term stimulus-response adaptation processes such as hypothesis testing, in contrast to those engaged in short-term error processing such as guessing.

Adult↗
PubMed2003

Auditory what, where, and when: a sensory somatotopy in lateral premotor cortex.

Recent findings have demonstrated that attention to visual events engages the lateral premotor cortex even in the absence of motor planning. Here, we used functional magnetic resonance imaging to explore acoustically triggered activations within the lateral premotor cortex. Temporal (when), object-related (what), and spatial (where) auditory patterns were to be monitored for violations in a serial prediction task. As a result, we found a modality-dependent modulation for auditory events within the inferior ventrolateral premotor cortex, an area engaged in vocal plans. In addition, however, auditory activations were distributed within the entire premotor cortex depending on which stimulus property was attended to. Attention to where patterns was found to engage fields for gaze and reaching (dorsolateral premotor cortex), what patterns to engage fields for hand movements (superior ventrolateral premotor cortex), and when patterns to engage fields for vocal plans. Together, the findings confirm the idea of a sensory somatotopy in lateral premotor cortex, according to which a perceptual pattern triggers representations within that motor effector which would be most appropriate to generate it as an action effect.

Acoustic Stimulation↗
PubMed2002

Predicting perceptual events activates corresponding motor schemes in lateral premotor cortex: an fMRI study.

The ability to recognize sequential patterns of external events enables us to predict their future course and thus to plan and execute actions based on current perceptions and previous experiences. Here we show with functional magnetic resonance imaging that even in the absence of movement the prediction of sequential patterns activates brain areas involved in the representation of specific motor schemas. Particularly, the prediction of size engages premotor areas involved in hand movements (superior part of the ventrolateral premotor cortex), whereas the prediction of pitch engages premotor areas involved in articulation (inferior most ventrolateral premotor cortex). The findings indicate that events are mapped onto somatotopically corresponding motor schemes whenever we predict sequential perceptions.

Adult↗
PubMed2002

A blueprint for target motion: fMRI reveals perceived sequential complexity to modulate premotor cortex.

The execution of movements that are guided by an increasingly complex target motion is known to draw on premotor cortices. Whole-brain functional magnetic resonance imaging was used to investigate whether, in the absence of any movement, attending to and predicting increasingly complex target motion also rely on premotor cortices. Complexity was varied as a function of number of sequential elements and amount of dynamic sequential trend in a pulsing target motion. As a result, serial prediction caused activations in premotor and parietal cortices, particularly within the right hemisphere. Parametric analyses revealed that the right ventrolateral premotor cortex and the right anterior intraparietal sulcus were the only areas that, in addition, covaried positively with both behavioral and physical measures of sequential complexity. Further areas that covaried positively with increasing task difficulty reflected influences of both number and trend manipulation. In particular, increasing element number drew on dorsal premotor and corresponding posterior intraparietal regions, whereas increasing trend drew on the visual motion area and area V4. The present findings demonstrate that premotor involvement directly reflects perceptual complexity in attended and predicted target motion. It is suggested that when we try to predict how a target will move, the motor system generates a "blueprint" of the observed motion that allows potential sensorimotor integration. In the absence of any motor requirement, this blueprint appears to be not a by-product of motor planning, but rather the basis for target motion prediction.

Adult↗