Lipsia—a new software system for the evaluation of functional magnetic resonance images of the human brain

Lohmann, Gabriele; Müller, Karsten; Bosch, Volker; Mentzel, Heiko; Hessler, S; Chen, Lin; Zysset, Stefan; Cramon, D. Yves von

doi:10.1016/s0895-6111(01)00008-8

Cited by 343 publications

(246 citation statements)

References 20 publications

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“…Data were analyzed using the general linear model employing a random effects model as implemented in the software package LIPSIA (Lohmann et al, 2001). The data were smoothed spatially with a 6-mm FWHM isotropic Gaussian kernel, and the global means were normalized by proportional scaling.…”

Section: Discussionmentioning

confidence: 99%

Interactions of the hippocampal system and the prefrontal cortex in learning language-like rules

2003

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One of the most influential views on the hippocampal function suggests that this brain region is critically involved in relational memory processing, that is, binding converging inputs to mediate the representation of relationships among the constituents of episodes. It has been proposed that this binding is automatic and obligatory during learning and remembering In addition, neuroimaging studies have highlighted the importance of the prefrontal cortex, in learning, memory, and language processing. However, the posited importance of hippocampalprefrontal interaction remains to be empirically tested. In the present study we used functional magnetic resonance imaging to examine in detail this interaction by assessing learning-related changes in hemodynamic activity during artificial language acquisition. It has been shown previously that artificial grammar systems might be learned by evaluating pattern-based relations in word sequences and generalizing beyond specific word order, that is, rule abstraction. During scanning, participants learned an artificial language whose miniature grammar meets the universal principles of a natural language. Increased proficiency level of the artificial language is associated with decreased left hippocampal activity. In contrast, we observed an increased recruitment of the left inferior frontal gyrus (Broca's area), a region that contributes to syntax processing in natural language. The present results, therefore, indicate a learning-related change in brain circuitry underlying relational processes of language learning, with a transition from a similarity-based learning system in the medial temporal lobes to a language-related processing system in the left prefrontal cortex.

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Section: Discussionmentioning

confidence: 99%

Interactions of the hippocampal system and the prefrontal cortex in learning language-like rules

2003

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“…The MRI data were processed using the software package LIPSIA (Lohmann et al, 2001). In the preprocessing, low-frequency signals were suppressed by applying a 1/170 Hz highpass filter.…”

Section: Discussionmentioning

confidence: 99%

Predicting events of varying probability: uncertainty investigated by fMRI

Volz¹,

Schubotz²,

Cramon³

2003

NeuroImage

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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 ϭ 0.6 to p ϭ 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.

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“…The fMRI data were processed using the software package LIPSIA [Lohmann et al, 2001]. The first trial of each experimental block was excluded from analysis to avoid influence of vascular arousal caused by the onset of the scanner noise.…”

Section: Discussionmentioning

confidence: 99%

FMRI reveals brain regions mediating slow prosodic modulations in spoken sentences

Meyer

Alter

Friederici

et al. 2002

Human Brain Mapping

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By means of fMRI measurements, the present study identifies brain regions in left and right peri-sylvian areas that subserve grammatical or prosodic processing. Normal volunteers heard 1) normal sentences; 2) so-called syntactic sentences comprising syntactic, but no lexical-semantic information; and 3) manipulated speech signals comprising only prosodic information, i.e., speech melody. For all conditions, significant blood oxygenation signals were recorded from the supratemporal plane bilaterally. Left hemisphere areas that surround Heschl gyrus responded more strongly during the two sentence conditions than to speech melody. This finding suggests that the anterior and posterior portions of the superior temporal region (STR) support lexical-semantic and syntactic aspects of sentence processing. In contrast, the right superior temporal region, in especially the planum temporale, responded more strongly to speech melody. Significant brain activation in the fronto-opercular cortices was observed when participants heard pseudo sentences and was strongest during the speech melody condition. In contrast, the fronto-opercular area is not prominently involved in listening to normal sentences. Thus, the functional activation in fronto-opercular regions increases as the grammatical information available in the sentence decreases. Generally, brain responses to speech melody were stronger in right than left hemisphere sites, suggesting a particular role of right cortical areas in the processing of slow prosodic modulations. Hum. Brain Mapping 17:73-88, 2002.

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Lipsia—a new software system for the evaluation of functional magnetic resonance images of the human brain

Cited by 343 publications

References 20 publications

Interactions of the hippocampal system and the prefrontal cortex in learning language-like rules

Interactions of the hippocampal system and the prefrontal cortex in learning language-like rules

Predicting events of varying probability: uncertainty investigated by fMRI

FMRI reveals brain regions mediating slow prosodic modulations in spoken sentences

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