Biomedical subjects

Uwe Jürgens

Publications and source records attributed to Uwe Jürgens.

At least 19 recordsLinked to original sources

PubMed2006

On the role of the reticular formation in vocal pattern generation.

This review is an attempt to localize the brain region responsible for pattern generation of species-specific vocalizations. A catalogue is set up, listing the criteria considered to be essential for a vocal pattern generator. According to this catalogue, a vocal pattern generator should show vocalization-correlated activity, starting before vocal onset and reflecting specific acoustic features of the vocalization. Artificial activation by electrical or glutamatergic stimulation should produce artificially sounding vocalization. Lesioning is expected to have an inhibitory or deteriorating effect on vocalization. Anatomically, a vocal pattern generator can be assumed to have direct or, at least, oligosynaptic connections with all the motoneuron pools involved in phonation. A survey of the literature reveals that the only area meeting all these criteria is a region, reaching from the parvocellular pontine reticular formation just above the superior olive through the lateral reticular formation around the facial nucleus and nucleus ambiguus down to the caudalmost medulla, including the dorsal and ventral reticular nuclei and nucleus retroambiguus. It is proposed that vocal pattern generation takes place within this whole region.

Action Potentials↗

PubMed2006

Classical conditioned responses to absent tones.

BACKGROUND: Recent evidence for a tight coupling of sensorimotor processes in trained musicians led to the question of whether this coupling extends to preattentively mediated reflexes; particularly, whether a classically conditioned response in one of the domains (auditory) is generalized to another (tactile/motor) on the basis of a prior association in a second-order Pavlovian paradigm. An eyeblink conditioning procedure was performed in 17 pianists, serving as a model for overlearned audiomotor integration, and 14 non-musicians. RESULTS: During the training session, subjects were conditioned to respond to auditory stimuli (piano tones). During a subsequent testing session, when subjects performed keystrokes on a silent piano, pianists showed significantly higher blink rates than non-musicians. CONCLUSION: These findings suggest a tight coupling of the auditory and motor domains in musicians, pointing towards training-dependent mechanisms of strong cross-modal sensorimotor associations even on sub-cognitive processing levels.

Acoustic Stimulation↗

PubMed2006

On the role of the pontine brainstem in vocal pattern generation: a telemetric single-unit recording study in the squirrel monkey.

In a recent study, we localized a discrete area in the ventrolateral pontine brainstem of squirrel monkeys, which seems to play a role in vocal pattern generation of frequency-modulated vocalizations. The present study compares the neuronal activity of this area with that of three motoneuron pools involved in phonation, namely the trigeminal motor nucleus, facial nucleus, and nucleus ambiguous. The experiments were performed in freely moving squirrel monkeys (Saimiri sciureus) during spontaneous vocal communication, using a telemetric single-unit recording technique. We found vocalization-related activity in all motoneuron pools recorded. Each of them, however, showed a specific profile of activity properties with respect to call types uttered, syllable structure, and pre-onset time. Different activity profiles were also found for neurons showing purely vocalization-correlated activity, vocalization- and mastication-correlated activity, and vocalization- and respiration-correlated activity. By comparing the activity properties of the proposed vocal pattern generator with the three motoneuron pools, we show that the pontine vocalization area is, in fact, able to control each of the three motoneuron pools during frequency-modulated vocalizations. The present study thus supports the existence of a vocal pattern generator for frequency-modulated call types in the ventrolateral pontine brainstem.

Animals↗

PubMed2006

Acoustical correlates of affective prosody.

The word "Anna" was spoken by 12 female and 11 male subjects with six different emotional expressions: "rage/hot anger," "despair/lamentation," "contempt/disgust," "joyful surprise," "voluptuous enjoyment/sensual satisfaction," and "affection/tenderness." In an acoustical analysis, 94 parameters were extracted from the speech samples and broken down by correlation analysis to 15 parameters entering subsequent statistical tests. The results show that each emotion can be characterized by a specific acoustic profile, differentiating that emotion significantly from all others. If aversive emotions are tested against hedonistic emotions as a group, it turns out that the best indicator of aversiveness is the ratio of peak frequency (frequency with the highest amplitude) to fundamental frequency, followed by the peak frequency, the percentage of time segments with nonharmonic structure ("noise"), frequency range within single time segments, and time of the maximum of the peak frequency within the utterance. Only the last parameter, however, codes aversiveness independent of the loudness of an utterance.

Affect↗

PubMed2006

Telemetric recording of neuronal activity.

A telemetric system is described which allows the wireless registration of extracellular neuronal activity and vocalization-associated skull vibrations in freely moving, socially living squirrel monkeys (Saimiri sciureus). The system consists of a carrier platform with numerous guiding tubes implanted on the skull. Custom-made microdrives are mounted on the platform, allowing the exploration of two electrode tracks at the same time. Commercially available quartz-insulated platinum-tungsten microelectrodes are used. The electrodes can be moved over a distance of 8-10 mm by turning a screw on the microdrive. Vocalization-associated skull vibrations are recorded with a piezo-ceramic element. Skull vibration signal and the signals from the two microelectrodes are fed into separate transmitters having different carrier frequencies. The signals are picked up by an antenna in the animal cage and are sent to three receivers in the central laboratory. Here, the signals are transferred via an analog/digital interface to a personal computer for data analysis and to a video recorder for long-term storage. The total weight of the head mount including carrier platform, microdrive, electrodes, skull vibration sensor, three transmitters, and protection cap is 32 g. The transmitters are powered with two rechargeable lithium batteries, allowing about 8 h of continuous recording. Reliable signal transmission is obtained over a distance of about 2 m. Recording stability allows to follow the activity of specific neurons up to several hours, with no movement artefacts during locomotion.

Animals↗

PubMed2006

Localization of a vocal pattern generator in the pontine brainstem of the squirrel monkey.

Very little is known about the coordination of muscles involved in mammalian vocalization at the level of single neurons. In the present study, a telemetric single-unit recording technique was used to explore the ventrolateral pontine brainstem for vocalization-correlated activity in the squirrel monkey during vocal communication. We found a discrete area in the reticular formation just above the superior olivary complex showing vocalization-correlated activity. These neurons showed an increase in neuronal activity exclusively just before and during vocalization; none of them was active during mastication, swallowing or quiet respiration. Furthermore, the neuronal activity of these neurons reflected acoustic features, such as call duration or syllable structure of frequency-modulated vocalization, directly. Based on these findings and previously reported anatomical data, we propose that this area serves as a vocal pattern generator for frequency-modulated call types.

Acoustic Stimulation↗

PubMed2006

Audio-vocal interaction in the pontine brainstem during self-initiated vocalization in the squirrel monkey.

The adjustment of the voice by auditory input happens at several brain levels. The caudal pontine brainstem, though rarely investigated, is one candidate area for such audio-vocal integration. We recorded neuronal activity in this area in awake, behaving squirrel monkeys (Saimiri sciureus) during vocal communication, using telemetric single-unit recording techniques. We found audio-vocal neurons at locations not described before, namely in the periolivary region of the superior olivary complex and the adjacent pontine reticular formation. They showed various responses to external sounds (noise bursts) and activity increases (excitation) or decreases (inhibition) to self-produced vocalizations, starting prior to vocal onset and continuing through vocalizations. In most of them, the responses to noise bursts and self-produced vocalizations were similar, with the only difference that neuronal activity started prior to vocal onset. About one-third responded phasically to noise bursts, independent of whether they increased or decreased their activity to vocalization. The activity of most audio-vocal neurons correlated with basic acoustic features of the vocalization, such as call duration and/or syllable structure. Auditory neurons near audio-vocal neurons showed significantly more frequent phasic response patterns than those in areas without audio-vocal activity. Based on these findings, we propose that audio-vocal neurons showing similar activity to external acoustical stimuli and vocalization play a role in olivocochlear regulation. Specifically, audio-vocal neurons with a phasic response to external auditory stimuli are candidates for the mediation of basal audio-vocal reflexes such as the Lombard reflex. Thus, our findings suggest that complex audio-vocal integration mechanisms exist in the ventrolateral pontine brainstem.

Animals↗

PubMed2006

Neocortical microenvironment in patients with intractable epilepsy: potassium and chloride concentrations.

PURPOSE: The regulation of extracellular ion concentrations plays an important role in neuronal function and epileptogenesis. Despite the many studies into the mechanisms of epileptogenesis in human experimental models, no data are available regarding the fluctuations of extracellular potassium ([K(+)](o)) and chloride ([Cl(-)](o)) concentrations, which could underlie seizure susceptibility in human chronically epileptic tissues in vivo. METHODS: By using cerebral microdialysis during surgical resection of epileptic foci, the basic [K(+)](o) and [Cl(-)](o) as well as their changes after epicortical electric stimulation were studied in samples of dialysates obtained from 11 patients by ion-selective microelectrodes. RESULTS: The mean basal values of [K(+)](o) and [Cl(-)](o) in all patients were 3.83 +/- 0.08 mM and 122.9 +/- 2.6 mM, respectively. However, significant differences were observed in the basal levels of both [K(+)](o) and [Cl(-)](o) between different patients. Statistically, no correlation was found between basal [K(+)](o) or [Cl(-)](o) and electrocorticogram (ECoG) spike activity, but in one patient, dramatically lowered baseline [Cl(-)](o) was accompanied by enhanced ECoG spike activity. Application of epicortical electrical stimulation increased [K(+)](o) but not [Cl(-)](o) in all cases. According to the velocity as well as spatial distribution of [K(+)](o) reduction to the prestimulation levels, three different types of responses were observed: slow decline, fast decline, and slow and fast declines at adjacent sites. CONCLUSIONS: These data may represent abnormalities in ion homeostasis of the epileptic brain.

Adolescent↗

PubMed2005

Vocal expression of emotions in normally hearing and hearing-impaired infants.

The vocalizations of seven normally hearing (NH) and seven severely hearing-impaired (HI) infants were compared to find out the influence of auditory feedback on preverbal utterances. It was tested whether there are general differences in vocalizations between NH and HI infants, and whether specific emotional states affect the vocal production of NH and HI infants in the same way. First, the acoustic structure of the three most common vocal types was analyzed; second, the composition of vocal sequences was examined. Vocal sequence composition turned out to be more affected by hearing impairment than the acoustic structure of single vocalizations. This result indicates that the acoustic structure of preverbal vocalizations is to a great extent predetermined, whereas the composition of vocal sequences is influenced by auditory input.

Affect↗

PubMed2005

Projections of the ventrolateral pontine vocalization area in the squirrel monkey.

In four squirrel monkeys (Saimiri sciureus), the tracer biotin dextranamine (BDA) was injected into the ventrolateral pons at a site at which injection of the glutamate antagonist kynurenic acid blocked vocalization electrically elicited from the periaqueductal gray (PAG). Anterograde projections could be traced into all cranial motor and sensory nuclei involved in phonation, that is, the nucleus ambiguus, facial, hypoglossal and trigeminal motor nuclei, the motorneuron column in the ventral gray substance innervating the extrinsic laryngeal muscles, the nucleus retroambiguus, solitary tract and spinal trigeminal nuclei. Projections were also found into a number of auditory nuclei, namely the nucleus cochlearis-complex, superior olive, ventral and dorsal nuclei of the lateral lemniscus and inferior colliculus. Furthermore, there were projections into the reticular formation of the lateral and dorsocaudal medulla and lateral pons, into nucleus gracilis, inferior and medial vestibular nuclei, lateral reticular nucleus, ventral raphe, pontine gray, superior colliculus, PAG and mediodorsal thalamic nucleus. Injection of the tracer wheat germ agglutinin-conjugated horseradish peroxidase into the ventrolateral pontine vocalization-blocking area in one animal yielded retrograde labeling throughout the PAG. Injection of BDA into a vocalization-eliciting site of the PAG in another animal yielded projections into the ventrolateral pontine vocalization-blocking area. It is concluded that the ventral paralemniscal area in the ventrolateral pons represents a relay station of the descending periaqueductal vocalization-controlling pathway.

Animals↗

PubMed2005

Call type-specific differences in vocalization-related afferents to the periaqueductal gray of squirrel monkeys (Saimiri sciureus).

In a recent retrograde tracing study in the squirrel monkey, we found that regions in the midbrain periaqueductal gray (PAG) producing different call types when pharmacologically stimulated, receive their input largely from the same structures. The aim of the present study was to find out, whether there are quantitative differences in this input. For this reason, we counted retrogradely labeled neurons in various brain regions after injections of wheatgerm agglutinin-conjugated horseradish peroxidase (WGA-HRP) into three different vocalization-eliciting PAG sites: one site producing non-aversive contact calls (clucking); a second site producing slightly aversive social mobbing calls (cackling); and a third site producing highly aversive defensive threat calls (shrieking). Cell counting was carried out by the help of the optical fractionator technique. Six squirrel monkeys were used, two for each call type. In some regions, marked differences in the number of retrogradely labeled cells between the three call type groups occured. Such regions are the nucl. accumbens, preoptic area, posterior hypothalamus, anterior cingulate cortex, subcallosal gyrus and the nucl. striae terminalis. In some of these regions, the number of retrogradely labeled cells correlated positively (posterior hypothalamus) or negatively (preoptic area, nucl. striae terminalis) with the "aversiveness" of the elicited call type. Other regions of interest, e.g., the dorsomedial prefrontal and precallosal cortex, amygdala and hypothalamic regions surrounding the fornix, revealed no clear differences in their afferent projections to the different vocalization-eliciting PAG sites. The results make clear that distinct vocalization-controlling regions in the PAG receive a qualitatively similar but quantitatively differentiated input.

Acoustic Stimulation↗

PubMed2005

Afferents of vocalization-controlling periaqueductal regions in the squirrel monkey.

In order to determine the input of vocalization-controlling regions of the midbrain periaqueductal gray (PAG), wheat germ agglutinin-horseradish peroxidase was injected in six squirrel monkeys (Saimiri sciureus) at PAG sites yielding vocalization when injected with the glutamate agonist homocysteic acid. Brains were scanned for retrogradely labeled areas common to all six animals. The results show that the vocalization-eliciting sites receive a widespread input, with the heaviest projections coming from the surrounding PAG, dorsomedial and ventromedial hypothalamus, medial preoptic region, substantia nigra pars diffusa, zona incerta and reticular formation of the mesencephalon, pons, and medulla. The heaviest cortical input reaches the PAG from the mediofrontal cortex. Moderate to weak projections come from the insula, lateral prefrontal, and premotor cortex as well as the superior and middle temporal cortex. Subcortical moderate to weak projections reach the PAG from the central and medial amygdala, nucleus of the stria terminalis, septum, nucleus accumbens, lateral preoptic region, lateral and posterior hypothalamus, globus pallidus, pretectal area, deep layers of the superior colliculus, the pericentral inferior colliculus, mesencephalic trigeminal nucleus, locus coeruleus, substantia nigra pars compacta, dorsal and ventral raphe, vestibular nuclei, spinal trigeminal nucleus, solitary tract nucleus, and nucleus gracilis. The input of the periaqueductal vocalization-eliciting regions thus is dominated by limbic, motivation-controlling afferents; input, however, also comes from sensory, motor, arousal-controlling, and cognitive brain areas.

Afferent Pathways↗

PubMed2004

Telemetrically recorded neuronal activity in the inferior colliculus and bordering tegmentum during vocal communication in squirrel monkeys (Saimiri sciureus).

In order to find out whether the inferior colliculus, in addition to its auditory decoding function, also has an auditory gating function in the sense that it treats self-produced sounds differently from external ones, we have explored the inferior colliculus and bordering tegmentum for neurones reacting differently to self-produced vocalizations and vocalizations produced by conspecifics. The experiments were made in the squirrel monkey (Saimiri sciureus), using a telemetric extracellular recording technique which allowed to register neuronal activity in freely moving animals during natural vocal communication. The results show that the neurones of the central nucleus of the inferior colliculus do not react differently to self-produced and group mate vocalizations of the same type. In the external nucleus of the inferior colliculus, in addition to classical auditory neurones, neurones are found which react to the vocalizations of group mates, but not to self-produced vocalizations. In the paralemniscal area just below the inferior colliculus, there are neurones which are active during self-produced vocalization, but not during vocalization produced by other animals. The results suggest that the external nucleus of the inferior colliculus and bordering tegmentum are involved in vocalization-dependent auditory gating processes.

Action Potentials↗

PubMed2003

Neuronal activity in the inferior colliculus and bordering structures during vocalization in the squirrel monkey.

In four squirrel monkeys (Saimiri sciureus), the inferior colliculus, together with the neighboring superior colliculus, reticular formation, cuneiform nucleus and parabrachial area, were explored with microelectrodes, looking for neurons that might be involved in the discrimination between self-produced and external sounds. Vocalization was elicited by kainic acid injections into the periaqueductal gray of the midbrain. Acoustic tests were carried out with ascending and descending narrow-band noise sweeps spanning virtually the whole hearing range of the squirrel monkey. Altogether 577 neurons were analyzed. Neurons that both were audiosensitive and fired in advance of self-produced vocalization were found almost exclusively in the pericentral nuclei of the inferior colliculus and the adjacent reticular formation. Only the latter, however, contained, in addition, neurons that fired during external acoustic stimulation, but remained quiet during self-produced vocalization. These findings suggest that the reticular formation bordering the inferior colliculus is involved in the discrimination between self-produced and foreign vocalization on the basis of a vocalmotor feedforward mechanism.

Acoustic Stimulation↗

PubMed2003

Efferent subcortical projections of the laryngeal motorcortex in the rhesus monkey.

In order to better understand the descending voluntary vocal control pathway, the efferent subcortical projections of the laryngeal motorcortex were studied in the rhesus monkey (Macaca mulatta). For this purpose, the left motorcortex was exposed in three animals under narcosis. By electrical brain stimulation, sites were identified yielding vocal fold adduction. Effective sites were injected with the anterograde tracer biotin dextran amine. Subcortical projections could be traced within the forebrain to the putamen, caudate nucleus, claustrum, zona incerta, field H of Forel and a number of thalamic nuclei, with the heaviest projections to the nuclei ventralis lateralis, ventralis posteromedialis, including its parvocellular part, medialis dorsalis, centralis medialis, centrum medianum and reuniens. In the midbrain, labeling was found in the deep mesencephalic nucleus. In the lower brainstem, fibers terminated in the pontine and medullary reticular formation, locus coeruleus, nucleus subcoeruleus, medial parabrachial nucleus, nucleus of the spinal trigeminal tract, solitary tract nucleus and facial nucleus. No projections were found to the nucl. ambiguus. The fact that monkeys, in contrast to humans, lack a direct connection of the motorcortex with the laryngeal motoneurons suggests that this connection has evolved in the last few million years and might represent one of the factors that made speech evolution possible.

Afferent Pathways↗

PubMed2003

Serum concentrations of Levetiracetam in epileptic patients: the influence of dose and co-medication.

Levetiracetam (LEV) is a new antiepileptic drug approved as add-on therapy. Previous studies indicated that LEV has no relevant interactions with other antiepileptic drugs. The aim of this study was to investigate the influence of LEV dose, age, and co-medication on the serum concentration of LEV. In total, 363 samples of 297 inpatients who fulfilled the inclusion criteria (e.g., trough concentration, body weight available) were investigated. A patient was considered twice only if his co-medication had been changed. The LEV serum concentration in relation to LEV dose/body weight [level-to-dose ratio, LDR, (microgram/mL)/(mg/kg)] was calculated and compared for the most frequent drug combinations. Analysis of covariance (using age as covariate) carried out on the log-transformed data showed that co-medication had a highly significant (P < 0.001) effect on LEV serum concentrations. The median LDR of LEV was 0.32 for LEV + phenytoin, 0.32 for LEV + carbamazepine, 0.34 LEV + oxcarbazepine, 0.45 for LEV + lamotrigine, 0.46 for LEV + phenobarital, 0.52 for LEV monotherapy, 0.53 for LEV + valproic acid, and 0.54 LEV + valproic acid + lamotrigine. In co-medication with phenytoin (P < 0.001), carbamazepine (P < 0.001), and oxcarbazepine (P < 0.004), the LDR of LEV was significantly lower than it was with LEV monotherapy, whereas the LDR of LEV of patients on co-medication with valproic acid or lamotrigine did not differ significantly from the LDR of LEV of patients on LEV monotherapy (P > 0.05). Regression analysis including all 363 samples confirmed that other drugs (e.g., phenytoin, carbamazepine) lower LEV concentrations. In addition to co-medication, age had a significant effect on clearance of LEV. Children had lower LEV concentrations than adults on the same LEV dose per body weight. In contrast to other studies, our data point out that other enzyme-inducing antiepileptic drugs (e.g., phenytoin, carbamazepine) can moderately decrease LEV serum concentrations (by 20-30%). However, our observations should be confirmed by prospective pharmacokinetic studies.

Adolescent↗

PubMed2002

2-Deoxyglucose uptake during vocalization in the squirrel monkey brain.

In the squirrel monkey (Saimiri sciureus), the cerebral 2-deoxyglucose uptake was compared between animals made to vocalize by electrical stimulation of the periaqueductal grey and animals stimulated in the same structure, but sub-threshold for vocalization. A significantly higher 2-deoxyglucose uptake in the vocalizers than the non-vocalizers was found in the dorsolateral prefrontal cortex, supplementary and pre-supplementary motor area, anterior and posterior cingulate cortex, primary motor cortex, claustrum, centrum medianum, perifornical hypothalamus, periaqueductal grey, intercollicular region, dorsal mesencephalic reticular formation, peripeduncular nucleus, substantia nigra, nucl. ruber, paralemniscal area, trigeminal motor, principal and spinal nuclei, solitary tract nucleus, nucl. ambiguus, nucl. retroambiguus, nucl. hypoglossus, ventral raphe and large parts of the medullary reticular formation. The study makes clear that vocalization, even in the case of genetically pre-programmed patterns, depends upon an extensive network, beyond the well-known periaqueductal grey, nucl. retroambiguus and cranial motor nuclei pathway.

Animals↗

PubMed2002

Cortico-cortical projections of the motorcortical larynx area in the rhesus monkey.

The efferent cortico-cortical projections of the motorcortical larynx area were studied in three rhesus monkeys (Macaca mulatta), using biotin dextranamine as anterograde tracer. Identification of the larynx area was made with the help of electrical brain stimulation and indirect laryngoscopy. Heavy projections were found into the surrounding ventral and dorsal premotor cortex (areas 6V and D), primary motor cortex (area 4), the homolog of Broca's area (mainly area 44), fronto- and parieto-opercular cortex (including secondary somatosensory cortex), agranular, dysgranular and granular insula, rostral-most primary somatosensory cortex (area 3a), supplementary motor area (area 6M), anterior cingulate gyrus (area 24c) and dorsal postarcuate cortex (area 8A). Medium projections could be traced to the ventrolateral prefrontal and lateral orbital cortex (areas 47L and O), the primary somatosensory areas 3b and 2, the agranular and dysgranular insula, and the posteroinferior parietal cortex (area 7; PFG, PG). Minor projections ended in the lateral and dorsolateral prefrontal cortex (areas 46V and 8B), primary somatosensory area 1 and cortex within the intraparietal sulcus (PEa) and posterior sulcus temporalis superior (TPO). Due to its close spatial relationship to the insula on the one hand and the premotor cortex on the other, the larynx area shows projections which, in some respects, are not typical for classical primary motor cortex.

Afferent Pathways↗