Biomedical subjects

Michael H Thaut

Publications and source records attributed to Michael H Thaut.

9 recordsLinked to original sources

PubMed2006

Music increases frontal EEG coherence during verbal learning.

Anecdotal and some empirical evidence suggests that music can enhance learning and memory. However, the mechanisms by which music modulates the neural activity associated with learning and memory remain largely unexplored. We evaluated coherent frontal oscillations in the electroencephalogram (EEG) while subjects were engaged in a modified version of Rey's Auditory Verbal Learning Test (AVLT). Subjects heard either a spoken version of the AVLT or the conventional AVLT word list sung. Learning-related changes in coherence (LRCC) were measured by comparing the EEG during word encoding on correctly recalled trials to the immediately preceding trial on which the same word was not recalled. There were no significant changes in coherence associated with conventional verbal learning. However, musical verbal learning was associated with increased coherence within and between left and right frontal areas in theta, alpha, and gamma frequency bands. It is unlikely that the different patterns of LRCC reflect general performance differences; the groups exhibited similar learning performance. The results suggest that verbal learning with a musical template strengthens coherent oscillations in frontal cortical networks involved in verbal encoding.

Acoustic Stimulation↗

PubMed2005

Sensorimotor transduction of time information is preserved in subjects with cerebellar damage.

The cerebellar contribution to motor entrainment through rhythmic auditory stimuli was analyzed by comparing rhythmic motor responses in subjects with cerebellar pathologies and in healthy controls. Eleven patients with cerebellar lesions and eight healthy subjects tapped in synchrony with an auditory rhythmic stimulus using a hand-held pencil-shaped electrode connected to a PC. A 60-stimulus sequence was delivered with an ISI of 500 ms and changed at random to a new ISI value with either consciously perceived (+/-50 ms) or unperceived tempo changes (+/-10 ms). Synchronization patterns for both groups were computed based on the timing of inter-response intervals (IRIs) and synchronization errors (SE). Variability of IRI as well as the timing of adaptation patterns after the tempo changes were modeled and analyzed mathematically using a logistic/sigmoid function. Healthy subjects performed with significantly lower IRI variability than cerebellar patients. Patients with focal lesions performed with significantly lower IRI variability than patients with atrophic lesions. Asymptote parameters during isochronous synchronization as well as slope angles and symmetry points of the adaptation curves after tempo perturbation showed no significant differences between groups. Present data indicate that temporal variability of rhythmic motor responses is differentially affected by distinct cerebellar pathologies but that motor entrainment to auditory rhythms is not affected by lesion of the cerebellar circuits.

Acoustic Stimulation↗

PubMed2005

Temporal entrainment of cognitive functions: musical mnemonics induce brain plasticity and oscillatory synchrony in neural networks underlying memory.

In a series of experiments, we have begun to investigate the effect of music as a mnemonic device on learning and memory and the underlying plasticity of oscillatory neural networks. We used verbal learning and memory tests (standardized word lists, AVLT) in conjunction with electroencephalographic analysis to determine differences between verbal learning in either a spoken or musical (verbal materials as song lyrics) modality. In healthy adults, learning in both the spoken and music condition was associated with significant increases in oscillatory synchrony across all frequency bands. A significant difference between the spoken and music condition emerged in the cortical topography of the learning-related synchronization. When using EEG measures as predictors during learning for subsequent successful memory recall, significantly increased coherence (phase-locked synchronization) within and between oscillatory brain networks emerged for music in alpha and gamma bands. In a similar study with multiple sclerosis patients, superior learning and memory was shown in the music condition when controlled for word order recall, and subjects were instructed to sing back the word lists. Also, the music condition was associated with a significant power increase in the low-alpha band in bilateral frontal networks, indicating increased neuronal synchronization. Musical learning may access compensatory pathways for memory functions during compromised PFC functions associated with learning and recall. Music learning may also confer a neurophysiological advantage through the stronger synchronization of the neuronal cell assemblies underlying verbal learning and memory. Collectively our data provide evidence that melodic-rhythmic templates as temporal structures in music may drive internal rhythm formation in recurrent cortical networks involved in learning and memory.

Brain↗

PubMed2005

The future of music in therapy and medicine.

The understanding of music's role and function in therapy and medicine is undergoing a rapid transformation, based on neuroscientific research showing the reciprocal relationship between studying the neurobiological foundations of music in the brain and how musical behavior through learning and experience changes brain and behavior function. Through this research the theory and clinical practice of music therapy is changing more and more from a social science model, based on cultural roles and general well-being concepts, to a neuroscience-guided model based on brain function and music perception. This paradigm shift has the potential to move music therapy from an adjunct modality to a central treatment modality in rehabilitation and therapy.

Acoustic Stimulation↗

PubMed2004

Statistical analysis for finger tapping with a periodic external stimulus.

In this paper we outline an experiment in which seven subjects attempted to tap in synchrony with a pacing stimulus with the interstimulus interval that varied in a cycle (T,T+dT,T, T-dT) repeating every fourth interval, where T represents an unexpected step change of an interstimulus interval. Conditions included three levels of T= (400, 500, and 600 msec.) with four levels of dT= 1, 3, 5, and 7% of T). The statistical analysis indicated that small changes in T lead to rapid matching of the interresponse intervals to the new interstimulus intervals even when the variation in the input is not apparent to subjects.

Adult↗

PubMed2003

Rapid motor adaptations to subliminal frequency shifts during syncopated rhythmic sensorimotor synchronization.

The synchronization of rhythmic arm movements to a syncopated metronome cue was studied in a step-change design whereby small tempo shifts were inserted at fixed time points into the metronome frequency. The cueing sequence involved three stimulus types: (1) target contact in synchrony with the metronome beats, (2) syncopated target contact midway in time between audible beats, and (3) syncopated target contact following either a +2% or -2% change in stimulus frequency. Analysis of normalized and aggregated data revealed that (1) during the syncopation condition the response period showed a rapid adaptation to the frequency-incremented stimulus period, (2) response period was less variable during syncopated movement, (3) mean synchronization error and variability, calculated during syncopation relative to the mathematical midpoint of the stimulus cycle, were reduced during syncopated movements, and (4) synchronization error following the frequency increment showed trends to return linearly to pre-increment values which was fully achieved in the -2% change condition only. The results suggest that frequency entrainment to stimulus period was possible during syncopated movement with the response and stimulus onsets 180 degrees out of phase. Most remarkably, 70-80% of the adaptation of the response period to the new stimulus period was immediately attained during the second half cycle of the syncopated movement. Finally, a mathematical model, based on recursion, was introduced that accurately modeled actual data as a function of the previous stimulus and response intervals and a weighted response of period error and synchronization error, which showed dominance of frequency entrainment over phase entrainment during rhythmic synchronization.

Adaptation, Physiological↗

PubMed2003

Comparison of linear, nonlinear, and feature selection methods for EEG signal classification.

The reliable operation of brain-computer interfaces (BCIs) based on spontaneous electroencephalogram (EEG) signals requires accurate classification of multichannel EEG. The design of EEG representations and classifiers for BCI are open research questions whose difficulty stems from the need to extract complex spatial and temporal patterns from noisy multidimensional time series obtained from EEG measurements. The high-dimensional and noisy nature of EEG may limit the advantage of nonlinear classification methods over linear ones. This paper reports the results of a linear (linear discriminant analysis) and two nonlinear classifiers (neural networks and support vector machines) applied to the classification of spontaneous EEG during five mental tasks, showing that nonlinear classifiers produce only slightly better classification results. An approach to feature selection based on genetic algorithms is also presented with preliminary results of application to EEG during finger movement.

Algorithms↗

PubMed2003

Neural basis of rhythmic timing networks in the human brain.

The study of rhythmicity provides insights into the understanding of temporal coding of music and temporal information processing in the human brain. Auditory rhythms rapidly entrain motor responses into stable steady synchronization states below and above conscious perception thresholds. Studying the neural dynamics of entrainment by measuring brain wave responses (MEG) we found nonlinear scaling of M100 amplitudes generated in primary auditory cortex relative to changes in the period of the rhythmic interval during subliminal and supraliminal tempo modulations. In recent brain imaging studies we have described the neural networks involved in motor synchronization to auditory rhythm. Activated regions include primary sensorimotor and cingulate areas, bilateral opercular premotor areas, bilateral SII, ventral prefrontal cortex, and, subcortically, anterior insula, putamen, and thalamus. Within the cerebellum, vermal regions and anterior hemispheres ipsilateral to the movement became significantly activated. Tracking temporal modulations additionally activated predominantly right prefrontal, anterior cingulate, and intraparietal regions as well as posterior cerebellar hemispheres. Furthermore, strong evidence exists for the substantial benefits of rhythmic stimuli in rehabilitation training with motor disorders.

Auditory Perception↗

PubMed2002

Delay modulates spectral correlates in the human EEG of non-verbal auditory working memory.

Studies using neuroimaging and electro- and magnetoencephalographic techniques have begun to identify the brain structures and dynamics that underlie auditory working memory. However, past research has not clearly characterized how the neural dynamics varies with the delay over which auditory information must be maintained. We used electroencephalogram band power as a measure of relative neuronal synchrony during a non-verbal auditory working memory task. Comparing the working memory task with a control recognition task, the relative synchrony in bilateral theta and alpha bands was unchanged using a two second delay. However, five and ten second delays produced increases and decreases in relative synchrony, respectively. The memory task also induced greater synchronization in beta and gamma bands over the right temporal cortex during the two and five second delays. The results suggest that the cortical dynamics that underlie auditory working memory are highly dependent upon a duration-dependent encoding strategy.

Acoustic Stimulation↗