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1.
J Physiol Paris ; 99(1): 58-65, 2006 Jan.
Article in English | MEDLINE | ID: mdl-16039101

ABSTRACT

Directed information transfer in the human brain occurs presumably by oscillations. As of yet, most approaches for the analysis of these oscillations are based on time-frequency or coherence analysis. The present work concerns the modeling of cortical 600 Hz oscillations, localized within the Brodmann Areas 3b and 1 after stimulation of the nervus medianus, by means of coupled differential equations. This approach leads to the so-called parameter identification problem, where based on a given data set, a set of unknown parameters of a system of ordinary differential equations is determined by special optimization procedures. Some suitable algorithms for this task are presented in this paper. Finally an oscillatory network model is optimally fitted to the data taken from ten volunteers.


Subject(s)
Cerebral Cortex/physiology , Evoked Potentials, Somatosensory/physiology , Nerve Net/physiology , Thalamus/physiology , Electric Stimulation , Electromagnetic Fields , Humans , Magnetic Resonance Imaging/statistics & numerical data , Models, Neurological , Models, Statistical , Nonlinear Dynamics , Reproducibility of Results
2.
Clin Neurophysiol ; 115(10): 2308-15, 2004 Oct.
Article in English | MEDLINE | ID: mdl-15351372

ABSTRACT

OBJECTIVE: The time courses of quadratic phase-coupling (QPC) of electroencephalographic burst and interburst patterns of the 'trace alternant' (TA) in full-term newborns have been quantified. METHODS: Using the Gabor expansion, a fast Fourier transformation based method, biamplitude, bicoherence and phase-bicoherence time courses of both burst and interburst patterns have been determined (common average reference EEG recordings). With a frequency resolution of 0.25 Hz and a frequency grid of 1-1.5 <==> 3.5-4.5 Hz (region-of-interest), a number of 15 frequency pairs result. These pairs have been investigated. RESULTS: The burst and the interburst patterns are characterized by temporally and topographically different QPC profiles. All differences are dominant at the electrode Fp1 followed by Fp2. There is a significant difference (combined multiple and global test strategy) in the QPC characteristics between both patterns within the time period from 0.75 to 1.5 s after the pattern onset at electrode Fp1. The maximal QPC in burst patterns (especially at Fp1) can be observed during this time period. In contrast to this finding, maximal QPC in interburst patterns (at Fp1) are reached immediately after the onset and at 3 s. Summarising all findings, a QPC-rhythm of 0.1 Hz during TA can be assumed. CONCLUSIONS: It can be assumed that the QPC rhythm of the TA is generated by a pattern-spanning time-variant phase-locking process and there are indications for a possible correspondence between the QPC rhythm and vegetative rhythms. SIGNIFICANCE: This study showed that advanced, time-variant analysis methods quantifying QPC rhythms are able to add new scientific information to the understanding of nature, characteristics and significance of TA in the neonatal EEG.


Subject(s)
Electroencephalography/statistics & numerical data , Infant, Newborn/physiology , Algorithms , Apgar Score , Electrooculography , Humans , Nonlinear Dynamics
3.
Prax Kinderpsychol Kinderpsychiatr ; 42(7): 234-40, 1993 Sep.
Article in German | MEDLINE | ID: mdl-8248022

ABSTRACT

At the end of the year 1941 a department for severely handicapped children, called "Specialized children's department" was established in the state mental hospital at Lüneburg. Until 1945 695 children were admitted there, 418 of them did not survive. The majority of those children were killed--mostly by means of high dosages of barbiturate. In this article the formation of the department, the origins of the approach, the explanations of the persons involved and the experiences of the affected parents are described.


Subject(s)
Disabled Persons/history , Euthanasia/history , Mental Disorders/history , Political Systems/history , Child , Child, Preschool , Germany , History, 20th Century , Humans , Infant , Infant, Newborn
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