Biomedical subjects

M Akhtari

Publications and source records attributed to M Akhtari.

4 recordsLinked to original sources

PubMed1997

The locus for combined factor V-factor VIII deficiency (F5F8D) maps to 18q21, between D18S849 and D18S1103.

Combined factor V-factor VIII deficiency (F5F8D) is a rare, autosomal recessive coagulation disorder in which the levels of both coagulation factor V and coagulation factor VIII are diminished. In order to map and subsequently clone the gene responsible for this phenotype, DNAs from 19 families (16 from Iran, 2 from Pakistan, and 1 from Algeria) with a total of 32 affected individuals were collected for a genomewide linkage search using genotypes of highly informative DNA polymorphisms. All pedigrees except two contained at least one consanguineous marriage. A maximum LOD score (Zmax) of 14.82 for theta = .02 was generated with marker D18S1129 in 18q21; LOD scores > 9 were obtained for several other markers-D18S849, D18S1103, D18S64, and D18S862. Multipoint analysis resulted in Zmax = 18.91 for the interval between D18S1129 and D18S64. Informative recombinants placed the locus for F5F8D between D18S849 and D18S1103, in an interval of approximately 1 cM. These results are similar to the recently reported linkage of this disease to chromosome 18q in Jewish families (Nichols et al. 1997) and provide evidence that the same gene is responsible for all F5F8D among human populations. The difference in clinical severity of the phenotype in unrelated families, as well as the failure to detect a specific haplotype of DNA polymorphisms in the consanguineous Iranian families, suggests the existence of different molecular defects in the F5F8D gene. There exists an apparently gap-free contig with CEPH YACs linking the two markers on either side of the critical region. Positional cloning efforts are now in progress to clone the F5F8D gene.

Chromosome Mapping↗

PubMed1996

Multiple source localization using genetic algorithms.

We present a new procedure for localizing simultaneously active multiple brain sources that overlap in both space and time on EEG recordings. The source localization technique was based on a spatio-temporal model and a genetic algorithm search routine. The method was successfully applied to the localization of two dipole sources from several sets of simulated potentials with various signal-to-noise ratios (SNR). The different SNR values resembled evoked responses and epileptic spikes as commonly seen in the laboratory. Results of the simulation studies yielded localization accuracy ranging from 0.01 to 0.07 cm with an SNR of 10; from 0.02 to 0.26 cm with an SNR of 5; and from 0.06 to 0.73 cm when the SNR was equal to 2. Additionally, two sets of simulations were based on the dipole arrangements and time activities of data obtained during electrical stimulation of the median nerve in human subjects. These studies yielded localization accuracy within 0.1 cm. We also studied the localization accuracy of the algorithm using a physical model incorporating potential measurements of two current dipoles embedded in a sphere. In this situation the algorithm was successful in localizing the two simultaneously active sources to within 0.07-0.15 cm.

Algorithms↗

PubMed1994

Somatosensory evoked response source localization using actual cortical surface as the spatial constraint.

We localized right median nerve somatosensory evoked responses in a normal human subject using an equivalent dipole method applied to magnetic field recordings. High resolution, 3-dimensional MRI data were used to confine source locations to the cortical surface. Results localized in Brodmann area 3b corresponding to location of hand somatosensory cortex derived from direct brain stimulation studies. The solution was unique and total computational time for an exhaustive, brute-force search was small and the results realistic due to applied anatomical constraints. This study demonstrates feasibility of accurate, non-invasive, realistic localization of dynamic human cortical function using spatial constraints provided by MRI images.

Adult↗

PubMed1988

Assessment of lung water distribution by nuclear magnetic resonance. A new method for quantifying and monitoring experimental lung injury.

We have developed a new analytical method that uses nuclear magnetic resonance (NMR) imaging data to quantify lung water content and distribution. This new method generates a distribution of lung water density in which the fraction of voxels corresponding to a given water density is plotted on the vertical axis as a function of water density on the horizontal axis, thereby complementing the spatial information provided by the NMR image. We obtained reproducible lung water distribution data at comparable lung volumes in normal excised lungs and in intact living rats. In normal excised unperfused rat lungs, the distribution varied with the degree of inflation, but the changes were small compared with those associated with lung edema. The lung water density distribution changed markedly after induction of lung edema by intrabronchial saline instillation, intravenous oleic acid injection, and rapid intravenous saline infusion. Lung water density distribution data were well correlated (correlation coefficient = 0.948 for the excised lungs and 0.823 for the intact living rats) with gravimetric lung water measurements. The new analytical method is noninvasive, provides easily repeatable measurements, and is as sensitive as the gravimetric technique to lung water changes.

Animals↗