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At least 19 recordsLinked to original sources
PubMed1975

Atlas of estrogen-concentrating cells in the central nervous system of the squirrel monkey.

Estrogen is concentrated within cellular nuclei in discrete regions of the monkey brain 30 and 60 minutes following intravenous injection of [3H] estradiol. Chromatographic data is provided to suggest that most of the localized estrogen is in the form of estradiol with lesser amounts of estrone and estriol. Three "major" areas of estrogen accumulation include: (1) preopticostrial accumulation: n. preopticus medialis--n. interstitialis striae terminalis, (2) basal hypothalamic accumulation: n. infundibularis--n. ventromedialis--n. premammillaris ventralis, and (3) the amygdaloid accumulation. Several "minor" areas of estrogen accumulation include the tuberculum olfactorium, insulae Calleja, n. triangularis septi, a. hypothalamica anterior, n. anterior hypothalami, n. paraventricularis, n. supraopticus, n. periventricularis and the substantia grisea centralis. The neocortex, rhombencephalon and spinal cord are essentially unlabeled. The major areas of accumulation are similar in several other mammalian and avian species while these, and some minor areas of accumulation, have been shown in neuroanatomical studies to be interconnected by several pathways, especially the stria terminalis. Lesion, implant, stimulation, recording and morphometric studies, in several species, support the concept that this arrangement provides a neuroanatomical substrate which would allow the integration of the various facets of the neuroendocrine reproductive response.

Amygdala↗
PubMed1976

A cytoarchitectonic atlas of the mouse hypothalamus.

A description of the organization, areas, and cell groups within the hypothalamus of the mouse is presented in detail. Photomicrographs of cell-stained serial sections through the hypothalamus in frontal, sagittal and horizontal planes are included. The hypothalamus has been divided basically into medial and lateral parts with most well-defined cell groups or nuclei lying within the medial subdivision and surrounded by diffuse collections of cells referred to as areas. The heterogenetiy of cell types within most hypothalamic nuclei and areas has been emphasized with the consequent implications for heterogeneity of neuronal connections and of functions. Recently introduced neuroanatomical techniques permitting increased attention to the cellular level of organization have demonstrated precise connections and functional localization of cells within the hypothalamus. While cytoarchitectonic distinctions imply functional distinctions, morphological and experimental evidence suggest the existence also of systems of cells which transcend conventional cytoarchitectonic boundaries, the cells within each system being interconnected functionally or neuronally.

Animals↗
PubMed1978

A stereotaxic atlas of the brain of the three-day-old domestic chick.

Preparation of a stereotaxic atlas of the brain of the 3-day-old domestic chick was prompted by the widespread use of chicks in behavioral and pharmacological research. The atlas is comprised of 26 frontal plates extending from the frontal pole to the level of the hypoglossal nucleus, and one sagittal plate at lateral 0.4 mm. Marking lesions were used to ascertain coordinates, the brains were embedded in albumin and sections cut at 36 mmu. The brain sections were stained with cresyl violet for nuclei and with hematoxylin for fibers. Unstained brain sections were used as a guide in drawing the plates to correct for shrinkage and distortion. The use of the atlas for research purposes for one year, plus test lesions targeted for specific brain structures, indicates the atlas is accurate to within 0.5 mm.

Animals↗
PubMed1982

Nomenclature and location of avian hypothalamic nuclei and associated circumventricular organs.

Nineteen nuclei and two areas within the avian hypothalamus were identified and located on specific corss-sectional planes of a stereotaxic atlas of the fowl. Latin terms applied to the nuclei and associated fiber tracts were compared among several authors and a suggested standardized nomenclature presented for hypothalamic structures. Nine circumventricular organs (CVOs) were also located throughout the prosencephalon, mesencephalon, and rhombencephalon of the chicken. A majority of the CVOs were found near nuclei.

Animals↗
PubMedDate not supplied

The development of the series of U.S. cancer atlases: implications for future epidemiologic research.

An historic perspective on the development of the National Cancer Institute's series of cancer atlases is provided. Emphasis is placed on the role which emergent questions concerning environmental determinants of cancer played in the acquisition and utilization of data resources. Studies which were fielded as a consequence of the atlases are highlighted. The legacy of the collective effort of many persons who worked on the development of the cancer atlases-the facilitation of many current epidemiologic investigations-is discussed.

Atlases as Topic↗
PubMed1997

Matching a computerized brain atlas to multimodal medical images.

A method for matching a digital brain anatomical atlas to multimodal medical images (MRI, PET, and SPET) was implemented. The digital atlas was derived from anatomical templates of the brain, cut according to the orbitomeatal orientation. The atlas consists of a set of contiguous slices schematically describing the brain as anatomical contours and of a set of regions of interest (ROIs) classifying the brain into functionally homogeneous areas. The matching procedure includes (a) an edge detection method for the extraction of anatomical contours and (b) a warping algorithm based on contour matching to fit the atlas to the individual brain anatomy, as described by MRI. Once the atlas is matched to MRI, the associated templates of ROI can be overlapped with functional PET/SPET studies, individually registered to MRI. The method was tested on MRI studies. The efficacy of the warping algorithm in overlapping atlas and MRI contours was assessed by calculating for each slice an index representing the extent of overlapping (I). Values of I in the range 0.8-0.9 were found (I = 1 complete overlapping). Local accuracy was also verified by comparing the position of correspondent anatomical ROI in the atlas and MRI images before and after warping. The atlas-matching procedure was applied to representative MRI/PET clinical images for an objective regional analysis of functional data.

Algorithms↗
PubMed1993

Functional neurosurgery using 3-D computer stereotactic atlas.

To facilitate a full-scale representation of thalamic nuclei and surrounding subcortical structures in the course of stereotactic procedures, a 3-D computer atlas of this region has been created, which permits visualization of the operative field including the involved structures and the position of the instrument. Necessary adaptation is performed according to the position of the intracranial reference points derived from CT-scan. Working with the atlas permitted more accurate and safer surgery. An IBM PC/AT computer was used.

Adult↗
PubMed1989

[Cartography as an instrument in epidemiology: methodologic considerations for the new Swiss cancer atlas].

Maps not following the syntactical rules of the graphical language entail the risk of being misunderstood. Maps aim at demonstrating spatial patterns and visualizing dividing lines. Representation of tabular values is not a principal goal. Maps should be "seen" as a whole, not be "read" element by element. Some technical aspects of cartography are discussed (distortion of information, grouping of data, adequacy and use of colour). The guidelines for the new Swiss cancer atlas are based on these general principles. A continuous-shading technique avoiding class intervals is being used. It allows the combination of maps and diagrams of different aggregations of the same data using a common shading scale. Indications of significance are integrated into all figures. Geographical maps are enriched by diagrams showing data for 9 cities, 5 language regions, for a grouping by size of community and for a socioeconomical classification of regions. The universal shading scale enables to compare the figures separately and crossways. Relationships not apparent in a traditional map might be revealed.

Atlases as Topic↗
PubMed2016

Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas.

Migraine is a common disabling neurovascular brain disorder typically characterised by attacks of severe headache and associated with autonomic and neurological symptoms. Migraine is caused by an interplay of genetic and environmental factors. Genome-wide association studies (GWAS) have identified over a dozen genetic loci associated with migraine. Here, we integrated migraine GWAS data with high-resolution spatial gene expression data of normal adult brains from the Allen Human Brain Atlas to identify specific brain regions and molecular pathways that are possibly involved in migraine pathophysiology. To this end, we used two complementary methods. In GWAS data from 23,285 migraine cases and 95,425 controls, we first studied modules of co-expressed genes that were calculated based on human brain expression data for enrichment of genes that showed association with migraine. Enrichment of a migraine GWAS signal was found for five modules that suggest involvement in migraine pathophysiology of: (i) neurotransmission, protein catabolism and mitochondria in the cortex; (ii) transcription regulation in the cortex and cerebellum; and (iii) oligodendrocytes and mitochondria in subcortical areas. Second, we used the high-confidence genes from the migraine GWAS as a basis to construct local migraine-related co-expression gene networks. Signatures of all brain regions and pathways that were prominent in the first method also surfaced in the second method, thus providing support that these brain regions and pathways are indeed involved in migraine pathophysiology.

Atlases as Topic↗
PubMed1978

The clinical use of a craniofacial growth atlas.

A method of using normative growth data from An Atlas of Craniofacial Growth in planning orthodontic treatment and monitoring growth and response to therapy has been presented. Since the Atlas contains data on many cephalometric variables for both sexes from the ages of 6 to 16 years, the clinician can use any popular cephalometric diagnostic analysis for individualized diagnosis, treatment planning, and assessment of results. A practical example has been shown, applying the method to a young girl wearing a Frankel appliance during the first phase of treatment.

Age Factors↗