Literature DB >> 7317796

Cortical blood vessels of the human brain.

H M Duvernoy, S Delon, J L Vannson.   

Abstract

The study is divided into two parts. (a) Superficial or pial vessels: Arterioles and venules at the gyrus surface as well as their mode of penetration into or emergence from nervous tissue is described. The absence of pial capillaries is noted. Arterial and venous anastomoses are described whereas arteriovenous anastomoses were not encountered. In particular, the relationship of superficial vessels to the arachnoid was studied. (b) Intracortical vessels: Arteries and veins were divided into 5 groups according to their degree of cortical penetration. Considering its density, the vascular network of the cortex was divided into 4 vascular layers. A correlation between these layers and the cellular layers was established. Problems in distinguishing between arteries and veins, the geometric disposition of cortical vessels, different types of anastomoses and particular vascular features whose significance remains unclear, are discussed.

Entities:  

Mesh:

Year:  1981        PMID: 7317796     DOI: 10.1016/0361-9230(81)90007-1

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  204 in total

1.  MR blood oxygenation level-dependent signal differences in parenchymal and large draining vessels: implications for functional MR imaging.

Authors:  T Krings; S G Erberich; F Roessler; J Reul; A Thron
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

2.  Functional MRI for presurgical planning: problems, artefacts, and solution strategies.

Authors:  T Krings; M H Reinges; S Erberich; S Kemeny; V Rohde; U Spetzger; M Korinth; K Willmes; J M Gilsbach; A Thron
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-06       Impact factor: 10.154

3.  Cortical representations of symbols, objects, and faces are pruned back during early childhood.

Authors:  Jessica F Cantlon; Philippe Pinel; Stanislas Dehaene; Kevin A Pelphrey
Journal:  Cereb Cortex       Date:  2010-05-10       Impact factor: 5.357

Review 4.  Large-scale automated histology in the pursuit of connectomes.

Authors:  David Kleinfeld; Arjun Bharioke; Pablo Blinder; Davi D Bock; Kevin L Briggman; Dmitri B Chklovskii; Winfried Denk; Moritz Helmstaedter; John P Kaufhold; Wei-Chung Allen Lee; Hanno S Meyer; Kristina D Micheva; Marcel Oberlaender; Steffen Prohaska; R Clay Reid; Stephen J Smith; Shinya Takemura; Philbert S Tsai; Bert Sakmann
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

Review 5.  The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal.

Authors:  Nikos K Logothetis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

Review 6.  Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals.

Authors:  Seong-Gi Kim; Seiji Ogawa
Journal:  J Cereb Blood Flow Metab       Date:  2012-03-07       Impact factor: 6.200

7.  Basing perceptual decisions on the most informative sensory neurons.

Authors:  Miranda Scolari; John T Serences
Journal:  J Neurophysiol       Date:  2010-07-14       Impact factor: 2.714

8.  Ultra high-resolution fMRI and electrophysiology of the rat primary somatosensory cortex.

Authors:  Yen-Yu Ian Shih; You-Yin Chen; Hsin-Yi Lai; Yu-Chieh Jill Kao; Bai-Chuang Shyu; Timothy Q Duong
Journal:  Neuroimage       Date:  2013-02-04       Impact factor: 6.556

9.  Ultra-Slow Single-Vessel BOLD and CBV-Based fMRI Spatiotemporal Dynamics and Their Correlation with Neuronal Intracellular Calcium Signals.

Authors:  Yi He; Maosen Wang; Xuming Chen; Rolf Pohmann; Jonathan R Polimeni; Klaus Scheffler; Bruce R Rosen; David Kleinfeld; Xin Yu
Journal:  Neuron       Date:  2018-02-21       Impact factor: 17.173

10.  Perivascular space fluid contributes to diffusion tensor imaging changes in white matter.

Authors:  Farshid Sepehrband; Ryan P Cabeen; Jeiran Choupan; Giuseppe Barisano; Meng Law; Arthur W Toga
Journal:  Neuroimage       Date:  2019-04-30       Impact factor: 6.556

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