Literature DB >> 28873338

Myths and truths about the cellular composition of the human brain: A review of influential concepts.

Christopher S von Bartheld1.   

Abstract

Over the last 50 years, quantitative methodology has made important contributions to our understanding of the cellular composition of the human brain. Not all of the concepts that emerged from quantitative studies have turned out to be true. Here, I examine the history and current status of some of the most influential notions. This includes claims of how many cells compose the human brain, and how different cell types contribute and in what ratios. Additional concepts entail whether we lose significant numbers of neurons with normal aging, whether chronic alcohol abuse contributes to cortical neuron loss, whether there are significant differences in the quantitative composition of cerebral cortex between male and female brains, whether superior intelligence in humans correlates with larger numbers of brain cells, and whether there are secular (generational) changes in neuron number. Do changes in cell number or changes in ratios of cell types accompany certain diseases, and should all counting methods, even the theoretically unbiased ones, be validated and calibrated? I here examine the origin and the current status of major influential concepts, and I review the evidence and arguments that have led to either confirmation or refutation of such concepts. I discuss the circumstances, assumptions and mindsets that perpetuated erroneous views, and the types of technological advances that have, in some cases, challenged longstanding ideas. I will acknowledge the roles of key proponents of influential concepts in the sometimes convoluted path towards recognition of the true cellular composition of the human brain.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; Cell counting; Glia neuron ratio; History; Human brain; Stereology

Mesh:

Year:  2017        PMID: 28873338      PMCID: PMC5834348          DOI: 10.1016/j.jchemneu.2017.08.004

Source DB:  PubMed          Journal:  J Chem Neuroanat        ISSN: 0891-0618            Impact factor:   3.052


  209 in total

1.  Pronounced loss of cell nuclei and anisotropic deformation of thick sections.

Authors:  B B Andersen; H J Gundersen
Journal:  J Microsc       Date:  1999-10       Impact factor: 1.758

2.  Absolute brain size: did we throw the baby out with the bathwater?

Authors:  Lori Marino
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-05       Impact factor: 11.205

Review 3.  Update on stereology for light microscopy.

Authors:  Stefano Geuna; Celia Herrera-Rincon
Journal:  Cell Tissue Res       Date:  2015-03-06       Impact factor: 5.249

4.  Neocortical cell counts in normal human adult aging.

Authors:  R D Terry; R DeTeresa; L A Hansen
Journal:  Ann Neurol       Date:  1987-06       Impact factor: 10.422

5.  The elderly brain. A quantitative analysis in the cerebral cortex of two cases.

Authors:  E J Colon
Journal:  Psychiatr Neurol Neurochir       Date:  1972 Jul-Aug

6.  History of neuromorphometry.

Authors:  H Haug
Journal:  J Neurosci Methods       Date:  1986-10       Impact factor: 2.390

Review 7.  Pyramidal nerve cell loss in Alzheimer's disease.

Authors:  D M Mann
Journal:  Neurodegeneration       Date:  1996-12

8.  Validation of the isotropic fractionator: comparison with unbiased stereology and DNA extraction for quantification of glial cells.

Authors:  Jami Bahney; Christopher S von Bartheld
Journal:  J Neurosci Methods       Date:  2013-11-12       Impact factor: 2.390

9.  Development of the mesencephalic nucleus of the trigeminal nerve in chick embryos: target innervation, neurotrophin receptors, and cell death.

Authors:  C S von Bartheld; M Bothwell
Journal:  J Comp Neurol       Date:  1993-02-08       Impact factor: 3.215

10.  Three counting methods agree on cell and neuron number in chimpanzee primary visual cortex.

Authors:  Daniel J Miller; Pooja Balaram; Nicole A Young; Jon H Kaas
Journal:  Front Neuroanat       Date:  2014-05-16       Impact factor: 3.856

View more
  13 in total

1.  Medical Conditions Linked to Atherosclerosis Are Associated With Magnified Cortical Thinning in Individuals With Alcohol Use Disorders.

Authors:  Timothy C Durazzo; Linh-Chi Nguyen; Dieter J Meyerhoff
Journal:  Alcohol Alcohol       Date:  2020-06-25       Impact factor: 2.826

2.  Predicting age from cortical structure across the lifespan.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Eur J Neurosci       Date:  2018-02-12       Impact factor: 3.386

Review 3.  Control of complex behavior by astrocytes and microglia.

Authors:  P I Ortinski; K J Reissner; J Turner; T A Anderson; A Scimemi
Journal:  Neurosci Biobehav Rev       Date:  2022-04-01       Impact factor: 9.052

Review 4.  A concise review of optical, physical and isotropic fractionator techniques in neuroscience studies, including recent developments.

Authors:  Ömür Gülsüm Deniz; Gamze Altun; Arife Ahsen Kaplan; Kiymet Kübra Yurt; Christopher S von Bartheld; Suleyman Kaplan
Journal:  J Neurosci Methods       Date:  2018-07-23       Impact factor: 2.390

Review 5.  The Cellular Senescence Stress Response in Post-Mitotic Brain Cells: Cell Survival at the Expense of Tissue Degeneration.

Authors:  Eric Sah; Sudarshan Krishnamurthy; Mohamed Y Ahmidouch; Gregory J Gillispie; Carol Milligan; Miranda E Orr
Journal:  Life (Basel)       Date:  2021-03-11

6.  Contributions of glucocorticoid receptors in cortical astrocytes to memory recall.

Authors:  William W Taylor; Barry R Imhoff; Zakia Sultana Sathi; Wei Y Liu; Kristie M Garza; Brian G Dias
Journal:  Learn Mem       Date:  2021-03-15       Impact factor: 2.460

Review 7.  Direct Conversion to Achieve Glial Cell Fates: Oligodendrocytes and Schwann Cells.

Authors:  Wonjin Yun; Yong Jun Kim; Gabsang Lee
Journal:  Int J Stem Cells       Date:  2022-02-28       Impact factor: 2.500

8.  Estimation of neuron parameters from imperfect observations.

Authors:  Joseph D Taylor; Samuel Winnall; Alain Nogaret
Journal:  PLoS Comput Biol       Date:  2020-07-16       Impact factor: 4.475

9.  Plasma tau predicts cerebral vulnerability in aging.

Authors:  Jose L Cantero; Mercedes Atienza; Jaime Ramos-Cejudo; Silvia Fossati; Thomas Wisniewski; Ricardo S Osorio
Journal:  Aging (Albany NY)       Date:  2020-11-04       Impact factor: 5.682

Review 10.  Brain aging mechanisms with mechanical manifestations.

Authors:  Yana Blinkouskaya; Andreia Caçoilo; Trisha Gollamudi; Shima Jalalian; Johannes Weickenmeier
Journal:  Mech Ageing Dev       Date:  2021-10-01       Impact factor: 5.432

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.