Brain mapping

This article is about brain mapping. For broader coverage, see Outline of brain mapping.
Brain mapping
Diagnostics
MeSH D001931

Brain mapping is a set of neuroscience techniques predicated on the mapping of (biological) quantities or properties onto spatial representations of the (human or non-human) brain resulting in maps.

According to the definition established in 2013 by Society for Brain Mapping and Therapeutics (SBMT), brain mapping is specifically defined, in summary, as the study of the anatomy and function of the brain and spinal cord through the use of imaging, immunohistochemistry, molecular & optogenetics, stem cell and cellular biology, engineering, neurophysiology and nanotechnology.

Overview

All neuroimaging can be considered part of brain mapping. Brain mapping can be conceived as a higher form of neuroimaging, producing brain images supplemented by the result of additional (imaging or non-imaging) data processing or analysis, such as maps projecting (measures of) behavior onto brain regions (see fMRI). One such map, called a connectogram, depicts cortical regions around a circle, organized by lobes. Concentric circles within the ring represent various common neurological measurements, such as cortical thickness or curvature. In the center of the circles, lines representing white matter fibers illustrate the connections between cortical regions, weighted by fractional anisotropy and strength of connection.[1]

Brain mapping techniques are constantly evolving, and rely on the development and refinement of image acquisition, representation, analysis, visualization and interpretation techniques. Functional and structural neuroimaging are at the core of the mapping aspect of brain mapping.

Computational anatomy

Further information: Computational anatomy

Computational anatomy is a field that evolved out of the field of Medical imaging specifically for Brain mapping.

Central to computational anatomy are the creation of atlases, both individual atlases such as the MNI or Tailarach coordinates, but also population atlases generated from populations of scans. As well central to computational anatomy is mapping from one coordinate system to another via diffeomorphic mapping and LDDMM.


Some scientists have criticized the brain image-based claims made in scientific journals and the popular press, like the discovery of "the part of the brain responsible" things like love or musical ability or a specific memory. Many mapping techniques have a relatively low resolution, including hundreds of thousands of neurons in a single voxel. Many functions also involve multiple parts of the brain, meaning that this type of claim is probably both unverifiable with the equipment used, and generally based on an incorrect assumption about how brain functions are divided. It may be that most brain functions will only be described correctly after being measured with much more fine-grained measurements that look not at large regions but instead at a very large number of tiny individual brain circuits. Many of these studies also have technical problems like small sample size or poor equipment calibration which means they cannot be reproduced - considerations which are sometimes ignored to produce a sensational journal article or news headline. In some cases the brain mapping techniques are used for commercial purposes, lie detection, or medical diagnosis in ways which have not been scientifically validated.[2]

History

In 1962 The origin of Brain Mapping Research was first started in Ohio, and conducted at the Columbus State Hospital. More than 500 subjects were scanned using the US patented Hyper-frequency Electroencephalograph (Hyfreeg) brain scanner for the Brain Mapping Research.[3] A detailed brain mapping report was published by the Battelle Memorial Institute "A New Window into the Human Brain?".[4] The Journal of the American Medical Association also published a report concerning this brain mapping research: "Is Nervous System Amplitude or Frequency Oriented?".[5] JAMA reported: "One of the points on which most neurologist have agreed, is that the nervous system is amplitude oriented. Now a new theory indicates exactly the opposite--that the nervous system actually is frequency oriented." As a result of the brain mapping research, the Psychiatric team members were able to cure: Epilepsy, Psychomotor Epilepsy, Hallucinations, and Schizophrenia by lowering the neuronal activity in the Reticular Activating System located in the Brain Stem. They also observed the functions of Dreaming and the unique functions of the two Brain Hemispheres that was later confirmed by a girl born with only one Hemisphere.[6] [7]

A book has been published by Kindle Books describing the original Brain Mapping Research project conducted by Battelle Memorial Institute, and identifies a behavioral classification matrix and methods for personality modification.[8]

Victor H. Fischer was the Principal Investigator of the original Psychiatric team incorporating: ten Clinical Psychiatrists, Dr. Paul W. Watkins MD as a member of the Psychiatric staff, Dr. Calvin Baker MD, former commissioner of the Ohio Department of Mental Hygiene, and Neurologist consultant, USAF Colonel Robert F. Hood, MD, Neurology and Psychiatry, Director of Psychiatry, Wright-Patterson Medical Center, USA.

In the late 1980s in the United States, the Institute of Medicine of the National Academy of Science was commissioned to establish a panel to investigate the value of integrating neuroscientific information across a variety of techniques.[9]

Of specific interest is using structural and functional magnetic resonance imaging (fMRI), diffusion MRI (dMRI), magnetoencephalography (MEG), electroencephalography (EEG), positron emission tomography (PET), Near-infrared spectroscopy (NIRS) and other non-invasive scanning techniques to map anatomy, physiology, perfusion, function and phenotypes of the human brain. Both healthy and diseased brains may be mapped to study memory, learning, aging, and drug effects in various populations such as people with schizophrenia, autism, and clinical depression. This led to the establishment of the Human Brain Project.[10] It may also be crucial to understanding traumatic brain injuries (as in the case of Phineas Gage)[11] and improving brain injury treatment.[12]

Following a series of meetings, the International Consortium for Brain Mapping (ICBM) evolved.[13] The ultimate goal is to develop flexible computational brain atlases.

On May 5, 2010 the Supreme Court in India (Smt. Selvi vs. State of Karnataka) declared brain mapping, lie detector tests and narcoanalysis to be unconstitutional, violating Article 20 (3) of Fundamental Rights. These techniques cannot be conducted forcefully on any individual and requires consent for the same. When they are conducted with consent, the material so obtained is regarded as evidence during trial of cases according to Section 27 of the Evidence Act.[14]

Current Atlas tools

Full SBMT definition

Brain mapping is the study of the anatomy and function of the brain and spinal cord through the use of imaging (including intra-operative, microscopic, endoscopic and multi-modality imaging), immunohistochemistry, molecular & optogenetics, stem cell and cellular biology, engineering (material, electrical and biomedical), neurophysiology and nanotechnology.

See also

References

  1. ↑ Irimia, Andrei; Chambers, Micah C.; Torgerson, Carinna M.; Horn, John D. (2012). "Circular representation of human cortical networks for subject and population-level connectomic visualization". NeuroImage. 60 (2): 1340–51. doi:10.1016/j.neuroimage.2012.01.107. PMC 3594415Freely accessible. PMID 22305988.
  2. ↑ Sally Satel; Scott O. Lilienfeld (2015). Brainwashed: The Seductive Appeal of Mindless Neuroscience. Basic Books. ISBN 978-0465062911.
  3. ↑ Fischer, Victor H. (July 20, 1965). "Detecting Physiological Conditions By Measuring Bioelectric Output Frequency #3,195,533". United States Patent Office.
  4. ↑ Fischer, Victor H. (May 1962). "A New Window into the Human Brain?". Battelle Technical Review: 3–9.
  5. ↑ Fischer, Victor H. (June 23, 1962). "Is Nervous System Amplitude or Frequency Oriented?". The Journal of the American Medical Association: 30–31.
  6. ↑ Fischer, Victor H. (August 4, 2009). "Bilateral visual field maps in a patient with only one hemisphere". 106 (31). PNAS Organization: 13034–13039.
  7. ↑ http://www.pnas.org/content/suppl/2009/07/31/0809688106.DCSupplementa
  8. ↑ Fischer, Victor H. (January 1, 2013). Improving Your Thought Process. Amazon Digital Services, Inc. ASIN B00AW1RZ00.
  9. ↑ Pechura, Constance M.; Martin, Joseph B. (1991). Mapping the Brain and Its Functions: Integrating Enabling Technologies Into Neuroscience Research. Institute of Medicine (U.S.). Committee on a National Neural Circuitry Database.
  10. ↑ Koslow, Stephen H.; Huerta, Michael F. (1997). Neuroinformatics: An Overview of the Human Brain Project.
  11. ↑ Van Horn, John Darrell; Irimia, Andrei; Torgerson, Carinna M.; Chambers, Micah C.; Kikinis, Ron; Toga, Arthur W. (2012). Sporns, Olaf, ed. "Mapping Connectivity Damage in the Case of Phineas Gage". PLoS ONE. 7 (5): e37454. doi:10.1371/journal.pone.0037454. PMC 3353935Freely accessible. PMID 22616011.
  12. ↑ Irimia, Andrei; Chambers, Micah C.; Torgerson, Carinna M.; Filippou, Maria; Hovda, David A.; Alger, Jeffry R.; Gerig, Guido; Toga, Arthur W.; Vespa, Paul M.; Kikinis, Ron; Van Horn, John D. (2012). "Patient-Tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury". Frontiers in Neurology. 3. doi:10.3389/fneur.2012.00010. PMC 3275792Freely accessible. PMID 22363313.
  13. ↑ Toga, Arthur W.; Mazziotta, John C., eds. (2002). Brain Mapping: The Methods. ISBN 978-0-12-693019-1.
  14. ↑ Math, SB (2011). "Supreme Court judgment on polygraph, narco-analysis & brain-mapping: a boon or a bane". Indian J. Med. Res. 134: 4–7. PMC 3171915Freely accessible. PMID 21808125.
  15. ↑ Harvard Whole Brain Atlas
  16. ↑ Serag, Ahmed; Aljabar, Paul; Ball, Gareth; Counsell, Serena J.; Boardman, James P.; Rutherford, Mary A.; Edwards, A. David; Hajnal, Joseph V.; Rueckert, Daniel (2012). "Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression". NeuroImage. 59 (3): 2255–65. doi:10.1016/j.neuroimage.2011.09.062. PMID 21985910.

Further reading

External links

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