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I am a [[biophysicist]] focusing on the application of methods from [[physics]] to the study of [[evolution]], with a current emphasis on [[brain morphometry]]. My contributions to CZ will be centered around these topics, but below, I provide a broader list of topics to which I might add contents. If you are up to work on one of those, feel free to drop me a line to initiate joint action. In case you find no match, you may have more luck with the lists of [[List of music psychology topics|music psychology topics]], [[List of biology topics|biology topics]], [[CZ:Core Articles|core articles]], [[Special:Specialpages|special pages]], [[Special:Mostlinked|most linked pages]] or [[Special:Wantedpages|most wanted articles]]. More information about me can be found via my [http://dbm.neuro.uni-jena.de/ lab page], [http://dbm.neuro.uni-jena.de/people/daniel-mietchen/publications/ papers], [http://dbm.neuro.uni-jena.de/people/daniel-mietchen/cv/ CV], [http://ways.org/en/blog/daniel blog] and [http://www.tschiltan.de band].
{{AccountNotLive}}
[[Image:Magnetic resonance microscopy montage embryo fossil.png|right|150px]]
{{TOC|left}}
==Background==
I am a [[biophysicist]] focusing on the application of methods from [[physics]] to the study of [[morphology (biology)|biological structures]] and processes from a comparative [[evolution]]ary perspective, with a current emphasis on applications of [[brain morphometry]] (e.g. [[gyrification]] and [[cortical thickness]]) to the study of [[schizophrenia]].  


Other than that, I am actively involved in the emerging field of [[Science 2.0]], in which [[Web 2.0]] tools like [[wiki]]s or [[blog]]s are combined with the [[scientific method]], typically to make the [[:Image:Research cycle.png|research process]] or its results more widely and more rapidly [[open science|accessible]] as well as more [http://ways.org/en/blogs/2009/nov/29/what_if_science_were_sustainable sustainable]. I have a special interest in [http://www.science3point0.com/coaspedia/ integrating wikis with expert workflows] and [http://meta.wikimedia.org/wiki/Research_Committee vice] [[Open Knowledge Conference/Program/Collaborative Structuring of Knowledge by Experts and the Public|versa]]. I am an occasional contributor to [http://toolserver.org/~vvv/sulutil.php?user=Mietchen Wikipedias and related projects], particularly in areas or languages not covered here yet, as well as to [[Encyclopedia of Earth]], [[Scholarpedia]] and [[WikiEducator]]. More information about me can be found [http://www.google.com/profiles/daniel.mietchen here].


== Science in general ==
At Citizendium, I am the elected [[CZ:Managing Editor|Managing Editor]], tasked with deciding on matters for which no clear applicable policy exists. Thematically, my contributions focus on the above-mentioned topics (detailed listing [[User:Daniel Mietchen/Topics|here]]), and I also contribute to [[CZ:Eduzendium]] (e.g. [[CZ:Guidel 2008 summer course on Music and Brain|this summer school]]).
<div style="-moz-column-count:2; column-count:2;">
<br />
{{rpl|Applied cognitive science}}
{{rpl|Biolinguistics}}
{{rpl|Biology}}
{{rpl|Biomineralisation}}
{{rpl|Biomusicology}}
{{rpl|Biophysical economics}}
{{rpl|Biophysics}}
{{rpl|Brain evolution}}
{{rpl|Brain morphometry}}
{{rpl|Brain plasticity}}
{{rpl|Cold hardiness}}
{{rpl|Comparative physiology}}
{{rpl|Cryopreservation}}
{{rpl|Ethnomusicology}}
{{rpl|Evolution}}
{{rpl|Evolutionary medicine}}
{{rpl|Fossil|Fossils}}
{{rpl|Music perception}}
{{rpl|Music psychology}}
{{rpl|Neuroimaging}}
{{rpl|Open access}}
{{rpl|Origin of life}}
{{rpl|Physics}}
{{rpl|Schizophrenia}}
{{rpl|Shape description}}
{{rpl|Steady-state economy}}
{{rpl|Sustainability}}
{{rpl|Sustainable science}}
{{rpl|Vocal learning}}
</div>


== Biophysical methods ==
==Research areas==
<div style="-moz-column-count:2; column-count:2;">
{{ptcl-message}}
{{rpl|Computational Morphometry}}
{| class="wikitable" style="margin: 1em auto 1em auto; padding: 6px; background:#fafafa";align="left"
{{rpl|Confocal Laser Scanning Microscopy}}
|-
{{rpl|Dielectrophoresis}}
|{{ptcl|Brain morphometry}}
{{rpl|Electrorotation}}
|-
{{rpl|Functional magnetic resonance imaging|Functional Magnetic Resonance Imaging}}
|{{ptcl|Schizophrenia}}
{{rpl|Magnetic resonance imaging|Magnetic Resonance Imaging}}
|-
{{rpl|NMR spectroscopy|Magnetic Resonance Spectroscopy}}
|{{ptcl|Music perception}}
{{rpl|Optical Tweezers}}
|-
{{rpl|Patch clamp}}
|}
{{rpl|Scanning electron microscopy}}
{{rpl|Transmission electron microscopy}}
{{rpl|UV Laser ablation}}
</div>


==Research publications==
''For full publication list, go [http://publicationslist.org/daniel.mietchen here].''
*{{citation
| author = D. Mietchen; C. Gaser
| year = 2009
| title = Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution
| journal = Frontiers in Neuroinformatics
| volume = 3
| pages = 25
| doi = 10.3389/neuro.11.025.2009
| url = http://www.frontiersin.org/neuroinformatics/paper/10.3389/neuro.11/025.2009/
}}
:Drafted in part here at Citizendium's [[brain morphometry]] and [[gyrification]] articles.
*{{citation
| author = Mietchen, D., Manz, B., Volke, F., Storey, K. B.
| year = 2008
| title = In Vivo Assessment of Cold Adaptation in Insect Larvae by Magnetic resonance imaging and Magnetic Resonance Spectroscopy
| journal = PLoS ONE
| volume = 3
| pages = e3826
| doi = 10.1371/journal.pone.0003826
| url = http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0003826
}}
:{| class="navbox collapsible collapsed" style="text-align: left; border: 0px; padding: 0px;"
|-
! style="background-color: #f2dfce;" | Video supplement
|-
|{{#ev:vimeo|4964033|300}}
{{#ev:vimeo|4964093|300}}
{{#ev:vimeo|4964133|300}}
{{#ev:vimeo|4964219|300}}
{{#ev:vimeo|4964279|300}}
{{#ev:vimeo|4964330|300}}
{{#ev:vimeo|4964531|300}}
{{#ev:vimeo|4964391|300}}
{{#ev:vimeo|4964427|300}}
{{#ev:vimeo|4560767|300}}
{{#ev:vimeo|4560953|300}}
|}


== Species ==
*{{citation
<div style="-moz-column-count:2; column-count:2;">
| author = Mietchen, D.; Aberhan, M.; Manz, B.; Hampe, O.; Mohr, B.; Neumann, C.; Volke, F.
{{rpl|Attacus atlas}}
| year = 2008
{{rpl|Belemnitella sumensis}}
| title = Three-dimensional Magnetic resonance imaging of fossils across taxa
{{rpl|Belemnopsis sp.}}
| journal = Biogeosciences
{{rpl|Bombyx mori}}
| volume = 5
{{rpl|Chlamydomonas nivalis}}
| pages = 25–41
{{rpl|Elephas maximus}}
| url = http://direct.sref.org/1726-4189/bg/2008-5-25
{{rpl|Epiblema scudderiana}}
}}
{{rpl|Escherichia coli}}
:{| class="navbox collapsible collapsed" style="text-align: left; border: 0px; padding: 0px;"
{{rpl|Eurosta solidaginis}}
|-
{{rpl|Gonioteuthis quadrata}}
! style="background-color: #f2dfce;" | Video supplement
{{rpl|Human|Homo sapiens sapiens}}
|-
{{rpl|Hydrolagus colliei}}
|{{#ev:vimeo|5027279|300}}
{{rpl|Isselicrinus buchii}}
{{#ev:vimeo|5027286|300}}
{{rpl|Locusta migratoria}}
{{#ev:vimeo|5027287|300}}
{{rpl|Mus musculus}}
{{#ev:vimeo|5027288|300}}
{{rpl|Myrothamnus labellifolia}}
{{#ev:vimeo|5027290|300}}
{{rpl|Pararaucaria patagonica}}
|}
{{rpl|Phoca vitulina}}
{{rpl|Protopterus sp.}}
{{rpl|Rattus norvegicus}}
{{rpl|Saccharomyces cerevisiae}}
{{rpl|Samia cynthia}}
{{rpl|Xenopus laevis}}
</div>


*{{citation
| author = Koelsch, S.; Remppis, A.; Sammler, D.; Jentschke, S.; Mietchen, D.; Fritz, T.; Bonnemeier, H.; Siebel, W. A.
| year = 2007
| title = A cardiac signature of emotionality
| journal = European Journal of Neuroscience
| volume = 26
| issue = 11
| pages = 3328–3338
| doi = 10.1111/j.1460-9568.2007.05889.x
| url = http://www.blackwell-synergy.com/doi/abs/10.1111/j.1460-9568.2007.05889.x
}}
*{{citation
| author = Koelsch, S.; Jentschke, S.; Sammler, D.; Mietchen, D.
| year = 2007
| title = Untangling syntactic and sensory processing: an ERP study of music perception
| journal = Psychophysiology
| volume = 44
| issue = 3
| pages = 476–490
| doi = 10.1111/j.1469-8986.2007.00517.x
| url = http://www.blackwell-synergy.com/doi/abs/10.1111/j.1469-8986.2007.00517.x
}}
*{{citation
| author = Lee, S. C.; Mietchen, D.; Cho, J. H.; Kim, Y. S.; Kim, C.; Hong, K. S.; Lee, C.; Kang, D.; Lee, W.; Cheong, C.
| year = 2007
| title = In vivo magnetic resonance microscopy of differentiation in Xenopus laevis embryos from the first cleavage onwards
| journal = Differentiation
| volume = 75
| issue = 1
| pages = 84–92
| doi = 10.1111/j.1432-0436.2006.00114.x
| url = http://www.blackwell-synergy.com/doi/abs/10.1111/j.1432-0436.2006.00114.x?ai=z0
}}
:{| class="navbox collapsible collapsed" style="text-align: left; border: 0px; padding: 0px;"
|-
! style="background-color: #f2dfce;" | Video supplement
|-
|{{#ev:vimeo|4963736|300}}
{{#ev:vimeo|4963816|300}}
{{#ev:vimeo|4963838|300}}
{{#ev:vimeo|4963886|300}}
|}


== Places ==
*{{citation
<div style="-moz-column-count:2; column-count:2;">
| author = Lee, Seung-Cheol; Cho, Jee-Hyun; Mietchen, Daniel; Kim, Young-Sook; Hong, Kwan Soo; Lee, Chulhyun; Kang, Dongmin; Park, Ki Deok; Choi, Byong-Seok; Cheong, Chaejoon
{{rpl|Central Asia}}
| year = 2006
{{rpl|Central Europe}}
| title = Subcellular In Vivo 1H MR Spectroscopy of Xenopus laevis Oocytes
| journal = Biophysical Journal
| volume = 90
| issue = 5
| pages = 1797–1803
| doi = 10.1529/biophysj.105.073502
| url = http://www.biophysj.org/cgi/content/abstract/90/5/1797
| pmid = 16361348
}}
*{{citation
| author = Müller, W. E. G.; Kaluzhnaya, O. V.; Belikov, S. I.; Rothenberger, M.; Schröder, H. C.; Reiber, A.; Kaandorp, J. A.; Manz, B.; Mietchen, D.; Volke, F.
| year = 2006
| title = Magnetic resonance imaging of the siliceous skeleton of the demosponge Lubomirskia baicalensis
| journal = Journal of Structural Biology
| volume = 153
| issue = 1
| pages = 31–41
| doi = 10.1016/j.jsb.2005.09.008
| url = http://linkinghub.elsevier.com/retrieve/pii/S1047847705001942
}}
*{{citation
| author = Mietchen, D.; Keupp, H.; Manz, B.; Volke, F.
| journal = Biogeosciences
| title = Non-invasive diagnostics in fossils – Magnetic resonance imaging of pathological belemnites
| volume = 2
| pages = 133-140
| url = http://direct.sref.org/1726-4189/bg/2005-2-133
}}
:{| class="navbox collapsible collapsed" style="text-align: left; border: 0px; padding: 0px;"
|-
! style="background-color: #f2dfce;" | Video supplement
|-
|{{#ev:vimeo|5026838|300}}
{{#ev:vimeo|5026939|300}}
{{#ev:vimeo|5027060|300}}
{{#ev:vimeo|5027100|300}}
{{#ev:vimeo|5027102|300}}
|}


{{rpl|France}}
*{{citation
{{rpl|Germany}}
| author = Mietchen, D.; Jakobi, J. W.; Richter, H. P.
{{rpl|Japan}}
| year = 2005
{{rpl|Jordan}}
| title = Cortex reorganization of Xenopus laevis eggs in strong static magnetic fields
{{rpl|South Korea}}
| journal = Biomagn Res Technol
{{rpl|Tajikistan}}
| volume = 3
{{rpl|Usbekistan}}
| pages = 2
{{rpl|Yemen}}
| doi = 10.1186/1477-044X-3-2
</div>
| url = http://www.biomagres.com/content/3/1/2
}}
*{{citation
| author = Mietchen, Daniel; Schnelle, Thomas; Mülller, Torsten; Hagedorn, Rolf; Fuhr, Günter
| year = 2002
| title = Automated dielectric single cell spectroscopy - temperature dependence of electrorotation
| journal = Journal of Physics D: Applied Physics
| volume = 35
| issue = 11
| pages = 1258–1270
| doi = 10.1088/0022-3727/35/11/324
| url = http://www.iop.org/EJ/article/0022-3727/35/11/324/d21124.pdf
}}


==References==
{{reflist|2}}


<div style="-moz-column-count:2; column-count:2;">
{{DEFAULTSORT:Mietchen, Daniel}}
{{rpl|Berlin}}
{{rpl|Bochum}}
{{rpl|Daejeon}}
{{rpl|Dushanbe}}
{{rpl|Düsseldorf}}
{{rpl|Halle (Saale)}}
{{rpl|Jena}}
{{rpl|Leipzig}}
{{rpl|Paris}}
{{rpl|Petra}}
{{rpl|Prague}}
{{rpl|Samarkand}}
{{rpl|Sankt Ingbert}}
{{rpl|Saarbrücken}}
{{rpl|Sana'a}}
{{rpl|Sendai}}
{{rpl|Tashkent}}


{{Usertime-text|Daniel}}{{Template:Utc|+2}}
[[Category:CZ Authors]]
</div>
[[Category:Inactive CZ Editors]]
 
[[Category:Biology Authors]]
 
[[Category:Inactive Biology Editors]]   
== Languages ==
[[Category:Physics Authors]]  
<div style="-moz-column-count:2; column-count:2;">
[[Category:Inactive Physics Editors]]  
{{rpl|Czech language|Czech}}
[[Category:Psychology Authors]]  
{{rpl|Dutch language|Dutch}}
[[Category:Inactive Psychology Editors]]
{{rpl|English language|English}}
[[Category:CZ Charter Drafting Committee Members|Mietchen, Daniel]]
{{rpl|French language|French}}
[[Category:CZ Managing Editors]]
{{rpl|German language|German}}
[[Category:Eduzendium Educators]]
{{rpl|Korean language|Korean}}
{{rpl|Kyrgyz language|Kyrgyz}}
{{rpl|Japanese language|Japanese}}
{{rpl|Russian language|Russian}}
{{rpl|Tajik language|Tajik}}
{{rpl|Uzbek language|Uzbek}}
 
 
{{rpl|BASIC}}
{{rpl|C}}
{{rpl|C++}}
{{rpl|MATLAB}}
{{rpl|Pascal}}
{{rpl|Perl}}
</div>
 
 
== Music ==
<div style="-moz-column-count:2; column-count:2;">
{{rpl|Agbekor}}
{{rpl|Ancient Celtic music}}
{{rpl|Central Asian folk music}}
{{rpl|Folk music}}
{{rpl|Jaw harp}}
{{rpl|Khoomey}}
{{rpl|Lullaby|Lullabies}}
{{rpl|Raga}}
{{rpl|Shash maqom}}
</div>
 
== Biographies ==
<div style="-moz-column-count:2; column-count:2;">
{{rpl|Biography}}
{{rpl|Ari Babakhanov}}
{{rpl|Heinrich Barth}}
{{rpl|Korbinian Brodmann}}
{{rpl|Noam Chomsky}}
{{rpl|Marie Curie}}
{{rpl|Herman Daly}}
{{rpl|Charles Darwin}}
{{rpl|Albert Einstein}}
{{rpl|Richard R. Ernst}}
{{rpl|Georg Forster}}
{{rpl|Mahatma Gandhi}}
{{rpl|Georg Friedrich Händel}}
{{rpl|Konrad Lorenz}}
{{rpl|John Maynard Smith}}
{{rpl|Lynn Margulis}}
{{rpl|Thomas Mann}}
{{rpl|Ernst Mayr}}
{{rpl|Max Planck}}
{{rpl|Wilhelm Conrad Röntgen}}
{{rpl|Friedrich Schiller}}
{{rpl|Abel Tasman}}
{{rpl|Günter Tembrock}}
{{rpl|Rabindranath Tagore}}
{{rpl|D'Arcy Wentworth Thompson}}
{{rpl|Nikolaas Tinbergen}}
{{rpl|Johannes Diderik van der Waals}}
{{rpl|Rembrandt Harmenszoon van Rijn}}
{{rpl|Jan Vermeer van Delft}}
{{rpl|Joseph von Fraunhofer}}
{{rpl|Johann Wolfgang von Goethe}}
{{rpl|Alexander von Humboldt}}
</div>
 
 
[[Category:CZ Authors|Mietchen, Daniel]]
[[Category:CZ Editors|Mietchen, Daniel]]
[[Category:Biology Authors|Mietchen, Daniel]]
[[Category:Biology Editors|Mietchen, Daniel]]   
[[Category:Physics Authors|Mietchen, Daniel]]  
[[Category:Physics Editors|Mietchen, Daniel]]  
[[Category:Psychology Authors|Mietchen, Daniel]]  
[[Category:Psychology Editors|Mietchen, Daniel]]

Latest revision as of 04:54, 21 March 2024


The account of this former contributor was not re-activated after the server upgrade of March 2022.


Magnetic resonance microscopy montage embryo fossil.png

Background

I am a biophysicist focusing on the application of methods from physics to the study of biological structures and processes from a comparative evolutionary perspective, with a current emphasis on applications of brain morphometry (e.g. gyrification and cortical thickness) to the study of schizophrenia.

Other than that, I am actively involved in the emerging field of Science 2.0, in which Web 2.0 tools like wikis or blogs are combined with the scientific method, typically to make the research process or its results more widely and more rapidly accessible as well as more sustainable. I have a special interest in integrating wikis with expert workflows and vice versa. I am an occasional contributor to Wikipedias and related projects, particularly in areas or languages not covered here yet, as well as to Encyclopedia of Earth, Scholarpedia and WikiEducator. More information about me can be found here.

At Citizendium, I am the elected Managing Editor, tasked with deciding on matters for which no clear applicable policy exists. Thematically, my contributions focus on the above-mentioned topics (detailed listing here), and I also contribute to CZ:Eduzendium (e.g. this summer school).

Research areas

Text in this section is transcluded from the respective Citizendium entries and may change when these are edited.

Developing Article Brain morphometry: The quantitative study of structures in the brain, their differences between individuals, correlations with brain function, and changes of these characteristics over time. [e]
(CC) Image: Robert Dahnke
Surface-based brain morphometry.

Brain morphometry is a subfield of both morphometry and the brain sciences, concerned with the measurement of brain structures and changes thereof during development, aging, learning, disease and evolution. Since autopsy-like dissection is generally impossible on living brains, brain morphometry starts with noninvasive neuroimaging data, typically obtained from magnetic resonance imaging (or MRI for short). These data are born digital, which allows researchers to analyze the brain images further by using advanced mathematical and statistical methods such as shape quantification or multivariate analysis. This allows researchers to quantify anatomical features of the brain in terms of shape, mass, volume (e.g. of the hippocampus, or of the primary versus secondary visual cortex), and to derive more specific information, such as the encephalization quotient, grey matter density and white matter connectivity, gyrification, cortical thickness, or the amount of cerebrospinal fluid. These variables can then be mapped within the brain volume or on the cortical surface, providing a convenient way to assess their pattern and extent over time, across individuals or even between different biological species. The field is rapidly evolving along with neuroimaging techniques — which deliver the underlying data — but also develops in part independently from them, as part of the emerging field of neuroinformatics, which is concerned with developing and adapting algorithms to analyze those data. (Read more...)

Developing Article Schizophrenia: A mental disorder characterized by impaired perception of the individual's environment. [e]

Schizophrenia1 is a mental disorder characterized by patterns of disordered thought, language, motor, and social function. [1] Males typically develop symptoms in their late teens and early 20s, while females exhibit a later onset, usually in the mid-20s to early 30s. More variations in onset and symptomology may exist across gender, age, and culture, although these factors have not been clearly deliniated.

During the acute stage of schizophrenia, the primary symptom is a break from reality in which individuals experience thoughts, perceptions and beliefs that are considered strange and bizarre by the general population. Despite common and popular perception, the multiple personalities and dissociative characteristics associated with dissociative identity disorder are in no way related to schizophrenia, and the two are completely separate disorders. The specific cause of schizophrenia is largely unknown, although several neurotransmitters and brain structures are hypothesized to play a role in the disorder.


Descriptions of schizophrenia reach back into ancient times, although the word schizophrenia has only been recently used. In 1887, German psychiatrist Emil Kraepelin described the symptoms of schziophrenia as the single disorder dementia praecox. Even at that time, he showed considerable foresight by advancing the notion that the disorder was caused by organic pathology, which he predicted was damage or death of cells in the cerebral cortex. This prediction is supported as part of the cause, while more structural abnormalities are considered in the causes section. He was not, however, the first person to describe or classify schizophrenic behaviour, but he was the first to unify it into a broad, overarching colllection of signs and symptoms. Earlier in 1871, Ewald Hecker, another German psychiatrist, described hebephrenia, a classification that continues to this day as the disorganized schizophrenia subtype.[2] The 10th edition of the World Health Organization's International Classification of Disease continues with a hebephrenic schizophrenia subtype. Schizophrenia has existed as a diagnostic category in the Diagnostic and Statistical Manual since the first edition, although its description and presumed causes have changed over the years. The diagostic criteria is more narrow since the creation of similar and related disorders such as schizotypal personality disorder.

The word schizophrenia was introduced in 1908 by psychologist Eugen Bleuler in his work Dementia Praecox oder Gruppe der Schizophrenien (Dementia Praecox or the Group of Schizophrenias). He used the word schizophrenia to emphasize the split (schiz) of mental processes within the mind. (Read more...)

Developing Article Music perception: The study of the neural mechanisms involved in people perceiving rhythms, melodies, harmonies and other musical features. [e]
Processing a highly structured and complex pattern of sensory input as a unified percept of "music" is probably one of the most elaborate features of the human brain. In recent years, attempts have been made to investigate the neural substrates of music perception in the brain. Though progress has been made with the use of rather simplified musical stimuli, understanding how music is perceived and how it may elicit intense sensations is far from being understood.

Theoretical models of music perception are facing the big challenge to explain a vast variety of different aspects which are connected to music, ranging from temporal pattern analysis such as metre and rhythm analysis, over syntactic analysis, as for example processing of harmonic sequences, to more abstract concepts like semantics of music and interplay between listeners' expectations and suspense. It was tried to give some of these aspects a neural foundation which will be discussed below.

SoundEarSource separationPitchMetreRhythmLyricsMelodyHarmonyConsonance/DissonanceMusical syntaxMemoryEmotionMotor controlMeaning
A modular framework of music perception in the brain, after Koelsch et al. and Peretz et al.

Several authors have proposed a modular framework for music perception [3][4]. After Fodor, mental "modules" have to fulfil certain conditions, among the most important ones of which are the concepts of information encapsulation and domain-specificity. Information encapsulation means that a (neural) system is performing a specific information-processing task and is doing so independent of the activities of other modules. Domain-specificity means that the module is reacting only to specific aspects of a sensory modality. Fodor defines further conditions for a mental module like rapidity of operation, automaticity, neural specificity and innateness that have been debated with respect to the validity for music-processing modules.

However, there is evidence from various complementary approaches that music is processed independently from e.g. language and that there is not even a single module for music itself, but rather sub-systems for different relevant tasks. Evidence for spatial modularity comes mainly from brain lesion studies where patients show selective neurological impairments. Peretz and colleagues list several cases in a meta-study in which patients were not able to recognize musical tunes but were completely unaffected in recognizing spoken language[4]. Such "amusia" can be innate or acquired, for example after a stroke. On the other hand, there are cases of verbal agnosia where the patients can still recognize tunes and seem to have an unaffected sensation of music. Brain lesion studies also revealed selective impairments for more specialized tasks such as rhythm detection or harmonical judgements.

The idea of modularity has also been strongly supported by the use of modern brain-imaging techniques like PET and fMRI. In these studies, participants usually perform music-related tasks (detecting changes in rhythm or out-of-key notes). The obtained brain activations are then compared to a reference task, so one is able to detect brain regions which were especially active for a particular task. Using a similar paradigm, Platel and colleagues have found distinct brain regions for semantic, pitch, rhythm and timbre processing [5] .

To find out the dependencies between different neural modules, brain imaging techniques with a high temporal resolution are usually used. These are e.g. EEG and MEG which can reveal the delay between stimulus onset and the processing of specific features. These studies showed for example that pitch height is detected within 10-100 ms after stimulus onset, while irregularities in harmonic sequences elicit an enhanced brain response 200 ms after stimulus presentation[3]. Another method to investigate the information flow between the modules in the brain is TMS. In principle, also DTI or fMRI observations with causality analysis can reveal those interdependencies. (Read more...)

Research publications

For full publication list, go here.

Drafted in part here at Citizendium's brain morphometry and gyrification articles.

References

  1. American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Press: Washington DC
  2. Kruger S, Braunig P (2000). "Ewald Hecker, 1843-1909". Am J Psychiatry 157 (8): 1220. PMID 10910782[e]
  3. 3.0 3.1 Koelsch, S.; Siebel, W.A. (2005). "Towards a neural basis of music perception". Trends in Cognitive Sciences 9 (12): 578-584. DOI:10.1016/j.tics.2005.10.001. Research Blogging.
  4. 4.0 4.1 Peretz, I.; Coltheart, M. (2003). "Modularity of music processing.". Nat Neurosci 6 (7): 688-91. DOI:10.1038/nn1083. Research Blogging.
  5. Platel, H.; Price, C.; Baron, J.C.; Wise, R.; Lambert, J.; Frackowiak, R.S.; Lechevalier, B.; Eustache, F. (1997). "The structural components of music perception. A functional anatomical study". Brain 120 (2): 229-243. DOI:10.1093/brain/120.2.229. Research Blogging.