Journal Article FZJ-2014-04904

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Common molecular basis of the sentence comprehension network revealed by neurotransmitter receptor fingerprints

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2015
Elsevier Masson Paris

Cortex 63, 79-89 () [10.1016/j.cortex.2014.07.007]

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Abstract: The language network is a well-defined large-scale neural network of anatomically and functionally interacting cortical areas. The successful language process requires the transmission of information between these areas. Since neurotransmitter receptors are key molecules of information processing, we hypothesized that cortical areas which are part of the same functional language network may show highly similar multireceptor expression pattern (“receptor fingerprint”), whereas those that are not part of this network should have different fingerprints. Here we demonstrate that the relation between the densities of 15 different excitatory, inhibitory and modulatory receptors in eight language-related areas are highly similar and differ considerably from those of 18 other brain regions not directly involved in language processing. Thus, the fingerprints of all cortical areas underlying a large-scale cognitive domain such as language is a characteristic, functionally relevant feature of this network and an important prerequisite for the underlying neuronal processes of language functions.

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Note: Open Access funded by European Research Council

Contributing Institute(s):
  1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
Research Program(s):
  1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
  2. HBP - The Human Brain Project (604102) (604102)
  3. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)

Appears in the scientific report 2015
Database coverage:
Medline ; OpenAccess ; BIOSIS Previews ; Current Contents - Life Sciences ; JCR ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2014-09-11, last modified 2021-01-29


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