Mining the posterior cingulate: Segregation between memory and pain components

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Mining the posterior cingulate: Segregation between memory and pain components. / Nielsen, Finn Årup; Balslev, Daniela; Hansen, Lars Kai.

In: NeuroImage, Vol. 27, No. 3, 2005, p. 520-532.

Research output: Contribution to journalJournal article – Annual report year: 2005Researchpeer-review

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@article{c5052ad6761848b691327b2704a7b0b7,
title = "Mining the posterior cingulate: Segregation between memory and pain components",
abstract = "We present a general method for automatic meta-analyses in neuroscience and apply it on text data from published functional imaging studies to extract main functions associated with a brain area --- the posterior cingulate cortex. Abstracts from PubMed are downloaded, words extracted and converted to a bag-of-words matrix representation. The combined data is analyzed with hierarchical non-negative matrix factorization. We find that the prominent themes in the PCC corpus are episodic memory retrieval and pain. We further characterize the distribution in PCC of the Talairach coordinates available in some of the articles. This shows a tendency to functional segregation between memory and pain components where memory activations are predominantly in the caudal part and pain in the rostral part of PCC.",
keywords = "text mining, magnetic resonance imaging, neuroimaging",
author = "Nielsen, {Finn {\AA}rup} and Daniela Balslev and Hansen, {Lars Kai}",
year = "2005",
doi = "10.1016/j.neuroimage.2005.04.034",
language = "English",
volume = "27",
pages = "520--532",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Elsevier B.V.",
number = "3",

}

RIS

TY - JOUR

T1 - Mining the posterior cingulate: Segregation between memory and pain components

AU - Nielsen, Finn Årup

AU - Balslev, Daniela

AU - Hansen, Lars Kai

PY - 2005

Y1 - 2005

N2 - We present a general method for automatic meta-analyses in neuroscience and apply it on text data from published functional imaging studies to extract main functions associated with a brain area --- the posterior cingulate cortex. Abstracts from PubMed are downloaded, words extracted and converted to a bag-of-words matrix representation. The combined data is analyzed with hierarchical non-negative matrix factorization. We find that the prominent themes in the PCC corpus are episodic memory retrieval and pain. We further characterize the distribution in PCC of the Talairach coordinates available in some of the articles. This shows a tendency to functional segregation between memory and pain components where memory activations are predominantly in the caudal part and pain in the rostral part of PCC.

AB - We present a general method for automatic meta-analyses in neuroscience and apply it on text data from published functional imaging studies to extract main functions associated with a brain area --- the posterior cingulate cortex. Abstracts from PubMed are downloaded, words extracted and converted to a bag-of-words matrix representation. The combined data is analyzed with hierarchical non-negative matrix factorization. We find that the prominent themes in the PCC corpus are episodic memory retrieval and pain. We further characterize the distribution in PCC of the Talairach coordinates available in some of the articles. This shows a tendency to functional segregation between memory and pain components where memory activations are predominantly in the caudal part and pain in the rostral part of PCC.

KW - text mining

KW - magnetic resonance imaging

KW - neuroimaging

U2 - 10.1016/j.neuroimage.2005.04.034

DO - 10.1016/j.neuroimage.2005.04.034

M3 - Journal article

VL - 27

SP - 520

EP - 532

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 3

ER -