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 (PCC). Abstracts from PubMed are down-loaded, words extracted and converted to a bag-of-words matrix representation. The combined data are 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. (c) 2005 Elsevier Inc. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 520-532 |
| Number of pages | 13 |
| Journal | NeuroImage |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2005 |
Keywords
- meta-analysis
- PubMed
- positron emission tomography
- magnetic resonance imaging
- cingulate gyrus
- brain mapping
- memory
- pain
- Alzheimer's disease
- automatic data processing
- bibliometrics
- POSITRON-EMISSION-TOMOGRAPHY
- POSTTRAUMATIC-STRESS-DISORDER
- CEREBRAL-BLOOD-FLOW
- CHILDHOOD SEXUAL-ABUSE
- NONNEGATIVE MATRIX FACTORIZATION
- IRRITABLE-BOWEL-SYNDROME
- CONSCIOUS RESTING STATE
- EPISODIC MEMORY
- HUMAN BRAIN
- AUTOBIOGRAPHICAL MEMORY
