Literature DB >> 8786445

Complexity affects regional cerebral blood flow change during sequential finger movements.

N Sadato1, G Campbell, V Ibáñez, M Deiber, M Hallett.   

Abstract

Brain regions activated with complex sequential finger movements were localized by measuring regional cerebral blood flow (rCBF) with positron emission tomography. Whereas the total number and frequency of finger movements were kept constant, the complexity of auditory cued sequential finger movements of the right hand varied, with sequence length as the independent variable. In four conditions of differing complexity, the bilateral primary sensorimotor area, left ventral premotor cortex, posterior supplementary motor area, right superior part of the cerebellum, and left putamen were consistently and equally activated. This finding suggests an executive role in running sequences, regardless of their length. The right dorsal premotor cortex (Brodmann area 6) and the right precuneus (Brodmann area 7) showed a linear increase of rCBF as sequence complexity increased. This finding is consistent with the hypothesis that these areas function in the storage of motor sequences in spatial working memory and the production of ongoing sequential movement with reference to that of buffered memory. A similar increase in the cerebellar vermis and the left thalamus likewise suggests a role of these subcortical structures in complexity of sequential finger movements. Conversely, the left inferior parietal lobule showed a decrease of rCBF as complexity increased. Because short-term phonological storage is localized to this area, we suggest that the visuospatial working memory system may suppress other systems not in use. Our findings suggest that complex sequential finger movements recruit a discrete set of brain areas, in addition to areas underlying the execution of simple movement sequences.

Entities:  

Mesh:

Year:  1996        PMID: 8786445      PMCID: PMC6578781     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  65 in total

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Journal:  Hum Brain Mapp       Date:  2001-01       Impact factor: 5.038

2.  Functional anatomy of execution, mental simulation, observation, and verb generation of actions: a meta-analysis.

Authors:  J Grèzes; J Decety
Journal:  Hum Brain Mapp       Date:  2001-01       Impact factor: 5.038

3.  Chunking during human visuomotor sequence learning.

Authors:  Katsuyuki Sakai; Katsuya Kitaguchi; Okihide Hikosaka
Journal:  Exp Brain Res       Date:  2003-07-18       Impact factor: 1.972

4.  Modulation of cerebellar activation by predictive and non-predictive sequential finger movements.

Authors:  Matthias F Nitschke; Gregor Stavrou; Uwe H Melchert; Christian Erdmann; Dirk Petersen; Karl Wessel; Wolfgang Heide
Journal:  Cerebellum       Date:  2003       Impact factor: 3.847

5.  Reduced recruitment of motor association areas during bimanual coordination in concert pianists.

Authors:  Bernhard Haslinger; Peter Erhard; Eckart Altenmüller; Andreas Hennenlotter; Markus Schwaiger; Helga Gräfin von Einsiedel; Ernst Rummeny; Bastian Conrad; Andrés O Ceballos-Baumann
Journal:  Hum Brain Mapp       Date:  2004-07       Impact factor: 5.038

6.  Temporal dynamics of ipsilateral and contralateral motor activity during voluntary finger movement.

Authors:  Ming-Xiong Huang; Deborah L Harrington; Kim M Paulson; Michael P Weisend; Roland R Lee
Journal:  Hum Brain Mapp       Date:  2004-09       Impact factor: 5.038

7.  The effect of tapping finger and mode differences on cortical and subcortical activities: a PET study.

Authors:  Tomoko Aoki; Hayato Tsuda; Masashi Takasawa; Yasuhiro Osaki; Naohiko Oku; Jun Hatazawa; Hiroshi Kinoshita
Journal:  Exp Brain Res       Date:  2004-09-11       Impact factor: 1.972

8.  Prolonged rock climbing activity induces structural changes in cerebellum and parietal lobe.

Authors:  Margherita Di Paola; Carlo Caltagirone; Laura Petrosini
Journal:  Hum Brain Mapp       Date:  2012-04-21       Impact factor: 5.038

9.  Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty.

Authors:  Simon B Eickhoff; Angela R Laird; Christian Grefkes; Ling E Wang; Karl Zilles; Peter T Fox
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

10.  Preoperative motor system brain mapping using positron emission tomography and statistical parametric mapping: hints on cortical reorganisation.

Authors:  P T Meyer; L Sturz; O Sabri; M Schreckenberger; U Spetzger; K S Setani; H-J Kaiser; U Buell
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-04       Impact factor: 10.154

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