Literature DB >> 17878070

Self-paced frequency of a simple motor task and brain activation. An fMRI study in healthy subjects using an on-line monitor device.

Stefano Diciotti1, Cinzia Gavazzi, Riccardo Della Nave, Enrico Boni, Andrea Ginestroni, Lorenzo Paoli, Paolo Cecchi, Nicola De Stefano, Mario Mascalchi.   

Abstract

Application of fMRI to clinical neurology implies the selection of a simple task and control of the task performance. The capability to objectively monitor variables related to task execution is, therefore, important and could improve accuracy of clinical fMRI studies. We assessed the influence of different self-paced frequencies of a simple motor task on brain activation in healthy subjects. A device was developed to measure the force exerted by a subject in pressing an air-filled rubber bulb with the last four fingers of the dominant hand. The task frequency was determined by analysis of the force signal. Nine healthy subjects performed twice the task with self-paced slow (0.35+/-0.09 Hz), intermediate (0.58+/-0.21 Hz) or fast (0.98+/-0.32 Hz) frequency. The device revealed impaired task execution in 1 subject. The coefficient of variation of frequency was 8.7% for slow, 12.2% for intermediate and 15.8% for fast paced task. No significant differences were found comparing the activation maps obtained at slow, intermediate and fast frequencies in the contralateral sensorimotor cortex and ipsilateral cerebellum. Cluster reproducibility was good for location (standard deviation<or=7.3 mm), but poor for signal intensity (coefficient of variation 0-176.8%) and extent (coefficient of variation 1.9-140.6%). In conclusion, self-paced frequency variations of a simple motor task in the 0.2-2 Hz range are not a relevant source of the variability of the fMRI results in healthy subjects. Use of the device for evaluation of the neurologically impaired patients might broaden the clinical applications of fMRI.

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Year:  2007        PMID: 17878070     DOI: 10.1016/j.neuroimage.2007.07.045

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  8 in total

1.  Functional neuroimaging correlates of finger-tapping task variations: an ALE meta-analysis.

Authors:  Suzanne T Witt; Angela R Laird; M Elizabeth Meyerand
Journal:  Neuroimage       Date:  2008-04-16       Impact factor: 6.556

2.  Neurodegeneration in friedreich's ataxia is associated with a mixed activation pattern of the brain. A fMRI study.

Authors:  Andrea Ginestroni; Stefano Diciotti; Paolo Cecchi; Ilaria Pesaresi; Carlo Tessa; Marco Giannelli; Riccardo Della Nave; Elena Salvatore; Fabrizio Salvi; Maria Teresa Dotti; Silvia Piacentini; Andrea Soricelli; Mirco Cosottini; Nicola De Stefano; Mario Mascalchi
Journal:  Hum Brain Mapp       Date:  2011-06-14       Impact factor: 5.038

3.  The burden of microstructural damage modulates cortical activation in elderly subjects with MCI and leuko-araiosis. A DTI and fMRI study.

Authors:  Mario Mascalchi; Andrea Ginestroni; Nicola Toschi; Anna Poggesi; Paolo Cecchi; Emilia Salvadori; Carlo Tessa; Mirco Cosottini; Nicola De Stefano; Giovanni Pracucci; Leonardo Pantoni; Domenico Inzitari; Stefano Diciotti
Journal:  Hum Brain Mapp       Date:  2012-12-08       Impact factor: 5.038

4.  Men and women differ in the neural basis of handwriting.

Authors:  Yang Yang; Fred Tam; Simon J Graham; Guochen Sun; Junjun Li; Chanyuan Gu; Ran Tao; Nizhuan Wang; Hong-Yan Bi; Zhentao Zuo
Journal:  Hum Brain Mapp       Date:  2020-02-24       Impact factor: 5.038

5.  Pre-surgical fMRI Localization of the Hand Motor Cortex in Brain Tumors: Comparison Between Finger Tapping Task and a New Visual-Triggered Finger Movement Task.

Authors:  Marco Ciavarro; Eleonora Grande; Luigi Pavone; Giuseppina Bevacqua; Michelangelo De Angelis; Paolo di Russo; Roberta Morace; Giorgia Committeri; Giovanni Grillea; Marcello Bartolo; Sergio Paolini; Vincenzo Esposito
Journal:  Front Neurol       Date:  2021-05-14       Impact factor: 4.003

6.  Complexity of motor sequences and cortical reorganization in Parkinson's disease: a functional MRI study.

Authors:  Stefano Caproni; Marco Muti; Massimo Principi; Pierfausto Ottaviano; Domenico Frondizi; Giuseppe Capocchi; Piero Floridi; Aroldo Rossi; Paolo Calabresi; Nicola Tambasco
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

7.  Simultaneous measurements of kinematics and fMRI: compatibility assessment and case report on recovery evaluation of one stroke patient.

Authors:  Claudia Casellato; Simona Ferrante; Marta Gandolla; Nicola Volonterio; Giancarlo Ferrigno; Giuseppe Baselli; Tiziano Frattini; Alberto Martegani; Franco Molteni; Alessandra Pedrocchi
Journal:  J Neuroeng Rehabil       Date:  2010-09-23       Impact factor: 4.262

Review 8.  The Control of Movements via Motor Gamma Oscillations.

Authors:  José Luis Ulloa
Journal:  Front Hum Neurosci       Date:  2022-01-17       Impact factor: 3.169

  8 in total

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