Literature DB >> 25484491

Electricity and Magnetism: Insights into the brain from multimodal imaging.

M S Cohen1.   

Abstract

The windows into brain function given us by the instruments of neuroimaging each are murky and their view is limited. Simultaneous collection of data from multiple modalities offers the potential to overcome the weaknesses of any tool alone. We argue that the combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) offers observations - and hypothesis testing - not possible using either single instrument. Because of their safety profiles and their non-invasive natures, EEG fMRI are among the best available devices for the study of human brain. These methods are complementary. EEG is fast, operating in a time domain comparable to single unit activity, but its localizing power is poor and the field of view is limited. While fMRI has the highest spatial resolution of any noninvasive imaging method and can reveal multiple centers of brain activity implicated in cognitive tasks, it is very slow compared to mental activity and is a poor choice for studying rapidly evolving processes. Here, we address theoretical models of the coupling between EEG and fMRI signals based on cellular physiology and energetics and argue that both tools observe principally synaptic activity. We discuss the technical problems of mutual interference then present several models of brain rhythms for which the joint EEG and fMRI observations provide significant evidence.

Entities:  

Year:  2009        PMID: 25484491      PMCID: PMC4255338          DOI: 10.1109/ACSSC.2009.5470165

Source DB:  PubMed          Journal:  IEEE Netw        ISSN: 0890-8044            Impact factor:   10.693


  12 in total

1.  Acquiring simultaneous EEG and functional MRI.

Authors:  R I Goldman; J M Stern; J Engel; M S Cohen
Journal:  Clin Neurophysiol       Date:  2000-11       Impact factor: 3.708

Review 2.  A proposed name for aperiodic brain activity: stochastic chaos.

Authors:  W J Freeman
Journal:  Neural Netw       Date:  2000-01

3.  Replacement of the axoplasm of giant nerve fibres with artificial solutions.

Authors:  P F BAKER; A L HODGKIN; T I SHAW
Journal:  J Physiol       Date:  1962-11       Impact factor: 5.182

4.  Quantitative analysis of cell types in mammalian neo-cortex.

Authors:  N L MITRA
Journal:  J Anat       Date:  1955-10       Impact factor: 2.610

5.  Simultaneous EEG and fMRI of the alpha rhythm.

Authors:  Robin I Goldman; John M Stern; Jerome Engel; Mark S Cohen
Journal:  Neuroreport       Date:  2002-12-20       Impact factor: 1.837

6.  Towards a microcoil for intracranial and intraductal MR microscopy.

Authors:  Debra S Strick; Ray L Nunnally; Jolinda C Smith; W Clark; Dixie J Mills; Mark S Cohen; Jack W Judy
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

7.  MASS ACTION IN CEREBRAL FUNCTION.

Authors:  K S Lashley
Journal:  Science       Date:  1931-03-06       Impact factor: 47.728

8.  Parametric analysis of fMRI data using linear systems methods.

Authors:  M S Cohen
Journal:  Neuroimage       Date:  1997-08       Impact factor: 6.556

9.  Relative contributions of intracortical and thalamo-cortical processes in the generation of alpha rhythms, revealed by partial coherence analysis.

Authors:  F H Lopes da Silva; J E Vos; J Mooibroek; A Van Rotterdam
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1980-12

Review 10.  A model for the coupling between cerebral blood flow and oxygen metabolism during neural stimulation.

Authors:  R B Buxton; L R Frank
Journal:  J Cereb Blood Flow Metab       Date:  1997-01       Impact factor: 6.200

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