schliessen

Filtern

 

Bibliotheken

Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI

The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been proposed as a tool to study brain dynamics with both high temporal and high spatial resolution. Multimodal imaging techniques rely on the assumption of a common neuronal source for the different... Full description

Journal Title: Magnetic Resonance Imaging 2010, Vol.28(8), pp.1104-1112
Main Author: De Martino, Federico
Other Authors: Valente, Giancarlo , de Borst, Aline W , Esposito, Fabrizio , Roebroeck, Alard , Goebel, Rainer , Formisano, Elia
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0730-725X ; E-ISSN: 1873-5894 ; DOI: 10.1016/j.mri.2009.12.026
Link: https://www.sciencedirect.com/science/article/pii/S0730725X0900318X
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: elsevier_sdoi_10_1016_j_mri_2009_12_026
title: Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI
format: Article
creator:
  • De Martino, Federico
  • Valente, Giancarlo
  • de Borst, Aline W
  • Esposito, Fabrizio
  • Roebroeck, Alard
  • Goebel, Rainer
  • Formisano, Elia
subjects:
  • Multimodal Imaging
  • Univariate and Multivariate Methods
  • EEG/Fmri
  • Medicine
ispartof: Magnetic Resonance Imaging, 2010, Vol.28(8), pp.1104-1112
description: The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been proposed as a tool to study brain dynamics with both high temporal and high spatial resolution. Multimodal imaging techniques rely on the assumption of a common neuronal source for the different recorded signals. In order to maximally exploit the combination of these techniques, one needs to understand the coupling (i.e., the relation) between electroencephalographic (EEG) and fMRI blood oxygen level-dependent (BOLD) signals. Recently, simultaneous EEG-fMRI measurements have been used to investigate the relation between the two signals. Previous attempts at the analysis of simultaneous EEG-fMRI data reported significant correlations between regional BOLD activations and modulation of both event-related potential (ERP) and oscillatory EEG power, mostly in the alpha but also in other frequency bands. Beyond the correlation of the two measured...
language: eng
source:
identifier: ISSN: 0730-725X ; E-ISSN: 1873-5894 ; DOI: 10.1016/j.mri.2009.12.026
fulltext: fulltext
issn:
  • 0730-725X
  • 0730725X
  • 1873-5894
  • 18735894
url: Link


@attributes
ID1545374708
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordiddoi_10_1016_j_mri_2009_12_026
sourceidelsevier_s
recordidTN_elsevier_sdoi_10_1016_j_mri_2009_12_026
sourcesystemPC
dbid
0--K
1--M
2.FO
3.~1
41B1
51P~
61RT
71~.
8457
94CK
104G.
117-5
128P~
139JM
149JN
15AABNK
16AAEDT
17AAKOC
18AAOAW
19AAQFI
20ABBQC
21ABGSF
22ABMZM
23ABYKQ
24ACDAQ
25ACFVG
26ACIUM
27ACRLP
28ADUVX
29AEHWI
30AEKER
31AEVXI
32AFKWA
33AFTJW
34AFXIZ
35AGHFR
36AGRDE
37AGUBO
38AGYEJ
39AHHHB
40AIKHN
41AITUG
42AIVDX
43AJBFU
44AJOXV
45AJRQY
46AJUYK
47AMFUW
48ANZVX
49BLXMC
50BNPGV
51DOVZS
52EO8
53EO9
54EP2
55EP3
56FDB
57FGOYB
58FIRID
59FNPLU
60G-Q
61GBLVA
62HEI
63HMK
64HMO
65J1W
66KOM
67LCYCR
68OAUVE
69OGIMB
70OI~
71OU0
72P-8
73P-9
74PC.
75Q38
76R2-
77RPZ
78SAE
79SCC
80SDF
81SDG
82SDP
83SEL
84SES
85SEW
86SPC
87SSH
88SSQ
89SSU
90SSZ
91T5K
92Z5R
93~G-
pqid954590000
galeid237622777
display
typearticle
titleMultimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI
creatorDe Martino, Federico ; Valente, Giancarlo ; de Borst, Aline W ; Esposito, Fabrizio ; Roebroeck, Alard ; Goebel, Rainer ; Formisano, Elia
ispartofMagnetic Resonance Imaging, 2010, Vol.28(8), pp.1104-1112
identifier
subjectMultimodal Imaging ; Univariate and Multivariate Methods ; EEG/Fmri ; Medicine
descriptionThe combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been proposed as a tool to study brain dynamics with both high temporal and high spatial resolution. Multimodal imaging techniques rely on the assumption of a common neuronal source for the different recorded signals. In order to maximally exploit the combination of these techniques, one needs to understand the coupling (i.e., the relation) between electroencephalographic (EEG) and fMRI blood oxygen level-dependent (BOLD) signals. Recently, simultaneous EEG-fMRI measurements have been used to investigate the relation between the two signals. Previous attempts at the analysis of simultaneous EEG-fMRI data reported significant correlations between regional BOLD activations and modulation of both event-related potential (ERP) and oscillatory EEG power, mostly in the alpha but also in other frequency bands. Beyond the correlation of the two measured...
languageeng
source
version6
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
backlink$$Uhttps://www.sciencedirect.com/science/article/pii/S0730725X0900318X$$EView_record_in_ScienceDirect_(Access_to_full_text_may_be_restricted)
search
creatorcontrib
0De Martino, Federico
1Valente, Giancarlo
2de Borst, Aline W
3Esposito, Fabrizio
4Roebroeck, Alard
5Goebel, Rainer
6Formisano, Elia
titleMultimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI
description

The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been proposed as a tool to study brain dynamics with both high temporal and high spatial resolution. Multimodal imaging techniques rely on the assumption of a common neuronal source for the different recorded signals. In order to maximally exploit the combination of these techniques, one needs to understand the coupling (i.e., the relation) between electroencephalographic (EEG) and fMRI blood oxygen level-dependent (BOLD) signals.

Recently, simultaneous EEG-fMRI measurements have been used to investigate the relation between the two signals. Previous attempts at the analysis of simultaneous EEG-fMRI data reported significant correlations between regional BOLD activations and modulation of both event-related potential (ERP) and oscillatory EEG power, mostly in the alpha but also in other frequency bands.

Beyond the correlation of the two measured...

subject
0Multimodal Imaging
1Univariate and Multivariate Methods
2EEG/Fmri
3Medicine
general
0English
1Elsevier Inc
210.1016/j.mri.2009.12.026
3ScienceDirect (Elsevier)
4ScienceDirect Journals (Elsevier)
sourceidelsevier_s
recordidelsevier_sdoi_10_1016_j_mri_2009_12_026
issn
00730-725X
10730725X
21873-5894
318735894
rsrctypearticle
creationdate2010
addtitleMagnetic Resonance Imaging
searchscope
0elsevier_full
1elsevier2
scope
0elsevier_full
1elsevier2
lsr44$$EView_record_in_ScienceDirect_(Access_to_full_text_may_be_restricted)
tmp01ScienceDirect Journals (Elsevier)
tmp02
0--K
1--M
2.FO
3.~1
41B1
51P~
61RT
71~.
8457
94CK
104G.
117-5
128P~
139JM
149JN
15AABNK
16AAEDT
17AAKOC
18AAOAW
19AAQFI
20ABBQC
21ABGSF
22ABMZM
23ABYKQ
24ACDAQ
25ACFVG
26ACIUM
27ACRLP
28ADUVX
29AEHWI
30AEKER
31AEVXI
32AFKWA
33AFTJW
34AFXIZ
35AGHFR
36AGRDE
37AGUBO
38AGYEJ
39AHHHB
40AIKHN
41AITUG
42AIVDX
43AJBFU
44AJOXV
45AJRQY
46AJUYK
47AMFUW
48ANZVX
49BLXMC
50BNPGV
51DOVZS
52EO8
53EO9
54EP2
55EP3
56FDB
57FGOYB
58FIRID
59FNPLU
60G-Q
61GBLVA
62HEI
63HMK
64HMO
65J1W
66KOM
67LCYCR
68OAUVE
69OGIMB
70OI~
71OU0
72P-8
73P-9
74PC.
75Q38
76R2-
77RPZ
78SAE
79SCC
80SDF
81SDG
82SDP
83SEL
84SES
85SEW
86SPC
87SSH
88SSQ
89SSU
90SSZ
91T5K
92Z5R
93~G-
startdate20100101
enddate20101231
lsr40Magnetic Resonance Imaging, 2010, Vol.28 (8), pp.1104-1112
doi10.1016/j.mri.2009.12.026
citationpf 1104 pt 1112 vol 28 issue 8
lsr30VSR-Enriched:[galeid, pqid]
sort
titleMultimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI
authorDe Martino, Federico ; Valente, Giancarlo ; de Borst, Aline W ; Esposito, Fabrizio ; Roebroeck, Alard ; Goebel, Rainer ; Formisano, Elia
creationdate20100000
lso0120100000
facets
frbrgroupid8161017493957407423
frbrtype5
newrecords20190904
languageeng
topic
0Multimodal Imaging
1Univariate and Multivariate Methods
2EEG/Fmri
3Medicine
collectionScienceDirect (Elsevier)
prefilterarticles
rsrctypearticles
creatorcontrib
0De Martino, Federico
1Valente, Giancarlo
2de Borst, Aline W
3Esposito, Fabrizio
4Roebroeck, Alard
5Goebel, Rainer
6Formisano, Elia
jtitleMagnetic Resonance Imaging
creationdate2010
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
aulast
0De Martino
1Valente
2de Borst
3Esposito
4Roebroeck
5Goebel
6Formisano
aufirst
0Federico
1Giancarlo
2Aline W
3Fabrizio
4Alard
5Rainer
6Elia
auinitF
auinit1F
au
0De Martino, Federico
1Valente, Giancarlo
2de Borst, Aline W
3Esposito, Fabrizio
4Roebroeck, Alard
5Goebel, Rainer
6Formisano, Elia
atitleMultimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI
jtitleMagnetic Resonance Imaging
date2010
risdate2010
volume28
issue8
spage1104
epage1112
pages1104-1112
issn0730-725X
eissn1873-5894
formatjournal
genrearticle
ristypeJOUR
abstract

The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been proposed as a tool to study brain dynamics with both high temporal and high spatial resolution. Multimodal imaging techniques rely on the assumption of a common neuronal source for the different recorded signals. In order to maximally exploit the combination of these techniques, one needs to understand the coupling (i.e., the relation) between electroencephalographic (EEG) and fMRI blood oxygen level-dependent (BOLD) signals.

Recently, simultaneous EEG-fMRI measurements have been used to investigate the relation between the two signals. Previous attempts at the analysis of simultaneous EEG-fMRI data reported significant correlations between regional BOLD activations and modulation of both event-related potential (ERP) and oscillatory EEG power, mostly in the alpha but also in other frequency bands.

Beyond the correlation of the two measured...

pubElsevier Inc
doi10.1016/j.mri.2009.12.026
lad01Magnetic Resonance Imaging