Group independent component analysis reveals consistent resting-state networks across multiple sessions.
Group independent component analysis (gICA) was performed on resting-state data from 14 healthy subjects scanned on 5 fMRI scan sessions across 16 days. The data were reduced and aggregated in 3 steps using Principal Components Analysis (PCA, within scan, within session and across session) and subjected to gICA procedures. The amount of reduction was estimated by an improved method that utilizes a first-order autoregressive fitting technique to the PCA spectrum. Analyses were performed using all sessions in order to maximize sensitivity and alleviate the problem of component identification across session. Across-session consistency was examined by three methods, all using back-reconstruction of the single-session or single-subject/session maps from the grand (5-session) maps. The gICA analysis produced 55 spatially independent maps. Obvious artifactual maps were eliminated and the remainder were grouped based upon physiological recognizability. Biologically relevant component maps were found, including sensory, motor and a 'default-mode' map. All analysis methods showed that components were remarkably consistent across session. Critically, the components with the most obvious physiological relevance were the most consistent. The consistency of these maps suggests that, at least over a period of several weeks, these networks would be useful to follow longitudinal treatment-related manipulations.
Chen
Sharon
S
Neuroimaging Research Branch, National Institute on Drug Abuse, NIH, 251 Bayview Boulevard, Suite 200, Baltimore, MD 21224, USA.
Ross
Thomas J
TJ
Zhan
Wang
W
Myers
Carol S
CS
Chuang
Keh-Shih
KS
Heishman
Stephen J
SJ
Stein
Elliot A
EA
Yang
Yihong
Y
D000328:Adult; D000704:Analysis of Variance; D001921:Brain / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D015233:Models, Statistical; D009434:Neural Pathways / Q000502:physiology; D025341:Principal Component Analysis; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors
Hum Brain Mapp. 2005 Jan;24(1):59-68
15382248
J Comp Neurol. 2005 Dec 5;493(1):167-76
16254998
Proc Natl Acad Sci U S A. 2001 Jan 16;98(2):676-82
11209064
Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):1001-13
16087444
Neuroimage. 1998 Feb;7(2):119-32
9558644
Nat Rev Neurosci. 2006 May;7(5):367-79
16760917
Proc Natl Acad Sci U S A. 2003 Jan 7;100(1):253-8
12506194
AJNR Am J Neuroradiol. 2000 Oct;21(9):1636-44
11039342
Neuroimage. 2006 Feb 1;29(3):1000-6
16139527
Ann Neurol. 2006 Feb;59(2):335-43
16404743
Neurosci Lett. 2005 Jul 22-29;383(1-2):1-6
15936503
J Cereb Blood Flow Metab. 2001 May;21(5):592-607
11333370
Neural Comput. 1995 Nov;7(6):1129-59
7584893
Hum Brain Mapp. 1998;6(3):160-88
9673671
J Cogn Neurosci. 2006 Aug;18(8):1331-42
16859418
Neuroreport. 2006 Feb 6;17(2):209-13
16407773
Trends Neurosci. 2004 Aug;27(8):489-95
15271497
Magn Reson Imaging. 1998;16(2):105-13
9508267
Radiology. 2004 Dec;233(3):868-77
15498902
Nat Rev Neurosci. 2001 Oct;2(10):685-94
11584306
Radiology. 2002 Oct;225(1):253-9
12355013
Neuroimage. 2000 Jun;11(6 Pt 1):708-34
10860798
Ann N Y Acad Sci. 2008;1129:119-29
18591474
Magn Reson Imaging. 2006 Oct;24(8):979-92
16997067
Proc Natl Acad Sci U S A. 2005 Jul 5;102(27):9673-8
15976020
Proc Natl Acad Sci U S A. 2006 Sep 12;103(37):13848-53
16945915
Magn Reson Med. 1995 Oct;34(4):537-41
8524021
Magn Reson Imaging. 2004 Nov;22(9):1181-91
15607089
Comput Biomed Res. 1996 Jun;29(3):162-73
8812068
Neuropsychopharmacology. 2005 Jul;30(7):1334-44
15856081
J Magn Reson Imaging. 2004 Mar;19(3):365-8
14994306
Hum Brain Mapp. 1999;8(2-3):151-6
10524607
J Cogn Neurosci. 2003 Apr 1;15(3):394-408
12729491
Hum Brain Mapp. 2004 Jul;22(3):165-78
15195284
Proc Natl Acad Sci U S A. 1998 Jan 6;95(1):316-21
9419373
Hum Brain Mapp. 2005 Mar;24(3):248-57
15654698
Hum Brain Mapp. 2001 Nov;14(3):140-51
11559959
IEEE Trans Neural Netw. 1999;10(3):626-34
18252563
Neuroimage. 2004 Mar;21(3):1000-8
15006667
Neuroimage. 2006 Jan 1;29(1):145-54
16202626
Neuroimage. 1999 Apr;9(4):407-15
10191169