Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations.
Diffusion tensor imaging (DTI) and resting state temporal correlations (RSTC) are two leading techniques for investigating the connectivity of the human brain. They have been widely used to investigate the strength of anatomical and functional connections between distant brain regions in healthy subjects, and in clinical populations. Though they are both based on magnetic resonance imaging (MRI) they have not yet been compared directly. In this work both techniques were employed to create global connectivity matrices covering the whole brain gray matter. This allowed for direct comparisons between functional connectivity measured by RSTC with anatomical connectivity quantified using DTI tractography. We found that connectivity matrices obtained using both techniques showed significant agreement. Connectivity maps created for a priori defined anatomical regions showed significant correlation, and furthermore agreement was especially high in regions showing strong overall connectivity, such as those belonging to the default mode network. Direct comparison between functional RSTC and anatomical DTI connectivity, presented here for the first time, links two powerful approaches for investigating brain connectivity and shows their strong agreement. It provides a crucial multi-modal validation for resting state correlations as representing neuronal connectivity. The combination of both techniques presented here allows for further combining them to provide richer representation of brain connectivity both in the healthy brain and in clinical conditions.
Skudlarski
Pawel
P
Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, 06106 CT, USA. pawel.skudlarski@yale.edu
Jagannathan
Kanchana
K
Calhoun
Vince D
VD
Hampson
Michelle
M
Skudlarska
Beata A
BA
Pearlson
Godfrey
G
D000328:Adult; D001921:Brain / Q000033:anatomy & histology*; D001931:Brain Mapping / Q000379:methods*; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009434:Neural Pathways / Q000033:anatomy & histology*
J Cereb Blood Flow Metab. 1997 Mar;17(3):301-8
9119903
Neuroimage. 2007 Aug 15;37(2):579-88
17604651
Neuroimage. 2006 Feb 15;29(4):1359-67
16260155
Biol Psychiatry. 2005 Dec 15;58(12):921-9
16043134
Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18760-5
18003904
Ment Retard Dev Disabil Res Rev. 2007;13(1):85-95
17326118
Neuroimage. 2003 Jul;19(3):1233-9
12880848
Radiology. 2007 Nov;245(2):367-84
17940300
Neurobiol Aging. 2005 Aug-Sep;26(8):1215-27
15917106
Radiology. 2002 Jul;224(1):184-92
12091681
Arch Gen Psychiatry. 1992 Aug;49(8):630-6
1637253
Neuroimage. 1999 Oct;10(4):385-96
10493897
Nat Rev Neurosci. 2007 Sep;8(9):700-11
17704812
Neuroimage. 2000 Nov;12(5):582-7
11034865
Neuroimage. 2007 Jan 15;34(2):827-38
17123836
Neuroreport. 2005 Feb 28;16(3):285-8
15706237
Am J Psychiatry. 2007 Mar;164(3):450-7
17329470
Neuron. 2003 Dec 4;40(5):885-95
14659088
Neuroimage. 2006 Jul 15;31(4):1536-48
16632379
Neuroimage. 2002 May;16(1):241-50
11969331
J Magn Reson Imaging. 2001 Apr;13(4):534-46
11276097
Schizophr Bull. 2007 Jul;33(4):1004-12
17556752
Hum Brain Mapp. 2005 Dec;26(4):231-9
15954139
Neuroimage. 2007 Nov 1;38(2):306-20
17869543
Proc Natl Acad Sci U S A. 2005 Jul 5;102(27):9673-8
15976020
Neuroreport. 2006 Jul 17;17(10):1033-6
16791098
Magn Reson Med. 1995 Oct;34(4):537-41
8524021
Neuroimage. 2003 Jul;19(3):545-54
12880786
Hum Brain Mapp. 2002 Apr;15(4):247-62
11835612
Neuroreport. 2004 Jun 7;15(8):1315-9
15167557
J Neurosci. 2006 Dec 20;26(51):13338-43
17182784
Proc Natl Acad Sci U S A. 2003 Jan 7;100(1):253-8
12506194
Proc Natl Acad Sci U S A. 2004 Mar 30;101(13):4637-42
15070770
Magn Reson Imaging. 2005 May;23(4):531-7
15919598
Neuroreport. 2006 Nov 6;17(16):1687-90
17047454
Biomed Eng Online. 2007 Nov 09;6:42
17996104
Neuron. 2007 Dec 6;56(5):924-35
18054866