title: Resting state sensorimotor functional connectivity in multiple sclerosis inversely correlates with transcallosal motor pathway transverse diffusivity.
abstract: Recent studies indicate that functional connectivity using low-frequency BOLD fluctuations (LFBFs) is reduced between the bilateral primary sensorimotor regions in multiple sclerosis. In addition, it has been shown that pathway-dependent measures of the transverse diffusivity of water in white matter correlate with related clinical measures of functional deficit in multiple sclerosis. Taken together, these methods suggest that MRI methods can be used to probe both functional connectivity and anatomic connectivity in subjects with known white matter impairment. We report the results of a study comparing anatomic connectivity of the transcallosal motor pathway, as measured with diffusion tensor imaging (DTI) and functional connectivity of the bilateral primary sensorimotor cortices (SMC), as measured with LFBFs in the resting state. High angular resolution diffusion imaging was combined with functional MRI to define the transcallosal white matter pathway connecting the bilateral primary SMC. Maps were generated from the probabilistic tracking employed and these maps were used to calculate the mean pathway diffusion measures fractional anisotropy FA, mean diffusivity MD, longitudinal diffusivity lambda(1), and transverse diffusivity lambda(2). These were compared with LFBF-based functional connectivity measures (F(c)) obtained at rest in a cohort of 11 multiple sclerosis patients and approximately 10 age- and gender-matched control subjects. The correlation between FA and F(c) for MS patients was r = -0.63, P < 0.04. The correlation between all subjects lambda(2) and F(c) was r = 0.42, P < 0.05. The correlation between all subjects lambda(2) and F(c) was r = -0.50, P < 0.02. None of the control subject correlations were significant, nor were FA, lambda(1), or MD significantly correlated with F(c) for MS patients. This constitutes the first in vivo observation of a correlation between measures of anatomic connectivity and functional connectivity using spontaneous LFBFs.
authors.affiliation: Imaging Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA. mjlowe@sbcglobal.net
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Lowe
authors.forename: Erik B
authors.initials: EB
authors.lastname: Beall
authors.forename: Ken E
authors.initials: KE
authors.lastname: Sakaie
authors.forename: Katherine A
authors.initials: KA
authors.lastname: Koenig
authors.forename: Lael
authors.initials: L
authors.lastname: Stone
authors.forename: Ruth Ann
authors.initials: RA
authors.lastname: Marrie
authors.forename: Micheal D
authors.initials: MD
authors.lastname: Phillips
mesh_terms: D001931:Brain Mapping; D003337:Corpus Callosum / Q000503:physiopathology; D004525:Efferent Pathways / Q000503:physiopathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009044:Motor Cortex / Q000503:physiopathology*; D009103:Multiple Sclerosis / Q000503:physiopathology*