BACKGROUND AND PURPOSE: With functional connectivity functional MR imaging, co-variance in signal intensity has been shown in functionally related regions of brain in participants instructed to perform no cognitive task. These changes are thought to represent synchronous fluctuations in blood flow, which imply neuronal connections between the regions. The purpose of this study was to map functional connectivity in subcortical nuclei with functional connectivity functional MR imaging. METHODS: Imaging data were acquired with an echo-planar sequence from six volunteers who performed no specific cognitive task. For functional connectivity functional MR imaging, a "seed" voxel or group of voxels was selected from the resting data set in the thalamus or in the hippocampus. Control voxels in gray matter presumed not to be eloquent cortex were also chosen. The correlation coefficient of the seed voxels and the control voxels with every other voxel in the resting data set was calculated. The voxels with correlation coefficients greater than or equal to 0.5 were mapped onto anatomic images for the functional connectivity functional MR images. The anatomic location of these voxels was determined by conventional parcellation methods. RESULTS: For each participant, functional connectivity functional MR imaging maps based on four seed voxels in the thalamus or hippocampus showed clusters of voxels in the ipsilateral and contralateral thalamus or hippocampus. For control voxels, few voxels in the hippocampus or thalamus showed significant correlation. Significantly more pixels in the ipsilateral hippocampus correlated with the seed voxel than in the contralateral hippocampus. The differences between numbers of functionally connected voxels in ipsilateral thalamus and those in contralateral thalamus were not significant. CONCLUSIONS: The thalamus and hippocampus show functional connectivity, presumably representing synchronous changes in blood flow.
BACKGROUND AND PURPOSE: With functional connectivity functional MR imaging, co-variance in signal intensity has been shown in functionally related regions of brain in participants instructed to perform no cognitive task. These changes are thought to represent synchronous fluctuations in blood flow, which imply neuronal connections between the regions. The purpose of this study was to map functional connectivity in subcortical nuclei with functional connectivity functional MR imaging. METHODS: Imaging data were acquired with an echo-planar sequence from six volunteers who performed no specific cognitive task. For functional connectivity functional MR imaging, a "seed" voxel or group of voxels was selected from the resting data set in the thalamus or in the hippocampus. Control voxels in gray matter presumed not to be eloquent cortex were also chosen. The correlation coefficient of the seed voxels and the control voxels with every other voxel in the resting data set was calculated. The voxels with correlation coefficients greater than or equal to 0.5 were mapped onto anatomic images for the functional connectivity functional MR images. The anatomic location of these voxels was determined by conventional parcellation methods. RESULTS: For each participant, functional connectivity functional MR imaging maps based on four seed voxels in the thalamus or hippocampus showed clusters of voxels in the ipsilateral and contralateral thalamus or hippocampus. For control voxels, few voxels in the hippocampus or thalamus showed significant correlation. Significantly more pixels in the ipsilateral hippocampus correlated with the seed voxel than in the contralateral hippocampus. The differences between numbers of functionally connected voxels in ipsilateral thalamus and those in contralateral thalamus were not significant. CONCLUSIONS: The thalamus and hippocampus show functional connectivity, presumably representing synchronous changes in blood flow.
Authors: D Cordes; V M Haughton; K Arfanakis; G J Wendt; P A Turski; C H Moritz; M A Quigley; M E Meyerand Journal: AJNR Am J Neuroradiol Date: 2000-10 Impact factor: 3.825
Authors: D F Sobel; C C Gallen; B J Schwartz; T A Waltz; B Copeland; S Yamada; E C Hirschkoff; F E Bloom Journal: AJNR Am J Neuroradiol Date: 1993 Jul-Aug Impact factor: 3.825
Authors: Michelle Hampson; Bradley S Peterson; Pawel Skudlarski; James C Gatenby; John C Gore Journal: Hum Brain Mapp Date: 2002-04 Impact factor: 5.038
Authors: Michelle Quigley; Dietmar Cordes; Pat Turski; Chad Moritz; Victor Haughton; Raj Seth; M Elizabeth Meyerand Journal: AJNR Am J Neuroradiol Date: 2003-02 Impact factor: 3.825
Authors: Ricardo Magalhães; Ashley Novais; David A Barrière; Paulo Marques; Fernanda Marques; João C Sousa; João J Cerqueira; Arnaud Cachia; Therese M Jay; Michel Bottlaender; Nuno Sousa; Sébastien Mériaux; Fawzi Boumezbeur Journal: J Neurosci Date: 2019-02-25 Impact factor: 6.167