title: Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI.
abstract: A sudden change in the direction of motion is a particularly salient and relevant feature of visual information. Extensive research has identified cortical areas responsive to visual motion and characterized their sensitivity to different features of motion, such as directional specificity. However, relatively little is known about responses to sudden changes in direction. Electrophysiological data from animals and functional imaging data from humans suggest a number of brain areas responsive to motion, presumably working as a network. Temporal patterns of activity allow the same network to process information in different ways. The present study in humans sought to determine which motion-sensitive areas are involved in processing changes in the direction of motion and to characterize the temporal patterns of processing within this network of brain regions. To accomplish this, we used both magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). The fMRI data were used as supplementary information in the localization of MEG sources. The change in the direction of visual motion was found to activate a number of areas, each displaying a different temporal behavior. The fMRI revealed motion-related activity in areas MT+ (the human homologue of monkey middle temporal area and possibly also other motion sensitive areas next to MT), a region near the posterior end of the superior temporal sulcus (pSTS), V3A, and V1/V2. The MEG data suggested additional frontal sources. An equivalent dipole model for the generators of MEG signals indicated activity in MT+, starting at 130 ms and peaking at 170 ms after the reversal of the direction of motion, and then again at approximately 260 ms. Frontal activity began 0-20 ms later than in MT+, and peaked approximately 180 ms. Both pSTS and FEF+ showed long-duration activity continuing over the latency range of 200-400 ms. MEG responses in the region of V3A and V1/V2 were relatively small, and peaked at longer latencies than the initial peak in MT+. These data revealed characteristic patterns of activity in this cortical network for processing sudden changes in the direction of visual motion.
authors.affiliation: Dynamic Brain Imaging Laboratory, Departments of Neurology and Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461, USA.
authors.forename: S P
authors.initials: SP
authors.lastname: Ahlfors
authors.forename: G V
authors.initials: GV
authors.lastname: Simpson
authors.forename: A M
authors.initials: AM
authors.lastname: Dale
authors.forename: J W
authors.initials: JW
authors.lastname: Belliveau
authors.forename: A K
authors.initials: AK
authors.lastname: Liu
authors.forename: A
authors.initials: A
authors.lastname: Korvenoja
authors.forename: J
authors.initials: J
authors.lastname: Virtanen
authors.forename: M
authors.initials: M
authors.lastname: Huotilainen
authors.forename: R B
authors.initials: RB
authors.lastname: Tootell
authors.forename: H J
authors.initials: HJ
authors.lastname: Aronen
authors.forename: R J
authors.initials: RJ
authors.lastname: Ilmoniemi
mesh_terms: D000328:Adult; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology*; D005074:Evoked Potentials, Visual; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015225:Magnetoencephalography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009039:Motion Perception / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology