title: Connectivity alterations assessed by combining fMRI and MR-compatible hand robots in chronic stroke.
abstract: The aim of this study was to investigate functional reorganization of motor systems by probing connectivity between motor related areas in chronic stroke patients using functional magnetic resonance imaging (fMRI) in conjunction with a novel MR-compatible hand-induced, robotic device (MR_CHIROD). We evaluated data sets obtained from healthy volunteers and right-hand-dominant patients with first-ever left-sided stroke > or =6 months prior and mild to moderate hemiparesis affecting the right hand. We acquired T1-weighted echo planar and fluid attenuation inversion recovery MR images and multi-level fMRI data using parallel imaging by means of the GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) algorithm on a 3 T MR system. Participants underwent fMRI while performing a motor task with the MR_CHIROD in the MR scanner. Changes in effective connectivity among a network of primary motor cortex (M1), supplementary motor area (SMA) and cerebellum (Ce) were assessed using dynamic causal modeling. Relative to healthy controls, stroke patients exhibited decreased intrinsic neural coupling between M1 and Ce, which was consistent with a dysfunctional M1 to Ce connection. Stroke patients also showed increased SMA to M1 and SMA to cerebellum coupling, suggesting that changes in SMA and Ce connectivity may occur to compensate for a dysfunctional M1. The results demonstrate for the first time that connectivity alterations between motor areas may help counterbalance a functionally abnormal M1 in chronic stroke patients. Assessing changes in connectivity by means of fMRI and MR_CHIROD might be used in the future to further elucidate the neural network plasticity that underlies functional recovery in chronic stroke patients.
authors.affiliation: NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital and Shriner's Burn Institute, Harvard Medical School, Boston, MA 02114, USA.
authors.forename: Dionyssios
authors.initials: D
authors.lastname: Mintzopoulos
authors.forename: Loukas G
authors.initials: LG
authors.lastname: Astrakas
authors.forename: Azadeh
authors.initials: A
authors.lastname: Khanicheh
authors.forename: Angelos A
authors.initials: AA
authors.lastname: Konstas
authors.forename: Aneesh
authors.initials: A
authors.lastname: Singhal
authors.forename: Michael A
authors.initials: MA
authors.lastname: Moskowitz
authors.forename: Bruce R
authors.initials: BR
authors.lastname: Rosen
authors.forename: A Aria
authors.initials: AA
authors.lastname: Tzika
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D001921:Brain / Q000503:physiopathology*; D002531:Cerebellum / Q000503:physiopathology; D005625:Frontal Lobe / Q000503:physiopathology; D006225:Hand; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008959:Models, Neurological; D009043:Motor Activity / Q000502:physiology*; D009044:Motor Cortex / Q000503:physiopathology; D009434:Neural Pathways / Q000503:physiopathology; D009473:Neuronal Plasticity; D012371:Robotics; D020521:Stroke / Q000503:physiopathology*