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Paper   IPM / Cognitive / 14232
School of Cognitive Sciences
  Title:   Cognitive Functional Connectivity Analysis of Early MS Patients Using Graph Theory
1.  SN. Miri Ashtiani
2.  MR. Daliri
3.  H. Behnam
4.  GA. Hossein-Zadeh
5.  M. Mehrpour
  Status:   In Proceedings
  Proceeding: 4th basic and clinical neuroscience congress 2015
  Year:  2015
  Supported by:  IPM
Background and Aim : Alternations in connectivity are the result of specific of pathology of multiple sclerosis (MS) that can lead to physical and cognitive dysfunction. Cognitive impairments are frequent results in patients with MS that could be appeared in the earliest stage of the disease.The deficits in MS were reported in many various cognitive domains like working memory, attention, speed of information processing and executive functions. The aim of this study is assessment of connectivity differences in brain using functional magnetic resonance imaging (fMRI) data under the determined cognitive task between MS patients in the early stages and healthy controls. Methods : Paced Auditory Serial Addition Task (PASAT) in Persian version was administered to analyze the functional networks constructed using Graph theoretical and connectivity measure with linear correlation in patients with Clinically Isolated Syndrome (CIS) and Relapsing-Remitting MS (RRMS) and age-matched right-handed healthy subjects. During the task, a random series of single numbers was presented in an auditory way, and the subjects were required to add the two last numbers immediately and reported the result by pressing the response box keys in comparing with target number. After data collecting and preprocessing, the averaged fMRI time series were extracted for 116 nodes that selected based on AAL (automatic Anatomical Labeling) atlas. The correlation matrices of between each two time series were computed. Then the resultant correlation matrices are thresholded to yield the binary matrices by windows thresholding method. The most commonly network parameters were calculated and compared to differentiation. Results : Graph analysis suggests that some measures such as modularity could be consider as a reliable indicator related to cognitive deficits in earliest stage of MS patients. These results show how cognitive functional connectivity can globally effect by structural damage. Conclusion : Since neural disconnections in MS seem to result in cognitive decline, we expect significant differences in the network features that can possibly help to further understanding about early cognitive disorders during disease progression.

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