Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Altered Topological Properties of Brain Networks in the Early Ms Patients Revealed by Cognitive Task-Related Fmri and Graph Theory Publisher



Miri Ashtiani SN1 ; Daliri MR1 ; Behnam H1 ; Hosseinzadeh GA2, 3 ; Mehrpour M4 ; Motamed MR4 ; Fadaie F5
Authors
Show Affiliations
Authors Affiliations
  1. 1. Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
  2. 2. School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
  3. 3. Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University College of Engineering, University of Tehran, Tehran, Iran
  4. 4. Department of Neurology, Firoozgar Hospital, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Comprehensive Epilepsy Program, Pars Hospital, Tehran, Iran

Source: Biomedical Signal Processing and Control Published:2018


Abstract

Cognitive dysfunction or physical impairment is the result of structural lesions in the brains of patients with Multiple Sclerosis (MS), which could impress the brain functional connectivity. Cognitive deficits are frequently found in the early phases of MS disease. The changes in brain functional connectivity associated with cognitive tasks can be detected through blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI). In the present study, we evaluated a set of task-related fMRI data in combination with graph theory analysis. The modified Paced Auditory Serial Addition Task (PASAT) was presented to the subjects in an fMRI study in a 3.0 T MRI scanner. Graph theoretical methods allow us to model the brain networks for the identification of functional connectivity patterns in various conditions and to assess the topological properties of brain networks. The adjacency matrices constructed by proportional thresholding of the Pearson correlation-based connectivity networks were studied in patients with relapsing-remitting MS (RRMS) in the early stages and matched healthy controls (HC) through computing the different types of global and regional graph measures. We compared the extracted graph properties to investigate significant cognitive-related alterations in network characteristics between the early MS patients and the controls. We observed a link between functional modularity and clustering with cognition in task-based brain state. We also detected sets of informative brain areas involved in cognitive dysfunction that could distinguish MS patients from the healthy controls in most of local graph measures. It seems that the regions of superior temporo-polar gyrus, right putamen, fusiform gyrus, and some parts of limbic system such as hippocampus, parahippocampal gyri, and amygdala are the brain areas which are affected by cognitive impairment in early phases of MS disease. Our findings demonstrated the potential of applying graph analysis on task-related fMRI data to reflect the cognitive disorders in the early stages of MS. © 2017 Elsevier Ltd
Related Docs
View other Related Docs
1. Analysis of Brain Functional Connectivity Network in Ms Patients Constructed by Modular Structure of Sparse Weights From Cognitive Task-Related Fmri, Australasian Physical and Engineering Sciences in Medicine (2019)
2. Altered Effective Brain Network Topology in Tinnitus: An Eeg Source Connectivity Analysis, Biomedical Signal Processing and Control (2021)
3. Graph Theoretical Approach to Brain Remodeling in Multiple Sclerosis, Network Neuroscience (2023)
4. Neural Correlates of Visual Confrontation Naming in Persian-Speaking Individuals: An Fmri Study, Iranian Journal of Radiology (2017)
5. Exploring Neural Correlates of Different Dimensions in Drug Craving Self-Reports Among Heroin Dependents, Basic and Clinical Neuroscience (2015)
6. Relationship Between Cerebrospinal Fluid Biomarkers and Structural Brain Network Properties in Parkinson's Disease, Movement Disorders (2018)
7. Evolution of Graph Theory in Dynamic Functional Connectivity for Lateralization of Temporal Lobe Epilepsy, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS (2019)
8. Dynamic Functional Connectivity in Temporal Lobe Epilepsy: A Graph Theoretical and Machine Learning Approach, Neurological Sciences (2021)
Experts (# of related papers)
View all Related Experts
Seyed Amir Hossein Batouli (10)
Mohammad Ali Oghabian (8)
Other Related Docs
9. Classification Algorithms With Multi-Modal Data Fusion Could Accurately Distinguish Neuromyelitis Optica From Multiple Sclerosis, NeuroImage: Clinical (2015)
10. Symmetry Differences of Structural Connectivity in Multiple Sclerosis and Healthy State, Brain Research Bulletin (2023)
11. Classification of Early-Mci Patients From Healthy Controls Using Evolutionary Optimization of Graph Measures of Resting-State Fmri, for the Alzheimer’S Disease Neuroimaging Initiative, PLoS ONE (2022)
12. Overlapping But Language-Specific Mechanisms in Morphosyntactic Processing in Highly Competent L2 Acquired at School Entry: Fmri Evidence From an Alternating Language Switching Task, Frontiers in Human Neuroscience (2021)
13. Disrupted Resting-State Brain Functional Network in Methamphetamine Abusers: A Brain Source Space Study by Eeg, PLoS ONE (2019)
14. Analysis of Resting-State Fmri Topological Graph Theory Properties in Methamphetamine Drug Users Applying Box-Counting Fractal Dimension, Basic and Clinical Neuroscience (2017)
15. Investigating the Association Between the Gap-43 Concentration With Diffusion Tensor Imaging Indices in Alzheimer’S Dementia Continuum, BMC Neurology (2024)
16. Not Single Brain Areas But a Network Is Involved in Language: Applications in Presurgical Planning, Clinical Neurology and Neurosurgery (2018)
17. Diagnosis of Schizophrenia and Its Subtypes Using Mri and Machine Learning, Brain and Behavior (2025)
18. The Volumetric Changes of the Pineal Gland With Age: An Atlas-Based Structural Analysis, Experimental Aging Research (2022)
19. Research Paper: Effect of Physiological Noise on Thoracolumbar Spinal Cord Functional Magnetic Resonance Imaging in 3T Magnetic Field, Basic and Clinical Neuroscience (2020)
20. Association of Limb-Girdle Muscular Dystrophy With Multiple Sclerosis: A Case Report, Caspian Journal of Internal Medicine (2018)
21. Computer-Aided Classifying and Characterizing of Methamphetamine Use Disorder Using Resting-State Eeg, Cognitive Neurodynamics (2019)
22. The Effect of Groupness Constraint on the Sensitivity and Specificity of Canonical Correlation Analysis, a Multi-Modal Anatomical and Functional Mri Study, Biomedical Signal Processing and Control (2021)
23. Trail Gene Expression Analysis in Multiple Sclerosis Patients, Human Antibodies (2016)
24. Plasma Neurofilament Light Levels Correlate With White Matter Damage Prior to Alzheimer’S Disease: Results From Adni, Aging Clinical and Experimental Research (2022)
25. A New Application of Community Detection for Identifying the Real Specialty of Physicians, International Journal of Medical Informatics (2020)
26. Functional Brain Segregation Changes During Demanding Mathematical Task, International Journal of Neuroscience (2019)
27. Evaluating the Impact of White Matter Conductivity Anisotropy on Reconstructing Eeg Sources by Linearly Constrained Minimum Variance Beamformer, Advanced Biomedical Engineering (2020)
28. Some Points to Consider in a Task-Based Fmri Study: A Guideline for Beginners, Frontiers in Biomedical Technologies (2020)
29. The Neural Basis of Number and Person Phi-Features Processing: An Fmri Study in Highly Proficient Bilinguals, PS - Political Science and Politics (2023)
30. The Influence of Mental Fatigue on the Face and Word Encoding Activations, Clinical Neurology and Neurosurgery (2020)
31. Brain Analysis With a Complex Network Approach in Stroke Patients Based on Electroencephalography: A Systematic Review and Meta-Analysis, Healthcare (Switzerland) (2023)
32. Citizens of the World: National Stereotypes Do Not Affect Empathic Response in the Presence of Individuating Information, International Journal of Psychology (2022)
33. Classification of Drug-Naive Children With Attention-Deficit/Hyperactivity Disorder From Typical Development Controls Using Resting-State Fmri and Graph Theoretical Approach, Frontiers in Human Neuroscience (2022)
34. Locally Estimated Hemodynamic Response Function and Activation Detection Sensitivity in Heroin-Cue Reactivity Study, Basic and Clinical Neuroscience (2016)
35. T1 and T2 Weighted Lesions and Cognition in Multiple Sclerosis: A Systematic Review and Meta-Analysis, Journal of Clinical Neuroscience (2024)
36. Graph Theory Application With Functional Connectivity to Distinguish Left From Right Temporal Lobe Epilepsy, Epilepsy Research (2020)
37. Research Paper: Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods, Basic and Clinical Neuroscience (2017)
38. Neural Correlates of Audiotactile Phonetic Processing in Early-Blind Readers: An Fmri Study, Experimental Brain Research (2016)
39. Computer-Aided Tinnitus Detection Based on Brain Network Analysis of Eeg Functional Connectivity, Journal of Biomedical Physics and Engineering (2019)
40. Impact of Melatonin on Motor, Cognitive and Neuroimaging Indices in Patients With Multiple Sclerosis, Iranian Journal of Allergy# Asthma and Immunology (2015)
41. Analysis of Effective Connectivity Strength in Children With Attention Deficit Hyperactivity Disorder Using Phase Transfer Entropy, Iranian Journal of Psychiatry (2021)
42. The Neural Basis of Number and Person Phi-Features Processing: An Fmri Study in Highly Proficient Bilinguals, Bilingualism (2024)
43. A Novel Approach for Extracting Functional Brain Networks Involved in Mesial Temporal Lobe Epilepsy Based on Self Organizing Maps, Informatics in Medicine Unlocked (2022)
44. A New Linearly Constrained Minimum Variance Beamformer for Reconstructing Eeg Sparse Sources, International Journal of Imaging Systems and Technology (2019)
45. Impact of Vitamin a Supplementation on Disease Progression in Patients With Multiple Sclerosis, Archives of Iranian Medicine (2015)