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Published Online: 1 August 2017

Altered Brain Wiring in Parkinson's Disease: A Structural Connectome-Based Analysis

Publication: Brain Connectivity
Volume 7, Issue Number 6


Parkinson's disease (PD) is a neurodegenerative disorder that predominantly affects the motor system. Diffusion magnetic resonance imaging (MRI) has demonstrated deficits in anisotropy as well as increased diffusivity in the sub-cortical structures, primarily in the substantia nigra in PD. However, the clinical spectrum of PD is not limited to motor symptoms; rather, it encompasses several nonmotor symptoms such as depression, psychosis, olfactory dysfunction, and cognitive impairment. These nonmotor symptoms underscore PD as a complex neurological disorder arising from dysfunction of several network components. Therefore, to decipher the underlying neuropathology, it is crucial to employ novel network-based methods that can elucidate associations between specific network changes. This study aimed at assessing the large-scale structural network changes in PD. Structural connectomes were computed by using probabilistic fiber tracking on diffusion MRI between 86 regions of interest. Graph theoretic analysis on the connectome was carried out at several levels of granularity: global, local (nodal), lobar, and edge wise. Our findings demonstrate lower network clustering capability, overall lower neural connectivity, and significantly reduced nodal influence of the hippocampus in PD. In addition, extensive patterns of reduced connectivity were observed within and between the temporal, parietal, and occipital areas. In summary, our findings corroborate widespread structural disconnectivity that can be potentially linked to the nonmotor symptoms in PD.

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Published In

cover image Brain Connectivity
Brain Connectivity
Volume 7Issue Number 6August 2017
Pages: 347 - 356
PubMed: 28595456


Published in print: August 2017
Published online: 1 August 2017
Published ahead of production: 8 June 2017


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Apurva Shah
Department of Electronics and Telecommunications, Symbiosis Institute of Technology, Symbiosis International University, Pune, India.
Abhishek Lenka
Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Jitender Saini
Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Shivali Wagle
Department of Electronics and Telecommunications, Symbiosis Institute of Technology, Symbiosis International University, Pune, India.
Rajini M. Naduthota
Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Ravi Yadav
Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Pramod Kumar Pal
Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Madhura Ingalhalikar
Department of Electronics and Telecommunications, Symbiosis Institute of Technology, Symbiosis International University, Pune, India.


Address correspondence to:Madhura IngalhalikarSymbiosis Institute of TechnologySymbiosis International UniversityNear Lupin Research ParkGram Lavale, MulshiPune 412115India
E-mail: [email protected]

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No competing financial interests exist.

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