Significance of Source Reconstruction in ADHD using Connectivity Parcellation Matrix

Pooja, P and Karunakar, A K and Anitha, H and Vikas, R B (2017) Significance of Source Reconstruction in ADHD using Connectivity Parcellation Matrix. In: International Conference on recent Trends in Electrical science and Medical Engineering, 08/08/2017, MIT Manipal.

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Interchannel relationships of resting-state brain activity in patients with attention-deficit/hyperactivity disorder (ADHD) is one of the most common mental disorders that develop in children. ADHD patients of age ranging from 8-12 years were considered in this study. Brain physiological signals were recorded by Magnetoencephalography (MEG) using whole-head magnetometer. Functional connectivity is assessed by measuring the coherence, phase-locking value, and Euclidean distance for every pair of MEG sensor data. Connectivity is optimized by performing parcellation of dipoles. A parcellated connectivity matrix, we combine the connectivity values between sets of dipole pairs that belong to a given pair of parcels. Parcellated matrix is used to reconstruct the source and project it on the head model. This work results in showing the interactions among MEG channels that are higher for ADHD patients than for control subjects in all frequency bands. Our results support the role of frontal abnormalities in ADHD pathophysiology, which may reflect a delay in cortical maturation in the frontal cortex

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ADHD, Beamforming Technique, Coherence, Connectivity, Magnetoencephalography, Phase Locking Value
Subjects: Engineering > MIT Manipal > Electronics and Communication
Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 13 Dec 2017 10:18
Last Modified: 13 Dec 2017 10:18

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