An Interactive Hippocampus-Parahippocampus Functional 3D Connectivity Modeling with Quadratic Detrending

The Medial temporal lobe (MTL) plays a major role in orientation of cognitive and emotional ecstasies of long term memories in human brain. The semantic and episodic memory formulated in MTL with hippocampus and associated subfield parahippocampus, perirhinal and entorhinal neocortical subfields. Th...

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Bibliographic Details
Published in2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) pp. 1 - 7
Main Authors Ghosh, Sukanta, Chandra, Abhijit, Mudi, Rajanikanta
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.07.2021
Subjects
Degradation
Functional connectivity modeling
Hippocapus-Parahippocampus associativity
Mild Cognitive Impairment (MCI)
Neurological diseases
Quadratic detrending
Resting state functional MRI
Semantics
Senior citizens
Sensitivity
Solid modeling
Three-dimensional displays
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Summary:The Medial temporal lobe (MTL) plays a major role in orientation of cognitive and emotional ecstasies of long term memories in human brain. The semantic and episodic memory formulated in MTL with hippocampus and associated subfield parahippocampus, perirhinal and entorhinal neocortical subfields. The Hippocampus mostly controls the memory formation while neighboring cortices are responsible for memory storage. The early stage of Alzheimer's disease (AD), the Mild cognitive impairment (MCI) is traced with tissue loss in hippocampus and MTL. Thus the consequent functional connectivity (FC) degradation can be observed in resting state fMRI analysis. The proposed algorithm outlays a three dimensional FC analysis between hippocampus and parahippocampus to trace the early signs of MCI. Here the FC between each parahippocampal subfields and hippocampal subfields in its entirety are examined. A quadratic detrending process is incorporated to model both complex scanner drift constraints and longer scan sessions. The motion related artifacts and noise interventions are also well handled by proposed framework. The implemented framework can identify and analyze FC between hippocampus and parahippocampus. The result outcomes in terms of correlation matrix show great efficiency of dealing functional connectivity constraints. The whole process leads to trace MCI related connectivity malfunctions.
DOI:10.1109/ICCCNT51525.2021.9579988