Network physiology of 'fight or flight' response in facial superficial blood vessels

Date

2019

Authors

Derakhshan, Amin
Mikaeili, Mohammad
Nasrabadi, Ali Motie
Gedeon, Tom

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Physics Publishing

Abstract

Objective: We introduced a novel framework to identify the dynamic pattern of blood flow changes in the cutaneous superficial blood vessels of the face for 'fight or flight' responses through facial thermal imaging. Approach: For this purpose, a thermal dataset was collected from 41 subjects in a mock crime scenario. Five facial areas including periorbital, forehead, perinasal, cheek and chin were selected on the face. Due to the cause and effect movement of blood in the facial cutaneous vasculature, the effective connectivity approach and graph analysis were used to extract causality features. The effective connectivity was quantified using a modified version of the multivariate Granger causality (GC) method among each pair of facial region of interests. Main results: Validation was performed using statistical analysis, and the results demonstrated that the proposed method was statistically significant in detecting the physiological pattern of deceptive anxiety on the face. Moreover, the obtained graph is visualized by different schemes to show these interactions more effectively. We used machine learning techniques to classify our data based on the GC values, which result in a greater than 87% accuracy rate in discriminating between deceptive and truthful subjects.

Description

Keywords

effective connectivity, facial thermal imaging, Granger causality, fight or flight resposne,, graph analysis, network physiology

Citation

Source

PHYSIOLOGICAL MEASUREMENT

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

Restricted until

2099-12-31