Literature DB >> 23094650

Model-based analysis of skin conductance responses: Towards causal models in psychophysiology.

Dominik R Bach1, Karl J Friston.   

Abstract

The empirical investigation of unobservable psychological processes usually rests on operational definitions. As an alternative, we propose the use of explicit causal models. This is particularly useful in psychophysiology, where formal models can be expressed mathematically, exploiting biophysical constraints, and inverted to yield estimates of unobservable processes. In psychophysiology, recent advances have been made in causal modeling for skin conductance responses, which we discuss to exemplify the development of such models. Empirical evidence suggests that these methods have a greater validity compared to operational approaches. This review concludes by considering the theoretical implications for the field of psychophysiology and benefits for practical data analysis.
Copyright © 2012 Society for Psychophysiological Research.

Mesh:

Year:  2012        PMID: 23094650     DOI: 10.1111/j.1469-8986.2012.01483.x

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  42 in total

1.  Filtering and model-based analysis independently improve skin-conductance response measures in the fMRI environment: Validation in a sample of women with PTSD.

Authors:  Anthony A Privratsky; Keith A Bush; Dominik R Bach; Emily M Hahn; Josh M Cisler
Journal:  Int J Psychophysiol       Date:  2020-10-16       Impact factor: 2.997

2.  Prenatal opioid exposure heightens sympathetic arousal and facial expressions of pain/distress in term neonates at 24-48 hours post birth.

Authors:  Christiana N Oji-Mmuo; Rebecca R Speer; Fumiyuki C Gardner; Megan M Marvin; Alexia C Hozella; Kim K Doheny
Journal:  J Matern Fetal Neonatal Med       Date:  2019-04-09

Review 3.  Measurement of interpersonal physiological synchrony in dyads: A review of timing parameters used in the literature.

Authors:  Analia Marzoratti; Tanya M Evans
Journal:  Cogn Affect Behav Neurosci       Date:  2022-05-12       Impact factor: 3.282

4.  Value estimation and latent-state update-related neural activity during fear conditioning predict posttraumatic stress disorder symptom severity.

Authors:  Allison M Letkiewicz; Amy L Cochran; Anthony A Privratsky; G Andrew James; Josh M Cisler
Journal:  Cogn Affect Behav Neurosci       Date:  2021-08-26       Impact factor: 3.526

5.  Human Sensory Cortex Contributes to the Long-Term Storage of Aversive Conditioning.

Authors:  Yuqi You; Joshua Brown; Wen Li
Journal:  J Neurosci       Date:  2021-02-23       Impact factor: 6.167

6.  Sparse representation of electrodermal activity with knowledge-driven dictionaries.

Authors:  Theodora Chaspari; Andreas Tsiartas; Leah I Stein; Sharon A Cermak; Shrikanth S Narayanan
Journal:  IEEE Trans Biomed Eng       Date:  2014-12-04       Impact factor: 4.538

7.  Reappraisal of incentives ameliorates choking under pressure and is correlated with changes in the neural representations of incentives.

Authors:  Simon Dunne; Vikram S Chib; Joseph Berleant; John P O'Doherty
Journal:  Soc Cogn Affect Neurosci       Date:  2019-01-04       Impact factor: 3.436

8.  Regression-based estimation of ERP waveforms: II. Nonlinear effects, overlap correction, and practical considerations.

Authors:  Nathaniel J Smith; Marta Kutas
Journal:  Psychophysiology       Date:  2014-09-04       Impact factor: 4.016

9.  A solid frame for the window on cognition: Modeling event-related pupil responses.

Authors:  Christoph W Korn; Dominik R Bach
Journal:  J Vis       Date:  2016       Impact factor: 2.240

10.  Anxiety and the Neurobiology of Temporally Uncertain Threat Anticipation.

Authors:  Juyoen Hur; Jason F Smith; Kathryn A DeYoung; Allegra S Anderson; Jinyi Kuang; Hyung Cho Kim; Rachael M Tillman; Manuel Kuhn; Andrew S Fox; Alexander J Shackman
Journal:  J Neurosci       Date:  2020-09-21       Impact factor: 6.167

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