Literature DB >> 22006034

Investigating the neural mechanisms of aware and unaware fear memory with FMRI.

David C Knight1, Kimberly H Wood.   

Abstract

Pavlovian fear conditioning is often used in combination with functional magnetic resonance imaging (fMRI) in humans to investigate the neural substrates of associative learning. In these studies, it is important to provide behavioral evidence of conditioning to verify that differences in brain activity are learning-related and correlated with human behavior. Fear conditioning studies often monitor autonomic responses (e.g. skin conductance response; SCR) as an index of learning and memory. In addition, other behavioral measures can provide valuable information about the learning process and/or other cognitive functions that influence conditioning. For example, the impact unconditioned stimulus (UCS) expectancies have on the expression of the conditioned response (CR) and unconditioned response (UCR) has been a topic of interest in several recent studies. SCR and UCS expectancy measures have recently been used in conjunction with fMRI to investigate the neural substrates of aware and unaware fear learning and memory processes. Although these cognitive processes can be evaluated to some degree following the conditioning session, post-conditioning assessments cannot measure expectations on a trial-to-trial basis and are susceptible to interference and forgetting, as well as other factors that may distort results. Monitoring autonomic and behavioral responses simultaneously with fMRI provides a mechanism by which the neural substrates that mediate complex relationships between cognitive processes and behavioral/autonomic responses can be assessed. However, monitoring autonomic and behavioral responses in the MRI environment poses a number of practical problems. Specifically, 1) standard behavioral and physiological monitoring equipment is constructed of ferrous material that cannot be safely used near the MRI scanner, 2) when this equipment is placed outside of the MRI scanning chamber, the cables projecting to the subject can carry RF noise that produces artifacts in brain images, 3) artifacts can be produced within the skin conductance signal by switching gradients during scanning, 4) the fMRI signal produced by the motor demands of behavioral responses may need to be distinguished from activity related to the cognitive processes of interest. Each of these issues can be resolved with modifications to the setup of physiological monitoring equipment and additional data analysis procedures. Here we present a methodology to simultaneously monitor autonomic and behavioral responses during fMRI, and demonstrate the use of these methods to investigate aware and unaware memory processes during fear conditioning.

Entities:  

Mesh:

Year:  2011        PMID: 22006034      PMCID: PMC3227182          DOI: 10.3791/3083

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  23 in total

1.  Further evidence for unconscious learning: preliminary support for the conditioning of facial EMG to subliminal stimuli.

Authors:  S C Bunce; E Bernat; P S Wong; H Shevrin
Journal:  J Psychiatr Res       Date:  1999 Jul-Aug       Impact factor: 4.791

2.  The role of awareness in delay and trace fear conditioning in humans.

Authors:  David C Knight; Hanh T Nguyen; Peter A Bandettini
Journal:  Cogn Affect Behav Neurosci       Date:  2006-06       Impact factor: 3.282

3.  The role of the human amygdala in the production of conditioned fear responses.

Authors:  David C Knight; Hanh T Nguyen; Peter A Bandettini
Journal:  Neuroimage       Date:  2005-04-20       Impact factor: 6.556

4.  Human amygdala activity during the expression of fear responses.

Authors:  Dominic T Cheng; David C Knight; Christine N Smith; Fred J Helmstetter
Journal:  Behav Neurosci       Date:  2006-12       Impact factor: 1.912

5.  Classical conditioning of autonomic fear responses is independent of contingency awareness.

Authors:  Douglas H Schultz; Fred J Helmstetter
Journal:  J Exp Psychol Anim Behav Process       Date:  2010-10

6.  Neural correlates of unconditioned response diminution during Pavlovian conditioning.

Authors:  Joseph E Dunsmoor; Peter A Bandettini; David C Knight
Journal:  Neuroimage       Date:  2007-12-08       Impact factor: 6.556

7.  Conditioning with masked stimuli affects the timecourse of skin conductance responses.

Authors:  Nicholas L Balderston; Fred J Helmstetter
Journal:  Behav Neurosci       Date:  2010-08       Impact factor: 1.912

8.  Learning-related diminution of unconditioned SCR and fMRI signal responses.

Authors:  David C Knight; Najah S Waters; Margaret K King; Peter A Bandettini
Journal:  Neuroimage       Date:  2009-07-16       Impact factor: 6.556

9.  Neural substrates of explicit and implicit fear memory.

Authors:  David C Knight; Najah S Waters; Peter A Bandettini
Journal:  Neuroimage       Date:  2008-11-28       Impact factor: 6.556

10.  Activity in the human amygdala corresponds to early, rather than late period autonomic responses to a signal for shock.

Authors:  Dominic T Cheng; Jennifer Richards; Fred J Helmstetter
Journal:  Learn Mem       Date:  2007-07-12       Impact factor: 2.460

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  14 in total

1.  Trauma exposure acutely alters neural function during Pavlovian fear conditioning.

Authors:  Nathaniel G Harnett; Edward W Ference; Kimberly H Wood; Muriah D Wheelock; Amy J Knight; David C Knight
Journal:  Cortex       Date:  2018-09-01       Impact factor: 4.027

2.  Violence exposure, affective style, and stress-induced changes in resting state functional connectivity.

Authors:  Heather E Dark; Nathaniel G Harnett; Adam M Goodman; Muriah D Wheelock; Sylvie Mrug; Mark A Schuster; Marc N Elliott; Susan Tortolero Emery; David C Knight
Journal:  Cogn Affect Behav Neurosci       Date:  2020-09-30       Impact factor: 3.282

3.  The amygdala mediates the emotional modulation of threat-elicited skin conductance response.

Authors:  Kimberly H Wood; Lawrence W Ver Hoef; David C Knight
Journal:  Emotion       Date:  2014-05-26

4.  Controllability modulates the neural response to predictable but not unpredictable threat in humans.

Authors:  Kimberly H Wood; Muriah D Wheelock; Joshua R Shumen; Kenton H Bowen; Lawrence W Ver Hoef; David C Knight
Journal:  Neuroimage       Date:  2015-07-03       Impact factor: 6.556

5.  Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity.

Authors:  M D Wheelock; K R Sreenivasan; K H Wood; L W Ver Hoef; Gopikrishna Deshpande; D C Knight
Journal:  Neuroimage       Date:  2014-08-08       Impact factor: 6.556

6.  Negative life experiences contribute to racial differences in the neural response to threat.

Authors:  Nathaniel G Harnett; Muriah D Wheelock; Kimberly H Wood; Adam M Goodman; Sylvie Mrug; Marc N Elliott; Mark A Schuster; Susan Tortolero; David C Knight
Journal:  Neuroimage       Date:  2019-08-08       Impact factor: 6.556

7.  Previous Institutionalization Is Followed by Broader Amygdala-Hippocampal-PFC Network Connectivity during Aversive Learning in Human Development.

Authors:  Jennifer A Silvers; Daniel S Lumian; Laurel Gabard-Durnam; Dylan G Gee; Bonnie Goff; Dominic S Fareri; Christina Caldera; Jessica Flannery; Eva H Telzer; Kathryn L Humphreys; Nim Tottenham
Journal:  J Neurosci       Date:  2016-06-15       Impact factor: 6.167

8.  Affective state and locus of control modulate the neural response to threat.

Authors:  Nathaniel G Harnett; Muriah D Wheelock; Kimberly H Wood; Jordan C Ladnier; Sylvie Mrug; David C Knight
Journal:  Neuroimage       Date:  2015-07-18       Impact factor: 6.556

9.  Neural mechanisms of human temporal fear conditioning.

Authors:  Nathaniel G Harnett; Joshua R Shumen; Pooja A Wagle; Kimberly H Wood; Muriah D Wheelock; James H Baños; David C Knight
Journal:  Neurobiol Learn Mem       Date:  2016-09-28       Impact factor: 2.877

10.  Adaptive and Wireless Recordings of Electrophysiological Signals During Concurrent Magnetic Resonance Imaging.

Authors:  Ranajay Mandal; Nishant Babaria
Journal:  IEEE Trans Biomed Eng       Date:  2018-10-23       Impact factor: 4.538

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