Interaction decomposition of Emotion and Working memory signals

Poster No:

618 

Submission Type:

Abstract Submission 

Authors:

YECHEN HU1

Institutions:

1The Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Shanghai, AK

First Author:

YECHEN HU  
The Institute of Science and Technology for Brain-inspired Intelligence (ISTBI)
Shanghai, AK

Introduction:

Most brain regions are capable of supporting multiple cognitive functions simultaneously, rather than being exclusively dedicated to a single cognitive process. Investigating their shared cognitive functions can help researchers understand their original roles and mechanisms in development and evolution. For example, the IFG (Inferior Frontal Gyrus) is activated during memory, emotion, and even motor tasks, suggesting the existence of a common underlying neural basis. A meta-analysis based on ALE (Activation Likelihood Estimation) conducted by Liu et al. (2019) found that the IFG shows activation in memory suppression, emotion regulation, and response inhibition tasks. This is likely because the IFG plays a role in inhibition or, more broadly, motor control across various tasks. While research on the interaction between emotion and cognitive functions often focuses on the integration or mutual influence of the two, this study focuses on their shared expression and common activations.

Methods:

Decomposing fMRI to obtain Emotion-Working Memory Interaction
The fMRI signals of the entire brain were decomposed using our novel methods to identify brain regions indicating interaction between Emotion and woWM Interaction. We firstly obtained the emotion face processing under 0-Back and 2-Back separately and then combined this two loads to get emotion and woWM Interaction . Our decomposition methods were applied to all individuals across all 8 conditions to distinguish the distinct yet interacted emotion face processing mechanisms of arousal and valence. Specifically, the 8 conditions utilized for affective decomposition were 0-Back-Happy, 0-Back-Neutral, 0-Back-Fear,0-Back-Place,2-Back-Happy, 2-Back-Neutral, 2-Back-Fear and 2-Back-Place.
We designed 4 orthogonal bases for the decomposition of the 8 conditions, namely 0-Back-Arousal [1,-2,1,0,0,0,0,0], 0-Back-Valence [1,0,-1,0,0,0,0,0], 2-Back-Arousal [1,-2,1,0,0,0,0,0], and 2-Back-Valence [1,0,-1,0,0,0,0,0]. Besides, we also designed woWM base [-1,-1,-1,-1,1,1,1,1] .

Results:

Bilateral Inferior Cortex Exhibits Pronounced Valence Affective Signals and Enhanced Fear Memory Effect
In bilateral Inferior Frontal Cortex (IFC), a pronounced preference for fear signals has been observed, with such preference exhibiting a significant enhancement with increasing working memory load. Valence signal has been already displayed by IFC during Zero-Back condition(t=5.6,P<0.00005). Notably, this valence signal was amplified during Two-Back condition(t=6.5,P<0.00005)
Correspondingly, a similar acceleration in the processing of fearful faces was observed in behavioral performance. During the Zero-Back condition, there was a significant disparity between responses to Fear and Neutral faces (P<0.0001); however, under increased working memory load, this difference disappeared (P=0.29).The improvement in behavioral performance for Fear faces was strongly associated with IFG activation. Specifically, the enhancement in accuracy was significantly correlated with IFG activation (P<0.00005), while the reduction in reaction time was also significantly associated with IFG activation (P<0.004).

Conclusions:

In summary, this study found that the IFG not only simultaneously encodes emotional and cognitive processing but also exhibits optimized emotional encoding under memory load, indicating an interaction between the two processes.

Emotion, Motivation and Social Neuroscience:

Emotional Perception 1

Learning and Memory:

Working Memory 2

Keywords:

Cognition
Design and Analysis
Memory

1|2Indicates the priority used for review

Abstract Information

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Please indicate below if your study was a "resting state" or "task-activation” study.

Task-activation

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Healthy subjects

Was this research conducted in the United States?

No

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

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Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Yes

Please indicate which methods were used in your research:

Functional MRI

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

SPM

Provide references using APA citation style.

Belyk M, Brown S, Lim J, Kotz SA. Convergence of semantics and emotional expression within the IFG pars orbitalis. Neuroimage. 2017 Aug 1;156:240-248. doi: 10.1016/j.neuroimage.2017.04.020. Epub 2017 Apr 8. PMID: 28400265.
Gothard, K.M. Multidimensional processing in the amygdala. Nat Rev Neurosci 21, 565–575 (2020).
Wei Liu, Nancy Peeters, Guillén Fernández, Nils Kohn, Common neural and transcriptional correlates of inhibitory control underlie emotion regulation and memory control, Social Cognitive and Affective Neuroscience, Volume 15, Issue 5, May 2020, Pages 523–536

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