Study Results
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Basic Information
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COMPLETED
50 participants
OBSERVATIONAL
2017-10-23
2018-10-26
Brief Summary
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Secondary project 1 aim: The aim of this study is to characterize the link between sensorimotor network (SMN) within and between functional connectivity following the stress response and its association with physiological indices and self-report measures.
Secondary project 2 aim: To elucidate temporal alterations of topological patterns (i.e., integration and segregation), the investigators seek to examine resting state fMRI data before and after a cognitive load task and an acute stress induction.
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Detailed Description
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In this current research the use of non-invasive imaging techniques, such as EEG and fMRI, in addition to physiological measurements, such as heart rate, skin conductance, and eye movements, will allow an objective characterization of the individual's response to cognitive workload under stress.
Secondary Project 1: Psychological stress has an immense influence on mental and physical homeostasis. Stress reactivity and recovery involve distributed neural activation, but it is unclear which neural mechanism underlies mental and physical associations of stress adversities. One candidate for such a connection is the sensorimotor network (SMN); comprised of S1, M1, the posterior insula, and the ventral posterior thalamus. The most recognized role of the somato-sensorimotor network is the processing of bodily sensory inputs, represented in the sensory homunculus. Despite the clear involvement of body reaction to stress, evidence regarding the involvement of the sensorimotor network in the modulation of the mental stress response is currently lacking.
Previous studies found decreased or increased resting state-FC (rsFC) between the Posterior PCC (PCC); a major node in DMN, and two major nodes in the SMN, the posterior insula and thalamus, respectively (Vaisvaser et al., 2013). Additionally, a recent study (Zhang et al., 2020) that applied graph analysis, a method to depict segregation and integration typology of brain networks, found that under lab-induced stress, the SMN exhibited higher between-networks FC, the DMN exhibited enhanced within-FC, and the CEN exhibited decreased within-FC. Moreover, the SMN was found to have a high connection ratio within its own network nodes. These findings demonstrate an enhanced tendency of the SMN to communicate with other functional networks under acute stress. These findings could be framed as a change in network typology under conditions of high demands; assuming higher between networks FC in contrast to states of low demand (Shine, 2019). Nevertheless, there is limited evidence about the change of resting-state functional brain networks following a stressful event. Such an approach will help portray the neural mechanism of reactivity and possibly recovery from stress; a major source of inter-individual differences. We aim to uncover the involvement of the sensorimotor network in response to acute stress and its association with other functional neural networks, physiological stress response, and self-report characteristics.
Secondary Project 2: Functional connectivity changes due to a stressogenic experience were thoroughly researched. For the most part, studies have only assessed functional connectivity using the conventional static connectivity approach; thus, neglecting temporal alterations of topological patterns (i.e., integration and segregation) that remained unclear.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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cognitive load with/ without stress induction
Participants will engage in demanding cognitive load computerized tasks (such as N-back and Stroop tasks). They will engage in these tasks once in a non-stressful (neutral condition), and once in a stressful condition.
Psychological stress will be induced by the following methods:
1. Limiting time for task completion
2. Providing negative feedback on participants' performance in relation to others
3. Presentation of sudden, loud sounds during task
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Without any known neurological disease
* Normal or corrected vision
* All subjects must apply the standard criteria for inclusion and exclusion for a medical MRI scan, according to the MRI safety screening questionnaire of the "Wohl" MRI institute of the Tel-Aviv Sourasky Medical Center.
Exclusion Criteria
* Claustrophobia
* Unremoved metals (according to the MRI safety screening questionnaire)
18 Years
55 Years
MALE
Yes
Sponsors
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Elbit Systems LTD
INDUSTRY
Tel-Aviv Sourasky Medical Center
OTHER_GOV
Responsible Party
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Principal Investigators
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Talma Hendler, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Tel-Aviv Sourasky Medical Center
Locations
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Tel Aviv Sourasky Medical Center
Tel Aviv, , Israel
Countries
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References
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Hermans EJ, Henckens MJ, Joels M, Fernandez G. Dynamic adaptation of large-scale brain networks in response to acute stressors. Trends Neurosci. 2014 Jun;37(6):304-14. doi: 10.1016/j.tins.2014.03.006. Epub 2014 Apr 21.
Vaisvaser S, Lin T, Admon R, Podlipsky I, Greenman Y, Stern N, Fruchter E, Wald I, Pine DS, Tarrasch R, Bar-Haim Y, Hendler T. Neural traces of stress: cortisol related sustained enhancement of amygdala-hippocampal functional connectivity. Front Hum Neurosci. 2013 Jul 5;7:313. doi: 10.3389/fnhum.2013.00313. eCollection 2013.
Zhang Y, Dai Z, Hu J, Qin S, Yu R, Sun Y. Stress-induced changes in modular organizations of human brain functional networks. Neurobiol Stress. 2020 May 25;13:100231. doi: 10.1016/j.ynstr.2020.100231. eCollection 2020 Nov.
Shine JM. Neuromodulatory Influences on Integration and Segregation in the Brain. Trends Cogn Sci. 2019 Jul;23(7):572-583. doi: 10.1016/j.tics.2019.04.002. Epub 2019 May 7.
Other Identifiers
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TASMC-18-TH-0407-17-TLV-CTIL
Identifier Type: -
Identifier Source: org_study_id
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