Threat impairs flexible use of a cognitive map

2021 ◽  
Author(s):  
Brian Silston ◽  
Kevin Ochsner ◽  
Mariam Aly

Goal-directed behavior requires adaptive systems that respond to environmental demands. In the absence of threat (or presence of reward), individuals are free to explore a large number of behavioral trajectories, effectively interrogating the environment across many dimensions. This leads to flexible, relational memory encoding and retrieval. In the presence of imminent danger, motivation shifts to an imperative state characterized by a narrow focus of attention on threatening information. This impairs flexible, relational memory. Here, we test how these proposed motivational shifts (Murty & Adcock, 2017) affect behavioral flexibility and memory. Participants learned the structure of a maze-like environment and navigated to the location of everyday objects in both safe and threatening contexts. The latter contained a predator that could ‘capture’ participants, leading to electric shock. After learning, the path to some objects was blocked, forcing a detour for which one route was significantly shorter. We predicted that the threatening environment would push participants toward an imperative state, leading to less efficient and less flexible navigation. Across 3 studies, we found that threat caused participants to take longer paths to goal objects and less efficient detours when obstacles were encountered. Navigation was less efficient despite no impairment in recognition memory for the maps learned in safe vs threatening contexts. These results provide ecologically valid evidence that imperative states, triggered by threat, reduce the ability to flexibly use cognitive maps to guide behavior.

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Rebecca H. C. Norris ◽  
Leonid Churilov ◽  
Anthony J. Hannan ◽  
Jess Nithianantharajah

AbstractCognitive dysfunction including disrupted behavioral flexibility is central to neurodevelopmental disorders such as Autism Spectrum Disorder (ASD). A cognitive measure that assesses relational memory, and the ability to flexibly assimilate and transfer learned information is transitive inference. Transitive inference is highly conserved across vertebrates and disrupted in cognitive disorders. Here, we examined how mutations in the synaptic cell-adhesion molecule neuroligin-3 (Nlgn3) that have been documented in ASD impact relational memory and behavioral flexibility. We first refined a rodent touchscreen assay to measure visual transitive inference, then assessed two mouse models of Nlgn3 dysfunction (Nlgn3−/y and Nlgn3R451C). Deep analysis of touchscreen behavioral data at a trial level established we could measure trajectories in flexible responding and changes in processing speed as cognitive load increased. We show that gene mutations in Nlgn3 do not disrupt relational memory, but significantly impact flexible responding. Our study presents the first analysis of reaction times in a rodent transitive inference test, highlighting response latencies from the touchscreen system are useful indicators of processing demands or decision-making processes. These findings expand our understanding of how dysfunction of key components of synaptic signaling complexes impact distinct cognitive processes disrupted in neurodevelopmental disorders, and advance our approaches for dissecting rodent behavioral assays to provide greater insights into clinically relevant cognitive symptoms.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
T. Kircher

Episodic memory encoding and retrieva processes have been linked to different neural networks. However, the common brain regions associated with non-relational memory processing during successful encoding (subsequent memory effect) and successful retrieval (recognition effect) have not yet been investigated. Further, the majority of functional imaging studies have been conducted in young subjects, whereas patients from lesion studies, where most neuropsychological models are still based upon, are usually older. Inferences from younger subjects cannot necessarily be applied to the elderly, an issue becoming particularly relevant with our ageing society. Using an event-related fMRI approach we studied 29 healthy elderly subjects (mean age 67.8, SD 5.4 years) with a non-associative task of intentional word list encoding and retrieval. For each subject, behavioural responses were individually classified into four event types (hits, misses, false alarms, correct rejections). Brain areas activated during successful memory encoding comprised the anterior left hippocampus extending into the surrounding parahippocampal gyrus. Regions associated with successful memory retrieval involved a widespread network of anterior left parahippocampal gyrus, bilateral temporal cortices and bilateral ventral and dorsal prefrontal areas. Regions contributing to both successful encoding and retrieval, evidenced by a conjunction analysis, revealed prominent left lateralized activations of the anterior hippocampus and the inferior parietal lobe. Our results indicate that the anterior left hippocampus plays an important role during successful memory encoding and during successful memory retrieval in a task of simple, non-associative wordlist learning in healthy elderly subjects.


2012 ◽  
Vol 24 (2) ◽  
pp. 351-366 ◽  
Author(s):  
Wolfgang M. Pauli ◽  
Thomas E. Hazy ◽  
Randall C. O'Reilly

Appetitive goal-directed behavior can be associated with a cue-triggered expectancy that it will lead to a particular reward, a process thought to depend on the OFC and basolateral amygdala complex. We developed a biologically informed neural network model of this system to investigate the separable and complementary roles of these areas as the main components of a flexible expectancy system. These areas of interest are part of a neural network with additional subcortical areas, including the central nucleus of amygdala, ventral (limbic) and dorsomedial (associative) striatum. Our simulations are consistent with the view that the amygdala maintains Pavlovian associations through incremental updating of synaptic strength and that the OFC supports flexibility by maintaining an activation-based working memory of the recent reward history. Our model provides a mechanistic explanation for electrophysiological evidence that cue-related firing in OFC neurons is nonselectively early after a contingency change and why this nonselective firing is critical for promoting plasticity in the amygdala. This ambiguous activation results from the simultaneous maintenance of recent outcomes and obsolete Pavlovian contingencies in working memory. Furthermore, at the beginning of reversal, the OFC is critical for supporting responses that are no longer inappropriate. This result is inconsistent with an exclusive inhibitory account of OFC function.


2008 ◽  
Vol 11 (03) ◽  
pp. 443-470 ◽  
Author(s):  
BURTON VOORHEES ◽  
JOSEPH SENEZ ◽  
TODD KEELER ◽  
MARTIN CONNORS

We present a population model illustrating the concept of virtual stability, i.e. the idea that complex adaptive systems with the capacity for self-monitoring and adaptive control are able to maintain themselves in states that would otherwise be unstable. The advantage gained from this is increased behavioral flexibility in the face of random environmental perturbations. In the model presented, transition probabilities between three population types are used to emulate stability: stable types have low probabilities of making transitions to other types, and unstable types have high transition probabilities. The model itself consists of two stable types and one unstable type, and conditions are explored that lead to dominance by the unstable type. Under certain conditions the unstable type can defeat a stable type, even in an environment that always favors the stable type.


Author(s):  
Martin V. Butz ◽  
Esther F. Kutter

While reward-oriented learning can adapt and optimize behavior, this chapter shows how behavior can become anticipatory and selectively goal-oriented. Flexibility and adaptability are necessary when living in changing environmental niches. As a consequence, different locations in the environment need to be distinguished to enable selective and optimally attuned interactions. To accomplish this, sensorimotor learning is necessary. With sufficient sensorimotor knowledge, the progressively abstract learning of environmental predictive models becomes possible. These models enable forward anticipations about action consequences and incoming sensory information. As a consequence, our own influences on the environment can be distinguished from other influences, following the re-afference principle. Moreover, inverse anticipations enable the selection of the behavior that is believed to reach current goals most effectively. Coupled with motivations, goal-directed behavior can be generated self-motivatedly. Furthermore, curious, information seeking, epistemic behavior can be generated. The remainder of the book addresses how the brain accomplishes this goal-oriented, self-motivated generation of behavior and thought, where the latter can be considered mental behavior.


2019 ◽  
Author(s):  
Seongmin A. Park ◽  
Douglas S. Miller ◽  
Hamed Nili ◽  
Charan Ranganath ◽  
Erie D. Boorman

ABSTRACTCognitive maps are thought to enable model-based inferences from limited experience that can guide novel decisions–a hallmark of behavioral flexibility. We tested whether the hippocampus (HC), entorhinal cortex (EC), and ventromedial prefrontal cortex (vmPFC)/medial orbitofrontal cortex (mOFC) organize abstract and discrete relational information into a cognitive map to guide novel inferences. Subjects learned the status of people in two separate unseen 2-D social hierarchies defined by competence and popularity piecemeal from binary comparisons, with each dimension learned on a separate day. Although only one dimension was ever behaviorally relevant, multivariate activity patterns in HC, EC and vmPFC/mOFC were linearly related to the Euclidean distance between people in the mentally reconstructed 2-D space. Hubs created unique comparisons between the two hierarchies, enabling inferences between novel pairs of people. We found that both behavior and neural activity in EC and vmPFC/mOFC reflected the Euclidean distance to the retrieved hub, which was reinstated in HC. These findings reveal how abstract and discrete relational structures are represented, combined, and enable novel inferences in the human brain.


2020 ◽  
Vol 287 ◽  
pp. 112910 ◽  
Author(s):  
David Y. Suh ◽  
Simon N. Vandekar ◽  
Stephan Heckers ◽  
Suzanne N. Avery

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