scholarly journals A Distinctive Pattern of Hippocampal-Prefrontal Cortical Network Activity during Stress Predicts Learned Resistance

2019 ◽  
Author(s):  
Danilo Benette Marques ◽  
Rafael Naime Ruggiero ◽  
Lezio Soares Bueno-Junior ◽  
Matheus Teixeira Rossignoli ◽  
João Pereira Leite
Keyword(s):  
Network Activity ◽  
Stress Coping ◽  
Escape Performance ◽  
Cognitive Mechanisms ◽  
Oscillatory Dynamics ◽  
Prefrontal Cortical ◽  
Neural Activities ◽  
Frequency Interaction ◽  
Stressful Experience ◽  
Stressor Controllability

AbstractThe perception of control over a stressful experience may determine its impacts and generate resistance against future stressors. Although the medial prefrontal cortex (mPFC) and the hippocampus are implicated in the encoding of stressor controllability, the neural dynamics underlying this process are unknown. Here, we recorded CA1 and mPFC neural activities in rats during the exposure to controllable, uncontrollable, or no shocks, and investigated electrophysiological predictors of escape performance upon exposure to subsequent uncontrollable shocks. We were able to accurately discriminate stressed from non-stressed animals and predict resistant or helpless individuals based on neural oscillatory dynamics. We identified a pattern of enhanced CA1-mPFC theta power, synchrony, cross-frequency interaction, and neuronal coupling that strongly predicted learned resistance, and that was lacking in helpless individuals. Our findings suggest that hippocampal-prefrontal network theta activity supports cognitive mechanisms of stress coping, and its impairment may underlie vulnerability to stress-related disorders.

Prediction of Learned Resistance or Helplessness by Hippocampal-Prefrontal Cortical Network Activity during Stress

2021 ◽  
pp. JN-RM-0128-21
Author(s):  
Danilo Benette Marques ◽  
Rafael Naime Ruggiero ◽  
Lezio Soares Bueno-Junior ◽  
Matheus Teixeira Rossignoli ◽  
João Pereira Leite
Keyword(s):  
Cortical Network ◽  
Network Activity ◽  
Prefrontal Cortical

Stress, Coping, and Well-being in Anglo and Chinese Elderly

1985 ◽  
Vol 4 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Paul T.P. Wong ◽  
Gary T. Reker
Keyword(s):  
Coping Strategies ◽  
Ethnic Minority ◽  
Chinese Immigrants ◽  
Well Being ◽  
Stress Coping ◽  
Double Jeopardy ◽  
Chinese Sample ◽  
Stressful Experience ◽  
Minority Aging ◽  
And Coping

ABSTRACTStress, perceived well-being, and coping behaviours were studied comparing a sample of aging Chinese immigrants with Anglos. The Chinese sample found growing old a more stressful experience, reported lower psychological well-being, depended more heavily on external and palliative coping strategies, and felt less effective in coping as compared to the Anglo counterparts. The finding supported the double jeopardy hypothesis of ethnic minority aging.

scholarly journals Zfp189 Mediates Stress Resilience Through a CREB-Regulated Transcriptional Network in Prefrontal Cortex

2018 ◽  
Author(s):  
Zachary S. Lorsch ◽  
Peter J. Hamilton ◽  
Aarthi Ramakrishnan ◽  
Eric M. Parise ◽  
William J. Wright ◽  
...  
Keyword(s):  
Gene Network ◽  
Zinc Finger Protein ◽  
Transcriptional Network ◽  
Network Activity ◽  
Stress Resilience ◽  
Prefrontal Cortical ◽  
Transcriptional Reprogramming ◽  
Upstream Regulator ◽  
Downstream Effects ◽  
Transcriptional Changes

SummaryStress resilience involves numerous brain-wide transcriptional changes. Determining the organization and orchestration of these transcriptional events may reveal novel antidepressant targets, but this remains unexplored. Here, we characterize the resilient transcriptome with co-expression analysis and identify a single transcriptionally-active uniquely-resilient gene network. Zfp189, a previously unstudied zinc finger protein, is the top network key driver and its overexpression in prefrontal cortical (PFC) neurons preferentially activates this network, alters neuronal activity and promotes behavioral resilience. CREB, which binds Zfp189, is the top upstream regulator of this network. To probe CREB-Zfp189 interactions as a network regulatory mechanism, we employ CRISPR-mediated locus-specific transcriptional reprogramming to direct CREB selectively to the Zfp189 promoter. This single molecular interaction in PFC neurons recapitulates the pro-resilient Zfp189-dependent downstream effects on gene network activity, electrophysiology and behavior. These findings reveal an essential role for Zfp189 and a CREB-Zfp189 regulatory axis in mediating a central transcriptional network of resilience.

scholarly journals Flexible resonance in prefrontal networks with strong feedback inhibition

2018 ◽  
Author(s):  
Jason S. Sherfey ◽  
Salva Ardid ◽  
Joachim Hass ◽  
Michael E. Hasselmo ◽  
Nancy J. Kopell
Keyword(s):  
Prefrontal Cortex ◽  
Feedback Inhibition ◽  
Dynamic Properties ◽  
Network Activity ◽  
Driving Frequency ◽  
Natural Oscillations ◽  
Detailed Model ◽  
Population Frequency ◽  
Oscillatory Dynamics ◽  
The Impact

AbstractOscillations are ubiquitous features of brain dynamics that undergo task-related changes in synchrony, power, and frequency. The impact of those changes on target networks is poorly understood. In this work, we used a biophysically detailed model of prefrontal cortex (PFC) to explore the effects of varying the spike rate, synchrony, and waveform of strong oscillatory inputs on the behavior of cortical networks driven by them. Interacting populations of excitatory and inhibitory neurons with strong feedback inhibition are inhibition-based network oscillators that exhibit resonance (i.e., larger responses to preferred input frequencies). We quantified network responses in terms of mean firing rates and the population frequency of network oscillation; and characterized their behavior in terms of the natural response to asynchronous input and the resonant response to oscillatory inputs. We show that strong feedback inhibition causes the PFC to generate internal (natural) oscillations in the beta/gamma frequency range (>15 Hz) and to maximize principal cell spiking in response to external oscillations at slightly higher frequencies. Importantly, we found that the fastest oscillation frequency that can be relayed by the network maximizes local inhibition and is equal to a frequency even higher than that which maximizes the firing rate of excitatory cells; we call this phenomenon population frequency resonance. This form of resonance is shown to determine the optimal driving frequency for suppressing responses to asynchronous activity. Lastly, we demonstrate that the natural and resonant frequencies can be tuned by changes in neuronal excitability, the duration of feedback inhibition, and dynamic properties of the input. Our results predict that PFC networks are tuned for generating and selectively responding to beta- and gamma-rhythmic signals due to the natural and resonant properties of inhibition-based oscillators. They also suggest strategies for optimizing transcranial stimulation and using oscillatory networks in neuromorphic engineering.Author SummaryThe prefrontal cortex (PFC) flexibly encodes task-relevant representations and outputs biases to mediate higher cognitive functions. The relevant neural ensembles undergo task-related changes in oscillatory dynamics at beta- and gamma frequencies. Using a computational model of the PFC network, we show that strong feedback inhibition causes the PFC to generate internal oscillations and to prefer external oscillations at similar frequencies. The precise frequencies that are generated and preferred can be flexibly tuned by varying the synchrony and strength of input network activity, the level of background excitation, and neuromodulation of intrinsic ion currents. We also show that the peak output frequency in response to external oscillations, which depends on the synchrony and strength of the input as well as the strong inhibitory feedback, is faster than the internally generated frequency, and that this difference enables exclusive response to oscillatory inputs. These properties enable changes in oscillatory dynamics to govern the selective processing and gating of task-relevant signals in service of cognitive control.

scholarly journals Neuronal network activity controls microglial process surveillance in awake mice via norepinephrine signaling

2019 ◽  
Author(s):  
Yong Liu ◽  
Yujiao Li ◽  
Ukpong B. Eyo ◽  
Tingjun Chen ◽  
Anthony D. Umpierre ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Sensory Deprivation ◽  
Brain Parenchyma ◽  
Network Activity ◽  
Process Dynamics ◽  
Two Photon ◽  
Neural Activities ◽  
Neuronal Network Activity ◽  
Health And Disease

AbstractMicroglia are resident immune cells that dynamically survey the brain parenchyma, interacting with neurons in both health and disease. However, it is still unclear how neuronal network activity drives microglial dynamics. Utilizing in vivo two-photon imaging of microglia in awake mice, we found that inhibition of neuronal activity under general anesthesia dramatically increased microglial process surveillance. Accordingly, both sensory deprivation and optogenetic inhibition of local neuronal network activity in awake mice resulted in similar increases in microglial process surveillance. We further determined that reduced norepinephrine signaling is responsible for the observed increase in microglial process surveillance. Our results demonstrate that microglial process dynamics are directly influenced by neural activities through norepinephrine signaling in awake animals and indicate the importance of awake imaging for studying microglia-neuron interactions.

scholarly journals Parvabumin interneuron-mediated hippocampal network activity disruption in a two-hit model with relevance to postintensive care syndrome: prevention by fluoxetine

2020 ◽  
Author(s):  
Mu-huo Ji ◽  
JianHua Tong ◽  
Zhi-qiang Zhou ◽  
Jian-Jun Yang
Keyword(s):  
Animal Model ◽  
Underlying Mechanism ◽  
Network Activity ◽  
Gabaergic Interneuron ◽  
Neural Activities ◽  
Fluoxetine Treatment ◽  
Relevant Animal Model ◽  
Gamma Power ◽  
Chronic Fluoxetine ◽  
Hippocampal Network

Abstract Background Postintensive care syndrome (PICS) is defined as a new or worsening impairment in cognition, mental health, and physical function after critical illness, which is associated with reduced quality of life and increased mortality. We recently have developed a clinically relevant animal model of PICS, which can mimic most features of human PICS. However, the underlying mechanism remains largely to be elucidated. Accumulating evidence has suggested that hippocampal GABAergic interneuron dysfunction is implicated in various mood disorders induced by stress. Methods We explored the role of hippocampal GABAergic interneurons and relevant neural activities in an animal model of PICS based on two-hit hypothesis. In addition, we tested whether fluoxetine treatment early following combined stress can prevent subsequent anatomical and behavioral pathologies. Results Here our study further supported our previous findings that this PICS model displayed reproducible anxiety- and depression like behavior and cognitive impairments, which resembles clinical features of human PICS. This behavioral state is accompanied by hippocampal neuroinflammation, reduced parvalbumin (PV) expression, and decreased theta and gamma power. Importantly, chronic fluoxetine treatment reversed most of these abnormities. Conclusions Our study provides additional evidence that PV interneuron-mediated hippocampal network activity disruption might play a key role in the pathological of PICS, while fluoxetine offers protection via modulation of the hippocampal PV interneuron and relevant network activities.

scholarly journals An overview of the tinnitus network activity and its clinical implications

2018 ◽  
Author(s):  
Samer Mohsen ◽  
Akram Pourbakht
Keyword(s):  
Network Model ◽  
Brain Area ◽  
The Other ◽  
Anterior Cingulate ◽  
Network Activity ◽  
Clinical Implications ◽  
Cognitive Mechanisms ◽  
Neural Basis ◽  
Dorsolateral Prefrontal ◽  
Tinnitus Distress

Background and Aim: Tinnitus, the phantom perception of sound, in which many cortical and subcortical areas are involved has become one of the popular subjects of neuroscience research. Neuroimaging studies have introduced the tinnitus network model to explain the involvement of auditory and non-auditory areas in this perception. In such a model, the cognitive and emotional aspects of tinnitus can be interpreted conveniently. Therefore, this paper aimed to review the neural basis of tinnitus networks, including data from neuroimaging studies, and discuss the clinical implication of this concept, as well.Recent Findings: The data from neuroimaging studies were reviewed and discussed in order to complete the overall image of tinnitus network and its correlates such as the distress network, attentional network and other cognitive mechanisms. In addition to the auditory system, the anterior cingulate cortex (ACC) and dorsolateral prefrontal cortex (DLPFC) were considered to be important hubs in tinnitus distress network, especially for having important connectivity with the other networks like attention and salience networks. Moreover, the top-down control of DLPFC over the other brain areas was regarded as the most important brain area to be targeted using the non-invasive interventions and the results were compelling.Conclusion: Understanding the network model has helped in optimizing the neuromodulation protocols like electrical stimulation techniques. Thus, the clinical implications of this model can be generalized to the other types of treatments and the outcomes might be satisfying.

scholarly journals Adolescent thalamic inhibition leads to long-lasting impairments in prefrontal cortex function

2021 ◽  
Author(s):  
Laura Benoit ◽  
Emma Holt ◽  
Lorenzo Posani ◽  
Stefano Fusi ◽  
Alexander Harris ◽  
...  
Keyword(s):  
Cognitive Deficits ◽  
Neurodevelopmental Disorders ◽  
Cognitive Task ◽  
Network Activity ◽  
Sensitive Period ◽  
Prefrontal Cortical ◽  
Midline Thalamus ◽  
Cross Correlations ◽  
Cortical Excitation ◽  
Cortical Maturation

Abstract Impaired cortical maturation is a postulated mechanism in the etiology of neurodevelopmental disorders, including schizophrenia. In sensory cortex, activity relayed by the thalamus during a postnatal sensitive period is essential for proper cortical maturation. Whether thalamic activity also shapes prefrontal cortical maturation is unknown. Here, we show that inhibiting the midline thalamus during adolescence leads to a long-lasting decrease in thalamo-prefrontal projection density and cortical excitation. Adolescent thalamic inhibition also causes prefrontal-dependent cognitive deficits during adulthood that are associated with disrupted prefrontal cross-correlations and task outcome encoding. In contrast, thalamic inhibition during adulthood has no long-lasting consequences. Strikingly, exciting the thalamus in adulthood during a cognitive task rescues prefrontal cross-correlations, task outcome encoding, and cognitive deficits. These data point to adolescence as a sensitive window of thalamo-cortical circuit maturation. Furthermore, by supporting prefrontal network activity, boosting thalamic activity provides a potential therapeutic strategy for rescuing cognitive deficits in neurodevelopmental disorders.

Acute Clozapine Suppresses Synchronized Pyramidal Synaptic Network Activity by Increasing Inhibition in the Ferret Prefrontal Cortex

2007 ◽  
Vol 97 (2) ◽  
pp. 1196-1208 ◽  
Author(s):  
Wen-Jun Gao
Keyword(s):  
Prefrontal Cortex ◽  
Pyramidal Neurons ◽  
Pyramidal Cells ◽  
Suppressive Effect ◽  
Network Activity ◽  
Cortical Circuitry ◽  
Prefrontal Cortical ◽  
Recurrent Excitation ◽  
Whole Cell Recordings

Recent studies have indicated that impaired neural circuitry in the prefrontal cortex is a prominent feature of the neuropathology of schizophrenia. Clozapine is one of the most effective antipsychotic drugs used for this debilitating disease. Despite its effectiveness, the mechanism by which clozapine acts on prefrontal cortical circuitry remains poorly understood. In this study, in vitro multiple whole cell recordings were performed in slices of the ferret prefrontal cortex. Clozapine, which effectively inhibited the spontaneous synchronized network activities in the prefrontal neurons, achieved the suppressive effect by decreasing the recurrent excitation among pyramidal neurons and by enhancing the inhibitory inputs onto pyramidal cells through a likely network mechanism. Indeed, under the condition of disinhibition, the depressing effects were reversed and clozapine enhanced the recurrent excitation. These results suggest that the therapeutic actions of clozapine in alleviating the positive symptoms of schizophrenia are achieved, at least partially, through the readjustment of synaptic balance between the excitation and inhibition in the prefrontal cortical circuitry.

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