scholarly journals Heterogeneous side-effects of cortical inactivation in behaving animals

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Ariana R Andrei ◽  
Samantha Debes ◽  
Mircea Chelaru ◽  
Xiaoqin Liu ◽  
Elsa Rodarte ◽  
...  

Cortical inactivation represents a key causal manipulation that allows the study of cortical circuits and their impact on behavior. A key assumption in these studies is that the neurons in the target area become silent while the surrounding cortical tissue is only negligibly impacted. However, individual neurons are embedded in complex local circuits comprised of excitatory and inhibitory cells with connections extending hundreds of microns. This raises the possibility that silencing one part of the network could induce complex, unpredictable activity changes in neurons outside the targeted inactivation zone. These off-target side effects can potentially complicate interpretations of inactivation manipulations, especially when they are related to changes in behavior. Here, we demonstrate that optogenetic inactivation of glutamatergic neurons in the superficial layers of monkey V1 induces robust suppression at the light-targeted site, but destabilizes stimulus responses in the neighboring, untargeted network. We identified 4 types of stimulus-evoked neuronal responses within a cortical column, ranging from full suppression to facilitation, and a mixture of both. Mixed responses were most prominent in middle and deep cortical layers. Importantly, these results demonstrate that response modulation driven by lateral network connectivity is diversely implemented throughout a cortical column. Furthermore, consistent behavioral changes induced by optogenetic inactivation were only achieved when cumulative network activity was homogeneously suppressed. Therefore, careful consideration of the full range of network changes outside the inactivated cortical region is required, as heterogeneous side-effects can confound interpretation of inactivation experiments.

2018 ◽  
Author(s):  
Alejandro Pan-Vazquez ◽  
Winnie Wefelmeyer ◽  
Victoria Gonzalez Sabater ◽  
Juan Burrone

AbstractGABAergic interneurons are chiefly responsible for controlling the activity of local circuits in the cortex1,2. However, the rules that govern the wiring of interneurons are not well understood3. Chandelier cells (ChCs) are a type of GABAergic interneuron that control the output of hundreds of neighbouring pyramidal cells through axo-axonic synapses which target the axon initial segment (AIS)4. Despite their importance in modulating circuit activity, our knowledge of the development and function of axo-axonic synapses remains elusive. In this study, we investigated the role of activity in the formation and plasticity of ChC synapses. In vivo imaging of ChCs during development uncovered a narrow window (P12-P18) over which axons arborized and formed connections. We found that increases in the activity of either pyramidal cells or individual ChCs during this temporal window resulted in a reversible decrease in axo-axonic connections. Voltage imaging of GABAergic transmission at the AIS showed that axo-axonic synapses were depolarising during this period. Identical manipulations of network activity in older mice (P40-P46), when ChC synapses are inhibitory, resulted in an increase in axo-axonic synapses. We propose that the direction of ChC plasticity follows homeostatic rules that depend on the polarity of axo-axonic synapses.


2019 ◽  
Author(s):  
James D. Howard ◽  
Rachel Reynolds ◽  
Devyn E. Smith ◽  
Joel L. Voss ◽  
Geoffrey Schoenbaum ◽  
...  

ABSTRACTOutcome-guided behavior requires knowledge about the current value of expected outcomes. Such behavior can be isolated in the reinforcer devaluation task, which assesses the ability to infer the current value of rewards after devaluation. Animal lesion studies demonstrate that orbitofrontal cortex (OFC) is necessary for normal behavior in this task, but a causal role for human OFC in outcome-guided behavior has not been established. Here we used sham-controlled non-invasive continuous theta-burst stimulation (cTBS) to temporarily disrupt human OFC network activity prior to devaluation of food odor rewards in a between-subjects design. Subjects in the sham group appropriately avoided Pavlovian cues associated with devalued food odors. However, subjects in the stimulation group persistently chose those cues, even though devaluation of food odors themselves was unaffected by cTBS. This behavioral impairment was mirrored in changes in resting-stated functional magnetic resonance imaging (rs-fMRI) activity, such that subjects in the stimulation group exhibited reduced global OFC network connectivity after cTBS, and the magnitude of this reduction was correlated with choices after devaluation. These findings demonstrate the feasibility of indirectly targeting the human OFC with non-invasive cTBS, and indicate that OFC is specifically required for inferring the value of expected outcomes.


Author(s):  
Robert M. Post

Lithium is the paradigmatic mood stabilizer. It is effective in the acute and prophylactic treatment of both mania and, to a lesser magnitude, depression. These characteristics are generally paralleled by the widely accepted anticonvulsant mood stabilizers valproate, carbamazepine (Table 6.2.4.1), and potentially by the less well studied putative mood stabilizers oxcarbazepine, zonisamide, and the dihydropyridine L-type calcium channel blocker nimodipine. In contrast, lamotrigine has a profile of better antidepressant effects acutely and prophylactically than antimanic effects. Having grouped lithium, valproate, and carbamazepine together, it is important to note they have subtle differences in their therapeutic profiles and differential clinical predictors of response (Table 6.2.4.1). Response to one of these agents is not predictive of either a positive or negative response to the others. Thus, clinicians are left with only rough estimates and guesses about which drug may be preferentially effective in which patients. Only sequential clinical trials of agents either alone or in combination can verify responsivity in an individual patient. Individual response trumps FDA-approval. Given this clinical conundrum, it is advisable that patients, family members, clinicians, or others carefully rate patients on a longitudinal scale in order to most carefully assess responses and side effects. These are available from the Depression Bipolar Support Alliance (DBSA), the STEP-BD NIMH Network, or www.bipolarnetworknews.org and are highly recommended. The importance of careful longitudinal documentation of symptoms and side effects is highlighted by the increasing use of multiple drugs in combination. This is often required because patients may delay treatment-seeking until after many episodes, and very different patterns and frequencies of depressions, manias, mixed states, as well as multiple comorbidities may be present. Treating patients to the new accepted goal of remission of their mood and other anxillary symptoms usually requires use of several medications. If each component of the regimen is kept below an individual's side-effects threshold, judicious use of multiple agents can reduce rather than increase the overall side-effect burden. There is increasing evidence of reliable abnormalities of biochemistry, function, and anatomy in the brains of patients with bipolar disorder, and some of these are directly related to either duration of illness or number of episodes. Therefore, as treatment resistance to most therapeutic agents is related to number of prior episodes, and brain abnormalities may also increase as well, it behooves the patient to begin and sustain acute and long-term treatment as early as possible. Despite the above academic, personal, and public health recommendations, bipolar disorder often takes ten years or more to diagnose and, hence, treat properly. In fact, a younger age of onset is highly related to presence of a longer delay from illness onset to first treatment, and as well, to a poorer outcome assessed both retrospectively and prospectively. New data indicate that the brain growth factor BDNF (brain-derived neurotrophic factor) which is initially important to synaptogenesis and neural development, and later neuroplasticity and long-term memory in the adult is involved in all phases of bipolar disorder and its treatment. It appears to be: 1) both a genetic (the val-66-val allele of BDNF) and environmental (low BDNF from childhood adversity) risk factor; 2) episode-related (serum BDNF decreasing with each episode of depression or mania in proportion to symptom severity; 3) related to some substance abuse comorbidity (BDNF increases in the VTA with defeat stress and cocaine self-administration); and 4) related to treatment. Lithium, valproate, and carbamazepine increase BDNF and quetiapine and ziprasidone block the decreases in hippocampal BDNF that occur with stress (as do antidepressants). A greater number of prior episodes is related to increased likelihood of: 1) a rapid cycling course; 2) more severe depressive symptoms; 3) more disability; 4) more cognitive dysfunction; and 5) even the incidence of late life dementia. Taken together, the new data suggest a new view not only of bipolar disorder, but its treatment. Adequate effective treatment may not only (a) prevent affective episodes (with their accompanying risk of morbidity, dysfunction, and even death by suicide or the increased medical mortality associated with depression), but may also (b) reverse or prevent some of the biological abnormalities associated with the illness from progressing. Thus, patients should be given timely information pertinent to their stage of illness and recovery that emphasizes not only the risk of treatments, but also their potential, figuratively and literally, life-saving benefits. Long-term treatment and education and targeted psychotherapies are critical to a good outcome. We next highlight several attributes of each mood stabilizer, but recognize that the choice of each agent itself is based on inadequate information from the literature, and sequencing of treatments and their combinations is currently more an art than an evidence-based science. We look forward to these informational and clinical trial deficits being reduced in the near future and the development of single nucleotide polymorphism (SNP) and other neurobiological predictors of individual clinical response to individual drugs. In the meantime, patients and clinicians must struggle with treatment choice based on: 1) the most appropriate targetting of the predominant symptom picture with the most likely effective agent (Table 6.2.4.1 and 6.2.4.2) the best side-effects profile for that patient (Table 6.2.4.2 and 6.2.4.3) using combinations of drugs with different therapeutic targets and mechanisms of action (Table 6.2.4.3 and 6.2.4.4) careful consideration of potential advantageous pharmacodynamic interactions and disadvantageous pharmacokinetic drug-drug interactions that need to be avoided or anticipated.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Mouhamed Alsaqati ◽  
Vivi M. Heine ◽  
Adrian J. Harwood

Abstract Background Tuberous sclerosis complex (TSC) is a rare genetic multisystemic disorder resulting from autosomal dominant mutations in the TSC1 or TSC2 genes. It is characterised by hyperactivation of the mechanistic target of rapamycin complex 1 (mTORC1) pathway and has severe neurodevelopmental and neurological components including autism, intellectual disability and epilepsy. In human and rodent models, loss of the TSC proteins causes neuronal hyperexcitability and synaptic dysfunction, although the consequences of these changes for the developing central nervous system are currently unclear. Methods Here we apply multi-electrode array-based assays to study the effects of TSC2 loss on neuronal network activity using autism spectrum disorder (ASD) patient-derived iPSCs. We examine both temporal synchronisation of neuronal bursting and spatial connectivity between electrodes across the network. Results We find that ASD patient-derived neurons with a functional loss of TSC2, in addition to possessing neuronal hyperactivity, develop a dysfunctional neuronal network with reduced synchronisation of neuronal bursting and lower spatial connectivity. These deficits of network function are associated with elevated expression of genes for inhibitory GABA signalling and glutamate signalling, indicating a potential abnormality of synaptic inhibitory–excitatory signalling. mTORC1 activity functions within a homeostatic triad of protein kinases, mTOR, AMP-dependent protein Kinase 1 (AMPK) and Unc-51 like Autophagy Activating Kinase 1 (ULK1) that orchestrate the interplay of anabolic cell growth and catabolic autophagy while balancing energy and nutrient homeostasis. The mTOR inhibitor rapamycin suppresses neuronal hyperactivity, but does not increase synchronised network activity, whereas activation of AMPK restores some aspects of network activity. In contrast, the ULK1 activator, LYN-1604, increases the network behaviour, shortens the network burst lengths and reduces the number of uncorrelated spikes. Limitations Although a robust and consistent phenotype is observed across multiple independent iPSC cultures, the results are based on one patient. There may be more subtle differences between patients with different TSC2 mutations or differences of polygenic background within their genomes. This may affect the severity of the network deficit or the pharmacological response between TSC2 patients. Conclusions Our observations suggest that there is a reduction in the network connectivity of the in vitro neuronal network associated with ASD patients with TSC2 mutation, which may arise via an excitatory/inhibitory imbalance due to increased GABA-signalling at inhibitory synapses. This abnormality can be effectively suppressed via activation of ULK1.


2020 ◽  
Vol 46 (5) ◽  
pp. 1038-1044 ◽  
Author(s):  
Thomas Ward ◽  
Mar Rus-Calafell ◽  
Zeyana Ramadhan ◽  
Olga Soumelidou ◽  
Miriam Fornells-Ambrojo ◽  
...  

Abstract AVATAR therapy represents an effective new way of working with distressing voices based on face-to-face dialogue between the person and a digital representation (avatar) of their persecutory voice. To date, there has been no complete account of AVATAR therapy delivery. This article presents, for the first time, the full range of therapeutic targets along with information on acceptability and potential side effects. Interest in the approach is growing rapidly and this report acts as a necessary touchstone for future development.


2017 ◽  
Vol 41 (S1) ◽  
pp. S752-S752
Author(s):  
C. Ferreira ◽  
S. Alves ◽  
C. Oliveira ◽  
M.J. Avelino

IntroductionAnti-psychotics constitute a class of psychotropic drugs used for the treatment and prophylaxis of several disorders, including schizophrenia, bipolar disorder and psychotic depression. Frequently, clinicians are asked by their patients to withdraw this medication. In some cases, that may be related to notable side effects. However, it may actually indicate an inadequate control of the psychiatric disorder with poor insight.AimsThe goal of this work is to systematically review the scientific literature in order to understand if there are consistent data that support anti-psychotics withdraw in specific clinical situations.MethodsThe literature was reviewed by online searching using PubMed®. The authors selected scientific papers with the words “anti-psychotics” and “withdraw” in the title and/or abstract, published in English.Results and discussionAnti-psychotics improve prognosis and enhance patients’ quality of life. There are few data in the literature regarding recommendations that support anti-psychotic withdraw in psychiatric patients. Very specific conditions must exist for withdrawing anti-psychotics, like neuroleptic malignant syndrome, cardiac side effects, and change of diagnosis or prolonged remission after a first and single psychotic event. When that decision is made, it should be done slowly and carefully and both the patient and his family should be involved.ConclusionsThere is no evidence in the literature that supports withdraw of anti-psychotics for the majority of psychiatric situations. When specific conditions are present that possibility must then be considered, however, with careful consideration and after discussion with the patient and parties involved in patient's care.Disclosure of interestThe authors have not supplied their declaration of competing interest.


Author(s):  
Chengcheng Huang ◽  
Alexandre Pouget ◽  
Brent Doiron

AbstractHow neuronal variability impacts neuronal codes is a central question in systems neuroscience, often with complex and model dependent answers. Most population models are parametric, with a tacitly assumed structure of neuronal tuning and population-wide variability. While these models provide key insights, they purposely divorce any mechanistic relationship between trial average and trial variable neuronal activity. By contrast, circuit based models produce activity with response statistics that are reflection of the underlying circuit structure, and thus any relations between trial averaged and trial variable activity are emergent rather than assumed. In this work, we study information transfer in networks of spatially ordered spiking neuron models with strong excitatory and inhibitory interactions, capable of producing rich population-wide neuronal variability. Motivated by work in the visual system we embed a columnar stimulus orientation map in the network and measure the population estimation of an orientated input. We show that the spatial structure of feedforward and recurrent connectivity are critical determinants for population code performance. In particular, when network wiring supports stable firing rate activity then with a sufficiently large number of decoded neurons all available stimulus information is transmitted. However, if the inhibitory projections place network activity in a pattern forming regime then the population-wide dynamics compromise information flow. In total, network connectivity determines both the stimulus tuning as well as internally generated population-wide fluctuations and thereby dictates population code performance in complicated ways where modeling efforts provide essential understanding.


2020 ◽  
Author(s):  
Xiaxia Xu ◽  
Lingzhen Song ◽  
Ileana L. Hanganu-Opatz

AbstractDisrupted-in-Schizophrenia 1 (DISC1) gene represents an intracellular hub of developmental processes and has been related to cognitive dysfunction in psychiatric disorders. Mice with whole-brain DISC1 knock-down show memory and executive deficits as result of impaired prefrontal-hippocampal communication throughout development, especially when combined with early environmental stressors, such as maternal immune activation (MIA). While synaptic dysfunction of layer 2/3 pyramidal neurons in neonatal prefrontal cortex (PFC) has been recently identified as one source of abnormal long-range coupling in these mice, it is still unclear whether the hippocampus (HP) is also compromised during development. Here we aim to fill this knowledge gap by combining in vivo electrophysiology and optogenetics with morphological and behavioral assessment of immune-challenged mice with DISC1 knock-down either in the whole brain (GE) or restricted to pyramidal neurons in CA1 area of intermediate/ventral HP (i/vHP) (GHPE). Both groups of mice show abnormal network activity, sharp-waves (SPWs) and neuronal firing in CA1 area. Moreover, optogenetic stimulation of CA1 pyramidal neurons fails to activate the local circuits in the neonatal PFC. These deficits that persist until pre-juvenile development are due to dendrite sparsification and loss of spines of CA1 pyramidal neurons. As a long-term consequence, DISC1 knock-down in immune-challenged mice leads to poorer recognition memory at pre-juvenile age. Thus, besides PFC, hippocampal CA1 area has a critical role for the developmental miswiring and long-lasting cognitive impairment related to mental illness.Significance StatementDevelopmental miswiring within prefrontal-hippocampal networks has been proposed to account for cognitive impairment in mental disorders. Indeed, during development, long before the emergence of cognitive deficits, the functional coupling within these networks is reduced in mouse models of disease. However, the cellular mechanisms of dysfunction are largely unknown. Here we combine in vivo electrophysiology and optogenetics with behavioral assessment in immune-challenged mice with hippocampus-confined DISC1 knock-down and show that pyramidal neurons in CA1 area are critical for the developmental dysfunction of prefrontal-hippocampal communication and cognitive impairment.


2020 ◽  
Author(s):  
Mouhamed Alsaqati ◽  
Vivi M Heine ◽  
Adrian J. Harwood

Abstract Background Tuberous sclerosis complex (TSC) is a rare genetic multisystemic disorder resulting from autosomal dominant mutations in the TSC1 or TSC2 genes. It is characterised by hyperactivation of the mechanistic target of rapamycin complex 1 (mTORC1) pathway and has severe neurodevelopmental and neurological components including autism, intellectual disability and epilepsy. In human and rodent models, loss of the TSC proteins causes neuronal hyperexcitability and synaptic dysfunction, although the consequences of these changes for the developing central nervous system is currently unclear.MethodsHere we apply Multi-electrode array (MEA)-based assays to study the effects of TSC2 loss on neuronal network activity using Autism Spectrum Disorder (ASD) patient-derived iPSCs. We examine both temporal synchronisation of neuronal bursting, and spatial connectivity between electrodes across the network. Results We find that ASD patient-derived neurons with a functional loss of TSC2, in addition to possessing neuronal hyperactivity, develop a dysfunctional neuronal network with reduced synchronisation of neuronal bursting and lower spatial connectivity. These deficits of network function are associated with elevated expression of genes for inhibitory GABA signalling and glutamate signalling, indicating a potential abnormality of synaptic inhibitory-excitatory signalling. mTORC1 activity functions within a homeostatic triad of protein kinases, mTOR, AMP-dependent protein Kinase 1 (AMPK), and Unc-51 like Autophagy Activating Kinase 1 (ULK1) that orchestrate the interplay of anabolic cell growth and catabolic autophagy while balancing energy and nutrient homeostasis. The mTOR inhibitor rapamycin suppresses neuronal hyperactivity, but does not increase synchronised network activity, whereas activation of AMPK restores some aspects of network activity. In contrast, the ULK1 activator, LYN-1604 increases the network behaviour, shortens the network burst lengths, and reduces the number of uncorrelated spikes.LimitationsAlthough a robust and consistent phenotype is observed across multiple independent iPSC cultures, the results are based on one patient. There may be more subtle differences between patients with different TSC2 mutations or differences of polygenic background within their genomes. This may affect the severity of the network deficit or the pharmacological response between TSC2 patients.ConclusionsOur observations suggest that there is a reduction in the network connectivity of the in vitro neuronal network associated with ASD patients with TSC2 mutation, which may arise via an excitatory/inhibitory imbalance due to increased GABA-signalling at inhibitory synapses. This abnormality can be effectively suppressed via activation of ULK1.


2021 ◽  
Author(s):  
Josef Faller ◽  
Andrew Goldman ◽  
Yida Lin ◽  
James R. McIntosh ◽  
Paul Sajda

AbstractMusical improvisers are trained to categorize certain musical structures into functional classes, which is thought to facilitate improvisation. Using a novel auditory oddball paradigm (Goldman et al., 2020) which enables us to disassociate a deviant (i.e. musical cord inversion) from a consistent functional class, we recorded scalp EEG from a group of musicians who spanned a range of improvisational and classically trained experience. Using a spatiospectral based inter and intra network connectivity analysis, we found that improvisers showed a variety of differences in connectivity within and between large-scale cortical networks compared to classically trained musicians, as a function of deviant type. Inter-network connectivity in the alpha band, for a time window leading up to the behavioural response, was strongly linked to improvisation experience, with the default mode network acting as a hub. Spatiospectral networks post response were substantially different between improvisers and classically trained musicians, with greater inter-network connectivity (specific to the alpha and beta bands) seen in improvisers whereas those with more classical training had largely reduced inter-network activity (mostly in the gamma band). More generally, we interpret our findings in the context of network-level correlates of expectation violation as a function of subject expertise, and we discuss how these may generalize to other and more ecologically valid scenarios.


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