Monitoring the Right Collection: The Central Cholinergic Neurons as an Instructive Example

Sviatkó, Katalin; Hangya, Balázs

doi:10.3389/fncir.2017.00031

Cited by 9 publications

(12 citation statements)

References 70 publications

(87 reference statements)

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“…One example is the emergence and spread of rodent VR navigation systems in recent years (Aronov & Tank, ; Kaupert et al., ; Leinweber, Ward, Sobczak, Attinger, & Keller, ) allowing complicated navigation tasks. This also provides a segue to another important issue: mechanistic insight often emerges from probing the activity of neurons under different conditions (Sviatkó & Hangya, ), which type of studies have been scarce with respect to cholinergic control of spatial learning, memory and navigation. Head‐fixed VR navigation studies provide a new avenue in this direction, rendering cortical and hippocampal activity accessible for in vivo Ca‐imaging (Bittner et al., ; Danielson et al., ) and intracellular recordings (Harvey, Collman, Dombeck, & Tank, ).…”

Section: Discussionmentioning

confidence: 99%

Cholinergic modulation of spatial learning, memory and navigation

Solari

Hangya

2018

Eur J of Neuroscience

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111

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Spatial learning, including encoding and retrieval of spatial memories as well as holding spatial information in working memory generally serving navigation under a broad range of circumstances, relies on a network of structures. While central to this network are medial temporal lobe structures with a widely appreciated crucial function of the hippocampus, neocortical areas such as the posterior parietal cortex and the retrosplenial cortex also play essential roles. Since the hippocampus receives its main subcortical input from the medial septum of the basal forebrain (BF) cholinergic system, it is not surprising that the potential role of the septo‐hippocampal pathway in spatial navigation has been investigated in many studies. Much less is known of the involvement in spatial cognition of the parallel projection system linking the posterior BF with neocortical areas. Here we review the current state of the art of the division of labour within this complex ‘navigation system’, with special focus on how subcortical cholinergic inputs may regulate various aspects of spatial learning, memory and navigation.

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Section: Discussionmentioning

confidence: 99%

Cholinergic modulation of spatial learning, memory and navigation

Solari

Hangya

2018

Eur J of Neuroscience

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111

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“…In neuroscience, many of the key insights were gained by recording the electrical activity of neurons (Sviatkó and Hangya, 2017). An instructive example was the mapping of basal ganglia neurons while monkeys were engaged in a variety of behavioral tasks (DeLong, 1971;DeLong et al, 1984).…”

Section: Application: Real-time In Vivo Cell Type Identificationmentioning

confidence: 99%

“…Eventually, these results lead to the Deep Brain Stimulation surgeries during which stimulating electrodes are lowered to the subthalamic nucleus of the basal ganglia in Parkinson's patients, largely alleviating their otherwise often crippling motor impairments. However, the lack of proper tools to identify the great diversity of anatomically, histochemically and hodologically defined cell types of the basal ganglia in vivo stalled further progress (Sviatkó and Hangya, 2017).…”

Section: Application: Real-time In Vivo Cell Type Identificationmentioning

confidence: 99%

“…Neurons are diverse, often referred to as a "zoo." They are categorized based on their axon, dendrite, soma morphology and connectivity ("m-types"); based on their electrophysiological signatures and activity patterns ("e-types"); and based on their expression of neurotransmitters, neuropeptides, calcium-binding proteins, ion channels and other markers (transcriptomic cell types) (Ascoli et al, 2008;Klausberger and Somogyi, 2008;Sviatkó and Hangya, 2017;Harris et al, 2018;Gouwens et al, 2019). Electrophysiology studies often seek correlations between m-, e-, and genetic types, however, this endeavor is hampered by a paucity of tools that can establish links among these properties, especially during the experiment itself when such tools would be the most useful.…”

Section: Introductionmentioning

confidence: 99%

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OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys

Széll

Martínez-Bellver

Hegedűs

et al. 2020

Front. Neuroinform.

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Single cell electrophysiology remains one of the most widely used approaches of systems neuroscience. Decisions made by the experimenter during electrophysiology recording largely determine recording quality, duration of the project and value of the collected data. Therefore, online feedback aiding these decisions can lower monetary and time investment, and substantially speed up projects as well as allow novel studies otherwise not possible due to prohibitively low throughput. Real-time feedback is especially important in studies that involve optogenetic cell type identification by enabling a systematic search for neurons of interest. However, such tools are scarce and limited to costly commercial systems with high degree of specialization, which hitherto prevented wide-ranging benefits for the community. To address this, we present an open-source tool that enables online feedback during electrophysiology experiments and provides a Python interface for the widely used Open Ephys open source data acquisition system. Specifically, our software allows flexible online visualization of spike alignment to external events, called the online peri-event time histogram (OPETH). These external events, conveyed by digital logic signals, may indicate photostimulation time stamps for in vivo optogenetic cell type identification or the times of behaviorally relevant events during in vivo behavioral neurophysiology experiments. Therefore, OPETH allows real-time identification of genetically defined neuron types or behaviorally responsive populations. By allowing "hunting" for neurons of interest, OPETH significantly reduces experiment time and thus increases the efficiency of experiments that combine in vivo electrophysiology with behavior or optogenetic tagging of neurons.

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“…The discoveries that amyloid precursor protein (APP), the parent of amyloid beta, attaches microtubule motors to vesicular cargo for axonal transport (Kamal et al, 2000; Satpute-Krishnan et al, 2006; Seamster et al, 2012), and that tau protein binds microtubules and also plays roles in transport, have led to proposals that transport defects accompany AD, either in causative or synergistic ways (Stokin and Goldstein, 2006; Bearer, 2012). Projections from the hippocampus to septal and forebrain structures are involved in cognition, and a site of neurodegeneration in AD (Sviatko and Hangya, 2017).…”

Section: Introductionmentioning

confidence: 99%

Decoupling the Effects of the Amyloid Precursor Protein From Amyloid-β Plaques on Axonal Transport Dynamics in the Living Brain

Medina

Uselman

Barto

et al. 2019

Front. Cell. Neurosci.

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Amyloid precursor protein (APP) is the precursor to Aβ plaques. The cytoplasmic domain of APP mediates attachment of vesicles to molecular motors for axonal transport. In APP-KO mice, transport of Mn2+ is decreased. In old transgenic mice expressing mutated human (APPSwInd) linked to Familial Alzheimer’s Disease, with both expression of APPSwInd and plaques, the rate and destination of Mn2+ axonal transport is altered, as detected by time-lapse manganese-enhanced magnetic resonance imaging (MEMRI) of the brain in living mice. To determine the relative contribution of expression of APPSwInd versus plaque on transport dynamics, we developed a Tet-off system to decouple expression of APPSwInd from plaque, and then studied hippocampal to forebrain transport by MEMRI. Three groups of mice were compared to wild-type (WT): Mice with plaque and APPSwInd expression; mice with plaque but suppression of APPSwInd expression; and mice with APPSwInd suppressed from mating until 2 weeks before imaging with no plaque. MR images were captured before at successive time points after stereotactic injection of Mn2+ (3–5 nL) into CA3 of the hippocampus. Mice were returned to their home cage between imaging sessions so that transport would occur in the awake freely moving animal. Images of multiple mice from the three groups (suppressed or expressed) together with C57/B6J WT were aligned and processed with our automated computational pipeline, and voxel-wise statistical parametric mapping (SPM) performed. At the conclusion of MR imaging, brains were harvested for biochemistry or histopathology. Paired T-tests within-group between time points (p = 0.01 FDR corrected) support the impression that both plaque alone and APPSwInd expression alone alter transport rates and destination of Mn2+ accumulation. Expression of APPSwInd in the absence of plaque or detectable Aβ also resulted in transport defects as well as pathology of hippocampus and medial septum, suggesting two sources of pathology occur in familial Alzheimer’s disease, from toxic mutant protein as well as plaque. Alternatively mice with plaque without APPSwInd expression resemble the human condition of sporadic Alzheimer’s, and had better transport. Thus, these mice with APPSwInd expression suppressed after plaque formation will be most useful in preclinical trials.

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Monitoring the Right Collection: The Central Cholinergic Neurons as an Instructive Example

Cited by 9 publications

References 70 publications

Cholinergic modulation of spatial learning, memory and navigation

Cholinergic modulation of spatial learning, memory and navigation

OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys

Decoupling the Effects of the Amyloid Precursor Protein From Amyloid-β Plaques on Axonal Transport Dynamics in the Living Brain

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