Toolkit/in vivo electrophysiology

in vivo electrophysiology

Assay Method·Research·Since 2021

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

The supplied upstream summary states that the anchor PubMed abstract explicitly lists in vivo electrophysiology as a compatible tool for probing tolerance neurobiology.

Usefulness & Problems

Why this is useful

In vivo electrophysiology is described as a modern tool that can be combined with rapid alcohol tolerance models. In this review context, it serves as a physiological readout for mechanistic studies.; probing neurobiological mechanisms of rapid alcohol tolerance; adding physiological readouts to temporally defined tolerance models; In vivo electrophysiology was used as one of the complementary techniques that identified the APOE4-associated hyperactivity phenotype.; measuring neuronal activity-related phenotypes in aged APOE mice

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In vivo electrophysiology is described as a modern tool that can be combined with rapid alcohol tolerance models. In this review context, it serves as a physiological readout for mechanistic studies.

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probing neurobiological mechanisms of rapid alcohol tolerance

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adding physiological readouts to temporally defined tolerance models

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In vivo electrophysiology was used as one of the complementary techniques that identified the APOE4-associated hyperactivity phenotype.

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measuring neuronal activity-related phenotypes in aged APOE mice

Problem solved

It helps connect alcohol tolerance paradigms to direct neural activity measurements. The review presents it as part of a toolkit for in-depth neurobiological investigation.; provides physiological measurement capability within alcohol tolerance studies; It contributes an in vivo activity measurement modality within the study's multi-technique analysis.; provides an in vivo electrophysiological modality for identifying hyperactivity

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It helps connect alcohol tolerance paradigms to direct neural activity measurements. The review presents it as part of a toolkit for in-depth neurobiological investigation.

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provides physiological measurement capability within alcohol tolerance studies

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It contributes an in vivo activity measurement modality within the study's multi-technique analysis.

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provides an in vivo electrophysiological modality for identifying hyperactivity

Problem links

provides an in vivo electrophysiological modality for identifying hyperactivity

Literature

It contributes an in vivo activity measurement modality within the study's multi-technique analysis.

Source:

It contributes an in vivo activity measurement modality within the study's multi-technique analysis.

provides physiological measurement capability within alcohol tolerance studies

Literature

It helps connect alcohol tolerance paradigms to direct neural activity measurements. The review presents it as part of a toolkit for in-depth neurobiological investigation.

Source:

It helps connect alcohol tolerance paradigms to direct neural activity measurements. The review presents it as part of a toolkit for in-depth neurobiological investigation.

Published Workflows

Objective: Identify and analyze an APOE4-associated neuronal hyperactivity phenotype in aged APOE mice and investigate its inhibitory mechanism.

Why it works: The study uses four complementary techniques to identify the hyperactivity phenotype and then performs further analysis to connect the phenotype to reduced inhibitory tone and reduced responsiveness to GABAergic inputs.

decreased background inhibitionreduced responsiveness of excitatory neurons to GABAergic inhibitory inputsfMRIin vitro electrophysiologyin vivo electrophysiologymetabolomics

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete measurement method used to characterize an engineered system.

Target processes

No target processes tagged yet.

Input: Light

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: payload burdenimplementation constraint: spectral hardware requirementoperating role: sensor

The provided evidence supports only that it must be paired with rapid tolerance paradigms and electrophysiological recording capability. Specific hardware, preparations, and analysis pipelines are not detailed here.; requires a rapid alcohol tolerance model; requires electrophysiology setup and appropriate in vivo assay design

The evidence does not indicate that in vivo electrophysiology alone defines tolerance or captures all addiction-relevant outcomes. It is a compatible readout method rather than a standalone tolerance model.; the provided payload does not specify recording configuration, target regions, or comparative performance

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1tool compatibilitysupports2021Source 1needs review

Rapid alcohol tolerance models are suitable for combination with DREADDs, optogenetics, calcium imaging, and in vivo electrophysiology for in-depth studies.

Approval Evidence

2 sources1 linked approval claimfirst-pass slug in-vivo-electrophysiology
The supplied upstream summary states that the anchor PubMed abstract explicitly lists in vivo electrophysiology as a compatible tool for probing tolerance neurobiology.

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using four complimentary techniques-fMRI, in vitro electrophysiology, in vivo electrophysiology, and metabolomics

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tool compatibilitysupports

Rapid alcohol tolerance models are suitable for combination with DREADDs, optogenetics, calcium imaging, and in vivo electrophysiology for in-depth studies.

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Comparisons

Source-stated alternatives

The same review context also names DREADDs, optogenetics, and calcium imaging.; The abstract contrasts it with fMRI, in vitro electrophysiology, and metabolomics.

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The same review context also names DREADDs, optogenetics, and calcium imaging.

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The abstract contrasts it with fMRI, in vitro electrophysiology, and metabolomics.

Source-backed strengths

explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study

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explicitly identified as compatible with rapid tolerance models

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used as one of four complementary techniques in the study

Compared with Ca2+ imaging

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

Compared with calcium imaging

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

Compared with chemogenetics

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

Compared with designer GPCRs

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

Compared with electrophysiology

The abstract contrasts it with fMRI, in vitro electrophysiology, and metabolomics.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The abstract contrasts it with fMRI, in vitro electrophysiology, and metabolomics.

The abstract contrasts it with fMRI, in vitro electrophysiology, and metabolomics.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The abstract contrasts it with fMRI, in vitro electrophysiology, and metabolomics.

Compared with imaging

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

Compared with imaging surveillance

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

The same review context also names DREADDs, optogenetics, and calcium imaging.

Shared frame: source-stated alternative in extracted literature

Strengths here: explicitly identified as compatible with rapid tolerance models; used as one of four complementary techniques in the study.

Relative tradeoffs: the provided payload does not specify recording configuration, target regions, or comparative performance.

Source:

The same review context also names DREADDs, optogenetics, and calcium imaging.

Ranked Citations

  1. 1.
    StructuralSource 1Pharmacology Biochemistry and Behavior2021Claim 1

    Seeded from load plan for claim clm_2. Extracted from this source document.