Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Predictive factors for time to full enteral feeding after pyloromyotomy for infantile hypertrophic pyloric stenosis.

World journal of pediatric surgery·2022

Same author

Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding.

Nature communications·2022

Same author

Multichannel optogenetics combined with laminar recordings for ultra-controlled neuronal interrogation.

Nature communications·2022

Same author

Distinct dynamics of neuronal activity during concurrent motor planning and execution.

Nature communications·2021

Same author

A starting kit for training and establishing in vivo electrophysiology, intracranial pharmacology, and optogenetics.

Journal of neuroscience methods·2020

Same author

Diagnostic Accuracy of History and Physical Examination for Predicting Major Adverse Cardiac Events Within 30 Days in Patients With Acute Chest Pain.

The Journal of emergency medicine·2019

Same journal

Respiration-coordinated attentional switch from feedforward to top-down informational flow directed by the basal forebrain: layer-specific blanket inhibition of pyramidal cells by neurogliaform cells in the piriform cortex.

Frontiers in neural circuits·2026

Same journal

Altered structural connectivity in white matter lesion-induced mild cognitive impairment: a probabilistic fiber tracking and graph theory analysis.

Frontiers in neural circuits·2026

Same journal

Developmental trajectories of vocal behaviors in common marmosets as a reference framework for neurobehavioral studies.

Frontiers in neural circuits·2026

Same journal

Fleeing is believing: adaptive behavior under social threat as an inference process.

Frontiers in neural circuits·2026

Same journal

A modular and flexible pipeline for intraoperative electrode reconstruction and localization in patients with brain lesions.

Frontiers in neural circuits·2026

Same journal

Functional implications of atypical action potential generation in the (patho)physiological brain: from developmental program to glioma.

Frontiers in neural circuits·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 9, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Estimating Fast Neural Input Using Anatomical and Functional Connectivity.

David Eriksson¹

¹Center for Neuroscience, Albert Ludwig University of FreiburgFreiburg, Germany; BrainLinks-BrainTools, Albert Ludwig University of FreiburgFreiburg, Germany.

Frontiers in Neural Circuits

|January 10, 2017

Summary

This summary is machine-generated.

Researchers reviewed methods for identifying neuronal connections and signals. New techniques allow precise control of neuronal populations by matching measurement and perturbation methods for accurate brain signal analysis.

Keywords:

anatomical connectivity contextual signaling functional connectivity neural circuits perturbation

More Related Videos

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Related Experiment Videos

Last Updated: Mar 9, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

There has been a growing interest in understanding neuronal communication and brain connectivity over the past two decades.
Numerous novel methods have emerged for measuring signals exchanged between neurons and brain regions.

Purpose of the Study:

To review diverse methods for identifying anatomically and functionally connected neurons.
To discuss how neuronal signals are represented by activity in connected neurons or synapses.
To explore the matching of signal measurement and perturbation techniques for precise neuronal input control.

Main Methods:

Anatomical identification via axon tracing.
Functional identification through correlated neuronal activity.
Comparison of selective versus unselective recording and optogenetic perturbation.

Main Results:

Methods vary in signal measurement accuracy and the type of signal detected.
Unselective recording captures indirect pathways, while selective recording focuses on direct projections.
Matching measurement and perturbation methods enables exact control over neuronal population inputs.

Conclusions:

A range of techniques exist for mapping neuronal connectivity and signals.
The choice of method impacts the interpretation of measured signals and pathways.
Precise input control of neuronal populations is achievable by aligning measurement and perturbation strategies.