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

Physical and Chemical Properties of Matter

Physical and Chemical Properties of Matter

The characteristics that enable us to distinguish one substance from another are called properties.

Physical Pendulum

Physical Pendulum

When a rigid body is hanging freely from a fixed pivot point and is displaced, it oscillates similar to a simple pendulum and is known as a physical pendulum. The period and angular frequency of a physical pendulum are obtained by using the small-angle approximation and drawing parallels with a spring-mass system. The small-angle approximation (sinθ=θ) is valid up to about 14°.
When dealing with complicated systems, the mass moment of inertia is an important parameter, as it...

The Scope of Physics

The Scope of Physics

Physics is concerned with the interactions of energy, matter, space, and time, in order to discover the underlying mechanisms that underpin all phenomena. The word "physics" comes from the Greek word "phúsis", which means nature. Physics seeks to comprehend the natural world around us at its most fundamental level. It emphasizes the use of quantitative laws to do this, which could be valuable in other fields that want to push the performance boundaries of present...

Solving Problems in Physics

Solving Problems in Physics

Problem-solving is the ability to apply general physical principles to specific situations, usually expressed by equations. It is an essential skill in physics, and can also be useful for applying physics in everyday life as well. Analytical skills and problem-solving abilities can be applied to new situations, compared to a list of facts, which can never be extensive enough to include every possible circumstance. To solve physics problems, a certain amount of creativity and insight is...

Estimation of the Physical Quantities

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...

Physical Properties of Amines

Physical Properties of Amines

Amines with low molecular weight are usually gaseous at room temperature, while those with high molecular weight are liquid or solids in nature. Usually, low molecular weight amines have a rotten fish-like smell. Diamines typically have a pungent smell. For instance, cadaverine and putrescine, depicted in Figure 1, are two molecules responsible for decaying tissue.

You might also read

Related Articles

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

Sort by

Same author

Exploring farmers' perceptions of the value and management of dairy-bred calves in block calving dairy systems.

Journal of dairy science·2026

Same author

Neural field modeling and analysis of consciousness states in the brain.

Neuroscience of consciousness·2025

Same author

Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes.

Imaging neuroscience (Cambridge, Mass.)·2025

Same author

Empirical estimation of the eigenmodes of macroscale cortical dynamics: Reconciling neural field eigenmodes and resting-state networks.

Neuroimage. Reports·2025

Same author

Electrical circuit model of spatiotemporal trade dynamics: Foundations and derivation of the gravity model.

PloS one·2025

Same author

Unification of alpha, mu, and tau rhythms and their beta-band harmonics via eigenmodes: spectral peaks, topography, and reactivity.

Journal of theoretical biology·2025

Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026

Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026

Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026

Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026

Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026

Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 29, 2026

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Published on: June 20, 2025

Physical brain connectomics.

¹School of Physics, University of Sydney, Sydney, New South Wales 2006, Australia and Center for Integrative Brain Function, University of Sydney, Sydney, New South Wales 2006, Australia.

Physical Review. E

|February 21, 2019

Summary

This summary is machine-generated.

This study introduces a physics-based approach to analyze brain connectivity, moving beyond traditional graph methods. It reveals how physical structure and geometry significantly influence brain properties, offering a more accurate understanding of neural networks.

More Related Videos

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy

Published on: April 21, 2014

High Resolution Physical Characterization of Single Metallic Nanoparticles

High Resolution Physical Characterization of Single Metallic Nanoparticles

Published on: June 28, 2019

Related Experiment Videos

Last Updated: Jan 29, 2026

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Published on: June 20, 2025

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy

Published on: April 21, 2014

High Resolution Physical Characterization of Single Metallic Nanoparticles

High Resolution Physical Characterization of Single Metallic Nanoparticles

Published on: June 28, 2019

Area of Science:

Neuroscience
Physics
Computational Biology

Background:

Traditional brain connectivity analysis often overlooks physical structure and geometry.
Graph-theoretic and statistical methods can introduce artifacts due to discretization and thresholding.

Purpose of the Study:

To develop a physics-based framework for analyzing brain connectivity and structure-function relationships.
To introduce physically accurate measures that overcome limitations of current graph-based approaches.

Main Methods:

Utilized field theory to define connectivity tensors using bare and dressed propagators.
Implemented discretized representations respecting physical nature, dimensionality, and continuum limits.
Employed eigenfunction analysis for characterizing brain connectivity and activity patterns.

Main Results:

Developed physically based connectivity measures in coordinate and spectral domains.
Demonstrated that traditional graph measures are prone to discretization and thresholding artifacts.
Showcased that geometric effects significantly impact brain properties, distinct from intrinsic connectivity.

Conclusions:

Advocates for systematic physical methods in brain analysis for accurate insights.
Physical approaches can yield new predictions and move beyond phenomenological classification to mechanisms.
Correctly implemented physical methods provide insights into brain structure, not just its discretization.