Skip to main content

Or 34,00 After 66% tax deduction

I make a monthly donation I make an IFI donation
Imagerie médicale

Brain scanning methods

Seeing the brain to better understand it

Last update: 16/06/2025 Reading time: 1min

Scientists have access to several brain scanning methods to better understand the brain and how it works. Here we provide an overview of the techniques used at Paris Brain Institute.

Electrophysiology

Electrophysiology

Electrophysiology records the electrical signals (nerve impulses or action potential) emitted by neurons to communicate with each other. It is essential that we understand how the brain works under normal conditions, to understand and better treat impaired functions in nervous system disorders and also to preserve the brain in its normal state. The electrical signal transmitted by each neuron after activation is a key component of brain activity that is altered in neurological and psychiatric diseases, and is often the cause of the deficits observed.

Disruptions to action potentials are, for example, the ‘starting point’ for epilepsy. At Paris Brain Institute, there is specific research to investigate extreme brain conditions that exhibit continuous and abnormal electrical activities.

Neuroimaging

Neuroimaging

Because of advances in neuroimaging in recent decades, there has been a significant increase in knowledge about anatomy and how the nervous system works. Neuroimaging techniques can be grouped into two main categories:

  • Neurophysiology techniques based on measuring the electrical or magnetic activity of brain cells, such as electroencephalography (EEG) and magnetoencephalography (MEG).
  • Techniques that indirectly measure changes in brain activity through changes in brain perfusion or by injecting radioactive molecules, such as magnetic resonance imaging (MRI) and positron emission tomography (PET).

Neuroimaging research at Paris Brain Institute focuses on three main areas:

  • Clinical research: studying major diseases of the nervous system and developing innovative treatments;
  • Cognitive science research: understanding how the brain works and studying the neural bases for thought, behavior and aging;
  • Signal and image processing research: developing new methods for acquiring and processing brain activity and imaging data.
Illustration plateformes
Medical neuroimaging

Magnetoencephalography

Molecular and cellular techniques

Molecular and cellular techniques

Molecular and cellular techniques are used to understand the genetic, molecular and cellular bases of central nervous system development and function, and central nervous system disorders. These include:

  • Genetic sequencing. This means reading the long DNA molecules that form chromosomes. This reading makes it possible to analyze the genome, detect any gene mutations and identify possible links between these mutations and the emergence of neurological diseases.
  • Cellular investigations, by establishing easily manipulable cell cultures to create a simplified reproduction of the mechanisms of nervous system conditions. This work requires the activity of neuronal cells to be recorded, to identify any anomalies in the transmission of the electrical signal, and to manipulate ‘stem’ cells that become pluripotent to produce authentic nerve or glial cells. When examining function or impaired function of the brain as a whole, histology techniques on sections of tissue can evaluate the integrity of neuron and glial cell populations within different regions of the brain.The structures of the brain can also be visualized in 3D, on brain tissue made transparent through a technique known as CLARITY imaging.
  • Cell imaging, to observe molecules, cells and tissue sections, cellular movements or even compartments within cells at microscopic scale (organelles, viruses, crystals, molecules).
AI-driven brain research

AI-driven brain research

Paris Brain Institute is working on the development of new mathematical and computational approaches to studying the structure of the human brain and its functional networks. Transforming raw imaging data into formalized models such as geometric models of brain structure, statistical models of populations and connectivity graphs is now essential to defining new biomarkers of disease, studying the correlations between genetics and symptoms, and identifying the functional responses of the brain.

News that might interest you

Le cortex moteur
Origin of Lance-Adams Syndrome Finally Elucidated
First described 60 years ago, chronic myoclonus following cerebral anoxia is now known as Lance-Adams syndrome. This is a severe disorder whose mechanisms were, until now, poorly understood. Geoffroy Vellieux, Vincent Navarro, and their colleagues at...
06.16.2025 Research, science & health
Tiré de New Theory of Colours de Mary Gartside, 1808
Aphantasia Might Be Linked to Alterations in Brain Connectivity
Thanks to 7T fMRI, researchers from Paris Brain Institute and NeuroSpin, the CEA's neuroimaging centre, are exploring the neural substrate of visual imagery at very high resolution for the first time. Their results, publiés [i] in Cortex, pave the...
06.06.2025 Research, science & health
Le développement du cerveau a une part d’aléatoire
The stochastic aspect of brain development
Although every person’s personality is the result of genetic and environmental factors, these are not the only factors at play. Bassem Hassan and his team at Paris Brain Institute have discovered that, in fruit flies (drosophila), individuality also...
05.12.2025 Research, science & health
Analyse MERSCOPE
New treatment pathways for brain malformation-linked focal epilepsy?
A study by Stéphanie Baulac’s team has revealed somatic mutations in different cell types in patients with type 2 focal cortical dysplasia. This disease causes drug-resistant epileptic seizures, for which the main treatment option is currently...
05.12.2025 Research, science & health
Un iceberg
The ICEBERG cohort, 10 years of collective scientific and medical mobilization
The ICEBERG cohort, initiated 10 years ago, is interested in studying factors predictive of the onset and progression of Parkinson’s disease.
05.15.2025 Research, science & health
La huntingtine est une protéine indispensable au développement embryonnaire, à la formation et au maintien du tissu cérébral.
Huntington's Disease: The Energy Hypothesis Gets Traction
Huntington's disease, a rare hereditary neurological disorder, is associated with an energy deficit that precedes the onset of symptoms and is closely linked to their progression. At Paris Brain Institute, Fanny Mochel and her colleagues are testing...
02.11.2025 Research, science & health
See all our news