» Articles » PMID: 31401492

Methods for Analysis of Brain Connectivity: An IFCN-sponsored Review

Overview
Publisher Elsevier
Specialties Neurology
Psychiatry
Date 2019 Aug 12
PMID 31401492
Citations 53
Authors
Affiliations
Soon will be listed here.
Abstract

The goal of this paper is to examine existing methods to study the "Human Brain Connectome" with a specific focus on the neurophysiological ones. In recent years, a new approach has been developed to evaluate the anatomical and functional organization of the human brain: the aim of this promising multimodality effort is to identify and classify neuronal networks with a number of neurobiologically meaningful and easily computable measures to create its connectome. By defining anatomical and functional connections of brain regions on the same map through an integrated approach, comprising both modern neurophysiological and neuroimaging (i.e. flow/metabolic) brain-mapping techniques, network analysis becomes a powerful tool for exploring structural-functional connectivity mechanisms and for revealing etiological relationships that link connectivity abnormalities to neuropsychiatric disorders. Following a recent IFCN-endorsed meeting, a panel of international experts was selected to produce this current state-of-art document, which covers the available knowledge on anatomical and functional connectivity, including the most commonly used structural and functional MRI, EEG, MEG and non-invasive brain stimulation techniques and measures of local and global brain connectivity.

Citing Articles

Application of Transfer Entropy Measure to Characterize Environmental Sounds in Urban and Wild Parks.

Benocci R, Guagliumi G, Potenza A, Zaffaroni-Caorsi V, Roman H, Zambon G Sensors (Basel). 2025; 25(4).

PMID: 40006274 PMC: 11859987. DOI: 10.3390/s25041046.


Brain analysis to approach human muscles synergy using deep learning.

Samadi E, Rahatabad F, Nasrabadi A, Dabanlou N Cogn Neurodyn. 2025; 19(1):44.

PMID: 39996071 PMC: 11846801. DOI: 10.1007/s11571-025-10228-y.


Electrophysiological Alterations in the Progression of Parkinson's Disease and the Therapeutic Effect of Tetrabenazine on Rats With Levodopa-Induced Dyskinesia.

Bi Y, Wang P, Li M, Wang Z, Lv S, Yang Y CNS Neurosci Ther. 2025; 31(2):e70250.

PMID: 39912385 PMC: 11799927. DOI: 10.1111/cns.70250.


Non-invasive brain stimulation in cognitive sciences and Alzheimer's disease.

Carrarini C, Pappalettera C, Le Pera D, Rossini P Front Hum Neurosci. 2025; 18:1500502.

PMID: 39877800 PMC: 11772349. DOI: 10.3389/fnhum.2024.1500502.


Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions.

Mohammadi H, Karwowski W Brain Sci. 2025; 15(1).

PMID: 39851385 PMC: 11763835. DOI: 10.3390/brainsci15010017.