Exploration of Neuroprotective Therapy

Special Issue Topic

New Advances in Imaging Techniques for the Evaluation of Neurological Disorders

Submission Deadline: June 30, 2023

Guest Editor

Prof. Valery V. Tuchin E-Mail

Institute of Physics and Science Medical Center, Saratov State University, Saratov, Russia; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia; А.N. Bach Institute of Biochemistry, FRC “Fundamentals of Biotechnology”, Moscow, Russia

Research Keywords: tissue imaging; brain optics; multimodal brain research; lymphatic drainage; blood oxygen saturation; cerebral fluid dynamics; speckle-correlation techniques; terahertz dielectric spectroscopy and microscopy; laser induced breakdown spectroscopy; blood-brain barrier; PDT; phototherapy; gliomas; hemorrhagic stroke; Alzheimer’s disease

About the Special Issue

This special issue will present advanced methods for evaluating structural, biochemical, or electrical abnormalities in the brain, spinal cord, or other nerves leading to a range of symptoms characteristic for various neurological disorders.
Functional and molecular tomography of the brain using CT, MRI and optical method is of great importance in terms of multimodal study of a number of neurological disorders. The combination of these approaches with various probes and nanostructures opens up new possibilities for the development of the theranostics paradigm in the treatment of pathologies of the brain and other neurological tissues. The in vivo use of biocompatible cranial implants, combined optical clearing/molecular contrast techniques, optogenetic approaches, functional multimodal imaging and laser brain stimulation methods all require further development.
The topics of interest for this special issue are:
1. Novelties and advances in instrumentation
(1) CT scanning
(2) MRI
(3) Electroencephalogram (EEG)
(4) Electrodiagnostic tests: electromyography (EMG), nerve conduction velocity (NCV)
(5) Positron emission tomography (PET)
(6) Optical imaging
(7) Angiography and lymphography
2. Novelties and advances in neurological diseases diagnostics, monitoring and treatment
(1) Brain tumors
(2) Stroke
(3) Amyotrophic lateral sclerosis (ALS)
(4) Cerebral aneurysm
(5) Epilepsy and seizures
(6) Acute spinal cord injury
(7) Ataxia
(8) Brain hematomas
(9) Alzheimer's disease and dementia
(10) Parkinson's disease
(11) Headaches
(12) Bell's palsy

Keywords: imaging of neurological tissues (CT, MRI, PET, US, optical); multimodal brain research (CT, MRI, PET, US, optical, EEG, EMG, NCV); neurological disorders; structural, biochemical, and electrical abnormalities in the brain, spinal cord, and nerves; blood oxygen saturation; cerebral fluid dynamics; blood-brain barrier; PDT; phototherapy; gliomas; hemorrhagic stroke; Alzheimer’s disease; Parkinson's disease

Call for Papers

Published Articles

Open Access

Original Article

Minimum spanning tree analysis for epilepsy magnetoencephalography (MEG) data
Aim: Recently, brain network research is actively conducted through the application of graph theory. However, comparison between brain networks is subject to bias issues due to topological charac [...] Read more.

Aim:

Recently, brain network research is actively conducted through the application of graph theory. However, comparison between brain networks is subject to bias issues due to topological characteristics and heterogeneity across subjects. The minimum spanning tree (MST) is a method that is increasingly applied to overcome the thresholding problem. In this study, the aim is to use the MST analysis in comparing epilepsy patients and controls to find the differences between groups.

Methods:

The MST combines entities for epileptic magnetoencephalography (MEG) data. The MST was applied and compared to 21 left surgery (LT) and 21 right surgery (RT) patients with epilepsy and good postoperative prognosis and a healthy control (HC) group. MST metrics such as betweenness centrality, eccentricity, diameter, and leaf fraction, are computed and compared to describe the integration and efficiency of the network. The MST analysis is applied to each subject, and then the integrated MST is obtained using the distance concept. This approach can be advantageous when comparing the topological structure of patients to controls with the same number of nodes.

Results:

The HC group showed less topological change and more network efficiency than the epilepsy LT and RT groups. In addition, the posterior cingulate gyrus was found as a hub node only in the patient group in individual and integrated subject data analysis.

Conclusions:

This study suggests propose that the hippocampus borrows from the default network when one side fails, compensating for the weakened function.

Sunhan Shin ... Jaehee Kim

Published: December 13, 2023 Explor Neuroprot Ther. 2023;3:446–456
DOI: https://doi.org/10.37349/ent.2023.00061

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Aim:

Recently, brain network research is actively conducted through the application of graph theory. However, comparison between brain networks is subject to bias issues due to topological characteristics and heterogeneity across subjects. The minimum spanning tree (MST) is a method that is increasingly applied to overcome the thresholding problem. In this study, the aim is to use the MST analysis in comparing epilepsy patients and controls to find the differences between groups.

Methods:

The MST combines entities for epileptic magnetoencephalography (MEG) data. The MST was applied and compared to 21 left surgery (LT) and 21 right surgery (RT) patients with epilepsy and good postoperative prognosis and a healthy control (HC) group. MST metrics such as betweenness centrality, eccentricity, diameter, and leaf fraction, are computed and compared to describe the integration and efficiency of the network. The MST analysis is applied to each subject, and then the integrated MST is obtained using the distance concept. This approach can be advantageous when comparing the topological structure of patients to controls with the same number of nodes.

Results:

The HC group showed less topological change and more network efficiency than the epilepsy LT and RT groups. In addition, the posterior cingulate gyrus was found as a hub node only in the patient group in individual and integrated subject data analysis.

Conclusions:

This study suggests propose that the hippocampus borrows from the default network when one side fails, compensating for the weakened function.

Guest Editor

About the Special Issue

Call for Papers

Published Articles

Aim:

Methods:

Results:

Conclusions:

Aim:

Methods:

Results:

Conclusions: