scholarly journals In Vitro Assessment Reveals Parameters-Dependent Modulation on Excitability and Functional Connectivity of Cerebellar Slice by Repetitive Transcranial Magnetic Stimulation

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Rongyu Tang ◽  
Guanghao Zhang ◽  
Xiechuan Weng ◽  
Yao Han ◽  
Yiran Lang ◽  
...  
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Functional Connectivity ◽  
Magnetic Stimulation ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
In Vitro Assessment

scholarly journals Repetitive Transcranial Magnetic Stimulation, Cognition, and Multiple Sclerosis: An Overview

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Grigorios Nasios ◽  
Lambros Messinis ◽  
Efthimios Dardiotis ◽  
Panagiotis Papathanasopoulos
Keyword(s):  
Multiple Sclerosis ◽  
Transcranial Magnetic Stimulation ◽  
Functional Connectivity ◽  
Cognitive Rehabilitation ◽  
Magnetic Stimulation ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Cognitively Impaired ◽  
Functional Reorganization ◽  
Brain Volume Loss ◽  
Potential Therapeutic Role

Multiple sclerosis (MS) affects cognition in the majority of patients. A major aspect of the disease is brain volume loss (BVL), present in all phases and types (relapsing and progressive) of the disease and linked to both motor and cognitive disabilities. Due to the lack of effective pharmacological treatments for cognition, cognitive rehabilitation and other nonpharmacological interventions such as repetitive transcranial magnetic stimulation (rTMS) have recently emerged and their potential role in functional connectivity is studied. With recently developed advanced neuroimaging and neurophysiological techniques, changes related to alterations of the brain’s functional connectivity can be detected. In this overview, we focus on the brain’s functional reorganization in MS, theoretical and practical aspects of rTMS utilization in humans, and its potential therapeutic role in treating cognitively impaired MS patients.

scholarly journals Changes in Functional Connectivity Predict Outcome of Repetitive Transcranial Magnetic Stimulation Treatment of Major Depressive Disorder

2019 ◽  
Vol 29 (12) ◽  
pp. 4958-4967 ◽  
Author(s):  
Juliana Corlier ◽  
Andrew Wilson ◽  
Aimee M Hunter ◽  
Nikita Vince-Cruz ◽  
David Krantz ◽  
...  
Keyword(s):  
Machine Learning ◽  
Major Depressive Disorder ◽  
Transcranial Magnetic Stimulation ◽  
Functional Connectivity ◽  
Clinical Outcome ◽  
Depressive Disorder ◽  
Clinical Improvement ◽  
Magnetic Stimulation ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Major Depressive

AbstractRepetitive transcranial magnetic stimulation (rTMS) treatment of major depressive disorder (MDD) is associated with changes in brain functional connectivity (FC). These changes may be related to the mechanism of action of rTMS and explain the variability in clinical outcome. We examined changes in electroencephalographic FC during the first rTMS treatment in 109 subjects treated with 10 Hz stimulation to left dorsolateral prefrontal cortex. All subjects subsequently received 30 treatments and clinical response was defined as ≥40% improvement in the inventory of depressive symptomatology-30 SR score at treatment 30. Connectivity change was assessed with coherence, envelope correlation, and a novel measure, alpha spectral correlation (αSC). Machine learning was used to develop predictive models of outcome for each connectivity measure, which were compared with prediction based upon early clinical improvement. Significant connectivity changes were associated with clinical outcome (P < 0.001). Machine learning models based on αSC yielded the most accurate prediction (area under the curve, AUC = 0.83), and performance improved when combined with early clinical improvement measures (AUC = 0.91). The initial rTMS treatment session produced robust changes in FC, which were significant predictors of clinical outcome of a full course of treatment for MDD.

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