AIMC Topic: Transcranial Magnetic Stimulation

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Usefulness of robotic gait training plus neuromodulation in chronic spinal cord injury: a case report.

The journal of spinal cord medicine
CONTEXT: Spinal cord injury (SCI) affects more than 2.5 million people worldwide, often leading to severe disability. Thus, a proper management of individuals with SCI is required either in the acute or in the post-acute rehabilitative phase.

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Clinical EEG and neuroscience
Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major depressive disorder (MDD) tre...

[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
This article presents a systematic review of the research progress on temporal interference (TI) electromagnetic stimulation for deep brain function modulation. It first analyzes the fundamental principle of generating low-frequency envelopes through...

Predicting rTMS treatment response in depression: use of machine learning models to identify the roles of metabolic and clinical factors.

Journal of affective disorders
BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression in patients with major depressive disorder (MDD) and bipolar disorder (BD), but accurate prediction of treatment response remains a challenge. Th...

Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD.

Journal of affective disorders
BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for major depression disorder (MDD), particularly for treatment-resistant cases. However, identifying translatable biomarkers predictive of treatment outcomes re...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Psychiatry research
Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ), yet its efficacy and underlying mechanisms remain uncertain. This study evaluates the impact of rTMS targeting the right orbitofrontal cortex (OFC) ...

Differential Effects of Repetitive Transcranial Magnetic Stimulation on Mood and Pain Symptoms in People With Chronic Pain and Major Depressive Disorders-A Review.

European journal of pain (London, England)
BACKGROUND AND OBJECTIVE: Chronic pain and major depressive disorder (MDD) are among the most prevalent and disabling conditions globally, often co-occurring and sharing overlapping symptoms such as fatigue, cognitive dysfunction and mood disturbance...

Interhemispheric connections in the maintenance of language performance and prognosis prediction: fully connected layer-based deep learning model analysis.

Neurosurgical focus
OBJECTIVE: Language-related networks have been recognized in functional maintenance, which has also been considered the mechanism of plasticity and reorganization in patients with cerebral malignant tumors. However, the role of interhemispheric conne...

Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Modeling transcranial magnetic stimulation (TMS) evoked potentials (TEP) begins with classification of stereotypical single-pulse TMS responses in order to select validation targets for generative dynamical models. Several dimensionality reduction te...