259. NIRS Observation of Changes in Brain Activity following Low Field Magnetic Stimulation

2017 ◽  
Vol 81 (10) ◽  
pp. S106-S107 ◽  
Author(s):  
Michael Rohan ◽  
Rinah Yamamoto ◽  
Kyoko Ohashi ◽  
Yunjie Tong ◽  
Lia Hocke ◽  
...  
Keyword(s):  
Magnetic Stimulation ◽  
Brain Activity ◽  
Low Field

NIRS observation of changes in brain activity following Low Field Magnetic Stimulation

2017 ◽  
Vol 10 (2) ◽  
pp. 532
Author(s):  
M.L. Rohan ◽  
R.T. Yamamoto ◽  
K. Ohashi ◽  
Y. Tong ◽  
L.M. Hocke ◽  
...  
Keyword(s):  
Magnetic Stimulation ◽  
Brain Activity ◽  
Low Field

scholarly journals Task-Modulated Brain Activity Predicts Antidepressant Responses of Prefrontal Repetitive Transcranial Magnetic Stimulation: A Randomized Sham-Control Study

2021 ◽  
Vol 5 ◽  
pp. 247054702110068
Author(s):  
Cheng-Ta Li ◽  
Chih-Ming Cheng ◽  
Chi-Hung Juan ◽  
Yi-Chun Tsai ◽  
Mu-Hong Chen ◽  
...  
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Magnetic Stimulation ◽  
Antidepressant Treatment ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Brain Activity ◽  
Characteristic Curve ◽  
Depression Score ◽  
Double Blind ◽  
Antidepressant Efficacy ◽  
Group B

Background Prolonged intermittent theta-burst stimulation (piTBS) and repetitive transcranial magnetic stimulation (rTMS) are effective antidepressant interventions for major depressive disorder (MDD). Cognition-modulated frontal theta (frontalθ) activity had been identified to predict the antidepressant response to 10-Hz left prefrontal rTMS. However, whether this marker also predicts that of piTBS needs further investigation. Methods The present double-blind randomized trial recruited 105 patients with MDD who showed no response to at least one adequate antidepressant treatment in the current episode. The recruited patients were randomly assigned to one of three groups: group A received piTBS monotherapy; group B received rTMS monotherapy; and group C received sham stimulation. Before a 2-week acute treatment period, electroencephalopgraphy (EEG) and cognition-modulated frontal theta changes (Δfrontalθ) were measured. Depression scores were evaluated at baseline, 1 week, and 2 weeks after the initiation of treatment. Results The Δfrontalθ at baseline was significantly correlated with depression score changes at week 1 (r = −0.383, p = 0.025) and at week 2 for rTMS group (r = −0.419, p = 0.014), but not for the piTBS and sham groups. The area under the receiver operating characteristic curve for Δfrontalθ was 0.800 for the rTMS group (p = 0.003) and was 0.549 for the piTBS group (p = 0.619). Conclusion The predictive value of higher baseline Δfrontalθ for antidepressant efficacy for rTMS not only replicates previous results but also implies that the antidepressant responses to rTMS could be predicted reliably at baseline and both piTBS and rTMS could be effective through different neurobiological mechanisms.

Mood-enhancing effects of low field magnetic stimulation in depression and related plasticity of resting state connectivity

2017 ◽  
Vol 10 (2) ◽  
pp. 425
Author(s):  
M.J. Dubin ◽  
A.A. Cochran ◽  
C.G. Gross ◽  
J.P. Dyke ◽  
H.U. Voss ◽  
...  
Keyword(s):  
Resting State ◽  
Magnetic Stimulation ◽  
Low Field ◽  
Resting State Connectivity

scholarly journals A double-blind pilot dosing study of low field magnetic stimulation (LFMS) for treatment-resistant depression (TRD)

2019 ◽  
Vol 249 ◽  
pp. 286-293 ◽  
Author(s):  
Marc J. Dubin ◽  
Irena P. Ilieva ◽  
Zhi-De Deng ◽  
Jeena Thomas ◽  
Ashly Cochran ◽  
...  
Keyword(s):  
Magnetic Stimulation ◽  
Treatment Resistant Depression ◽  
Treatment Resistant ◽  
Double Blind ◽  
Low Field ◽  
Resistant Depression

Transcranial brain stimulation: potential and limitations

e-Neuroforum ◽  
2014 ◽  
Vol 20 (2) ◽  
Author(s):  
W. Paulus
Keyword(s):  
Electric Fields ◽  
Magnetic Stimulation ◽  
Near Infrared ◽  
Brain Activity ◽  
Electrical Energy ◽  
After Effects ◽  
Network Characteristics ◽  
Neuronal Membranes ◽  
Transcranial Brain Stimulation ◽  
The Brain

AbstractThe brain adapts to new requirements in response to activity, learning or reactions to environmental stimuli by continuous reorgani­zation. These reorganization processes can be facilitated and augmented, or also inhibit­ed and prevented, by transcranial neurostim­ulation. The most common methods are electrical or magnetic stimulation. However, few studies have dealt with the newer methods using near infrared or ultrasound stimulation.Transcranial magnetic stimulation (TMS) allows the pain-free transfer of very short bursts of high intensity electrical energy through the skull and can induce action po­tentials. By varying the number and intensity of the stimuli, and the stimulus sequence, repetitive TMS (rTMS) can induce either inhib­itory or facilitatory effects in the brain. A differentiation is made between short-lived interference with ongoing brain activity, and plastic changes that persist for a longer period beyond the end of the stimulation.Weaker electric fields in the 1 mA range can be applied painlessly through the skull. These probably exert their effects by modulating neuronal membranes and influencing the spontaneous firing rate of cortical neu­rons. They encompass the range from tran­scranial direct current stimulation (tDCS) to high frequency alternating current stimulation (tACS) in the kilohertz range. In view of the multitude of physically possible stimulation algorithms, hypothesis-driven protocols based on cellular or neuronal network characteristics are particularly popular, in the effort to narrow the choices in a meaningful manner. Examples are theta burst stimulation or tACS in the so-called “ripple” frequen­cy range. It is, of course, not possible to selectively stimulate individual neurons using transcranial stimulation techniques; however selective after-effects can be achieved when used in combination with neuropharmacologically active drugs. The use of these methods for neuroenhancement is now a topic of intense discussion.

scholarly journals Magnetic Stimulation of the Right Visual Cortex Impairs Form-specific Priming

2007 ◽  
Vol 19 (6) ◽  
pp. 1013-1020 ◽  
Author(s):  
Gorana Pobric ◽  
Stefan R. Schweinberger ◽  
Michal Lavidor
Keyword(s):  
Magnetic Stimulation ◽  
Semantic Processing ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Brain Activity ◽  
Occipital Lobe ◽  
Occipital Cortex ◽  
Object Form ◽  
The Right ◽  
Specific Priming ◽  
Stimulation Of

Recent evidence suggests that priming of objects across different images (abstract priming) and priming of specific images of an object (form-specific priming) are mediated by dissociable neural processing subsystems that operate in parallel and are predominantly linked to left and right hemispheric processing, respectively [Marsolek, C. J. Dissociable neural subsystems underlie abstract and specific object recognition. Psychological Science, 10, 111–118, 1999]. Previous brain imaging studies have provided important information about the neuroanatomical regions that are involved in form-specific and abstract priming; however, these techniques did not fully establish the functional significance of priming-related changes in cortical brain activity. Here, we used repetitive transcranial magnetic stimulation (rTMS) in order to establish the functional role of the right occipital cortex in form-specific priming [Kroll, N. E. A., Yonelinas, A. P., Kishiyama, M. M., Baynes, K., Knight, R. T., & Gazzaniga, M. S. The neural substrates of visual implicit memory: Do the two hemispheres play different roles? Journal of Cognitive Neuroscience, 15, 833–842, 2003]. Compared to no TMS and sham TMS, rTMS of the right occipital cortex disrupted immediate form-specific priming in a semantic categorization task. Left occipital rTMS, on the other hand, had no converse effect on abstractive priming. Abstract priming may involve deeper semantic processing and may be unresponsive to magnetic stimulation of a single cortical locus. Our TMS results show that form-specific priming relies on a visual word-form system localized in the right occipital lobe, in line with the predictions from divided visual field behavioral studies [Marsolek, 1999].

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