A new device to improve target localization for transcranial magnetic stimulation therapy

Trapp, Nicholas T.; Uitermarkt, Brandt D.; Johnson, Marcie King; Koscik, Timothy R.; Garrett, Laren; Heinzerling, Amanda; Zanaty, Mario; Holland, Marshall T.; Howard, Matthew A.; Boes, Aaron D.

doi:10.1016/j.brs.2019.07.028

Cited by 8 publications

(8 citation statements)

References 7 publications

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“…Previous studies have used this method to place the coil over the left and right DLPFC (e.g. Lan et al., 2016 ; Trapp et al., 2019a ). At the beginning of each stimulation session, we estimated the resting motor threshold (rMT), defined as the intensity that induced visually perceptible movement of the right abductor pollicus brevis 50% of the time.…”

Section: Methodsmentioning

confidence: 99%

Effects of HF-rTMS over the left and right DLPFC on proactive and reactive cognitive control

Pulopulos

Allaert

Vanderhasselt

et al. 2020

Social Cognitive and Affective Neuroscience

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Abstract Previous research supports the distinction between proactive and reactive control. Although the dorsolateral prefrontal cortex (DLPFC) has been consistently related to these processes, lateralization of proactive and reactive control is still under debate. We manipulated brain activity to investigate the role of the left and right DLPFC in proactive and reactive cognitive control. Using a single-blind, sham-controlled crossover within-subjects design, 25 young healthy females performed the ‘AX’ Continuous Performance Task after receiving sham versus active High-Frequency repetitive Transcranial Magnetic Stimulation (HF-rTMS) to increase left and right DLPFC activity. RTs and pupillometry were used to assess patterns of proactive and reactive cognitive control and task-related resource allocation respectively. We observed that, compared to sham, HF-rTMS over the left DLPFC increased proactive control. After right DLPFC HF-rTMS, participants showed slower RTs on AX trials, suggesting more reactive control. However, this latter result was not supported by RTs on BX trials (i.e. the trial that specifically assess reactive control). Pupil measures showed a sustained increase in resource allocation after both active left and right HF-rTMS. Our results with RT data provide evidence on the role of the left DLPFC in proactive control and suggest that the right DLPFC is implicated in reactive control.

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Section: Methodsmentioning

confidence: 99%

Effects of HF-rTMS over the left and right DLPFC on proactive and reactive cognitive control

Pulopulos

Allaert

Vanderhasselt

et al. 2020

Social Cognitive and Affective Neuroscience

View full text Add to dashboard Cite

show abstract

“…Analysis of the patterns may enable identification of regions to target for treatment. In particular, the several-centimeter localization of the measures is comparable to the localization precision of transcranial magnetic stimulation (TMS) [35][36][37][38]. The deviations seen in a particular individual may prove sufficient to identify individualized target regions for TMS [39,40] rather than the standardized left and/or right prefrontal cortex currently in use [41,42].…”

Section: Discussionmentioning

confidence: 97%

Symptom-Dependent Changes in MEG-Derived Neuroelectric Brain Activity in Traumatic Brain Injury Patients with Chronic Symptoms

et al. 2021

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Neuroelectric measures derived from human magnetoencephalographic (MEG) recordings hold promise as aides to diagnosis and treatment monitoring and targeting for chronic sequelae of traumatic brain injury (TBI). This study tests novel MEG-derived regional brain measures of tonic neuroelectric activation for long-term test-retest reliability and sensitivity to symptoms. Resting state MEG recordings were obtained from a normative cohort, Cambridge Centre for Ageing and Neuroscience (CamCAN), baseline: n = 619; mean 16-month follow-up: n = 253) and a chronic symptomatic TBI cohort, Targeted Evaluation, Action and Monitoring of Traumatic Brain Injury (TEAM-TBI), baseline: n = 64; mean 6-month follow-up: n = 39). For the CamCAN cohort, MEG-derived neuroelectric measures showed good long-term test-retest reliability for most of the 103 automatically identified stereotypic regions. The TEAM-TBI cohort was screened for depression, somatization, and anxiety with the Brief Symptom Inventory and for insomnia with the Insomnia Severity Index. Linear classifiers constructed from the 103 regional measures from each TEAM-TBI cohort member distinguished those with and without each symptom, with p < 0.01 for each—i.e., the tonic regional neuroelectric measures of activation are sensitive to the presence/absence of these symptoms. The novel regional MEG-derived neuroelectric measures obtained and tested in this study demonstrate the necessary and sufficient properties to be clinically useful—i.e., good test-retest reliability, sensitivity to symptoms in each individual, and obtainable using automatic processing without human judgement or intervention.

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“…Analysis of the patterns may enable identification of regions to target for treatment. In particular, the localization of the measures to several centimeter 3 regions is comparable to the localization precision of trans-cranial magnetic stimulation (TMS) [ 35 , 36 , 37 , 38 ]. The deviations seen in a particular individual may prove sufficient to identify individualized target regions for TMS, unlike the practice of standardized targeting of left and/or right prefrontal cortex currently in use for major depression [ 39 , 40 , 41 , 42 ].…”

Section: Discussionmentioning

confidence: 99%

MEG-Derived Symptom-Sensitive Biomarkers with Long-Term Test-Retest Reliability

et al. 2021

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Neuroelectric measures derived from human magnetoencephalographic (MEG) recordings hold promise as aides to diagnosis and treatment monitoring and targeting for chronic sequelae of traumatic brain injury (TBI). This study tests novel MEG-derived regional brain measures of tonic neuroelectric activation for long-term test-retest reliability and sensitivity to symptoms. Resting state MEG recordings were obtained from a normative cohort (CamCAN, baseline: n = 613; mean 16-month follow-up: n = 245) and a chronic symptomatic TBI cohort (TEAM-TBI, baseline: n = 62; mean 6-month follow-up: n = 40). The MEG-derived neuroelectric measures were corrected for the empty-room contribution using a random forest classifier. The mean 16-month correlation between baseline and 16-month follow-up CamCAN measures was 0.67; test-retest reliability was markedly improved in this study compared with previous work. The TEAM-TBI cohort was screened for depression, somatization, and anxiety with the Brief Symptom Inventory and for insomnia with the Insomnia Severity Index and was assessed via adjudication for six clinical syndromes: chronic pain, psychological health, and oculomotor, vestibular, cognitive, and sleep dysfunction. Linear classifiers constructed from the 136 regional measures from each TEAM-TBI cohort member distinguished those with and without each symptom, p < 0.0003 for each, i.e., the tonic regional neuroelectric measures of activation are sensitive to the presence/absence of these symptoms and clinical syndromes. The novel regional MEG-derived neuroelectric measures obtained and tested in this study demonstrate the necessary and sufficient properties to be clinically useful, i.e., good test-retest reliability, sensitivity to symptoms in each individual, and obtainable using automatic processing without human judgement or intervention.

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A new device to improve target localization for transcranial magnetic stimulation therapy

Abstract: has filed a provisional patent application for the Wishbone device. Drs. Zanaty, Holland, and Howard are listed as inventors. There are no other financial disclosures or conflicts of interest to report for any of the authors.

Cited by 8 publications

References 7 publications

Effects of HF-rTMS over the left and right DLPFC on proactive and reactive cognitive control

Effects of HF-rTMS over the left and right DLPFC on proactive and reactive cognitive control

Symptom-Dependent Changes in MEG-Derived Neuroelectric Brain Activity in Traumatic Brain Injury Patients with Chronic Symptoms

MEG-Derived Symptom-Sensitive Biomarkers with Long-Term Test-Retest Reliability

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