Accelerated iTBS treatment in depressed patients differentially modulates reward system activity based on anhedonia

Duprat, Romain; Wu, Guo‐Rong; Raedt, Rudi De; Baeken, Chris

doi:10.1080/15622975.2017.1355472

Cited by 29 publications

(37 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are limitations to our study. For ethical reasons we applied a single session of 1800 pulses iTBS for uncovering its effect on the DMN in healthy brains, since applying 20 sessions of iTBS as is done in patients 66 would not be prudent. Also, the fact that the non-stimulation side of an MCF-B65 coil can have non-zero current implies that sham condition was not completely passive.…”

Section: Discussionmentioning

confidence: 99%

Default mode network alterations after intermittent theta burst stimulation in healthy subjects

et al. 2020

View full text Add to dashboard Cite

Understanding the mechanisms by which intermittent theta burst stimulation (iTBS) protocols exert changes in the default-mode network (DMN) is paramount to develop therapeutically more effective approaches in the future. While a full session (3000 pulses) of 10 Hz repetitive transcranial magnetic stimulation (HF-rTMS) reduces the functional connectivity (FC) of the DMN and the subgenual anterior cingulate cortex, the current understanding of the effects of a single session of iTBS on the DMN in healthy subjects is limited. Here, we use a previously validated target selection approach for an unprecedented investigation into the effects of a single session (1800 pulses) of iTBS over the DMN in healthy controls. Twenty-six healthy subjects participated in a double-blind, crossover, sham-controlled study. After iTBS to the personalized left dorsolateral prefrontal cortex (DLPFC) targets, we investigated the time lapse of effects in the DMN and its relationship to the harm avoidance (HA) personality trait measure (Temperament and Character Inventory/TCI). Approximately 25-30 min after stimulation, we observed reduced FC between the DMN and the rostral and dorsal anterior cingulate cortex (dACC). About 45 min after stimulation the FC of rostral and dACC strongly decreased further, as did the FC of right anterior insula (AI) with the DMN. Also, we report a positive correlation between the FC decrease in the rostral ACC and the HA domain of TCI, indicating that the HA scores can potentially predict iTBS response. Overall, our results show the time lapse by which iTBS at left-DLPFC targets reduces the FC between DMN and the dACC and right AI, regions typically described as nodes of the salience network.

show abstract

Section: Discussionmentioning

confidence: 99%

Default mode network alterations after intermittent theta burst stimulation in healthy subjects

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Stimulation parameters and sample characteristics are summarized in Table 1 and Table 2, respectively. Ten publications meeting inclusion criteria were derived from shared samples; 4 from a larger rTMS study (Baeken et al, 2013;Baeken et al, 2014;Baeken et al, 2015;Baeken et al, 2017b), 4 from a larger intermittent TBS (iTBS) study (Baeken et al, 2017a;Desmyter et al, 2016;Duprat et al, 2016;Duprat et al, 2017), and 2 from an open-label rTMS study (McGirr et al, 2015;Tovar-Perdomo et al, 2017). Randomized controlled trials (RCTs) included a total of 301 unique patients.…”

Section: Overviewmentioning

confidence: 99%

Accelerated TMS for Depression: A systematic review and meta-analysis

Sonmez

Camsari

Nandakumar

et al. 2019

Psychiatry Research

152

View full text Add to dashboard Cite

Repetitive transcranial magnetic stimulation (TMS) is now widely available for the clinical treatment of depression, but the associated financial and time burdens are problematic for patients. Accelerated TMS (aTMS) protocols address these burdens and attempt to increase the efficiency of standard TMS. This systematic review and meta-analysis aimed to examine accelerated TMS studies for depressive disorders in accordance with PRISMA guidelines. Inclusion criteria consisted of studies with full text publications available in English describing more than one session of TMS (repetitive or theta burst stimulation) per day. Studies describing accelerated TMS protocols for conditions other than depression or alternative neuromodulation methods, preclinical studies, and neurophysiology studies regarding transcranial stimulation were excluded. Eighteen articles describing eleven distinct studies (seven publications described overlapping samples) met eligibility criteria. A Hedges' g effect size and confidence intervals were calculated. The summary analysis of three suitable randomized control trials revealed a cumulative effect size of 0.39 (95% CI 0.005-0.779). A separate analysis including open-label trials and active arms of suitable RCTs revealed a g of 1.27 (95% CI 0.902-1.637). Overall, the meta-analysis suggested that aTMS improves depressive symptom severity. In general, study methodologies were acceptable, but future efforts could enhance sham techniques and blinding.

show abstract

“…However, for the latter application, the functional connectivity findings are not that straightforward (Baeken et al 2017a;Baeken et al, 2014) and the aiTBS treatment delivered to the left DLPFC may have different neurobiological effects on the reward system (including the caudate), based on the level of anhedonia in the depressive state (Duprat, Wu, De Raedt, & Baeken, 2017). Indeed, it remains to be determined whether the left DLPFC is the best target to stimulate.…”

Section: Graph Measures As Biomarkermentioning

confidence: 99%

Focal application of accelerated iTBS results in global changes in graph measures

Klooster

Franklin

Besseling

et al. 2018

Human Brain Mapping

Self Cite

View full text Add to dashboard Cite

Graph analysis was used to study the effects of accelerated intermittent theta burst stimulation (aiTBS) on the brain's network topology in medication‐resistant depressed patients. Anatomical and resting‐state functional MRI (rs‐fMRI) was recorded at baseline and after sham and verum stimulation. Depression severity was assessed using the Hamilton Depression Rating Scale (HDRS). Using various graph measures, the different effects of sham and verum aiTBS were calculated. It was also investigated whether changes in graph measures were correlated to clinical responses. Furthermore, by correlating baseline graph measures with the changes in HDRS in terms of percentage, the potential of graph measures as biomarker was studied. Although no differences were observed between the effects of verum and sham stimulation on whole‐brain graph measures and changes in graph measures did not correlate with clinical response, the baseline values of clustering coefficient and global efficiency showed to be predictive of the clinical response to verum aiTBS. Nodal effects were found throughout the whole brain. The distribution of these effects could not be linked to the strength of the functional connectivity between the stimulation site and the node. This study showed that the effects of aiTBS on graph measures distribute beyond the actual stimulation site. However, additional research into the complex interactions between different areas in the brain is necessary to understand the effects of aiTBS in more detail.

show abstract

Accelerated iTBS treatment in depressed patients differentially modulates reward system activity based on anhedonia

Abstract: Although both MDD groups showed no differences in task performance, our brain imaging findings suggest that left DLPFC aiTBS treatment modulates the reward system differently according to anhedonia severity.

Cited by 29 publications

References 45 publications

Default mode network alterations after intermittent theta burst stimulation in healthy subjects

Default mode network alterations after intermittent theta burst stimulation in healthy subjects

Accelerated TMS for Depression: A systematic review and meta-analysis

Focal application of accelerated iTBS results in global changes in graph measures

Contact Info

Product

Resources

About