The Location Reliability of the Resting-State fMRI FC of Emotional Regions Towards rTMS Therapy

Zhao, Na; Yue, Juan; Feng, Zi‐Jian; Qiao, Yang; Ge, Qiu; Yuan, Lijun; Wang, Jue; Xiang, Yu‐Tao; Zang, Yu‐Feng

doi:10.1007/s12021-022-09585-4

Cited by 5 publications

(7 citation statements)

References 37 publications

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“…Specifically, for the AMYG and HIP, the peak activation areas of these two brain regions will be binarized, and their overlaps with their corresponding templates (Brainnetome Atlas, http://atlas.brainnetome.org/ ) will be defined as AMYG and HIP region of interests (ROI). The overlap of the activation areas and previously reported left DLPFC will be selected as the left DLPFC, the right DLPFC will be defined as the overlap of the activation areas and the mirror of the left DLPFC [ 38 , 39 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of repetitive transcranial magnetic stimulation on fear of cancer recurrence and its underlying neuromechanism

Xu,

Zhao,

et al. 2024

Contemporary Clinical Trials Communications

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Section: Discussionmentioning

confidence: 99%

Effects of repetitive transcranial magnetic stimulation on fear of cancer recurrence and its underlying neuromechanism

Xu,

Zhao,

et al. 2024

Contemporary Clinical Trials Communications

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“…While desirable variations contribute to improving treatment efficacy, the undesirable variations resulting from technical factors can lead to instability in the personalized connectivity-based network targeting model. For instance, the intraindividual distance serves as a key index for evaluating the feasibility of a personalized model (Ning et al, 2018;Cash et al, 2021;Zhao et al, 2022). The utilization of individual rsFC for optimal TMS coil placement was found to be unstable due to the lower signal-to-noise ratio of rsfMRI (Dubois and Adolphs, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…In the classic method, the 28-minute acquisition time exhibited approximately 25% more reliability than the 7-minute acquisition time in MDD, as measured by the intraindividual distance index, with a 23% improvement observed in AVH. Considering that the optimal target may be an outlier singular point affecting the model's stability, the cluster method utilized the similarity of NTA maps to identify reliable scalp sites by determining the center-of-gravity of the largest cluster, rather than relying solely on peak values (Cash et al, 2021;Zhao et al, 2022). Our findings demonstrated that the intraindividual distance using the cluster method and a 28-minute acquisition time was less than 1 cm, within the spatial sensitivity range of TMS (Deng et al, 2013), providing evidence of the effectiveness of the personalized NTA model.…”

Section: Discussionmentioning

confidence: 99%

Personalized connectivity-based network targeting model of TMS for treatment of psychiatric disorders: computational feasibility and reproducibility

Cao

Xiao

Xie

et al. 2023

Preprint

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Consider the limited clinical efficacy of transcranial magnetic stimulation (TMS) due to heterogeneity in treatment outcomes, the utilization of individual functional connectivity (FC) can enhance the prediction accuracy in the network targeting model. However, the low signal-to-noise ratio (SNR) of FC poses a challenge when utilizing individual resting-state FC (rsFC). To overcome this challenge, proposed solutions include increasing the scan duration and employing clustering approaches to enhance the stability of FC. In this study, we aimed to evaluate the stability of a personalized functional-based network targeting model in individuals with major depressive disorder (MDD) and schizophrenia with auditory verbal hallucinations (AVH). Using resting-state functional magnetic resonance imaging (rsfMRI) data from the Human Connectome Project (HCP), we assessed the model's stability and employed longer scan durations (7 minutes, 14 minutes, 21 minutes, 28 minutes) and clustering methodologies to improve the precision of identifying optimal individual sites. Our findings demonstrate that a scan duration of 28 minutes and the utilization of the clustering approach lead to stable identification of individual sites, as evidenced by the intraindividual distance falling below the ~1cm spatial resolution of TMS. These findings contribute to the understanding of individualized TMS targeting and have implications for improving treatment outcomes in psychiatric disorders.

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“…Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive method, revealing the phenomenon of spontaneous neuronal activity at rest. One of its potential clinical applications is the exact localization of aberrant brain activity, which would aid in both the qualitative diagnosis and the direction of precise stimulation therapy, such as transcranial magnetic stimulation and deep brain stimulation ( Zhao et al, 2022 ; Chang et al, 2023 ; Muller et al, 2023 ). Using rs-fMRI, ( Abdallah et al, 2021 ) reported AUD patients existed abnormal connectivity between the cerebellum and both the frontoparietal executive control and ventral attention networks.…”

Section: Introductionmentioning

confidence: 99%

A voxel-level resting-state fMRI study on patients with alcohol use disorders based on a power spectrum slope analysis method

Ruan,

Song,

et al. 2024

Front. Neurosci.

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BackgroundEarlier neuroimaging investigations showed that abnormal brain activity in patients with alcohol use disorder (AUD) was frequency dependent. However, there is lacking of a comprehensive method to capture the amplitude of multi-frequency bands directly. Here, we used a new method, the power spectrum slope (PSS) to explore abnormal spontaneous activity of brain in patients with AUD.MethodsThirty-three AUD patients and 29 healthy controls (HCs) enrolled in this study. The coefficient b and the power-law slope b’ were calculated and compared between two groups. We also used the receiver operating characteristic (ROC) curve to examine the ability of the PSS analysis to distinguish between AUD and HCs. We next examined the correlation between PSS difference in the brain areas and the severity of alcohol dependence.ResultsThirty AUD patients and 26 HCs were retained after head motion correction. The two metrics of PSS values increased in the left precentral gyrus in AUD patients. The area under the curve values of PSS differences in the specific brain area were respectively 0.836 and 0.844, with sensitivities of 86.7% and 83.3% and specificities of 73.1% and 76.9%. The Michigan Alcoholism Screening Test (MAST) and Alcohol drinking scale (ADS) scores were not significantly correlated with the PSS values in the specific brain area.ConclusionAs a novel method, the PSS can well detect abnormal local brain activity in the AUD patients and may offer new insights for future fMRI studies.

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The Location Reliability of the Resting-State fMRI FC of Emotional Regions Towards rTMS Therapy

Cited by 5 publications

References 37 publications

Effects of repetitive transcranial magnetic stimulation on fear of cancer recurrence and its underlying neuromechanism

Effects of repetitive transcranial magnetic stimulation on fear of cancer recurrence and its underlying neuromechanism

Personalized connectivity-based network targeting model of TMS for treatment of psychiatric disorders: computational feasibility and reproducibility

A voxel-level resting-state fMRI study on patients with alcohol use disorders based on a power spectrum slope analysis method

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