Intermittent theta burst stimulation (iTBS)-induced changes of resting-state brain entropy (BEN)

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Май 16, 2024

Abstract Intermittent theta burst stimulation (iTBS) is a novel protocol of repetitive transcranial magnetic (rTMS). While iTBS has shown better therapeutic effects for depression than conventional high-frequency rTMS (HF-rTMS), its underlying neuronal mechanism remains elusive. Brain entropy (BEN), measure irregularity brain activity, recently emerged as marker regional activity. Our previous studies have the sensitivity BEN to and HF-rTMS, suggesting sensitive tool understanding iTBS. To assess this possibility, we calculated using resting state fMRI data provided by an open dataset in OpenNeuro. Sixteen healthy participants underwent 600 pulses applied over left dorsolateral prefrontal cortex (L-DLPFC) at two intensities (90% 120% individual motor threshold (rMT)) on separate days. We assessed pre-post difference associations with neurotransmitter receptor transporter binding maps. results showed that subthreshold rMT) decreased striatal BEN, while suprathreshold (120% increased BEN. also found significant differences spatial correlation between changes induced different various neurotransmitters. These suggest caused intensity may be related release other The study underscores significance provides basis future clinical investigations identify good benefits.

Язык: Английский

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Altered resting-state brain entropy (BEN) by rTMS across the human cortex

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июль 19, 2024

Abstract Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain method effective in treating various neuropsychiatric disorders, yet its mechanisms are not fully understood. In general, rTMS protocols categorized into excitatory including high-frequency (HF-rTMS) and intermittent theta burst (iTBS), inhibitory low-frequency (LF-rTMS) continuous (cTBS). Brain entropy (BEN) measures irregularity, complexity of activity, our previous studies have indicated that BEN affects rTMS, HF-rTMS iTBS. However, two important questions remain whether equally sensitive to it can induce opposite activities, another question concerns specific changes across regions. To address these issues, we utilized own cTBS targeted on the left dorsal lateral prefrontal cortex (L-DLPFC) dataset publicly available LF-rTMS with stimulating sites L-DLPFC, temporal parietal junction (L-TPJ), occipital (L-OCC), from OpenNeuro. maps were calculated before after stimulation. The results showed L-DLPFC increased MOFC MOFC, subgenual anterior cingulate (MOFC/sgACC) putamen, regions consistent findings Additionally, L-TPJ resulted right TPJ, while L-OCC led decreased posterior (PCC). Our suggest only but also rTMS. Moreover, induces different effects regions, as detected by BEN.

Язык: Английский

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The Relationships of Resting-state Brain Entropy (BEN), Ovarian Hormones and Behavioral Inhibition and Activation Systems (BIS/BAS)

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июнь 6, 2024

Abstract Entropy measures the irregularity or complexity of a system. Recent research on brain entropy (BEN) based resting-state fMRI has provided complementary information to other metrics such as low-frequency fluctuations and cerebral blood flow. It been established that neural plasticity, both pharmacological nonpharmacological, well stimulation can influence BEN. However, it remains unknown whether BEN reflect effects hormones. Furthermore, recent studies have indicated ovarian hormones behavioral inhibition activation systems. In our study, we utilized open-access available data from OpenNeuro investigate their impact BIS/BAS. Our results negative correlation between progesterone (PROG) in frontal-parietal network limbic system, while showed significant positive with BAS-drive DLPFC. Additionally, was observed PROG BAS-drive. Further analysis revealed DLPFC mediates This suggests reduces by increasing executive inhibitory functions We also analyzed FC whole brain. DLPFC-IPL BAS-drive, DLPFC-LOFC exhibited BAS-fun-seeking. Moreover, DLPFC-AG demonstrated BAS-rewards. These are consistent relationship impulsivity representation BAS. study is first demonstrate function. identified mediated left BEN, providing new insights into understanding behavior.

Язык: Английский

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Age-dependent functional development pattern in neonatal brain: An fMRI-based brain entropy study

NeuroImage, Год журнала: 2024, Номер 297, С. 120669 - 120669

Опубликована: Июнь 7, 2024

The relationship between brain entropy (BEN) and early development has been established through animal studies. However, it remains unclear whether the BEN can be used to identify age-dependent functional changes in human neonatal brains genetic underpinning of new neuroimaging marker elucidated. In this study, we analyzed resting-state fMRI data from Developing Human Connectome Project, including 280 infants who were scanned at 37.5-43.5 weeks postmenstrual age. maps calculated for each subject, a voxel-wise analysis was conducted using general linear model examine effects age, sex, preterm birth on BEN. Additionally, evaluated correlation regional gene expression levels. Our results demonstrated that sensorimotor-auditory association cortices, along 'S-A' axis, significantly positively correlated with postnatal age (PNA), negatively gestational (GA), respectively. Meanwhile, right rolandic operculum both GA PNA. Preterm-born exhibited increased values widespread cortical areas, particularly visual-motor cortex, when compared term-born infants. Moreover, identified five BEN-related genes (DNAJC12, FIG4, STX12, CETN2, IRF2BP2), which involved protein folding, synaptic vesicle transportation cell division. These findings suggest fMRI-based serve as an indicator neonates, may influenced by specific genes.

Язык: Английский

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Complexity of intrinsic brain activity in relapsing–remitting multiple sclerosis patients: patterns, association with structural damage, and clinical disability

La radiologia medica, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

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Alterations in temporal-spatial brain entropy in treatment-resistant depression treated with nitrous oxide: Evidence from resting-state EEG

Clinical Neurophysiology, Год журнала: 2025, Номер 171, С. 182 - 191

Опубликована: Фев. 4, 2025

Язык: Английский

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The relationships of resting-state brain entropy (BEN), ovarian hormones and behavioral inhibition and activation systems (BIS/BAS)

NeuroImage, Год журнала: 2025, Номер 312, С. 121226 - 121226

Опубликована: Апрель 21, 2025

Язык: Английский

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Chronic pain is associated with greater brain entropy in the prefrontal cortex

Journal of Pain, Год журнала: 2025, Номер unknown, С. 105421 - 105421

Опубликована: Апрель 1, 2025

Chronic pain is a debilitating clinical condition and severe public health issue that demands to be addressed. Neuroimaging-based techniques have been widely adopted investigate the neural underpinnings of chronic pain. Despite efforts complex nature experience as well heterogeneity made identification neuroimaging-based biomarkers extremely challenging. In this study, resting-state fMRI-based brain entropy, measure reflecting "irregularity" activity, was biomarker by comparing individuals with healthy controls in sample middle-to-old-age participants (n > 30,000) drawn from UK Biobank database. Abnormal entropy associated altered dynamics may serve potential marker disrupted processing Compared controls, exhibited increased broad set regions including frontal, temporal, occipital lobes, cerebellum. addition, more distributed showed lobes. When examining distinct types individually, only headache all over body differences compared matched controls. Perspective This article investigates substrates using randomness irregularity activity. could potentially aid assessment treatment

Язык: Английский

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Predicting suicidality in late‐life depression by 3D convolutional neural network and cross‐sample entropy analysis of resting‐state fMRI

Brain and Behavior, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 1, 2024

Abstract Background : Predicting suicide is a pressing issue among older adults; however, predicting its risk difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in complex behavior such as suicide. As depression remained strongest for suicide, we aimed to apply deep learning algorithms identify suicidality group with late‐life (LLD). Methods We enrolled 83 patients LLD, 35 which were non‐suicidal and 48 suicidal, including 26 only suicidal ideation 22 past attempts, resting‐state functional magnetic resonance imaging (MRI). Cross‐sample entropy (CSE) analysis was conducted examine complexity MRI signals brain regions. Three‐dimensional (3D) convolutional neural networks (CNNs) used, classification accuracy each region averaged predict after sixfold cross‐validation. Results found regions mean above 75% located mostly default mode, fronto‐parietal, cingulo‐opercular networks. The models right amygdala left caudate provided most reliable all cross‐validation folds, indicating their neurobiological importance Conclusion Combining CSE 3D CNN, several be associated suicidality.

Язык: Английский

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Divergent association between pain intensity and resting‐state fMRI‐based brain entropy in different age groups

Journal of Neuroscience Research, Год журнала: 2024, Номер 102(5)

Опубликована: Май 1, 2024

Pain is a multidimensional subjective experience sustained by multiple brain regions involved in different aspects of pain experience. We used entropy (BEN) estimated from resting-state fMRI (rsfMRI) data to investigate the neural correlates BEN was rs-fMRI provided two datasets with age range: Human Connectome Project-Young Adult (HCP-YA) and project-Aging (HCP-A) datasets. Retrospective assessment experienced intensity retrieved both No main effect observed. The interaction between age, however, related increased several pain-related regions, reflecting greater variability spontaneous activity. Dividing sample into young adult group (YG) middle age-aging (MAG) resulted divergent patterns pain-BEN association: In YG, reduced sensory processing pain; MAG, associated areas cognitive

Язык: Английский

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