Humans ; Artificial Intelligence ; Algorithms ; Brain ; Head

Objective To analyze the hot spots,rules and distribution on safety research of inhalation preparations at home and abroad in the past 20 years,and to summarize the current status of safety and risk control research on inhalation preparations.Methods This reaserch is based on the literature related to the safety and risk control of inhalation preparations in the core collection database of the Web of Science.With the help of Excel 2021 and CiteSpace6.1.R3,visualized processing and analysis were carried out on the annual number of publications,countries,institutions,authors,co-occurrence of keywords,clustering and prominence.Results A total of 365 articles were included,the annual publication number in the field of the safety and risk control of inhalation preparations was less than 30 per year from 2002 to 2018.But since 2019,the number of articles published this year has exceeded 30.Through the analysis of the cooperation network of countries and institutions,the top four countries in terms of publication volume are the United States,the United Kingdom,Germany,and China,and the top three institutions are AstraZeneca,GlaxoSmithKline and Pfizer.Through the analysis of the author cooperation network,the cooperation network between European and American authors was formed earlier,and a certain research group has appeared in 2002.In contrast,a more concentrated cooperation network has been formed in China in 2020.Conclusions In the past 20 years,the research on inhalation preparations has mainly focused on their safety and efficacy,while there are few studies on their risk control.There is a disconnect between safety assessment and risk assessment,and the future focus maybe focused on the adverse reaction assessment and risk management research of inhalation preparations.

Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
Humans ; White Matter/diagnostic imaging* ; Diffusion Tensor Imaging/methods* ; Alzheimer Disease/complications* ; Reproducibility of Results ; Cognition ; Cognitive Dysfunction/complications* ; Brain/diagnostic imaging*

Connectome/methods* ; Magnetic Resonance Imaging/methods* ; Brain/diagnostic imaging* ; Head ; Brain Mapping/methods* ; Nerve Net

Gray Matter/diagnostic imaging* ; Cerebral Cortex ; Brain ; Magnetic Resonance Imaging

Brain/diagnostic imaging* ; Humans ; Magnetic Resonance Imaging ; Neuroimaging ; White Matter/diagnostic imaging*

Transcranial magnetic stimulation (TMS) is a popular modulatory technique for the noninvasive diagnosis and therapy of neurological and psychiatric diseases. Unfortunately, current modulation strategies are only modestly effective. The literature provides strong evidence that the modulatory effects of TMS vary depending on device components and stimulation protocols. These differential effects are important when designing precise modulatory strategies for clinical or research applications. Developments in TMS have been accompanied by advances in combining TMS with neuroimaging techniques, including electroencephalography, functional near-infrared spectroscopy, functional magnetic resonance imaging, and positron emission tomography. Such studies appear particularly promising as they may not only allow us to probe affected brain areas during TMS but also seem to predict underlying research directions that may enable us to precisely target and remodel impaired cortices or circuits. However, few precise modulation strategies are available, and the long-term safety and efficacy of these strategies need to be confirmed. Here, we review the literature on possible technologies for precise modulation to highlight progress along with limitations with the goal of suggesting future directions for this field.

Biomarkers ; Brain/diagnostic imaging* ; Brain Diseases/diagnostic imaging* ; Humans ; Machine Learning ; Magnetic Resonance Imaging ; Neuroimaging

Transcranial magnetic stimulation (TMS) is a popular modulatory technique for the noninvasive diagnosis and therapy of neurological and psychiatric diseases. Unfortunately, current modulation strategies are only modestly effective. The literature provides strong evidence that the modulatory effects of TMS vary depending on device components and stimulation protocols. These differential effects are important when designing precise modulatory strategies for clinical or research applications. Developments in TMS have been accompanied by advances in combining TMS with neuroimaging techniques, including electroencephalography, functional near-infrared spectroscopy, functional magnetic resonance imaging, and positron emission tomography. Such studies appear particularly promising as they may not only allow us to probe affected brain areas during TMS but also seem to predict underlying research directions that may enable us to precisely target and remodel impaired cortices or circuits. However, few precise modulation strategies are available, and the long-term safety and efficacy of these strategies need to be confirmed. Here, we review the literature on possible technologies for precise modulation to highlight progress along with limitations with the goal of suggesting future directions for this field.
Brain/diagnostic imaging* ; Electroencephalography ; Magnetic Resonance Imaging ; Neuroimaging ; Transcranial Magnetic Stimulation