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neuroimaging perspective in targeted treatment for type 2 diabetes melitus and sleep disorders

Intelligent Medicine 2022年第4期2卷 209-220页

作者： Karen M.von Deneen Malgorzata A.Garstka Center for Brain Imaging School of Life Science and TechnologyXidian UniversityXi’anShaanxi 710126China International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment&Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information School of Life Science and TechnologyXidian UniversityXi’anShaanxi 710126China Core Research Laboratory Department of Endocrinologythe Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’anShaanxi 710004China Department of Tumor and Immunology Precision Medical InstituteWestern China Science and Technology Innovation PortSchool of Medicinethe Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’anShaanxi 710004China

Type 2 diabetes mellitus(T2DM)and sleep disorders(SD)have become important and costly health issues world-wide,particularly in *** are common diseases related to brain functional and structural abnormalities involving the hypothalamic-pituitary-adrenal(HPA)*** brains of individuals who suffer from both diseases simultaneously might be different compared to healthy *** review assessed current neuroimaging findings to develop alternative targeted treatments for T2DM and *** articles published between Jan-uary 2002 and September 2021 were searched in PubMed and Web of Science *** treatment methods for T2DM include dietary/weight-loss management,metformin or a combination of two non-insulin drugs,and melatonin for SD,though alternative therapies including electroacupuncture(EA)have been utilized in treating both of these diseases separately because they are convenient,affordable,and *** and al-ternative treatments for T2DM were somehow effective in treating *** studies of these disorders can achieve higher treatment efficacy by targeting brain areas,such as the hypothalamus(HYP),as visualized via diffusion tensor imaging(DTI),and functional magnetic resonance imaging(fMRI).DTI and fMRI can map the human brain and are utilized in many ***,we propose that neuroimaging studies could be used in treatment of SD in T2DM.

关键词： neuroimaging Diabetes mellitus Sleep disorders Alternative medicine Electroacupuncture Hypothalamic-pituitary-adrenal axis

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Ketamine use disorder:preclinical,clinical,and neuroimaging evidence to support proposed mechanisms of actions

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Intelligent Medicine 2022年第2期2卷 61-68页

作者： Leah Vines Diana Sotelo Allison Johnson Evan Dennis Peter Manza Nora D.Volkow Gene-Jack Wang Laboratory of neuroimaging National Institute on Alcohol Abuse and AlcoholismNational Institutes of Health10 Center DrRm B2L124BethesdaMarylandUnited States

Ketamine,a noncompetitive N-methyl-D-aspartate(NMDA)receptor antagonist,has been exclusively used as an anesthetic in medicine and has led to new insights into the pathophysiology of neuropsychiatric *** studies have shown that low subanesthetic doses of ketamine produce antidepressant effects for individuals with ***,its use as a treatment for psychiatric disorders has been limited due to its reinforcing effects and high potential for diversion and *** studies have focused on understanding the molecular mechanisms underlying ketamine’s antidepressant effects,but a precise mechanism had yet to be *** we review different hypotheses for ketamine’s mechanism of action including the direct inhibition and disinhibition of NMDA receptors,aminomethylphosphonic acid receptors(AMPAR)activation,and heightened activation of monoaminergic *** proposed mechanisms are not mutually exclusive,and their combined influence may exert the observed structural and functional neural *** term use of ketamine induces brain structural,functional impairments,and neurodevelopmental effects in both rodents and *** misuse has increased rapidly in the past 20 years and is one of the most common addictive drugs used in *** proposed mechanisms of action and supporting neuroimaging data allow for the development of tools to identify‘biotypes’of ketamine use disorder(KUD)using machine learning approaches,which could inform intervention and treatment.

关键词： Ketamine neuroimaging N-methyl-D-aspartate Dopamine Serotonin Glutamatergic Gamma-aminobutyric acid

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Insight in obsessive-compulsive disorder:conception,clinical characteristics,neuroimaging,and treatment

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Psychoradiology 2023年第1期3卷 107-117页

作者： Yueqi Huang Yazhu Weng Lan Lan Cheng Zhu Ting Shen Wenxin Tang Hsin-Yi Lai Department of Psychiatry Affiliated Mental Health Center and Hangzhou Seventh People’s HospitalZhejiang University School of MedicineHangzhou 310007China Fourth Clinical School of Zhejiang Chinese Medical University Hangzhou 310053China Department of Psychology and Behavior Science Zhejiang UniversityHangzhou 310058China Frontotemporal Degener ation Center Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphia 19104PAUSA Department of Neurology of the Second Affiliated Hospital Interdisciplinary Institute of Neuroscience and TechnologyKey Laboratory of Medical Neurobiology of Zhejiang Pro vinceZhejiang University School of MedicineHangzhou 310029China MOE Frontier Science Center for Brain Science and Brain-Machine Integration State Key Laboratory of Brain-machine IntelligenceSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhou 311121China College of Biomedical Engineering and Instrument Science Zhejiang UniversityHangzhou 310027China

Obsessive-compulsive disorder(OCD)is a chronic disabling disease with often unsatisfactory therapeutic *** fifth edition of the Diagnostic and Statistical Manual of Mental Disorders(DSM-5)has broadened the diagnostic criteria for OCD,acknowledging that some OCD patients may lack insight into their *** studies have demonstrated that insight can impact therapeutic efficacy and prognosis,underscoring its importance in the treatment of mental disorders,including *** recent years,there has been a growing interest in understanding the influence of insight on mental disorders,leading to advancements in related ***,to the best of our knowledge,there is dearth of comprehensive reviews on the topic of insight in *** this review article,we aim to fill this gap by providing a concise overview of the concept of insight and its multifaceted role in clinical characteristics,neuroimaging mechanisms,and treatment for OCD.

关键词： obsessive-compulsive disorder insight mental health neuroimaging

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neuroimaging of inflammation in alcohol use disorder: a review

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Science China(Information Sciences) 2020年第7期63卷 19-37页

作者： Dana E.FELDMAN Katherine L.MCPHERSON Catherine L.BIESECKER Corinde E.WIERS Peter MANZA Nora D.VOLKOW Gene-Jack WANG National Institute on Alcohol Abuse and Alcoholism National Institute on Drug Abuse

Alcohol use disorder(AUD) is a global health concern associated with several *** health problems related to AUD, such as cognitive deficits, have been linked to *** use has been associated with changes in neuroimmune activity, although current literature has yielded mixed results. For example, markers of gliosis, including translocator protein 18-kDa(TSPO), proinflammatory cytokines, glutamate(Glu), and myo-inositol(mI), are disrupted in the alcohol-dependent brain. Further, neuroinflammatory-related phenomena including membrane turnover, blood brain barrier(BBB) permeability, and adenosine release have also shown alterations in AUD. However, current literature remains inconclusive about the directionality of these changes. Both in vivo and in vitro studies have provided insight on the relationship between alcohol use and neuroinflammatory processes, suggesting considerable treatment potential for alcohol use disorder and its inflammatory comorbidities. Here, we review current neuroimaging literature assessing the impacts of alcohol use on neuroimmune activity in the brain.

关键词： acetate adenosine alcohol use disorder blood brain barrier choline gliosis glutamate myoinositol neuroimaging neuroinflammation

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neuroimaging diagnosis for cerebral infarction An 8-year bibliometric analysis

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Neural Regeneration Research 2012年第30期7卷 2392-2399页

作者： Yan Du Xiaoxia Yang Hong Song Bo Chen Lin Li Yue Pan Qiong Wu Jia Li Shenzhou Hospital Affiliated to Shenyang Medical College Shenyang 110036 Liaoning Province China

OBJECTIVE： To identify global research trends in neuroimaging diagnosis for cerebral infarction using a bibliometric analysis of the Web of Science. DATA RETRIEVAL： We performed a bibliometric analysis of data retrieval for neuroimaging diagnosis for cerebral infarction containing the key words ＂CT, magnetic resonance imaging, MRI, transcranial Doppler, transvaginal color Doppler, digital subtraction angiography, and cerebral infarction＂ using the Web of Science. SELECTION CRITERIA： Inclusion criteria were：（a） peer-reviewed articles on neuroimaging diagnosis for cerebral infarction which were published and indexed in the Web of Science; （b） original research articles and reviews; and （c） publication between 2004-2011. Exclusion criteria were：（a） articles that required manual searching or telephone access; and （b） corrected papers or book chapters. MAIN OUTCOME MEASURES：（1）Annual publication output; （2） distribution according to country; （3） distribution according to institution; （4） top cited publications; （5） distribution according to journals; and （6） comparison of study results on neuroimaging diagnosis for cerebral infarction. RESULTS： Imaging has become the predominant method used in diagnosing cerebral infarction. The most frequently used clinical imaging methods were digital subtraction angiography, CT, MRI, and transcranial color Doppler examination. Digital subtraction angiography is used as the gold standard. However, it is a costly and time-consuming invasive diagnosis that requires some radiation exposure, and is poorly accepted by patients. As such, it is mostly adopted in interventional therapy in the clinic. CT is now accepted as a rapid, simple, and reliable non-invasive method for use in diagnosis of cerebrovascular disease and preoperative appraisal. Ultrasonic Doppler can be used to reflect the hardness of the vascular wall and the nature of the plaque more clearly than CT and MRI. CONCLUSION： At present, there is no unified standard of classif

关键词： computed tomography magnetic resonance imaging transcranial Doppler transvaginal colorDoppler digital subtraction angiography cerebral infarction diagnosis neuroimaging

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neuroimaging characterization of recovery of impaired consciousness in patients with disorders of consciousness

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Neural Regeneration Research 2019年第7期14卷 1202-1207页

作者： Sung Ho Jang Young Hyeon Kwon Department of Physical Medicine and Rehabilitation College of MedicineYeungnam University

Elucidation of critical brain areas or structures that are responsible for recovery of impaired consciousness in patients with disorders of consciousness is important because it can provide information that is useful when developing therapeutic strategies for neurorehabilitation or neurointervention in patients with disorders of *** this review,studies that have demonstrated brain changes during recovery of impaired consciousness were *** studies used positron emission tomography,electroencephalography/transcranial magnetic stimulation,diffusion tensor tractography,and diffusion tensor tractography/*** majority of these studies reported on the importance of supratentorial areas or structures in the recovery of impaired *** important brain areas or structures that were identified were the prefrontal cortex,basal forebrain,anterior cingulate cortex,and parietal *** results have a clinically important implication that these brain areas or structures can be target areas for neurorehabilitation or neurointervention in patients with disorders of ***,most of studies were case reports;therefore,further original studies involving larger numbers of patients with disorders of consciousness are *** addition,more detailed information on the brain areas or structures that are relevant to the recovery of impaired consciousness is needed.

关键词： consciousness vegetative state minimally conscious state ascending reticular activating system diffusion tensor imaging neuroimaging neural regeneration review

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neuroimaging studies of cognitive remediation in schizophrenia:A systematic and critical review

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World Journal of Psychiatry 2017年第1期7卷 34-43页

作者： Rafael Penadés Alexandre González-Rodríguez Rosa Catalán Bàrbara Segura Miquel Bernardo Carme Junqué Department of Psychiatry and Psychology Clinical Institute of NeurosciencesHospital Clínic Neuropsychology Lab University of Barcelona Institut d’Investigacions Biomèdiques August Pi i Sunyer

AIM To examine the effects of cognitive remediation therapies on brain functioning through neuroimaging procedures in patients with *** A systematic, computerised literature search was conducted in the PubM ed/Medline and PsychI nfo databases. The search was performed through February 2016 without any restrictions on language or publication date. The search was performed using the following search terms: [("cogniti*" and "remediation" or "training" or "enhancement") and("fMRI" or "MRI" or "PET" or "SPECT") and(schizophrenia or schiz*)]. The search was accompanied by a manual online search and a review of the references from each of the papers selected, and those papers fulfilling our inclusion criteria were also *** A total of 101 studies were found, but only 18 of them fulfilled the inclusion criteria. These studies indicated that cognitive remediation improves brain activation in neuroimaging studies. The most commonly reported changes were those that involved the prefrontal and thalamic regions. Those findings are in agreement with the hypofrontality hypothesis, which proposes that frontal hypoactivation is the underlying mechanism of cognitive impairments in schizophrenia. Nonetheless,great heterogeneity among the studies was found. They presented different hypotheses, different results and different findings. The results of more recent studies interpreted cognitive recovery within broader frameworks, namely, as amelioration of the efficiency of different networks. Furthermore, advances in neuroimaging methodologies, such as the use of wholebrain analysis, tractography, graph analysis, and other sophisticated methodologies of data processing, might be conditioning the interpretation of results and generating new theoretical frameworks. Additionally, structural changes were described in both the grey and white matter, suggesting a neuroprotective effect of cognitive remediation. Cognitive, functional and structural improvements tend

关键词： Cognitive remediation Cognitive training neuroimaging Cognition Prefrontal cortex Thalamus Plasticity Schizophrenia

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How random is the random forest ? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease neuroimaging initiative(ADNI) database

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Neural Regeneration Research 2018年第6期13卷 962-970页

作者： Stavros I.Dimitriadis Dimitris Liparas Division of Psychological Medicine and Clinical Neurosciences School of Medicine Cardiff University Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University School of Psychology Cardiff University Neuroinformatics Group Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Neuroscience and Mental Health Research Institute Cardiff University MRC Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University High Performance Computing Center Stuttgart (HLRS) University of Stuttgart Department of Informatics Aristotle University of Thessaloniki

Neuroinformatics is a fascinating research field that applies computational models and analytical tools to high dimensional experimental neuroscience data for a better understanding of how the brain functions or dysfunctions in brain diseases. Neuroinformaticians work in the intersection of neuroscience and informatics supporting the integration of various sub-disciplines（behavioural neuroscience, genetics, cognitive psychology, etc.） working on brain research. Neuroinformaticians are the pathway of information exchange between informaticians and clinicians for a better understanding of the outcome of computational models and the clinical interpretation of the analysis. Machine learning is one of the most significant computational developments in the last decade giving tools to neuroinformaticians and finally to radiologists and clinicians for an automatic and early diagnosis-prognosis of a brain disease. Random forest（RF） algorithm has been successfully applied to high-dimensional neuroimaging data for feature reduction and also has been applied to classify the clinical label of a subject using single or multi-modal neuroimaging datasets. Our aim was to review the studies where RF was applied to correctly predict the Alzheimer＇s disease（AD）, the conversion from mild cognitive impairment（MCI） and its robustness to overfitting, outliers and handling of non-linear data. Finally, we described our RF-based model that gave us the 1 ^（st） position in an international challenge for automated prediction of MCI from MRI data.

关键词： random forest Alzheimer's disease mild cognitive impairment neuroimaging classification machine learning biomarker magnetic resonance imaging

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Effects of Acupuncture on Alzheimer’s Disease: Evidence from neuroimaging Studies

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Chinese Journal of Integrative Medicine 2019年第8期25卷 631-640页

作者： YU Chao-chao MA Chao-yang WANG Hua KONG Li-hong ZHAO Yan SHEN Feng WU Miao College of Acupuncture and Orthopedics Hubei University of Chinese Medicine Wuhan (430061)China Department of Rehabilitation Wuhan Central Hospital Affiliated to Tongji Medical College Huazhong University of Science and Technology Wuhan (430014) China Hubei Provincial Collaborative Innovation Center of Preventive Treatment by Acupuncture and Moxibustion Hubei University of Chinese Medicine Wuhan (430061)China Hubei Provincial Hospital of Traditional Chinese Medicine Wuhan (430061)China Hubei Province Academy of Traditional Chinese Medicine Wuhan (430074)China

As the worldwide population ages, the prevalence of Alzheimer's disease (AD) increases. However, the results of promising medications have been unsatisfactory. Chinese acupuncture has a long history of treating dementia, but lack of evidence from well-designed randomized controlled trials that validate its efficacy and safety, as well as its lack of clear underlying mechanisms, contribute to its limited application in clinical practice. In recent years, brain imaging technologies, such as functional magnetic resonance imaging and positron emission tomography, have been used to assess brain responses to acupuncture in a dynamic, visual, and objective way. These techniques are frequently used to explore neurological mechanisms of responses to acupuncture in AD and provide neuroimaging evidence as well as starting points to elucidate the possible mechanisms. This review summarizes the existing brain imaging evidence that explains the effects of acupuncture for AD and analyzes brain responses to acupuncture at cognitive-related acupoints [Baihui (GV 20), Shenmen (HT 7), Zusanli (ST 36), Neiguan (PC 6), and Taixi (KI 3)] from perspectives of acupoint specificity and acupoint combinations. Key issues and directions to consider in future studies are also put forward. This review should deepen our understanding of how brain imaging studies can be used to explore the underlying mechanisms of acupuncture in AD.

关键词： acupuncture Alzheimer's disease brain response acupoint specificity neuroimaging

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Functional neuroimaging in the New Era of Big Data

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Genomics, Proteomics & Bioinformatics 2019年第4期17卷 393-401页

作者： Xiang Li Ning Guo Quanzheng Li Massachusetts General Hospital and Harvard Medical School

The field of functional neuroimaging has substantially advanced as a big data science in the past decade,thanks to international collaborative projects and community *** we conducted a literature review on functional neuroimaging,with focus on three general challenges in big data tasks:data collection and sharing,data infrastructure construction,and data analysis *** review covers a wide range of literature types including perspectives,database descriptions,methodology developments,and technical *** show how each of the challenges was proposed and addressed,and how these solutions formed the three core foundations for the functional neuroimaging as a big data science and helped to build the current data-rich and data-driven ***,based on our review of recent literature on the upcoming challenges and opportunities toward future scientific discoveries,we envisioned that the functional neuroimaging community needs to advance from the current foundations to better data integration infrastructure,methodology development toward improved learning capability,and multi-discipline translational research framework for this new era of big data.

关键词： Big data neuroimaging Machine learning Health informatics fMRI

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