Scalp acupuncture targets for neurological disorders：evidence from neuroimaging studies (part 2). / åŸºäºŽç¥žç»å½±åƒå­¦çš„å¸¸è§ç¥žç»ç³»ç»Ÿç–¾ç— å¤´é’ˆåˆºæ¿€é¶ç‚¹ç ”ç©¶ï¼ˆä¸‹ï¼‰.

OBJECTIVES: Scalp acupuncture is a method of treating diseases by dividing and stimulating the corresponding function-oriented cortical scalp areas. It is a commonly used therapy for neurological disorders. However, the specific target selection for scalp acupuncture remains to be explored. This manuscript aims to initiate an attempt to develop/identify scalp acupuncture targets based on neuroimaging findings and noninvasive brain stimulation. METHODS: Neurosynth-based meta-analysis of neuroimaging studies was conducted to identify brain stimulation targets of neurological disorders. The identified target regions were further projected to the scalp. The traditional acupoints and 10-20 EEG system were referenced for the localization of these targets. In this study, the "mild cognitive impairment" (MCI), "Alzheimer's disease" (AD) and "dementia" were used as the retrieval terms respectively, and a unity detection method was used to generate brain maps, with the default FDR (false discovery rate, P<0.01) threshold of Neurosynth set for subsequent exploration of various disease-related brain regions. The literature search was conducted on July 30, 2022. RESULTS: The localization and manipulation suggestions of neuroimage-based scalp acupuncture targets for MCI, AD, and dementia were introduced in the present paper (part 2). Here are 3 target examples for each of these 3 diseases due to word limitation. 1) MCI：Based on the 81 papers retrieved, we identified 6 potential scalp acupuncture points for MCI, their corresponding brain regions, brain functions and the possible resultant effects of the scalp target acupoint stimulation respectively are as below. MCI1：the orbital part of the left inferior frontal gyrus (left Brodmann area ［BA］47), related to semantic coding, working memory and episodic memory, improving semantic coding and memory function；MCI2：the anterior motor area/left anterior central gyrus (left BA6), the motor center area, improving MCI motor function；MCI3：the left medial temporal gyrus (left BA21), related to the processing of speech, visual space, language and word understanding, improving language and memory. 2) AD：Based on the 196 papers retrieved, we found 6 potential scalp acupuncture targets for AD, their corresponding brain regions and brain functions of the 3 example targets respectively are as below. AD1：the left medial temporal gyrus (left BA21), participating in language and semantic processing, sentence and word generation, intent expression, deductive reasoning；AD2：the left angular gyrus (left BA39), related to semantic processing, word reading and comprehension, memory retrieval, attention and spatial cognition, reasoning, etc.；AD3：the left fusiform/suboccipital gyrus (left BA37), related to semantic classification, text generation, sign language, phonology processing, etc. 3) Dementia：Based on the 142 papers retrieved, we found 4 potential scalp acupuncture targets for dementia, their corresponding brain regions, brain functions and the possible targets of the proposed scalp stimulation respectively are as below. D1 and D2：the left inferior frontal gyrus (i.e., left BA46, and left BA47, respectively), being closely related to working memory, emotional response regulation, melody and other processing processes, may be suitable for treating memory decline and advanced executive dysfunction in patients with dementia；D3：the left medial temporal gyrus (left BA21), an important brain region for various sensory integration, cognitive processing and memory functions, and emotional processing, may be suitable for temporal dementia. CONCLUSIONS: We identified scalp acupuncture targets for several common neurological disorders based on neuroimaging findings and noninvasive brain stimulation. The proposed targets may also be used for treating these disorders using nerve/brain stimulation methods.

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OBJECTIVES: Scalp acupuncture is a unique acupuncture method developed based on brain functional and pathophysiological knowledge. In past decades, there has been significant development in the understanding of the brain pathology of many neurological disorders through cutting-edge brain imaging techniques. Yet, these findings have not been incorporated into scalp acupuncture. In the present paper, we aimed to initiate an attempt to develop/identify scalp acupuncture targets based on neuroimaging findings. METHODS: Based on the meta-analysis of neuroimaging studies in the Neurosynth database platform (http：//neurosynth.org/), the brain clusters related to neurological disorders were automatically identified according to the search terms "Parkinson's disease"(PD), "chronic pain"(CP), "aphasia"(APH), "dyslexia"(DYS), "mild cognitive impairment", "Alzheimer's disease" and "dementia". Subsequently, the discovered brain region clusters projected onto the brain surface and scalp surface were listed, and the peak points of the clusters projected to the scalp surface were proposed as the potential stimulation targets for the corresponding diseases. Further, by combining the traditional scalp acupoints (including the scalp acupuncture lines) with 10-20 EEG system sites, we made localization suggestions for scalp stimulation targets and made acupuncture operation suggestions by combining with the shape of the brain region clusters. The literature search was conducted on July 30, 2022. RESULTS: The localization and manipulation suggestions of neuroimage-based scalp acupuncture targets were introduced in two parts. This part (part 1) includes PD, CP, APH, and DYS. Here are 3 target examples of each of these 4 diseases simply introduced due to word limitation. 1) PD. Based on the 175 articles retrieved from Neurosynth, we identified 7 potential scalp acupuncture targets for PD, the locations of the acupuncture stimulation and the recommended acupuncture needle operation (RANO) as well as the corresponding brain regions (CBRs) respectively are as below. PD1：about 0.5 cun (1 cun≈33.3 mm) superior-posterior to the left Xuanlu (GB5)；puncturing subcutaneously and forward-upward；the left premotor area, subfrontal cortex of the island, inferior frontal gyrus and middle frontal gyrus. PD2：about 1 cun lateral-inferior to the left Chengling (GB18)；puncturing subcutaneously and backward-upward；the inferior parietal lobule and postcentral gyrus. PD3：about 0.5 cun lateral-anterior to the left GB18；puncturing subcutaneously and inward-backward；left anterior central gyrus and posterior central gyrus. 2) CP. Based on the retrieved 92 articles, we identified 8 potential scalp acupuncture targets, the location of the acupuncture stimulation and the RANO, and CBRs respectively are as below. CP1：about 1 cun anterior-inferior to the left Xuanli (GB8)；puncturing subcutaneously and backward-inwards；the left inferior frontal gyrus orbitalis and pars triangularis. CP2：about 0.5 cun posterior-superior to the left GB5；puncturing subcutaneously and forward-upward；the left anterior central gyrus and premotor area. CP3：about 0.5 cun posterior-superior to the left GB8；puncturing subcutaneously and forward；left inferior central area/central sulci operculum (second somatosensory area). 3) APH. Based on the retrieved 82 papers, we identified 7 potential scalp acupuncture targets for APH, their locations, RANO, and CBRs respectively are as below. APH1：close to the left GB5；puncturing subcutaneously and forward-downward；left subfrontal gyrus operculi/triangularis. APH2：about 0.5 cun posterior to the left Hanyan (GB4)；puncturing subcutaneously and backward-upward；the left anterior central gyrus and posterior central gyrus. APH3：about 0.5 cun anterior-inferior to the left Qubin (GB7)；puncturing subcutaneously and backward-downward；left medial/superior temporal gyrus. 4) DYS. Based on the retrieved 76 researches, we identified 8 potential scalp acupuncture targets for DYS, their locations, RANO and CBRs respectively are as below. DYS1：about 1 cun anterior-inferior to the left GB5；puncturing subcutaneously and forward-upward；the pars triangularis of the left inferior frontal gyrus. DYS2：about 0.5 cun posterior-superior to the left GB5；puncturing subcutaneously and forward-downward；the left subfrontal gyrus operculum, pars triangularis and anterior central gyrus. DYS3：the midpoint between the left GB5 and GB18；puncturing subcutaneously and forward；the left anterior central gyrus and posterior central gyrus. CONCLUSIONS: We identified scalp acupuncture targets for several common neurological disorders based on neuroimaging evidence for clinical application and research. The proposed targets may also be used for treating these disorders using brain stimulation methods.

Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example.

BACKGROUND: Deep-learning (DL) methods are rapidly changing the way researchers classify neurological disorders. For example, combining functional magnetic resonance imaging (fMRI) and DL has helped researchers identify functional biomarkers of neurological disorders (e.g., brain activation and connectivity) and pilot innovative diagnostic models. However, the knowledge required to perform DL analyses is often domain-specific and is not widely taught in the brain sciences (e.g., psychology, neuroscience, and cognitive science). Conversely, neurological diagnoses and neuroimaging training (e.g., fMRI) are largely restricted to the brain and medical sciences. In turn, these disciplinary knowledge barriers and distinct specializations can act as hurdles that prevent the combination of fMRI and DL pipelines. The complexity of fMRI and DL methods also hinders their clinical adoption and generalization to real-world diagnoses. For example, most current models are not designed for clinical settings or use by nonspecialized populations such as students, clinicians, and healthcare workers. Accordingly, there is a growing area of assistive tools (e.g., software and programming packages) that aim to streamline and increase the accessibility of fMRI and DL pipelines for the diagnoses of neurological disorders. OBJECTIVES AND METHODS: In this study, we present an introductory guide to some popular DL and fMRI assistive tools. We also create an example autism spectrum disorder (ASD) classification model using assistive tools (e.g., Optuna, GIFT, and the ABIDE preprocessed repository), fMRI, and a convolutional neural network. RESULTS: In turn, we provide researchers with a guide to assistive tools and give an example of a streamlined fMRI and DL pipeline. CONCLUSIONS: We are confident that this study can help more researchers enter the field and create accessible fMRI and deep-learning diagnostic models for neurological disorders.

Advanced Techniques for MR Neuroimaging.

This special issue of Magnetic Resonance in Medical Sciences is dedicated to "Advanced Techniques for MR Neuroimaging," featuring nine review articles authored by leading experts. The reviews cover advancements in reproducible research practices, diffusion tensor imaging along the perivascular space, myelin imaging using magnetic susceptibility source separation, spinal cord quantitative MRI analysis, tractometry of visual white matter pathways, deep learning-based image enhancement, arterial spin labeling, the potential of radiomics, and MRI-based quantification of brain oxygen metabolism. These articles provide a comprehensive update on cutting-edge technologies and their applications in clinical and research settings, highlighting their impact on improving diagnostic accuracy and understanding of neurological disorders.

Advances in functional and structural imaging of the brainstem: implications for disease.

PURPOSE OF REVIEW: The brainstem's complex anatomy and relatively small size means that structural and functional assessment of this structure is done less frequently compared to other brain areas. However, recent years have seen substantial progress in brainstem imaging, enabling more detailed investigations into its structure and function, as well as its role in neuropathology. RECENT FINDINGS: Advancements in ultrahigh field MRI technology have allowed for unprecedented spatial resolution in brainstem imaging, facilitating the new creation of detailed brainstem-specific atlases. Methodological improvements have significantly enhanced the accuracy of physiological (cardiac and respiratory) noise correction within brainstem imaging studies. These technological and methodological advancements have allowed for in-depth analyses of the brainstem's anatomy, including quantitative assessments and examinations of structural connectivity within both gray and white matter. Furthermore, functional studies, including assessments of activation patterns and functional connectivity, have revealed the brainstem's roles in both specialized functions and broader neural integration. Notably, these investigations have identified alterations in brainstem structure and function associated with various neurological disorders. SUMMARY: The aforementioned developments have allowed for a greater appreciation of the importance of the brainstem in the wider context of neuroscience and clinical neurology.

Low-field MRI for use in neurological diseases.

PURPOSE OF REVIEW: To review recent clinical uses of low-field magnetic resonance imaging (MRI) to guide incorporation into neurological practice. RECENT FINDINGS: Use of low-field MRI has been demonstrated in applications including tumours, vascular pathologies, multiple sclerosis, brain injury, and paediatrics. Safety, workflow, and image quality have also been evaluated. SUMMARY: Low-field MRI has the potential to increase access to critical brain imaging for patients who otherwise may not obtain imaging in a timely manner. This includes areas such as the intensive care unit and emergency room, where patients could be imaged at the point of care rather than be transported to the MRI scanner. Such systems are often more affordable than conventional systems, allowing them to be more easily deployed in resource constrained settings. A variety of systems are available on the market or in a research setting and are currently being used to determine clinical uses for these devices. The utility of such devices must be fully evaluated in clinical scenarios before adoption into standard practice can be achieved. This review summarizes recent clinical uses of low-field MR as well as safety, workflows, and image quality to aid practitioners in assessing this new technology.

Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis.

This study extends the application of the frequency-domain new causality method to functional magnetic resonance imaging analysis. Strong causality, weak causality, balanced causality, cyclic causality, and transitivity causality were constructed to simulate varying degrees of causal associations among multivariate functional-magnetic-resonance-imaging blood-oxygen-level-dependent signals. Data from 1,252 groups of individuals with different degrees of cognitive impairment were collected. The frequency-domain new causality method was employed to construct directed efficient connectivity networks of the brain, analyze the statistical characteristics of topological variations in brain regions related to cognitive impairment, and utilize these characteristics as features for training a deep learning model. The results demonstrated that the frequency-domain new causality method accurately detected causal associations among simulated signals of different degrees. The deep learning tests also confirmed the superior performance of new causality, surpassing the other three methods in terms of accuracy, precision, and recall rates. Furthermore, consistent significant differences were observed in the brain efficiency networks, where several subregions defined by the multimodal parcellation method of Human Connectome Project simultaneously appeared in the topological statistical results of different patient groups. This suggests a significant association between these fine-grained cortical subregions, driven by multimodal data segmentation, and human cognitive function, making them potential biomarkers for further analysis of Alzheimer's disease.

PET brain imaging in neurological disorders.

Brain disorders are a series of conditions with damage or loss of neurons, such as Parkinson's disease (PD), Alzheimer's disease (AD), or drug dependence. These individuals have gradual deterioration of cognitive, motor, and other central nervous system functions affected. This degenerative trajectory is intricately associated with dysregulations in neurotransmitter systems. Positron Emission Tomography (PET) imaging, employing radiopharmaceuticals and molecular imaging techniques, emerges as a crucial tool for detecting brain biomarkers. It offers invaluable insights for early diagnosis and distinguishing brain disorders. This article comprehensively reviews the application and progress of conventional and novel PET imaging agents in diagnosing brain disorders. Furthermore, it conducts a thorough analysis on merits and limitations. The article also provides a forward-looking perspective in the future development directions of PET imaging agents for diagnosing brain disorders and proposes potential innovative strategies. It aims to furnish clinicians and researchers with an all-encompassing overview of the latest advancements and forthcoming trends in the utilization of PET imaging for diagnosing brain disorders.

FDG PET in Neurological Manifestations of COVID-19.

ABSTRACT: Both the central and peripheral nervous systems can be affected in COVID-19. Although MRI is the primary investigative tool for neurological imaging, FDG PET may show additional areas of involvement in the brain in the form of regional hypometabolism or hypermetabolism, secondary to synaptic dysfunction and electrical or glial activation. We present a case series of 4 patients who had neurological symptoms attributable to COVID-19 infection with abnormalities in the brain FDG PET scan.

The Potential Role of Preoperative Posterior Cerebral Artery Involvement in Predicting Postoperative Transient Neurological Deficits and Ischemic Stroke After Indirect Revascularization in Patients With Moyamoya Disease.

OBJECTIVE: Transient neurological deficits (TNDs) are known to develop after direct bypass for Moyamoya disease and may be risk factors for subsequent stroke. However, the factors involved in the development of TNDs and stroke after indirect revascularization alone, including their association with subsequent stroke, remain unclear. The purpose of this study was to investigate this issue. METHODS: The subjects of the study were 30 patients with Moyamoya disease who underwent a total of 40 indirect revascularization procedures at our institution. Clinical and radiological data were collected retrospectively. To examine factors associated with the development of postoperative TND/stroke/asymptomatic disease, the clinical characteristics of each group were statistically compared. RESULTS: The mean age at surgery was 7 years (range 1-63). TNDs developed after surgery in 9 out of 40 patients (22.5%). Stroke in the acute postoperative period occurred in 3 patients (7.5%), all of whom experienced cerebral infarctions. Demographic data and preoperative clinical information were not different between the groups. However, posterior cerebral artery involvement on preoperative imaging was significantly associated with the development of TNDs and stroke (P = 0.006). Furthermore, postoperative stroke was associated with unfavorable outcomes (P = 0.025). CONCLUSIONS: Posterior cerebral artery involvement is significantly associated with the occurrence of TNDs. In contrast, TNDs after indirect revascularization have little relationship with the subsequent development of stroke. TNDs usually resolve without new strokes, and a better understanding of this particular pathology could help establish an optimal treatment regimen.

Brain magnetic resonance imaging findings in children with neurological complications of coronavirus disease 2019 (Omicron variant): a multicenter retrospective observational study.

BACKGROUND: An increasing rate of encephalopathy associated with coronavirus disease 2019 (COVID-19) has been observed among children. However, the literature on neuroimaging data in children with COVID-19 is limited. OBJECTIVE: To analyze brain magnetic resonance imaging (MRI) of pediatric COVID-19 patients with neurological complications. MATERIALS AND METHODS: This multicenter retrospective observational study analyzed clinical (n=102, 100%) and neuroimaging (n=93, 91.2%) data of 102 children with COVID-19 infections and comorbid acute neurological symptoms. These children were hospitalized at five pediatric intensive care units (PICUs) in China between December 1, 2022, and January 31, 2023. RESULTS: All patients were positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as detected via reverse transcriptase polymerase chain reaction. About 75.7% of the children were infected with the Omicron variant BF.7 strain. Brain MRI was performed 1-12 days following the onset of neurological symptoms, which revealed acute neuroimaging findings in 74.2% (69/93) of cases, including evidence of acute necrotizing encephalopathy (33/69, 47.8%), encephalitis (31/69, 44.9%), reversible splenial lesion syndrome (3/69, 4.3%), reversible posterior leukoencephalopathy (1/69, 1.4%), and hippocampal atrophy (1/69, 1.4%). CONCLUSIONS: Overall, these data highlighted five neuroimaging patterns associated with the outbreak of the SARS-CoV-2 Omicron variant, with acute necrotizing encephalopathy being the most common of these neuroimaging findings. Rarely, the brain MRI of these pediatric COVID-19 patients also demonstrate hippocampal atrophy.

Advances in using ultrasound to regulate the nervous system.

Ultrasound is a mechanical vibration with a frequency greater than 20 kHz. Due to its high spatial resolution, good directionality, and convenient operation in neural regulation, it has recently received increasing attention from scientists. However, the mechanism by which ultrasound regulates the nervous system is still unclear. This article mainly explores the possible mechanisms of ultrasound's mechanical effects, cavitation effects, thermal effects, and the rise of sonogenetics. In addition, the essence of action potential and its relationship with ultrasound were also discussed. Traditional theory treats nerve impulses as pure electrical signals, similar to cable theory. However, this theory cannot explain the phenomenon of inductance and cell membrane bulging out during the propagation of action potential. Therefore, the flexoelectric effect of cell membrane and soliton model reveal that action potential may also be a mechanical wave. Finally, we also elaborated the therapeutic effect of ultrasound on nervous system disease such as epilepsy, Parkinson's disease, and Alzheimer's disease.

From Software to Hardware: A Case Series of Functional Neurological Symptoms and Cerebrovascular Disease.

OBJECTIVE: Neuroimaging studies have identified alterations in both brain structure and functional connectivity in patients with functional neurological disorder (FND). For many patients, FND emerges from physical precipitating events. Nevertheless, there are a limited number of case series in the literature that describe the clinical presentation and neuroimaging correlates of FND following cerebrovascular disease. METHODS: The authors collected data from two clinics in the United Kingdom on 14 cases of acute, improving, or delayed functional neurological symptoms following cerebrovascular events. RESULTS: Most patients had functional neurological symptoms that were localized to cerebrovascular lesions, and the lesions mapped onto regions known to be part of functional networks disrupted in FND, including the thalamus, anterior cingulate gyrus, insula, and temporoparietal junction. CONCLUSIONS: The findings demonstrate that structural lesions can lead to FND symptoms, possibly explained through changes in relevant mechanistic functional networks.

Oxygen extraction fraction (OEF) values and applications in neurological diseases.

One of the goals of this systematic review is to provide a meta-analysis-derived mean OEF of healthy volunteers. Another aim of this study is to indicate the OEF ranges of various neurological pathologies. Potential clinical applications of OEF metrics are presented. Peer-reviewed studies reporting OEF metrics derived from computed tomography (CT)/positron emission tomography (PET) and/or magnetic resonance imaging (MRI) were considered. Databases utilized included MEDLINE, PubMed, EMBASE, Web of Science, and Google Scholar. The Newcastle-Ottawa scoring system was used for evaluating studies. R Studio was utilized for the meta-analysis calculations when appropriate. The GRADE framework was utilized to assess additional findings. Of 2267 potential studies, 165 met the inclusion criteria. The healthy volunteer meta-analysis included 339 subjects and found a mean OEF value of 38.87 (37.38, 40.36), with a prediction interval of 32.40-45.34. There were no statistical differences in OEF values derived from PET versus MRI. We provided a GRADE A certainty rating for the use of OEF metrics to predict stroke occurrence in patients with symptomatic carotid or cerebral vessel disease. We provided a GRADE B certainty rating for monitoring treatment response in Moyamoya disease. Use of OEF metrics in diagnosing and/or monitoring other conditions had a GRADE C certainty rating or less. OEF might have a role in diagnosing and monitoring patients with symptomatic carotid or cerebral vessel disease and Moyamoya disease. While we found insufficient evidence to support measuring OEF metrics in other patient populations, in many cases, further studies are warranted.

Exploratory analysis of glial fibrillary acidic protein and ubiquitin C-terminal hydrolase L1 in management of patients with mild neurological symptoms undergoing head computed tomography scan at the emergency department: a pilot study from a Croatian tertiary hospital.

BACKGROUND: Diagnostic accuracy of glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) in identification of intracranial abnormalities detected by computed tomography (CT) in mild traumatic brain injury (mTBI), and in patients with mild neurological symptoms not caused by head trauma but suspected with a neurological disorder, was examined. METHODS: GFAP and UCH-L1 were determined using the chemiluminescence immunoassays on the Alinity i analyzer (Abbott Laboratories). RESULTS: Significantly higher GFAP (median 53.8 vs 25.7 ng/L, P < .001) and UCH-L1 (median 350.9 vs 153.9 ng/L, P < .001) were found in mTBI compared to non-head trauma patients. In mTBI diagnostic sensitivity (Se) and specificity (Sp) for the combination of GFAP and UCH-L1 were 100% and 30.9%, respectively, with area under the curve (AUC) 0.655. GFAP alone yielded Se 85.7%, Sp 41.8%, and AUC 0.638, while UCH-L1 yielded Se 57.1%, Sp 56.4%, and AUC 0.568. In non-head trauma patients, the combination of GFAP and UCH-L1 showed Se 100%, Sp 87.9%, and AUC 0.939, while GFAP alone demonstrated Se 100%, Sp 90.9%, and AUC 0.955. CONCLUSIONS: If these results are reproduced on a larger sample, GFAP and UCH-L1 may reduce CT use in patients with mild neurological symptoms after systemic causes exclusion and neurologist's evaluation.

Neurological Disorders and Women's Health: Contribution of Molecular Neuroimaging Techniques.

Sex differences in brain physiology and the mechanisms of drug action have been extensively reported. These biological variances, from structure to hormonal and genetic aspects, can profoundly influence healthy functioning and disease mechanisms and might have implications for treatment and drug development. Molecular neuroimaging techniques may help to disclose sex's impact on brain functioning, as well as the neuropathological changes underpinning several diseases. This narrative review summarizes recent lines of evidence based on PET and SPECT imaging, highlighting sex differences in normal conditions and various neurological disorders.

Assessing Neurological Complications in Thoracic Three-Column Osteotomy: A Clinical Application of a Novel MRI-Based Classification Approach.

STUDY DESIGN: Retrospective comparative study. OBJECTIVE: To investigate the occurrence of neurological complications in patients undergoing thoracic three-column osteotomy (3CO) utilizing an magnetic resonance imaging (MRI)-based classification that assesses spinal cord shape and the presence of cerebrospinal fluid at the curve apex and evaluate its prognostic capacity for postoperative neurological deficits. SUMMARY OF BACKGROUND DATA: Recent advancements in correction techniques have improved outcomes for severe spinal deformity patients undergoing 3CO. A novel MRI-based spinal cord classification system was introduced, but its validation and association with postoperative complications remain unexplored. MATERIALS AND METHODS: Between September 2012 and September 2018, a retrospective analysis was conducted on 158 adult patients with spinal deformities undergoing 3CO. Radiographic parameters were measured. T2-weighted axial MRI was used to describe spinal cord morphology at the apex. Intraoperative neurophysiological monitoring alerts were recorded, and preoperative and postoperative neurological functions were assessed using the Frankel score. Categorical data were compared using the χ 2 or the Fisher exact test. The paired t test was utilized to assess the mean difference between preoperative and postoperative measurements, while the one-way analysis of variance and independent t test were used for comparative analyses among the different spinal cord types. RESULTS: Patients were categorized into three groups: type 1, type 2, and type 3, consisting of 12, 85, and 61 patients. Patients with type 3 morphology exhibited larger Cobb angles of the main curve ( P <0.001). This disparity persisted both postoperatively and during follow-up ( P <0.05). Intraoperative neurophysiological monitoring alerts were triggered in 32 patients (20.3%), with a distribution of one case in type 1, six cases in type 2, and 22 cases in type 3 morphologies ( P <0.001). New neurological deficits were observed in 15 patients (9.5%), with 1, 3, and 11 cases in type 1, 2, and 3 morphologies, respectively. CONCLUSIONS: Patients with type 3 morphology exhibited greater spinal deformity severity, a higher likelihood of preoperative neurological deficits, and an elevated risk of postoperative neurological complications. This underscores the utility of the classification as a tool for predicting postoperative neurological complications in patients undergoing thoracic 3CO. LEVEL OF EVIDENCE: 4.

Imaging of brain barrier inflammation and brain fluid drainage in human neurological diseases.

The intricate relationship between the central nervous system (CNS) and the immune system plays a crucial role in the pathogenesis of various neurological diseases. Understanding the interactions among the immunopathological processes at the brain borders is essential for advancing our knowledge of disease mechanisms and developing novel diagnostic and therapeutic approaches. In this review, we explore the emerging role of neuroimaging in providing valuable insights into brain barrier inflammation and brain fluid drainage in human neurological diseases. Neuroimaging techniques have enabled us not only to visualize and assess brain structures, but also to study the dynamics of the CNS in health and disease in vivo. By analyzing imaging findings, we can gain a deeper understanding of the immunopathology observed at the brain-immune interface barriers, which serve as critical gatekeepers that regulate immune cell trafficking, cytokine release, and clearance of waste products from the brain. This review explores the integration of neuroimaging data with immunopathological findings, providing valuable insights into brain barrier integrity and immune responses in neurological diseases. Such integration may lead to the development of novel diagnostic markers and targeted therapeutic approaches that can benefit patients with neurological disorders.

Live Mapping of the Brain Extracellular Matrix and Remodeling in Neurological Disorders.

Live imaging of the brain extracellular matrix (ECM) provides vital insights into changes that occur in neurological disorders. Current techniques such as second or third-harmonic generation offer limited contrast for live imaging of the brain ECM. Here, a new method, pan-ECM via chemical labeling of extracellular proteins, is introduced for live brain ECM imaging. pan-ECM labels all major ECM components in live tissue including the interstitial matrix, basement membrane, and perineuronal nets. pan-ECM enables in vivo observation of the ECM heterogeneity between the glioma core and margin, as well as the assessment of ECM deterioration under stroke condition, without ECM shrinkage from tissue fixation. These findings indicate that the pan-ECM approach is a novel way to image the entire brain ECM in live brain tissue with optical resolution. pan-ECM has the potential to advance the understanding of ECM in brain function and neurological diseases.