Advances in neurobiology最新文献_第9页

Neural Circuitry-Related Biomarkers for Drug Development in Psychiatry: An Industry Perspective. 用于精神病学药物开发的神经回路相关生物标记物：行业视角。

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-69491-2_2

Patricio O'Donnell, Derek L Buhl, Jason Johannesen, Marijn Lijffijt

引用次数: 0

Magnetoencephalography in Psychiatry: A Perspective on Translational Research and Applications. 精神病学中的脑磁图：转化研究与应用透视》。

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-69491-2_6

Angelantonio Tavella, Peter J Uhlhaas

引用次数: 0

The Less Things Change, the More They Remain the Same: Impaired Neural Plasticity as a Critical Target for Drug Development in Neuropsychiatry. 变化越少，不变越多：受损的神经可塑性是神经精神病学药物开发的关键目标。

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-69491-2_26

Joshua T Kantrowitz, Daniel C Javitt

{"title":"The Less Things Change, the More They Remain the Same: Impaired Neural Plasticity as a Critical Target for Drug Development in Neuropsychiatry.","authors":"Joshua T Kantrowitz, Daniel C Javitt","doi":"10.1007/978-3-031-69491-2_26","DOIUrl":"https://doi.org/10.1007/978-3-031-69491-2_26","url":null,"abstract":"Neuropsychiatric disability is related to reduced ability to change in response to clinical interventions, e.g., plasticity. Study of biomarkers and interventional strategies for plasticity, however, are sparse. In this chapter, we focus on the serial frequency discrimination task (SFDT), which is sensitive to impairments in early auditory processing (EAP) and auditory learning and has been most thoroughly studied in dyslexia and schizophrenia. In the SFDT, participants are presented with repeated paired tones (\"reference\" and \"test\") and indicate which tone is higher in pitch. Plasticity during the SFDT is critically dependent upon interactions between prefrontal \"cognitive control\" regions, and lower-level perceptual and motor regions that may be detected using both fMRI and time-frequency event-related potential (TF-ERP) approaches. Additionally, interactions between the cortex and striatum give insights into glutamate/dopamine interaction mechanisms. The SFDT task has been utilized in the development of N-methyl-D-aspartate receptor (NMDAR) targeted medications, which significantly modulate sensory and premotor neurophysiological activity. Deficits in pitch processing play a critical role in impaired neuro- and social cognitive function in schizophrenia and may contribute to similar impairments in dyslexia. Thus, the SFDT may be ideal for development of treatments aimed at amelioration of neuro- and social cognitive deficits across neuropsychiatric disorders.","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"40 ","pages":"801-828"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomarkers of Auditory-Verbal Hallucinations. 听觉-言语幻觉的生物标志物

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-69491-2_22

Victoria L Fisher, Gabriel X Hosein, Boris Epié, Albert R Powers

引用次数: 0

Fractal Dimension Analysis in Neurological Disorders: An Overview. 神经系统疾病中的分形维度分析：概述。

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-47606-8_16

Leticia Díaz Beltrán, Christopher R Madan, Carsten Finke, Stephan Krohn, Antonio Di Ieva, Francisco J Esteban

{"title":"Fractal Dimension Analysis in Neurological Disorders: An Overview.","authors":"Leticia Díaz Beltrán, Christopher R Madan, Carsten Finke, Stephan Krohn, Antonio Di Ieva, Francisco J Esteban","doi":"10.1007/978-3-031-47606-8_16","DOIUrl":"10.1007/978-3-031-47606-8_16","url":null,"abstract":"Fractal analysis has emerged as a powerful tool for characterizing irregular and complex patterns found in the nervous system. This characterization is typically applied by estimating the fractal dimension (FD), a scalar index that describes the topological complexity of the irregular components of the nervous system, both at the macroscopic and microscopic levels, that may be viewed as geometric fractals. Moreover, temporal properties of neurophysiological signals can also be interpreted as dynamic fractals. Given its sensitivity for detecting changes in brain morphology, FD has been explored as a clinically relevant marker of brain damage in several neuropsychiatric conditions as well as in normal and pathological cerebral aging. In this sense, evidence is accumulating for decreases in FD in Alzheimer's disease, frontotemporal dementia, Parkinson's disease, multiple sclerosis, and many other neurological disorders. In addition, it is becoming increasingly clear that fractal analysis in the field of clinical neurology opens the possibility of detecting structural alterations in the early stages of the disease, which highlights FD as a potential diagnostic and prognostic tool in clinical practice.","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"36 ","pages":"313-328"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140100785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fractal Time Series: Background, Estimation Methods, and Performances. 分形时间序列：背景、估算方法和性能。

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-47606-8_5

Camillo Porcaro, Sadaf Moaveninejad, Valentina D'Onofrio, Antonio DiIeva

{"title":"Fractal Time Series: Background, Estimation Methods, and Performances.","authors":"Camillo Porcaro, Sadaf Moaveninejad, Valentina D'Onofrio, Antonio DiIeva","doi":"10.1007/978-3-031-47606-8_5","DOIUrl":"10.1007/978-3-031-47606-8_5","url":null,"abstract":"Over the past 40 years, from its classical application in the characterization of geometrical objects, fractal analysis has been progressively applied to study time series in several different disciplines. In neuroscience, starting from identifying the fractal properties of neuronal and brain architecture, attention has shifted to evaluating brain signals in the time domain. Classical linear methods applied to analyzing neurophysiological signals can lead to classifying irregular components as noise, with a potential loss of information. Thus, characterizing fractal properties, namely, self-similarity, scale invariance, and fractal dimension (FD), can provide relevant information on these signals in physiological and pathological conditions. Several methods have been proposed to estimate the fractal properties of these neurophysiological signals. However, the effects of signal characteristics (e.g., its stationarity) and other signal parameters, such as sampling frequency, amplitude, and noise level, have partially been tested. In this chapter, we first outline the main properties of fractals in the domain of space (fractal geometry) and time (fractal time series). Then, after providing an overview of the available methods to estimate the FD, we test them on synthetic time series (STS) with different sampling frequencies, signal amplitudes, and noise levels. Finally, we describe and discuss the performances of each method and the effect of signal parameters on the accuracy of FD estimation.","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"36 ","pages":"95-137"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140100794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fractal-Based Analysis of Arteriovenous Malformations (AVMs). 基于分形的动静脉畸形（AVM）分析。

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-47606-8_21

Antonio Di Ieva, Gernot Reishofer

{"title":"Fractal-Based Analysis of Arteriovenous Malformations (AVMs).","authors":"Antonio Di Ieva, Gernot Reishofer","doi":"10.1007/978-3-031-47606-8_21","DOIUrl":"10.1007/978-3-031-47606-8_21","url":null,"abstract":"Arteriovenous malformations (AVMs) are cerebrovascular lesions consisting of a pathologic tangle of the vessels characterized by a core termed the nidus, which is the \"nest\" where the fistulous connections occur. AVMs can cause headache, stroke, and/or seizures. Their treatment can be challenging requiring surgery, endovascular embolization, and/or radiosurgery as well. AVMs' morphology varies greatly among patients, and there is still a lack of standardization of angioarchitectural parameters, which can be used as morphometric parameters as well as potential clinical biomarkers (e.g., related to prognosis).In search of new diagnostic and prognostic neuroimaging biomarkers of AVMs, computational fractal-based models have been proposed for describing and quantifying the angioarchitecture of the nidus. In fact, the fractal dimension (FD) can be used to quantify AVMs' branching pattern. Higher FD values are related to AVMs characterized by an increased number and tortuosity of the intranidal vessels or to an increasing angioarchitectural complexity as a whole. Moreover, FD has been investigated in relation to the outcome after Gamma Knife radiosurgery, and an inverse relationship between FD and AVM obliteration was found.Taken altogether, FD is able to quantify in a single and objective value what neuroradiologists describe in qualitative and/or semiquantitative way, thus confirming FD as a reliable morphometric neuroimaging biomarker of AVMs and as a potential surrogate imaging biomarker. Moreover, computational fractal-based techniques are under investigation for the automatic segmentation and extraction of the edges of the nidus in neuroimaging, which can be relevant for surgery and/or radiosurgery planning.","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"36 ","pages":"413-428"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140100796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-47606-8_10

Diego Guidolin, Cinzia Tortorella, Raffaele De Caro, Luigi F Agnati

{"title":"A Self-Similarity Logic May Shape the Organization of the Nervous System.","authors":"Diego Guidolin, Cinzia Tortorella, Raffaele De Caro, Luigi F Agnati","doi":"10.1007/978-3-031-47606-8_10","DOIUrl":"10.1007/978-3-031-47606-8_10","url":null,"abstract":"From the morphological point of view, the nervous system exhibits a fractal, self-similar geometry at various levels of observations, from single cells up to cell networks. From the functional point of view, it is characterized by a hierarchical organization in which self-similar structures (networks) of different miniaturizations are nested within each other. In particular, neuronal networks, interconnected to form neuronal systems, are formed by neurons, which operate thanks to their molecular networks, mainly having proteins as components that via protein-protein interactions can be assembled in multimeric complexes working as micro-devices. On this basis, the term \"self-similarity logic\" was introduced to describe a nested organization where, at the various levels, almost the same rules (logic) to perform operations are used. Self-similarity and self-similarity logic both appear to be intimately linked to the biophysical evidence for the nervous system being a pattern-forming system that can flexibly switch from one coherent state to another. Thus, they can represent the key concepts to describe its complexity and its concerted, holistic behavior.","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"36 ","pages":"203-225"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140100770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multifractal Analysis of Brain Tumor Interface in Glioblastoma. 胶质母细胞瘤脑肿瘤界面的多分形分析

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-47606-8_25

Jacksson Sánchez, Miguel Martín-Landrove

引用次数: 0

Interactions Between Endogenous Opioids and the Immune System. 内源性阿片类药物与免疫系统之间的相互作用

Advances in neurobiology Pub Date : 2024-01-01 DOI: 10.1007/978-3-031-45493-6_3

Wei Du

引用次数: 0