Brain-X最新文献

{"title":"A novel neuronal circuit: Tanycytes mediate defensive metabolic responses following acute high-temperature exposure","authors":"Qi Chen,&nbsp;Anke Brüning-Richardson,&nbsp;Ruoli Chen,&nbsp;Shuang Zou,&nbsp;Yu-Long Lan","doi":"10.1002/brx2.70003","DOIUrl":"https://doi.org/10.1002/brx2.70003","url":null,"abstract":"<p>A schematic diagram of a proposed neural circuit for high temperature-induced feeding inhibition. Acute high temperature exposure activates excitatory neurons in the parabrachial nucleus brain area, promotes the release of vascular endothelial growth factor A from tanycytes, and acts on agouti-related protein neurons in the ARC brain area to inhibit feeding behavior.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reconstructing continuous language from brain signals measured by fMRI based brain-computer interface","authors":"Shurui Li,&nbsp;Yuanning Li,&nbsp;Ru-Yuan Zhang","doi":"10.1002/brx2.70001","DOIUrl":"https://doi.org/10.1002/brx2.70001","url":null,"abstract":"&lt;p&gt;Brain-computer interfaces (BCIs) are designed to bridge the gap between human neural activity and external devices. Previous studies have shown that speech and text can be decoded from signals recorded from intracranial electrodes.&lt;span&gt;&lt;sup&gt;1&lt;/sup&gt;&lt;/span&gt; Such applications can be used to develop neuroprostheses to restore speech function in patients with brain and psychiatric disorders.&lt;span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;/span&gt; These methods largely rely on invasive intracranial neural recordings that provide signals with high spatiotemporal resolution and high signal-to-noise ratio. Despite the advantage of being non-invasive, low temporal resolution means functional magnetic resonance imaging (fMRI) has rarely been used in this context to decode continuous speech, with its application primarily limited to coarse classification tasks.&lt;span&gt;&lt;sup&gt;3&lt;/sup&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;Despite this, fMRI-based neural encoding models have seen great progress in the last decade. For example, voxel-wise neural responses to continuous natural speech can be predicted using feature embeddings extracted from language models.&lt;span&gt;&lt;sup&gt;4&lt;/sup&gt;&lt;/span&gt; To reconstruct continuous speech from fMRI, three obstacles must be overcome. First, the brain's semantic representation regions are not clearly defined—previous research suggests a distributed network across various brain areas. Second, due to its temporal sluggishness, a single fMRI time point captures information from multiple preceding words within a 6–10-s window. Third, constraining the semantic space in language construction is challenging, as existing fMRI data capture only a fraction of the real semantic richness.&lt;/p&gt;&lt;p&gt;In a recently published study,&lt;span&gt;&lt;sup&gt;5&lt;/sup&gt;&lt;/span&gt; Tang and colleagues propose a Bayesian method to decode continuous language from brain responses measured by fMRI. Unlike previous attempts to decode semantic vectors (&lt;i&gt;S&lt;/i&gt;) directly from brain responses (&lt;i&gt;R&lt;/i&gt;), this study used brain responses as a control condition for language generation models. The goal was to invert the encoding model to identify the most appropriate stimulus. According to Bayesian theory, the decoder estimates the posterior distribution &lt;i&gt;P&lt;/i&gt;(&lt;i&gt;S&lt;/i&gt;|&lt;i&gt;R&lt;/i&gt;) and finds the stimuli &lt;i&gt;S&lt;/i&gt; that maximizes the posterior distribution given the neural response &lt;i&gt;R&lt;/i&gt;. Instead of directly building decoders that estimate &lt;i&gt;P&lt;/i&gt;(&lt;i&gt;S&lt;/i&gt;|&lt;i&gt;R&lt;/i&gt;), which is usually intractable due to the aforementioned difficulties, the authors took advantage of the Bayesian decoding framework that &lt;i&gt;P&lt;/i&gt;(&lt;i&gt;S&lt;/i&gt;|&lt;i&gt;R&lt;/i&gt;) ∝ &lt;i&gt;P&lt;/i&gt;(&lt;i&gt;S&lt;/i&gt;)&lt;i&gt;P&lt;/i&gt;(&lt;i&gt;R&lt;/i&gt;|&lt;i&gt;S&lt;/i&gt;) and focused instead on the encoding model &lt;i&gt;P&lt;/i&gt;(&lt;i&gt;R&lt;/i&gt;|&lt;i&gt;S&lt;/i&gt;).&lt;/p&gt;&lt;p&gt;This work successfully overcame the three main barriers to fMRI-based language decoding. First, to localize the brain voxels containing semantic information, encoding performance was used as a metric to select voxels for decoding. Second, to deal with the temporal sluggishness of blood oxygen level-dep","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review on investigating major depressive disorder and bipolar disorder using MRI and genetic data from 2018 to 2024","authors":"Kai Sun,&nbsp;Xin Wang,&nbsp;Guifei Zhou,&nbsp;Wenchao Lv,&nbsp;Rujia Song,&nbsp;Wei Wei,&nbsp;Zhenyu Liu,&nbsp;Changbin Yu","doi":"10.1002/brx2.70000","DOIUrl":"https://doi.org/10.1002/brx2.70000","url":null,"abstract":"<p>The incidence of affective disorders, of which major depression disorder (MDD) and bipolar disorder (BD) are two main types, has increased rapidly in recent years. They significantly impact patients, their families, and society. However, while affective disorders have become a major issue worldwide, their pathogenesis remains unclear. In the last 6 years, research using magnetic resonance imaging (MRI) and genetic data has gained prominence in understanding their pathophysiology and etiology. This systematic review collected the studies of MDD and BD research published between January 1, 2018, and February 1, 2024, focusing on studies using MRI and genetic data and indexed in the Web of Science and PubMed database. It aims to investigate the similarities and differences in their imaging phenotypes and underlying molecular bases. After exclusions, a total of 80 articles were included in this review. Research on MDD and BD reveals the critical role of epigenetic modifications, such as DNA methylation, in brain structure and function changes. The genes and pathways implicated in MDD are directly associated with depressive symptoms. In contrast, those implicated in BD are associated with mood regulation and cognitive functions. In addition, functional imaging studies have revealed that abnormalities in MDD are frequently concentrated in regions involved in emotion regulation and stress response. In contrast, those in BD are frequently concentrated in the neural circuits related to reward processing and emotional stability. Further multimodal and multiscale studies are needed to advance the field of mood disorder research.</p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142244535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Music therapy for depression: A narrative review","authors":"Xiaoman Wang,&nbsp;Wei Huang,&nbsp;Shuibin Liu,&nbsp;Chunhua He,&nbsp;Heng Wu,&nbsp;Lianglun Cheng,&nbsp;Songqing Deng","doi":"10.1002/brx2.72","DOIUrl":"https://doi.org/10.1002/brx2.72","url":null,"abstract":"<p>As living standards improve, mental and physical health have been gaining increasing attention. Presently, depression is one of the most severe mental health issues. Depression affects the quality of life of affected individuals because it lasts for a very long time and is generally difficult to cure. Currently, pharmacotherapy and psychotherapy are the two main approaches for treating depression. However, some principles and characteristics of pharmacotherapy remain unclear, and its side effects are significant and noticeable. In addition, ordinary psychotherapy requires the assistance of a qualified psychotherapist, which is usually hard to find and expensive. Both methods are burdensome to the patients, making it difficult for them to benefit. As an easy-to-obtain therapy, music therapy has been recommended by physicians as an auxiliary therapy for various diseases to regulate patients' emotions and help the primary treatment methods to obtain better therapeutic effects. This review investigates and summarizes recent articles on the pathogenesis of depression and the effects of music therapy on depression. Its results show that music therapy is effective and available. However, a systematic treatment plan has not yet been formulated due to the lack of samples and short follow-up times. Future studies should include more samples and follow-up patients after the treatment period to address the continuous effect and principle of music therapy.</p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.72","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141994153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-enabled delivery of drugs to the brain: Thinking outside the blood–brain barrier","authors":"Zhenghong Gao","doi":"10.1002/brx2.73","DOIUrl":"https://doi.org/10.1002/brx2.73","url":null,"abstract":"<p>In a groundbreaking study, Rezai et al. unveiled a promising avenue for treating Alzheimer's disease (AD) using aducanumab and a cutting-edge delivery method<span>¹</span> (Figure 1A). The team employed magnetic resonance-guided focused ultrasound (MRgFUS) to transiently open the blood–brain barrier (BBB), facilitating the transport of the drug from the blood circulation to the brain tissue. This resulted in a remarkable reduction in amyloid deposition in the treated cerebral area in three human patients. The study counters the drug delivery barriers of the brain by demonstrating the potential efficacy of this innovative approach in treating Alzheimer's.</p><p>MRgFUS stands out as a pivotal modality in brain drug delivery; it offers distinctive advantages, particularly in achieving high spatiotemporal resolution. This technology selectively and reversibly opens the BBB, primarily through the paracellular pathway. This noninvasive methodology presents a compelling approach to increasing the brain parenchyma's permeability to drugs. One key feature lies in the capacity to engineer the volume, shape, and depth of the focal spot in the brain tissue. This engineered precision caters to the specific requirements of treating diverse neurological diseases. The adaptability and precision of MRgFUS open avenues for targeted and efficacious interventions in the intricate landscape of brain-related pathologies.</p><p>Beyond the anticipated benefits of enhanced aducanumab (an FDA-approved amyloid beta-directed human monoclonal antibody indicated to treat Alzheimer's disease) delivery to the brain, the study implicated the intricate dynamics of drug/toxic complex diffusion and clearance within the human brain parenchyma. Notably, although the scientific discussion around the benefits of aducanumab is ongoing, ultrasound waves not only facilitate BBB opening but also interact with the brain parenchyma beyond the BBB to induce multiple effects<span>^{2, 3}</span> that could account for the overall benefit (Figure 1B).</p><p>Considering the importance of the extracellular space (ECS), perivascular space (PVS), and cerebrospinal fluid flow dynamics in modulating drug diffusion, distribution, and waste clearance,<span>⁴</span> several questions remain that require further investigation. First, does ultrasound expand the ECS? Second, does it impact the PVS? Third, can ultrasound enhance flow transport, improving the clearance of antibodies and degraded amyloid fragments? Fourth, how does ultrasound interact with brain cells (e.g., neurons, astrocytes, etc.)? Fifth, does any mechanical activation of the signaling pathway have an impact? Finally, how can the technology be translated and extended to increase the efficacy of other treatment modalities enabled by larger particles, such as antibody–drug conjugates, adeno-associated viruses, and lipid nanoparticles?</p><p>Some of these aspects have been studied in the preclinical animals' m","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.73","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141991598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peripheral sensory nerve regeneration: Novel target in bone tissue engineering","authors":"Lan Xiao,&nbsp;Jiaying Liu,&nbsp;Fuhua Yan,&nbsp;Yin Xiao","doi":"10.1002/brx2.71","DOIUrl":"https://doi.org/10.1002/brx2.71","url":null,"abstract":"<p>Synthetic biomaterials are emerging candidate solutions for treating large bone defects. However, the clinical performances of most synthetic materials are not satisfactory, with the need for improvement in design and synthesis. Although bone is highly innervated, the central role during healing of the peripheral nervous system, and in particular sensory nerves (SNs), has only recently been acknowledged. SNs can improve osteogenic differentiation of bone marrow stem/stromal cells through neurotransmitters and peptides; the interplay between SNs and the vascular system also facilitates vascular network reconstruction, indirectly facilitating bone healing. These factors suggest the importance of SNs in bone healing, a vital point that has been overlooked in bone biomaterial design until very recently. SN regeneration represents a novel direction in the development of biomaterials for bone regeneration. The current perspective paper summarizes the cellular and molecular mechanisms under the regulatory influence of SNs in the bone healing process and outlines the recent advances in biomaterials for innervated bone tissue regeneration. This establishes potential future directions for bone engineering biomaterial design.</p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.71","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances of therapy for Alzheimer's disease: An updated review","authors":"Can Mei,&nbsp;Jianbo Zhan,&nbsp;Shuzhen Zhu,&nbsp;Yutong Zhang,&nbsp;Chang-e Xiong,&nbsp;Jia Wang,&nbsp;Yu Jia Xu,&nbsp;Hua Zhong,&nbsp;Jing Cheng","doi":"10.1002/brx2.68","DOIUrl":"https://doi.org/10.1002/brx2.68","url":null,"abstract":"<p>Alzheimer's disease (AD) is a type of dementia characterized by a decline in brain function, which leads to the inability to perform activities independently. Many researchers recognize abnormalities related to beta-amyloid as the main cause of the disease (i.e., the beta-amyloid hypothesis), but aging, genetics, coronary heart disease, environmental factors, gender, and other risk factors may also contribute to AD development. Three drugs with different mechanisms are available for AD treatment: cholinesterase inhibitors, N-methyl d-aspartate, and aducanumab. This study reviewed the therapies that are already applied in clinical practice and those that are currently being investigated for clinical use. These therapies include not only pharmacological treatments but also non-pharmacological treatments, such as gut flora therapy and music therapy. A comprehensive understanding of these therapies is necessary to enable early intervention, improve patients' physical and mental conditions, delay the occurrence and development of AD, and extend patients' healthy lifespans.</p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.68","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A female patient with Alzheimer's disease via multimodality diagnostic approaches: A case report","authors":"Huijie Yu,&nbsp;Xudong Ma,&nbsp;Meijun Pang,&nbsp;Xuehai Fan,&nbsp;Yan Xing,&nbsp;Kuo Zhang,&nbsp;Ningnannan Zhang,&nbsp;Cai Li,&nbsp;Kai Yu,&nbsp;Xiuyun Liu","doi":"10.1002/brx2.69","DOIUrl":"https://doi.org/10.1002/brx2.69","url":null,"abstract":"<p>Alzheimer's disease (AD) is a neurodegenerative disease and the most common cause of dementia, accounting for around 60%–70% dementia cases.<span>¹</span> Normal pressure hydrocephalus (NPH) is one of the few reversible causes of dementia, accounting for approximately 6% of all dementias, among which, idiopathic normal pressure hydrocephalus (iNPH) happens mostly in elder people.<span>²</span> Due to the similarity of their symptoms, it is important to differentiate between iNPH and AD.<span>³</span> In this paper, we reported a case who were originally diagnosed with iNPH and were finally found to be an AD patient via multimodality diagnostic approaches.</p><p>A 57-year-old woman, who got a short-term memory decline 2 years ago, was admitted to Tianjin Medical University General Hospital (Tianjin, China) in October 2023. Her speech, numeracy, and social networking ability also declined. She went to a local hospital 2 years ago and was diagnosed with iNPH. She was admitted to our hospital as a result of her symptoms progressively getting worse over the past few months and her gait deteriorating. The doctors suspected her as an iNPH or AD patient, thus arranging magnetic resonance imaging (MRI), cerebrospinal fluid tap test (CSF TT), Infusion study, phase-contrast magnetic resonance imaging (PC-MRI) on the admission day.</p><p>As shown in Figure 1, the MRI showed significant ventricular dilation, with an Evans index (EI) of 0.38. However, her Callosal Angle was 90.6°, and presented a negative DESH sign (disproportionately enlarged subarachnoid space hydrocephalus). Obvious atrophies were found in temporal lobe and parahippocampal gyrus. The PC-MRI shows enhanced cerebrospinal fluid flow signals in the ventricular system, with thinning of cerebral white matter. The imaging manifestations didn't quite match the main features of iNPH, she looks more like a dementia or an AD patient.</p><p>The CSF TT is a clinical tool for the diagnosis of iNPH, and has been regarded as an important prediction tool of shunt effectiveness in patients with suspected iNPH.<span>⁴</span> During CSF TT, 30–50 mL CSF was released through a lumbar puncture, and patient's gait balance ability, bladder function, cognitive function was evaluated before and 24/48/72 h after CSF TT. No significant improvement was found after the CSF TT test.</p><p>Infusion study has been a well-defined method to assess the necessity of proceeding into shunt for iNPH patients. It offers several advantages and alternatives compared to traditional CSF TT, including short-testing duration, calculation of resistance to CSF outflow (Rout) and elasticity.<span>⁵</span> For this patient, the infusion study showed an opening pressure of 9 mmHg, and resistance of CSF was 3.53 mmHg × min/mL, which indicates smooth CSF circulation (Supporting Information S1).</p><p>The patient declared slight alleviation after the CSF TT, however, the clinical assessm","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.69","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141624244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in the pathogenesis, diagnosis, and treatment of sepsis-associated encephalopathy","authors":"Rui Wang,&nbsp;Wanda Bi,&nbsp;Siyuan Huang,&nbsp;Qiuju Han,&nbsp;Jin Deng,&nbsp;Zhen Wang,&nbsp;Ling Zeng,&nbsp;Jianxin Jiang","doi":"10.1002/brx2.67","DOIUrl":"https://doi.org/10.1002/brx2.67","url":null,"abstract":"<p>Sepsis is a life-threatening organ dysfunction syndrome caused by the host's dysregulated response to infection. The leading causes of death in critically ill patients are sepsis-associated encephalopathy (SAE), respiratory dysfunction, circulatory dysfunction, and other multi-organ dysfunctions. SAE is among the most common serious complications of sepsis and is associated with a poor prognosis and long-term cognitive dysfunction. Its clinical manifestations vary, and there are still no unified diagnostic criteria. The incidence of SAE varies from 9% to 71% in critically ill patients due to therapeutic interventions such as sedation, mechanical ventilation, and muscle relaxants. Advances in medical technology have significantly increased the survival rate of patients with sepsis, but up to 21% now experience long-term sequelae or cognitive impairment. The lack of specific early diagnostic and treatment methods leads to increased SAE-associated mortality and complications in patients, which also impose heavy economic burdens. This article reviews the pathogenesis and diagnostic methods of SAE and progress in its treatment, aiming to reduce the mortality and hospitalization lengths of patients with SAE and improve their survival rate and quality of life through early detection, diagnosis, and effective treatment.</p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.67","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141488327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An easy-to-follow handbook for electroencephalogram data analysis with Python","authors":"Zitong Lu,&nbsp;Wanru Li,&nbsp;Lu Nie,&nbsp;Kuangshi Zhao","doi":"10.1002/brx2.64","DOIUrl":"https://doi.org/10.1002/brx2.64","url":null,"abstract":"<p>This easy-to-follow handbook offers a straightforward guide to electroencephalogram (EEG) analysis using Python, aimed at all EEG researchers in cognitive neuroscience and related fields. It spans from single-subject data preprocessing to advanced multisubject analyses. This handbook contains four chapters: Preprocessing Single-Subject Data, Basic Python Data Operations, Multiple-Subject Analysis, and Advanced EEG Analysis. The Preprocessing Single-Subject Data chapter provides a standardized procedure for single-subject EEG data preprocessing, primarily using the MNE-Python package. The Basic Python Data Operations chapter introduces essential Python operations for EEG data handling, including data reading, storage, and statistical analysis. The Multiple-Subject Analysis chapter guides readers on performing event-related potential and time-frequency analyses and visualizing outcomes through examples from a face perception task dataset. The Advanced EEG Analysis chapter explores three advanced analysis methodologies, Classification-based decoding, Representational Similarity Analysis, and Inverted Encoding Model, through practical examples from a visual working memory task dataset using NeuroRA and other powerful packages. We designed our handbook for easy comprehension to be an essential tool for anyone delving into EEG data analysis with Python (GitHub website: https://github.com/ZitongLu1996/Python-EEG-Handbook; For Chinese version: https://github.com/ZitongLu1996/Python-EEG-Handbook-CN).</p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.64","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141488328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}