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This article presents a case study indicating that "Herpes simplex" virus (HSV) encephalitis may cause permanent learning disabilities due to damage to the temporal lobes, as it discusses the results of a case study extending over 10 years to determine the long-term effects on both the anatomy of the brain and the intellectual functioning of the subject. Magnetic resonance imaging (MRI) scans were taken of the subject during the initial HSV encephalitis infection and subsequently six months after recovery. Follow-up MRI scans were taken 10 years later. At this time the Senior South African Individual Scale--Revised IQ test was administered to determine any residual neuropsychological impairment due to HSV encephalitis infection. Follow-up MRI analysis indicated permanent bilateral necrotic areas in the medial temporal lobe, while the IQ test revealed marked impairment of the short-term memory, verbal memory, visual memory, visual scanning abilities and gestalt formation, which can be ascribed to temporal lobe lesions.

Author(s): Suriya Prakash Muthukrishnan [1]; Kuljeet Singh Anand (corresponding author) [2] Key Message: 'Generalized' spike-wave discharges of juvenile myoclonic epilepsy could be generated and propagated through a 'restricted' brain network [...], Background: Previous studies have localized the origin of "generalized" spike-wave discharges of idiopathic generalized epilepsies to specific brain regions. Although there are studies in juvenile myoclonic epilepsy (JME) which have investigated the origin of spike-wave discharges, reports on the propagation of discharges are sparse. Objective: The current study investigated the propagation of spike-wave discharges in JME, which was investigated by statistically comparing the electroencephalography (EEG)-derived cortical source activity during (a) various phases of spike-wave discharge versus background (eyes closed) activity, and (b) various phases of the first spike wave versus the corresponding phase of subsequent spike waves. Material and Methods: Fourteen patients with JME who had generalized spike/polyspike and slow wave discharges in interictal EEG were included in the study. A total of 179 spike waves (first discernible spike wave - 55; subsequent spike waves - 124) were selected for source localization. Source analysis was carried out using exact low-resolution electromagnetic tomography (eLORETA). Statistical analyses to estimate the probability distribution of differences in cortical activity between (a) eight phases of epileptic discharge versus background (eyes closed) activity and (b) phases of the first spike wave versus the corresponding phases of subsequent spike waves were performed by paired t-tests and corrected for multiple testing using LORETA-KEY software. Results: Widespread activation of cortical voxels (more than 94%) was observed during all phases of epileptic discharge except the initial phase (pre-first spike) and terminal phase (post-peak of the subsequent wave). The parietal lobe, which was the most activated lobe during the pre-first spike, was found to be the least activated during the post-peak of first and subsequent waves. More than 93% of voxels in the sublobar region were consistently activated during all eight phases of discharge. Conclusion: The study findings suggest that the activity generated from the restricted brain network involving parietal lobe could be propagated through sublobar structures to cause widespread cortical activation during the subsequent phases of the spike-wave cycle. Keywords: Epileptic discharge, idiopathic generalized epilepsies, interictal EEG, LORETA, source localization

Previous deep learning-based brain network research has made significant progress in understanding the pathophysiology of schizophrenia. However, it ignores the three-dimensional spatial characteristics of EEG signals and cannot dynamically learn the interactions between nodes. To address this issue, a schizophrenia classification model based on a three-dimensional adaptive graph convolutional neural network (3D-AGCN) is proposed. Each subject's EEG data is divided into various segment lengths and frequency bands for the experiment. The attention mechanism is then used to integrate the node features in the spatial, feature, and frequency band dimensions. The resulting adaptive brain functional network features are then constructed and fed into the GAT + GCN model. This adaptive approach eliminates the human-specified criteria for feature selection and brain network construction. The trial results demonstrated that, when using a 6-second segment length and time-domain and frequency-domain features, patients with first-episode schizophrenia achieved the highest classification accuracy of 87.64% This method outperforms other feature selection and brain network modeling approaches, providing new insights and directions for the early diagnosis and recognition of schizophrenia. [ABSTRACT FROM AUTHOR]

Introduction & objectivesMethodsResultsConclusionsAgitation is a common complication after an acute TBI in ICU patients. Professionals have a range of strategies to address agitation. Yet the absence of evidence-based guidelines and how these strategies are implemented complicates the management and safety may often be compromised for both ICU professionals and patients. This project explores experiences and attitudes of ICU-nurses to better understand the management of agitated behaviors in acute TBI-patients.Semi-structured interviews were conducted with 12 ICU-nurses from two Level-1 trauma centers in Canada. The interviews explored experiences and perceptions of managing agitation in critically ill TBI-patients. Interviews were analyzed using thematic analysis, facilitating the examination of how management practices interface with contextual variables and clinical strategies.Five themes were identified: (1) a variety of symptoms differing according to patient profile and time since awakening, (2) different agitation management approaches stem from different concerns, (3) strategies used by nurses to manage agitation, (4) contextual factors influence management, and (5) potential opportunities to improve integrated care model.This research describes nurses’ perceptions and helps understand management of agitation, by considering underlying contexts and factors affecting TBI-agitated patients management, how ICU itself contributes to agitation and potential areas for improvement. [ABSTRACT FROM AUTHOR]

The left and right sides of the brain show anatomical, neurochemical and functional differences. In the past century, brain and behavior lateralization was considered a human peculiarity associated with language and handedness. However, nowadays lateralization is known to occur among all vertebrates, from primates to fish. Fish, especially zebrafish (Danio rerio), have emerged as a crucial model for exploring the evolution and mechanisms of brain asymmetry. This review summarizes recent advances in zebrafish research on brain lateralization, highlighting how genetic tools, imaging, and transgenic methods have been used to investigate left–right asymmetries and their impact on sensory, cognitive, and social behaviors including possible links to neurodevelopmental and neurodegenerative disorders. [ABSTRACT FROM AUTHOR]

Background: Essential tremor (ET) is the most common neurological movement disorder with few treatments and limited therapeutic efficacy, research into noninvasive and effective treatments is critical. Abnormal cerebello-thalamo-cortical (CTC) loop function are thought to be significant pathogenic causes of ET, with the cerebellum and cortex are common targets for ET treatment. In recent years, transcranial magnetic stimulation (TMS) has been recognized as a promising brain research technique owing to its noninvasive nature and safety. In this study, we will use left M1 cortex continuous theta-burst stimulation (cTBS) combined with right cerebellar hemisphere 1 Hz repetitive transcranial magnetic stimulation (rTMS) dual-target stimulation to explore the Safety, feasibility and efficiency of this dual-target stimulation mode, and the mechanism of its therapeutic effect. Methods: Twenty-four patients with ET will be randomly assigned to three groups: dual-target stimulation, single-target stimulation, or sham stimulation. The single-target stimulation group will receive stimulation of the right cerebellar hemisphere for 10 days, whereas the dual-target stimulation group will be given stimulation of both the left M1 cortex and the right cerebellar hemisphere. The sham stimulation group will be given sham stimulation for 10 days. Tremor will be assessed using both the subjective The Essential Tremor Rating Assessment Scale (TETRAS) and objective accelerometer-based tremor analysis. at baseline (before stimulation), after the first, fifth, tenth days of treatment (D1, 5, 10), 24 h after 10 days of treatment (D10-24 h), and 1, 2, 3, and 4 weeks after stimulation (W1, 2, 3, 4). Discussion: This is a Phase 2 randomized, controlled, patient-assessor blinded clinical trial. The goal of this study is to investigate the Safety, feasibility and efficiency of TMS for the treatment of ET. [ABSTRACT FROM AUTHOR]

The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain–computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments. Beyond applications, neuroscience itself has inspired AI innovations, with neural architectures and brain-like processes shaping advances in learning algorithms and explainable models. This bidirectional exchange has fueled breakthroughs such as dynamic connectivity mapping, real-time neural decoding, and closed-loop brain–computer systems that adaptively respond to neural states. However, challenges persist, including issues of data integration, ethical considerations, and the "black-box" nature of many AI systems, underscoring the need for transparent, equitable, and interdisciplinary approaches. By synthesizing the latest breakthroughs and identifying future opportunities, this review charts a path forward for the integration of AI and neuroscience. From harnessing multimodal data to enabling cognitive augmentation, the fusion of these fields is not just transforming brain science, it is reimagining human potential. This partnership promises a future where the mysteries of the brain are unlocked, offering unprecedented advancements in healthcare, technology, and beyond. [ABSTRACT FROM AUTHOR]

Spatial transcriptomics (ST) represents a revolutionary approach in molecular biology, providing unprecedented insights into the spatial organization of gene expression within tissues. This review aims to elucidate advancements in ST technologies, their computational tools, and their pivotal applications in neuroscience. It is begun with a historical overview, tracing the evolution from early image‐based techniques to contemporary sequence‐based methods. Subsequently, the computational methods essential for ST data analysis, including preprocessing, cell type annotation, spatial clustering, detection of spatially variable genes, cell–cell interaction analysis, and 3D multi‐slices integration are discussed. The central focus of this review is the application of ST in neuroscience, where it has significantly contributed to understanding the brain's complexity. Through ST, researchers advance brain atlas projects, gain insights into brain development, and explore neuroimmune dysfunctions, particularly in brain tumors. Additionally, ST enhances understanding of neuronal vulnerability in neurodegenerative diseases like Alzheimer's and neuropsychiatric disorders such as schizophrenia. In conclusion, while ST has already profoundly impacted neuroscience, challenges remain issues such as enhancing sequencing technologies and developing robust computational tools. This review underscores the transformative potential of ST in neuroscience, paving the way for new therapeutic insights and advancements in brain research. [ABSTRACT FROM AUTHOR]

Electroencephalography (EEG) can reflect changes in brain activity under different states. The electrical signals of the brain are observed to exhibit varying amplitudes and frequencies. These variations are closely linked to different states of consciousness, influencing the internal and external behaviors, emotions, and learning performance of humans. The assessment of personal level of attention, which refers to the ability to consciously focus on something, can also be facilitated by these signals. Research on brain attention aids in the understanding of the mechanisms underlying human cognition and behavior. Based on the characteristics of EEG signals, this research identifies the most effective method for detecting brain attention by adapting various preprocessing and machine learning techniques. The results of our analysis on a publicly available dataset indicate that KNN with the feature importance feature extraction method performed the best, achieving 99.56% accuracy, 99.67% recall, and 99.44% precision with a rapid training time. [ABSTRACT FROM AUTHOR]

Backgrounds: Virtual reality (VR) has become a transformative technology with applications in gaming, education, healthcare, and psychotherapy. The subjective experiences in VR vary based on the virtual environment's characteristics, and electroencephalography (EEG) is instrumental in assessing these differences. By analyzing EEG signals, researchers can explore the neural mechanisms underlying cognitive and emotional responses to VR stimuli. However, distinguishing EEG signals recorded by two-dimensional (2D) versus three-dimensional (3D) VR environments remains underexplored. Current research primarily utilizes power spectral density (PSD) features to differentiate between 2D and 3D VR conditions, but the potential of other feature parameters for enhanced discrimination is unclear. Additionally, the use of machine learning techniques to classify EEG signals from 2D and 3D VR using alternative features has not been thoroughly investigated, highlighting the need for further research to identify robust EEG features and effective classification methods. Methods: This study recorded EEG signals from participants exposed to 2D and 3D VR video stimuli to investigate the neural differences between these conditions. Key features extracted from the EEG data included PSD and common spatial patterns (CSPs), which capture frequency-domain and spatial-domain information, respectively. To evaluate classification performance, several classical machine learning algorithms were employed: ssupport vector machine (SVM), k-nearest neighbors (KNN), random forest (RF), naive Bayes, decision Tree, AdaBoost, and a voting classifier. The study systematically compared the classification performance of PSD and CSP features across these algorithms, providing a comprehensive analysis of their effectiveness in distinguishing EEG signals in response to 2D and 3D VR stimuli. Results: The study demonstrated that machine learning algorithms can effectively classify EEG signals recorded during watching 2D and 3D VR videos. CSP features outperformed PSD in classification accuracy, indicating their superior ability to capture EEG signals differences between the VR conditions. Among the machine learning algorithms, the Random Forest classifier achieved the highest accuracy at 95.02%, followed by KNN with 93.16% and SVM with 91.39%. The combination of CSP features with RF, KNN, and SVM consistently showed superior performance compared to other feature-algorithm combinations, underscoring the effectiveness of CSP and these algorithms in distinguishing EEG responses to different VR experiences. Conclusions: This study demonstrates that EEG signals recorded during watching 2D and 3D VR videos can be effectively classified using machine learning algorithms with extracted feature parameters. The findings highlight the superiority of CSP features over PSD in distinguishing EEG signals under different VR conditions, emphasizing CSP's value in VR-induced EEG analysis. These results expand the application of feature-based machine learning methods in EEG studies and provide a foundation for future research into the brain cortical activity of VR experiences, supporting the broader use of machine learning in EEG-based analyses. [ABSTRACT FROM AUTHOR]

The Polish Institute for Brain Research was established in Warsaw in 1928 to support scientific research on the brain and its functions. The director of the institute was Maksymilian Rose (1883–1937), a distinguished Polish neurologist and neuroanatomist, a disciple of Oskar Vogt and Korbinian Brodmann. In 1931, the Institute was moved from Warsaw to Vilnius. The Institute was well-known in Europe at the time because of the research in the fields of neuroscience, clinical neurology, and psychiatry, as well as the cytoarchitectonic analysis of social activists' brains—a fashionable, neophrenological way to link the mental functions of deceased geniuses with the cellular composition of their central nervous systems. In 1939, the work of the Institute was interrupted by World War II; some of the preparations and materials were moved from Vilnius to Warsaw, some were stored in Vilnius, and some were lost. In this article, we analyze the primary and secondary sources, some of which were obscure for over 80 years, and evaluate the most important scientific achievements of the Polish Institute for Brain Research, as well as its legacy in the early period of modern neuroscience and neurology in interwar Vilnius. [ABSTRACT FROM AUTHOR]

Background: Huntington's disease (HD) is a multifaceted neurological disorder characterized by the progressive deterioration of motor, cognitive, and psychiatric functions. Despite a limited understanding of its pathogenesis, research has implicated abnormal trinucleotide cytosine-adenine-guanine CAG repeat expansion in the huntingtin gene (HTT) as a critical factor. The development of innovative strategies is imperative for the early detection of predictive biomarkers, enabling timely intervention and mitigating irreversible cellular damage. Lipidomics, a comprehensive analytical approach, has emerged as an indispensable tool for systematically characterizing lipid profiles and elucidating their role in disease pathology. Method: A MedLine search was performed to identify studies that use lipidomics for the characterization of HD. Search terms included "Huntington disease"; "lipidomics"; "biomarker discovery"; "NMR"; and "Mass spectrometry". Results: This review highlights the significance of lipidomics in HD diagnosis and treatment, exploring changes in brain lipids and their functions. Recent breakthroughs in analytical techniques, particularly mass spectrometry and NMR spectroscopy, have revolutionized brain lipidomics research, enabling researchers to gain deeper insights into the complex lipidome of the brain. Conclusions: A comprehensive understanding of the broad spectrum of lipidomics alterations in HD is vital for precise diagnostic evaluation and effective disease management. The integration of lipidomics with artificial intelligence and interdisciplinary collaboration holds promise for addressing the clinical variability of HD. [ABSTRACT FROM AUTHOR]

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Chronic insomnia has the potential to significantly impact physical well-being, occupational performance, and overall quality of life. This review summarizes the clinical and basic research on the central regulatory mechanism of acupuncture in treating primary insomnia (PI), aiming to explore the clinical effectiveness and possible mechanism of acupuncture in treating PI. The currently available drugs for insomnia exhibit notable adverse effects and tend to induce dependence. Empirical evidence from clinical investigations has demonstrated that acupuncture has a favorable safety profile while substantially enhancing the sleep quality of individuals diagnosed with PI. The combination of acupuncture and medication has been shown to augment the therapeutic efficacy of medication while reducing the dosage and mitigating the occurrence of unwanted effects. A review of the current clinical and basic research on the effects of acupuncture on central alterations in PI patients revealed that acupuncture exerts a regulatory influence on the functional activity of brain regions implicated in cognitive and emotional processes. Additionally, acupuncture has been found to impact metabolite levels and circadian clock gene expression and enhance inflammatory responses and energy metabolism. Notably, a single acupuncture intervention had a modulatory effect on functional brain regions similar to that of cumulative acupuncture. The current clinical trials on acupuncture have been limited in scale, and basic research has focused on a single objective. With the continuous progress of brain research, extensive clinical randomized controlled trials of high quality can be combined with various neuroimaging technology modalities. Moreover, different targets and pathways can be explored through basic research. This may serve to enhance the understanding of the fundamental central nervous system mechanisms involved in the efficacy of acupuncture in treating PI. [ABSTRACT FROM AUTHOR]

The effective management of brain tumors relies on precise typing, subtyping, and grading. We present the IPD-Brain Dataset, a crucial resource for the neuropathological community, comprising 547 high-resolution H&E stained slides from 367 patients for the study of glioma subtypes and immunohistochemical biomarkers. Scanned at 40x magnification, this dataset is one of the largest in Asia, specifically focusing on the Indian demographics. It encompasses detailed clinical annotations, including patient age, sex, radiological findings, diagnosis, CNS WHO grade, and IHC biomarker status (IDH1R132H, ATRX and TP53 along with proliferation index, Ki67), providing a rich foundation for research. The dataset is open for public access and is designed for various applications, from machine learning model training to the exploration of regional and ethnic disease variations. Preliminary validations utilizing Multiple Instance Learning for tasks such as glioma subtype classification and IHC biomarker identification underscore its potential to significantly contribute to global collaboration in brain tumor research, enhancing diagnostic precision and understanding of glioma variability across different populations. [ABSTRACT FROM AUTHOR]

Consumer-grade EEG devices, such as the InteraXon Muse 2 headband, present a promising opportunity to enhance the accessibility and inclusivity of neuroscience research. However, their effectiveness in capturing language-related ERP components, such as the N400, remains underexplored. This study thus aimed to investigate the feasibility of using the Muse 2 to measure the N400 effect in a semantic relatedness judgment task. Thirty-seven participants evaluated the semantic relatedness of word pairs while their EEG was recorded using the Muse 2. Single-trial ERPs were analyzed using robust Yuen t-tests and hierarchical linear modeling (HLM) to assess the N400 difference between semantically related and unrelated target words. ERP analyses indicated a significantly larger N400 effect in response to unrelated word pairs over the right frontal electrode. Additionally, dependability estimates suggested acceptable internal consistency for the N400 data. Overall, these findings illustrate the capability of the Muse 2 to reliably measure the N400 effect, reinforcing its potential as a valuable tool for language research. This study highlights the potential of affordable, wearable EEG technology to expand access to brain research by offering an affordable and portable way to study language and cognition in diverse populations and settings. [ABSTRACT FROM AUTHOR]

Background: Temporal interference electrical stimulation (TI) is promise in targeting deep brain regions focally. However, limited electric field intensity challenges its efficacy. Objective: This study aimed to introduce a high-current TI electrical stimulation protocol to enhance its intensity and evaluate its safety and efficacy when applied to the primary motor cortex (M1) in the human brain. Methods: Safety assessments included a battery of biochemical and neuropsychological tests (NSE, MoCA, PPT, VAMS-R, and SAS measurements), 5-min resting-state electroencephalography (EEG) recordings before and after 30-min high-current TI electrical stimulation sessions (20 Hz, 70 Hz, sham). Adverse reactions were also documented post-stimulation. Efficacy evaluations involved two motor tasks, the simple reaction time (SRT) task and the one-increment task, to investigate the distinct contributions of beta (20 Hz) and gamma (70 Hz) oscillations to motor functions. Results: Biochemical and neuropsychological tests revealed no significant differences between the groups. Additionally, no epileptic activities were detected in the EEG recordings. In the one-increment task, 20 Hz stimulation delayed participants' reaction time compared to the 70 Hz and sham groups. Conversely, in the SRT task, 70 Hz stimulation exhibited a tendency to enhance participants' performance relative to the sham group. Conclusion: The proposed high-current TI electrical stimulation is both safe and effective for stimulating the human brain. Moreover, the distinct effects observed in motor tasks underscore the dissociative roles of beta and gamma oscillations in motor functions, offering valuable insights into the potential applications of high-current TI electrical stimulation in brain stimulation research. [ABSTRACT FROM AUTHOR]

This article delves into the intricate relationship between neuroscience and education through the lens of Grigore T. Popa's work. Drawing on his contributions, the article argues that education must advance in parallel with developments in brain research, highlighting the pivotal role that neuroplasticity plays in the learning process. Furthermore, it expands on the notion that effective teaching is closely intertwined with mental health, underscoring the necessity for ongoing professional development among educators. By incorporating insights from contemporary thought leaders, the article advocates for a flexible and adaptive approach to educational practices. It emphasizes the imperative for the educational system to dynamically integrate neuroscientific findings into pedagogical frameworks in order to cultivate the competence of "learning how to learn", an essential skill that underpins both teacher training and effective classroom practice. [ABSTRACT FROM AUTHOR]

Basic values are the core element of culture, explaining many important differences in social, economic and political effects. Yet the nature and the composition of cultural value systems remains highly debatable. An emerging field of cultural neuroscience promises to shed light on how societies differ in their value systems and on the low-level mechanisms through which they operate. A systematic review of 47 experimental studies using different brain research methods is conducted to identify neural systems and processes, which can be associated with specific values, irrespective of interpretations given by the authors of original studies. Key findings were extracted and systematized according to Hofstede's and some other (Trompenaars' and Gelfand's) models of national cultures. From the perspective of existing accounts of cultural value systems, existing literature provides only a very fragmented and biased view of the neural processing of values. Absolute majority of existing evidence (37 studies) of cultural differences in the brain functions can be associated with individualism-collectivism value dimension. Affectivity-Neutrality is identified in 11 studies, Tightness-Looseness – 6, Power Distance – 3; Indulgence, Long-Term Orientation and Universalism – 2, and Uncertainty Avoidance – 1. Other value dimensions from the applied models of culture are not represented at all. Key problems limiting the contribution of the contemporary culture neuroscience to the comparative studies of cultural values include: researchers' theoretical framing within the independence-interdependence paradigm, resulting in the loss of a broader perspective and alternative interpretations of findings, the lack of focus on the direct comparison of values and value dimensions, insufficiently representative and biased samples. [ABSTRACT FROM AUTHOR]

Background Brain cancer is a devastating and incurable disease that places a high burden of care on next of kin (NOK). NOK can play a core role in supporting end-of-life planning, including the decision to donate one's brain after death. Postmortem brain donation is crucial to research. As postmortem programs develop it is important to understand the experiences of NOK as they support a loved one in the donation decision. Methods Thirteen qualitative interviews were completed with NOK of people who had consented to donate their brains to the Mark Hughes Foundation (MHF) Biobank. A thematic analysis was carried out on the transcribed interviews. Results Four central themes were identified: (i) The carer role has additional responsibilities and psychological benefits when brain donation is being considered; (ii) Supporting a loved one to donate requires mutual trust, understanding, and a commitment to honor agency; (iii) Increasing awareness of brain donation is a priority for NOK, and (iv) Brain donation is seen as a natural continuation of the donor's altruistic values. Conclusions When a person with brain cancer decides to donate their brain to research, their NOK can experience additional burdens and benefits as the NOK–patient relationship evolves. Understanding this evolution and recognizing the importance of trust, advocacy, and altruism provides a guide for the integration of brain donation programs into clinical pathways and a basis for normalizing brain donation as an extension of organ donation frameworks. [ABSTRACT FROM AUTHOR]

Hybrid depth electrodes are increasingly being used for epilepsy monitoring and human neurophysiology research. Microwires extending from the tip of the Behnke‐Fried (BF) electrode into (sub)cortical areas allow to isolate single neurons and perform microstimulation. Conventional CT or MRI visualize the entire microwire bundle as an artifact extending from the BF electrode tip with low resolution, without proper identification of individual microwires. We illustrate the first direct visualization method of individual microwires using high‐resolution photon‐counting CT (PCCT). Coregistration of the PCCT scan with a preoperative MRI can visualize individual wires directly in cortex, which is an advantage as it provides feedback on the accuracy of the implantation method and can guide future implantations. This PCCT technique allows for accurately depicting individual microwires which could be relevant for neuroscientific research through improved visualization and implantation of specific cortical and subcortical brain areas. Plain Language Summary: Researchers are using hybrid depth electrodes to study epilepsy and brain activity. These electrodes, called Behnke‐Fried (BF) electrodes, have microwires at the tip that can record single neurons and stimulate brain areas. Regular CT or MRI scans do not show the individual microwires clearly. The authors use a new high‐resolution photon‐counting CT (PCCT) technique, which can show each individual microwire in the brain. By combining PCCT with MRI, the authors can precisely see where the microwires are located. This could improve future implantation surgeries and brain research. [ABSTRACT FROM AUTHOR]

The cortical epigenetic clock was developed in brain tissue as a biomarker of brain aging. As one way to identify mechanisms underlying aging, we conducted a GWAS of cortical age. We leveraged postmortem cortex tissue and genotyping array data from 694 participants of the Rush Memory and Aging Project and Religious Orders Study (ROSMAP; 11000,000 SNPs), and meta-analysed ROSMAP with 522 participants of Brains for Dementia Research (5,000,000 overlapping SNPs). We confirmed results using eQTL (cortical bulk and single nucleus gene expression), cortical protein levels (ROSMAP), and phenome-wide association studies (clinical/neuropathologic phenotypes, ROSMAP). In the meta-analysis, the strongest association was rs4244620 (p = 1.29 × 10−7), which also exhibited FDR-significant cis-eQTL effects for CD46 in bulk and single nucleus (microglia, astrocyte, oligodendrocyte, neuron) cortical gene expression. Additionally, rs4244620 was nominally associated with lower cognition, faster slopes of cognitive decline, and greater Parkinsonian signs (n ~ 1700 ROSMAP with SNP/phenotypic data; all p ≤ 0.04). In ROSMAP alone, the top SNP was rs4721030 (p = 8.64 × 10−8) annotated to TMEM106B and THSD7A. Further, in ROSMAP (n = 849), TMEM106B and THSD7A protein levels in cortex were related to many phenotypes, including greater AD pathology and lower cognition (all p ≤ 0.0007). Overall, we identified converging evidence of CD46 and possibly TMEM106B/THSD7A for potential roles in cortical epigenetic clock age. [ABSTRACT FROM AUTHOR]

This article explores the continuation of the pathological morphology research program at neuroscience-related institutes from the Kaiser Wilhelm Society after World War II. It covers the research tradition in the brain sciences, which can be described by an emphasis on gross anatomy, the functional implications of morphological substrates, and the analysis of neurohistological research paths of the human brain in comparative contexts. To enable examination of the assimilation processes of the Kaiser Wilhelm Society's legacy, the decisions and developments of the newly created Max Planck Society in Germany and its early brain science facilities will be assessed for the time period from 1948 to 2002. Pertaining to these overall developments in the Max Planck Society, a persistence of the "morphological paradigm" (microanatomy, pathology, comparative anatomy, etc.) can be identified as lasting until the 1960s. The newer "functional paradigm" (neurophysiology, electroencephalography, cybernetics, and behavioral studies) only became more visible when the first generations of the scientific leaders left their positions in this national research society. It is of note that many directors and scientific members, including Detlev Ploog (1920–2005), Dieter Lux (1924–1995), Georg W. Kreutzberg (1932–2019), Otto Detlev Creutzfeldt (1927–1992), Hans Thönen (1928–2012), Manfred Eigen (1927–2019), Erwin Neher (b. 1944), Hartmut Wekerle (b. 1944), Albert Hertz (1921–2018), Bert Sakmann (b. 1942), and Wolf Singer (b. 1943) were part of the American Neuroscience Research Program as associates, members, conference chairs, or trainees. Likewise, they joined the Society for Neuroscience early on, after it had emerged from the Neuroscience Research Program's steering committee in 1969. This article seeks to clarify the context of the reorganization of the brain research-related Max Planck Institutes during the postwar period after World War II. Its trajectory includes the location of the institutes, their previous involvement in applied research, and personal continuities in scientific leadership positions, contributing to debates during the first decades of the Max Planck Society. The lens of pathological brain research emerges here as an important viewpoint to aid the understanding of the continued impact and concerns over the dominant morphological approaches in postwar West German neurology and psychiatry. [ABSTRACT FROM AUTHOR]

Rationale and objectives: Defacing research MRI brain scans is often a mandatory step. With current defacing software, there are issues with Windows compatibility and researcher doubt regarding the adequacy of preservation of brain voxels in non-T1w scans. To address this, we developed PyFaceWipe, a multiplatform software for multiple MRI contrasts, which was evaluated based on its anonymisation ability and effect on downstream processing. Materials and methods: Multiple MRI brain scan contrasts from the OASIS-3 dataset were defaced with PyFaceWipe and PyDeface and manually assessed for brain voxel preservation, remnant facial features and effect on automated face detection. Original and PyFaceWipe-defaced data from locally acquired T1w structural scans underwent volumetry with FastSurfer and brain atlas generation with ANTS. Results: 214 MRI scans of several contrasts from OASIS-3 were successfully processed with both PyFaceWipe and PyDeface. PyFaceWipe maintained complete brain voxel preservation in all tested contrasts except ASL (45%) and DWI (90%), and PyDeface in all tested contrasts except ASL (95%), BOLD (25%), DWI (40%) and T2* (25%). Manual review of PyFaceWipe showed no failures of facial feature removal. Pinna removal was less successful (6% of T1 scans showed residual complete pinna). PyDeface achieved 5.1% failure rate. Automated detection found no faces in PyFaceWipe-defaced scans, 19 faces in PyDeface scans compared with 78 from the 224 original scans. Brain atlas generation showed no significant difference between atlases created from original and defaced data in both young adulthood and late elderly cohorts. Structural volumetry dice scores were ≥ 0.98 for all structures except for grey matter which had 0.93. PyFaceWipe output was identical across the tested operating systems. Conclusion: PyFaceWipe is a promising multiplatform defacing tool, demonstrating excellent brain voxel preservation and competitive defacing in multiple MRI contrasts, performing favourably against PyDeface. ASL, BOLD, DWI and T2* scans did not produce recognisable 3D renders and hence should not require defacing. Structural volumetry dice scores (≥ 0.98) were higher than previously published FreeSurfer results, except for grey matter which were comparable. The effect is measurable and care should be exercised during studies. ANTS atlas creation showed no significant effect from PyFaceWipe defacing. [ABSTRACT FROM AUTHOR]

This article explores the continuation of the pathological morphology research program at neuroscience-related institutes from the Kaiser Wilhelm Society after World War II. It covers the research tradition in the brain sciences, which can be described by an emphasis on gross anatomy, the functional implications of morphological substrates, and the analysis of neurohistological research paths of the human brain in comparative contexts. To enable examination of the assimilation processes of the Kaiser Wilhelm Society’s legacy, the decisions and developments of the newly created Max Planck Society in Germany and its early brain science facilities will be assessed for the time period from 1948 to 2002. Pertaining to these overall developments in the Max Planck Society, a persistence of the “morphological paradigm” (microanatomy, pathology, comparative anatomy, etc.) can be identified as lasting until the 1960s. The newer “functional paradigm” (neurophysiology, electroencephalography, cybernetics, and behavioral studies) only became more visible when the first generations of the scientific leaders left their positions in this national research society. It is of note that many directors and scientific members, including Detlev Ploog (1920–2005), Dieter Lux (1924–1995), Georg W. Kreutzberg (1932–2019), Otto Detlev Creutzfeldt (1927–1992), Hans Thönen (1928–2012), Manfred Eigen (1927–2019), Erwin Neher (b. 1944), Hartmut Wekerle (b. 1944), Albert Hertz (1921–2018), Bert Sakmann (b. 1942), and Wolf Singer (b. 1943) were part of the American Neuroscience Research Program as associates, members, conference chairs, or trainees. Likewise, they joined the Society for Neuroscience early on, after it had emerged from the Neuroscience Research Program’s steering committee in 1969. This article seeks to clarify the context of the reorganization of the brain research-related Max Planck Institutes during the postwar period after World War II. Its trajectory includes the location of the institutes, their previous involvement in applied research, and personal continuities in scientific leadership positions, contributing to debates during the first decades of the Max Planck Society. The lens of pathological brain research emerges here as an important viewpoint to aid the understanding of the continued impact and concerns over the dominant morphological approaches in postwar West German neurology and psychiatry.

Environmental toxicants can impact brain health and function. Studying their effects on the rodent brain is paramount to understanding the mechanisms and devising therapies. The stereotaxic device is widely used to target brain regions. However, the cost of this device is very high and cannot be afforded by researchers from low- and low-middle-income countries. This study has modelled, designed, fabricated, and evaluated a cost-effective stereotaxic device. A 3-D model of the stereotaxic device was prepared using FUSION 360 software followed by fabrication using aluminium and steel. The aluminium has malleability, lightweight, high extrudability, and corrosion resistance property, making it the material of choice for fabricating the nose clamp, mouth restrainer, and ear bar. To construct the parts requiring motion, we used alloy steel, which has high density, tensile strength and smooth texture. To achieve better accuracy, computer numerical control (CNC) and an automatic wire-cutting (EDM) manufacturing processes were used in fabrication. Later, the dye microinjection and electrolytic lesion techniques were used to validate this instrument. A comparison of percent accuracy for hitting structures between the fabricated and commercial stereotaxic devices for both the deep and superficial brain structures such as the substantia nigra (91.7 vs. 92.5%), thalamus (92.6 vs. 98.22%) and hippocampus (92.85 vs. 98.75%), showcased comparable accuracies between devices. The cost of the materials used were approximately nine thousand Indian rupees, and the labour charges for different machining processes used were approximately seventeen thousand Indian rupees. Totalling to 26,000 Indian rupees or 310 US dollars. This cost may vary depending on the material type/vendor as well. The materials can be provided to a workshop, and the design reported here can be used to make a stereotaxic device for rodent research. The 3-D modeling approach presented here coupled with computerised numerical control/electronic discharge machining process achieves high precision comparable to a commercial product and is also affordable. This study will enable students/researchers in middle and low-income countries to perform neuroscience/toxicological studies on the brain using this self-made low-cost precision device. [ABSTRACT FROM AUTHOR]

Purpose: Immunohistochemical (IHC) and histochemical (HC) staining techniques are widely used on human brains that are post-fixed in formalin and stored in brain banks worldwide for varying durations, from months to decades. Understanding the effects of prolonged post-fixation, postmortem interval (PMI), and age on these staining procedures is important for accurately interpreting their outcomes, thereby improving the diagnosis and research of brain disorders afflicting millions of people worldwide. Methods: In this study, we conducted both IHC and HC staining on the prefrontal cortex of postmortem human brains post-fixed for 1, 5, 10, 15, and 20 years. For IHC staining, we used two antibodies for each marker: the neuron marker neuronal nuclear antigen (NeuN), the astrocyte marker glial fibrillary acidic protein (GFAP), and the microglia marker ionized calcium-binding adaptor molecule 1 (Iba1). For HC staining, we conducted hematoxylin and eosin Y (H&E), cresyl violet (CV), and Luxol fast blue (LFB) stains to examine neuropils, neurons, and myelin, respectively. Results: We observed that the intensity of NeuN, Iba1, CV, or LFB staining was negatively correlated with post-fixation durations. Conversely, we detected a positive correlation between the intensity of GFAP and H&E staining and post-fixation durations. Moreover, there was no correlation between the intensity of NeuN, GFAP, Iba1, H&E, CV, and LFB staining and PMI. Additionally, no correlation was found between these staining intensities and age, except for the intensity of GFAP immunostained by one antiserum, which was negatively correlated with age. Conclusion: Taken together, these findings suggest that prolonged post-fixation has both positive and negative effects, while age and PMI exert limited influence on these IHC and HC parameters. Therefore, it is essential to consider these differential changes when interpreting results derived from tissues with extended post-fixation durations. Furthermore, if feasible, we recommend conducting IHC and HC staining on human brains with the same post-fixation time spans and using the most optimal antibodies to mitigate the impact on subsequent analyses. [ABSTRACT FROM AUTHOR]

Motivated by our EU funded ERA chair projects, that require proposing reforms to yield the Greek academic system more competitive with a particular emphasis on fostering brain gain and preventing brain drain, we propose policy changes on a wide range of topics, based on our joint academic management experience inside and outside of Greece in conjunction with our diverse backgrounds in the humanities, computer science, and the life sciences. The proposed reforms can contribute to increase the competitiveness of Greece in research and development (R & D). We classify proposals by their associated costs and include a plethora of zero cost proposals that do have the potential to increase efficiency and net research time as well as to improve current working conditions in Greek academia. However, to yield Greece more competitive at the international level, reverse brain drain, and foster brain gain, substantial investments and increases of R&D expenditure are required which depend on political willingness and require a long term strategic development plan for Greece beyond being a tourist destination in the European periphery. [ABSTRACT FROM AUTHOR]

The article discusses the challenges and importance of conducting clinical trials for paediatric brain cancer in Australia and New Zealand. It highlights the significant impact of paediatric brain cancers on families and communities, emphasizing the need for expanded research and collaboration to improve outcomes. The Australian Brain Cancer Mission (ABCM) and the Australian and New Zealand Children's Haematology/Oncology Group (ANZCHOG) have been instrumental in addressing barriers to clinical trials through strategic funding and partnerships. The collaboration has led to the initiation of multiple clinical trials, showcasing the impact of international collaboration in advancing research efforts and improving survival rates for children with brain cancer. [Extracted from the article]

Background: Previous studies have found that the temporal duration required for males to perceive visual motion direction is significantly shorter than that for females. However, the neural correlates of such shortened duration perception remain yet unclear. Given that motion perception is primarily associated with the neural activity of the middle temporal visual complex (MT+), we here test the novel hypothesis that the neural mechanism of these behavioral sex differences is mainly related to the MT+ region. Methods: We utilized ultra-high field (UHF) MRI to investigate sex differences in the MT+ brain region. A total of 95 subjects (48 females) participated in two separate studies. Cohort 1, consisting of 33 subjects (16 females), completed task-fMRI (drafting grating stimuli) experiment. Cohort 2, comprising 62 subjects (32 females), engaged in a psychophysical experiment measuring motion perception along different temporal thresholds as well as conducting structural and functional MRI scanning of MT+. Results: Our findings show pronounced sex differences in major brain parameters within the left MT+ (but not the right MT+, i.e., laterality). In particular, males demonstrate (i) larger gray matter volume (GMV) and higher brain's spontaneous activity at the fastest infra-slow frequency band in the left MT+; and (ii) stronger functional connectivity between the left MT+ and the left centromedial amygdala (CM). Meanwhile, both female and male participants exhibited comparable correlations between motion perception ability and the multimodal imaging indexes of the MT+ region, i.e., larger GMV, higher brain's spontaneous activity, and faster motion discrimination. Conclusions: Our findings reveal sex differences of imaging indicators of structure and function in the MT+ region, which also relate to the temporal threshold of motion discrimination. Overall, these results show how behavioral sex differences in visual motion perception are generated, and advocate considering sex as a crucial biological variable in both human brain and behavioral research. Plain language summary: There are sex differences in visuospatial abilities between males and females, including the visual perception of motion information. However, the neural mechanism of these sex differences in motion perception remains yet unclear. To explore this question, we employed the joint task probing motion perception and ultra-high field (UHF) MRI. We found that the motion discrimination was faster in males compared to females. The sex differences were also prominent in major brain parameters in the MT+ region (the function brain regions of motion perception). Males demonstrate (i) larger gray matter volume (GMV) and higher brain's spontaneous activity in the left MT+ (but not right MT+, i.e., laterality); (ii) stronger functional connectivity between the left MT+ and the left centromedial amygdala (CM). Additionally, we observed that female and male participants exhibited comparable correlations between motion perception ability and the multimodal imaging indexes in the MT+ region, i.e., the larger GMV, the higher brain's spontaneous activity, and the faster motion discrimination. These results suggest that the sex differences in the structure and function of the MT+ region are the neural mechanism underlying the behavioral-level sex differences in motion perception. We demonstrate sex differences in the healthy human MT+ of the brain, possibly leading to sex differences in visual perception. This strongly support the consideration of sex as a crucial biological variable in both human brain and behavioral research. Highlights: In the left MT+ region, males exhibit larger GMV and higher spontaneous activity at the fastest infra slow frequency band compared to females. The functional connection between left MT+ and left centromedial amygdala in males is stronger than that in females. Female and male participants demonstrated comparable correlations between motion perception ability and the multimodal imaging indexes in the MT+ region (the function brain region of motion perception), i.e., the larger GMV, the higher spontaneous activity in MT+, and the faster motion discrimination. The relationship of motion discrimination and left MT+ GMV is indirect-only and mediated by the spontaneous activity of left MT+ in the fastest infra-slow frequency band. [ABSTRACT FROM AUTHOR]

The brain atlas is essential for exploring the anatomical structure and function of the brain. Non-human primates, such as cynomolgus macaque, have received increasing attention due to their genetic similarity to humans. However, current macaque brain atlases only offer coarse sections with intervals along the coronal direction, failing to meet the needs of single-cell resolution studies in functional and multi-omics research of the macaque brain. To address this issue, we utilized fluorescence micro-optical sectioning tomography to obtain sub-micron resolution cytoarchitectonic images of the macaque brain at the sagittal plane. Based on the obtained 8000 image sequences, a reference brain atlas comprising 45 sagittal sections was created, delineating 270 brain regions other than the cortex. Additionally, a website was established to share the reference atlas corresponding image data. This study is expected to provide an essential dataset and tool for scientists studying the macaque brain. [ABSTRACT FROM AUTHOR]

Background: The European Academy of Neurology (EAN) is a member of the European Brain Council (EBC), a coalition of neurologists, psychiatrists, neurosurgeons, neuroscientists, patient organizations and industry with an interest in the brain and its diseases. It was founded by the present author. Here, its formation, early history and the results of its advocacy are described. Method: Eyewitness report and relevant literature were considered. Results: After a long and difficult inception, the European Brain Council (EBC) brought all major players with an interest in the brain and its diseases to work closely together. Important data on the cost of brain diseases, lack of funding and fantastic research possibilities were generated and effectively used in advocacy. During the early years of the collaborative effort, the funding of brain research increased from €85 million in framework program (FP) 5 to €260 million in FP6 and to more than €2000 million in FP7. Conclusion: The EBC has been extremely successful. It is essential that advocacy in the European Union continues to be united so that those involved in brain research are able to speak with one voice to policy makers. An even bigger task, still insufficiently pursued, is for national brain councils to achieve prioritization of brain research in their national political agenda to bring about improved provision of care to those living with a brain disease. [ABSTRACT FROM AUTHOR]

Clinical heterogeneity is a significant factor to contend with when seeking to organize, understand, and treat psychopathology. In recent years, the field has prioritized efforts to minimize nonmeaningful heterogeneity and leverage meaningful heterogeneity to improve assessment and diagnostics, inform mechanistic understanding, and facilitate the development of novel treatments. Indeed, exciting developments such as the National Institute for Mental Health Research Domain Criteria and the Hierarchical Taxonomy of Psychopathology have provided powerful frameworks for facing clinical complexity. While these developments have spurred many advancements, the movement has yet to effectively harness the tremendous potential provided by the brain. Initial work incorporating brain data has focused on validating clinical observations with a biomarker rather than leveraging the brain to provide unique insight into meaningful clinical heterogeneity. To provide future guidance and examples of innovation in the area, we solicited articles from teams seeking to utilize brain research to manage clinical heterogeneity. The search resulted in a diverse illustration of how best to leverage brain data to greater mechanistic understanding and clinical utility. In this introduction, we consider this work and discuss strategies through which brain data can best be used to provide unique insight into clinical heterogeneity. As the science of psychopathology continues to grapple with the promise and costs inherent in utilizing this powerful and complex array of methodologies, it will be important to leverage unique insights from brain science. This special issue provides a useful guide for new and upcoming work and a catalyst for moving the field forward. General Scientific Summary: Clinical heterogeneity presents a significant scientific barrier to identifying mechanisms within disorders, within symptom dimensions across disorders, and in risk or etiology of a disorder, but advancements in brain research have significant potential to supplement and improve ongoing efforts to address heterogeneity. [ABSTRACT FROM AUTHOR]

Emotional disorders inflict an enormous burden on society. Research on brain abnormalities implicated in emotional disorders has witnessed great progress over the past decades. Using cross‐sectional and longitudinal designs, resting state functional magnetic resonance imaging (rs‐fMRI) and its analytic approaches have been applied to characterize the local properties of patients with emotional disorders. Additionally, brain activity alterations of emotional disorders have shown frequency‐specific. Despite the gains in understanding the roles of brain abnormalities in emotional disorders, the limitation of the small sample size needs to be highlighted. Lastly, we proposed that evidence from the positive psychology research stream presents it as a viable discipline, whose suggestions could be developed in future emotional disorders research. Such interdisciplinary research may produce novel treatments and intervention options. This article is categorized under:Psychology > Brain Function and Dysfunction [ABSTRACT FROM AUTHOR]

Despite limited studies on its mechanism, acupuncture have been shown to treat DOR. There is no relevant research on brain functional magnetic resonance and brain functional connectivity of acupuncture in treating DOR. We design this clinical trial to preliminarily elucidate the neuroimaging method of controlling the brain functional network and acupuncture impact in DOR patients using rs-fMRI. Methods: This study will involve 30 DOR patients and 30 healthy individuals. DOR patients will have rs-fMRI before and after 3 menstrual cycles of acupuncture, whereas healthy individuals will need one rs-fMRI scan. The primary end measures will be follicle-stimulating hormone (FSH) and AFC. In contrast, the secondary outcomes will be luteinizing hormone(LH), estradiol (E2), anti-Müllerian hormone (AMH), modified Kupperman scale, self-rating anxiety scale (SAS), self-rating depression scale (SDS), and rs-fMRI alterations. Results: This study uses rs-fMRI technology to identify the brain regions that differ between DOR patients and healthy people before and after acupuncture treatment. This study will connect brain regions, examine the effects of acupuncture on menstruation and pregnancy on DOR patients' brain function networks, and discuss neuroimaging methods. Conclusion: Acupuncture may have the potential to regulate menstruation and increase the chances of pregnancy promotion in patients with DOR. [ABSTRACT FROM AUTHOR]

Thermogenetics is a promising neuromodulation technique based on the use of heat-sensitive ion channels. However, on the way to its clinical application, a number of questions have to be addressed. First, to avoid immune response in future human applications, human ion channels should be studied as thermogenetic actuators. Second, heating levels necessary to activate these channels in vivo in brain tissue should be studied and cytotoxicity of these temperatures addressed. Third, the possibility and safety of chronic neuromodulation has to be demonstrated. In this study, we present a comprehensive framework for thermogenetic neuromodulation in vivo using the thermosensitive human ion channel hTRPV1. By targeting hTRPV1 expression to excitatory neurons of the mouse brain and activating them within a non-harmful temperature range with a fiber-coupled infrared laser, we not only induced neuronal firing and stimulated locomotion in mice, but also demonstrated that thermogenetics can be employed for repeated neuromodulation without causing evident brain tissue injury. Our results lay the foundation for the use of thermogenetic neuromodulation in brain research and therapy of neuropathologies. [ABSTRACT FROM AUTHOR]

Over the past decades, the focus of brain research has expanded from using strictly controlled stimuli towards understanding brain functioning in complex naturalistic contexts. Interest has increased in measuring brain processes in natural interaction, including classrooms, theatres, concerts and museums to understand the brain functions in the real world. Here, we examined how watching a live dance performance with music in a real‐world dance performance setting engages the brains of the spectators. Expertise in dance or music has been shown to modify brain functions, including when watching dance or listening to music. Therefore, we recorded electroencephalography (EEG) from an audience of dancers, musicians and novices as they watched the live dance performance and analysed their cortical oscillations. We compared intrabrain oscillations when participants watched the performance (with music) or listened to the music alone without the dance. We found that dancers have stronger fronto‐central and parieto‐occipital theta phase synchrony (4–8 Hz) than novices when watching dance, likely reflecting the effects of dance experience on motor imagery, multisensory and social interaction processes. Also, compared with novices, dancers had stronger delta phase synchrony (0.5–4 Hz) when listening to music, and musicians had stronger delta phase synchrony when watching dance, suggesting expertise in music and dance enhances sensitivity or attention to temporal regularities in movement and sound. [ABSTRACT FROM AUTHOR]

Infrared (IR) neuromodulation holds an increasing potential in brain research, which is fueled by novel neuroengineering approaches facilitating the exploration of the biophysical mechanism in the microscale. The group lays down the fundamentals of spatially controlled optical manipulation of inherently temperature‐sensitive neuronal populations. The concept and in vivo validation of a multifunctional, optical stimulation microdevice is presented, which expands the capabilities of conventional optrodes by coupling IR light through a monolithically integrated parabolic micromirror. Heat distribution in the irradiated volume is experimentally analyzed, and the performance of the integrated electrophysiological recording components of the device is tested in the neocortex of anesthetized rodents. Evoked single‐cell responses upon IR irradiation through the novel microtool are evaluated in multiple trials. The safe operation of the implanted device is also presented using immunohistological methods. The results confirm that shift in temperature distribution in the vicinity of the optrode tip can be controlled by the integrated photonic components, and in parallel with the optical stimulation, the device is suitable to interrogate the evoked electrophysiological activity at the single neuron level. The customizable and scalable optrode system provides a new pathway to tailor the location of the heat maximum during infrared neural stimulation. [ABSTRACT FROM AUTHOR]

Brain imaging research poses challenges due to the intricate structure of the brain and the absence of clearly discernible features in the images. In this study, we propose a technique for analyzing brain image data identifying crucial regions relevant to patients' conditions, specifically focusing on Diffusion Tensor Imaging data. Our method utilizes the Bayesian Dirichlet process prior incorporating generalized linear models, that enhances clustering performance while it benefits from the flexibility of accommodating varying numbers of clusters. Our approach improves the performance of identifying potential classes utilizing locational information by considering the proximity between locations as clustering constraints. We apply our technique to a dataset from Transforming Research and Clinical Knowledge in Traumatic Brain Injury study, aiming to identify important regions in the brain's gray matter, white matter, and overall brain tissue that differentiate between young and old age groups. Additionally, we explore a link between our discoveries and the existing outcomes in the field of brain network research. [ABSTRACT FROM AUTHOR]

Neurodegenerative disorders, including Alzheimer's disease and AD‐related dementias (AD/ADRD), pose significant challenges to health care systems globally, particularly in Africa. With the advances in medical technology and research capabilities, especially in next‐generation sequencing and imaging, vast amounts of data have been generated from AD/ADRD research. Given that the greatest increase in AD/ADRD prevalence is expected to occur in Africa, it is critical to establish comprehensive bioinformatics training programs to help African scientists leverage existing data and collect additional information to untangle AD/ADRD heterogeneity in African populations. The South Texas Alzheimer's Disease Research Center, with efforts from the National Institutes of Health and the Global Brain Health Institute, has partnered with the Brain Research Africa Initiative to develop the African Initiative on Bioinformatics Online Training in Neurodegenerative Disease (AI‐BOND). AI‐BOND is a comprehensive and accessible training program, the aim of which is to advance biostatistics and bioinformatics expertise in Africa in studying neurodegenerative diseases. This expertise is essential to enable African scientists to utilize the extensive AD/ADRD data and enhance the continent's ability to contribute to global research efforts in this field. The training addresses the gap in analyzing neurodegenerative disease data by providing skills and knowledge in genetic epidemiology, biostatistics, and bioinformatics to African students and researchers. This innovative online training program will last 6 months and provide training in skill sets R, SAS, and Python programing, genome‐wide association studies, genomics, transcriptomics, proteomics, metabolomics, microbiome analysis, and advanced statistical methods. Additional training will include study design and manuscript and grant writing. The first cohort of the AI‐BOND program will graduate in June 2024. The AI‐BOND program is expected to build research computational capacities in Africa that will improve the ability of graduates to conduct and utilize large‐scale studies, with the goal of curbing the growing incidence of neurodegenerative diseases in Africa. Highlights: Alzheimer's disease (AD) and AD‐related dementias (ADRD) pose significant health challenges globally, particularly in Africa.The most significant AD/ADRD prevalence increase is predicted to occur in Africa.It is crucial to establish a bioinformatics training capacity in Africa to leverage the vast number of multi‐omics and imaging biomarkers of AD/ADRD data being generated.The African Initiative on Bioinformatics Online Training in Neurodegenerative Disease (AI‐BOND) training addresses the gaps in study design, biostatistics, genetic epidemiology, and bioinformatics related to neurodegenerative diseases in Africa.The success of AI‐BOND is anticipated to help build computational research capacities in Africa. [ABSTRACT FROM AUTHOR]

At present, researches on brain fatigue recognition are still in the stage of single task and simple brain region network features, while researches on high-order brain functional network features and brain region state mechanisms during fatigue in multi-task scenarios are still insufficient, making it difficult to meet the needs of fatigue recognition under complex conditions. Therefore, this study utilized functional near-infrared spectroscopy (fNIRS) technology to explore the correlation and differences in the low-order and high-order brain functional network attributes of three task induced mental fatigue, and to explore the brain regions that have a major impact on mental fatigue. Self-training algorithms were used to identify the three levels of brain fatigue. The results showed that during the fatigue development, the overall connection strength of the endothelial cell metabolic activity and neural activity frequency bands of the low-order brain functional network first decreased and then increased, while the myogenic activity and heart rate activity frequency bands showed the opposite pattern. Network topology analysis indicated that from no fatigue to mild fatigue, the clustering coefficient of endothelial cell metabolic activity and myogenic activity frequency bands significantly decreased, while the characteristic path length of myogenic activity significantly increased; when experiencing severe fatigue, the small-world attribute of the neural frequency band significantly weakened. However, each frequency band maintained its small-world attribute, reflecting the self-optimization and adaptability of the network during the fatigue process. During mild fatigue, neuronal activity bands' node degree, cluster coefficient, and efficiency rose in high-order brain networks, while low-order networks showed no significant changes. As fatigue progressed, the myogenic activity bands of high-order network properties dominated, but neural bands gained prominence in mild fatigue, approaching the level of myogenic bands in severe fatigue, indicating that brain fatigue orchestrated a shift from myogenic to neural dominance in frequency bands. In addition, during the process of fatigue, the four network attributes of the high-order network cluster composed of low-order nodes related to the prefrontal cortex region, left anterior motor region, motor assist region, and left frontal lobe eye movement region significantly increased, indicating that these brain regions had a significant impact on brain fatigue status. The accuracy of using both high-order and low-order features to identify fatigue levels reached 88.095%, indicating that the combined network features of both high-order and low-order fNIRS signals could effectively detect multi-level mental fatigue, providing innovative ideas for fatigue warning. [ABSTRACT FROM AUTHOR]

• TMAS enhances spatial learning and memory abilities and novelty-seeking desire in mice. • Real-time TMAS promotes neural signal transmission in the hippocampal CA1 region of mice. • After TMAS, hippocampal CA1 neurons remain active for a period of time. • TMAS does not cause excessive anxiety in mice. As a new means of brain neuroregulation and research, transcranial magneto-acoustic stimulation (TMAS) uses the coupling effect of ultrasound and a static magnetic field to regulate neural activity in the corresponding brain areas. Calcium ions can promote the secretion of neurotransmitters and play a key role in the transmission of neural signals in brain cognition. In this study, to explore the effects of TMAS on cognitive function and neural signaling in the CA1 region of the hippocampus, TMAS was applied to male 2-month-old C57 mice with a magnetic field strength of 0.3 T and ultrasound intensity of 2.6 W/cm2. First, the efficiency of neural signaling in the CA1 region of the mouse hippocampus was detected by fiber photometry. Second, the effects of TMAS on cognitive function in mice were investigated through multiple behavioral experiments, including spatial learning and memory ability, anxiety and desire for novelty. The experimental results showed that TMAS could improve cognitive function in mice, and the efficiency of neural signaling in the CA1 area of the hippocampus was significantly increased during stimulation and maintained for one week after stimulation. In addition, the neural signaling efficiency in the CA1 area of the hippocampus increased in the open field (OF) experiment and recovered after one week, the neural signaling efficiency in the new object exploration (NOE) experiment was significantly enhanced, and the intensity slowed after one week. In conclusion, TMAS enhances cognitive performance and promotes neural signaling in the CA1 region of the mouse hippocampus. [ABSTRACT FROM AUTHOR]

Now entering its second decade, the National Institutes of Health Brain Research Through Advancing Innovative Neurotechnologies Initiative, or the NIH BRAIN Initiative, has yielded remarkable success, accelerating research on the neural circuit basis of behavior and breaking new ground toward the treatment of complex human brain disorders. [ABSTRACT FROM AUTHOR]

Olfactory dysfunction is associated with aging and the earliest stages of neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases; it is thought to be an early biomarker of cognitive decline. In marmosets, a small non-human primate model used in brain research, olfactory pathway activity during olfactory stimulation has not been well studied because of the difficulty in clearly switching olfactory stimuli inside a narrow MRI. Here, we developed an olfactory-stimulated fMRI system using a small-aperture MRI machine. The olfactory presentation system consisted of two tubes, one for supply and one for suction of olfactory stimulants and a balloon valve. A balloon valve installed in the air supply tube controlled the presentation of the olfactory stimulant, which enabled sharp olfactory stimulation within MRI, such as 30 s of stimulation repeated five times at five-minute intervals. The olfactory stimulation system was validated in vivo and in a simulated system. fMRI analysis showed a rapid increase in signal values within 30 s of olfactory stimulation in eight regions related to the sense of smell. As these regions include those associated with Alzheimer's and Parkinson's diseases, olfactory stimulation fMRI may be useful in clarifying the relationship between olfactory dysfunction and dementia in non-human primates. [ABSTRACT FROM AUTHOR]

Summary Radiological incidental findings (IFs) are previously undetected abnormalities which are unrelated to the original indication for imaging and are unexpectedly discovered. In brain magnetic resonance imaging (MRI), the prevalence of IFs is increasing. By reviewing the literature on IFs in brain MRI performed for research purposes and discussing ethical considerations of IFs, this paper provides an overview of brain IF research results and factors contributing to inconsistencies and considers how the consent process can be improved from an ethical perspective. We found that despite extensive literature regarding IFs in research MRI of the brain, there are major inconsistencies in the reported prevalence, ranging from 1.3% to 99%. Many factors appear to contribute to this broad range: lack of standardised definition, participant demographics variance, heterogenous MRI scanner strength and sequences, reporter variation and results classification. We also found significant discrepancies in the review, consent and clinical communication processes pertaining to the ethical nature of these studies. These findings have implications for future studies, particularly those involving artificial intelligence. Further research, particularly in relation to MRI brain IFs would be useful to explore the generalisability of study results. [ABSTRACT FROM AUTHOR]

AbstractObjectiveMethodResultsDemonstrate how patient-level traumatic brain injury (TBI) data from studies in the Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System can be harmonized and pooled to examine relationships between TBI and cognitive functioning.We harmonized and pooled data across studies and analyzed rates of probable cognitive functioning deficits by TBI history and severity.Four publicly available FITBIR studies with 3,445 participants included data on cognitive dysfunction, though only one included comparison groups (mild TBI vs. no history of TBI) and could be used in the final comparative analyses. Of the 1,539 participants, 82% had a history of mild TBI and 67% had data suggesting the presence of cognitive dysfunction. Participants with a history of mild TBI were mostly male (87%), 25–39 years old (53%), and Non-Hispanic White (60%). Conclusions: One publicly available FITBIR study reported cognitive dysfunction data as of January 2021, though findings were similar to prior research and supported an association between mild TBI and cognitive dysfunction. This proof-of-concept study shared newly developed methods including harmonization, analysis syntax, and meta-data via the FITBIR website to encourage dissemination of these TBI data resources in line with FAIR data goals. [ABSTRACT FROM AUTHOR]

Research on brain function in natural environments has become a new interest in cognitive science. In this study, we aim to advance mobile electroencephalography (EEG) participant and device mobility. We investigated the feasibility of measuring human brain activity using mobile EEG during a full-body motion task as swimming, by the example of cognitive-motor interference (CMI). Eleven participants were given an auditory oddball task while sitting and swimming, with mobile EEG recording ongoing brain activity. Measures of interest were event-related potentials (ERPs) elicited by experimental stimuli. While the auditory N100 was measured to verify signal quality, the P300 to task-relevant stimuli served as a marker of CMI effects. Analyzes were first performed within subjects, while binomial tests assessed the proportion of significant effects. Event-related changes in the time-frequency domain around turns during swimming were analyzed in an exploratory fashion. The successful recording of the N100 in all conditions shows that the setup was functional throughout the experiment. Regarding CMI, we did not find reliable changes in P300 amplitude in different motor settings in all subjects. However, we found plausible modulations in the alpha/mu and beta bands before and after turns. This study shows that it is generally feasible to measure mobile EEG in the time and time-frequency domain in an aquatic environment while subjects are freely moving. We see promising potential in the use of mobile EEG in extreme settings, advancing toward the application of mobile EEG in more real-life situations. [ABSTRACT FROM AUTHOR]

Postmortem human subject (PMHS) studies are essential to brain injury research in motor vehicle safety. However, postmortem deterioration reduces the similarity between postmortem test results and in vivo response in material testing of brain tissue and in biomechanical testing of the whole head. This pilot study explores the effect of potential preservatives on brain tissue breakdown to identify promising preservatives that warrant further investigation. To identify preservatives with potential to slow postmortem degradation, samples from an initial PMHS were refrigerated at 10°C to qualitatively compare tissue breakdown from 58 to 152 h postmortem after storage in candidate solutions. On brain tissue samples from a second PMHS, compressive stiffness was measured on six samples immediately after harvest for comparison to the stiffness of 23 samples that were stored at 10°C in candidate solutions for 24 h after harvest. The candidate solutions were artificial cerebrospinal fluid (ACSF) without preservatives; ACSF with a combination of antibiotics and antifungal agents; ACSF with added sodium bicarbonate; and ACSF with both the antibiotic/antifungal combination and sodium bicarbonate. Results were analyzed using multiple linear regression of specimen stiffness on harvest lobe and storage solution to investigate potential differences in tissue stiffness. Qualitative evaluation suggested that samples stored in a solution that contained both the antibiotic/antifungal combination and sodium bicarbonate exhibited less evidence of tissue breakdown than the samples stored without preservatives or with only one of those preservatives. In compression testing, samples tested immediately after harvest were significantly stiffer than samples tested after 24 h of storage at 10°C in ACSF (difference: −0.27 N/mm, 95% confidence interval (CI): −0.50, −0.05) or ACSF with antibiotics/antifungal agents (difference: −0.32 N/mm, 95% CI: −0.59, −0.04), controlling for harvest lobe. In contrast, the stiffness of samples tested after storage in either solution containing sodium bicarbonate was not significantly different from the stiffness of samples tested at harvest. There was no significant overall difference in the mean tissue stiffness between samples from the frontal and parietal lobes, controlling for storage solution. Given the importance of PMHS studies to brain injury research, any strategy that shows promise for helping to maintain in vivo brain material properties has the potential to improve understanding of brain injury mechanisms and tolerance to head injury and warrants further investigation. These pilot study results suggest that sodium bicarbonate has the potential to reduce the deterioration of brain tissue in biomechanical testing. The results motivate further evaluation of sodium bicarbonate as a preservative for biomechanical testing using additional test subjects, more comprehensive material testing, and evaluation under a broader set of test conditions including in whole‐head testing. The effect of antibiotics and antifungal agents on brain tissue stiffness was minimal but may have been limited by the cold storage conditions in this study. Further exploration of the potential for microbial agents to preserve tissue postmortem would benefit from evaluation of the effects of storage temperature. [ABSTRACT FROM AUTHOR]

Study Objectives: The Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System contains individual-patient-level traumatic brain injury (TBI) data, which when combined, allows for the examination of rates and outcomes for key subpopulations at risk for developing sleep disturbance. Methods: This proof-of-concept study creates a model system for harmonizing data (i.e., combining and standardizing data) across FITBIR studies for participants with and without a history of TBI to estimate rates of sleep disturbance and identify risk factors. Results: Three studies were eligible for harmonization (N = 1753). Sleep disturbance was common among those with a history of mild TBI (63%). Individuals with mild TBI were two to four times more likely to have sleep disturbance compared to those with no history of TBI. Conclusions: This study established methods, harmonization code, and meta-databases that are publicly available on the FITBIR website. We demonstrated how the harmonization of FITBIR studies can answer TBI research questions, showing that associations between TBI and sleep disturbance may be influenced by demographic factors. [ABSTRACT FROM AUTHOR]