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Synthesizing affective neurophysiological signals using generative models: A review paper J. Neurosci. Methods (IF 3.0) Pub Date : 2024-04-15 Alireza F. Nia, Vanessa Tang, Gonzalo Maso Talou, Mark Billinghurst
The integration of emotional intelligence in machines is an important step in advancing human–computer interaction. This demands the development of reliable end-to-end emotion recognition systems. However, the scarcity of public affective datasets presents a challenge. In this literature review, we emphasize the use of generative models to address this issue in neurophysiological signals, particularly
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Simultaneous isolation of intact brain cells and cell-specific extracellular vesicles from cryopreserved Alzheimer’s disease cortex J. Neurosci. Methods (IF 3.0) Pub Date : 2024-04-14 Mikhail Melnik, Emily Miyoshi, Ricky Ma, Maria Corrada, Claudia Kawas, Ryan Bohannan, Chad Caraway, Carol A. Miller, Jason D. Hinman, Varghese John, Tina Bilousova, Karen H. Gylys
The neuronal and gliaI populations within the brain are tightly interwoven, making isolation and study of large populations of a single cell type from brain tissue a major technical challenge. Concurrently, cell-type specific extracellular vesicles (EVs) hold enormous diagnostic and therapeutic potential in neurodegenerative disorders including Alzheimer’s disease (AD). Postmortem AD cortical samples
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Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain–computer interface and exoskeleton J. Neurosci. Methods (IF 3.0) Pub Date : 2024-04-09 Lei Liu, Jian Li, Rui Ouyang, Danya Zhou, Cunhang Fan, Wen Liang, Fan Li, Zhao Lv, Xiaopei Wu
Traditional therapist-based rehabilitation training for patients with movement impairment is laborious and expensive. In order to reduce the cost and improve the treatment effect of rehabilitation, many methods based on human–computer interaction (HCI) technology have been proposed, such as robot-assisted therapy and functional electrical stimulation (FES). However, due to the lack of active participation
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Affinity of structural white matter tracts between infant and adult pig J. Neurosci. Methods (IF 3.0) Pub Date : 2024-04-06 Wenwu Sun, Ishfaque Ahmed, Stephanie T. Dubrof, Hea Jin Park, Franklin D. West, Qun Zhao
The piglet brain has been increasingly used as an excellent surrogate for investigation of pediatric neurodevelopment, nutrition, and traumatic brain injuries. This study intends to establish a piglet brain’s structural connectivity model and compare it with the adult pig, enhancing its application for structurally guided functional analysis. In this study, diffusion-weighted (DW)-MRI data from piglets
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A practical test for retronasal odor identification based on aromatized tablets J. Neurosci. Methods (IF 3.0) Pub Date : 2024-04-05 Michal Pieniak, Can Tutar, Wiktoria Jedryczka, Hakim Benkhatar, Veronique Debroise Blanchard-Dignac, Antje Haehner, Thomas Hummel
Olfactory perceptions elicited by odors originating from within the body (retronasal olfaction) play a crucial role in well-being and are often disrupted in various medical conditions. However, the assessment of retronasal olfaction in research and the clinical practice is impeded by the lack of commercially available tests and limited standardization of existing testing materials. The novel ThreeT
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Concurrent spinal and brain imaging with optically pumped magnetometers J. Neurosci. Methods (IF 3.0) Pub Date : 2024-04-05 Lydia C. Mardell, Meaghan E. Spedden, George C. O’Neill, Tim M. Tierney, Ryan C. Timms, Catharina Zich, Gareth R. Barnes, Sven Bestmann
The spinal cord and its interactions with the brain are fundamental for movement control and somatosensation. However, brain and spinal electrophysiology in humans have largely been treated as distinct enterprises, in part due to the relative inaccessibility of the spinal cord. Consequently, there is a dearth of knowledge on human spinal electrophysiology, including the multiple pathologies that affect
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NeuroPorator: An open-source, current-limited electroporator for safe in utero gene transfer J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-28 Natálie Procházková, Minh-Thao Nguyenová, Monika Řehořová, Jan Kudláček, Jan Chvojka, Jakub Ziak, Martin Balaštík, Jakub Otáhal, Přemysl Jiruška, Ondřej Novák
Electroporation is an effective technique for genetic manipulation of cells, both and . electroporation (IUE) is a special case, which represents a fine application of this technique to genetically modify specific tissues of embryos during prenatal development. Commercially available electroporators are expensive and not fully customizable. We have designed and produced an inexpensive, open-design
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Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-28 Venkata Chunduri, Yassine Aoudni, Samiullah Khan, Abdul Aziz, Ali Rizwan, Nabamita Deb, Ismail Keshta, Mukesh Soni
In recent times, the expeditious expansion of Brain-Computer Interface (BCI) technology in neuroscience, which relies on electroencephalogram (EEG) signals associated with motor imagery, has yielded outcomes that rival conventional approaches, notably due to the triumph of deep learning. Nevertheless, the task of developing and training a comprehensive network to extract the underlying characteristics
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Ex-vivo systems for neuromodulation: A comparison of ex-vivo and in-vivo large animal nerve electrophysiology J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-26 Mafalda Ribeiro, Felipe R. Andreis, Leen Jabban, Thomas G.N.dS. Nielsen, Sergey V. Smirnov, Christof Lutteroth, Michael J. Proulx, Paulo R.F. Rocha, Benjamin Metcalfe
Little research exists on extending ex-vivo systems to large animal nerves, and to the best of our knowledge, there has yet to be a study comparing these against in-vivo data. This paper details the first ex-vivo system for large animal peripheral nerves to be compared with in-vivo results. Detailed ex-vivo and in-vivo closed-loop neuromodulation experiments were conducted on pig ulnar nerves. Temperatures
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Intraparenchymal near-infrared spectroscopy for detection of delayed cerebral ischemia in poor-grade aneurysmal subarachnoid hemorrhage J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-25 Jan F. Willms, Jens M. Boss, Shufan Huo, Stefan Wolf, Laura P. Westphal, Stefan Y. Bögli, Corinne Inauen, Dirk Baumann, Jürg Fröhlich, Emanuela Keller
Detection of delayed cerebral ischemia (DCI) is challenging in comatose patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH). Brain tissue oxygen pressure (PbtO2) monitoring may allow early detection of its occurrence. Recently, a probe for combined measurement of intracranial pressure (ICP) and intraparenchymal near-infrared spectroscopy (NIRS) has become available. In this pilot study
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Analysis of microstate features for Parkinson's disease based on reliability validation J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-24 Qingfang Guo, Shuo Liu, Lei Wang, Keke Feng, Shuo Yang
Parkinson's disease (PD) is a disorder with abnormal changes in brain activity. The lack of objective indicators makes the assessment of PD progression difficult. Assessment of brain activity changes in PD may offer a potential solution. Electroencephalogram (EEG) microstates reflect global dynamic changes in the brain. Therefore, we utilized microstates to assess changes in PD brain activity. However
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Generation of induced pluripotent stem cells from rat fibroblasts and optimization of its differentiation into mature functional neurons J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-24 Ram Kuwar, Ning Zhang, Adam McQuiston, Xuejun Wen, Dong Sun
Induced pluripotent stem cells (iPSCs) derived neural stem cells (NSCs) provide a potential for autologous neural transplantation therapy following neurological insults. Thus far, in preclinical studies the donor iPSCs-NSCs are mostly of human or mouse origin with concerns centering around graft rejection when applied to rat brain injury models. For better survival and integration of transplanted cells
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Measuring the replicability of our own research J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-21 Richard E. Brown
In the study of transgenic mouse models of neurodevelopmental and neurodegenerative disorders, we use batteries of tests to measure deficits in behaviour and from the results of these tests, we make inferences about the mental states of the mice that we interpret as deficits in "learning", "memory", "anxiety", "depression", etc. This paper discusses the problems of determining whether a particular
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Improving 3D edge detection for visual inspection of MRI coregistration and alignment J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-19 Chris Rorden, Taylor Hanayik, Daniel R. Glen, Roger Newman-Norlund, Chris Drake, Julius Fridriksson, Paul A. Taylor
Visualizing edges is critical for neuroimaging. For example, edge maps enable quality assurance for the automatic alignment of an image from one modality (or individual) to another. We suggest that using the second derivative (difference of Gaussian, or DoG) provides robust edge detection. This method is tuned by size (which is typically known in neuroimaging) rather than intensity (which is relative)
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Analysis of modulations of mental fatigue on intra-individual variability from single-trial event related potentials J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-16 Jia Liu, Yongjie Zhu, Fengyu Cong, Anders Björkman, Nebojsa Malesevic, Christian Antfolk
Intra-individual variability (IIV), a measure of variance within an individual’s performance, has been demonstrated as metrics of brain responses for neural functionality. However, how mental fatigue modulates IIV remains unclear. Consequently, the development of robust mental fatigue detection methods at the single-trial level is challenging. Based on a long-duration flanker task EEG dataset, the
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Multimodal active subspace analysis for computing assessment oriented subspaces from neuroimaging data J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-15 Ishaan Batta, Anees Abrol, Vince D. Calhoun, Alzheimer’s Disease Neuroimaging Initiative
For successful biomarker discovery, it is essential to develop computational frameworks that summarize high-dimensional neuroimaging data in terms of involved sub-systems of the brain, while also revealing underlying heterogeneous functional and structural changes covarying with specific cognitive and biological traits. However, unsupervised decompositions do not inculcate clinical assessment information
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Accelerometry as a tool for measuring the effects of transcranial magnetic stimulation J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-08 Gautier Hamoline, Elise E. Van Caenegem, Baptiste M. Waltzing, Pierre Vassiliadis, Gerard Derosiere, Julie Duque, Robert M. Hardwick
We predicted that accelerometry would be a viable alternative to electromyography (EMG) for assessing fundamental Transcranial Magnetic Stimulation (TMS) measurements (e.g. Resting Motor Threshold (RMT), recruitment curves, latencies). 21 participants were tested. TMS evoked responses were recorded with EMG on the First Dorsal Interosseus muscle and an accelerometer on the index fingertip. TMS was
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Unraveling brain diseases: The promise of brain-on-a-chip models J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-07 Letizia Cerutti, Martina Brofiga
Brain disorders, encompassing a wide spectrum of neurological and psychiatric conditions, present a formidable challenge in modern medicine. Despite decades of research, the intricate complexity of the human brain still eludes comprehensive understanding, impeding the development of effective treatments. Recent advancements in microfluidics and tissue engineering have led to the development of innovative
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Corrigendum to: “Towards the automated detection of interictal epileptiform discharges with magnetoencephalography” [J. Neurosci. Methods 403 (2024) 110052] J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-06 Raquel Fernández-Martín, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens
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A robust multi-branch multi-attention-mechanism EEGNet for motor imagery BCI decoding J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-06 Haodong Deng, Mengfan Li, Jundi Li, Miaomiao Guo, Guizhi Xu
Motor-Imagery-based Brain-Computer Interface (MI-BCI) is a promising technology to assist communication, movement, and neurological rehabilitation for motor-impaired individuals. Electroencephalography (EEG) decoding techniques using deep learning (DL) possess noteworthy advantages due to automatic feature extraction and end-to-end learning. However, the DL-based EEG decoding models tend to show large
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A biophysically constrained brain connectivity model based on stimulation-evoked potentials. J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-05 William Schmid, Isabel A. Danstrom, Maria Crespo Echevarria, Joshua Adkinson, Layth Mattar, Garrett P. Banks, Sameer A. Sheth, Andrew J. Watrous, Sarah R. Heilbronner, Kelly R. Bijanki, Alessandro Alabastri, Eleonora Bartoli
Single-pulse electrical stimulation (SPES) is an established technique used to map functional effective connectivity networks in treatment-refractory epilepsy patients undergoing intracranial-electroencephalography monitoring. While the connectivity path between stimulation and recording sites has been explored through the integration of structural connectivity, there are substantial gaps, such that
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Mapping lumbar efferent and afferent spinal circuitries via paddle array in a porcine model J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-05 A.G. Steele, G. Taccola, A.M. Frazier, M. Manzella, M. Hogan, P.J. Horner, A.H. Faraji, D.G. Sayenko
Preclinical models are essential for identifying changes occurring after neurologic injury and assessing therapeutic interventions. Yucatan miniature pigs (minipigs) have brain and spinal cord dimensions like humans and are useful for laboratory-to-clinic studies. Yet, little work has been done to map spinal sensorimotor distributions and identify similarities and differences between the porcine and
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The impact of simultaneous intracranial recordings on scalp EEG: A finite element analysis J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-02 Simeon M. Wong, Rohit Sharma, Ahmed Abushama, Ayako Ochi, Hiroshi Otsubo, George M. Ibrahim
In this study, we examined the utility of simultaneous scalp and stereotactic intracranial electroencephalography (SSIEEG) in epilepsy patients. Although SSIEEG offers valuable insights into epilepsy and cognitive function, its routine use is uncommon. Challenges include interpreting post-craniotomy scalp EEG due to surgically implanted electrodes. We describe our methodology for conducting SSIEEG
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GelMA hydrogel as a scaffold to enhance the survival and differentiation of human induced lateral ganglionic eminence precursor cells J. Neurosci. Methods (IF 3.0) Pub Date : 2024-03-02 Linh Nguyen, Amy McCaughey-Chapman, Bronwen Connor
Cell reprogramming holds enormous potential to revolutionize our understanding of neurological and neurodevelopmental disorders, as well as enhance drug discovery and regenerative medicine. We have developed a direct cell reprogramming technology that allows us to generate lineage-specific neural cells. To extend our technology, we have investigated the incorporation of directly reprogrammed human
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Decoding Autism: Uncovering patterns in brain connectivity through sparsity analysis with rs-fMRI data J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-29 Soham Bandyopadhyay, Santhoshkumar Peddi, Monalisa Sarma, Debasis Samanta
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A novel method of neurophysiological brainstem mapping in neurosurgery J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-28 Enrica Fava, Davide Colistra, Maria Fragale, Marco Cenzato
Brainstem mapping with electrical stimulation allows functional identification of neural structures during resection of deep lesions. Single pulses or train of pulses are delivered to map cranial nerves and corticospinal tracts, respectively. We introduce a hybrid stimulation technique for mapping the brainstem. The stimulus consists of an electrical single pulse followed by a short train of 3–5 pulses
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Delay estimation for cortical-muscular interaction with wavelet coherence time lag J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-28 Ting Wang, Mingze Xia, Junhong Wang, Anton Zhilenkov, Jian Wang, Xugang Xi, Lihua Li
Cortico-muscular coherence (CMC) between the cerebral cortex and muscle activity is an effective tool for studying neural communication in the motor control system. To accurately evaluate the coherence between electroencephalogram (EEG) and electromyogram (EMG) signals, it is necessary to accurately calculate the time delay between physiological signals to ensure signal synchronization. We proposed
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A method for studying escape behavior to terrestrial threats in rodents J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-26 Yueting Zhang, Jincheng Wang, Ruiqi Pang, Yanjie Zhang, Qiyue Deng, Xue Liu, Yi Zhou
Escape is one of the most essential behaviors for an animal's survival because it could be a matter of life and death. Much of our current understanding of the neural mechanisms underlying escape is derived from the looming paradigm, which mimics a diving aerial predator. Yet, the idea of the looming paradigm does not account for all types of threats like lions hunting antelopes or cats stalking mice
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Measuring spatial visual loss in rats by retinotopic mapping of the superior colliculus using a novel multi-electrode array technique J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-24 Deepthi S. Rajendran Nair, Juan Carlos-Martinez Camarillo, Gengxi Lu, Biju B. Thomas
The retinotopic map property of the superior colliculus (SC) is a reliable indicator of visual functional changes in rodents. Electrophysiological mapping of the SC using a single electrode has been employed for measuring visual function in rat and mouse disease models. Single electrode mapping is highly laborious requiring long-term exposure to the SC surface and prolonged anesthetic conditions that
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A method for detecting spatiotemporal patterns of cancer biomarkers-evoked activity using radial basis function network extracted time-domain features from calcium imaging data J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-24 Igor V. Shcherban, Victoria S. Fedotova, Aleksey E. Matukhno, Igor E. Shepelev, Oxana G. Shcherban, Larisa V. Lysenko
Two-photon calcium imaging is widely used to study the odor-evoked glomerular activity in the dorsal olfactory bulb of macrosmatic animals. The nonstationary character of activated patterns sets a limit on the use of a traditional image processing approaches. The developed method makes it possible to automatically map cancer biomarkers-activated glomeruli in the rat dorsal olfactory bulb. We interpolated
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Implementation of the EQIPD Quality System J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-23 Björn Gerlach, Marcus W. Meinhardt, Martien J.H. Kas
The EQIPD Quality System (QS) was conceptualized and established by an international consortium consisting of academic and industrial partners to ensure that non-regulated biomedical research will be conducted according to Good Research Practice expectations. The QS supports researchers to reflect on and improve internal practices by providing a systematic framework and guidance for implementing the
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Development of a vestibular schwannoma tumor slice model for pharmacological testing J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-21 Vera Nickl, Jonathan Fakler, David Ziebolz, Charlotte Rumpel, Linus Stabenow, Johanna Bernhagen, Eva Rampeltshammer, Ralf-Ingo Ernestus, Mario Löhr, Isabel Gugel, Cordula Matthies, Camelia M. Monoranu, Carsten Hagemann, Maria Breun
Our goal was to develop a 3D tumor slice model, replicating the individual tumor microenvironment and for individual pharmaceutical testing in vestibular schwannomas with and without relation to NF2. Tissue samples from 16 VS patients (14 sporadic, 2 NF2-related) were prospectively analyzed. Slices of 350 µm thickness were cultured , and the 3D tumor slice model underwent thorough evaluation for culturing
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In a century from agitated cells to human organoids J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-21 Paul Gottlob Layer
Reaching back more than a century, suspension cultures have provided major insights into processes of histogenesis; e.g., cell communication, distinction of self/nonself, cell sorting and cell adhesion. Besides studies on lower animals, the vertebrate retina served as excellent reaggregate model to analyze 3D reconstruction of a complex neural laminar tissue. Methodologically, keeping cells under suspension
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Systematic development of immunohistochemistry protocol for large cryosections-specific to non-perfused fetal brain J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-20 Karthika Pandurangan, Jaikishan Jayakumar, Stephen Savoia, Reetuparna Nanda, S. Lata, E. Harish Kumar, Suresh S., Sudha Vasudevan, Chitra Srinivasan, Jayaraj Joseph, Mohanasankar Sivaprakasam, Richa Verma
Immunohistochemistry (IHC) is an important technique in understanding the expression of neurochemical molecules in the developing human brain. Despite its routine application in the research and clinical setup, the IHC protocol specific for soft fragile fetal brains that are fixed using the non-perfusion method is still limited in studying the whole brain. This study shows that the IHC protocols, using
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Multiple averaged records to identify Aδ-fibers in sensory nerves J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-17 W. Raabe, D. Walk
Existing methods identify only ≈10 Aδ-fibers in human sensory nerves per recording. This study examines methods to increase the detection of Aδ-fibers. Two to 20 averages of 500 replicate responses to epidermal nerve stimulation are obtained. Pairs of different averages are constructed. Each pair is analyzed with algorithms applied to amplitude and frequency to detect replication of responses to stimulation
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Disconnecting prefrontal cortical neurons from the ventral midline thalamus: Loss of specificity due to progressive neural toxicity of an AAV-Cre in the rat thalamus J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-16 Elodie Panzer, Laurine Boch, Brigitte Cosquer, Iris Grgurina, Anne-Laurence Boutillier, Anne Pereira de Vasconcelos, Aline Stephan, Jean-Christophe Cassel
The thalamic reuniens (Re) and rhomboid (Rh) nuclei are bidirectionally connected with the medial prefrontal cortex (mPFC) and the hippocampus (Hip). Fiber-sparing N-methyl-D-aspartate lesions of the ReRh disrupt cognitive functions, including persistence of certain memories. Because such lesions irremediably damage neurons interconnecting the ReRh with the mPFC and the Hip, it is impossible to know
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Membrane-coated glass electrodes for stable, low-noise electrophysiology recordings in Drosophila central neurons J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-08 Angelica T. Jameson, Lucia K. Spera, Dieu Linh Nguyen, Elizabeth M. Paul, Masashi Tabuchi
Electrophysiological recording with glass electrodes is one of the best techniques to measure membrane potential dynamics and ionic currents of voltage-gated channels in neurons. However, artifactual variability of the biophysical state variables that determine recording quality can be caused by insufficient affinity between the electrode and cell membrane during the recording. We introduce a phospholipid
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Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-08 Valerie A. Porter, Brad A. Hobson, Brent Foster, Pamela J. Lein, Abhijit J. Chaudhari
Whole brain delineation (WBD) is utilized in neuroimaging analysis for data preprocessing and deriving whole brain image metrics. Current automated WBD techniques for analysis of preclinical brain MRI data show limited accuracy when images present with significant neuropathology and anatomical deformations, such as that resulting from organophosphate intoxication (OPI) and Alzheimer’s Disease (AD)
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Spatial nonstationarity of image noise in widefield optical imaging and its effects on cluster-based inference for resting-state functional connectivity J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-07 Brian R. White, Temilola E. Adepoju, Hayden B. Fisher, Russell T. Shinohara, Simon Vandekar
Resting-state functional connectivity (RSFC) analysis with widefield optical imaging (WOI) is a potentially powerful tool to develop imaging biomarkers in mouse models of disease before translating them to human neuroimaging with functional magnetic resonance imaging (fMRI). The delineation of such biomarkers depends on rigorous statistical analysis. However, statistical understanding of WOI data is
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Intracellular neural control of an active feeding structure in Aplysia using a carbon fiber electrode array J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-07 Yu Huan, Benjamin N. Tibbetts, Julianna M. Richie, Cynthia A. Chestek, Hillel J. Chiel
To study neural control of behavior, intracellular recording and stimulation of many neurons in freely moving animals would be ideal. However, current technologies limit the number of neurons that can be monitored and manipulated. A new technology has become available for intracellular recording and stimulation which we demonstrate in the tractable nervous system of . Carbon fiber electrode arrays
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A Personalized Semi-Automatic Sleep Spindle Detection (PSASD) Framework J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-30 MohammadMehdi Kafashan, Gaurang Gupte, Paul Kang, Orlandrea Hyche, Anhthi Luong, G.V. Prateek, Yo-El S. Ju, Ben Julian A. Palanca
Background Sleep spindles are distinct electroencephalogram (EEG) patterns of brain activity that have been posited to play a critical role in development, learning, and neurological disorders. Manual scoring for sleep spindles is labor-intensive and tedious but could supplement automated algorithms to resolve challenges posed with either approaches alone. New Methods A Personalized Semi-Automatic
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Corrigendum to “Real-time tracking of knee adduction moment in patients with knee osteoarthritis” [J. Neurosci. Methods 231 (2014) 9–17] J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-01 Sang Hoon Kang, Song Joo Lee, Li-Qun Zhang
Abstract not available
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Inference of network connectivity from temporally binned spike trains J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-02 Adam D. Vareberg, Ilhan Bok, Jenna Eizadi, Xiaoxuan Ren, Aviad Hai
Processing neural activity to reconstruct network connectivity is a central focus of neuroscience, yet the spatiotemporal requisites of biological nervous systems are challenging for current neuronal sensing modalities. Consequently, methods that leverage limited data to successfully infer synaptic connections, predict activity at single unit resolution, and decipher their effect on whole systems,
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Selective REM sleep restriction in mice using a device designed for tunable somatosensory stimulation J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-30 Dillon M. Huffman, Asma’a A. Ajwad, Anuj Agarwal, Michael E. Lhamon, Kevin Donohue, Bruce F. O’Hara, Sridhar Sunderam
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Cortical stimulation depth of nTMS investigated in a cohort of convexity meningiomas above the primary motor cortex J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-01 Maximilian Schwendner, Axel Schroeder, Kim Job, Bernhard Meyer, Sebastian Ille, Sandro M. Krieg
In clinical routine, navigated transcranial magnetic stimulation (nTMS) is usually applied down to 25mm. Yet, besides clinical experience and mathematical models, the penetration depth remains unclear. nTMS stimulation data was reviewed regarding the maximum depth of stimulations eliciting motor-evoked potentials (MEPs). Additionally, electric field values and stimulation intensity were analyzed. Out
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A partial habituation method to test for anterograde and retrograde amnestic treatment effects: Evidence that antagonism of the NMDA receptor can induce anterograde but not retrograde amnestic effects J. Neurosci. Methods (IF 3.0) Pub Date : 2024-02-01 Joaquim Barbosa Leite Junior, João Marcos de Mello Bastos, Flávia Regina Cruz Dias, Richard Ian Samuels, Robert J. Carey, Marinete Pinheiro Carrera
A progressive decrease in spontaneous locomotion with repeated exposure to a novel environment has been assessed using both within and between-session measures. While both are well-established and reliable measurements, neither are useful alone as methods to concurrently assess treatment effects on acquisition and retention of habituation. We report a behavioral method that measures habituation by
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An easy and cost-effective method for the isolation and culturing of neural stem/progenitor cells from the subventricular (SVZ) and dentate gyrus (DG) of adult mouse brain J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-19 Ayswaria Deepti, Bins Kathanadan Chackochan, Sreelakshmi Sadanandan, Anagha Sunilkumar Menon, Krishnakumar Mohandas, Ajith Vengellur, Unnikrishnan Sivan, Pulikkaparambil Sasidharan Baby Chakrapani
Background Isolation of adult Neural Stem/Progenitor Cells (NSPCs) from their neurogenic niches, is a prerequisite for studies involving culturing of NSPCs as neurospheres or attached monolayers in vitro. The currently available protocols involve the use of multiple animals and expensive reagents to establish the NSPCs culture. New method This unit describes a method to isolate and culture NSPCs from
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Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-14 Alejandro Omar Blenkmann, Sabine Liliana Leske, Anaïs Llorens, Jack J. Lin, Edward F. Chang, Peter Brunner, Gerwin Schalk, Jugoslav Ivanovic, Pål Gunnar Larsson, Robert Thomas Knight, Tor Endestad, Anne-Kristin Solbakk
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A cost-effective and efficient ex vivo, ex situ human whole brain perfusion protocol for immunohistochemistry J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-11 Andreas-Christian Hade, Mari-Anne Philips, Liisi Promet, Toomas Jagomäe, Arpana Hanumantharaju, Liis Salumäe, Ene Reimann, Mario Plaas, Eero Vasar, Marika Väli
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An electrode-impedance-aware neurostimulator IC that achieves low-power consumption and fast charge balance J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-11 Yawen Shi, Quanbei Chang, Xiao Liu
Implantable neural stimulation is becoming increasingly popular for treating neurologically impaired patients, restoring neural functions which would otherwise be lost due to diseases or injuries. The charge balance of the stimulus pulses is of paramount importance for the long-term safety of the electrode-tissue interface. This paper presents a novel neurostimulator integrated circuit in which two
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Deep insights into MCI diagnosis: A comparative deep learning analysis of EEG time series J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-10 Mesut Şeker, Mehmet Siraç Özerdem
Background Individuals in the early stages of Alzheimer’s Disease (AD) are typically diagnosed with Mild Cognitive Impairment (MCI). MCI represents a transitional phase between normal cognitive function and AD. Electroencephalography (EEG) records carry valuable insights into cerebral cortex brain activities to analyze neuronal degeneration. To enhance the precision of dementia diagnosis, automatic
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Human organotypic brain slice cultures: a detailed and improved protocol for preparation and long-term maintenance J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-05 Aniella Bak, Henner Koch, Karen M.J. van Loo, Katharina Schmied, Birgit Gittel, Yvonne Weber, Jonas Ort, Niklas Schwarz, Simone C. Tauber, Thomas V. Wuttke, Daniel Delev
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Cultivation of Schwann cells from fresh and non-fresh adult equine peripheral nerves J. Neurosci. Methods (IF 3.0) Pub Date : 2024-01-03 Elise Friis Kvigstad, Ingvild Ketilsdotter Øverland, Fredrik Strebel Skedsmo, Karin Hultin Jäderlund, Gittan Gröndahl, Siv Hanche-Olsen, Gjermund Gunnes
Background Over the past 25 years, acquired equine polyneuropathy (AEP) has emerged as a neurological disease in Scandinavian horses. This condition is characterized by histopathological features including the presence of Schwann cell (SC) inclusions. Cultivated equine SCs would serve as a valuable resource for investigations of factors triggering this Schwannopathy. Ideally, cells should be sampled
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The EQIPD quality system – Assessment and certification procedures J. Neurosci. Methods (IF 3.0) Pub Date : 2023-12-30 Christoph H. Emmerich, René Bernard, Thomas Steckler, Anton Bespalov
The EQIPD Quality System was designed with the ultimate mission to provide a framework to ensure the quality and integrity of non-regulated preclinical biomedical research. For research quality to be sustained over time, it is crucial to have continuous improvement mechanisms that routinely monitor the research-related processes and enable solutions for identified issues. The present article is focused
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Influence of threshold selection and image sequence in in-vivo segmentation of enlarged perivascular spaces J. Neurosci. Methods (IF 3.0) Pub Date : 2023-12-26 Maria del C. Valdés Hernández, Roberto Duarte Coello, William Xu, José Bernal, Yajun Cheng, Lucia Ballerini, Stewart J. Wiseman, Francesca M. Chappell, Una Clancy, Daniela Jaime García, Carmen Arteaga Reyes, Jun-Fang Zhang, Xiaodi Liu, Will Hewins, Michael Stringer, Fergus Doubal, Michael J. Thrippleton, Angela Jochems, Rosalind Brown, Joanna M. Wardlaw
Background Growing interest surrounds perivascular spaces (PVS) as a clinical biomarker of brain dysfunction given their association with cerebrovascular risk factors and disease. Neuroimaging techniques allowing quick and reliable quantification are being developed, but, in practice, they require optimisation as their limits of validity are usually unspecified. New method We evaluate modifications
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Neuroplasticity in honey bee brains: An enhanced micro-computed tomography protocol for precise mushroom body volume measurement J. Neurosci. Methods (IF 3.0) Pub Date : 2023-12-20 Shang-Jui Fu, En-Cheng Yang
Background In insect brains, mushroom bodies are associated with memory and learning behavior. It has been demonstrated that the volume of the mushroom bodies in the brain of a worker honey bee changes during the adult stage. Changes in mushroom body volume imply high neuroplasticity in the brains and may be related to the age polyethism of honey bees. A suitable volume measurement method is needed
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Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia J. Neurosci. Methods (IF 3.0) Pub Date : 2023-12-25 Wei-Xing Li, Qiu-Hua Lin, Bin-Hua Zhao, Li-Dan Kuang, Chao-Ying Zhang, Yue Han, Vince D. Calhoun
Background Dynamic spatial functional network connectivity (dsFNC) has shown advantages in detecting functional alterations impacted by mental disorders using magnitude-only fMRI data. However, complete fMRI data are complex-valued with unique and useful phase information. Methods We propose dsFNC of spatial source phase (SSP) maps, derived from complex-valued fMRI data (named SSP-dsFNC), to capture
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A piezoelectric micromachined ultrasound transducer combined with recording electrodes for acute brain preparations in vitro J. Neurosci. Methods (IF 3.0) Pub Date : 2023-12-25 Ryo Furukawa, Takahiro Yoshikawa, Shuichi Murakami, Takashi Tateno
Background Ultrasound stimulation is used to noninvasively stimulate the local and deep areas of the brain. However, the detailed cellular mechanisms of neural activation are still unclear because studies on micro-stimulation at the cellular level are lacking. New method To modulate neural activity at the cellular level, we developed a piezoelectric micromachined ultrasound transducer (PMUT), having
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Towards the automated detection of interictal epileptiform discharges with magnetoencephalography J. Neurosci. Methods (IF 3.0) Pub Date : 2023-12-25 Raquel Fernández-Martín, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens
Background The analysis of clinical magnetoencephalography (MEG) in patients with epilepsy traditionally relies on visual identification of interictal epileptiform discharges (IEDs), which is time consuming and dependent on subjective criteria. New Method Here, we explore the ability of Independent Components Analysis (ICA) and Hidden Markov Modeling (HMM) to automatically detect and localize IEDs