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1,007 results on '"Ojemann, Jeffrey"'

1. Designing Touch: Intracortical Neurohaptic Feedback in Virtual Reality

Author

Paschall, Courtnie J., Hauptman, Jason S., Rao, Rajesh P. N., Ojemann, Jeffrey G., Herron, Jeffrey, Gan, Woon-Seng, Series Editor, Kuo, C.-C. Jay, Series Editor, Zheng, Thomas Fang, Series Editor, Barni, Mauro, Series Editor, Guger, Christoph, editor, Allison, Brendan, editor, Rutkowski, Tomasz M., editor, and Korostenskaja, Milena, editor

Published
2024
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4. Deep Brain Stimulation of Bilateral Centromedian Thalamic Nuclei in Pediatric Patients with Lennox-Gastaut Syndrome: An Institutional Experience

Author

Bonda, David, Kelly, Katherine A., Boop, Scott, Feroze, Abdullah H., Randle, Stephanie C., Bindschadler, Mike, Marashly, Ahmad, Owens, James, Lockrow, Jason, Bozarth, Xiuhua, Novotny, Edward, Friedman, Seth, Goldstein, Hannah E., Grannan, Benjamin L., Durfy, Sharon, Ojemann, Jeffrey G., Ko, Andrew L., and Hauptman, Jason S.

Published
2024
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6. Predictors of mortality and tumor recurrence in desmoplastic infantile ganglioglioma and astrocytoma—and individual participant data meta-analysis (IPDMA)

Author

Wang, Shelly, Sun, Matthew Z, Abecassis, I Joshua, Weil, Alexander G, Ibrahim, George M, Fallah, Aria, Ene, Chibawanye, Leary, Sarah ES, Cole, Bonnie L, Lockwood, Christina M, Olson, James M, Geyer, J Russell, Ellenbogen, Richard G, Ojemann, Jeffrey G, and Wang, Anthony C

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Neurosciences, Cancer, Good Health and Well Being, Astrocytoma, Brain Neoplasms, Female, Ganglioglioma, Humans, Infant, Male, Meningeal Carcinomatosis, Neoplasm Recurrence, Local, BRAF, Desmoplastic, Infantile, Oncology and Carcinogenesis, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

PurposeDesmoplastic infantile astrocytoma (DIA) and desmoplastic infantile ganglioglioma (DIG) are classified together as grade I neuronal and mixed neuronal-glial tumor of the central nervous system by the World Health Organization (WHO). These tumors are rare and have not been well characterized in terms of clinical outcomes. We aimed to identify clinical predictors of mortality and tumor recurrence/progression by performing an individual patient data meta-analysis (IPDMA) of the literature.MethodsA systematic literature review from 1970 to 2020 was performed, and individualized clinical data for patients diagnosed with DIA/DIG were extracted. Aggregated data were excluded from collection. Outcome measures of interest were mortality and tumor recurrence/progression, as well as time-to-event (TTE) for each of these. Participants without information on these outcome measures were excluded. Cox regression survival analyses were performed to determine predictors of mortality and tumor recurrence / progression.ResultsWe identified 98 articles and extracted individual patient data from 188 patients. The cohort consisted of 58.9% males with a median age of 7 months. The majority (68.1%) were DIGs, while 24.5% were DIAs and 7.5% were non-specific desmoplastic infantile tumors; DIAs presented more commonly in deep locations (p = 0.001), with leptomeningeal metastasis (p = 0.001), and was associated with decreased probability of gross total resection (GTR; p = 0.001). Gender, age, and tumor pathology were not statistically significant predictors of either mortality or tumor recurrence/progression. On multivariate survival analysis, GTR was a predictor of survival (HR = 0.058; p = 0.007) while leptomeningeal metastasis at presentation was a predictor of mortality (HR = 3.27; p = 0.025). Deep tumor location (HR = 2.93; p = 0.001) and chemotherapy administration (HR = 2.02; p = 0.017) were associated with tumor recurrence/progression.ConclusionOur IPDMA of DIA/DIG cases reported in the literature revealed that GTR was a predictor of survival while leptomeningeal metastasis at presentation was associated with mortality. Deep tumor location and chemotherapy were associated with tumor recurrence / progression.

Published
2021

7. Superior Verbal Memory Outcome After Stereotactic Laser Amygdalohippocampotomy

Author

Drane, Daniel L, Willie, Jon T, Pedersen, Nigel P, Qiu, Deqiang, Voets, Natalie L, Millis, Scott R, Soares, Bruno P, Saindane, Amit M, Hu, Ranliang, Kim, Michelle S, Hewitt, Kelsey C, Hakimian, Shahin, Grabowski, Thomas, Ojemann, Jeffrey G, Loring, David W, Meador, Kimford J, Faught, Edward, Miller, John W, and Gross, Robert E

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Neurosciences, Brain Disorders, Epilepsy, Neurodegenerative, Clinical Research, Mental Health, 2.1 Biological and endogenous factors, Neurological, laser interstitial thermal therapy, verbal memory outcome, open resection epilepsy surgery, hippocampal function, neural substrates of memory, Psychology, Clinical sciences, Biological psychology
Abstract

Objective: To evaluate declarative memory outcomes in medically refractory epilepsy patients who underwent either a highly selective laser ablation of the amygdalohippocampal complex or a conventional open temporal lobe resection. Methods: Post-operative change scores were examined for verbal memory outcome in epilepsy patients who underwent stereotactic laser amygdalohippocampotomy (SLAH: n = 40) or open resection procedures (n = 40) using both reliable change index (RCI) scores and a 1-SD change metric. Results: Using RCI scores, patients undergoing open resection (12/40, 30.0%) were more likely to decline on verbal memory than those undergoing SLAH (2/40 [5.0%], p = 0.0064, Fisher's exact test). Patients with language dominant procedures were much more likely to experience a significant verbal memory decline following open resection (9/19 [47.4%]) compared to laser ablation (2/19 [10.5%], p = 0.0293, Fisher's exact test). 1 SD verbal memory decline frequently occurred in the open resection sample of language dominant temporal lobe patients with mesial temporal sclerosis (8/10 [80.0%]), although it rarely occurred in such patients after SLAH (2/14, 14.3%) (p = 0.0027, Fisher's exact test). Memory improvement occurred significantly more frequently following SLAH than after open resection. Interpretation: These findings suggest that while verbal memory function can decline after laser ablation of the amygdalohippocampal complex, it is better preserved when compared to open temporal lobe resection. Our findings also highlight that the dominant hippocampus is not uniquely responsible for verbal memory. While this is at odds with our simple and common heuristic of the hippocampus in memory, it supports the findings of non-human primate studies showing that memory depends on broader medial and lateral TL regions.

Published
2021

9. Locoregional CAR T cells for children with CNS tumors: Clinical procedure and catheter safety

Author

Vitanza, Nicholas A., Ronsley, Rebecca, Choe, Michelle, Henson, Casey, Breedt, Mandy, Barrios-Anderson, Adriel, Wein, Amy, Brown, Christopher, Beebe, Adam, Kong, Ada, Kirkey, Danielle, Lee, Brittany M., Leary, Sarah E.S., Crotty, Erin E., Hoeppner, Corrine, Holtzclaw, Susan, Wilson, Ashley L., Gustafson, Joshua A., Foster, Jessica B., Iliff, Jeffrey J., Goldstein, Hannah E., Browd, Samuel R., Lee, Amy, Ojemann, Jeffrey G., Pinto, Navin, Gust, Juliane, Gardner, Rebecca A., Jensen, Michael C., Hauptman, Jason S., and Park, Julie R.

Published
2023
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10. Conserved cell types with divergent features in human versus mouse cortex.

Author

Hodge, Rebecca D, Bakken, Trygve E, Miller, Jeremy A, Smith, Kimberly A, Barkan, Eliza R, Graybuck, Lucas T, Close, Jennie L, Long, Brian, Johansen, Nelson, Penn, Osnat, Yao, Zizhen, Eggermont, Jeroen, Höllt, Thomas, Levi, Boaz P, Shehata, Soraya I, Aevermann, Brian, Beller, Allison, Bertagnolli, Darren, Brouner, Krissy, Casper, Tamara, Cobbs, Charles, Dalley, Rachel, Dee, Nick, Ding, Song-Lin, Ellenbogen, Richard G, Fong, Olivia, Garren, Emma, Goldy, Jeff, Gwinn, Ryder P, Hirschstein, Daniel, Keene, C Dirk, Keshk, Mohamed, Ko, Andrew L, Lathia, Kanan, Mahfouz, Ahmed, Maltzer, Zoe, McGraw, Medea, Nguyen, Thuc Nghi, Nyhus, Julie, Ojemann, Jeffrey G, Oldre, Aaron, Parry, Sheana, Reynolds, Shannon, Rimorin, Christine, Shapovalova, Nadiya V, Somasundaram, Saroja, Szafer, Aaron, Thomsen, Elliot R, Tieu, Michael, Quon, Gerald, Scheuermann, Richard H, Yuste, Rafael, Sunkin, Susan M, Lelieveldt, Boudewijn, Feng, David, Ng, Lydia, Bernard, Amy, Hawrylycz, Michael, Phillips, John W, Tasic, Bosiljka, Zeng, Hongkui, Jones, Allan R, Koch, Christof, and Lein, Ed S

Subjects
Cerebral Cortex, Astrocytes, Neurons, Animals, Humans, Mice, Species Specificity, Neural Inhibition, Principal Component Analysis, Adolescent, Adult, Aged, Middle Aged, Female, Male, Young Adult, Biological Evolution, Single-Cell Analysis, Transcriptome, RNA-Seq, Genetics, Neurosciences, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Aetiology, Underpinning research, Neurological, General Science & Technology
Abstract

Elucidating the cellular architecture of the human cerebral cortex is central to understanding our cognitive abilities and susceptibility to disease. Here we used single-nucleus RNA-sequencing analysis to perform a comprehensive study of cell types in the middle temporal gyrus of human cortex. We identified a highly diverse set of excitatory and inhibitory neuron types that are mostly sparse, with excitatory types being less layer-restricted than expected. Comparison to similar mouse cortex single-cell RNA-sequencing datasets revealed a surprisingly well-conserved cellular architecture that enables matching of homologous types and predictions of properties of human cell types. Despite this general conservation, we also found extensive differences between homologous human and mouse cell types, including marked alterations in proportions, laminar distributions, gene expression and morphology. These species-specific features emphasize the importance of directly studying human brain.

Published
2019

11. iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Author

Holdgraf, Christopher, Appelhoff, Stefan, Bickel, Stephan, Bouchard, Kristofer, D’Ambrosio, Sasha, David, Olivier, Devinsky, Orrin, Dichter, Benjamin, Flinker, Adeen, Foster, Brett L, Gorgolewski, Krzysztof J, Groen, Iris, Groppe, David, Gunduz, Aysegul, Hamilton, Liberty, Honey, Christopher J, Jas, Mainak, Knight, Robert, Lachaux, Jean-Philippe, Lau, Jonathan C, Lee-Messer, Christopher, Lundstrom, Brian N, Miller, Kai J, Ojemann, Jeffrey G, Oostenveld, Robert, Petridou, Natalia, Piantoni, Gio, Pigorini, Andrea, Pouratian, Nader, Ramsey, Nick F, Stolk, Arjen, Swann, Nicole C, Tadel, François, Voytek, Bradley, Wandell, Brian A, Winawer, Jonathan, Whitaker, Kirstie, Zehl, Lyuba, and Hermes, Dora

Subjects
Biological Psychology, Physical Sciences, Psychology, Brain Disorders, Neurosciences, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Brain, Datasets as Topic, Electroencephalography, Humans, Information Storage and Retrieval, Neuroimaging
Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.

Published
2019

12. Interactive Web Application for Exploring Matrices of Neural Connectivity

Author

Caldwell, David J., Wu, Jing, Casimo, Kaitlyn, Ojemann, Jeffrey G., and Rao, Rajesh P. N.

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

We present here a browser-based application for visualizing patterns of connectivity in 3D stacked data matrices with large numbers of pairwise relations. Visualizing a connectivity matrix, looking for trends and patterns, and dynamically manipulating these values is a challenge for scientists from diverse fields, including neuroscience and genomics. In particular, high-dimensional neural data include those acquired via electroencephalography (EEG), electrocorticography (ECoG), magnetoencephalography (MEG), and functional MRI. Neural connectivity data contains multivariate attributes for each edge between different brain regions, which motivated our lightweight, open source, easy-to-use visualization tool for the exploration of these connectivity matrices to highlight connections of interest. Here we present a client-side, mobile-compatible visualization tool written entirely in HTML5/JavaScript that allows in-browser manipulation of user-defined files for exploration of brain connectivity. Visualizations can highlight different aspects of the data simultaneously across different dimensions. Input files are in JSON format, and custom Python scripts have been written to parse MATLAB or Python data files into JSON-loadable format. We demonstrate the analysis of connectivity data acquired via human ECoG recordings as a domain-specific implementation of our application. We envision applications for this interactive tool in fields seeking to visualize pairwise connectivity., Comment: 4 pages, IEEE NER 2017

Published
2017
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13. Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping

Author

Wu, Jing, Casimo, Kaitlyn, Caldwell, David J., Rao, Rajesh P. N., and Ojemann, Jeffrey G.

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Human-Computer Interaction
Abstract

Identification of intended movement type and movement phase of hand grasp shaping are critical features for the control of volitional neuroprosthetics. We demonstrate that neural dynamics during visually-guided imagined grasp shaping can encode intended movement. We apply Procrustes analysis and LASSO regression to achieve 72% accuracy (chance = 25%) in distinguishing between visually-guided imagined grasp trajectories. Further, we can predict the stage of grasp shaping in the form of elapsed time from start of trial (R2=0.4). Our approach contributes to more accurate single-trial decoding of higher-level movement goals and the phase of grasping movements in individuals not trained with brain-computer interfaces. We also find that the overall time-varying trajectory structure of imagined movements tend to be consistent within individuals, and that transient trajectory deviations within trials return to the task-dependent trajectory mean. These overall findings may contribute to the further understanding of the cortical dynamics of human motor imagery., Comment: 4 pages, 6 figures, accepted to IEEE NER 2017 (8th International IEEE EMBS Conference on Neural Engineering)

Published
2017

16. Desmoplastic Infantile Ganglioglioma/Astrocytoma (DIG/DIA) Are Distinct Entities with Frequent BRAFV600 Mutations

Author

Wang, Anthony C, Jones, David TW, Abecassis, Isaac Joshua, Cole, Bonnie L, Leary, Sarah ES, Lockwood, Christina M, Chavez, Lukas, Capper, David, Korshunov, Andrey, Fallah, Aria, Wang, Shelly, Ene, Chibawanye, Olson, James M, Geyer, J Russell, Holland, Eric C, Lee, Amy, Ellenbogen, Richard G, and Ojemann, Jeffrey G

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Clinical Sciences, Oncology and Carcinogenesis, Cancer, Rare Diseases, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Astrocytoma, Child, Preschool, Female, Ganglioglioma, Humans, Infant, Male, Mutation, Neoplasm Recurrence, Local, Oncogene Proteins, Fusion, Proto-Oncogene Proteins B-raf, Tumor Suppressor Protein p53, Exome Sequencing, X-linked Nuclear Protein, Developmental Biology, Oncology & Carcinogenesis, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract

Desmoplastic infantile ganglioglioma (DIG) and desmoplastic infantile astrocytoma (DIA) are extremely rare tumors that typically arise in infancy; however, these entities have not been well characterized in terms of genetic alterations or clinical outcomes. Here, through a multi-institutional collaboration, the largest cohort of DIG/DIA to date is examined using advanced laboratory and data processing techniques. Targeted DNA exome sequencing and DNA methylation profiling were performed on tumor specimens obtained from different patients (n = 8) diagnosed histologically as DIG/DIGA. Two of these cases clustered with other tumor entities, and were excluded from analysis. The remaining 16 cases were confirmed to be DIG/DIA by histology and by DNA methylation profiling. Somatic BRAF gene mutations were discovered in 7 instances (43.8%); 4 were BRAFV600E mutations, and 3 were BRAFV600D mutations. Three instances of malignant transformation were found, and sequencing of the recurrence demonstrated a new TP53 mutation in one case, new ATRX deletion in one case, and in the third case, the original tumor harbored an EML4-ALK fusion, also present at recurrence. DIG/DIA are distinct pathologic entities that frequently harbor BRAFV600 mutations. Complete surgical resection is the ideal treatment, and overall prognosis is excellent. While, the small sample size and incomplete surgical records limit a definitive conclusion about the risk of tumor recurrence, the risk appears quite low. In rare cases with wild-type BRAF, malignant progression can be observed, frequently with the acquisition of other genetic alterations.Implications: DIG/DIA are a distinct molecular entity, with a subset frequently harboring either BRAF V600E or BRAF V600D mutations. Mol Cancer Res; 16(10); 1491-8. ©2018 AACR.

Published
2018

19. Human neocortical expansion involves glutamatergic neuron diversification

Author

Berg, Jim, Sorensen, Staci A., Ting, Jonathan T., Miller, Jeremy A., Chartrand, Thomas, Buchin, Anatoly, Bakken, Trygve E., Budzillo, Agata, Dee, Nick, Ding, Song-Lin, Gouwens, Nathan W., Hodge, Rebecca D., Kalmbach, Brian, Lee, Changkyu, Lee, Brian R., Alfiler, Lauren, Baker, Katherine, Barkan, Eliza, Beller, Allison, Berry, Kyla, Bertagnolli, Darren, Bickley, Kris, Bomben, Jasmine, Braun, Thomas, Brouner, Krissy, Casper, Tamara, Chong, Peter, Crichton, Kirsten, Dalley, Rachel, de Frates, Rebecca, Desta, Tsega, Lee, Samuel Dingman, D’Orazi, Florence, Dotson, Nadezhda, Egdorf, Tom, Enstrom, Rachel, Farrell, Colin, Feng, David, Fong, Olivia, Furdan, Szabina, Galakhova, Anna A., Gamlin, Clare, Gary, Amanda, Glandon, Alexandra, Goldy, Jeff, Gorham, Melissa, Goriounova, Natalia A., Gratiy, Sergey, Graybuck, Lucas, Gu, Hong, Hadley, Kristen, Hansen, Nathan, Heistek, Tim S., Henry, Alex M., Heyer, Djai B., Hill, DiJon, Hill, Chris, Hupp, Madie, Jarsky, Tim, Kebede, Sara, Keene, Lisa, Kim, Lisa, Kim, Mean-Hwan, Kroll, Matthew, Latimer, Caitlin, Levi, Boaz P., Link, Katherine E., Mallory, Matthew, Mann, Rusty, Marshall, Desiree, Maxwell, Michelle, McGraw, Medea, McMillen, Delissa, Melief, Erica, Mertens, Eline J., Mezei, Leona, Mihut, Norbert, Mok, Stephanie, Molnar, Gabor, Mukora, Alice, Ng, Lindsay, Ngo, Kiet, Nicovich, Philip R., Nyhus, Julie, Olah, Gaspar, Oldre, Aaron, Omstead, Victoria, Ozsvar, Attila, Park, Daniel, Peng, Hanchuan, Pham, Trangthanh, Pom, Christina A., Potekhina, Lydia, Rajanbabu, Ramkumar, Ransford, Shea, Reid, David, Rimorin, Christine, Ruiz, Augustin, Sandman, David, Sulc, Josef, Sunkin, Susan M., Szafer, Aaron, Szemenyei, Viktor, Thomsen, Elliot R., Tieu, Michael, Torkelson, Amy, Trinh, Jessica, Tung, Herman, Wakeman, Wayne, Waleboer, Femke, Ward, Katelyn, Wilbers, René, Williams, Grace, Yao, Zizhen, Yoon, Jae-Geun, Anastassiou, Costas, Arkhipov, Anton, Barzo, Pal, Bernard, Amy, Cobbs, Charles, de Witt Hamer, Philip C., Ellenbogen, Richard G., Esposito, Luke, Ferreira, Manuel, Gwinn, Ryder P., Hawrylycz, Michael J., Hof, Patrick R., Idema, Sander, Jones, Allan R., Keene, C. Dirk, Ko, Andrew L., Murphy, Gabe J., Ng, Lydia, Ojemann, Jeffrey G., Patel, Anoop P., Phillips, John W., Silbergeld, Daniel L., Smith, Kimberly, Tasic, Bosiljka, Yuste, Rafael, Segev, Idan, de Kock, Christiaan P. J., Mansvelder, Huibert D., Tamas, Gabor, Zeng, Hongkui, Koch, Christof, and Lein, Ed S.

Published
2021
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20. Cortical Brain Computer Interface for Closed-Loop Deep Brain Stimulation

Author

Herron, Jeffrey A., Thompson, Margaret C., Brown, Timothy, Chizeck, Howard J., Ojemann, Jeffrey G., and Ko, Andrew L.

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Essential Tremor is the most common neurological movement disorder. This progressive disease causes uncontrollable rhythmic motions -most often affecting the patient's dominant upper extremity- that occur during volitional movement and make it difficult for the patient to perform everyday tasks. Medication may also become ineffective as the disorder progresses. For many patients, deep brain stimulation (DBS) of the thalamus is an effective means of treating this condition when medication fails. In current use, however, clinicians set the patient's stimulator to apply stimulation at all times- whether it is needed or not. This practice leads to excess power use, and more rapid depletion of batteries that require surgical replacement. In the work described here, for the first time, neural sensing of movement (using chronically-implanted cortical electrodes) is used to enable or disable stimulation for tremor. Therapeutic stimulation is delivered only when the patient is actively using their effected limb, thereby reducing the total stimulation applied, and potentially extending the lifetime of surgically-implanted batteries. This work, which involves both implanted and external subsystems, paves the way for the future fully-implanted closed-loop deep brain stimulators.

Published
2016
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21. Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features

Author

Wu, Jing, Shuman, Benjamin R., Brunton, Bingni W., Steele, Katherine M., Olson, Jared D., Rao, Rajesh P. N., and Ojemann, Jeffrey G.

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Human-Computer Interaction
Abstract

Neural correlates of movement planning onset and direction may be present in human electrocorticography in the signal dynamics of both motor and non-motor cortical regions. We use a three-stage model of jPCA reduced-rank hidden Markov model (jPCA-RR-HMM), regularized shrunken-centroid discriminant analysis (RDA), and LASSO regression to extract direction-sensitive planning information and movement onset in an upper-limb 3D isometric force task in a human subject. This mode achieves a relatively high true positive force-onset prediction rate of 60% within 250ms, and an above-chance 36% accuracy (17% chance) in predicting one of six planned 3D directions of isometric force using pre-movement signals. We also find direction-distinguishing information up to 400ms before force onset in the pre-movement signals, captured by electrodes placed over the limb-ipsilateral dorsal premotor regions. This approach can contribute to more accurate decoding of higher-level movement goals, at earlier timescales, and inform sensor placement. Our results also contribute to further understanding of the spatiotemporal features of human motor planning., Comment: 4 pages, 3 figures, accepted to EMBC 2016 (38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society)

Published
2016
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22. Signature morpho-electric, transcriptomic, and dendritic properties of human layer 5 neocortical pyramidal neurons

Author

Kalmbach, Brian E., Hodge, Rebecca D., Jorstad, Nikolas L., Owen, Scott, de Frates, Rebecca, Yanny, Anna Marie, Dalley, Rachel, Mallory, Matt, Graybuck, Lucas T., Radaelli, Cristina, Keene, C. Dirk, Gwinn, Ryder P., Silbergeld, Daniel L., Cobbs, Charles, Ojemann, Jeffrey G., Ko, Andrew L., Patel, Anoop P., Ellenbogen, Richard G., Bakken, Trygve E., Daigle, Tanya L., Dee, Nick, Lee, Brian R., McGraw, Medea, Nicovich, Philip R., Smith, Kimberly, Sorensen, Staci A., Tasic, Bosiljka, Zeng, Hongkui, Koch, Christof, Lein, Ed S., and Ting, Jonathan T.

Published
2021
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24. Locoregional infusion of HER2-specific CAR T cells in children and young adults with recurrent or refractory CNS tumors: an interim analysis

Author

Vitanza, Nicholas A., Johnson, Adam J., Wilson, Ashley L., Brown, Christopher, Yokoyama, Jason K., Künkele, Annette, Chang, Cindy A., Rawlings-Rhea, Stephanie, Huang, Wenjun, Seidel, Kristy, Albert, Catherine M., Pinto, Navin, Gust, Juliane, Finn, Laura S., Ojemann, Jeffrey G., Wright, Jason, Orentas, Rimas J., Baldwin, Michael, Gardner, Rebecca A., Jensen, Michael C., and Park, Julie R.

Published
2021
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25. Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex

Author

Mich, John K., Graybuck, Lucas T., Hess, Erik E., Mahoney, Joseph T., Kojima, Yoshiko, Ding, Yi, Somasundaram, Saroja, Miller, Jeremy A., Kalmbach, Brian E., Radaelli, Cristina, Gore, Bryan B., Weed, Natalie, Omstead, Victoria, Bishaw, Yemeserach, Shapovalova, Nadiya V., Martinez, Refugio A., Fong, Olivia, Yao, Shenqin, Mortrud, Marty, Chong, Peter, Loftus, Luke, Bertagnolli, Darren, Goldy, Jeff, Casper, Tamara, Dee, Nick, Opitz-Araya, Ximena, Cetin, Ali, Smith, Kimberly A., Gwinn, Ryder P., Cobbs, Charles, Ko, Andrew L., Ojemann, Jeffrey G., Keene, C. Dirk, Silbergeld, Daniel L., Sunkin, Susan M., Gradinaru, Viviana, Horwitz, Gregory D., Zeng, Hongkui, Tasic, Bosiljka, Lein, Ed S., Ting, Jonathan T., and Levi, Boaz P.

Published
2021
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26. Unsupervised decoding of long-term, naturalistic human neural recordings with automated video and audio annotations

Author

Wang, Nancy X. R., Olson, Jared D., Ojemann, Jeffrey G., Rao, Rajesh P. N., and Brunton, Bingni W.

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Fully automated decoding of human activities and intentions from direct neural recordings is a tantalizing challenge in brain-computer interfacing. Most ongoing efforts have focused on training decoders on specific, stereotyped tasks in laboratory settings. Implementing brain-computer interfaces (BCIs) in natural settings requires adaptive strategies and scalable algorithms that require minimal supervision. Here we propose an unsupervised approach to decoding neural states from human brain recordings acquired in a naturalistic context. We demonstrate our approach on continuous long-term electrocorticographic (ECoG) data recorded over many days from the brain surface of subjects in a hospital room, with simultaneous audio and video recordings. We first discovered clusters in high-dimensional ECoG recordings and then annotated coherent clusters using speech and movement labels extracted automatically from audio and video recordings. To our knowledge, this represents the first time techniques from computer vision and speech processing have been used for natural ECoG decoding. Our results show that our unsupervised approach can discover distinct behaviors from ECoG data, including moving, speaking and resting. We verify the accuracy of our approach by comparing to manual annotations. Projecting the discovered cluster centers back onto the brain, this technique opens the door to automated functional brain mapping in natural settings.

Published
2015
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29. Looking beyond year 1 in the molecular era of pediatric brain tumor diagnosis: confirmatory testing of germline variants found on tumor sequencing

Author

Greene, Brittany L., primary, Stasi, Shannon M., additional, Ting, Michelle A., additional, Waligorski, Natalie, additional, Cole, Bonnie L., additional, Lockwood, Christina M., additional, Paulson, Vera A., additional, Buchan, Jillian G., additional, Lee, Amy, additional, Ojemann, Jeffrey G., additional, Ellenbogen, Richard G., additional, Stevens, Jeffrey, additional, and Leary, Sarah E. S., additional

Published
2024
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30. Extracting spatial-temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition

Author

Brunton, Bingni W., Johnson, Lise A., Ojemann, Jeffrey G., and Kutz, J. Nathan

Subjects
Quantitative Biology - Neurons and Cognition, Quantitative Biology - Quantitative Methods
Abstract

There is a broad need in the neuroscience community to understand and visualize large-scale recordings of neural activity, big data acquired by tens or hundreds of electrodes simultaneously recording dynamic brain activity over minutes to hours. Such dynamic datasets are characterized by coherent patterns across both space and time, yet existing computational methods are typically restricted to analysis either in space or in time separately. Here we report the adaptation of dynamic mode decomposition (DMD), an algorithm originally developed for the study of fluid physics, to large-scale neuronal recordings. DMD is a modal decomposition algorithm that describes high-dimensional dynamic data using coupled spatial-temporal modes; the resulting analysis combines key features of performing principal components analysis (PCA) in space and power spectral analysis in time. The algorithm scales easily to very large numbers of simultaneously acquired measurements. We validated the DMD approach on sub-dural electrode array recordings from human subjects performing a known motor activation task. Next, we leveraged DMD in combination with machine learning to develop a novel method to extract sleep spindle networks from the same subjects. We suggest that DMD is generally applicable as a powerful method in the analysis and understanding of large-scale recordings of neural activity., Comment: 5 figures, 10 pages including methods

Published
2014
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31. Children with DIPG and high-grade glioma treated with temozolomide, irinotecan, and bevacizumab: the Seattle Children’s Hospital experience

Author

Crotty, Erin E., Leary, Sarah E. S., Geyer, J. Russell, Olson, James M., Millard, Nathan E., Sato, Aimee A., Ermoian, Ralph P., Cole, Bonnie L., Lockwood, Christina M., Paulson, Vera A., Browd, Samuel R., Ellenbogen, Richard G., Hauptman, Jason S., Lee, Amy, Ojemann, Jeffrey G., and Vitanza, Nicholas A.

Published
2020
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34. Cortical cartography reveals political and physical maps.

Author

Loring, David W, Gaillard, William Davis, Bookheimer, Susan Y, Meador, Kimford J, and Ojemann, Jeffrey G

Subjects
Cerebral Cortex, Humans, Epilepsy, Temporal Lobe, Amobarbital, Magnetic Resonance Imaging, Magnetoencephalography, Preoperative Care, Craniotomy, Brain Mapping, Transcranial Magnetic Stimulation, Cortical stimulation mapping, Wada testing, fMRI, Neurology & Neurosurgery, Clinical Sciences, Neurosciences
Abstract

Advances in functional imaging have provided noninvasive techniques to probe brain organization of multiple constructs including language and memory. Because of high overall rates of agreements with older techniques, including Wada testing and cortical stimulation mapping (CSM), some have proposed that those approaches should be largely abandoned because of their invasiveness, and replaced with noninvasive functional imaging methods. High overall agreement, however, is based largely on concordant language lateralization in series dominated by cases of typical cerebral dominance. Advocating a universal switch from Wada testing and cortical stimulation mapping to functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG) ignores the differences in specific expertise across epilepsy centers, many of which often have greater skill with one approach rather than the other, and that Wada, CSM, fMRI, and MEG protocols vary across institutions resulting in different outcomes and reliability. Specific patient characteristics also affect whether Wada or CSM might influence surgical management, making it difficult to accept broad recommendations against currently useful clinical tools. Although the development of noninvasive techniques has diminished the frequency of more invasive approaches, advocating their use to replace Wada testing and CSM across all epilepsy surgery programs without consideration of the different skills, protocols, and expertise at any given center site is ill-advised.

Published
2014

35. Cortical cartography reveals political and physical maps.

Author

Meador, Kimford, Ojemann, Jeffrey, Loring, David, Gaillard, William, and Bookheimer, Susan

Subjects
Cortical stimulation mapping, Magnetoencephalography, Wada testing, fMRI, Amobarbital, Brain Mapping, Cerebral Cortex, Craniotomy, Epilepsy, Temporal Lobe, Humans, Magnetic Resonance Imaging, Magnetoencephalography, Preoperative Care, Transcranial Magnetic Stimulation
Abstract

Advances in functional imaging have provided noninvasive techniques to probe brain organization of multiple constructs including language and memory. Because of high overall rates of agreements with older techniques, including Wada testing and cortical stimulation mapping (CSM), some have proposed that those approaches should be largely abandoned because of their invasiveness, and replaced with noninvasive functional imaging methods. High overall agreement, however, is based largely on concordant language lateralization in series dominated by cases of typical cerebral dominance. Advocating a universal switch from Wada testing and cortical stimulation mapping to functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG) ignores the differences in specific expertise across epilepsy centers, many of which often have greater skill with one approach rather than the other, and that Wada, CSM, fMRI, and MEG protocols vary across institutions resulting in different outcomes and reliability. Specific patient characteristics also affect whether Wada or CSM might influence surgical management, making it difficult to accept broad recommendations against currently useful clinical tools. Although the development of noninvasive techniques has diminished the frequency of more invasive approaches, advocating their use to replace Wada testing and CSM across all epilepsy surgery programs without consideration of the different skills, protocols, and expertise at any given center site is ill-advised.

Published
2014

37. Signature morphoelectric properties of diverse GABAergic interneurons in the human neocortex

Author

Lee, Brian R., primary, Dalley, Rachel, additional, Miller, Jeremy A., additional, Chartrand, Thomas, additional, Close, Jennie, additional, Mann, Rusty, additional, Mukora, Alice, additional, Ng, Lindsay, additional, Alfiler, Lauren, additional, Baker, Katherine, additional, Bertagnolli, Darren, additional, Brouner, Krissy, additional, Casper, Tamara, additional, Csajbok, Eva, additional, Donadio, Nicholas, additional, Driessens, Stan L.W., additional, Egdorf, Tom, additional, Enstrom, Rachel, additional, Galakhova, Anna A., additional, Gary, Amanda, additional, Gelfand, Emily, additional, Goldy, Jeff, additional, Hadley, Kristen, additional, Heistek, Tim S., additional, Hill, Dijon, additional, Hou, Wen-Hsien, additional, Johansen, Nelson, additional, Jorstad, Nik, additional, Kim, Lisa, additional, Kocsis, Agnes Katalin, additional, Kruse, Lauren, additional, Kunst, Michael, additional, León, Gabriela, additional, Long, Brian, additional, Mallory, Matthew, additional, Maxwell, Michelle, additional, McGraw, Medea, additional, McMillen, Delissa, additional, Melief, Erica J., additional, Molnar, Gabor, additional, Mortrud, Marty T., additional, Newman, Dakota, additional, Nyhus, Julie, additional, Opitz-Araya, Ximena, additional, Ozsvár, Attila, additional, Pham, Trangthanh, additional, Pom, Alice, additional, Potekhina, Lydia, additional, Rajanbabu, Ram, additional, Ruiz, Augustin, additional, Sunkin, Susan M., additional, Szöts, Ildikó, additional, Taskin, Naz, additional, Thyagarajan, Bargavi, additional, Tieu, Michael, additional, Trinh, Jessica, additional, Vargas, Sara, additional, Vumbaco, David, additional, Waleboer, Femke, additional, Walling-Bell, Sarah, additional, Weed, Natalie, additional, Williams, Grace, additional, Wilson, Julia, additional, Yao, Shenqin, additional, Zhou, Thomas, additional, Barzó, Pál, additional, Bakken, Trygve, additional, Cobbs, Charles, additional, Dee, Nick, additional, Ellenbogen, Richard G., additional, Esposito, Luke, additional, Ferreira, Manuel, additional, Gouwens, Nathan W., additional, Grannan, Benjamin, additional, Gwinn, Ryder P., additional, Hauptman, Jason S., additional, Hodge, Rebecca, additional, Jarsky, Tim, additional, Keene, C. Dirk, additional, Ko, Andrew L., additional, Korshoej, Anders Rosendal, additional, Levi, Boaz P., additional, Meier, Kaare, additional, Ojemann, Jeffrey G., additional, Patel, Anoop, additional, Ruzevick, Jacob, additional, Silbergeld, Daniel L., additional, Smith, Kimberly, additional, Sørensen, Jens Christian, additional, Waters, Jack, additional, Zeng, Hongkui, additional, Berg, Jim, additional, Capogna, Marco, additional, Goriounova, Natalia A., additional, Kalmbach, Brian, additional, de Kock, Christiaan P.J., additional, Mansvelder, Huib D., additional, Sorensen, Staci A., additional, Tamas, Gabor, additional, Lein, Ed S., additional, and Ting, Jonathan T., additional

Published
2023
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38. ECoG observations of power-law scaling in the human cortex

Author

Miller, Kai J., Sorensen, Larry B., Ojemann, Jeffrey G., and Nijs, Marcel den

Subjects
Quantitative Biology - Neurons and Cognition, Condensed Matter - Other Condensed Matter
Abstract

We report the results of our search for power-law electrical signals in the human brain, using subdural electrocorticographic recordings from the surface of the cortex. The power spectral density (PSD) of these signals has the power-law form $ P(f)\sim f^{-\chi} $ from 80 to 500 Hz. This scaling index $\chi = 4.0\pm 0.1$ is universal, across subjects, area in the cortex, and local neural activity levels. The shape of the PSD does not change with local cortex activity, only its amplitude increases. We observe a knee in the spectra at $f_0\simeq 70$ Hz, implying the existence of a characteristic time scale $\tau=(2\pi f_0)^{-1}\simeq 2-4$ msec. For $f

Published
2007

39. h-Channels Contribute to Divergent Intrinsic Membrane Properties of Supragranular Pyramidal Neurons in Human versus Mouse Cerebral Cortex

Author

Kalmbach, Brian E., Buchin, Anatoly, Long, Brian, Close, Jennie, Nandi, Anirban, Miller, Jeremy A., Bakken, Trygve E., Hodge, Rebecca D., Chong, Peter, de Frates, Rebecca, Dai, Kael, Maltzer, Zoe, Nicovich, Philip R., Keene, C. Dirk, Silbergeld, Daniel L., Gwinn, Ryder P., Cobbs, Charles, Ko, Andrew L., Ojemann, Jeffrey G., Koch, Christof, Anastassiou, Costas A., Lein, Ed S., and Ting, Jonathan T.

Published
2018
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42. Exaggerated phase–amplitude coupling in the primary motor cortex in Parkinson disease

Author

de Hemptinne, Coralie, Ryapolova-Webb, Elena S, Air, Ellen L, Garcia, Paul A, Miller, Kai J, Ojemann, Jeffrey G, Ostrem, Jill L, Galifianakis, Nicholas B, and Starr, Philip A

Subjects
Neurosciences, Neurodegenerative, Parkinson's Disease, Assistive Technology, Brain Disorders, Bioengineering, Aging, Neurological, Adolescent, Adult, Aged, Basal Ganglia, Female, Humans, Male, Middle Aged, Models, Neurological, Motor Cortex, Parkinson Disease, Radiography, Subthalamic Nucleus, electrocorticography, cross-frequency coupling
Abstract

An important mechanism for large-scale interactions between cortical areas involves coupling between the phase and the amplitude of different brain rhythms. Could basal ganglia disease disrupt this mechanism? We answered this question by analysis of local field potentials recorded from the primary motor cortex (M1) arm area in patients undergoing neurosurgery. In Parkinson disease, coupling between β-phase (13-30 Hz) and γ-amplitude (50-200 Hz) in M1 is exaggerated compared with patients with craniocervical dystonia and humans without a movement disorder. Excessive coupling may be reduced by therapeutic subthalamic nucleus stimulation. Peaks in M1 γ-amplitude are coupled to, and precede, the subthalamic nucleus β-trough. The results prompt a model of the basal ganglia-cortical circuit in Parkinson disease incorporating phase-amplitude interactions and abnormal corticosubthalamic feedback and suggest that M1 local field potentials could be used as a control signal for automated programming of basal ganglia stimulators.

Published
2013

43. Proceedings of the Third International Workshop on Advances in Electrocorticography

Author

Ritaccio, Anthony, Beauchamp, Michael, Bosman, Conrado, Brunner, Peter, Chang, Edward, Crone, Nathan, Gunduz, Aysegul, Gupta, Disha, Knight, Robert, Leuthardt, Eric, Litt, Brian, Moran, Daniel, Ojemann, Jeffrey, Parvizi, Josef, Ramsey, Nick, Rieger, Jochem, Viventi, Jonathan, Voytek, Bradley, Williams, Justin, and Schalk, Gerwin

Subjects
Cerebral Cortex, Congresses as Topic, Electroencephalography, Epilepsy, Humans, Brain Mapping, Electrocorticography, Brain-computer interface, High-frequency oscillations, Brain mapping, Seizure detection, Gamma-frequency electroencephalography, Neuroprosthetics, Subdural grid, Clinical Sciences, Neurology & Neurosurgery
Abstract

The Third International Workshop on Advances in Electrocorticography (ECoG) was convened in Washington, DC, on November 10-11, 2011. As in prior meetings, a true multidisciplinary fusion of clinicians, scientists, and engineers from many disciplines gathered to summarize contemporary experiences in brain surface recordings. The proceedings of this meeting serve as evidence of a very robust and transformative field but will yet again require revision to incorporate the advances that the following year will surely bring.

Published
2012

44. Author Correction: Human neocortical expansion involves glutamatergic neuron diversification

Author

Berg, Jim, Sorensen, Staci A., Ting, Jonathan T., Miller, Jeremy A., Chartrand, Thomas, Buchin, Anatoly, Bakken, Trygve E., Budzillo, Agata, Dee, Nick, Ding, Song-Lin, Gouwens, Nathan W., Hodge, Rebecca D., Kalmbach, Brian, Lee, Changkyu, Lee, Brian R., Alfiler, Lauren, Baker, Katherine, Barkan, Eliza, Beller, Allison, Berry, Kyla, Bertagnolli, Darren, Bickley, Kris, Bomben, Jasmine, Braun, Thomas, Brouner, Krissy, Casper, Tamara, Chong, Peter, Crichton, Kirsten, Dalley, Rachel, de Frates, Rebecca, Desta, Tsega, Lee, Samuel Dingman, D’Orazi, Florence, Dotson, Nadezhda, Egdorf, Tom, Enstrom, Rachel, Farrell, Colin, Feng, David, Fong, Olivia, Furdan, Szabina, Galakhova, Anna A., Gamlin, Clare, Gary, Amanda, Glandon, Alexandra, Goldy, Jeff, Gorham, Melissa, Goriounova, Natalia A., Gratiy, Sergey, Graybuck, Lucas, Gu, Hong, Hadley, Kristen, Hansen, Nathan, Heistek, Tim S., Henry, Alex M., Heyer, Djai B., Hill, DiJon, Hill, Chris, Hupp, Madie, Jarsky, Tim, Kebede, Sara, Keene, Lisa, Kim, Lisa, Kim, Mean-Hwan, Kroll, Matthew, Latimer, Caitlin, Levi, Boaz P., Link, Katherine E., Mallory, Matthew, Mann, Rusty, Marshall, Desiree, Maxwell, Michelle, McGraw, Medea, McMillen, Delissa, Melief, Erica, Mertens, Eline J., Mezei, Leona, Mihut, Norbert, Mok, Stephanie, Molnar, Gabor, Mukora, Alice, Ng, Lindsay, Ngo, Kiet, Nicovich, Philip R., Nyhus, Julie, Olah, Gaspar, Oldre, Aaron, Omstead, Victoria, Ozsvar, Attila, Park, Daniel, Peng, Hanchuan, Pham, Trangthanh, Pom, Christina A., Potekhina, Lydia, Rajanbabu, Ramkumar, Ransford, Shea, Reid, David, Rimorin, Christine, Ruiz, Augustin, Sandman, David, Sulc, Josef, Sunkin, Susan M., Szafer, Aaron, Szemenyei, Viktor, Thomsen, Elliot R., Tieu, Michael, Torkelson, Amy, Trinh, Jessica, Tung, Herman, Wakeman, Wayne, Waleboer, Femke, Ward, Katelyn, Wilbers, René, Williams, Grace, Yao, Zizhen, Yoon, Jae-Geun, Anastassiou, Costas, Arkhipov, Anton, Barzo, Pal, Bernard, Amy, Cobbs, Charles, de Witt Hamer, Philip C., Ellenbogen, Richard G., Esposito, Luke, Ferreira, Manuel, Gwinn, Ryder P., Hawrylycz, Michael J., Hof, Patrick R., Idema, Sander, Jones, Allan R., Keene, C. Dirk, Ko, Andrew L., Murphy, Gabe J., Ng, Lydia, Ojemann, Jeffrey G., Patel, Anoop P., Phillips, John W., Silbergeld, Daniel L., Smith, Kimberly, Tasic, Bosiljka, Yuste, Rafael, Segev, Idan, de Kock, Christiaan P. J., Mansvelder, Huibert D., Tamas, Gabor, Zeng, Hongkui, Koch, Christof, and Lein, Ed S.

Published
2022
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45. Dynamic Modulation of Local Population Activity by Rhythm Phase in Human Occipital Cortex During a Visual Search Task

Author

Miller, Kai J, Hermes, Dora, Honey, Christopher J, Sharma, Mohit, Rao, Rajesh PN, Nijs, Marcel den, Fetz, Eberhard E, Sejnowski, Terrence J, Hebb, Adam O, Ojemann, Jeffrey G, Makeig, Scott, and Leuthardt, Eric C

Subjects
Medical Physiology, Biomedical and Clinical Sciences, Clinical Research, Neurosciences, electrocorticography, occipital cortex, vision, broadband, rhythm, phase-amplitude coupling, nested oscillation, beta, phase–amplitude coupling, Psychology, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Brain rhythms are more than just passive phenomena in visual cortex. For the first time, we show that the physiology underlying brain rhythms actively suppresses and releases cortical areas on a second-to-second basis during visual processing. Furthermore, their influence is specific at the scale of individual gyri. We quantified the interaction between broadband spectral change and brain rhythms on a second-to-second basis in electrocorticographic (ECoG) measurement of brain surface potentials in five human subjects during a visual search task. Comparison of visual search epochs with a blank screen baseline revealed changes in the raw potential, the amplitude of rhythmic activity, and in the decoupled broadband spectral amplitude. We present new methods to characterize the intensity and preferred phase of coupling between broadband power and band-limited rhythms, and to estimate the magnitude of rhythm-to-broadband modulation on a trial-by-trial basis. These tools revealed numerous coupling motifs between the phase of low-frequency (δ, θ, α, β, and γ band) rhythms and the amplitude of broadband spectral change. In the θ and β ranges, the coupling of phase to broadband change is dynamic during visual processing, decreasing in some occipital areas and increasing in others, in a gyrally specific pattern. Finally, we demonstrate that the rhythms interact with one another across frequency ranges, and across cortical sites.

Published
2010

50. Target cell-specific synaptic dynamics of excitatory to inhibitory neuron connections in supragranular layers of human neocortex

Author

Kim, Mean-Hwan, primary, Radaelli, Cristina, additional, Thomsen, Elliot R, additional, Monet, Deja, additional, Chartrand, Thomas, additional, Jorstad, Nikolas L, additional, Mahoney, Joseph T, additional, Taormina, Michael J, additional, Long, Brian, additional, Baker, Katherine, additional, Bakken, Trygve E, additional, Campagnola, Luke, additional, Casper, Tamara, additional, Clark, Michael, additional, Dee, Nick, additional, D'Orazi, Florence, additional, Gamlin, Clare, additional, Kalmbach, Brian E, additional, Kebede, Sara, additional, Lee, Brian R, additional, Ng, Lindsay, additional, Trinh, Jessica, additional, Cobbs, Charles, additional, Gwinn, Ryder P, additional, Keene, C Dirk, additional, Ko, Andrew L, additional, Ojemann, Jeffrey G, additional, Silbergeld, Daniel L, additional, Sorensen, Staci A, additional, Berg, Jim, additional, Smith, Kimberly A, additional, Nicovich, Philip R, additional, Jarsky, Tim, additional, Zeng, Hongkui, additional, Ting, Jonathan T, additional, Levi, Boaz P, additional, and Lein, Ed, additional

Published
2023
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