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Your search keyword '"Prabhu, Sujit"' showing total 26 results
Start Over Author "Prabhu, Sujit" Publisher oxford university press / usa
26 results on '"Prabhu, Sujit"'

1. Intraoperative language mapping guided by real-time visualization of gamma band modulation electrocorticograms: Case report and proof of concept.

Author

Noll, Kyle R, Asman, Priscella, Tasnim, Israt, Hall, Matthew, Connelly, Katherine, Swamy, Chandra, Ene, Chibawanye, Tummala, Sudhakar, Grasu, Roxana M, Liu, Ho-Ling, Kumar, Vinodh A, Muir, Matthew, Prinsloo, Sarah, Michener, Hayley, Wefel, Jeffrey S, Ince, Nuri F, and Prabhu, Sujit S

Subjects
TEMPORAL lobe, PROOF of concept, DATA visualization, FUNCTIONAL magnetic resonance imaging
Abstract

Background Electrocorticography (ECoG) language mapping is often performed extraoperatively, frequently involves offline processing, and relationships with direct cortical stimulation (DCS) remain variable. We sought to determine the feasibility and preliminary utility of an intraoperative language mapping approach guided by real-time visualization of electrocorticograms. Methods A patient with astrocytoma underwent awake craniotomy with intraoperative language mapping, utilizing a dual iPad stimulus presentation system coupled to a real-time neural signal processing platform capable of both ECoG recording and delivery of DCS. Gamma band modulations in response to 4 language tasks at each electrode were visualized in real-time. Next, DCS was conducted for each neighboring electrode pair during language tasks. Results All language tasks resulted in strongest heat map activation at an electrode pair in the anterior to mid superior temporal gyrus. Consistent speech arrest during DCS was observed for Object and Action naming tasks at these same electrodes, indicating good correspondence with ECoG heat map recordings. This region corresponded well with posterior language representation via preoperative functional MRI. Conclusions Intraoperative real-time visualization of language task-based ECoG gamma band modulation is feasible and may help identify targets for DCS. If validated, this may improve the efficiency and accuracy of intraoperative language mapping. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Changes in outcomes and factors associated with survival in melanoma patients with brain metastases.

Author

Hasanov, Merve, Milton, Denái R, Davies, Alicia Bea, Sirmans, Elizabeth, Saberian, Chantal, Posada, Eliza L, Opusunju, Sylvia, Gershenwald, Jeffrey E, Torres-Cabala, Carlos A, Burton, Elizabeth M, Colen, Rivka R, Huse, Jason T, Oliva, Isabella C Glitza, Chung, Caroline, McAleer, Mary Frances, McGovern, Susan L, Yeboa, Debra N, Kim, Betty Y S, Prabhu, Sujit S, and McCutcheon, Ian E

Published
2023
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3. Efficacy of laser interstitial thermal therapy for biopsy-proven radiation necrosis in radiographically recurrent brain metastases.

Author

Chan, Michael, Tatter, Steven, Chiang, Veronica, Fecci, Peter, Strowd, Roy, Prabhu, Sujit, Hadjipanayis, Constantinos, Kirkpatrick, John, Sun, David, Sinicrope, Kaylyn, Mohammadi, Alireza M, Sevak, Parag, Abram, Steven, Kim, Albert H, Leuthardt, Eric, Chao, Samuel, Phillips, John, Lacroix, Michel, Williams, Brian, and Placantonakis, Dimitris

Published
2023
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5. Patterns of failure after radiation therapy in primary spinal high-grade gliomas: A single institutional analysis.

Author

Upadhyay, Rituraj, Khose, Swapnil, Pokhylevych, Halyna, Paulino, Arnold C., McAleer, Mary Frances, Ghia, Amol, Jing Li, Yeboa, Debra Nana, Loghin, Monica, Harrison, Rebecca, O'Brien, Barbara, Kamiya-Matsuoka, Carlos, De Groot, John, Puduvalli, Vinay K., Tatsui, Claudio, Alvarez-Breckenridge, Christopher, Prabhu, Sujit, Rhines, Larry, Zaky, Wafik, and Lin, Frank

Published
2022
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7. Efficacy of laser interstitial thermal therapy (LITT) for newly diagnosed and recurrent IDH wild-type glioblastoma.

Author

de Groot, John F., Kim, Albert H., Prabhu, Sujit, Rao, Ganesh, Laxton, Adrian W., Fecci, Peter E., O'Brien, Barbara J., Sloan, Andrew, Chiang, Veronica, Tatter, Stephen B., Mohammadi, Alireza M., Placantonakis, Dimitris G., Strowd, Roy E., Chen, Clark, Hadjipanayis, Constantinos, Khasraw, Mustafa, Sun, David, Piccioni, David, Sinicrope, Kaylyn D., and Campian, Jian L.

Published
2022
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13. Biological subtypes and survival outcomes in breast cancer patients with brain metastases in the targeted therapy era.

Author

Bastos, Dhiego Chaves de Almeida, Maldaun, Marcos Vinicius Calfat, Sawaya, Raymond, Suki, Dima, Lang, Frederick F, Brown, Paul D, Rao, Ganesh, Weinberg, Jeffrey S, and Prabhu, Sujit S

Subjects
BREAST cancer patients, METASTASIS, EPIDERMAL growth factor, CANCER in women, REGRESSION analysis
Abstract

Background There is recognition that breast cancer is a collection of heterogeneous diseases divided in subtypes based on combined molecular features such as hormonal receptors (HR) and human epidermal growth factor receptor 2 (HER2) status. We aimed to study clinical differences among biological subtypes in brain metastasis from breast cancer after targeted therapy introduction. Methods This was a retrospective study with 406 consecutive patients with brain metastasis from breast cancer treated at MD Anderson Cancer Center from 1998 to 2013. Overall, 315 of these patients met the study criteria and were analyzed. Subtypes were classified as HER2-/HR+ (96 patients), HER2+/HR+ (57 patients), HER2+/HR- (63 patients), and triple negative (HER2-/HR-) (99 patients). End points were time to development of brain metastasis (TDBM), brain metastasis-free survival (BMFS), and overall survival from start of treatment of brain metastasis (OSBM). Univariate and multivariate Cox proportional hazard regression models were used to analyze the data. Results TDBM was 41 months for HER2-/HR+; 58 months for HER2+/HR+; 30 months for HER2+/HR-; and 27 months for triple negative (P <.001). BMFS was 9 months for HER2-/HR+; 24 months for HER2+/HR+; 9 months for HER2+/HR-; and 7 months for triple negative (P =.06). OSBM was 20 months for HER2-/HR+; 22 months for HER2+/HR+; 24 months for HER2+/HR-; and 9 months for triple negative (P <.001). On multivariate analyses, triple negative showed lower OSBM compared with other subtypes, with a hazard ratio of 1.9 (P <.001). Conclusion Comparing all breast cancer subgroups we noticed that HR and HER2 are the most significant biomarkers in brain metastasis behavior. Patients who received targeted therapy had better outcomes, but not in the triple negative group. Prospective studies with different treatment modalities for each subgroup are recommended. [ABSTRACT FROM AUTHOR]

Published
2018
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14. Stereotyped high-frequency oscillations discriminate seizure onset zones and critical functional cortex in focal epilepsy.

Author

Su Liu, Gurses, Candan, Zhiyi Sha, Quach, Michael M., Sencer, Altay, Bebek, Nerses, Curry, Daniel J., Prabhu, Sujit, Tummala, Sudhakar, Henry, Thomas R., Ince, Nuri F., Liu, Su, and Sha, Zhiyi

Subjects
HIGH-frequency ventilation (Therapy), BIOLOGICAL tags, SPASM treatment, PARTIAL epilepsy, PEOPLE with epilepsy, THERAPEUTICS, BIOMARKERS, CEREBRAL cortex, SEIZURES (Medicine), ELECTROENCEPHALOGRAPHY, EPILEPSY, SPASMS, WAVE analysis, CLASSIFICATION
Abstract

High-frequency oscillations in local field potentials recorded with intracranial EEG are putative biomarkers of seizure onset zones in epileptic brain. However, localized 80-500 Hz oscillations can also be recorded from normal and non-epileptic cerebral structures. When defined only by rate or frequency, physiological high-frequency oscillations are indistinguishable from pathological ones, which limit their application in epilepsy presurgical planning. We hypothesized that pathological high-frequency oscillations occur in a repetitive fashion with a similar waveform morphology that specifically indicates seizure onset zones. We investigated the waveform patterns of automatically detected high-frequency oscillations in 13 epilepsy patients and five control subjects, with an average of 73 subdural and intracerebral electrodes recorded per patient. The repetitive oscillatory waveforms were identified by using a pipeline of unsupervised machine learning techniques and were then correlated with independently clinician-defined seizure onset zones. Consistently in all patients, the stereotypical high-frequency oscillations with the highest degree of waveform similarity were localized within the seizure onset zones only, whereas the channels generating high-frequency oscillations embedded in random waveforms were found in the functional regions independent from the epileptogenic locations. The repetitive waveform pattern was more evident in fast ripples compared to ripples, suggesting a potential association between waveform repetition and the underlying pathological network. Our findings provided a new tool for the interpretation of pathological high-frequency oscillations that can be efficiently applied to distinguish seizure onset zones from functionally important sites, which is a critical step towards the translation of these signature events into valid clinical biomarkers.awx374media15721572971001. [ABSTRACT FROM AUTHOR]

Published
2018
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