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Showing 1 to 12 of 43 entries
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Limitations and tradeoffs in synchronization of large-scale networks with uncertain links.

Scientific reports

Diwadkar A, Vaidya U.
PMID: 27067994
Sci Rep. 2016 Apr 12;6:21157. doi: 10.1038/srep21157.

The synchronization of nonlinear systems connected over large-scale networks has gained popularity in a variety of applications, such as power grids, sensor networks, and biology. Stochastic uncertainty in the interconnections is a ubiquitous phenomenon observed in these physical and...

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Diwadkar A, Vaidya U. Limitations and tradeoffs in synchronization of large-scale networks with uncertain links. Sci Rep. 2016;6:21157doi: 10.1038/srep21157.
Diwadkar, A., & Vaidya, U. (2016). Limitations and tradeoffs in synchronization of large-scale networks with uncertain links. Scientific reports, 621157. https://doi.org/10.1038/srep21157
Diwadkar, Amit, and Vaidya, Umesh. "Limitations and tradeoffs in synchronization of large-scale networks with uncertain links." Scientific reports vol. 6 (2016): 21157. doi: https://doi.org/10.1038/srep21157
Diwadkar A, Vaidya U. Limitations and tradeoffs in synchronization of large-scale networks with uncertain links. Sci Rep. 2016 Apr 12;6:21157. doi: 10.1038/srep21157. PMID: 27067994; PMCID: PMC4828643.
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Dysfunctional Activation and Brain Network Profiles in Youth with Obsessive-Compulsive Disorder: A Focus on the Dorsal Anterior Cingulate during Working Memory.

Frontiers in human neuroscience

Diwadkar VA, Burgess A, Hong E, Rix C, Arnold PD, Hanna GL, Rosenberg DR.
PMID: 25852529
Front Hum Neurosci. 2015 Mar 17;9:149. doi: 10.3389/fnhum.2015.00149. eCollection 2015.

Brain network dysfunction is emerging as a central biomarker of interest in psychiatry, in large part, because psychiatric conditions are increasingly seen as disconnection syndromes. Understanding dysfunctional brain network profiles in task-active states provides important information on network engagement...

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Diwadkar VA, Burgess A, Hong E, et al. Dysfunctional Activation and Brain Network Profiles in Youth with Obsessive-Compulsive Disorder: A Focus on the Dorsal Anterior Cingulate during Working Memory. Front Hum Neurosci. 2015;9:149doi: 10.3389/fnhum.2015.00149.
Diwadkar, V. A., Burgess, A., Hong, E., Rix, C., Arnold, P. D., Hanna, G. L., & Rosenberg, D. R. (2015). Dysfunctional Activation and Brain Network Profiles in Youth with Obsessive-Compulsive Disorder: A Focus on the Dorsal Anterior Cingulate during Working Memory. Frontiers in human neuroscience, 9149. https://doi.org/10.3389/fnhum.2015.00149
Diwadkar, Vaibhav A, et al. "Dysfunctional Activation and Brain Network Profiles in Youth with Obsessive-Compulsive Disorder: A Focus on the Dorsal Anterior Cingulate during Working Memory." Frontiers in human neuroscience vol. 9 (2015): 149. doi: https://doi.org/10.3389/fnhum.2015.00149
Diwadkar VA, Burgess A, Hong E, Rix C, Arnold PD, Hanna GL, Rosenberg DR. Dysfunctional Activation and Brain Network Profiles in Youth with Obsessive-Compulsive Disorder: A Focus on the Dorsal Anterior Cingulate during Working Memory. Front Hum Neurosci. 2015 Mar 17;9:149. doi: 10.3389/fnhum.2015.00149. eCollection 2015. PMID: 25852529; PMCID: PMC4362304.
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How to organise the paediatric MRCP (UK). Part II. Clinical examination.

Archives of disease in childhood

Diwakar V, Kumaratne B, Hyde M, Anderson JM.
PMID: 9579174
Arch Dis Child. 1998 Feb;78(2):195-6. doi: 10.1136/adc.78.2.194f.

No abstract available.

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Diwakar V, Kumaratne B, Hyde M, et al. How to organise the paediatric MRCP (UK). Part II. Clinical examination. Arch Dis Child. 1998;78(2):195-6doi: 10.1136/adc.78.2.194f.
Diwakar, V., Kumaratne, B., Hyde, M., & Anderson, J. M. (1998). How to organise the paediatric MRCP (UK). Part II. Clinical examination. Archives of disease in childhood, 78(2), 195-6. https://doi.org/10.1136/adc.78.2.194f
Diwakar, V, et al. "How to organise the paediatric MRCP (UK). Part II. Clinical examination." Archives of disease in childhood vol. 78,2 (1998): 195-6. doi: https://doi.org/10.1136/adc.78.2.194f
Diwakar V, Kumaratne B, Hyde M, Anderson JM. How to organise the paediatric MRCP (UK). Part II. Clinical examination. Arch Dis Child. 1998 Feb;78(2):195-6. doi: 10.1136/adc.78.2.194f. PMID: 9579174; PMCID: PMC1717461.
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Cavum septi pellucidi in first-episode patients and young relatives at risk for schizophrenia.

CNS spectrums

Keshavan MS, Jayakumar PN, Diwadkar VA, Singh A.
PMID: 15220858
CNS Spectr. 2002 Feb;7(2):155-8. doi: 10.1017/s1092852900017478.

Studies on schizophrenia (SZ) have documented an increased presence of cavum septi pellucidi (CSP) in individuals suffering from the illness. Moreover, the presence of CSP has been cited in support of the early neurodevelopmental hypothesis in SZ. Our objective...

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Keshavan MS, Jayakumar PN, Diwadkar VA, et al. Cavum septi pellucidi in first-episode patients and young relatives at risk for schizophrenia. CNS Spectr. 2002;7(2):155-8doi: 10.1017/s1092852900017478.
Keshavan, M. S., Jayakumar, P. N., Diwadkar, V. A., & Singh, A. (2002). Cavum septi pellucidi in first-episode patients and young relatives at risk for schizophrenia. CNS spectrums, 7(2), 155-8. https://doi.org/10.1017/s1092852900017478
Keshavan, Matcheri S, et al. "Cavum septi pellucidi in first-episode patients and young relatives at risk for schizophrenia." CNS spectrums vol. 7,2 (2002): 155-8. doi: https://doi.org/10.1017/s1092852900017478
Keshavan MS, Jayakumar PN, Diwadkar VA, Singh A. Cavum septi pellucidi in first-episode patients and young relatives at risk for schizophrenia. CNS Spectr. 2002 Feb;7(2):155-8. doi: 10.1017/s1092852900017478. PMID: 15220858.
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Residents' Perception of the Nephrology Specialty.

Kidney international reports

Nakhoul GN, Mehdi A, Taliercio JJ, Brateanu A, Diwakar A, Daou R, Foshee CM, Sedor JR, Nally JV, O'Toole JF, Bierer SB.
PMID: 31922064
Kidney Int Rep. 2019 Aug 30;5(1):94-99. doi: 10.1016/j.ekir.2019.08.013. eCollection 2020 Jan.

No abstract available.

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Nakhoul GN, Mehdi A, Taliercio JJ, et al. Residents' Perception of the Nephrology Specialty. Kidney Int Rep. 2019;5(1):94-99doi: 10.1016/j.ekir.2019.08.013.
Nakhoul, G. N., Mehdi, A., Taliercio, J. J., Brateanu, A., Diwakar, A., Daou, R., Foshee, C. M., Sedor, J. R., Nally, J. V., O'Toole, J. F., & Bierer, S. B. (2020). Residents' Perception of the Nephrology Specialty. Kidney international reports, 5(1), 94-99. https://doi.org/10.1016/j.ekir.2019.08.013
Nakhoul, Georges N, et al. "Residents' Perception of the Nephrology Specialty." Kidney international reports vol. 5,1 (2020): 94-99. doi: https://doi.org/10.1016/j.ekir.2019.08.013
Nakhoul GN, Mehdi A, Taliercio JJ, Brateanu A, Diwakar A, Daou R, Foshee CM, Sedor JR, Nally JV, O'Toole JF, Bierer SB. Residents' Perception of the Nephrology Specialty. Kidney Int Rep. 2019 Aug 30;5(1):94-99. doi: 10.1016/j.ekir.2019.08.013. eCollection 2020 Jan. PMID: 31922064; PMCID: PMC6943949.
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From mathematics to medicine: A practical primer on topological data analysis (TDA) and the development of related analytic tools for the functional discovery of latent structure in fMRI data.

PloS one

Salch A, Regalski A, Abdallah H, Suryadevara R, Catanzaro MJ, Diwadkar VA.
PMID: 34383838
PLoS One. 2021 Aug 12;16(8):e0255859. doi: 10.1371/journal.pone.0255859. eCollection 2021.

fMRI is the preeminent method for collecting signals from the human brain in vivo, for using these signals in the service of functional discovery, and relating these discoveries to anatomical structure. Numerous computational and mathematical techniques have been deployed...

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Salch A, Regalski A, Abdallah H, et al. From mathematics to medicine: A practical primer on topological data analysis (TDA) and the development of related analytic tools for the functional discovery of latent structure in fMRI data. PLoS One. 2021;16(8):e0255859doi: 10.1371/journal.pone.0255859.
Salch, A., Regalski, A., Abdallah, H., Suryadevara, R., Catanzaro, M. J., & Diwadkar, V. A. (2021). From mathematics to medicine: A practical primer on topological data analysis (TDA) and the development of related analytic tools for the functional discovery of latent structure in fMRI data. PloS one, 16(8), e0255859. https://doi.org/10.1371/journal.pone.0255859
Salch, Andrew, et al. "From mathematics to medicine: A practical primer on topological data analysis (TDA) and the development of related analytic tools for the functional discovery of latent structure in fMRI data." PloS one vol. 16,8 (2021): e0255859. doi: https://doi.org/10.1371/journal.pone.0255859
Salch A, Regalski A, Abdallah H, Suryadevara R, Catanzaro MJ, Diwadkar VA. From mathematics to medicine: A practical primer on topological data analysis (TDA) and the development of related analytic tools for the functional discovery of latent structure in fMRI data. PLoS One. 2021 Aug 12;16(8):e0255859. doi: 10.1371/journal.pone.0255859. eCollection 2021. PMID: 34383838; PMCID: PMC8360597.
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Multiomics Analysis Identifies BIRC3 as a Novel Glucocorticoid Response-Associated Gene.

The Journal of allergy and clinical immunology

Kan M, Diwadkar AR, Shuai H, Joo J, Wang AL, Ong MS, Sordillo JE, Iribarren C, Lu MX, Hernandez-Pacheco N, Perez-Garcia J, Gorenjak M, Potočnik U, Burchard EG, Pino-Yanes M, Wu AC, Himes BE.
PMID: 34971648
J Allergy Clin Immunol. 2021 Dec 28; doi: 10.1016/j.jaci.2021.11.025. Epub 2021 Dec 28.

BACKGROUND: Inhaled corticosteroid (ICS) response among patients with asthma is influenced by genetics, but biologically actionable insights based on associations have not been found. Various glucocorticoid response omics datasets are available to interrogate their biological effects.OBJECTIVE: We sought to...

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Kan M, Diwadkar AR, Shuai H, et al. Multiomics Analysis Identifies BIRC3 as a Novel Glucocorticoid Response-Associated Gene. J Allergy Clin Immunol. 2021;doi: 10.1016/j.jaci.2021.11.025.
Kan, M., Diwadkar, A. R., Shuai, H., Joo, J., Wang, A. L., Ong, M. S., Sordillo, J. E., Iribarren, C., Lu, M. X., Hernandez-Pacheco, N., Perez-Garcia, J., Gorenjak, M., Potočnik, U., Burchard, E. G., Pino-Yanes, M., Wu, A. C., & Himes, B. E. (2021). Multiomics Analysis Identifies BIRC3 as a Novel Glucocorticoid Response-Associated Gene. The Journal of allergy and clinical immunology, . https://doi.org/10.1016/j.jaci.2021.11.025
Kan, Mengyuan, et al. "Multiomics Analysis Identifies BIRC3 as a Novel Glucocorticoid Response-Associated Gene." The Journal of allergy and clinical immunology vol. (2021). doi: https://doi.org/10.1016/j.jaci.2021.11.025
Kan M, Diwadkar AR, Shuai H, Joo J, Wang AL, Ong MS, Sordillo JE, Iribarren C, Lu MX, Hernandez-Pacheco N, Perez-Garcia J, Gorenjak M, Potočnik U, Burchard EG, Pino-Yanes M, Wu AC, Himes BE. Multiomics Analysis Identifies BIRC3 as a Novel Glucocorticoid Response-Associated Gene. J Allergy Clin Immunol. 2021 Dec 28; doi: 10.1016/j.jaci.2021.11.025. Epub 2021 Dec 28. PMID: 34971648.
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Oculomotor delayed response abnormalities in young offspring and siblings at risk for schizophrenia.

CNS spectrums

Diwadkar VA, Sweeney JA, Boarts D, Montrose DM, Keshavan MS.
PMID: 15328471
CNS Spectr. 2001 Nov;6(11):899-903. doi: 10.1017/s109285290000095x.

Individuals with schizophrenia are know to demonstrate cognitive and behavioral difficulties, particularly alterations in executive functions, including working memory. It is unclear whether these deficits reflect trait-related vulnerability to schizophrenia indicators and can be assessed by studying nonpsychotic relatives...

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Diwadkar VA, Sweeney JA, Boarts D, et al. Oculomotor delayed response abnormalities in young offspring and siblings at risk for schizophrenia. CNS Spectr. 2001;6(11):899-903doi: 10.1017/s109285290000095x.
Diwadkar, V. A., Sweeney, J. A., Boarts, D., Montrose, D. M., & Keshavan, M. S. (2001). Oculomotor delayed response abnormalities in young offspring and siblings at risk for schizophrenia. CNS spectrums, 6(11), 899-903. https://doi.org/10.1017/s109285290000095x
Diwadkar, V A, et al. "Oculomotor delayed response abnormalities in young offspring and siblings at risk for schizophrenia." CNS spectrums vol. 6,11 (2001): 899-903. doi: https://doi.org/10.1017/s109285290000095x
Diwadkar VA, Sweeney JA, Boarts D, Montrose DM, Keshavan MS. Oculomotor delayed response abnormalities in young offspring and siblings at risk for schizophrenia. CNS Spectr. 2001 Nov;6(11):899-903. doi: 10.1017/s109285290000095x. PMID: 15328471.
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Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate autoregressive models.

Human brain mapping

Baajour SJ, Chowdury A, Thomas P, Rajan U, Khatib D, Zajac-Benitez C, Falco D, Haddad L, Amirsadri A, Bressler S, Stanley JA, Diwadkar VA.
PMID: 32436639
Hum Brain Mapp. 2020 Sep;41(13):3594-3607. doi: 10.1002/hbm.25032. Epub 2020 May 21.

Directional network interactions underpin normative brain function in key domains including associative learning. Schizophrenia (SCZ) is characterized by altered learning dynamics, yet dysfunctional directional functional connectivity (dFC) evoked during learning is rarely assessed. Here, nonlinear learning dynamics were induced...

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Baajour SJ, Chowdury A, Thomas P, et al. Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate autoregressive models. Hum Brain Mapp. 2020;41(13):3594-3607doi: 10.1002/hbm.25032.
Baajour, S. J., Chowdury, A., Thomas, P., Rajan, U., Khatib, D., Zajac-Benitez, C., Falco, D., Haddad, L., Amirsadri, A., Bressler, S., Stanley, J. A., & Diwadkar, V. A. (2020). Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate autoregressive models. Human brain mapping, 41(13), 3594-3607. https://doi.org/10.1002/hbm.25032
Baajour, Shahira J, et al. "Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate autoregressive models." Human brain mapping vol. 41,13 (2020): 3594-3607. doi: https://doi.org/10.1002/hbm.25032
Baajour SJ, Chowdury A, Thomas P, Rajan U, Khatib D, Zajac-Benitez C, Falco D, Haddad L, Amirsadri A, Bressler S, Stanley JA, Diwadkar VA. Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate autoregressive models. Hum Brain Mapp. 2020 Sep;41(13):3594-3607. doi: 10.1002/hbm.25032. Epub 2020 May 21. PMID: 32436639; PMCID: PMC7416040.
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COVID-19 Pandemic-Related Reductions in Pediatric Asthma Exacerbations Corresponded with an Overall Decrease in Respiratory Viral Infections.

The journal of allergy and clinical immunology. In practice

Sayed S, Diwadkar AR, Dudley JW, O'Brien J, Dvorin D, Kenyon CC, Himes BE, Hill DA, Henrickson SE.
PMID: 34785388
J Allergy Clin Immunol Pract. 2021 Nov 13; doi: 10.1016/j.jaip.2021.10.067. Epub 2021 Nov 13.

BACKGROUND: Respiratory viruses, air pollutants, and aeroallergens are all implicated in worsening pediatric asthma symptoms, but their relative contributions to asthma exacerbations are poorly understood. A significant decrease in asthma exacerbations has been observed during the COVID-19 pandemic, providing...

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Sayed S, Diwadkar AR, Dudley JW, et al. COVID-19 Pandemic-Related Reductions in Pediatric Asthma Exacerbations Corresponded with an Overall Decrease in Respiratory Viral Infections. J Allergy Clin Immunol Pract. 2021;doi: 10.1016/j.jaip.2021.10.067.
Sayed, S., Diwadkar, A. R., Dudley, J. W., O'Brien, J., Dvorin, D., Kenyon, C. C., Himes, B. E., Hill, D. A., & Henrickson, S. E. (2021). COVID-19 Pandemic-Related Reductions in Pediatric Asthma Exacerbations Corresponded with an Overall Decrease in Respiratory Viral Infections. The journal of allergy and clinical immunology. In practice, . https://doi.org/10.1016/j.jaip.2021.10.067
Sayed, Samir, et al. "COVID-19 Pandemic-Related Reductions in Pediatric Asthma Exacerbations Corresponded with an Overall Decrease in Respiratory Viral Infections." The journal of allergy and clinical immunology. In practice vol. (2021). doi: https://doi.org/10.1016/j.jaip.2021.10.067
Sayed S, Diwadkar AR, Dudley JW, O'Brien J, Dvorin D, Kenyon CC, Himes BE, Hill DA, Henrickson SE. COVID-19 Pandemic-Related Reductions in Pediatric Asthma Exacerbations Corresponded with an Overall Decrease in Respiratory Viral Infections. J Allergy Clin Immunol Pract. 2021 Nov 13; doi: 10.1016/j.jaip.2021.10.067. Epub 2021 Nov 13. PMID: 34785388; PMCID: PMC8590625.
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Network Profiles of the Dorsal Anterior Cingulate and Dorsal Prefrontal Cortex in Schizophrenia During Hippocampal-Based Associative Memory.

Frontiers in systems neuroscience

Woodcock EA, Wadehra S, Diwadkar VA.
PMID: 27092063
Front Syst Neurosci. 2016 Apr 07;10:32. doi: 10.3389/fnsys.2016.00032. eCollection 2016.

Schizophrenia is a disorder characterized by brain network dysfunction, particularly during behavioral tasks that depend on frontal and hippocampal mechanisms. Here, we investigated network profiles of the regions of the frontal cortex during memory encoding and retrieval, phases of...

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Woodcock EA, Wadehra S, Diwadkar VA. Network Profiles of the Dorsal Anterior Cingulate and Dorsal Prefrontal Cortex in Schizophrenia During Hippocampal-Based Associative Memory. Front Syst Neurosci. 2016;10:32doi: 10.3389/fnsys.2016.00032.
Woodcock, E. A., Wadehra, S., & Diwadkar, V. A. (2016). Network Profiles of the Dorsal Anterior Cingulate and Dorsal Prefrontal Cortex in Schizophrenia During Hippocampal-Based Associative Memory. Frontiers in systems neuroscience, 1032. https://doi.org/10.3389/fnsys.2016.00032
Woodcock, Eric A, et al. "Network Profiles of the Dorsal Anterior Cingulate and Dorsal Prefrontal Cortex in Schizophrenia During Hippocampal-Based Associative Memory." Frontiers in systems neuroscience vol. 10 (2016): 32. doi: https://doi.org/10.3389/fnsys.2016.00032
Woodcock EA, Wadehra S, Diwadkar VA. Network Profiles of the Dorsal Anterior Cingulate and Dorsal Prefrontal Cortex in Schizophrenia During Hippocampal-Based Associative Memory. Front Syst Neurosci. 2016 Apr 07;10:32. doi: 10.3389/fnsys.2016.00032. eCollection 2016. PMID: 27092063; PMCID: PMC4823313.
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Regulation of Brown Adipose Tissue Activity by Interoceptive CNS Pathways: The interaction between Brain and Periphery.

Frontiers in neuroscience

Muzik O, Diwadkar VA.
PMID: 29200996
Front Neurosci. 2017 Nov 16;11:640. doi: 10.3389/fnins.2017.00640. eCollection 2017.

To maintain thermal homeostasis, specific thermogenic tissues are under the control of central thermoregulatory networks that regulate the body's response to thermal challenges. One of these mechanisms involves non-shivering thermogenesis in brown adipose tissue (BAT), which is activated in...

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Muzik O, Diwadkar VA. Regulation of Brown Adipose Tissue Activity by Interoceptive CNS Pathways: The interaction between Brain and Periphery. Front Neurosci. 2017;11:640doi: 10.3389/fnins.2017.00640.
Muzik, O., & Diwadkar, V. A. (2017). Regulation of Brown Adipose Tissue Activity by Interoceptive CNS Pathways: The interaction between Brain and Periphery. Frontiers in neuroscience, 11640. https://doi.org/10.3389/fnins.2017.00640
Muzik, Otto, and Diwadkar, Vaibhav A. "Regulation of Brown Adipose Tissue Activity by Interoceptive CNS Pathways: The interaction between Brain and Periphery." Frontiers in neuroscience vol. 11 (2017): 640. doi: https://doi.org/10.3389/fnins.2017.00640
Muzik O, Diwadkar VA. Regulation of Brown Adipose Tissue Activity by Interoceptive CNS Pathways: The interaction between Brain and Periphery. Front Neurosci. 2017 Nov 16;11:640. doi: 10.3389/fnins.2017.00640. eCollection 2017. PMID: 29200996; PMCID: PMC5696740.
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