Rangaprakash D - Search Results

1

Magnetic resonance imaging and spectroscopy in late-onset GM2-gangliosidosis.

Rowe OE, Rangaprakash D, Weerasekera A, Godbole N, Haxton E, James PF, Stephen CD, Barry RL, Eichler FS, Ratai EM. Rowe OE, et al. Among authors: rangaprakash d. Mol Genet Metab. 2021 Aug;133(4):386-396. doi: 10.1016/j.ymgme.2021.06.008. Epub 2021 Jun 24. Mol Genet Metab. 2021. PMID: 34226107 Free PMC article.

2

Ultra-high field (7T) functional magnetic resonance imaging in amyotrophic lateral sclerosis: a pilot study.

Barry RL, Babu S, Anteraper SA, Triantafyllou C, Keil B, Rowe OE, Rangaprakash D, Paganoni S, Lawson R, Dheel C, Cernasov PM, Rosen BR, Ratai EM, Atassi N. Barry RL, et al. Among authors: rangaprakash d. Neuroimage Clin. 2021;30:102648. doi: 10.1016/j.nicl.2021.102648. Epub 2021 Mar 30. Neuroimage Clin. 2021. PMID: 33872993 Free PMC article.

3

The confound of hemodynamic response function variability in human resting-state functional MRI studies.

Rangaprakash D, Barry RL, Deshpande G. Rangaprakash D, et al. Front Neurosci. 2023 Jul 14;17:934138. doi: 10.3389/fnins.2023.934138. eCollection 2023. Front Neurosci. 2023. PMID: 37521709 Free PMC article.

4

Characterization of Hemodynamic Alterations in Schizophrenia and Bipolar Disorder and Their Effect on Resting-State fMRI Functional Connectivity.

Yan W, Palaniyappan L, Liddle PF, Rangaprakash D, Wei W, Deshpande G. Yan W, et al. Among authors: rangaprakash d. Schizophr Bull. 2022 May 7;48(3):695-711. doi: 10.1093/schbul/sbab140. Schizophr Bull. 2022. PMID: 34951473 Free PMC article.

5

FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response.

Rangaprakash D, Tadayonnejad R, Deshpande G, O'Neill J, Feusner JD. Rangaprakash D, et al. Brain Imaging Behav. 2021 Jun;15(3):1622-1640. doi: 10.1007/s11682-020-00358-8. Brain Imaging Behav. 2021. PMID: 32761566 Free PMC article.

6

Neural and behavioral effects of modification of visual attention in body dysmorphic disorder.

Wong WW, Rangaprakash D, Diaz-Fong JP, Rotstein NM, Hellemann GS, Feusner JD. Wong WW, et al. Among authors: rangaprakash d. Transl Psychiatry. 2022 Aug 10;12(1):325. doi: 10.1038/s41398-022-02099-2. Transl Psychiatry. 2022. PMID: 35948537 Free PMC article.

7

Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies.

Rangaprakash D, Dretsch MN, Yan W, Katz JS, Denney TS Jr, Deshpande G. Rangaprakash D, et al. Neuroimage Clin. 2017 Jul 25;16:409-417. doi: 10.1016/j.nicl.2017.07.016. eCollection 2017. Neuroimage Clin. 2017. PMID: 28879082 Free PMC article.

8

Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studies.

Yan W, Rangaprakash D, Deshpande G. Yan W, et al. Among authors: rangaprakash d. Neuroimage Clin. 2018 Apr 13;19:320-330. doi: 10.1016/j.nicl.2018.04.013. eCollection 2018. Neuroimage Clin. 2018. PMID: 30013915 Free PMC article.

9

Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI data.

Rangaprakash D, Hu X, Deshpande G. Rangaprakash D, et al. Int J Neural Syst. 2013 Apr;23(2):1350003. doi: 10.1142/S0129065713500032. Epub 2013 Mar 3. Int J Neural Syst. 2013. PMID: 23578054

10

Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data.

Deshpande G, Wang P, Rangaprakash D, Wilamowski B. Deshpande G, et al. Among authors: rangaprakash d. IEEE Trans Cybern. 2015 Dec;45(12):2668-79. doi: 10.1109/TCYB.2014.2379621. Epub 2015 Jan 6. IEEE Trans Cybern. 2015. PMID: 25576588

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