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Showing 1 to 12 of 19 entries
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SU-D-218-01: Support Vector Machine Tissue Classification of Multiparametric MRI Tumor Data.

Medical physics

Heredia G, Koay G, Turski P, Meyerand M.
PMID: 28517375
Med Phys. 2012 Jun;39(6):3622. doi: 10.1118/1.4734704.

PURPOSE: To test the accuracy of Support Vector Machines in the classification of Glioblastoma Multiforme tumor voxels usingmultiparametric MRI data.METHODS: Various MRI scans were collected from patients with recurrent GBM. Each scan session collected post-contrastT1(+C T1), T2, diffusion, perfusion,...

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Heredia G, Koay G, Turski P, et al. SU-D-218-01: Support Vector Machine Tissue Classification of Multiparametric MRI Tumor Data. Med Phys. 2012;39(6):3622doi: 10.1118/1.4734704.
Heredia, G., Koay, G., Turski, P., & Meyerand, M. (2012). SU-D-218-01: Support Vector Machine Tissue Classification of Multiparametric MRI Tumor Data. Medical physics, 39(6), 3622. https://doi.org/10.1118/1.4734704
Heredia, G, et al. "SU-D-218-01: Support Vector Machine Tissue Classification of Multiparametric MRI Tumor Data." Medical physics vol. 39,6 (2012): 3622. doi: https://doi.org/10.1118/1.4734704
Heredia G, Koay G, Turski P, Meyerand M. SU-D-218-01: Support Vector Machine Tissue Classification of Multiparametric MRI Tumor Data. Med Phys. 2012 Jun;39(6):3622. doi: 10.1118/1.4734704. PMID: 28517375.
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Age-Related Changes in BOLD Activation Pattern in Phonemic Fluency Paradigm: An Investigation of Activation, Functional Connectivity and Psychophysiological Interactions.

Frontiers in aging neuroscience

La C, Garcia-Ramos C, Nair VA, Meier TB, Farrar-Edwards D, Birn R, Meyerand ME, Prabhakaran V.
PMID: 27242519
Front Aging Neurosci. 2016 May 23;8:110. doi: 10.3389/fnagi.2016.00110. eCollection 2016.

Healthy aging is associated with decline of cognitive functions. However, even before those declines become noticeable, the neural architecture underlying those mechanisms has undergone considerable restructuring and reorganization. During performance of a cognitive task, not only have the task-relevant...

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La C, Garcia-Ramos C, Nair VA, et al. Age-Related Changes in BOLD Activation Pattern in Phonemic Fluency Paradigm: An Investigation of Activation, Functional Connectivity and Psychophysiological Interactions. Front Aging Neurosci. 2016;8:110doi: 10.3389/fnagi.2016.00110.
La, C., Garcia-Ramos, C., Nair, V. A., Meier, T. B., Farrar-Edwards, D., Birn, R., Meyerand, M. E., & Prabhakaran, V. (2016). Age-Related Changes in BOLD Activation Pattern in Phonemic Fluency Paradigm: An Investigation of Activation, Functional Connectivity and Psychophysiological Interactions. Frontiers in aging neuroscience, 8110. https://doi.org/10.3389/fnagi.2016.00110
La, Christian, et al. "Age-Related Changes in BOLD Activation Pattern in Phonemic Fluency Paradigm: An Investigation of Activation, Functional Connectivity and Psychophysiological Interactions." Frontiers in aging neuroscience vol. 8 (2016): 110. doi: https://doi.org/10.3389/fnagi.2016.00110
La C, Garcia-Ramos C, Nair VA, Meier TB, Farrar-Edwards D, Birn R, Meyerand ME, Prabhakaran V. Age-Related Changes in BOLD Activation Pattern in Phonemic Fluency Paradigm: An Investigation of Activation, Functional Connectivity and Psychophysiological Interactions. Front Aging Neurosci. 2016 May 23;8:110. doi: 10.3389/fnagi.2016.00110. eCollection 2016. PMID: 27242519; PMCID: PMC4876121.
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Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures.

Interdisciplinary neurosurgery : Advanced techniques and case management

Vergun S, Suhonen JI, Nair VA, Kuo JS, Baskaya MK, Garcia-Ramos C, Meyerand EE, Prabhakaran V.
PMID: 34984173
Interdiscip Neurosurg. 2018 Sep;13:109-118. doi: 10.1016/j.inat.2018.04.013. Epub 2018 Apr 25.

BACKGROUND: Advanced neuroimaging measures along with clinical variables acquired during standard imaging protocols provide a rich source of information for brain tumor patient treatment and management. Machine learning analysis has had much recent success in neuroimaging applications for normal...

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Vergun S, Suhonen JI, Nair VA, et al. Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures. Interdiscip Neurosurg. 2018;13:109-118doi: 10.1016/j.inat.2018.04.013.
Vergun, S., Suhonen, J. I., Nair, V. A., Kuo, J. S., Baskaya, M. K., Garcia-Ramos, C., Meyerand, E. E., & Prabhakaran, V. (2018). Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures. Interdisciplinary neurosurgery : Advanced techniques and case management, 13109-118. https://doi.org/10.1016/j.inat.2018.04.013
Vergun, Svyat, et al. "Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures." Interdisciplinary neurosurgery : Advanced techniques and case management vol. 13 (2018): 109-118. doi: https://doi.org/10.1016/j.inat.2018.04.013
Vergun S, Suhonen JI, Nair VA, Kuo JS, Baskaya MK, Garcia-Ramos C, Meyerand EE, Prabhakaran V. Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures. Interdiscip Neurosurg. 2018 Sep;13:109-118. doi: 10.1016/j.inat.2018.04.013. Epub 2018 Apr 25. PMID: 34984173; PMCID: PMC8722581.
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Childhood Emotional Abuse Moderates Associations Among Corticomotor White Matter Structure and Stress Neuromodulators in Women With and Without Depression.

Frontiers in neuroscience

Frost CP, Meyerand ME, Birn RM, Hoks RM, Walsh EC, Abercrombie HC.
PMID: 29740273
Front Neurosci. 2018 Apr 23;12:256. doi: 10.3389/fnins.2018.00256. eCollection 2018.

Adverse caregiving during development can produce long-lasting changes to neural, endocrine, and behavioral responses to stress, and is strongly related to elevated risk of adult psychopathology. While prior experience of adversity is associated with altered sympathetic nervous system (SNS)...

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Frost CP, Meyerand ME, Birn RM, et al. Childhood Emotional Abuse Moderates Associations Among Corticomotor White Matter Structure and Stress Neuromodulators in Women With and Without Depression. Front Neurosci. 2018;12:256doi: 10.3389/fnins.2018.00256.
Frost, C. P., Meyerand, M. E., Birn, R. M., Hoks, R. M., Walsh, E. C., & Abercrombie, H. C. (2018). Childhood Emotional Abuse Moderates Associations Among Corticomotor White Matter Structure and Stress Neuromodulators in Women With and Without Depression. Frontiers in neuroscience, 12256. https://doi.org/10.3389/fnins.2018.00256
Frost, Carlton P, et al. "Childhood Emotional Abuse Moderates Associations Among Corticomotor White Matter Structure and Stress Neuromodulators in Women With and Without Depression." Frontiers in neuroscience vol. 12 (2018): 256. doi: https://doi.org/10.3389/fnins.2018.00256
Frost CP, Meyerand ME, Birn RM, Hoks RM, Walsh EC, Abercrombie HC. Childhood Emotional Abuse Moderates Associations Among Corticomotor White Matter Structure and Stress Neuromodulators in Women With and Without Depression. Front Neurosci. 2018 Apr 23;12:256. doi: 10.3389/fnins.2018.00256. eCollection 2018. PMID: 29740273; PMCID: PMC5925965.
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Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices.

Frontiers in human neuroscience

Meier TB, Wildenberg JC, Liu J, Chen J, Calhoun VD, Biswal BB, Meyerand ME, Birn RM, Prabhakaran V.
PMID: 23087635
Front Hum Neurosci. 2012 Oct 11;6:281. doi: 10.3389/fnhum.2012.00281. eCollection 2012.

Parallel Independent Component Analysis (para-ICA) is a multivariate method that can identify complex relationships between different data modalities by simultaneously performing Independent Component Analysis on each data set while finding mutual information between the two data sets. We use...

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Meier TB, Wildenberg JC, Liu J, et al. Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices. Front Hum Neurosci. 2012;6:281doi: 10.3389/fnhum.2012.00281.
Meier, T. B., Wildenberg, J. C., Liu, J., Chen, J., Calhoun, V. D., Biswal, B. B., Meyerand, M. E., Birn, R. M., & Prabhakaran, V. (2012). Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices. Frontiers in human neuroscience, 6281. https://doi.org/10.3389/fnhum.2012.00281
Meier, Timothy B, et al. "Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices." Frontiers in human neuroscience vol. 6 (2012): 281. doi: https://doi.org/10.3389/fnhum.2012.00281
Meier TB, Wildenberg JC, Liu J, Chen J, Calhoun VD, Biswal BB, Meyerand ME, Birn RM, Prabhakaran V. Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices. Front Hum Neurosci. 2012 Oct 11;6:281. doi: 10.3389/fnhum.2012.00281. eCollection 2012. PMID: 23087635; PMCID: PMC3468957.
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Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients.

Interdisciplinary neurosurgery : Advanced techniques and case management

Riley SP, Chu DY, Nair VA, Baskaya MK, Kuo JS, Meyerand ME, Prabhakaran V.
PMID: 34950570
Interdiscip Neurosurg. 2022 Mar;27. doi: 10.1016/j.inat.2021.101391. Epub 2021 Sep 29.

Functional resonance magnetic imaging (fMRI) allows for identification of eloquent cortex in pre-treatment planning. Previous studies have shown a correlation among lesion to activation distance (LAD) measures and morbidity and mortality. This study investigates the relationship between LAD, well-established...

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Riley SP, Chu DY, Nair VA, et al. Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdiscip Neurosurg. 2021;27doi: 10.1016/j.inat.2021.101391.
Riley, S. P., Chu, D. Y., Nair, V. A., Baskaya, M. K., Kuo, J. S., Meyerand, M. E., & Prabhakaran, V. (2022). Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdisciplinary neurosurgery : Advanced techniques and case management, 27. https://doi.org/10.1016/j.inat.2021.101391
Riley, Sean P, et al. "Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients." Interdisciplinary neurosurgery : Advanced techniques and case management vol. 27 (2022). doi: https://doi.org/10.1016/j.inat.2021.101391
Riley SP, Chu DY, Nair VA, Baskaya MK, Kuo JS, Meyerand ME, Prabhakaran V. Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdiscip Neurosurg. 2022 Mar;27. doi: 10.1016/j.inat.2021.101391. Epub 2021 Sep 29. PMID: 34950570; PMCID: PMC8691738.
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Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients.

Interdisciplinary neurosurgery : Advanced techniques and case management

Riley SP, Chu DY, Nair VA, Baskaya MK, Kuo JS, Meyerand ME, Prabhakaran V.
PMID: 34950570
Interdiscip Neurosurg. 2022 Mar;27. doi: 10.1016/j.inat.2021.101391. Epub 2021 Sep 29.

Functional resonance magnetic imaging (fMRI) allows for identification of eloquent cortex in pre-treatment planning. Previous studies have shown a correlation among lesion to activation distance (LAD) measures and morbidity and mortality. This study investigates the relationship between LAD, well-established...

Cite
Riley SP, Chu DY, Nair VA, et al. Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdiscip Neurosurg. 2021;27doi: 10.1016/j.inat.2021.101391.
Riley, S. P., Chu, D. Y., Nair, V. A., Baskaya, M. K., Kuo, J. S., Meyerand, M. E., & Prabhakaran, V. (2022). Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdisciplinary neurosurgery : Advanced techniques and case management, 27. https://doi.org/10.1016/j.inat.2021.101391
Riley, Sean P, et al. "Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients." Interdisciplinary neurosurgery : Advanced techniques and case management vol. 27 (2022). doi: https://doi.org/10.1016/j.inat.2021.101391
Riley SP, Chu DY, Nair VA, Baskaya MK, Kuo JS, Meyerand ME, Prabhakaran V. Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdiscip Neurosurg. 2022 Mar;27. doi: 10.1016/j.inat.2021.101391. Epub 2021 Sep 29. PMID: 34950570; PMCID: PMC8691738.
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Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients.

Interdisciplinary neurosurgery : Advanced techniques and case management

Riley SP, Chu DY, Nair VA, Baskaya MK, Kuo JS, Meyerand ME, Prabhakaran V.
PMID: 34950570
Interdiscip Neurosurg. 2022 Mar;27. doi: 10.1016/j.inat.2021.101391. Epub 2021 Sep 29.

Functional resonance magnetic imaging (fMRI) allows for identification of eloquent cortex in pre-treatment planning. Previous studies have shown a correlation among lesion to activation distance (LAD) measures and morbidity and mortality. This study investigates the relationship between LAD, well-established...

Cite
Riley SP, Chu DY, Nair VA, et al. Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdiscip Neurosurg. 2021;27doi: 10.1016/j.inat.2021.101391.
Riley, S. P., Chu, D. Y., Nair, V. A., Baskaya, M. K., Kuo, J. S., Meyerand, M. E., & Prabhakaran, V. (2022). Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdisciplinary neurosurgery : Advanced techniques and case management, 27. https://doi.org/10.1016/j.inat.2021.101391
Riley, Sean P, et al. "Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients." Interdisciplinary neurosurgery : Advanced techniques and case management vol. 27 (2022). doi: https://doi.org/10.1016/j.inat.2021.101391
Riley SP, Chu DY, Nair VA, Baskaya MK, Kuo JS, Meyerand ME, Prabhakaran V. Characterizing the relationship between lesion-activation distance using fMRI and verbal measures in brain tumor patients. Interdiscip Neurosurg. 2022 Mar;27. doi: 10.1016/j.inat.2021.101391. Epub 2021 Sep 29. PMID: 34950570; PMCID: PMC8691738.
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Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures.

Interdisciplinary neurosurgery : Advanced techniques and case management

Vergun S, Suhonen JI, Nair VA, Kuo JS, Baskaya MK, Garcia-Ramos C, Meyerand EE, Prabhakaran V.
PMID: 34984173
Interdiscip Neurosurg. 2018 Sep;13:109-118. doi: 10.1016/j.inat.2018.04.013. Epub 2018 Apr 25.

BACKGROUND: Advanced neuroimaging measures along with clinical variables acquired during standard imaging protocols provide a rich source of information for brain tumor patient treatment and management. Machine learning analysis has had much recent success in neuroimaging applications for normal...

Cite
Vergun S, Suhonen JI, Nair VA, et al. Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures. Interdiscip Neurosurg. 2018;13:109-118doi: 10.1016/j.inat.2018.04.013.
Vergun, S., Suhonen, J. I., Nair, V. A., Kuo, J. S., Baskaya, M. K., Garcia-Ramos, C., Meyerand, E. E., & Prabhakaran, V. (2018). Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures. Interdisciplinary neurosurgery : Advanced techniques and case management, 13109-118. https://doi.org/10.1016/j.inat.2018.04.013
Vergun, Svyat, et al. "Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures." Interdisciplinary neurosurgery : Advanced techniques and case management vol. 13 (2018): 109-118. doi: https://doi.org/10.1016/j.inat.2018.04.013
Vergun S, Suhonen JI, Nair VA, Kuo JS, Baskaya MK, Garcia-Ramos C, Meyerand EE, Prabhakaran V. Predicting primary outcomes of brain tumor patients with advanced neuroimaging MRI measures. Interdiscip Neurosurg. 2018 Sep;13:109-118. doi: 10.1016/j.inat.2018.04.013. Epub 2018 Apr 25. PMID: 34984173; PMCID: PMC8722581.
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Comparison of Language and Memory Lateralization by Functional MRI and Wada Test in Epilepsy.

Frontiers in neurology and neuroscience research

Htet NN, Pizarro R, Nair VA, Chu DY, Meier T, Tunnell E, Rutecki P, Hermann B, Meyerand EM, Prabhakaran V.
PMID: 34189523
Front Neurol Neurosci Res. 2021;2. Epub 2021 Apr 16.

The intracarotid sodium amobarbital procedure (ISAP or Wada test) lateralizes cerebral functions to the cerebral hemispheres preoperatively. Functional magnetic resonance imaging (fMRI) is increasingly used to characterize preoperative language and memory lateralization. In this study, concordance of fMRI with...

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Htet NN, Pizarro R, Nair VA, et al. Comparison of Language and Memory Lateralization by Functional MRI and Wada Test in Epilepsy. Front Neurol Neurosci Res. 2021;2
Htet, N. N., Pizarro, R., Nair, V. A., Chu, D. Y., Meier, T., Tunnell, E., Rutecki, P., Hermann, B., Meyerand, E. M., & Prabhakaran, V. (2021). Comparison of Language and Memory Lateralization by Functional MRI and Wada Test in Epilepsy. Frontiers in neurology and neuroscience research, 2.
Htet, Natalie N, et al. "Comparison of Language and Memory Lateralization by Functional MRI and Wada Test in Epilepsy." Frontiers in neurology and neuroscience research vol. 2 (2021).
Htet NN, Pizarro R, Nair VA, Chu DY, Meier T, Tunnell E, Rutecki P, Hermann B, Meyerand EM, Prabhakaran V. Comparison of Language and Memory Lateralization by Functional MRI and Wada Test in Epilepsy. Front Neurol Neurosci Res. 2021;2. Epub 2021 Apr 16. PMID: 34189523; PMCID: PMC8238456.
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The Effects of Computational Method, Data Modeling, and TR on Effective Connectivity Results.

Brain imaging and behavior

Witt ST, Meyerand ME.
PMID: 19714255
Brain Imaging Behav. 2009 Jun;3(2):220-231. doi: 10.1007/s11682-009-9064-5.

As the use of effective connectivity as become more popular, it is important to understand how the results from different analyses compare with each other, as the results from studies employing differing methods for determining connectivity may not reach...

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Witt ST, Meyerand ME. The Effects of Computational Method, Data Modeling, and TR on Effective Connectivity Results. Brain Imaging Behav. 2009;3(2):220-231doi: 10.1007/s11682-009-9064-5.
Witt, S. T., & Meyerand, M. E. (2009). The Effects of Computational Method, Data Modeling, and TR on Effective Connectivity Results. Brain imaging and behavior, 3(2), 220-231. https://doi.org/10.1007/s11682-009-9064-5
Witt, Suzanne T, and Meyerand, M Elizabeth. "The Effects of Computational Method, Data Modeling, and TR on Effective Connectivity Results." Brain imaging and behavior vol. 3,2 (2009): 220-231. doi: https://doi.org/10.1007/s11682-009-9064-5
Witt ST, Meyerand ME. The Effects of Computational Method, Data Modeling, and TR on Effective Connectivity Results. Brain Imaging Behav. 2009 Jun;3(2):220-231. doi: 10.1007/s11682-009-9064-5. PMID: 19714255; PMCID: PMC2731943.
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Comparison of milk oligosaccharides between goats with and without the genetic ability to synthesize α.

Small ruminant research : the journal of the International Goat Association

Meyrand M, Dallas DC, Caillat H, Bouvier F, Martin P, Barile D.
PMID: 24587592
Small Rumin Res. 2013 Jul 01;113(2):411-420. doi: 10.1016/j.smallrumres.2013.03.014.

Milk oligosaccharides (OS)-free complex carbohydrates-confer unique health benefits to the nursing neonate. Though human digestive enzymes cannot degrade these sugars, they provide nourishment to specific commensal microbes and act as decoys to prevent the adhesion of pathogenic micro-organisms to...

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Meyrand M, Dallas DC, Caillat H, et al. Comparison of milk oligosaccharides between goats with and without the genetic ability to synthesize α. Small Rumin Res. 2013;113(2):411-420doi: 10.1016/j.smallrumres.2013.03.014.
Meyrand, M., Dallas, D. C., Caillat, H., Bouvier, F., Martin, P., & Barile, D. (2013). Comparison of milk oligosaccharides between goats with and without the genetic ability to synthesize α. Small ruminant research : the journal of the International Goat Association, 113(2), 411-420. https://doi.org/10.1016/j.smallrumres.2013.03.014
Meyrand, M, et al. "Comparison of milk oligosaccharides between goats with and without the genetic ability to synthesize α." Small ruminant research : the journal of the International Goat Association vol. 113,2 (2013): 411-420. doi: https://doi.org/10.1016/j.smallrumres.2013.03.014
Meyrand M, Dallas DC, Caillat H, Bouvier F, Martin P, Barile D. Comparison of milk oligosaccharides between goats with and without the genetic ability to synthesize α. Small Rumin Res. 2013 Jul 01;113(2):411-420. doi: 10.1016/j.smallrumres.2013.03.014. PMID: 24587592; PMCID: PMC3935728.
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