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ICA model order selection of task co-activation networks.

Frontiers in neuroscience

Ray KL, McKay DR, Fox PM, Riedel MC, Uecker AM, Beckmann CF, Smith SM, Fox PT, Laird AR.
PMID: 24339802
Front Neurosci. 2013 Dec 10;7:237. doi: 10.3389/fnins.2013.00237. eCollection 2013.

Independent component analysis (ICA) has become a widely used method for extracting functional networks in the brain during rest and task. Historically, preferred ICA dimensionality has widely varied within the neuroimaging community, but typically varies between 20 and 100...

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Ray KL, McKay DR, Fox PM, et al. ICA model order selection of task co-activation networks. Front Neurosci. 2013;7:237doi: 10.3389/fnins.2013.00237.
Ray, K. L., McKay, D. R., Fox, P. M., Riedel, M. C., Uecker, A. M., Beckmann, C. F., Smith, S. M., Fox, P. T., & Laird, A. R. (2013). ICA model order selection of task co-activation networks. Frontiers in neuroscience, 7237. https://doi.org/10.3389/fnins.2013.00237
Ray, Kimberly L, et al. "ICA model order selection of task co-activation networks." Frontiers in neuroscience vol. 7 (2013): 237. doi: https://doi.org/10.3389/fnins.2013.00237
Ray KL, McKay DR, Fox PM, Riedel MC, Uecker AM, Beckmann CF, Smith SM, Fox PT, Laird AR. ICA model order selection of task co-activation networks. Front Neurosci. 2013 Dec 10;7:237. doi: 10.3389/fnins.2013.00237. eCollection 2013. PMID: 24339802; PMCID: PMC3857551.
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ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas.

Frontiers in neuroinformatics

Laird AR, Eickhoff SB, Kurth F, Fox PM, Uecker AM, Turner JA, Robinson JL, Lancaster JL, Fox PT.
PMID: 19636392
Front Neuroinform. 2009 Jul 09;3:23. doi: 10.3389/neuro.11.023.2009. eCollection 2009.

With the ever-increasing number of studies in human functional brain mapping, an abundance of data has been generated that is ready to be synthesized and modeled on a large scale. The BrainMap database archives peak coordinates from published neuroimaging...

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Laird AR, Eickhoff SB, Kurth F, et al. ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas. Front Neuroinform. 2009;3:23doi: 10.3389/neuro.11.023.2009.
Laird, A. R., Eickhoff, S. B., Kurth, F., Fox, P. M., Uecker, A. M., Turner, J. A., Robinson, J. L., Lancaster, J. L., & Fox, P. T. (2009). ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas. Frontiers in neuroinformatics, 323. https://doi.org/10.3389/neuro.11.023.2009
Laird, Angela R, et al. "ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas." Frontiers in neuroinformatics vol. 3 (2009): 23. doi: https://doi.org/10.3389/neuro.11.023.2009
Laird AR, Eickhoff SB, Kurth F, Fox PM, Uecker AM, Turner JA, Robinson JL, Lancaster JL, Fox PT. ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas. Front Neuroinform. 2009 Jul 09;3:23. doi: 10.3389/neuro.11.023.2009. eCollection 2009. PMID: 19636392; PMCID: PMC2715269.
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Modeling biomedical experimental processes with OBI.

Journal of biomedical semantics

Brinkman RR, Courtot M, Derom D, Fostel JM, He Y, Lord P, Malone J, Parkinson H, Peters B, Rocca-Serra P, Ruttenberg A, Sansone SA, Soldatova LN, Stoeckert CJ, Turner JA, Zheng J.
PMID: 20626927
J Biomed Semantics. 2010 Jun 22;1:S7. doi: 10.1186/2041-1480-1-S1-S7.

BACKGROUND: Experimental descriptions are typically stored as free text without using standardized terminology, creating challenges in comparison, reproduction and analysis. These difficulties impose limitations on data exchange and information retrieval.RESULTS: The Ontology for Biomedical Investigations (OBI), developed as a...

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Brinkman RR, Courtot M, Derom D, et al. Modeling biomedical experimental processes with OBI. J Biomed Semantics. 2010;1:S7doi: 10.1186/2041-1480-1-S1-S7.
Brinkman, R. R., Courtot, M., Derom, D., Fostel, J. M., He, Y., Lord, P., Malone, J., Parkinson, H., Peters, B., Rocca-Serra, P., Ruttenberg, A., Sansone, S. A., Soldatova, L. N., Stoeckert, C. J., Turner, J. A., Zheng, J. (2010). Modeling biomedical experimental processes with OBI. Journal of biomedical semantics, 1S7. https://doi.org/10.1186/2041-1480-1-S1-S7
Brinkman, Ryan R, et al. "Modeling biomedical experimental processes with OBI." Journal of biomedical semantics vol. 1 (2010): S7. doi: https://doi.org/10.1186/2041-1480-1-S1-S7
Brinkman RR, Courtot M, Derom D, Fostel JM, He Y, Lord P, Malone J, Parkinson H, Peters B, Rocca-Serra P, Ruttenberg A, Sansone SA, Soldatova LN, Stoeckert CJ, Turner JA, Zheng J. Modeling biomedical experimental processes with OBI. J Biomed Semantics. 2010 Jun 22;1:S7. doi: 10.1186/2041-1480-1-S1-S7. PMID: 20626927; PMCID: PMC2903726.
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The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data.

BMC research notes

Laird AR, Eickhoff SB, Fox PM, Uecker AM, Ray KL, Saenz JJ, McKay DR, Bzdok D, Laird RW, Robinson JL, Turner JA, Turkeltaub PE, Lancaster JL, Fox PT.
PMID: 21906305
BMC Res Notes. 2011 Sep 09;4:349. doi: 10.1186/1756-0500-4-349.

BACKGROUND: Neuroimaging researchers have developed rigorous community data and metadata standards that encourage meta-analysis as a method for establishing robust and meaningful convergence of knowledge of human brain structure and function. Capitalizing on these standards, the BrainMap project offers...

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Laird AR, Eickhoff SB, Fox PM, et al. The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data. BMC Res Notes. 2011;4:349doi: 10.1186/1756-0500-4-349.
Laird, A. R., Eickhoff, S. B., Fox, P. M., Uecker, A. M., Ray, K. L., Saenz, J. J., McKay, D. R., Bzdok, D., Laird, R. W., Robinson, J. L., Turner, J. A., Turkeltaub, P. E., Lancaster, J. L., & Fox, P. T. (2011). The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data. BMC research notes, 4349. https://doi.org/10.1186/1756-0500-4-349
Laird, Angela R, et al. "The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data." BMC research notes vol. 4 (2011): 349. doi: https://doi.org/10.1186/1756-0500-4-349
Laird AR, Eickhoff SB, Fox PM, Uecker AM, Ray KL, Saenz JJ, McKay DR, Bzdok D, Laird RW, Robinson JL, Turner JA, Turkeltaub PE, Lancaster JL, Fox PT. The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data. BMC Res Notes. 2011 Sep 09;4:349. doi: 10.1186/1756-0500-4-349. PMID: 21906305; PMCID: PMC3180707.
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HIV infection is linked with reduced error-related default mode network suppression and poorer medication management abilities.

Progress in neuro-psychopharmacology & biological psychiatry

Flannery JS, Riedel MC, Salo T, Poudel R, Laird AR, Gonzalez R, Sutherland MT.
PMID: 34224796
Prog Neuropsychopharmacol Biol Psychiatry. 2021 Dec 20;111:110398. doi: 10.1016/j.pnpbp.2021.110398. Epub 2021 Jul 03.

OBJECTIVE: Brain activity linked with error processing has rarely been examined among persons living with HIV (PLWH) despite importance for monitoring and modifying behaviors that could lead to adverse health outcomes (e.g., medication non-adherence, drug use, risky sexual practices)....

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Flannery JS, Riedel MC, Salo T, et al. HIV infection is linked with reduced error-related default mode network suppression and poorer medication management abilities. Prog Neuropsychopharmacol Biol Psychiatry. 2021;111:110398doi: 10.1016/j.pnpbp.2021.110398.
Flannery, J. S., Riedel, M. C., Salo, T., Poudel, R., Laird, A. R., Gonzalez, R., & Sutherland, M. T. (2021). HIV infection is linked with reduced error-related default mode network suppression and poorer medication management abilities. Progress in neuro-psychopharmacology & biological psychiatry, 111110398. https://doi.org/10.1016/j.pnpbp.2021.110398
Flannery, Jessica S, et al. "HIV infection is linked with reduced error-related default mode network suppression and poorer medication management abilities." Progress in neuro-psychopharmacology & biological psychiatry vol. 111 (2021): 110398. doi: https://doi.org/10.1016/j.pnpbp.2021.110398
Flannery JS, Riedel MC, Salo T, Poudel R, Laird AR, Gonzalez R, Sutherland MT. HIV infection is linked with reduced error-related default mode network suppression and poorer medication management abilities. Prog Neuropsychopharmacol Biol Psychiatry. 2021 Dec 20;111:110398. doi: 10.1016/j.pnpbp.2021.110398. Epub 2021 Jul 03. PMID: 34224796; PMCID: PMC8380727.
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Functional activation and effective connectivity differences in adolescent marijuana users performing a simulated gambling task.

Journal of addiction

Acheson A, Ray KL, Hines CS, Li K, Dawes MA, Mathias CW, Dougherty DM, Laird AR.
PMID: 25692068
J Addict. 2015;2015:783106. doi: 10.1155/2015/783106. Epub 2015 Jan 26.

Background. Adolescent marijuana use is associated with structural and functional differences in forebrain regions while performing memory and attention tasks. In the present study, we investigated neural processing in adolescent marijuana users experiencing rewards and losses. Fourteen adolescents with...

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Acheson A, Ray KL, Hines CS, et al. Functional activation and effective connectivity differences in adolescent marijuana users performing a simulated gambling task. J Addict. 2015;2015:783106doi: 10.1155/2015/783106.
Acheson, A., Ray, K. L., Hines, C. S., Li, K., Dawes, M. A., Mathias, C. W., Dougherty, D. M., & Laird, A. R. (2015). Functional activation and effective connectivity differences in adolescent marijuana users performing a simulated gambling task. Journal of addiction, 2015783106. https://doi.org/10.1155/2015/783106
Acheson, Ashley, et al. "Functional activation and effective connectivity differences in adolescent marijuana users performing a simulated gambling task." Journal of addiction vol. 2015 (2015): 783106. doi: https://doi.org/10.1155/2015/783106
Acheson A, Ray KL, Hines CS, Li K, Dawes MA, Mathias CW, Dougherty DM, Laird AR. Functional activation and effective connectivity differences in adolescent marijuana users performing a simulated gambling task. J Addict. 2015;2015:783106. doi: 10.1155/2015/783106. Epub 2015 Jan 26. PMID: 25692068; PMCID: PMC4321681.
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Interdisciplinary perspectives on the development, integration, and application of cognitive ontologies.

Frontiers in neuroinformatics

Hastings J, Frishkoff GA, Smith B, Jensen M, Poldrack RA, Lomax J, Bandrowski A, Imam F, Turner JA, Martone ME.
PMID: 24999329
Front Neuroinform. 2014 Jun 20;8:62. doi: 10.3389/fninf.2014.00062. eCollection 2014.

We discuss recent progress in the development of cognitive ontologies and summarize three challenges in the coordinated development and application of these resources. Challenge 1 is to adopt a standardized definition for cognitive processes. We describe three possibilities and...

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Hastings J, Frishkoff GA, Smith B, et al. Interdisciplinary perspectives on the development, integration, and application of cognitive ontologies. Front Neuroinform. 2014;8:62doi: 10.3389/fninf.2014.00062.
Hastings, J., Frishkoff, G. A., Smith, B., Jensen, M., Poldrack, R. A., Lomax, J., Bandrowski, A., Imam, F., Turner, J. A., & Martone, M. E. (2014). Interdisciplinary perspectives on the development, integration, and application of cognitive ontologies. Frontiers in neuroinformatics, 862. https://doi.org/10.3389/fninf.2014.00062
Hastings, Janna, et al. "Interdisciplinary perspectives on the development, integration, and application of cognitive ontologies." Frontiers in neuroinformatics vol. 8 (2014): 62. doi: https://doi.org/10.3389/fninf.2014.00062
Hastings J, Frishkoff GA, Smith B, Jensen M, Poldrack RA, Lomax J, Bandrowski A, Imam F, Turner JA, Martone ME. Interdisciplinary perspectives on the development, integration, and application of cognitive ontologies. Front Neuroinform. 2014 Jun 20;8:62. doi: 10.3389/fninf.2014.00062. eCollection 2014. PMID: 24999329; PMCID: PMC4064452.
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Automated annotation of functional imaging experiments via multi-label classification.

Frontiers in neuroscience

Turner MD, Chakrabarti C, Jones TB, Xu JF, Fox PT, Luger GF, Laird AR, Turner JA.
PMID: 24409112
Front Neurosci. 2013 Dec 16;7:240. doi: 10.3389/fnins.2013.00240. eCollection 2013.

Identifying the experimental methods in human neuroimaging papers is important for grouping meaningfully similar experiments for meta-analyses. Currently, this can only be done by human readers. We present the performance of common machine learning (text mining) methods applied to...

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Turner MD, Chakrabarti C, Jones TB, et al. Automated annotation of functional imaging experiments via multi-label classification. Front Neurosci. 2013;7:240doi: 10.3389/fnins.2013.00240.
Turner, M. D., Chakrabarti, C., Jones, T. B., Xu, J. F., Fox, P. T., Luger, G. F., Laird, A. R., & Turner, J. A. (2013). Automated annotation of functional imaging experiments via multi-label classification. Frontiers in neuroscience, 7240. https://doi.org/10.3389/fnins.2013.00240
Turner, Matthew D, et al. "Automated annotation of functional imaging experiments via multi-label classification." Frontiers in neuroscience vol. 7 (2013): 240. doi: https://doi.org/10.3389/fnins.2013.00240
Turner MD, Chakrabarti C, Jones TB, Xu JF, Fox PT, Luger GF, Laird AR, Turner JA. Automated annotation of functional imaging experiments via multi-label classification. Front Neurosci. 2013 Dec 16;7:240. doi: 10.3389/fnins.2013.00240. eCollection 2013. PMID: 24409112; PMCID: PMC3864256.
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Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV).

NeuroImage

Burns GA, Turner JA.
PMID: 23684873
Neuroimage. 2013 Nov 15;82:662-70. doi: 10.1016/j.neuroimage.2013.05.024. Epub 2013 May 16.

Neuroimaging data is raw material for cognitive neuroscience experiments, leading to scientific knowledge about human neurological and psychological disease, language, perception, attention and ultimately, cognition. The structure of the variables used in the experimental design defines the structure of...

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Burns GA, Turner JA. Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV). Neuroimage. 2013;82:662-70doi: 10.1016/j.neuroimage.2013.05.024.
Burns, G. A., & Turner, J. A. (2013). Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV). NeuroImage, 82662-70. https://doi.org/10.1016/j.neuroimage.2013.05.024
Burns, Gully A P C, and Turner, Jessica A. "Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV)." NeuroImage vol. 82 (2013): 662-70. doi: https://doi.org/10.1016/j.neuroimage.2013.05.024
Burns GA, Turner JA. Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV). Neuroimage. 2013 Nov 15;82:662-70. doi: 10.1016/j.neuroimage.2013.05.024. Epub 2013 May 16. PMID: 23684873; PMCID: PMC4474486.
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Showing 1 to 9 of 9 entries