@article {797, title = {Biomarkers of vascular calcification and mortality in patients with ESRD.}, journal = {Clin J Am Soc Nephrol}, volume = {9}, year = {2014}, month = {2014 Apr}, pages = {745-55}, abstract = {

BACKGROUND: Vascular calcification is common among patients undergoing dialysis and is associated with mortality. Factors such as osteoprotegerin (OPG), osteopontin (OPN), bone morphogenic protein-7 (BMP-7), and fetuin-A are involved in vascular calcification.

DESIGN, SETTING, PARTICIPANTS, \& MEASUREMENTS: OPG, OPN, BMP-7, and fetuin-A were measured in blood samples from 602 incident dialysis patients recruited from United States dialysis centers between 1995 and 1998 as part of the Choices for Healthy Outcomes In Caring for ESRD Study. Their association with all-cause and cardiovascular mortality were assessed using Cox proportional hazards models adjusted for demographic characteristics, comorbidity, serum phosphate, and calcium. An interaction with diabetes was tested because of its known association with vascular calcification. Predictive accuracy of selected biomarkers was explored by C-statistics in nested models with training and validation subcohorts.

RESULTS: Higher OPG and lower fetuin-A levels were associated with higher mortality over up to 13 years of follow-up (median, 3.4 years). The adjusted hazard ratios (HR) for highest versus lowest tertile were 1.49 (95\% confidence interval [95\% CI], 1.08 to 2.06) for OPG and 0.69 (95\% CI, 0.52 to 0.92) for fetuin-A. In stratified models, the highest tertile of OPG was associated with higher mortality among patients without diabetes (HR, 2.42; 95\% CI, 1.35 to 4.34), but not patients with diabetes (HR, 1.26; 95\% CI, 0.82 to 1.93; P for interaction=0.001). In terms of cardiovascular mortality, higher fetuin-A was associated with lower risk (HR, 0.85 per 0.1 g/L: 95\% CI, 0.75 to 0.96). In patients without diabetes, higher OPG was associated with greater risk (HR for highest versus lowest tertile, 2.91; 95\% CI, 1.06 to 7.99), but not in patients with diabetes or overall. OPN and BMP-7 were not independently associated with outcomes overall. The addition of OPG and fetuin-A did not significantly improve predictive accuracy of mortality.

CONCLUSIONS: OPG and fetuin-A may be risk factors for all-cause and cardiovascular mortality in patients undergoing dialysis, but do not improve risk prediction.

}, issn = {1555-905X}, doi = {10.2215/CJN.05450513}, author = {Scialla, Julia J and Kao, W H Linda and Crainiceanu, Ciprian and Sozio, Stephen M and Oberai, Pooja C and Shafi, Tariq and Coresh, Josef and Powe, Neil R and Plantinga, Laura C and Jaar, Bernard G and Parekh, Rulan S} } @article {817, title = {The neural correlates of learned motor acuity.}, journal = {J Neurophysiol}, volume = {112}, year = {2014}, month = {2014 Aug 15}, pages = {971-80}, abstract = {

We recently defined a component of motor skill learning as "motor acuity," quantified as a shift in the speed-accuracy trade-off function for a task. These shifts are primarily driven by reductions in movement variability. To determine the neural correlates of improvement in motor acuity, we devised a motor task compatible with magnetic resonance brain imaging that required subjects to make finely controlled wrist movements under visual guidance. Subjects were imaged on day 1 and day 5 while they performed this task and were trained outside the scanner on intervening days 2, 3, and 4. The potential confound of performance changes between days 1 and 5 was avoided by constraining movement time to a fixed duration. After training, subjects showed a marked increase in success rate and a reduction in trial-by-trial variability for the trained task but not for an untrained control task, without changes in mean trajectory. The decrease in variability for the trained task was associated with increased activation in contralateral primary motor and premotor cortical areas and in ipsilateral cerebellum. A global nonlocalizing multivariate analysis confirmed that learning was associated with increased overall brain activation. We suggest that motor acuity is acquired through increases in the number of neurons recruited in contralateral motor cortical areas and in ipsilateral cerebellum, which could reflect increased signal-to-noise ratio in motor output and improved state estimation for feedback corrections, respectively.

}, issn = {1522-1598}, doi = {10.1152/jn.00897.2013}, author = {Shmuelof, Lior and Yang, Juemin and Caffo, Brian and Mazzoni, Pietro and Krakauer, John W} } @article {815, title = {Neuroinflammation and brain atrophy in former NFL players: An in vivo multimodal imaging pilot study.}, journal = {Neurobiol Dis}, volume = {74C}, year = {2014}, month = {2014 Nov 7}, pages = {58-65}, abstract = {

There are growing concerns about potential delayed, neuropsychiatric consequences (e.g, cognitive decline, mood or anxiety disorders) of sports-related traumatic brain injury (TBI). Autopsy studies of brains from a limited number of former athletes have described characteristic, pathologic changes of chronic traumatic encephalopathy (CTE) leading to questions about the relationship between these pathologic and the neuropsychiatric disturbances seen in former athletes. Research in this area will depend on in vivo methods that characterize molecular changes in the brain, linking CTE and other sports-related pathologies with delayed emergence of neuropsychiatric symptoms. In this pilot project we studied former National Football League (NFL) players using new neuroimaging techniques and clinical measures of cognitive functioning. We hypothesized that former NFL players would show molecular and structural changes in medial temporal and parietal lobe structures as well as specific cognitive deficits, namely those of verbal learning and memory. We observed a significant increase in binding of [(11)C]DPA-713 to the translocator protein (TSPO), a marker of brain injury and repair, in several brain regions, such as the supramarginal gyrus and right amygdala, in 9 former NFL players compared to 9 age-matched, healthy controls. We also observed significant atrophy of the right hippocampus. Finally, we report that these same former players had varied performance on a test of verbal learning and memory, suggesting that these molecular and pathologic changes may play a role in cognitive decline. These results suggest that localized brain injury and repair, indicated by increased [(11)C]DPA-713 binding to TSPO, may be linked to history of NFL play. [(11)C]DPA-713 PET is a promising new tool that can be used in future study design to examine further the relationship between TSPO expression in brain injury and repair, selective regional brain atrophy, and the potential link to deficits in verbal learning and memory after NFL play.

}, issn = {1095-953X}, doi = {10.1016/j.nbd.2014.10.019}, author = {Coughlin, Jennifer M and Wang, Yuchuan and Munro, Cynthia A and Ma, Shuangchao and Yue, Chen and Chen, Shaojie and Airan, Raag and Kim, Pearl K and Adams, Ashley V and Garcia, Cinthya and Higgs, Cecilia and Sair, Haris I and Sawa, Akira and Smith, Gwenn and Lyketsos, Constantine G and Caffo, Brian and Kassiou, Michael and Guilarte, Tomas R and Pomper, Martin G} } @article {791, title = {Predicting human movement with multiple accelerometers using movelets.}, journal = {Med Sci Sports Exerc}, volume = {46}, year = {2014}, month = {2014 Sep}, pages = {1859-66}, abstract = {

PURPOSE: The study aims were 1) to develop transparent algorithms that use short segments of training data for predicting activity types and 2) to compare the prediction performance of the proposed algorithms using single accelerometers and multiple accelerometers.

METHODS: Sixteen participants (age, 80.6 yr (4.8 yr); body mass index, 26.1 kg{\textperiodcentered}m (2.5 kg{\textperiodcentered}m)) performed 15 lifestyle activities in the laboratory, each wearing three accelerometers at the right hip and left and right wrists. Triaxial accelerometry data were collected at 80 Hz using ActiGraph GT3X+. Prediction algorithms were developed, which, instead of extracting features, build activity-specific dictionaries composed of short signal segments called movelets. Three alternative approaches were proposed to integrate the information from the multiple accelerometers.

RESULTS: With at most several seconds of training data per activity, the prediction accuracy at the second-level temporal resolution was very high for lying, standing, normal/fast walking, and standing up from a chair (the median prediction accuracy ranged from 88.2\% to 99.9\% on the basis of the single-accelerometer movelet approach). For these activities, wrist-worn accelerometers performed almost as well as hip-worn accelerometers (the median difference in accuracy between wrist and hip ranged from -2.7\% to 5.8\%). Modest improvements in prediction accuracy were achieved by integrating information from multiple accelerometers.

DISCUSSION AND CONCLUSIONS: It is possible to achieve high prediction accuracy at the second-level temporal resolution with very limited training data. To increase prediction accuracy from the simultaneous use of multiple accelerometers, a careful selection of integrative approaches is required.

}, issn = {1530-0315}, doi = {10.1249/MSS.0000000000000285}, author = {He, Bing and Bai, Jiawei and Zipunnikov, Vadim V and Koster, Annemarie and Caserotti, Paolo and Lange-Maia, Brittney and Glynn, Nancy W and Harris, Tamara B and Crainiceanu, Ciprian M} } @article {834, title = {Separate neural representations for physical pain and social rejection.}, journal = {Nat Commun}, volume = {5}, year = {2014}, month = {2014}, pages = {5380}, abstract = {

Current theories suggest that physical pain and social rejection share common neural mechanisms, largely by virtue of overlapping functional magnetic resonance imaging (fMRI) activity. Here we challenge this notion by identifying distinct multivariate fMRI patterns unique to pain and rejection. Sixty participants experience painful heat and warmth and view photos of ex-partners and friends on separate trials. FMRI pattern classifiers discriminate pain and rejection from their respective control conditions in out-of-sample individuals with 92\% and 80\% accuracy. The rejection classifier performs at chance on pain, and vice versa. Pain- and rejection-related representations are uncorrelated within regions thought to encode pain affect (for example, dorsal anterior cingulate) and show distinct functional connectivity with other regions in a separate resting-state data set (N=91). These findings demonstrate that separate representations underlie pain and rejection despite common fMRI activity at the gross anatomical level. Rather than co-opting pain circuitry, rejection involves distinct affective representations in humans.

}, issn = {2041-1723}, doi = {10.1038/ncomms6380}, author = {Woo, Choong-Wan and Koban, Leonie and Kross, Ethan and Lindquist, Martin A and Banich, Marie T and Ruzic, Luka and Andrews-Hanna, Jessica R and Wager, Tor D} } @article {839, title = {An fMRI-based neurologic signature of physical pain.}, journal = {N Engl J Med}, volume = {368}, year = {2013}, month = {2013 Apr 11}, pages = {1388-97}, abstract = {

BACKGROUND: Persistent pain is measured by means of self-report, the sole reliance on which hampers diagnosis and treatment. Functional magnetic resonance imaging (fMRI) holds promise for identifying objective measures of pain, but brain measures that are sensitive and specific to physical pain have not yet been identified.

METHODS: In four studies involving a total of 114 participants, we developed an fMRI-based measure that predicts pain intensity at the level of the individual person. In study 1, we used machine-learning analyses to identify a pattern of fMRI activity across brain regions--a neurologic signature--that was associated with heat-induced pain. The pattern included the thalamus, the posterior and anterior insulae, the secondary somatosensory cortex, the anterior cingulate cortex, the periaqueductal gray matter, and other regions. In study 2, we tested the sensitivity and specificity of the signature to pain versus warmth in a new sample. In study 3, we assessed specificity relative to social pain, which activates many of the same brain regions as physical pain. In study 4, we assessed the responsiveness of the measure to the analgesic agent remifentanil.

RESULTS: In study 1, the neurologic signature showed sensitivity and specificity of 94\% or more (95\% confidence interval [CI], 89 to 98) in discriminating painful heat from nonpainful warmth, pain anticipation, and pain recall. In study 2, the signature discriminated between painful heat and nonpainful warmth with 93\% sensitivity and specificity (95\% CI, 84 to 100). In study 3, it discriminated between physical pain and social pain with 85\% sensitivity (95\% CI, 76 to 94) and 73\% specificity (95\% CI, 61 to 84) and with 95\% sensitivity and specificity in a forced-choice test of which of two conditions was more painful. In study 4, the strength of the signature response was substantially reduced when remifentanil was administered.

CONCLUSIONS: It is possible to use fMRI to assess pain elicited by noxious heat in healthy persons. Future studies are needed to assess whether the signature predicts clinical pain. (Funded by the National Institute on Drug Abuse and others.).

}, keywords = {Adult, Analgesics, Opioid, Artificial Intelligence, Brain, brain mapping, Female, Hot Temperature, Humans, Magnetic Resonance Imaging, Male, Pain, Pain Measurement, Piperidines, ROC Curve, Sensitivity and Specificity, Young Adult}, issn = {1533-4406}, doi = {10.1056/NEJMoa1204471}, author = {Wager, Tor D and Atlas, Lauren Y and Lindquist, Martin A and Roy, Mathieu and Woo, Choong-Wan and Kross, Ethan} } @article {nicole, title = {Distribution of cell-free and cell-associated HIV surrogates in the female genital tract following simulated vaginal intercourse}, journal = {Appeared online in the Journal of Infectious Diseases}, year = {2012}, author = {Louissaint, N and Nimmagadda, S and Bakshi, R and Du, Y and Macura, K and King, K and Wahl, R and Goldsmith, J and Caffo, B and Cao, Y and Anderson, J and Fuchs, E and Hendrix, C} } @article {rectalab, title = {Quantification of the spatial distribution of rectally-applied surrogates for microbicide and semen in colon with SPECT imaging}, journal = {Accepted in the British Journal of Clinical Pharmacology}, year = {2012}, author = {Cao, Y and Caffo, B and Fuchs, E and Lee, L and Du, Y and Li, L and Bakshi, R and Khan, W and Wahl, R and Grohskopf, L and Hendrix, C} } @article {ANA:ANA22452, title = {Assessing bioequivalence of generic antiepilepsy drugs}, journal = {Annals of Neurology, NIHMSID: 286919}, volume = {70}, number = {2}, year = {2011}, pages = {221{\textendash}228}, publisher = {Wiley Subscription Services, Inc., A Wiley Company}, issn = {1531-8249}, doi = {10.1002/ana.22452}, url = {http://dx.doi.org/10.1002/ana.22452}, author = {Krauss, G and Caffo, B and Chang, Y and Hendrix, C and Chuang, K} } @article {springerlink:10.1007/s10928-011-9211-7, title = {A Bayesian hierarchical nonlinear mixture model in the presence of artifactual outliers in a population pharmacokinetic study}, journal = {Journal of Pharmacokinetics and Pharmacodynamics}, volume = {38}, year = {2011}, note = {10.1007/s10928-011-9211-7}, pages = {613-636}, publisher = {Springer Netherlands}, issn = {1567-567X}, url = {http://dx.doi.org/10.1007/s10928-011-9211-7}, author = {Choi, L and Caffo, B and Kohli, U and Pandharipande, P and Kurnik, D and Ely, E and Stein, C} } @article {lewis2011differential, title = {Differential involvement of striato-and cerebello-thalamo-cortical pathways in tremor-and akinetic/rigid-predominant Parkinson{\textquoteright}s disease}, journal = {Neuroscience}, year = {2011}, publisher = {Elsevier}, author = {Lewis, M.M. and Du, G. and Sen, S. and Kawaguchi, A. and Truong, Y. and Lee, S. and Mailman, R.B. and Huang, X.} } @article {nicole2, title = {Distribution of Cell-free and Cell-associated HIV surrogates in the Colon Following Simulated Receptive Anal Intercourse in Healthy Men}, journal = {Journal of Acquired Immune Defficiency Syndromes, Basic and Translational Science}, volume = {59}, number = {1}, year = {2011}, pages = {10{\textendash}17}, author = {Louissaint, N and Nimmagadda, S and Fuchs, E and Bashki, R and Cao, Y and Lee, L and Goldsmith, J and Caffo, B and Du, Y and King, K and Menendez, F and Torbenson, M and Hendrix, C} } @article {622, title = {Dynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).}, journal = {Neuroimage}, volume = {56}, year = {2011}, month = {2011 Jun 15}, pages = {2218-37}, abstract = {

Intracranial EEG studies in humans have shown that functional brain activation in a variety of functional-anatomic domains of human cortex is associated with an increase in power at a broad range of high gamma (\>60Hz) frequencies. Although these electrophysiological responses are highly specific for the location and timing of cortical processing and in animal recordings are highly correlated with increased population firing rates, there has been little direct empirical evidence for causal interactions between different recording sites at high gamma frequencies. Such causal interactions are hypothesized to occur during cognitive tasks that activate multiple brain regions. To determine whether such causal interactions occur at high gamma frequencies and to investigate their functional significance, we used event-related causality (ERC) analysis to estimate the dynamics, directionality, and magnitude of event-related causal interactions using subdural electrocorticography (ECoG) recorded during two word production tasks: picture naming and auditory word repetition. A clinical subject who had normal hearing but was skilled in American Signed Language (ASL) provided a unique opportunity to test our hypothesis with reference to a predictable pattern of causal interactions, i.e. that language cortex interacts with different areas of sensorimotor cortex during spoken vs. signed responses. Our ERC analyses confirmed this prediction. During word production with spoken responses, perisylvian language sites had prominent causal interactions with mouth/tongue areas of motor cortex, and when responses were gestured in sign language, the most prominent interactions involved hand and arm areas of motor cortex. Furthermore, we found that the sites from which the most numerous and prominent causal interactions originated, i.e. sites with a pattern of ERC "divergence", were also sites where high gamma power increases were most prominent and where electrocortical stimulation mapping interfered with word production. These findings suggest that the number, strength and directionality of event-related causal interactions may help identify network nodes that are not only activated by a task but are critical to its performance.

}, keywords = {brain mapping, Cerebral Cortex, Electroencephalography, Female, Humans, Middle Aged, Neural Pathways, Seizures, Signal Processing, Computer-Assisted, Speech}, issn = {1095-9572}, doi = {10.1016/j.neuroimage.2011.03.030}, author = {Korzeniewska, A. and Franaszczuk, Piotr J. and Crainiceanu, C and Ku{\'s}, Rafa{\l} and Crone, Nathan E.} } @article {VP11_QAP, title = {Fast Inexact Graph Mathing with Applications in Statistical Connectomics}, journal = {under review}, year = {2011}, author = {Vogelstein, Joshua T and Conroy, John C and Podrazik, Louis J and Kratzer, Steven G and Fishkind, Donniell E and Vogelstein, Joshua T and Priebe, Carey E} } @article {nazarian2011AI, title = {Prospective study to assess the safety of a protocol for magnetic resonance imaging of patients with implanted cardiac devices}, journal = {Annals of Interal Medicine}, volume = {155}, number = {7}, year = {2011}, pages = {415{\textendash}424}, publisher = {American College of Physicians}, author = {Nazarian, S and Hansford, R and Roguin, A and Goldsher, D and Zviman, M and Lardo, A and Caffo, B and Frick, K and Kraut, M and Kamel, I and Ihab, R and Calkins, H and Berger, R and Bluemke, D and Halperin, H} } @article {reiss2011resampling, title = {Resampling-Based Information Criteria for Best-Subset Regression}, journal = {Annals of the Institute of Statistical Mathematics}, year = {2011}, author = {Reiss, P.T. and Huang, L. and Cavanaugh, J.E. and Krain Roy, A.} } @article {kriegeskorte2010everything, title = {Everything you never wanted to know about circular analysis, but were afraid to ask}, journal = {Journal of Cerebral Blood Flow \& Metabolism}, volume = {30}, number = {9}, year = {2010}, pages = {1551{\textendash}1557}, publisher = {Nature Publishing Group}, author = {Kriegeskorte, Nikolaus and Lindquist, Martin A and Nichols, Thomas E and Poldrack, Russell A and Vul, Edward} } @article {847, title = {Everything you never wanted to know about circular analysis, but were afraid to ask.}, journal = {J Cereb Blood Flow Metab}, volume = {30}, year = {2010}, month = {2010 Sep}, pages = {1551-7}, abstract = {

Over the past year, a heated discussion about {\textquoteright}circular{\textquoteright} or {\textquoteright}nonindependent{\textquoteright} analysis in brain imaging has emerged in the literature. An analysis is circular (or nonindependent) if it is based on data that were selected for showing the effect of interest or a related effect. The authors of this paper are researchers who have contributed to the discussion and span a range of viewpoints. To clarify points of agreement and disagreement in the community, we collaboratively assembled a series of questions on circularity herein, to which we provide our individual current answers in }, keywords = {Brain, brain mapping, Data Interpretation, Statistical, Guidelines as Topic, Image Processing, Computer-Assisted, Neurosciences, Publications, Research Design, Selection Bias}, issn = {1559-7016}, doi = {10.1038/jcbfm.2010.86}, author = {Kriegeskorte, Nikolaus and Lindquist, Martin A and Nichols, Thomas E and Poldrack, Russell A and Vul, Edward} } @conference {Knei:Brez:Crai:gene:2010, title = {Generalized Semiparametric Regression with Covariates Measured with Error}, booktitle = {Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir}, year = {2010}, pages = {133{\textendash}154}, publisher = {Physica-Verlag Ges.m.b.H}, organization = {Physica-Verlag Ges.m.b.H}, author = {Kneib, Thomas and Brezger, Andreas and Crainiceanu, C}, editor = {Kneib, Thomas and Tutz, Gerhard} } @article {Paninski2010, title = {A new look at state-space models for neural data.}, journal = {Journal of computational neuroscience}, volume = {29}, number = {1-2}, year = {2010}, pages = {107{\textendash}26}, abstract = {

State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely on certain approximations which are not always accurate. Here we review direct optimization methods that avoid these approximations, but that nonetheless retain the computational efficiency of the approximate methods. We discuss a variety of examples, applying these direct optimization techniques to problems in spike train smoothing, stimulus decoding, parameter estimation, and inference of synaptic properties. Along the way, we point out connections to some related standard statistical methods, including spline smoothing and isotonic regression. Finally, we note that the computational methods reviewed here do not in fact depend on the state-space setting at all; instead, the key property we are exploiting involves the bandedness of certain matrices. We close by discussing some applications of this more general point of view, including Markov chain Monte Carlo methods for neural decoding and efficient estimation of spatially-varying firing rates.

}, keywords = {1 introduction, Action Potentials, Action Potentials: physiology, Animals, Computer Simulation, for inference in state-space, forward-backward methods, hidden markov model, models, neural coding, Neurological, Neurons, Neurons: physiology, Retinal Ganglion Cells, Retinal Ganglion Cells: physiology, state-space models, Statistical, Synapses, Synapses: physiology, tridiagonal matrix}, issn = {1573-6873}, doi = {10.1007/s10827-009-0179-x}, url = {http://www.ncbi.nlm.nih.gov/pubmed/19649698}, author = {Paninski, Liam and Ahmadian, Yashar and Gil, Daniel and Shinsuke, Ferreira and Rahnama, Kamiar and Michael, Rad and Vogelstein, Joshua T and Wu, Wei and Ferreira, Daniel Gil and Koyama, Shinsuke and {Rahnama Rad}, Kamiar and Vidne, Michael} } @article {boatman, title = {Quantifying Auditory Event-Related Responses in Multichannel Human Intracranial Recordings}, journal = {Invited submission to Frontiers in Computational Neuroscience, PMCID: PMC2859880}, volume = {4}, number = {4}, year = {2010}, pages = {1{\textendash}17}, author = {Boatman-Reich, D and Franaszczuk, Piotr J. and Korzeniewska, A. and Caffo, B and Ritzl, E and Colwell, S and Crone, N} } @article {wager2009evaluating, title = {Evaluating the consistency and specificity of neuroimaging data using meta-analysis}, journal = {Neuroimage}, volume = {45}, number = {1}, year = {2009}, pages = {S210{\textendash}S221}, publisher = {Elsevier}, author = {Wager, Tor D and Lindquist, Martin A and Nichols, Thomas E and Kober, Hedy and Van Snellenberg, Jared X} } @article {yousem2009intelligence, title = {Intelligence and Medial Temporal Lobe Function in Older Adults: A Functional MR Imaging-Based Investigation}, journal = {American Journal of Neuroradiology, PMCID: PMC2843089}, volume = {30}, number = {8}, year = {2009}, pages = {1477{\textendash}1481}, publisher = {Am Soc Neuroradiology}, author = {Yousem, D and Yassa, M and Cristinzio, C and Kusevic, I and Mohamed, M and Caffo, B and Bassett, S} } @article {bowman2008bayesian, title = {A Bayesian hierarchical framework for spatial modeling of fMRI data}, journal = {NeuroImage, PMCID: PMC2134321}, volume = {39}, number = {1}, year = {2008}, pages = {146{\textendash}156}, publisher = {Elsevier}, author = {Bowman, F and Caffo, B and Bassett, S and Kilts, C} } @article {Korz:Crai:Ku:Fran:Cron:dyna:2008, title = {Dynamics of Event-related Causality in Brain Electrical Activity}, journal = {Human Brain Mapping}, volume = {29}, number = {10}, year = {2008}, pages = {1170{\textendash}1192}, keywords = {brain mapping, cortical synchronization, EEG, Language, Multivariate analysis, Neural network, neural transmission, Signal processing}, author = {Korzeniewska, A. and Crainiceanu, C and Ku{\'s}, Rafa{\l}{} and Franaszczuk, Piotr J. and Crone, Nathan E.} } @article {guilarte2008dysregulation, title = {Dysregulation of Glutamate Carboxypeptidase II in Psychiatric Disease}, journal = {Schizophrenia Research, PMCID: PMC2287371}, volume = {99}, number = {1-3}, year = {2008}, pages = {324{\textendash}332}, publisher = {NIH Public Access}, author = {Guilarte, T and Hammoud, D and McGlothan, J and Caffo, B and Foss, C and Kozikowski, A and Pomper, M} } @article {Kriv:Crai:Kaue:fast:2008, title = {Fast Adaptive Penalized Splines}, journal = {Journal of Computational and Graphical Statistics}, volume = {17}, number = {1}, year = {2008}, pages = {1{\textendash}20}, keywords = {function of locally varying complexity, hierarchical mixed model, Laplace approximation}, author = {Krivobokova, Tatyana and Crainiceanu, C and Kauermann, G{\"o}ran} } @article {Grev:Crai:Kche:Pete:rest:2008, title = {Restricted Likelihood Ratio Testing for Zero Variance Components in Linear Mixed Models}, journal = {Journal of Computational and Graphical Statistics}, volume = {17}, number = {4}, year = {2008}, pages = {870{\textendash}891}, keywords = {Nonparametric smoothing, nonregular problem, parametric bootstrap, penalized splines}, author = {Greven, S. and Crainiceanu, C and K{\"u}chenhoff, Helmut and Peters, Annette} } @article {wager2007meta, title = {Meta-analysis of functional neuroimaging data: current and future directions}, journal = {Social Cognitive and Affective Neuroscience}, volume = {2}, number = {2}, year = {2007}, pages = {150{\textendash}158}, publisher = {Oxford University Press}, author = {Wager, Tor D and Lindquist, Martin A and Kaplan, Lauren} } @article {pmid17344421, title = {Reduced kidney function as a risk factor for incident heart failure: the atherosclerosis risk in communities (ARIC) study}, journal = {J. Am. Soc. Nephrol.}, volume = {18}, number = {4}, year = {2007}, month = {Apr}, pages = {1307{\textendash}1315}, author = {Kottgen, A. and Russell, S. D. and Loehr, L. R. and Crainiceanu, C and Rosamond, W. D. and Chang, P. P. and Chambless, L. E. and Coresh, J.} } @article {bassett2006familial, title = {Familial risk for Alzheimer{\textquoteright}s disease alters fMRI activation patterns}, journal = {Brain, PMCID: PMC2744898}, volume = {129}, number = {5}, year = {2006}, pages = {1229{\textendash}1239}, publisher = {Oxford Univ Press}, author = {Bassett, S and Yousem, D and Cristinzio, C and Kusevic, I and Yassa, M and Caffo, B and Zeger, S} } @article {Carr:Rupp:Crai:Tost:Kara:nonl:2004, title = {Nonlinear and Nonparametric Regression and Instrumental Variables}, journal = {Journal of the American Statistical Association}, volume = {99}, number = {467}, year = {2004}, pages = {736{\textendash}750}, keywords = {Bayesian methods, Identifiability, Measurement error, Simulation extrapolation, Splines, structural modeling}, author = {Carroll, Raymond J. and Ruppert, D. and Crainiceanu, C and Tosteson, Tor D. and Karagas, Margaret R.} } @article {yacoub2003spin, title = {Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields}, journal = {Magnetic resonance in medicine}, volume = {49}, number = {4}, year = {2003}, pages = {655{\textendash}664}, publisher = {Wiley Online Library}, author = {Yacoub, Essa and Duong, Timothy Q and De Moortele, Van and Lindquist, Martin A and Adriany, Gregor and Kim, Seong-Gi and U{\u g}urbil, K{\^a}mil and Hu, Xiaoping and others} } @article {Greenspan1997, title = {Loss of FHIT expression in cervical carcinoma cell lines and primary tumors.}, journal = {Cancer Research}, volume = {57}, number = {21}, year = {1997}, pages = {4692{\textendash}4698}, publisher = {Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.}, abstract = {

Allelic deletions involving the short arm of chromosome 3 (3p13-21.1) have been observed frequently in cervical carcinomas. Recently, a candidate tumor suppressor gene, FHIT (Fragile Histidine Triad), was cloned and mapped to this chromosomal region (3p14.2). Abnormal FHIT transcripts have been identified previously in a variety of tumor cell lines and primary carcinomas, although their significance and the molecular mechanisms underlying their origin remain incompletely defined. In addition, integration of human papillomavirus DNA has been identified at a fragile site (FRA3B) within the FHIT locus in cervical cancer. These observations motivated us to evaluate FHIT mRNA and protein expression in cervical cancer cell lines, primary cervical carcinomas, and normal tissues. Transcripts of the expected size and sequence were the predominant species identified by reverse transcription (RT)-PCR in cultured keratinocytes and all normal tissues evaluated. In contrast, aberrant FHIT transcripts were readily demonstrated in 6 of 7 cervical carcinoma cell lines and 17 of 25 (68\%) primary cervical carcinomas. Northern blot analyses demonstrated reduced or absent FHIT expression in the cervical carcinoma cell lines, particularly those with aberrant RT-PCR products. Immunohistochemical analysis of Fhit expression in cervical tissues revealed strong immunoreactivity in nonneoplastic squamous and glandular cervical epithelium and marked reduction or loss of Fhit protein in 25 of 33 (76\%) primary cervical carcinomas. In those cervical cancer cell lines and primary tumors with exclusively aberrant or absent FHIT transcripts by RT-PCR, Fhit protein expression was always markedly reduced or absent. The frequent alterations in FHIT expression in many cervical carcinomas, but not in normal tissues, suggest that FHIT gene alterations may play an important role in cervical tumorigenesis.

}, url = {http://www.ncbi.nlm.nih.gov/pubmed/9354423}, author = {Greenspan, D L and Connolly, D C and Wu, R and Lei, R Y and Vogelstein, Joshua T and Kim, Y T and Mok, J E and Mu{\~n}oz, N and Bosch, F X and Shah, K and Cho, K R} }