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2716 citation(s) found for "Ma, Michelle".

The Timing of Exposure in Clinic-Based Treatment for Childhood Anxiety Disorders
Gryczkowski, Michelle R. , Tiede, Michael S. , Dammann, Julie E., Jacobsen, Amy Brown, Hale, Lisa R., Whiteside, Stephen P. H.

Behavior Modification | April 2, 2013 | Volume: 37 | Issue: 2 | Pages: 211-225

10.1177/0145445513482394 | PMID 23548341 Get It

The present study examines treatment length and timing of exposure from two child anxiety disorders clinics. Data regarding symptoms and treatment characteristics for 28 youth were prospectively obtained through self, parent, and therapist report at each session. Information regarding length of treatment, timing of exposure initiation, and drop-out rates were compared with those obtained through efficacy and effectiveness trials of manualized treatment for anxious youth. Findings from the authors’ clinical data revealed significantly shorter treatment duration with exposures implemented sooner than in the previous studies. Dropout rates were significantly higher than in the efficacy trial but comparable with the effectiveness trial. Outcome data from a subset of eight patients revealed large effect sizes. These findings suggest that effective treatment can be shorter and more focused on exposure than is often outlined in manuals and have important implications for outcome research and dissemination.
Broad-Range Direct Detection and Identification of Fungi by Use of the PLEX-ID PCR-Electrospray Ionization Mass Spectrometry (ESI-MS) System
Simner, Patricia J. , Uhl, James R., Hall, Leslie, Weber, Michelle M., Walchak, Robert C., Buckwalter, Seanne P., Wengenack, Nancy L.

Journal of Clinical Microbiology | March 21, 2013 | Volume: 51 | Issue: 6 | Pages: 1699-1706

10.1128/jcm.03282-12 | PMID 23515540 Get It

ABSTRACT The PLEX-ID system is a novel technology that couples PCR amplification and electrospray ionization-mass spectrometry to identify pathogens directly in clinical specimens. The analytical performance of the PLEX-ID Broad Fungal assay was compared with that of traditional culture identification by using 91 characterized fungal culture isolates (64 manufacturer-claimed and 27 nonclaimed organisms) and directly by using 395 respiratory specimens. Discordant results were resolved by D2 large-subunit ribosomal DNA fungal sequencing. Environmental studies were performed to monitor for potential contamination. The PLEX-ID Broad Fungal assay correctly identified 95.6% (87/91) and 81.3% (74/91) of the culture isolates to the genus and species levels, respectively. Of the manufacturer-claimed organisms, 100% (64/64) and 92.2% (59/64) were correctly identified to the genus and species levels, respectively. Direct analysis of respiratory specimens resulted in 67.6% (267/395) and 66.6% (263/395) agreement with culture results to the genus and species levels, respectively, with 16.2% (64/395) of the results discordant with culture and 16.2% (64/395) not detected by the system. The majority (>95%) of the isolates not detected directly by the PLEX-ID system ultimately grew in low quantities in culture (≤20 colonies). In 20.3% (35/172) of the respiratory specimens where no growth was observed in culture, the PLEX-ID system identified a fungus, suggesting a potential increase in sensitivity over culture in some instances. The PLEX-ID system provides a rapid method for the detection of a broad array of fungi directly in respiratory specimens and has the potential of impacting turnaround times and patient care by reducing the need to wait for the growth of an organism in culture.
MicroRNA Expression Signatures during Malignant Progression from Barrett's Esophagus to Esophageal Adenocarcinoma
Wu, Xifeng , Gu, Jian , Chang, David W. , Tan, Weiqi, Huang, Maosheng, Wang, Kenneth K. , Hawk, Ernest T. , Ajani, Jaffer A. , Tan, Weiqi, Hildebrandt, Michelle A.T. , Gu, Jian

Cancer Prevention Research | March 6, 2013 | Volume: 6 | Issue: 3 | Pages: 196-205

10.1158/1940-6207.capr-12-0276 | PMID 23466817 Get It

Abstract Barrett's esophagus is the precursor lesion of esophageal adenocarcinoma, whose progression follows sequential stages. However, the low progression rate and the inadequacy and subjective interpretation of histologic grading in predicting Barrett's esophagus progression call for more objective biomarkers that can improve risk prediction. We conducted a genome-wide profiling of 754 human microRNAs (miRNA) in 35 normal epithelium, 34 Barrett's esophagus, and 36 esophageal adenocarcinoma tissues using TaqMan real-time PCR-based profiling. Unsupervised hierarchical clustering using 294 modestly to highly expressed miRNAs showed clear clustering of two groups: normal epithelium versus Barrett's esophagus/esophageal adenocarcinoma tissues. Moreover, there was an excellent clustering of Barrett's metaplasia (without dysplasia) tissues from normal epithelium tissues. However, Barrett's esophagus tissues of different stages and esophageal adenocarcinoma tissues were interspersed. There were differentially expressed miRNAs at different stages. The majority of miRNA aberrations involved upregulation of expression in Barrett's esophagus and esophageal adenocarcinoma tissues, with the most dramatic alterations occurring at the Barrett's metaplasia stage. Known oncomiRs, such as miR-21, miR-25, and miR-223, and tumor suppressor miRNAs, including miR-205, miR-203, let-7c, and miR-133a, showed progressively altered expression from Barrett's esophagus to esophageal adenocarcinoma. We also identified a number of novel miRNAs that showed progressively altered expression, including miR-301b, miR-618, and miR-23b. The significant miRNA alterations that were exclusive to esophageal adenocarcinoma but not Barrett's esophagus included miR-375 downregulation and upregulation of five members of the miR-17-92 and its homologue clusters, which may become promising biomarkers for esophageal adenocarcinoma development. Cancer Prev Res; 6(3); 196–205. ©2013 AACR.
Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity
Jahanshad, Neda , Rajagopalan, Priya , Hua, Xue , Hibar, Derrek P., Nir, Talia M. , Toga, Arthur W. , Jack, Clifford R., Saykin, Andrew J. , Weiner, Michael W. , Medland, Sarah E. , Montgomery, Grant W. , Hansell, Narelle K. , McMahon, Katie L. , Zubicaray, Greig I. de , Martin, Nicholas G. , Wright, Margaret J. , Thompson, Paul M. , Initiative, the Alzheimer’s Disease Neuroimaging, Aisen, Paul, Petersen, Ronald, Jagust, William J. , Trojanowski, John Q. , Toga, Arthur W., Green, Robert C., Liu, Enchi , Green, Robert C., Montine, Tom, Gamst, Anthony, Thomas, Ronald G. , Donohue, Michael, Walter, Sarah , Gessert, Devon, Sather, Tamie, Harvey, Danielle, Donohue, Michael, Kornak, John , Jack, Clifford R., Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene, DeCarli, Charles , Bandy, Dan, Foster, Norm, Reiman, Eric M. , Mathis, Chet, Cairns, Nigel J. , Taylor‐Reinwald, Lisa, Trojanowki, John Q., Shaw, Les, Korecka, Magdalena , Toga, Arthur W., Crawford, Karen , Neu, Scott, Khachaturian, Zaven S., Frank, R.T., Molchan, Susan, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Johnson, Kris , Doody, Rachelle S., Chowdhury, Munir , Bell, Karen L. , Carroll, Maria , Leon, Sue, Mintun, Mark A., Schneider, Stacy, Marson, Daniel , Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo‐Morrell, Leyla, Duara, Ranjan , Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie , Glodzik, Lidia , Santi, Susan De , Doraiswamy, P. Murali , Petrella, Jeffrey R. , Coleman, Robert E. , Arnold, Steven E. , Karlawish, Jason H., Smith, Charles D., Jicha, Gregory A. , Hardy, Peter , Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Mulnard, Ruth A., Thai, Gaby , Mc-Adams-Ortiz, Catherine, Mathews, Dana, Quiceno, Mary , King, Richard, Martin-Cook, Kristen, Devous, Michael D. , Cellar, Janet S., Anderson, Heather S., Swerdlow, Russell H. , Apostolova, Liana , Lu, Po H. , Bartzokis, George, Graff‐Radford, Neill R. , Parfitt, Francine, Farlow, Martin R. , Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Carson, Richard E. , MacAvoy, Martha G., Chertkow, Howard , Bergman, Howard , Hosein, Chris, Caldwell, Curtis, Hsiung, Ging‐Yuek Robin , Feldman, Howard J., Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang‐Kuo, Johnson, Nancy E., Sadowsky, Carl, Villena, Teresa, Johnson, Kathleen, Reynolds, Brigid, Marshall, Gad A. , Frey, Meghan , Yesavage, Jerome A. , Taylor, Joy L. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine M. , Jacobson, Sandra A. , Kowall, Neil W. , Budson, Andrew E. , Johnson, Patricia Lynn, Wolday, Saba, Bwayo, Salome K., Lerner, Alan J. , Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Olichney, John , Kittur, Smita, Borrie, Michael, Lee, T.-Y., Bartha, Robert , Asthana, Sanjay , Carlsson, Cynthia M., Preda, Adrian , Tariot, Pierre N. , Fleisher, Adam , Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Kataki, Maria , Zimmerman, Earl A. , Celmins, Dzintra, Brown, Alice D., Blank, Karen, Anderson, Karen, Santulli, Robert B. , Schwartz, Eben S., Williamson, Jeff D. , Garg, Pradeep , Watkins, Franklin, Ott, Brian R. , Querfurth, Henry, Tremont, Geoffrey , Salloway, Stephen , Malloy, Paul, Correia, Stephen , Rosen, Howard J., Mintzer, Jacobo , Longmire, Crystal Flynn, Spicer, Kenneth, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Lee, Ting‐Yim , Jack, Clifford R., Green, Robert C. , Initiative, the Alzheimer’s Disease Neuroimaging, Jack, Clifford R. , Toga, Arthur W., Beckett, Laurel , Green, Robert C., Morris, John C. , Green, Robert C., Donohue, Michael, Sather, Tamie, Donohue, Michael, Jack, Clifford R., Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Koeppe, Robert A. , Chen, Kewei , Mathis, Chet, Lee, Virginia M.‐Y. , Toga, Arthur W., Foroud, Tatiana , Potkin, Steven G. , Shen, Li , Snyder, Peter J. , Kaye, Jeffrey , Lord, Joanne L. , Villanueva-Meyer, Javier E. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Grossman, Hillel, Shah, Raj C. , Duara, Ranjan , Varón, Daniel , Rusinek, Henry , Leon, Mony J. de , Karlawish, Jason , Wolk, David A. , Porsteinsson, Anton P. , Womack, Kyle , Diaz‐Arrastia, Ramon , Weiner, Myron , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather M. , Black, Sandra E. , Stefanovic, Bojana , Kertesz, Andrew, Kerwin, Diana , Martínez, Walter Fabián , Turner, Raymond Scott , Sperling, Reisa Anne , Johnson, Keith A. , Killiany, Ronald , Norbash, Alexander , Obisesan, Thomas O. , Carmichael, Owen , Johnson, Sterling C. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Pearlson, Godfrey D. , Sink, Kaycee M. , Miller, Bruce L. , Finger, Elizabeth C. , Kertesz, Andrew, de Zubicaray, Greig I , Hansell, Narelle K , Saykin, Andrew J , Preda, Adrian , Martin, Nicholas G , Toga, Arthur W , Wright, Margaret J , Thompson, Paul M , Medland, Sarah E , Hsiung, Gink-Yuek , Jicha, Gregory A

Proceedings of the National Academy of Sciences | March 5, 2013 | Volume: 110 | Issue: 12 | Pages: 4768-4773

10.1073/pnas.1216206110 | PMID 23471985 Get It

Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer’s disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, high-angular resolution diffusion MRI. We adapted GWASs to screen the brain’s connectivity pattern, allowing us to discover genetic variants that affect the human brain’s wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer’s disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism ( MACROD2 ), development ( NEDD4 ), and mental retardation ( UBE2A ) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
Clinical Experience with MRI-Guided Vacuum-Assisted Breast Biopsy
DePeri, Elizabeth R., Peacock, Sue , McDonough, Michelle, DeMartini, Wendy B. , Shook, Jennifer E., Lehman, Constance Dobbins

American Journal of Roentgenology | February 28, 2013 | Volume: 184 | Issue: 6 | Pages: 1782-1787

10.2214/ajr.184.6.01841782 | PMID 15908530 Get It

Diffusion Tensor Imaging Atlas-Based Analyses in Major Depression After Mild Traumatic Brain Injury
Rao, Vani, Mielke, Michelle M. , Smith, Gwenn S. , McCann, Una D., Bergey, Alyssa, Doshi, Vishal , Pham, Dzung L. , Mori, Susumi, Xu, Xin , Yousem, David Mark , Mielke, Michelle M

The Journal of Neuropsychiatry and Clinical Neurosciences | February 8, 2013 | Volume: 24 | Issue: 3 | Pages: 309-315

10.1176/appi.neuropsych.11080188 | PMID 23037644 Get It

The effect of July admission on inpatient outcomes following spinal surgery
Helm, Gregory A., Kallmes, David F. , McDonald, Jennifer S. , Clarke, Michelle J.

Journal of Neurosurgery: Spine | January 29, 2013 | Volume: 18 | Issue: 3 | Pages: 280-288

10.3171/2012.12.spine12300 | PMID 23360353 Get It

Object The presence of a “July effect,” where the influx of new residents and fellows at teaching hospitals every July may negatively affect patient care and outcomes, is widely debated. The authors used the Nationwide Inpatient Sample (NIS) to identify all cases of spinal surgery and examine outcomes among patients who underwent surgery in July compared with those who underwent surgery in other months. Methods Spinal surgery hospitalizations from 2001 to 2008 were identified in the NIS by extracting relevant ICD-9 codes. Rates of in-hospital mortality, discharge to a long-term care facility, and postoperative complications were compared between admission months and between teaching and nonteaching hospitals using the Wilcoxon rank-sum test, Fisher exact test, and multivariate regression analysis. Results Compared with patients admitted in other months, patients who were admitted to teaching hospitals in July for spinal surgery showed a similar likelihood of in-hospital mortality (OR 0.94 [95% CI 0.78–1.11], p = 0.46), reaction to implanted device/instrumentation (OR 0.88 [95% CI 0.77–1.02], p = 0.09), and postoperative wound dehiscence (OR 1.12 [95% CI 0.94–1.33], p = 0.25). A significantly higher likelihood of discharge to a long-term care facility (OR 1.03 [95% CI 1.00–1.07], p = 0.0467) and postoperative infection (OR 1.11 [95% CI 1.05–1.17], p = 0.0341) was observed in teaching hospitals in July compared with other months; however, incidence rates were similar regardless of admission month. Higher-risk patients (Charlson score ≥ 2) admitted to teaching hospitals in July had a similar likelihood of all outcomes regardless of admission month. Conclusions This study of nationwide hospitalizations demonstrates that the influx of new residents and fellows in July has a negligible effect on periprocedural outcomes following spinal surgery.
Biomarkers in Alzheimer's Disease and Lewy Body Disorders with Dementia
Leyhe, Thomas, Darreh‐Shori, Taher , Laske, Christoph , Mielke, Michelle M. , Maetzler, Walter , Mielke, Michelle M

International Journal of Alzheimer's Disease | January 9, 2013 | Volume: 2013 | Issue: No issue available | Pages: 1-2

10.1155/2013/473181 | PMID 23365784 Get It

Focusing On the Fornix: Can Fornix Diffusion Tensor Imaging Measures Be Used to Predict Alzheimer’s disease?
Mielke, Michelle M.

Neurodegenerative Disease Management | December 18, 2012 | Volume: 2 | Issue: 6 | Pages: 549-551

10.2217/nmt.12.60 Get It