Effects of word fluency task on motor speed and coordination Snow, J.H., & English, R.A. University of Arkansas for Medical Sciences & University of Missouri-Columbia

1990 ◽  
Vol 5 (2) ◽  
pp. 215
1990 ◽  
Vol 5 (2) ◽  
pp. 215-215
Author(s):  
J.H. Snow ◽  
R.A. English

2021 ◽  
Vol 8 ◽  
pp. 238212052110148
Author(s):  
Jasna Vuk ◽  
Steven McKee ◽  
Sara Tariq ◽  
Priya Mendiratta

Background: Medical school learning communities benefit students. The College of Medicine (COM) at the University of Arkansas for Medical Sciences (UAMS) provides medical students with academic, professional, and personal support through a learning community (LC) made of 7 academic houses. Objectives: To evaluate the effectiveness of the academic house model at UAMS utilizing a mixed-methods survey. The aims were to: (1) assess student experience and satisfaction with academic houses, (2) describe the realms of advising and guidance, and (3) identify areas for improvement. Method: An online survey was assigned to 723 COM students (all students enrolled, first through fourth years) at UAMS in March 2019. The survey was comprised of 25 items (10 multiple-choice, 8 on the Likert scale, and 7 open-ended questions). Data was depicted using frequency and percentages and/or thematic review of free-form responses. Results: The survey response rate was 31% (227 students). The majority of students responding (132, 58.1%) attended 2 or more face-to-face meetings with the faculty advisor within the preceding year. However, 27 (11.9%) students did not have any meetings. Approximately two-thirds of the respondents were satisfied or very satisfied with the guidance and direction provided by their advisors [very satisfied (n = 83; 36.6%); satisfied (n = 77; 33.9%)]. Themes that emerged from student generated areas for improvement include time constraints, advisor/advisee interest mismatch, and perceived inadequacy of advising content/connections. Conclusions: This study confirms the effectiveness of the LC model for advising and mentoring in the COM at UAMS. Uniquely, this study identifies not only learners’ satisfaction with their LC but also highlights areas for improvement which are widely generalizable and important to consider for institutions with or planning to start an LC.


2014 ◽  
Vol 45 (7) ◽  
pp. 1389-1399 ◽  
Author(s):  
H. C. Saavedra Pérez ◽  
M. A. Ikram ◽  
N. Direk ◽  
H. G. Prigerson ◽  
R. Freak-Poli ◽  
...  

BackgroundSeveral psychosocial risk factors for complicated grief have been described. However, the association of complicated grief with cognitive and biological risk factors is unclear. The present study examined whether complicated grief and normal grief are related to cognitive performance or structural brain volumes in a large population-based study.MethodThe present research comprised cross-sectional analyses embedded in the Rotterdam Study. The study included 5501 non-demented persons. Participants were classified as experiencing no grief (n = 4731), normal grief (n = 615) or complicated grief (n = 155) as assessed with the Inventory of Complicated Grief. All persons underwent cognitive testing (Mini-Mental State Examination, Letter–Digit Substitution Test, Stroop Test, Word Fluency Task, word learning test – immediate and delayed recall), and magnetic resonance imaging to measure general brain parameters (white matter, gray matter), and white matter lesions. Total brain volume was defined as the sum of gray matter plus normal white matter and white matter lesion volume. Persons with depressive disorders were excluded and analyses were adjusted for depressive symptoms.ResultsCompared with no-grief participants, participants with complicated grief had lower scores for the Letter–Digit Substitution Test [Z-score −0.16 v. 0.04, 95% confidence interval (CI) −0.36 to −0.04, p = 0.01] and Word Fluency Task (Z-score −0.15 v. 0.03, 95% CI −0.35 to −0.02, p = 0.02) and smaller total volumes of brain matter (933.53 ml v. 952.42 ml, 95% CI −37.6 to −0.10, p = 0.04).ConclusionsParticipants with complicated grief performed poorly in cognitive tests and had a smaller total brain volume. Although the effect sizes were small, these findings suggest that there may be a neurological correlate of complicated grief, but not of normal grief, in the general population.


1996 ◽  
Vol 2 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Michelle Dunn ◽  
Hilary Gomes ◽  
Mary Joan Sebastian

Author(s):  
Lucia Scheffel ◽  
Joseph R. Duffy ◽  
Edythe A. Strand ◽  
Keith A. Josephs

Purpose This study compared performance on three-word fluency measures among individuals with primary progressive aphasia (PPA) and primary progressive apraxia of speech (PPAOS), and examined the relationship between word fluency and other measures of language and speech. Method This study included 106 adults with PPA and 30 adults with PPAOS. PPA participants were divided into three clinical subgroups: semantic (svPPA), logopenic (lvPPA), and nonfluent/agrammatic with or without apraxia of speech (nfPPA). Category fluency, letter fluency, and action/verb fluency tasks were administered to all participants. Results The four clinical groups performed abnormally on the word fluency measures, although not to a degree that represented high sensitivity to their PPA or PPAOS diagnosis. All PPA subgroups produced fewer words compared to individuals with PPAOS on all word fluency measures. Moderate correlations were found between word fluency and aphasia severity and naming performance in some of the clinical groups. Conclusions Word fluency measures are often challenging for individuals with PPA and PPAOS, but they are not of equal difficulty, with letter fluency being the most difficult. Differences among word fluency tests also vary to some degree as a function of the clinical group in question, with least impairment in PPAOS. However, the findings of this study do not support statistically significant differences in word fluency task performance among the PPA subgroups. Correlations suggest that word fluency performance in PPA is at least partly related to aphasia severity.


2011 ◽  
Vol 26 (S2) ◽  
pp. 1560-1560
Author(s):  
S. Miyata ◽  
A. Noda ◽  
M. Ito ◽  
K. Iwamoto ◽  
N. Ozaki

IntroductionSleep restriction has adverse effects on performance and neurobehavioral function. However, the mechanism of impaired performance and neurobehavioral function has not been studied yet.ObjectivesWe examined the effect of insufficient sleep on cerebral blood flow and cognitive function in 8 healthy adults (mean age 22.4 years).MethodsAll participants were in bed for 8 h (sufficient sleep), and for < 4 h (insufficient sleep). The oxyhemoglobin (oxyHb) level by a word fluency task was measured with a near-infrared spectroscopy recorder on the morning following sufficient and insufficient sleep periods. Wisconsin card sorting test (WCST), continuous performance test (CPT) and N-back test were evaluated on the same days.ResultsThe peak oxyHb level was significantly lower in the left and right frontal lobes after insufficient sleep than after sufficient sleep (left: 0.25 ± 0.10 vs. 0.70 ± 0.29 mmol, P < 0.05; right: 0.23 ± 0.13 vs. 0.73 ± 0.22 mmol, P < 0.05). There was no significant difference in the number of words generated during the word fluency task between sufficient and insufficient sleep states. The percentage of correct responses on CPT after insufficient sleep was significantly lower than that after sufficient sleep (86.6 ± 10.2 vs. 96.0 ± 4.9%, P < 0.05). The reaction time of WCST was significantly longer after insufficient sleep than after sufficient sleep (76.6 ± 13.4 vs. 70.6 ± 16.2 sec, P < 0.05).ConclusionsOne night sleep restriction decreased the concentration changes of oxyHb in brain tissue, leading to impaired cognitive function.


2002 ◽  
Vol 126 (4) ◽  
pp. 442-447 ◽  
Author(s):  
Ilene B. Bayer-Garner ◽  
Louis M. Fink ◽  
Laura W. Lamps

Abstract Context.—With the advent of modern diagnostic technology, use of the autopsy as a means of assessing diagnostic accuracy has declined precipitously. Interestingly, during the same period, the rate of misdiagnosis found at autopsy has not changed. Objectives.—To ascertain why an autopsy was requested, whether or not questions asked by clinicians were specifically addressed, and what types of misdiagnoses were found. Design.—One hundred forty-two consecutive autopsy records from the University of Arkansas for Medical Sciences Hospital were reviewed. In the same period, 715 deaths occurred, giving an overall autopsy rate of 20.14%. Results.—Of the 125 autopsies in which the problem-oriented autopsy request was available for review, a reason for the autopsy was given in only 69 cases (55%). One hundred three clinical questions were asked, and of these, 81 were specifically addressed in the final anatomic diagnosis, 10 were addressed in some part of the autopsy report but not in the final anatomic diagnosis, 10 were not addressed at all, and 2 could not be answered by the autopsy. Sixty-one autopsies revealed 81 misdiagnoses: 47 class I (missed major diagnosis that, if detected before death, could have led to a change in management that might have resulted in cure or prolonged survival) and 34 class II misdiagnoses (missed major diagnosis in which antemortem detection would have not led to a change in management). Conclusions.—The autopsy continues to be a vital part of medical education and quality assurance. It is important for the clinician to provide a clinical summary and specific clinical questions to be addressed or to speak directly with the pathologist and for the pathologist to provide answers that are easily accessible within the autopsy report. In this way, a problem-oriented autopsy can be performed based on questions raised by the clinician and the pathologist as a result of the gross dissection and microscopic evaluation.


2017 ◽  
Vol 13 (1) ◽  
pp. e91-e97 ◽  
Author(s):  
Varinder Kaur ◽  
Sajjad Haider ◽  
Appalanaidu Sasapu ◽  
Paulette Mehta ◽  
Konstantinos Arnaoutakis ◽  
...  

Using the Quality Oncology Practice Initiative, an affiliate program of ASCO, we outlined opioid-associated constipation (OAC) as a subject in need of quality improvement (QI) in our fellowship program at the University of Arkansas for Medical Sciences and Central Arkansas Veterans Healthcare System. We initiated a fellow-led QI project to advance the quality of patient care and provide a valuable avenue for QI training of young physicians. Fellows organized meetings with all stakeholders, addressed the scope of the problem, and devised strategies for OAC management. Monthly meetings were organized using Plan-Do-Study-Act principles. Mandatory check boxes were inserted into our electronic medical record templates to remind all physicians to identify patients on opioid medications and assess and address OAC. Final chart audit and patient satisfaction surveys were performed 6 months after project initiation. Assessment of OAC improved from 52% at baseline to 92% ( P < .003). This improvement corresponded with high patient satisfaction scores, with 90% of surveyed patients reporting adequate management of their constipation. In this QI initiative, we showed that participation in ASCO’s Quality Oncology Practice Initiative helps identify areas in need of QI, and such fellow-led QI projects can serve as models for QI training of young physicians.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1777-1777
Author(s):  
Sarah Waheed ◽  
Hongwei Wang ◽  
Pingping Qu ◽  
Christoph Heuck ◽  
Aasiya Matin ◽  
...  

Abstract Introduction Extramedullary disease (EMD) is a primary disease manifestation of MM, which while not seen frequently at presentation increases in incidence at relapse where its incidence seems to be increasing following the introduction of novel agents. Patients with EMD have a shorter overall survival as well as an increased incidence of anemia, thrombocytopenia, elevated serum lactate dehydrogenase, cytogenetic abnormalities, and high-risk features as determined by gene expression profiling. There is also an increased incidence of the high risk MAF subtypes t (14:16 or 14; 20). Understanding the biology of EMD and identifying its present could give important information about how to improve the outcome of this group. In this work we have used GEP analysis of bone marrow derived plasma cells to predict the presence of EMD so that we can identify the genomic risk factors that define the features of a plasma cell clone, which can develop the capacity to metastasize outside the BM. Materials and Methods We focused on patients treated on TT protocols, at the UAMS, Myeloma Institute between 1989 - 2010, a total of 1154 patients, of which 46 developed EMD before the start of therapy (EMD-1), and 91 developed EMD after registration to UAMS for MM treatment EMD-2. Results We show that most EMD2 cases (57.14%) develop within 3 years after initiation of therapy at the UAMS with few cases developing after this time. Predicting the risk of EMD Combining patients with EMD1 and EMD2 diagnosis within 3 years gave a total of 98 EMD cases. We used 824 samples from 1017 myeloma patients who never developed EMD and had follow up at least 3 years as a comparator group. The data were divided into training (n=619 with 66 EMD cases and 553 controls) and test sets (n=303 with 32 EMD cases and 271 controls). Using the training set, we identified 5 significant gene probes (with a q value < 0.001) and made a score to predict cases and controls. The sensitivity and specificity turned out to be 74.24% and 77.40% in the training set, and 56.25% and 76.75% in the test set, respectively. Predicting the time to EMD2 We tested whether we could predict time to EMD2 based on using baseline GEP samples. In this analysis, all EMD2 cases and controls were included. We divided the data into training (n=743 with 61 EMD2 and 682 controls) and test sets (n=365 with 30 EMD2 and 335 controls). By fitting a uniform Cox regression model to each gene in the training set, we identified 68 gene probes that are associated with time to EMD2 (with a q-value <0.1). We then created a score based on the 68 gene probes and identified an optimal cutoff based on the training set. Applying the optimal cutoff to both training and test sets, we found that the new 68-gene high/low risk model is a good predictor on the cumulative incidence of EMD2 (p value < 0.0001). Conclusion We show that EMD2 cases mostly occur within 3 years of diagnosis and a 68 gene based risk score that can predict a cumulative incidence of EMD. Of the 68 genes that are used to develop the prognostic score for EMD, 6 genes are also part of the 70-gene risk score developed by our group. GEP studies can help us identify EMD-specific gene signature that can further help develop target agents. Figure 1. Figure 1. Disclosures Waheed: University of Arkansas for Medical Sciences: Employment. Wang:Cancer Research and Biostatistics: Employment. Qu:Cancer Research and Biostatistics: Employment. Heuck:Millenium: Other: Advisory Board; Foundation Medicine: Honoraria; Janssen: Other: Advisory Board; University of Arkansas for Medical Sciences: Employment; Celgene: Consultancy. Matin:University of Arkansas for Medical Sciences: Employment. Jethava:University of Arkansas for Medical Sciences: Employment. van Rhee:University of Arkansa for Medical Sciences: Employment. Hoering:Cancer Research and Biostatistics: Employment. Barlogie:University of Arkansas for Medical Sciences: Employment. Davies:University of Arkansas for Medical Sciences: Employment; Millenium: Consultancy; Onyx: Consultancy; Celgene: Consultancy; Janssen: Consultancy. Morgan:Weismann Institute: Honoraria; University of Arkansas for Medical Sciences: Employment; CancerNet: Honoraria; MMRF: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1820-1820
Author(s):  
Priyangi A Malaviarachchi ◽  
Donald E Turner ◽  
Caleb K. Stein ◽  
Bart Barlogie ◽  
Gareth J Morgan ◽  
...  

Abstract Background: Tumor cells exhibit elevated ROS levels and cancer stem cells have lower ROS levels than their normal counterparts [Kobayashi et al., 2011]. However, little is known about the effect of ROS levels on multiple myeloma (MM) plasma cell (PC) chemosensitivity. Previously we found that ROS levels are variable in CD138-selected MMPCs from different cases at diagnosis. However, ROS levels in MMPCs from focal lesions (FL, n=42) are lower than PCs from random bone marrow (BM) aspirates (n=192, p=0.02). ROS levels also vary among MM molecular subgroups, with MF and CD2 subgroups having low ROS levels, suggesting that the microenvironment and genetic factors affect their oxidative capacities. We hypothesized that ROS level may reflect the cancer stemness properties of MM cells. We first sought to establish a model to investigate MM cells with different ROS levels and then determine if this property confers cancer stemness and chemoresistance. Methods: We analyzed gene expression profiles (GEP) of primary myeloma cells from newly diagnosed patients with low (n=48) and high (n=48) ROS level by gene set enrichment analysis. We compared viability, proliferation, cell cycle status, drug efflux ability, chemosensitivity, and clonogenic capacity of MM cell lines H929 and U266 with high and low ROS levels, sorted by FACS using H2DCFDA. We also investigated whether MMPCs with low or high ROS levels would differ in their sensitivity to BBI-608, a drug that is reported to target STAT3 driven gene transcription and cancer stemness properties in solid cancers [Li et al., 2015] and is currently being tested in hematologic cancers [BBI608-103HEME]. Results: Pathways enrichment analysis revealed that primary MM cases with low ROS had increased oxidative phosphorylation, proteasome activity, and nucleotide excision repair compared to cases with high ROS that had increased glycolysis, and chemokine and calcium signaling pathways. To explore these differences we separated MMCLs into cells not sorted by ROS level (non-ROS sorted), ROSLo, and ROSHi groups. After sorting, H929 cells retained significant differences in ROS levels for 48-72 hr and U266 cells returned to basal ROS levels within 24hr. ROSLo H929 cells had significantly reduced cell number (p<0.0001) compared to non-ROS sorted and ROSHi cells. Similarly, ROSLo cells had reduced and ROSHi cells had significantly increased proliferation index compared to non-ROS sorted cells (H929-p<0.05, U266-p<0.001). ROSLo cells also have a significantly larger percentage of cells in S phase (p <0.01) and reduced percentage in G2 (p< 0.001) compared to non-ROS sorted cells. While ROSHi cells (but not ROSLo cells) were less sensitive to melphalan compared to non-ROS sorted cells, there was no difference in sensitivity to bortezomib. Examination of ABC transporter efflux activity revealed that ROSHi cells had increased drug efflux capacity via the multidrug resistance protein MRP1 (p<0.01). ROSLo cells showed greater colony forming capacity, however after serial replating, ROSHi cells increase colony forming capacity after each passage eventually matching that of ROSLo cells. Interestingly, if clonogenic cells are re-sorted into ROSLo and ROSHi groups between passages, ROSLo cells retain superior colony forming capacity compared to ROSHi cells. ROSLo (IC50-0.656μM) and ROSHi (IC50-0.56μM) cells had significantly increased sensitivity to BBI-608 compared to non-ROS-sorted cells (IC50-0.991 μM). Cell number was significantly reduced in all 3 groups without significantly affecting viability. The STAT3 target gene, CCND1 is significantly elevated in ROSHi cells and effectively reduced by BBI-608. After low dose BBI-608 (0.6μM) treatment, the remaining cells were subjected to colony forming assays. While BBI-608 reduced colony forming capacity to some extent in all 3 groups, ROSHi cells were most sensitive. Conclusions: Characterization of MM cells with variable ROS levels revealed that ROSHi cells have greater drug efflux capacity and are more proliferative and chemoresistant, whereas ROSLo cells have reduced proliferation and increased clonogenic capacity. ROSLo MMPCs may represent a subpopulation of tumor cells with stemness properties that are enriched in the hypoxic BM niche and in MM focal lesions. Disclosures Malaviarachchi: University of Arkansas for Medical Sciences: Employment. Turner:University of Arkansas for Medical Sciences: Employment. Stein:University of Arkansas for Medical Sciences: Employment. Barlogie:University of Arkansas for Medical Sciences: Employment. Morgan:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; MMRF: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; University of Arkansas for Medical Sciences: Employment; CancerNet: Honoraria; Weismann Institute: Honoraria. Epstein:University of Arkansas for Medical Sciences: Employment. Yaccoby:University of Arkansas for Medical Sciences: Employment. Johnson:University of Arkansas for Medical Sciences: Employment.


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