Browsing by Author "Tallman, Eileen"

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    Cancer, Cognitive Impairment, and Work-Related Outcomes: An Integrative Review
    (ONS, 2016-09) Von Ah, Diane; Storey, Susan; Tallman, Eileen; Nielsen, Adele; Johns, Shelley A.; Pressler, Susan J.; IU School of Nursing
    Problem Identification: Cancer survivors often report concerns regarding their memory, attention, and ability to process information and make decisions. These problems, which have also been demonstrated on objective neuropsychological assessments, may have a significant impact on work-related outcomes.
 Literature Search: A literature review was conducted using the following electronic databases: Ovid (MEDLINE®), PubMed, CINAHL®, and Web of Science. Search terms included cancer, survivors, cognitive, work, and work ability. Empirical research published in English from January 2002 to August 2015 that focused on cognitive impairment in adult cancer survivors was included in the review.
 Data Evaluation: Articles were evaluated by two independent researchers.
 Synthesis: Twenty-six studies met the inclusion criteria. Ten were qualitative, 15 were quantitative, and 1 had a mixed-methods design. Quantitative articles were synthesized using the integrative methodology strategies proposed by Whittemore and Knafl. Synthesis of qualitative articles was conducted using the criteria established by the Swedish Agency for Health Technology Assessment and Assessment of Social Services. 
 Conclusions: To date, research in this context has been limited by cognitive assessments focusing primarily on patient self-assessments of attention, concentration, and memory. Additional research is needed to examine the impact of cognitive performance and to expand work-related outcomes measures to include perceived work ability, productivity, and actual performance.
 Implications for Nursing: Lack of information regarding cognitive impairment inhibits survivors’ ability to prepare, understand, and accept impending cognitive changes and how they may affect work ability. Oncology nurses can assist cancer survivors by preparing and educating them on how to better manage impairment associated with cancer and its treatment.
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    Resting state network modularity along the prodromal late onset Alzheimer's disease continuum
    (Elsevier, 2019) Contreras, Joey A.; Avena-Koenigsberger, Andrea; Risacher, Shannon L.; West, John D.; Tallman, Eileen; McDonald, Brenna C.; Farlow, Martin R.; Apostolova, Liana G.; Goñi, Joaquín; Dzemidzic, Mario; Wu, Yu-Chien; Kessler, Daniel; Jeub, Lucas; Fortunato, Santo; Saykin, Andrew J.; Sporns, Olaf; Radiology and Imaging Sciences, School of Medicine
    Alzheimer's disease is considered a disconnection syndrome, motivating the use of brain network measures to detect changes in whole-brain resting state functional connectivity (FC). We investigated changes in FC within and among resting state networks (RSN) across four different stages in the Alzheimer's disease continuum. FC changes were examined in two independent cohorts of individuals (84 and 58 individuals, respectively) each comprising control, subjective cognitive decline, mild cognitive impairment and Alzheimer's dementia groups. For each participant, FC was computed as a matrix of Pearson correlations between pairs of time series from 278 gray matter brain regions. We determined significant differences in FC modular organization with two distinct approaches, network contingency analysis and multiresolution consensus clustering. Network contingency analysis identified RSN sub-blocks that differed significantly across clinical groups. Multiresolution consensus clustering identified differences in the stability of modules across multiple spatial scales. Significant modules were further tested for statistical association with memory and executive function cognitive domain scores. Across both analytic approaches and in both participant cohorts, the findings converged on a pattern of FC that varied systematically with diagnosis within the frontoparietal network (FP) and between the FP network and default mode network (DMN). Disturbances of modular organization were manifest as greater internal coherence of the FP network and stronger coupling between FP and DMN, resulting in less segregation of these two networks. Our findings suggest that the pattern of interactions within and between specific RSNs offers new insight into the functional disruption that occurs across the Alzheimer's disease spectrum.
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    Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans
    (Springer, 2018-01-05) Cong, Shan; Risacher, Shannon L.; West, John D.; Wu, Yu-Chien; Apostolova, Liana G.; Tallman, Eileen; Rizkalla, Maher; Salama, Paul; Saykin, Andrew J.; Shen, Li; Radiology and Imaging Sciences, School of Medicine
    The hippocampus has been widely studied using neuroimaging, as it plays an important role in memory and learning. However, hippocampal subfield information is difficult to capture by standard magnetic resonance imaging (MRI) techniques. To facilitate morphometric study of hippocampal subfields, ADNI introduced a high resolution (0.4 mm in plane) T2-weighted turbo spin-echo sequence that requires 8 min. With acceleration, the protocol can be acquired in 4 min. We performed a comparative study of hippocampal subfield volumes using standard and accelerated protocols on a Siemens Prisma 3T MRI in an independent sample of older adults that included 10 cognitively normal controls, 9 individuals with subjective cognitive decline, 10 with mild cognitive impairment, and 6 with a clinical diagnosis of Alzheimer’s disease (AD). The Automatic Segmentation of Hippocampal Subfields (ASHS) software was used to segment 9 primary labeled regions including hippocampal subfields and neighboring cortical regions. Intraclass correlation coefficients were computed for reliability tests between 4 and 8 min scans within and across the four groups. Pairwise group analyses were performed, covaried for age, sex and total intracranial volume, to determine whether the patterns of group differences were similar using 4 vs. 8 min scans. The 4 and 8 min protocols, analyzed by ASHS segmentation, yielded similar volumetric estimates for hippocampal subfields as well as comparable patterns of differences between study groups. The accelerated protocol can provide reliable imaging data for investigation of hippocampal subfields in AD-related MRI studies and the decreased scan time may result in less vulnerability to motion.
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    White matter alterations in early-stage Alzheimer's disease: A tract-specific study
    (Elsevier, 2019-08-21) Wen, Qiuting; Mustafi, Sourajit M.; Li, Junjie; Risacher, Shannon L.; Tallman, Eileen; Brown, Steven A.; West, John D.; Harezlak, Jaroslaw; Farlow, Martin R.; Unverzagt, Frederick W.; Gao, Sujuan; Apostolova, Liana G.; Saykin, Andrew J.; Wu, Yu-Chien; Radiology and Imaging Sciences, School of Medicine
    Introduction: Diffusion magnetic resonance imaging may allow for microscopic characterization of white matter degeneration in early stages of Alzheimer's disease. Methods: Multishell Diffusion magnetic resonance imaging data were acquired from 100 participants (40 cognitively normal, 38 with subjective cognitive decline, and 22 with mild cognitive impairment [MCI]). White matter microscopic degeneration in 27 major tracts of interest was assessed using diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging, and q-space imaging. Results: Lower DTI fractional anisotropy and higher radial diffusivity were observed in the cingulum, thalamic radiation, and forceps major of participants with MCI. These tracts of interest also had the highest predictive power to discriminate groups. Diffusion metrics were associated with cognitive performance, particularly Rey Auditory Verbal Learning Test immediate recall, with the highest association observed in participants with MCI. Discussion: While DTI was the most sensitive, neurite orientation dispersion and density imaging and q-space imaging complementarily characterized reduced axonal density accompanied with dispersed and less restricted white matter microstructures.