Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jennifer M. Oh is active.

Publication


Featured researches published by Jennifer M. Oh.


Alzheimers & Dementia | 2015

Insulin resistance predicts brain amyloid deposition in late middle-aged adults

Auriel A. Willette; Sterling C. Johnson; Alex C. Birdsill; Mark A. Sager; Bradley T. Christian; Laura D. Baker; Suzanne Craft; Jennifer M. Oh; Eric Statz; Bruce P. Hermann; Erin Jonaitis; Rebecca L. Koscik; Asenath La Rue; Sanjay Asthana; Barbara B. Bendlin

Insulin resistance (IR) increases Alzheimers disease (AD) risk. IR is related to greater amyloid burden post‐mortem and increased deposition within areas affected by early AD. No studies have examined if IR is associated with an in vivo index of amyloid in the human brain in late middle‐aged participants at risk for AD.


Neurobiology of Aging | 2014

Amyloid burden and neural function in people at risk for Alzheimer's Disease

Sterling C. Johnson; Bradley T. Christian; Ozioma C. Okonkwo; Jennifer M. Oh; Sandra Harding; Guofan Xu; Ansel T. Hillmer; Dustin Wooten; Dhanabalan Murali; Todd E. Barnhart; Lance Hall; Annie M. Racine; William E. Klunk; Chester A. Mathis; Barbara B. Bendlin; Catherine L. Gallagher; Cynthia M. Carlsson; Howard A. Rowley; Bruce P. Hermann; N. Maritza Dowling; Sanjay Asthana; Mark A. Sager

To determine the relationship between amyloid burden and neural function in healthy adults at risk for Alzheimers Disease (AD), we used multimodal imaging with [C-11]Pittsburgh compound B positron emission tomography, [F-18]fluorodeoxyglucose, positron emission tomography , and magnetic resonance imaging, together with cognitive measurement in 201 subjects (mean age, 60.1 years; range, 46-73 years) from the Wisconsin Registry for Alzheimers Prevention. Using a qualitative rating, 18% of the samples were strongly positive Beta-amyloid (Aβ+), 41% indeterminate (Aβi), and 41% negative (Aβ-). Aβ+ was associated with older age, female sex, and showed trends for maternal family history of AD and APOE4. Relative to the Aβ- group, Aβ+ and Aβi participants had increased glucose metabolism in the bilateral thalamus; Aβ+ participants also had increased metabolism in the bilateral superior temporal gyrus. Aβ+ participants exhibited increased gray matter in the lateral parietal lobe bilaterally relative to the Aβ- group, and no areas of significant atrophy. Cognitive performance and self report cognitive and affective symptoms did not differ between groups. Amyloid burden can be identified in adults at a mean age of 60 years and is accompanied by glucometabolic increases in specific areas, but not atrophy or cognitive loss. This asymptomatic stage may be an opportune window for intervention to prevent progression to symptomatic AD.


NeuroImage: Clinical | 2014

Associations between white matter microstructure and amyloid burden in preclinical Alzheimer's disease: A multimodal imaging investigation.

Annie M. Racine; Nagesh Adluru; Andrew L. Alexander; Bradley T. Christian; Ozioma C. Okonkwo; Jennifer M. Oh; Caitlin A. Cleary; Alex C. Birdsill; Ansel T. Hillmer; Dhanabalan Murali; Todd E. Barnhart; Catherine L. Gallagher; Cynthia M. Carlsson; Howard A. Rowley; N. Maritza Dowling; Sanjay Asthana; Mark A. Sager; Barbara B. Bendlin; Sterling C. Johnson

Some cognitively healthy individuals develop brain amyloid accumulation, suggestive of incipient Alzheimers disease (AD), but the effect of amyloid on other potentially informative imaging modalities, such as Diffusion Tensor Imaging (DTI), in characterizing brain changes in preclinical AD requires further exploration. In this study, a sample (N = 139, mean age 60.6, range 46 to 71) from the Wisconsin Registry for Alzheimers Prevention (WRAP), a cohort enriched for AD risk factors, was recruited for a multimodal imaging investigation that included DTI and [C-11]Pittsburgh Compound B (PiB) positron emission tomography (PET). Participants were grouped as amyloid positive (Aβ+), amyloid indeterminate (Aβi), or amyloid negative (Aβ−) based on the amount and pattern of amyloid deposition. Regional voxel-wise analyses of four DTI metrics, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (Da), and radial diffusivity (Dr), were performed based on amyloid grouping. Three regions of interest (ROIs), the cingulum adjacent to the corpus callosum, hippocampal cingulum, and lateral fornix, were selected based on their involvement in the early stages of AD. Voxel-wise analysis revealed higher FA among Aβ+ compared to Aβ− in all three ROIs and in Aβi compared to Aβ− in the cingulum adjacent to the corpus callosum. Follow-up exploratory whole-brain analyses were consistent with the ROI findings, revealing multiple regions where higher FA was associated with greater amyloid. Lower fronto-lateral gray matter MD was associated with higher amyloid burden. Further investigation showed a negative correlation between MD and PiB signal, suggesting that Aβ accumulation impairs diffusion. Interestingly, these findings in a largely presymptomatic sample are in contradistinction to relationships reported in the literature in symptomatic disease stages of Mild Cognitive Impairment and AD, which usually show higher MD and lower FA. Together with analyses showing that cognitive function in these participants is not associated with any of the four DTI metrics, the present results suggest an early relationship between PiB and DTI, which may be a meaningful indicator of the initiating or compensatory mechanisms of AD prior to cognitive decline.


Obesity | 2013

Low cerebral blood flow is associated with lower memory function in metabolic syndrome

Alex C. Birdsill; Cynthia M. Carlsson; Auriel A. Willette; Ozioma C. Okonkwo; Sterling C. Johnson; Guofan Xu; Jennifer M. Oh; Catherine L. Gallagher; Rebecca L. Koscik; Erin Jonaitis; Bruce P. Hermann; Asenath LaRue; Howard A. Rowley; Sanjay Asthana; Mark A. Sager; Barbara B. Bendlin

Metabolic syndrome (MetS)—a cluster of cardiovascular risk factors—is linked with cognitive decline and dementia. However, the brain changes underlying this link are presently unknown. In this study, we tested the relationship between MetS, cerebral blood flow (CBF), white matter hyperintensity burden, and gray matter (GM) volume in cognitively healthy late middle‐aged adults. Additionally, the extent to which MetS was associated with cognitive performance was assessed.


Cerebral Cortex | 2014

Cerebral Blood Flow is Diminished in Asymptomatic Middle-Aged Adults with Maternal History of Alzheimer's Disease

Ozioma C. Okonkwo; Guofan Xu; Jennifer M. Oh; N. Maritza Dowling; Cynthia M. Carlsson; Catherine L. Gallagher; Alex C. Birdsill; Matthew Lee Palotti; Whitney Wharton; Bruce P. Hermann; Asenath LaRue; Barbara B. Bendlin; Howard A. Rowley; Sanjay Asthana; Mark A. Sager; Sterling C. Johnson

Cerebral blood flow (CBF) provides an indication of the metabolic status of the cortex and may have utility in elucidating preclinical brain changes in persons at risk for Alzheimers disease (AD) and related diseases. In this study, we investigated CBF in 327 well-characterized adults including patients with AD (n = 28), patients with amnestic mild cognitive impairment (aMCI, n = 23), older cognitively normal (OCN, n = 24) adults, and asymptomatic middle-aged adults (n = 252) with and without a family history (FH) of AD. Compared with the asymptomatic cohort, AD patients displayed significant hypoperfusion in the precuneus, posterior cingulate, lateral parietal cortex, and the hippocampal region. Patients with aMCI exhibited a similar but less marked pattern of hypoperfusion. Perfusion deficits within the OCN adults were primarily localized to the inferior parietal lobules. Asymptomatic participants with a maternal FH of AD showed hypoperfusion in hippocampal and parietofrontal regions compared with those without a FH of AD or those with only a paternal FH of AD. These observations persisted when gray matter volume was included as a voxel-wise covariate. Our findings suggest that having a mother with AD might confer a particular risk for AD-related cerebral hypoperfusion in midlife. In addition, they provide further support for the potential utility of arterial spin labeling for the measurement of AD-related neurometabolic dysfunction, particularly in situations where [18F]fluorodeoxyglucose imaging is infeasible or clinically contraindicated.


Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2015

Subjective memory complaints, cortical thinning, and cognitive dysfunction in middle-age adults at risk of AD

Stephanie A. Schultz; Jennifer M. Oh; Rebecca L. Koscik; N. Maritza Dowling; Catherine L. Gallagher; Cynthia M. Carlsson; Barbara B. Bendlin; Asenath LaRue; Bruce P. Hermann; Howard A. Rowley; Sanjay Asthana; Mark A. Sager; Sterling C. Johnson; Ozioma C. Okonkwo

Subjective memory complaints (SMCs) represent an individuals perception of subtle changes in memory in the absence of objective impairment in memory. However, it is not fully known whether persons with SMCs harbor brain alterations related to Alzheimers disease (AD) or whether they indeed demonstrate poorer cognitive performance.


Human Brain Mapping | 2014

Midlife measurements of white matter microstructure predict subsequent regional white matter atrophy in healthy adults

Martina Ly; Elisa Canu; Guofan Xu; Jennifer M. Oh; Donald G. McLaren; N. Maritza Dowling; Andrew L. Alexander; Mark A. Sager; Sterling C. Johnson; Barbara B. Bendlin

Objectives: Although age‐related brain changes are becoming better understood, midlife patterns of change are still in need of characterization, and longitudinal studies are lacking. The aim of this study was to determine if baseline fractional anisotropy (FA), obtained from diffusion tensor imaging (DTI) predicts volume change over a 4‐year interval. Experimental design: Forty‐four cognitively healthy middle‐age adults underwent baseline DTI and longitudinal T1‐weighted magnetic resonance imaging. Tensor‐based morphometry methods were used to evaluate volume change over time. FA values were extracted from regions of interest that included the cingulum, entorhinal white matter, and the genu and splenium of the corpus callosum. Baseline FA was used as a predictor variable, whereas gray and white matter atrophy rates as indexed by Tensor‐based morphometry were the dependent variables. Principal observations: Over a 4‐year period, participants showed significant contraction of white matter, especially in frontal, temporal, and cerebellar regions (P < 0.05, corrected for multiple comparisons). Baseline FA in entorhinal white matter, genu, and splenium was associated with longitudinal rates of atrophy in regions that included the superior longitudinal fasciculus, anterior corona radiata, temporal stem, and white matter of the inferior temporal gyrus (P < 0.001, uncorrected for multiple comparisons). Conclusions: Brain change with aging is characterized by extensive shrinkage of white matter. Baseline white matter microstructure as indexed by DTI was associated with some of the observed regional volume loss. The findings suggest that both white matter volume loss and microstructural alterations should be considered more prominently in models of aging and neurodegenerative diseases. Hum Brain Mapp 35:2044–2054, 2014.


Archives of Clinical Neuropsychology | 2015

Occupational Complexity and Cognitive Reserve in a Middle-Aged Cohort at Risk for Alzheimer's Disease

Elizabeth A. Boots; Stephanie A. Schultz; Rodrigo P. Almeida; Jennifer M. Oh; Rebecca L. Koscik; Maritza Dowling; Catherine L. Gallagher; Cynthia M. Carlsson; Howard A. Rowley; Barbara B. Bendlin; Sanjay Asthana; Mark A. Sager; Bruce P. Hermann; Sterling C. Johnson; Ozioma C. Okonkwo

Higher occupational attainment has previously been associated with increased Alzheimers disease (AD) neuropathology when individuals are matched for cognitive function, indicating occupation could provide cognitive reserve. We examined whether occupational complexity (OCC) associates with decreased hippocampal volume and increased whole-brain atrophy given comparable cognitive function in middle-aged adults at risk for AD. Participants (n = 323) underwent structural MRI, cognitive evaluation, and work history assessment. Three complexity ratings (work with data, people, and things) were obtained, averaged across up to 3 reported jobs, weighted by years per job, and summed to create a composite OCC rating. Greater OCC was associated with decreased hippocampal volume and increased whole-brain atrophy when matched for cognitive function; results remained substantively unchanged after adjusting for several demographic, AD risk, vascular, mental health, and socioeconomic characteristics. These findings suggest that, in people at risk for AD, OCC may confer resilience to the adverse effects of neuropathology on cognition.


Alzheimers & Dementia | 2016

Beta-amyloid and cognitive decline in late middle age: Findings from the Wisconsin Registry for Alzheimer's Prevention study

Lindsay R. Clark; Annie M. Racine; Rebecca L. Koscik; Ozioma C. Okonkwo; Corinne D. Engelman; Cynthia M. Carlsson; Sanjay Asthana; Barbara B. Bendlin; Rick Chappell; Christopher R. Nicholas; Howard A. Rowley; Jennifer M. Oh; Bruce P. Hermann; Mark A. Sager; Bradley T. Christian; Sterling C. Johnson

The present study investigated the relationship between beta‐amyloid (Aβ) and cognition in a late middle‐aged cohort at risk for Alzheimers disease (AD).


Neurobiology of Aging | 2016

Age-dependent differences in brain tissue microstructure assessed with neurite orientation dispersion and density imaging

Andrew P. Merluzzi; Douglas C. Dean; Nagesh Adluru; Gaurav Suryawanshi; Ozioma C. Okonkwo; Jennifer M. Oh; Bruce P. Hermann; Mark A. Sager; Sanjay Asthana; Hui Zhang; Sterling C. Johnson; Andrew L. Alexander; Barbara B. Bendlin

Human aging is accompanied by progressive changes in executive function and memory, but the biological mechanisms underlying these phenomena are not fully understood. Using neurite orientation dispersion and density imaging, we sought to examine the relationship between age, cellular microstructure, and neuropsychological scores in 116 late middle-aged, cognitively asymptomatic participants. Results revealed widespread increases in the volume fraction of isotropic diffusion and localized decreases in neurite density in frontal white matter regions with increasing age. In addition, several of these microstructural alterations were associated with poorer performance on tests of memory and executive function. These results suggest that neurite orientation dispersion and density imaging is capable of measuring age-related brain changes and the neural correlates of poorer performance on tests of cognitive functioning, largely in accordance with published histological findings and brain-imaging studies of people of this age range. Ultimately, this study sheds light on the processes underlying normal brain development in adulthood, knowledge that is critical for differentiating healthy aging from changes associated with dementia.

Collaboration


Dive into the Jennifer M. Oh's collaboration.

Top Co-Authors

Avatar

Sterling C. Johnson

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Barbara B. Bendlin

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Sanjay Asthana

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Ozioma C. Okonkwo

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Cynthia M. Carlsson

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Mark A. Sager

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Howard A. Rowley

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Bruce P. Hermann

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Catherine L. Gallagher

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Rebecca L. Koscik

University of Wisconsin-Madison

View shared research outputs
Researchain Logo
Decentralizing Knowledge