Network


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

Hotspot


Dive into the research topics where Barbara B. Bendlin is active.

Publication


Featured researches published by Barbara B. Bendlin.


NeuroImage | 2008

Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging ☆

Barbara B. Bendlin; Michele L. Ries; Mariana Lazar; Andrew L. Alexander; Robert J. Dempsey; Howard A. Rowley; Jack E. Sherman; Sterling C. Johnson

Traumatic brain injury (TBI) is associated with brain volume loss, but there is little information on the regional gray matter (GM) and white matter (WM) changes that contribute to overall loss. Since axonal injury is a common occurrence in TBI, imaging methods that are sensitive to WM damage such as diffusion-tensor imaging (DTI) may be useful for characterizing microstructural brain injury contributing to regional WM loss in TBI. High-resolution T1-weighted imaging and DTI were used to evaluate regional changes in TBI patients compared to matched controls. Patients received neuropsychological testing and were imaged approximately 2 months and 12.7 months post-injury. Paradoxically, neuropsychological function improved from Visit 1 to Visit 2, while voxel-based analyses of fractional anisotropy (FA), and mean diffusivity (MD) from the DTI images, and voxel-based analyses of the GM and WM probability maps from the T1-weighted images, mainly revealed significantly greater deleterious GM and WM change over time in patients compared to controls. Cross-sectional comparisons of the DTI measures indicated that patients have decreased FA and increased MD compared to controls over large regions of the brain. TBI affected virtually all of the major fiber bundles in the brain including the corpus callosum, cingulum, the superior and inferior longitudinal fascicules, the uncinate fasciculus, and brain stem fiber tracts. The results indicate that both GM and WM degeneration are significant contributors to brain volume loss in the months following brain injury, and also suggest that DTI measures may be more useful than high-resolution anatomical images in assessment of group differences.


JAMA Neurology | 2015

Association of Insulin Resistance With Cerebral Glucose Uptake in Late Middle–Aged Adults at Risk for Alzheimer Disease

Auriel A. Willette; Barbara B. Bendlin; Erika J. Starks; Alex C. Birdsill; Sterling C. Johnson; Bradley T. Christian; Ozioma C. Okonkwo; Asenath La Rue; Bruce P. Hermann; Rebecca L. Koscik; Erin Jonaitis; Mark A. Sager; Sanjay Asthana

IMPORTANCE Converging evidence suggests that Alzheimer disease (AD) involves insulin signaling impairment. Patients with AD and individuals at risk for AD show reduced glucose metabolism, as indexed by fludeoxyglucose F 18-labeled positron emission tomography (FDG-PET). OBJECTIVES To determine whether insulin resistance predicts AD-like global and regional glucose metabolism deficits in late middle-aged participants at risk for AD and to examine whether insulin resistance-predicted variation in regional glucose metabolism is associated with worse cognitive performance. DESIGN, SETTING, AND PARTICIPANTS This population-based, cross-sectional study included 150 cognitively normal, late middle-aged (mean [SD] age, 60.7 [5.8] years) adults from the Wisconsin Registry for Alzheimers Prevention (WRAP) study, a general community sample enriched for AD parental history. Participants underwent cognitive testing, fasting blood draw, and FDG-PET at baseline. We used the homeostatic model assessment of peripheral insulin resistance (HOMA-IR). Regression analysis tested the statistical effect of HOMA-IR on global glucose metabolism. We used a voxelwise analysis to determine whether HOMA-IR predicted regional glucose metabolism. Finally, predicted variation in regional glucose metabolism was regressed against cognitive factors. Covariates included age, sex, body mass index, apolipoprotein E ε4 genotype, AD parental history status, and a reference region used to normalize regional uptake. MAIN OUTCOMES AND MEASURES Regional glucose uptake determined using FDG-PET and neuropsychological factors. RESULTS Higher HOMA-IR was associated with lower global glucose metabolism (β = -0.29; P < .01) and lower regional glucose metabolism across large portions of the frontal, lateral parietal, lateral temporal, and medial temporal lobes (P < .05, familywise error corrected). The association was especially robust in the left medial temporal lobe (R2 = 0.178). Lower glucose metabolism in the left medial temporal lobe predicted by HOMA-IR was significantly related to worse performance on the immediate memory (β = 0.317; t148 = 4.08; P < .001) and delayed memory (β = 0.305; t148 = 3.895; P < .001) factor scores. CONCLUSIONS AND RELEVANCE Our results show that insulin resistance, a prevalent and increasingly common condition in developed countries, is associated with significantly lower regional cerebral glucose metabolism, which in turn may predict worse memory performance. Midlife may be a critical period for initiating treatments to lower peripheral insulin resistance to maintain neural metabolism and cognitive function.


Diabetes Care | 2013

Insulin Resistance, Brain Atrophy, and Cognitive Performance in Late Middle–Aged Adults

Auriel A. Willette; Guofan Xu; Sterling C. Johnson; Alex C. Birdsill; Erin Jonaitis; Mark A. Sager; Bruce P. Hermann; Asenath La Rue; Sanjay Asthana; Barbara B. Bendlin

OBJECTIVE Insulin resistance dysregulates glucose uptake and other functions in brain areas affected by Alzheimer disease. Insulin resistance may play a role in Alzheimer disease etiopathogenesis. This longitudinal study examined whether insulin resistance among late middle–aged, cognitively healthy individuals was associated with 1) less gray matter in Alzheimer disease–sensitive brain regions and 2) worse cognitive performance. RESEARCH DESIGN AND METHODS Homeostasis model assessment of insulin resistance, gray matter volume, and the Rey Auditory Verbal Learning Test (RAVLT) were acquired in 372 participants at baseline and a consecutive subset of 121 individuals ~4 years later. Voxel-based morphometry and tensor-based morphometry were used, respectively, to test the association of insulin resistance with baseline brain volume and progressive gray matter atrophy. RESULTS Higher insulin resistance predicted less gray matter at baseline and 4 years later in medial temporal lobe, prefrontal cortices, precuneus, and other parietal gyri. A region-of-interest analysis, independent of the voxel-wise analyses, confirmed that higher insulin resistance was related to medial temporal lobe atrophy. Atrophy itself corresponded to cognitive deficits in the RAVLT. Temporal lobe atrophy that was predicted by higher insulin resistance significantly mediated worse RAVLT encoding performance. CONCLUSIONS These results suggest that insulin resistance in an asymptomatic, late middle–aged cohort is associated with progressive atrophy in regions affected by early Alzheimer disease. Insulin resistance may also affect the ability to encode episodic information by negatively influencing gray matter volume in medial temporal lobe.


Developmental Neuropsychology | 2010

White Matter in Aging and Cognition: A Cross-sectional Study of Microstructure in Adults Aged Eighteen to Eighty-Three

Barbara B. Bendlin; Michele E. Fitzgerald; Michele L. Ries; Guofan Xu; Erik K. Kastman; Brent W. Thiel; Howard A. Rowley; Mariana Lazar; Andrew L. Alexander; Sterling C. Johnson

Structural brain change and concomitant cognitive decline are the seemingly unavoidable escorts of aging. Despite accumulating studies detailing the effects of age on the brain and cognition, the relationship between white matter features and cognitive function in aging have only recently received attention and remain incompletely understood. White matter microstructure can be measured with diffusion tensor imaging (DTI), but whether DTI can provide unique information on brain aging that is not explained by white matter volume is not known. In the current study, the relationship between white matter microstructure, age, and neuropsychological function was assessed using DTI in a statistical framework that employed white matter volume as a voxel-wise covariate in a sample of 120 healthy adults across a broad age range (18–83). Memory function and executive function were modestly correlated with the DTI measures while processing speed showed the greatest extent of correlation. The results suggest that age-related white matter alterations underlie age-related declines in cognitive function. Mean diffusivity and fractional anisotropy in several white matter brain regions exhibited a nonlinear relationship with age, while white matter volume showed a primarily linear relationship with age. The complex relationships between cognition, white matter microstructure, and white matter volume still require further investigation.


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.


Alzheimers & Dementia | 2011

The effect of TOMM40 poly-T length on gray matter volume and cognition in middle-aged persons with APOE ɛ3/ɛ3 genotype

Sterling C. Johnson; Asenath La Rue; Bruce P. Hermann; Guofan Xu; Rebecca L. Koscik; Erin Jonaitis; Barbara B. Bendlin; Kirk Hogan; Allen D. Roses; Ann M. Saunders; Michael W. Lutz; Sanjay Asthana; Robert C. Green; Mark A. Sager

Apolipoprotein E (APOE) genotypes are associated with variable risk of developing late‐onset Alzheimers disease (LOAD), with APOE epsilon 4 (APOE ɛ4) having higher risk. A variable poly‐T length polymorphism at rs10524523, within intron 6 of the translocase of the outer mitochondrial membrane (TOMM40) gene, has been shown to influence age of onset in LOAD, with very long (VL) poly‐T length associated with earlier disease onset, and short poly‐T length associated with later onset. In this study, we tested the hypothesis that brain and cognitive changes suggestive of presymptomatic LOAD may be associated with this TOMM40 polymorphism.


Brain | 2008

The influence of parental history of Alzheimer's disease and apolipoprotein E ε4 on the BOLD signal during recognition memory

Guofan Xu; Donald G. McLaren; Michele L. Ries; Michele E. Fitzgerald; Barbara B. Bendlin; Howard A. Rowley; Mark A. Sager; Craig S. Atwood; Sanjay Asthana; Sterling C. Johnson

First-degree family history (FH) of sporadic Alzheimers disease and the apolipoprotein E epsilon4 allele (APOE4) are risk factors for Alzheimers disease that may affect brain function prior to onset of clinical symptoms. In this functional MRI (fMRI) study, we used an episodic recognition task that required discrimination of previously viewed (PV) and novel (NV) faces to examine differences in blood oxygen level dependent (BOLD) signal due to risk factors in 74 middle-aged cognitively normal individuals. The group effects on this recognition task were tested with a 2 x 2 ANCOVA factorial design (+FH/-FH and +APOE4/-APOE4). There were significant APOE4 and FH effects in the left dorsal posterior cingulate cortex and precuneus, where decreased risk resulted in greater activity during recollection. Recognition performance was positively correlated with BOLD signal in the left posterior hippocampus, parahippocampal-retrosplenial gyrus and left superior frontal cortex regardless of risk factors. To examine condition-specific group effects, both the PV and NV faces were tested further in separate 2 x 2 ANCOVAs. Both models revealed an APOE effect, with the -APOE4 group showing stronger signal than the +APOE4 group in anterior cingulate cortices, while a FH effect was found in the dorsal cuneus and medial frontal cortices with the -FH group showing stronger signal than the +FH group. Finally, interactions between APOE4 and FH effects were found bilaterally in the fusiform gyrus. These results suggest that risk factors and cognitive performance each influence brain activity during recognition. The findings lend further support to the idea that functional brain changes may begin far in advance of symptomatic Alzheimers disease.


Journal of Alzheimer's Disease | 2010

Microstructural diffusion changes are independent of macrostructural volume loss in moderate to severe Alzheimer's disease.

Elisa Canu; Donald G. McLaren; Michele E. Fitzgerald; Barbara B. Bendlin; Giada Zoccatelli; Franco Alessandrini; Francesca B. Pizzini; Giuseppe Ricciardi; Alberto Beltramello; Sterling C. Johnson; Giovanni B. Frisoni

Although it is established that Alzheimers disease (AD) leads to cerebral macrostructural atrophy, microstructural diffusion changes have also been observed, but it is not yet known whether these changes offer unique information about the disease pathology. Thus, a multi-modal imaging study was conducted to determine the independent contribution of each modality in moderate to severe AD. Seventeen patients with moderate-severe AD and 13 healthy volunteers underwent diffusion-weighted and T1-weighted MR scanning. Images were processed to obtain measures of macrostructural atrophy (gray and white matter volumes) and microstructural damage (fractional anisotropy and mean diffusivity). Microstructural diffusion changes independent of macrostructural loss were investigated using an ANCOVA where macrostructural maps were used as voxel-wise covariates. The reverse ANCOVA model was also assessed, where macrostructural loss was the dependent variable and microstructural diffusion tensor imaging maps were the imaging covariates. Diffusion differences between patients and controls were observed after controlling for volumetric differences in medial temporal, retrosplenial regions, anterior commissure, corona radiata, internal capsule, thalamus, corticopontine tracts, cerebral peduncle, striatum, and precentral gyrus. Independent volumetric differences were observed in the entorhinal cortex, inferior temporal lobe, posterior cingulate cortex, splenium and cerebellum. While it is well known that AD is associated with pronounced volumetric change, this study suggests that measures of microstructure provide unique information not obtainable with volumetric mapping in regions known to be pivotal in AD and in those thought to be spared. As such this work provides great understanding of the topography of pathological changes in AD that can be captured with imaging.


Alzheimers & Dementia | 2010

White matter is altered with parental family history of Alzheimer’s disease

Barbara B. Bendlin; Michele L. Ries; Elisa Canu; Aparna Sodhi; Mariana Lazar; Andrew L. Alexander; Cynthia M. Carlsson; Mark A. Sager; Sanjay Asthana; Sterling C. Johnson

Brain alterations in structure and function have been identified in people with risk factors for sporadic type Alzheimers disease (AD), suggesting that alterations can be detected decades before AD diagnosis. Although the effect of apolipoprotein E (APOE) ɛ4 on the brain is well‐studied, less is known about the effect of family history of AD. We examined the main effects of family history and APOE ɛ4 on brain integrity, in addition to assessing possible additive effects of these two risk factors.


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.

Collaboration


Dive into the Barbara B. Bendlin's collaboration.

Top Co-Authors

Avatar

Sterling C. Johnson

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

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

Ozioma C. Okonkwo

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Rebecca L. Koscik

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Jennifer M. Oh

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
Researchain Logo
Decentralizing Knowledge