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Dive into the research topics where Adam M. Brickman is active.

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Featured researches published by Adam M. Brickman.


Biological Psychiatry | 2006

Regional white matter and neuropsychological functioning across the adult lifespan

Adam M. Brickman; Molly E. Zimmerman; Robert H. Paul; Stuart M. Grieve; David F. Tate; Ronald A. Cohen; Leanne M. Williams; C. Richard Clark; Evian Gordon

BACKGROUNDnThe current study utilized magnetic resonance imaging (MRI) to more fully elucidate the relationship among age, regional white matter, and neuropsychological functioning.nnnMETHODSnOne hundred ninety-nine neurologically healthy adults received MRI and standardized neuropsychological assessment. MR images were spatially normalized and segmented by tissue type; relative white matter values in each of the four cerebral lobes in each hemisphere were computed. Subjects were divided into Younger (ages 21-30), Middle (ages 31-54), and Older (ages 55-79) age groups.nnnRESULTSnThe Older group had significantly less overall relative white matter than the Middle group, who had significantly less overall relative white matter than the Younger participants (F (2, 193) = 5.42, p = 0.005). Differences in frontal lobe white matter were of largest magnitude, followed by temporal lobe (F (6, 579) = 3.32, p = 0.003). Age and frontal and temporal lobe white matter were primarily associated with performance on neuropsychological tests of executive functioning and memory. Mediational analysis suggested that frontal lobe white matter mediated the relationship between age and performance on tasks of executive functioning and memory.nnnCONCLUSIONSnThe results confirm age-associated decline in frontal and temporal white matter, and age-related cognitive decline in several domains. Decline in neuropsychological functioning is, in part, mediated by a relative age-related reduction in frontal white matter.


Neurobiology of Aging | 2007

Structural MRI covariance patterns associated with normal aging and neuropsychological functioning.

Adam M. Brickman; Christian G. Habeck; Eric Zarahn; Joseph Flynn; Yaakov Stern

Structural magnetic resonance imaging (MRI) studies have shown dramatic age-associated changes in grey and white matter volume, but typically use univariate analyses that do not explicitly test the interrelationship among brain regions. The current study used a multivariate approach to identify covariance patterns of grey and white matter tissue density to distinguish older from younger adults. A second aim was to examine whether the expression of the age-associated covariance topographies is related to performance on cognitive tests affected by normal aging. Eighty-four young (mean age=24.0) and 29 older (mean age=73.1) participants were scanned with a 1.5T MRI machine and assessed with a cognitive battery. Images were spatially normalized and segmented to produce grey and white matter density maps. A multivariate technique, based on the subprofile scaling model, was used to capture sources of between- and within-group variation to produce a linear combination of principal components that represented a pattern or network that best discriminated between the two age groups. Univariate analyses were also conducted with statistical parametric maps. Grey and white matter covariance patterns were identified that reliably discriminated between the groups with greater than 0.90 sensitivity and specificity. The identified patterns were similar for the univariate and multivariate techniques, and involved widespread regions of the cortex and subcortex. Age and the expression of both patterns were significantly associated with performance on tests of attention, language, memory, and executive functioning. The results suggest that identifiable networks of grey and white matter regions systematically decline with age and that pattern expression is linked to age-related cognitive decline.


Neurology | 2013

Impaired default network functional connectivity in autosomal dominant Alzheimer disease

Jasmeer P. Chhatwal; Aaron P. Schultz; Keith Johnson; Tammie L.S. Benzinger; Clifford R. Jack; Beau M. Ances; Caroline Sullivan; Stephen Salloway; John M. Ringman; Robert A. Koeppe; Daniel S. Marcus; Paul A. Thompson; Andrew J. Saykin; Stephen Correia; Peter R. Schofield; Christopher C. Rowe; Nick C. Fox; Adam M. Brickman; Richard Mayeux; Eric McDade; Randall J. Bateman; Anne M. Fagan; A. Goate; Chengjie Xiong; Virginia Buckles; John C. Morris; Reisa A. Sperling

Objective: To investigate default mode network (DMN) functional connectivity MRI (fcMRI) in a large cross-sectional cohort of subjects from families harboring pathogenic presenilin-1 (PSEN1), presenilin-2 (PSEN2), and amyloid precursor protein (APP) mutations participating in the Dominantly Inherited Alzheimer Network. Methods: Eighty-three mutation carriers and 37 asymptomatic noncarriers from the same families underwent fMRI during resting state at 8 centers in the United States, United Kingdom, and Australia. Using group-independent component analysis, fcMRI was compared using mutation status and Clinical Dementia Rating to stratify groups, and related to each participants estimated years from expected symptom onset (eYO). Results: We observed significantly decreased DMN fcMRI in mutation carriers with increasing Clinical Dementia Rating, most evident in the precuneus/posterior cingulate and parietal cortices (p < 0.001). Comparison of asymptomatic mutation carriers with noncarriers demonstrated decreased fcMRI in the precuneus/posterior cingulate (p = 0.014) and right parietal cortex (p = 0.0016). We observed a significant interaction between mutation carrier status and eYO, with decreases in DMN fcMRI observed as mutation carriers approached and surpassed their eYO. Conclusion: Functional disruption of the DMN occurs early in the course of autosomal dominant Alzheimer disease, beginning before clinically evident symptoms, and worsening with increased impairment. These findings suggest that DMN fcMRI may prove useful as a biomarker across a wide spectrum of disease, and support the feasibility of DMN fcMRI as a secondary endpoint in upcoming multicenter clinical trials in Alzheimer disease.


Annals of Neurology | 2011

Mediterranean Diet and Magnetic Resonance Imaging–Assessed Cerebrovascular Disease

Nikolaos Scarmeas; José A. Luchsinger; Yaakov Stern; Yian Gu; Jing He; Charles DeCarli; Truman Brown; Adam M. Brickman

Cerebrovascular disease is 1 of the possible mechanisms of the previously reported relationship between Mediterranean‐type diet (MeDi) and Alzheimers disease (AD). We sought to investigate the association between MeDi and MRI infarcts.


American Journal of Geriatric Psychiatry | 2011

Physical Activity and Alzheimer Disease Course

Nikolaos Scarmeas; José A. Luchsinger; Adam M. Brickman; Stephanie Cosentino; Nicole Schupf; Ming Xin-Tang; Yian Gu; Yaakov Stern

OBJECTIVESnTo examine the association between physical activity (PA) and Alzheimer disease (AD) course.nnnBACKGROUNDnPA has been related to lower risk for AD. Whether PA is associated with subsequent AD course has not been investigated.nnnMETHODSnIn a population-based study of individuals aged 65 years and older in New York who were prospectively followed up with standard neurologic and neuropsychological evaluations (every ~1.5 years), 357 participants i) were nondemented at baseline and ii) were diagnosed with AD during follow-up (incident AD). PA (sum of participation in a variety of physical activities, weighted by the type of activity [light, moderate, and severe]) obtained 2.4 (standard deviation [SD], 1.9) years before incidence was the main predictor of mortality in Cox models and of cognitive decline in generalized estimating equation models that were adjusted for age, gender, ethnicity, education, comorbidities, and duration between PA evaluation and dementia onset.nnnRESULTSnOne hundred fifty incident AD cases (54%) died during the course of 5.2 (SD, 4.4) years of follow-up. When compared with incident AD cases who were physically inactive, those with some PA had lower mortality risk, whereas incident AD participants with much PA had an even lower risk. Additional adjustments for apolipoprotein genotype, smoking, comorbidity index, and cognitive performance did not change the associations. PA did not affect rates of cognitive or functional decline.nnnCONCLUSIONnExercise may affect not only risk for AD but also subsequent disease duration: more PA is associated with prolonged survival in AD.


NeuroImage | 2015

Partial volume correction in quantitative amyloid imaging.

Yi Su; Tyler Blazey; Abraham Z. Snyder; Marcus E. Raichle; Daniel S. Marcus; Beau M. Ances; Randall J. Bateman; Nigel J. Cairns; Patricia Aldea; Lisa Cash; Jon Christensen; Karl A. Friedrichsen; Russ C. Hornbeck; Angela M. Farrar; Christopher J. Owen; Richard Mayeux; Adam M. Brickman; William E. Klunk; Julie C. Price; Paul M. Thompson; Bernardino Ghetti; Andrew J. Saykin; Reisa A. Sperling; Keith Johnson; Peter R. Schofield; Virginia Buckles; John C. Morris; Tammie L.S. Benzinger

Amyloid imaging is a valuable tool for research and diagnosis in dementing disorders. As positron emission tomography (PET) scanners have limited spatial resolution, measured signals are distorted by partial volume effects. Various techniques have been proposed for correcting partial volume effects, but there is no consensus as to whether these techniques are necessary in amyloid imaging, and, if so, how they should be implemented. We evaluated a two-component partial volume correction technique and a regional spread function technique using both simulated and human Pittsburgh compound B (PiB) PET imaging data. Both correction techniques compensated for partial volume effects and yielded improved detection of subtle changes in PiB retention. However, the regional spread function technique was more accurate in application to simulated data. Because PiB retention estimates depend on the correction technique, standardization is necessary to compare results across groups. Partial volume correction has sometimes been avoided because it increases the sensitivity to inaccuracy in image registration and segmentation. However, our results indicate that appropriate PVC may enhance our ability to detect changes in amyloid deposition.


Schizophrenia Research | 2004

Thalamus size and outcome in schizophrenia

Adam M. Brickman; Monte S. Buchsbaum; Lina Shihabuddin; William Byne; Randall E. Newmark; Jesse Brand; Shabeer Ahmed; Serge A. Mitelman; Erin A. Hazlett

The size of the thalamus was assessed in 106 patients with schizophrenia and 42 normal controls using high-resolution magnetic resonance imaging. The thalamus was traced at five axial levels proportionately spaced from dorsal to ventral directions. Patients with schizophrenia had significantly smaller thalamic areas at more ventral levels. Thalamic size was positively associated with frontal lobe and temporal lobe size. The effects were most marked in the patients with poorer clinical outcome (i.e., Kraepelinian patients). These findings are consistent with post-mortem and MRI measurement suggesting reduction in volume of the pulvinar, which occupies a large proportion of the ventral thalamus and which has prominent connections to the temporal lobe.


Journal of Clinical Neuroscience | 2006

Cognitive status of young and older cigarette smokers: Data from the international brain database

Robert H. Paul; Adam M. Brickman; Ronald A. Cohen; Leanne M. Williams; Raymond Niaura; Sakire Pogun; C. Richard Clark; John Gunstad; Evian Gordon

Previous studies that have examined the impact of cigarette smoking on cognition have revealed mixed results; some studies report no impact and others report detrimental effects, especially in older individuals. Few studies, however, have examined the effects of cigarette smoking on both young and old healthy individuals using highly robust and standardized methods of cognitive assessment. This study draws on an international database to contrast cognitive differences between younger and older individuals who regularly smoke cigarettes and non-smokers. Data were sampled from 1000 highly screened healthy individuals free of medical or psychiatric health complications. A cohort of 62 regular smokers (n = 45 < 45 years of age; n = 1745 years) with a Fagerstrom nicotine dependency score of 1 or more were identified and matched to a cohort of 62 healthy nonsmokers (n = 43 < 45 years; n = 1945 years) on demographic variables and estimated intelligence. Performances on cognitive measures of attention, reaction time, cognitive flexibility, psychomotor speed, and memory were considered for analysis. As a group, smokers performed more poorly than nonsmokers on one measure of executive function. A significant age and smoking status interaction was identified with older smokers performing more poorly than older nonsmokers and younger smokers on a measure of long-delayed recall of new information. Cigarette smoking is associated with isolated and subtle cognitive difficulties among very healthy individuals.


Neuropsychology (journal) | 2010

Do Neuropsychological Tests Have the Same Meaning in Spanish Speakers as They Do in English Speakers

Karen L. Siedlecki; Jennifer J. Manly; Adam M. Brickman; Nicole Schupf; Ming-Xin Tang; Yaakov Stern

OBJECTIVEnThe purpose of this study was to examine whether neuropsychological tests translated into Spanish measure the same cognitive constructs as the original English versions.nnnMETHODnOlder adult participants (N = 2,664), who did not exhibit dementia from the Washington Heights Inwood Columbia Aging Project (WHICAP), a community-based cohort from northern Manhattan, were evaluated with a comprehensive neuropsychological battery. The study cohort includes both English (n = 1,800) and Spanish speakers (n = 864) evaluated in their language of preference. Invariance analyses were conducted across language groups on a structural equation model comprising four neuropsychological factors (memory, language, visual-spatial ability, and processing speed).nnnRESULTSnThe results of the analyses indicated that the four-factor model exhibited partial measurement invariance, demonstrated by invariant factor structure and factor loadings but nonequivalent observed score intercepts.nnnCONCLUSIONnThe finding of invariant factor structure and factor loadings provides empirical evidence to support the implicit assumption that scores on neuropsychological tests are measuring equivalent psychological traits across these two language groups. At the structural level, the model exhibited invariant factor variances and covariances.


Cerebrovascular Diseases | 2005

Neuroimaging and Cardiac Correlates of Cognitive Function among Patients with Cardiac Disease

Robert H. Paul; John Gunstad; Athena Poppas; David F. Tate; Dan Foreman; Adam M. Brickman; Angela L. Jefferson; Karin F. Hoth; Ronald A. Cohen

In the present study, we examined the relationships between whole brain volume (WBV), subcortical hyperintensities (SH), indices of cardiac disease and cognitive function in nondemented cardiac patients with evidence of mild cerebrovascular disease. A total of 27 individuals with evidence of cardiac disease underwent neuropsychological examination, neuroimaging, and cardiac assessment. Cognition was assessed with the Dementia Rating Scale-2 (DRS). WBV and SH were quantified using a semi-automated thresholding program based on MRI. Correlational analyses revealed that WBV predicted performance on the overall DRS score, the attention subscale and the initiation/perseveration scale. SH were significantly associated with performance on the attention subscale, and the initiation/perseveration subscale. Regression analyses revealed that SH accounted for most of the variance in the initiation/perseveration scale, whereas WBV accounted for most of the variance in the attention scale. The only cardiac structural or functional variable related to the neurological indices was aortic diameter, which was strongly related to both neuroimaging variables, as well as performances on the DRS attention and initiation/perseveration subscales. Our results highlight the importance of overall brain parenchyma in determining cognitive status among patients at risk for cognitive decline and suggest that select indices of structural cardiac morphology may be related to the early phases of cerebrovascular disease and cognitive status.

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Richard Mayeux

Columbia University Medical Center

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Yaakov Stern

Columbia University Medical Center

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Nikolaos Scarmeas

National and Kapodistrian University of Athens

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Jennifer J. Manly

Columbia University Medical Center

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John C. Morris

Washington University in St. Louis

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