Author name cluster

Ian M. McDonough

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

5 papers

1 author row

YNIMG Journal 2022 Journal Article

Impact of stereotype threat on brain activity during memory tasks in older adults

Yung-Tsen Chen
Ian M. McDonough
Kelly E. Faig
Greg J. Norman
David A. Gallo

We report the first neuroimaging experiment to investigate the impact of explicitly activating aging stereotypes (i.e., stereotype threat) on brain activity during cognitive tasks. Cognitively normal older adults read about aging stereotypes or a control passage prior to taking episodic memory, working memory, and a non-demanding control task during fMRI. At the group level, stereotype activation did not impact cognitive performance or measures sensitive to stress and anxiety (physiological or self-report), but like prior work, highly educated and retired adults exhibited greater stereotype effects on episodic memory. At the neural level, stereotype activation did not impact brain activity in executive control or emotional regulation regions previously linked to stereotype threat effects in younger adults, suggesting that stereotype threat operates differently in older adults. Instead, on each task, the stereotype group showed more brain activity than the control group in parietal midline regions (e.g., precuneus, posterior cingulate). Although activity in these regions can arise from many processes, they have previously been associated with self-referential thinking and error-prevention focus, and in our study, brain activity in these regions was associated with slower responses and lower false alarm errors on the episodic memory task. Collectively, these findings are more consistent with the regulatory fit hypothesis than an executive control interference hypothesis of stereotype threat effects in older adults, whereby older adults adopt an error-prevention mindset in response to explicit stereotype threat.

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YNIMG Journal 2018 Journal Article

Mindcontrol: A web application for brain segmentation quality control

Anisha Keshavan
Esha Datta
Ian M. McDonough
Christopher R. Madan
Kesshi Jordan
Roland G. Henry

Tissue classification plays a crucial role in the investigation of normal neural development, brain-behavior relationships, and the disease mechanisms of many psychiatric and neurological illnesses. Ensuring the accuracy of tissue classification is important for quality research and, in particular, the translation of imaging biomarkers to clinical practice. Assessment with the human eye is vital to correct various errors inherent to all currently available segmentation algorithms. Manual quality assurance becomes methodologically difficult at a large scale - a problem of increasing importance as the number of data sets is on the rise. To make this process more efficient, we have developed Mindcontrol, an open-source web application for the collaborative quality control of neuroimaging processing outputs. The Mindcontrol platform consists of a dashboard to organize data, descriptive visualizations to explore the data, an imaging viewer, and an in-browser annotation and editing toolbox for data curation and quality control. Mindcontrol is flexible and can be configured for the outputs of any software package in any data organization structure. Example configurations for three large, open-source datasets are presented: the 1000 Functional Connectomes Project (FCP), the Consortium for Reliability and Reproducibility (CoRR), and the Autism Brain Imaging Data Exchange (ABIDE) Collection. These demo applications link descriptive quality control metrics, regional brain volumes, and thickness scalars to a 3D imaging viewer and editing module, resulting in an easy-to-implement quality control protocol that can be scaled for any size and complexity of study.

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YNICL Journal 2017 Journal Article

Beta-amyloid and Cortical Thickness Reveal Racial Disparities in Preclinical Alzheimer's Disease

Ian M. McDonough

African Americans are two to four times more likely to develop dementia as Non-Hispanic Whites. This increased risk among African Americans represents a critical health disparity that affects nearly 43 million Americans. The present study tested the hypothesis that older African Americans with elevated beta-amyloid would show greater neurodegeneration (smaller hippocampal volumes and decreased cortical thickness) than older Non-Hispanic Whites with elevated beta-amyloid. Data from the Harvard Aging Brain Study (HABS) were used to form a group of older African Americans and two matched groups of Non-Hispanic White adults. Amyloid-positive African Americans had decreased cortical thickness in most of the Alzheimer's disease (AD) signature regions compared with amyloid-positive Non-Hispanic Whites. This factor was negatively correlated with age and white matter hypointensities. Using support vector regression, we also found some evidence that African Americans have an older “brain age” than Non-Hispanic Whites. These findings suggest that African Americans might be more susceptible to factors causing neurodegeneration, which then might accelerate the rate of a diagnosis of AD. Keywords: Alzheimer's disease, Amyloid, Cortical thickness, Health disparities, Minority health, MRI

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YNICL Journal 2016 Journal Article

Cortical amyloid burden and age moderate hippocampal activity in cognitively-normal adults

Zhuang Song
Ian M. McDonough
Peiying Liu
Hanzhang Lu
Denise C. Park

Neurodegeneration in the medial temporal lobe, particularly in the hippocampus, is viewed as the primary source of AD-related memory deficits. Yet, in the earliest preclinical phase of Alzheimer's disease (AD), amyloid-beta (Aβ) plaques deposit primarily in the neocortex, not in the medial temporal lobe. Tau tangles, however, do often aggregate in the medial temporal lobe in parallel with amyloid deposition in the neocortex in AD. In the present study, we focused on the relationship between cortical amyloid deposition and hippocampal activity during a memory-encoding task in a sample of cognitively-normal elderly aged 60-89. We hypothesized that age would moderate the Aβ effect on hippocampal activity, and could explain some of the mixed findings in the literature. We report that high cortical Aβ load was associated with lower task-related hippocampal activity during memory encoding. Importantly, this relationship was found more evident in the younger elderly, even after controlling for subsequent recognition memory of the in-scanner task and a general episodic memory construct score. Furthermore, regional cerebrovascular reactivity measured in a subset of participants showed little role in modifying the age-dependent Aβ effect on hippocampal activity. Our findings support the idea that age is an important variable in understanding hippocampal function in preclinical AD.

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YNIMG Journal 2014 Journal Article

Memory's aging echo: Age-related decline in neural reactivation of perceptual details during recollection

Ian M. McDonough
Sasha N. Cervantes
Stephen J. Gray
David A. Gallo

Episodic memory decline is a hallmark of normal cognitive aging. Here, we report the first event-related fMRI study to directly investigate age differences in the neural reactivation of qualitatively rich perceptual details during recollection. Younger and older adults studied pictures of complex scenes at different presentation durations along with descriptive verbal labels, and these labels subsequently were used during fMRI scanning to cue picture recollections of varying perceptual detail. As expected from prior behavioral work, the two age groups subjectively rated their recollections as containing similar amounts of perceptual detail, despite objectively measured recollection impairment in older adults. In both age groups, comparisons of retrieval trials that varied in recollected detail revealed robust activity in brain regions previously linked to recollection, including hippocampus and both medial and lateral regions of the prefrontal and posterior parietal cortex. Critically, this analysis also revealed recollection-related activity in visual processing regions that were active in an independent picture-perception task, and these regions showed age-related reductions in activity during recollection that cannot be attributed to age differences in response criteria. These fMRI findings provide new evidence that aging reduces the absolute quantity of perceptual details that are reactivated from memory, and they help to explain why aging reduces the reliability of subjective memory judgments.

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