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  • 1
    In: The Journals of Gerontology: Series B, Oxford University Press (OUP), Vol. 76, No. 6 ( 2021-06-14), p. 1071-1076
    Abstract: A lack of “morningness” predicts greater depression symptom severity over time, including in a vulnerable group of older adults: family dementia caregivers (dCGs). Evidence regarding the neurobiological basis of these correlations is needed to guide future research towards biomarker-informed detection and prevention approaches. We therefore primarily aimed to identify simple resting-state biomarkers that correlated with a lack of “morningness” in dCGs. Method We examined 54 dCGs (mean age = 70, range: 61–84; 70% female) of whom 40% were definite “morning types” according to Composite Scale of Morningness (CSM). Using a 7 Tesla resting-state sequence, we compared the functional connectivity of nodes in networks previously implicated in depression (fronto-parietal, default mode, limbic, and salience) between caregivers who were and were not “morning types.” Results Correcting for voxel-wise comparisons, “morning-type” dCGs had less amygdala–posterior cingulate connectivity (Cohen’s d = −1.3), which statistically mediated ~32% of the association between the degree of “morningness” and lower depression severity. Post hoc analyses of CSM items found significant correlations, with both amygdala–posterior cingulate FC and depression severity, for 4/6 items pertaining to difficulty, 2/5 items pertaining to preference, and 0/2 items pertaining to typical patterns. Discussion Prior research shows that amygdala–posterior cingulate connectivity increases when allocating attention to peripheral aspects of negative emotional stimuli. As such, difficulty with morning activation may relate to the ongoing direction of focus around distressing content; in contrast, morning activity participation may serve to limit focus on distress. Replication and experimental studies are required to confirm these associations and their modifiability.
    Type of Medium: Online Resource
    ISSN: 1079-5014 , 1758-5368
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
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  • 2
    In: Annals of Clinical and Translational Neurology, Wiley, Vol. 10, No. 6 ( 2023-06), p. 990-1001
    Abstract: Neurodegenerative conditions often manifest radiologically with the appearance of premature aging. Multiple sclerosis (MS) biomarkers related to lesion burden are well developed, but measures of neurodegeneration are less well‐developed. The appearance of premature aging quantified by machine learning applied to structural MRI assesses neurodegenerative pathology. We assess the explanatory and predictive power of “brain age” analysis on disability in MS using a large, real‐world dataset. Methods Brain age analysis is predicated on the over‐estimation of predicted brain age in patients with more advanced pathology. We compared the performance of three brain age algorithms in a large, longitudinal dataset ( 〉 13,000 imaging sessions from 〉 6,000 individual MS patients). Effects of MS, MS disease course, disability, lesion burden, and DMT efficacy were assessed using linear mixed effects models. Results MS was associated with advanced predicted brain age cross‐sectionally and accelerated brain aging longitudinally in all techniques. While MS disease course (relapsing vs. progressive) did contribute to advanced brain age, disability was the primary correlate of advanced brain age. We found that advanced brain age at study enrollment predicted more disability accumulation longitudinally. Lastly, a more youthful appearing brain (predicted brain age less than actual age) was associated with decreased disability. Interpretation Brain age is a technically tractable and clinically relevant biomarker of disease pathology that correlates with and predicts increasing disability in MS. Advanced brain age predicts future disability accumulation.
    Type of Medium: Online Resource
    ISSN: 2328-9503 , 2328-9503
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
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  • 3
    In: Anesthesiology, Ovid Technologies (Wolters Kluwer Health), Vol. 135, No. 1 ( 2021-07-01), p. 69-82
    Abstract: Despite the well-known clinical effects of midazolam and ketamine, including sedation and memory impairment, the neural mechanisms of these distinct drugs in humans are incompletely understood. The authors hypothesized that both drugs would decrease recollection memory, task-related brain activity, and long-range connectivity between components of the brain systems for memory encoding, pain processing, and fear learning. Methods In this randomized within-subject crossover study of 26 healthy adults, the authors used behavioral measures and functional magnetic resonance imaging to study these two anesthetics, at sedative doses, in an experimental memory paradigm using periodic pain. The primary outcome, recollection memory performance, was quantified with d′ (a difference of z scores between successful recognition versus false identifications). Secondary outcomes were familiarity memory performance, serial task response times, task-related brain responses, and underlying brain connectivity from 17 preselected anatomical seed regions. All measures were determined under saline and steady-state concentrations of the drugs. Results Recollection memory was reduced under midazolam (median [95% CI], d′ = 0.73 [0.43 to 1.02] ) compared with saline (d′ = 1.78 [1.61 to 1.96]) and ketamine (d′ = 1.55 [1.12 to 1.97] ; P & lt; 0.0001). Task-related brain activity was detected under saline in areas involved in memory, pain, and fear, particularly the hippocampus, insula, and amygdala. Compared with saline, midazolam increased functional connectivity to 20 brain areas and decreased to 8, from seed regions in the precuneus, posterior cingulate, and left insula. Compared with saline, ketamine decreased connectivity to 17 brain areas and increased to 2, from 8 seed regions including the hippocampus, parahippocampus, amygdala, and anterior and primary somatosensory cortex. Conclusions Painful stimulation during light sedation with midazolam, but not ketamine, can be accompanied by increased coherence in brain connectivity, even though details are less likely to be recollected as explicit memories. Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New
    Type of Medium: Online Resource
    ISSN: 0003-3022 , 1528-1175
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Translational Psychiatry Vol. 11, No. 1 ( 2021-10-28)
    In: Translational Psychiatry, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-10-28)
    Abstract: Severe worry is a complex transdiagnostic phenotype independently associated with increased morbidity, including cognitive impairment and cardiovascular diseases. We investigated the neurobiological basis of worry in older adults by analyzing resting state fMRI using a large-scale network-based approach. We collected resting fMRI on 77 participants ( 〉 50 years old) with varying worry severity. We computed region-wise connectivity across the default mode network (DMN), anterior salience network, and left executive control network. All 22,366 correlations were regressed on worry severity and adjusted for age, sex, race, education, disease burden, depression, anxiety, rumination, and neuroticism. We employed higher criticism, a second-level method of significance testing for rare and weak features, to reveal the functional connectivity patterns associated with worry. The analysis suggests that worry has a complex, yet distinct signature associated with resting state functional connectivity. Intra-connectivities and inter-connectivities of the DMN comprise the dominant contribution. The anterior cingulate, temporal lobe, and thalamus are heavily represented with overwhelmingly negative association with worry. The prefrontal regions are also strongly represented with a mix of positive and negative associations with worry. Identifying the most salient connections may be useful for targeted interventions for reducing morbidity associated with severe worry in older adults.
    Type of Medium: Online Resource
    ISSN: 2158-3188
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 5
    In: Alzheimer's & Dementia, Wiley, Vol. 19, No. S24 ( 2023-12)
    Abstract: Alzheimer’s disease (AD) is characterized by amyloid beta plaques and tau‐containing neurofibrillary tangles with disrupted (high and low) resting state hippocampal connectivity. One potential factor that may underlie these differences is that early stages of disease may contribute to greater connectivity and later stages may contribute to lower connectivity (i.e., quadratic associations between amyloid/tau and connectivity). Early stages may be associated with greater recruitment of intranetwork connectivity to compensate, which fails at later stages. Late stages may be associated with greater recruitment of internetwork connectivity, that fails in advanced cognitive impairment. Understanding these dynamics may help us understand resilience to amyloid and tau in cognitively unimpaired individuals. Method We recruited 115 adults 〉 65 years old (67‐96, mean 76years) from a population‐based study into a neuroimaging sub‐study. The study area is a formerly heavy manufacturing industrial small‐town area. Participants (106 (92%) CU with CDR = 0) underwent PET imaging for amyloid (PiB) and tau (AV‐1451) and global SUVR measures were computed after appropriate preprocessing. Participants underwent resting state fMRI and hippocampal connectivity was computed for the left/right and anterior/posterior hippocampus. Regression analyses between connectivity and both linear and quadratic terms for amyloid and tau were adjusted for age, sex, race, and education. We adjusted for multiple comparisons using SnPM with FWE correction with α = 0.05 (p‐value threshold of 0.001). Result We found a negative quadratic association between left anterior hippocampus with default mode network (DMN) including the posterior cingulate and supramarginal gyrus, where greater amyloid and lower amyloid was associated with low connectivity. Similar effects were found for the right anterior hippocampus. Right anterior hippocampus to cuneus connectivity shows positive U‐shape with amyloid but negative linear relationship with tau. Greater right anterior hippocampus‐inferior parietal and right posterior hippocampus‐inferior temporal connectivity was associated with greater tau. Left posterior hippocampus to left middle temporal showed negative U‐shape with tau. Conclusion Amyloid and tau showed complex inverse U‐shaped associations between heightened intranetwork connectivity and moderate amyloid/tau, but low connectivity with higher severity. Internetwork connectivity was heightened with greater tau. These may reflect altered connectivity due to changes in amyloid and tau in older adults without dementia.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
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  • 6
    In: Brain Sciences, MDPI AG, Vol. 14, No. 6 ( 2024-05-24), p. 532-
    Abstract: Accelerated brain aging is a possible mechanism of pathology in schizophrenia. Advances in MRI-based brain development algorithms allow for the calculation of predicted brain age (PBA) for individuals. Here, we assessed PBA in 70 first-episode schizophrenia-spectrum individuals (FESz) and 76 matched healthy neurotypical comparison individuals (HC) to determine if FESz showed advanced aging proximal to psychosis onset and whether PBA was associated with neurocognitive, social functioning, or symptom severity measures. PBA was calculated with BrainAgeR (v2.1) from T1-weighted MR scans. There were no differences in the PBAs between groups. After controlling for actual age, a “younger” PBA was associated with higher vocabulary scores among all individuals, while an “older” PBA was associated with more severe negative symptom “Inexpressivity” component scores among FESz. Female participants in both groups had an elevated PBA relative to male participants. These results suggest that a relatively younger brain age is associated with a better semantic memory performance. There is no evidence for accelerated aging in FESz with a late adolescent/early adult onset. Despite a normative PBA, FESz with a greater residual PBA showed impairments in a cluster of negative symptoms, which may indicate some underlying age-related pathology proximal to psychosis onset. Although a period of accelerated aging cannot be ruled out with disease course, it does not occur at the time of the first episode.
    Type of Medium: Online Resource
    ISSN: 2076-3425
    Language: English
    Publisher: MDPI AG
    Publication Date: 2024
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  • 7
    In: Journal of Psychiatric Research, Elsevier BV, Vol. 161 ( 2023-05), p. 324-332
    Type of Medium: Online Resource
    ISSN: 0022-3956
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
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  • 8
    In: International Journal of Geriatric Psychiatry, Wiley, Vol. 32, No. 12 ( 2017-12), p. 1226-1232
    Abstract: Eotaxin is a chemokine that exerts negative effects on neurogenesis. We recently showed that peripheral eotaxin levels correlate with both lower gray matter volume and poorer executive performance in older adults with major depressive disorder. These findings suggest that the relationship between eotaxin and set‐shifting may be accounted for by lower gray matter volume in specific regions. Prior studies have identified specific gray matter regions that correlate with set‐shifting performance, but have not examined whether these specific gray matter regions mediate the cross‐sectional association between eotaxin and set‐shifting. Method In 27 older adults (mean age: 68 ± 5.2 years) with major depressive disorder, we performed a whole brain (voxel‐wise) analysis testing whether/where gray matter density statistically mediates the cross‐sectional association of eotaxin and set‐shifting performance. Results We found the association between eotaxin and set‐shifting performance was fully statistically mediated by lower gray matter density in left middle cingulate, right pre‐/post‐central, lingual, inferior/superior frontal, cuneus, and middle temporal regions. Conclusion The regions identified above may be both susceptible to a potential neurodegenerative effect of eotaxin, and critical to preserving set‐shifting function. Longitudinal and intervention studies are needed to further evaluate whether targeting eotaxin levels will prevent neurodegeneration and executive impairment in older adults with depression. Copyright © 2016 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 0885-6230 , 1099-1166
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2017
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  • 9
    In: International Journal of Geriatric Psychiatry, Wiley, Vol. 35, No. 2 ( 2020-02), p. 147-152
    Abstract: More than half of patients with major depression who do not respond to initial antidepressants become treatment resistant (TRD), and while electroconvulsive therapy (ECT) is effective, it involves anesthesia and other medical risks that are of concern in geriatric patients. Past studies have suggested that theta cordance (TC), a correlate of cerebral metabolism measured by electroencephalography, could guide treatment decisions related to patient selection and engagement of the therapeutic target. Methods/Design Eight patients with late‐life treatment resistant depression (LL‐TRD) underwent magnetoencephalography (MEG) at baseline and following seven sessions of ECT. We tested whether the mean and regional frontal cortex TC were able to differentiate early responders from nonresponders. Results Five patients whose depression severity decreased by 〉 30% after seven sessions were considered early responders. We found no baseline differences in mean frontal TC between early responders compared with nonresponders, but early responders exhibited a significant increase in TC following ECT. Further, we found that compared with nonresponders, early responders exhibited a greater change in TC specifically within the right prefrontal cortex. Conclusions These results support the hypothesis that increases in frontal TC are associated with antidepressant response. We expand on previous findings by showing that this change is specific to the right prefrontal cortex. Validation of this neural marker could contribute to improved ECT outcomes, by informing early clinical decisions about the acute efficacy of this treatment.
    Type of Medium: Online Resource
    ISSN: 0885-6230 , 1099-1166
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
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  • 10
    In: Neurobiology of Aging, Elsevier BV, Vol. 76 ( 2019-04), p. 141-150
    Type of Medium: Online Resource
    ISSN: 0197-4580
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
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    SSG: 12
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