Publications by authors named "Lauren Oberlin"

Objective: Age-related hippocampal atrophy is associated with memory loss in older adults, and certain hippocampal subfields are more vulnerable to age-related atrophy than others. Cardiorespiratory fitness (CRF) may be an important protective factor for preserving hippocampal volume, but little is known about how CRF relates to the volume of specific hippocampal subfields, and whether associations between CRF and hippocampal subfield volumes are related to episodic memory performance. To address these gaps, the current study evaluates the associations among baseline CRF, hippocampal subfield volumes, and episodic memory performance in cognitively unimpaired older adults from the Investigating Gains in Neurocognition Trial of Exercise (IGNITE) (NCT02875301).

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Diffusion-weighted imaging (DWI) has been frequently used to examine age-related deterioration of white matter microstructure and its relationship to cognitive decline. However, typical tensor-based analytical approaches are often difficult to interpret due to the challenge of decomposing and (mis)interpreting the impact of crossing fibers within a voxel. We hypothesized that a novel analytical approach capable of resolving fiber-specific changes within each voxel (i.

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Objectives: To evaluate the association between cardiorespiratory fitness (CRF) and cognition in a large sample of older adults, and to examine clinical and demographic factors that might moderate these associations.

Methods: CRF was measured with a graded exercise test performed on a motorised treadmill. A confirmatory factor analysis was conducted using data from a comprehensive neuropsychological battery to obtain latent factors reflecting core cognitive domains.

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Introduction: Blood-based biomarkers (BBMs) can enable early detection of brain amyloid beta (Aβ) pathology in cognitively unimpaired individuals. However, the extent to which common medical conditions affect biomarker performance remains unclear.

Methods: Participants (n = 348) included individuals without cognitive impairment.

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Post-COVID-19 cognitive deficits are common, persistent, and disabling. Evidence on effective treatments is limited. The goal of this study was to investigate the efficacy of a digital intervention to reduce cognitive and functional deficits in adults with persistent post-COVID-19 cognitive dysfunction.

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Background: Repetitive negative thinking (RNT) is a transdiagnostic process involving perseverative, unproductive, and uncontrollable thoughts. Although RNT may impede adaptive psychosocial functioning by prolonging negative mood states, strengthening cognitive biases, and preventing effective problem-solving, the extent to which RNT is associated with risk for poor psychosocial outcomes is unclear. Given that this has clear transdiagnostic treatment implications, the present study aimed to isolate the unique relationship of RNT with social functioning and life satisfaction in a mixed clinical and non-clinical sample.

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Background: Treatment resistant depression (TRD) is a subset of major depressive disorder (MDD) in which symptoms do not respond to front line therapies. In older adults, the assessment and treatment of TRD is complicated by psychosocial risk factors unique to this population, as well as a relative paucity of research.

Methods: Narrative review aimed at (1) defining TRLLD for clinical practice and research; (2) describing psychosocial risk factors; (3) reviewing psychological and non-pharmacological treatments; (4) discussing the role of clinical phenotyping for personalized treatment; and (5) outlining research priorities.

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Importance: The frequent occurrence of cognitive symptoms in post-COVID-19 condition has been described, but the nature of these symptoms and their demographic and functional factors are not well characterized in generalizable populations.

Objective: To investigate the prevalence of self-reported cognitive symptoms in post-COVID-19 condition, in comparison with individuals with prior acute SARS-CoV-2 infection who did not develop post-COVID-19 condition, and their association with other individual features, including depressive symptoms and functional status.

Design, Setting, And Participants: Two waves of a 50-state nonprobability population-based internet survey conducted between December 22, 2022, and May 5, 2023.

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Importance: Apathy is prevalent among individuals with late-life depression and is associated with poor response to pharmacotherapy, including chronicity and disability. Elucidating brain networks associated with apathy and poor treatment outcomes can inform intervention development.

Objectives: To assess the brain network features of apathy among individuals with late-life depression and identify brain network abnormalities associated with poor antidepressant response.

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Purpose Of Review: We review recent work on applications of non-pharmacologic strategies to promote cognitive health in older adulthood and discuss potential network mechanisms, limitations, and considerations for improving intervention uptake and efficacy.

Recent Findings: In healthy older adults and patients with mild cognitive impairment, cognitive training produces global and domain-specific cognitive gains, though effect sizes tend to be modest and transfer is variable. Non-invasive brain stimulation has shown moderate success in enhancing cognitive function, though the optimum approach, parameters, and cortical targets require further investigation.

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Article Synopsis
  • Schizophrenia is characterized as a disorder of dysconnectivity, with neuroimaging studies analyzing structural and functional connections, though rarely combining both.
  • In a study involving 29 patients with schizophrenia and 25 healthy controls, researchers used fMRI and diffusion tensor imaging to assess connectivity in the default mode network, finding consistent tracts among nine region pairs.
  • The study revealed correlations in multimodal connectivity scores with symptoms of schizophrenia, indicating that higher connectivity may relate to externalizing behaviors while lower connectivity is associated with psychosis, highlighting the value of integrating structural and functional imaging to understand the disorder's network mechanisms.
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In the midst of the Spring 2020 initial surge of the COVID-19 pandemic in New York, members of the Psychiatry Department of Weill Cornell Medicine/NewYork-Presbyterian Hospital rapidly created and implemented a brief, behavioral skills-based intervention program, "CopeNYP", to address the immediate mental health needs of the employees of the hospital and medical school. We describe the development, implementation and evolution of this telehealth-delivered program staffed primarily by in-house clinical psychologists, postdoctoral fellows, pre-doctoral interns and counselors who were redeployed or volunteered their time to provide urgent support for employees. We discuss the challenges and lessons learned in providing brief, skills-based psychological interventions for employees subjected to chronic stress.

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Objective: White matter hyperintensities (WMH) are linked to deficits in cognitive functioning, including cognitive control and memory; however, the structural, and functional mechanisms are largely unknown. We investigated the relationship between estimated regional disruptions to white matter fiber tracts from WMH, resting state functional connectivity (RSFC), and cognitive functions in older adults.

Design: Cross-sectional study.

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Purpose Of Review: COVID-19 impacts multiple organ systems and is associated with high rates of morbidity and mortality. Pathogenesis of viral infection, co-morbidities, medical treatments, and psychosocial factors may contribute to COVID-19 related neuropsychological and psychiatric sequelae. This systematic review aims to synthesize available literature on psychiatric and cognitive characteristics of community-dwelling survivors of COVID-19 infection.

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Late-life depression (LLD) is a particularly debilitating illness. Older adults suffering from depression commonly experience poor outcomes in response to antidepressant treatments, medical comorbidities, and declines in daily functioning. This review aims to further our understanding of the brain network dysfunctions underlying LLD that contribute to disrupted cognitive and affective processes and corresponding clinical manifestations.

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Introduction: Systemic inflammation has been increasingly implicated in the pathogenesis of Alzheimer's disease (AD), yet the mechanistic and temporal specificity of this relationship is poorly understood. We aimed to characterize the cross-sectional and longitudinal associations between peripheral inflammatory biomarkers, cognition, and Aβ deposition in oldest-old cognitively unimpaired (CU) adults.

Methods: A large sample of 139 CU older adults (mean age (range) = 85.

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Neuroimaging features of small vessel disease (SVD) are highly prevalent in older adulthood and associated with significant variability in clinical symptoms, yet the factors predicting these symptom disparities are poorly understood. We employed a novel metric of SVD, peak width of skeletonized mean diffusivity (PSMD), to elucidate the relationship of late-life depression (LLD) to the cognitive presentation of vascular pathology. A total of 109 older adults without a diagnosis of a neurocognitive disorder were enrolled in the study; 44 with major depressive disorder and 65 age-matched controls.

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Less than 40% of depressed older adults treated with an antidepressant achieve remission. Incomplete response to treatment is common. Current augmentation strategies have limited efficacy, and many have side effects that restrict their utilization in older adults.

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Objective: Apathy is common in late-life depression and is associated with poor response to antidepressant drugs. In depressed older adults, apathy may be characterized by neuroanatomical abnormalities of the salience network. The current study examined whether cortical thickness of select salience network structures predicted change in apathy following a 12-week treatment with escitalopram.

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Article Synopsis
  • Problem solving therapy (PST) and "Engage," a reward-based therapy, are effective treatments for late-life depression, which often sees limited success with antidepressants.
  • A study involving 32 older adults analyzed the resting state functional connectivity (rsFC) of brain areas associated with reward and depression before and after treatment.
  • Findings indicated that higher rsFC between specific brain regions (sgACC and middle temporal gyrus) at baseline predicted better depression outcomes, while changes in connectivity were linked to improvements in behavioral activation specifically in the "Engage" therapy group.
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Objective: Poststroke depression (PSD) has a heterogeneous presentation and is often accompanied by cognitive impairment. This study aimed to identify distinct dimensions of depressive symptoms in older adults with PSD and to evaluate their relationship to cognitive functioning.

Design: Cross-sectional factor and correlational analyses of patients with poststroke depression.

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Technology-assisted cognitive-behavioral therapy (CBT) interventions have been conducted for symptoms including depression, pain, and fatigue in patients with chronic illnesses but not in end-stage renal disease (ESRD). The purpose of this study was to pilot the feasibility and acceptability of a technology-assisted CBT intervention in ESRD patients on hemodialysis (HD), share design and implementation lessons learned, and provide preliminary results on changes in select patient-reported symptoms. This was a single-center pilot feasibility study of adult ESRD patients on HD.

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