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  1. Article: Mindfulness-Enhanced Computerized Cognitive Training for Depression: An Integrative Review and Proposed Model Targeting the Cognitive Control and Default-Mode Networks.

    Bursky, Mikell / Egglefield, Dakota A / Schiff, Sophie G / Premnath, Pranitha / Sneed, Joel R

    Brain sciences

    2022  Volume 12, Issue 5

    Abstract: Depression is often associated with co-occurring neurocognitive deficits in executive function (EF), processing speed (PS) and emotion regulation (ER), which impact treatment response. Cognitive training targeting these capacities results in improved ... ...

    Abstract Depression is often associated with co-occurring neurocognitive deficits in executive function (EF), processing speed (PS) and emotion regulation (ER), which impact treatment response. Cognitive training targeting these capacities results in improved cognitive function and mood, demonstrating the relationship between cognition and affect, and shedding light on novel targets for cognitive-focused interventions. Computerized cognitive training (CCT) is one such new intervention, with evidence suggesting it may be effective as an adjunct treatment for depression. Parallel research suggests that mindfulness training improves depression via enhanced ER and augmentation of self-referential processes. CCT and mindfulness training both act on anti-correlated neural networks involved in EF and ER that are often dysregulated in depression-the cognitive control network (CCN) and default-mode network (DMN). After practicing CCT or mindfulness, downregulation of DMN activity and upregulation of CCN activity have been observed, associated with improvements in depression and cognition. As CCT is posited to improve depression via enhanced cognitive function and mindfulness via enhanced ER ability, the combination of both forms of training into mindfulness-enhanced CCT (MCCT) may act to improve depression more rapidly. MCCT is a biologically plausible adjunct intervention and theoretical model with the potential to further elucidate and target the causal mechanisms implicated in depressive symptomatology. As the combination of CCT and mindfulness has not yet been fully explored, this is an intriguing new frontier. The aims of this integrative review article are four-fold: (1) to briefly review the current evidence supporting the efficacy of CCT and mindfulness in improving depression; (2) to discuss the interrelated neural networks involved in depression, CCT and mindfulness; (3) to present a theoretical model demonstrating how MCCT may act to target these neural mechanisms; (4) to propose and discuss future directions for MCCT research for depression.
    Language English
    Publishing date 2022-05-19
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci12050663
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients.

    Egglefield, Dakota A / Schiff, Sophie / Motter, Jeffrey N / Grinberg, Alice / Rutherford, Bret R / Sneed, Joel R

    Frontiers in psychiatry

    2021  Volume 12, Page(s) 697489

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-07-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2021.697489
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Corrigendum to "Association of White Matter Integrity with Executive Function and Antidepressant Treatment Outcome in Patients with Late-Life Depression" [The American Journal of Geriatric Psychiatry 29 (2021) 1188-1198].

    He, Xiaofu / Pueraro, Elena / Kim, Yoojean / Garcia, Carolina Montes / Maas, Ben / Choi, Jongwoo / Egglefield, Dakota A / Schiff, Sophie / Sneed, Joel / Brown, Patrick J / Brickman, Adam / Roose, Steven P / Rutherford, Bret R

    The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry

    2022  Volume 31, Issue 1, Page(s) 76–77

    Language English
    Publishing date 2022-09-28
    Publishing country England
    Document type Published Erratum
    ZDB-ID 1278145-9
    ISSN 1545-7214 ; 1064-7481
    ISSN (online) 1545-7214
    ISSN 1064-7481
    DOI 10.1016/j.jagp.2022.09.007
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  4. Article: Vascular depression for radiology: A review of the construct, methodology, and diagnosis.

    Rushia, Sara N / Shehab, Al Amira Safa / Motter, Jeffrey N / Egglefield, Dakota A / Schiff, Sophie / Sneed, Joel R / Garcon, Ernst

    World journal of radiology

    2020  Volume 12, Issue 5, Page(s) 48–67

    Abstract: Vascular depression (VD) as defined by magnetic resonance imaging (MRI) has been proposed as a unique subtype of late-life depression. The VD hypothesis posits that cerebrovascular disease, as characterized by the presence of MRI-defined white matter ... ...

    Abstract Vascular depression (VD) as defined by magnetic resonance imaging (MRI) has been proposed as a unique subtype of late-life depression. The VD hypothesis posits that cerebrovascular disease, as characterized by the presence of MRI-defined white matter hyperintensities, contributes to and increases the risk for depression in older adults. VD is also accompanied by cognitive impairment and poor antidepressant treatment response. The VD diagnosis relies on MRI findings and yet this clinical entity is largely unfamiliar to neuroradiologists and is rarely, if ever, discussed in radiology journals. The primary purpose of this review is to introduce the MRI-defined VD construct to the neuroradiology community. Case reports are highlighted in order to illustrate the profile of VD in terms of radiological, clinical, and neuropsychological findings. A secondary purpose is to elucidate and elaborate on the measurement of cerebrovascular disease through visual rating scales and semi- and fully-automated volumetric methods. These methods are crucial for determining whether lesion burden or lesion severity is the dominant pathological contributor to VD. Additionally, these rating methods have implications for the growing field of computer assisted diagnosis. Since VD has been found to have a profile that is distinct from other types of late-life depression, neuroradiologists, in conjunction with psychiatrists and psychologists, should consider VD in diagnosis and treatment planning.
    Language English
    Publishing date 2020-05-19
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2573705-3
    ISSN 1949-8470
    ISSN 1949-8470
    DOI 10.4329/wjr.v12.i5.48
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Association of White Matter Integrity With Executive Function and Antidepressant Treatment Outcome in Patients With Late-Life Depression.

    He, Xiaofu / Pueraro, Elena / Kim, Yoojean / Garcia, Carolina Montes / Maas, Ben / Choi, Jongwoo / Egglefield, Dakota A / Schiff, Sophie / Sneed, Joel R / Brown, Patrick J / Brickman, Adam M / Roose, Steven P / Rutherford, Bret R

    The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry

    2021  Volume 29, Issue 12, Page(s) 1188–1198

    Abstract: Objective: While patients with late-life depression (LLD) often exhibit microstructural white matter alterations that can be identified with diffusion tensor imaging (DTI), there is a dearth of information concerning the links between DTI findings and ... ...

    Abstract Objective: While patients with late-life depression (LLD) often exhibit microstructural white matter alterations that can be identified with diffusion tensor imaging (DTI), there is a dearth of information concerning the links between DTI findings and specific cognitive performance, as well as between DTI measures and antidepressant treatment outcomes.
    Design: Neuroimaging and cognitive tests were conducted at baseline in 71 older adults participating in a larger, 8-week duration antidepressant randomized controlled trial. Correlations between DTI measures of white matter integrity evaluated with tract-based spatial statistics, baseline neurocognitive performance, and prospective antidepressant treatment outcome were evaluated.
    Results: Fractional anisotropy (FA), an index of white matter integrity, was significantly positively associated with better cognitive function as measured by the Initiation/Perseveration subscale of the Dementia Rating Scale in the bilateral superior longitudinal fasciculus (SLF), bilateral SLF-temporal, and right corticospinal tract (CST). An exploratory analysis limited to these tracts revealed that increased FA in the right CST, right SLF, and right SLF-temporal tracts was correlated with a greater decrease in depressive symptoms. Increased FA in the right CST predicted a greater chance of remission, while increased FA in the right CST and the right SLF predicted a greater chance of treatment response.
    Conclusion: In late-life depression LLD subjects, white matter integrity was positively associated with executive function in white matter tracts which act as key connecting structures underlying the cognitive control network. These tracts may play a role as a positive prognostic factor in antidepressant treatment outcome.
    MeSH term(s) Aged ; Anisotropy ; Antidepressive Agents/therapeutic use ; Brain/diagnostic imaging ; Depression/drug therapy ; Diffusion Tensor Imaging ; Executive Function ; Humans ; Prospective Studies ; Treatment Outcome ; White Matter/diagnostic imaging
    Chemical Substances Antidepressive Agents
    Language English
    Publishing date 2021-01-23
    Publishing country England
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, N.I.H., Extramural
    ZDB-ID 1278145-9
    ISSN 1545-7214 ; 1064-7481
    ISSN (online) 1545-7214
    ISSN 1064-7481
    DOI 10.1016/j.jagp.2021.01.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Testing the Mechanism of Action of Computerized Cognitive Training in Young Adults with Depression: Protocol for a Blinded, Randomized, Controlled Treatment Trial.

    Rushia, Sara N / Schiff, Sophie / Egglefield, Dakota A / Motter, Jeffrey N / Grinberg, Alice / Saldana, Daniel G / Shehab, Al Amira Safa / Fan, Jin / Sneed, Joel R

    Journal of psychiatry and brain science

    2020  Volume 5

    Abstract: Background: Depression is associated with a broad range of cognitive deficits, including processing speed (PS) and executive functioning (EF). Cognitive symptoms commonly persist with the resolution of affective symptoms and increase risk of relapse and ...

    Abstract Background: Depression is associated with a broad range of cognitive deficits, including processing speed (PS) and executive functioning (EF). Cognitive symptoms commonly persist with the resolution of affective symptoms and increase risk of relapse and recurrence. The cognitive control network is comprised of brain areas implicated in EF and mood regulatory functions. Prior research has demonstrated the effectiveness of computerized cognitive training (CCT) focused on PS and EF in mitigating both cognitive and affective symptoms of depression.
    Methods: Ninety participants aged 18-29 with a current diagnosis of major depressive disorder or persistent depressive disorder, or a Hamilton Depression Rating Scale score ≥12, will be randomized to either PS/EF CCT, verbal CCT, or waitlist control. Participants in the active groups will complete 15 min of training 5 days/week for 8 weeks. Clinical and neuropsychological assessments will be completed at baseline, week 4, week 8, and 3-month follow-up. Structural and functional magnetic resonance imaging (fMRI) will be completed at baseline and week 8. We will compare changes in mood, cognition, daily functioning, and fMRI data. We will explore cognitive control network functioning using resting-state and task-based fMRI.
    Results: Recruitment began in October 2019; we expect to finish recruitment by April 2022 and subsequently begin data analysis.
    Conclusions: This study is innovative in that it will include both active and waitlist control conditions and will explore changes in neural activation. Identifying the neural networks associated with improvements following CCT will allow for the development of more precise and effective interventions.
    Trial registration: ClinicalTrials.gov NCT03869463; https://clinicaltrials.gov/ct2/show/NCT03869463.
    Language English
    Publishing date 2020-06-19
    Publishing country England
    Document type Journal Article
    ISSN 2398-385X
    ISSN (online) 2398-385X
    DOI 10.20900/jpbs.20200014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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