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  1. Article: Editorial: Reviews in psychiatry 2022: aging psychiatry.

    Lakhan, Shaheen E

    Frontiers in psychiatry

    2023  Volume 14, Page(s) 1217186

    Language English
    Publishing date 2023-05-25
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2023.1217186
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Appropriate controls for digital therapeutic clinical trials: A narrative review of control conditions in clinical trials of digital therapeutics (DTx) deploying psychosocial, cognitive, or behavioral content.

    Lutz, Jacqueline / Offidani, Emanuela / Taraboanta, Laura / Lakhan, Shaheen E / Campellone, Timothy R

    Frontiers in digital health

    2022  Volume 4, Page(s) 823977

    Abstract: Digital therapeutics (DTx) are software programs that treat a disease or condition. Increasingly, DTx are part of medical care, and in the US healthcare system they are regulated by the FDA as Software as a Medical Device (SaMD). Randomized controlled ... ...

    Abstract Digital therapeutics (DTx) are software programs that treat a disease or condition. Increasingly, DTx are part of medical care, and in the US healthcare system they are regulated by the FDA as Software as a Medical Device (SaMD). Randomized controlled trials (RCT) remain a key evidence generation step for most DTx. However, developing a unified approach to the design of appropriate control conditions has been a challenge for two main reasons: (1) inheriting control condition definitions from pharmacotherapy and medical device RCT that may not directly apply, and (2) challenges in establishing control conditions for psychosocial interventions that build the core of many DTx. In our critical review we summarize different approaches to control conditions and patient blinding in RCT evaluating DTx with psychosocial, cognitive or behavioral content. We identify control condition choices, ranging from very minimal digital controls to more complex and stringent digital applications that contain aspects of "fake" therapy, general wellness content or games. Our review of RCTs reveals room for improvement in describing and naming control conditions more consistently. We further discuss challenges in defining placebo controls for DTx and ways in which control choices may have a therapeutic effect. While no one-size-fits-all control conditions and study designs will apply to all DTx, we propose points to consider for defining appropriate digital control conditions. At the same time, given the rapid iterative development and optimization of DTx, treatments with low risk profile may be evaluated with minimal digital controls followed by extensive real-world effectiveness trials.
    Language English
    Publishing date 2022-08-18
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2022.823977
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Teaching NeuroImages: concurrent hemifacial spasm and trigeminal neuralgia due to vertebrobasilar dolichoectasia.

    Lakhan, Shaheen E

    Neurology

    2013  Volume 81, Issue 8, Page(s) e52

    MeSH term(s) Diagnosis, Differential ; Facial Pain/etiology ; Facial Pain/pathology ; Hemifacial Spasm/etiology ; Hemifacial Spasm/pathology ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Trigeminal Neuralgia/etiology ; Trigeminal Neuralgia/pathology ; Vertebrobasilar Insufficiency/complications ; Vertebrobasilar Insufficiency/pathology
    Language English
    Publishing date 2013-08-20
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 207147-2
    ISSN 1526-632X ; 0028-3878
    ISSN (online) 1526-632X
    ISSN 0028-3878
    DOI 10.1212/WNL.0b013e3182a1aaeb
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: 3T MRI induced post-traumatic stress disorder: a case report.

    Lakhan, Shaheen E

    International archives of medicine

    2012  Volume 5, Issue 1, Page(s) 27

    Language English
    Publishing date 2012-10-10
    Publishing country England
    Document type Case Reports
    ZDB-ID 2421642-2
    ISSN 1755-7682 ; 1755-7682
    ISSN (online) 1755-7682
    ISSN 1755-7682
    DOI 10.1186/1755-7682-5-27
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Teaching neuroimages: MRI time lag with acute disseminated encephalomyelitis.

    Lakhan, Shaheen E

    Neurology

    2012  Volume 78, Issue 22, Page(s) e138–9

    MeSH term(s) Aged ; Anti-Inflammatory Agents/administration & dosage ; Atrophy/diagnosis ; Biopsy/methods ; Brain/pathology ; Dementia/etiology ; Demyelinating Diseases ; Diagnosis, Differential ; Disease Progression ; Encephalomyelitis, Acute Disseminated/complications ; Encephalomyelitis, Acute Disseminated/diagnosis ; Encephalomyelitis, Acute Disseminated/pathology ; Encephalomyelitis, Acute Disseminated/therapy ; Humans ; Magnetic Resonance Imaging ; Male ; Methylprednisolone/administration & dosage ; Neuroprotective Agents/administration & dosage ; Plasma Exchange ; Stereotaxic Techniques ; Time Factors ; Treatment Outcome
    Chemical Substances Anti-Inflammatory Agents ; Neuroprotective Agents ; Methylprednisolone (X4W7ZR7023)
    Language English
    Publishing date 2012-05-29
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 207147-2
    ISSN 1526-632X ; 0028-3878
    ISSN (online) 1526-632X
    ISSN 0028-3878
    DOI 10.1212/WNL.0b013e318258305c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Appropriate controls for digital therapeutic clinical trials

    Jacqueline Lutz / Emanuela Offidani / Laura Taraboanta / Shaheen E. Lakhan / Timothy R. Campellone

    Frontiers in Digital Health, Vol

    A narrative review of control conditions in clinical trials of digital therapeutics (DTx) deploying psychosocial, cognitive, or behavioral content

    2022  Volume 4

    Abstract: Digital therapeutics (DTx) are software programs that treat a disease or condition. Increasingly, DTx are part of medical care, and in the US healthcare system they are regulated by the FDA as Software as a Medical Device (SaMD). Randomized controlled ... ...

    Abstract Digital therapeutics (DTx) are software programs that treat a disease or condition. Increasingly, DTx are part of medical care, and in the US healthcare system they are regulated by the FDA as Software as a Medical Device (SaMD). Randomized controlled trials (RCT) remain a key evidence generation step for most DTx. However, developing a unified approach to the design of appropriate control conditions has been a challenge for two main reasons: (1) inheriting control condition definitions from pharmacotherapy and medical device RCT that may not directly apply, and (2) challenges in establishing control conditions for psychosocial interventions that build the core of many DTx. In our critical review we summarize different approaches to control conditions and patient blinding in RCT evaluating DTx with psychosocial, cognitive or behavioral content. We identify control condition choices, ranging from very minimal digital controls to more complex and stringent digital applications that contain aspects of “fake” therapy, general wellness content or games. Our review of RCTs reveals room for improvement in describing and naming control conditions more consistently. We further discuss challenges in defining placebo controls for DTx and ways in which control choices may have a therapeutic effect. While no one-size-fits-all control conditions and study designs will apply to all DTx, we propose points to consider for defining appropriate digital control conditions. At the same time, given the rapid iterative development and optimization of DTx, treatments with low risk profile may be evaluated with minimal digital controls followed by extensive real-world effectiveness trials.
    Keywords mHealth ; psychology ; digital clinical trials ; digital health ; control conditions ; placebo control ; Medicine ; R ; Public aspects of medicine ; RA1-1270 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 150
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Mass spectrometric analysis of prefrontal cortex proteins in schizophrenia and bipolar disorder.

    Lakhan, Shaheen E

    SpringerPlus

    2012  Volume 1, Page(s) 3

    Abstract: Background: Schizophrenia and bipolar disorder are the two most serious and debilitating neuropsychiatric disorders that share many characteristics, both symptomatic and epidemiological. There has yet to be a single diagnostic biomarker discovered for ... ...

    Abstract Background: Schizophrenia and bipolar disorder are the two most serious and debilitating neuropsychiatric disorders that share many characteristics, both symptomatic and epidemiological. There has yet to be a single diagnostic biomarker discovered for schizophrenia and bipolar disorder. Proteomics holds promise in elucidating the pathophysiology of these neuropsychiatric disorders from each other and healthy individuals.
    Findings: Postmortem prefrontal cortex tissue from schizophrenia, bipolar disorder, and psychiatric-free controls (n = 35 in each group) were subject to SELDI-TOF-MS protein profiling. There were 13 protein peaks distinguishing schizophrenia versus control and 15 in bipolar versus control. Using a predictor set of 10 peaks for each comparison, 73% prediction accuracy (p = 2.3×10(-4)) was achieved. Three peaks were in common between schizophrenia and bipolar disorder.
    Conclusions: This pilot study found protein profiles that distinguished schizophrenia and bipolar patients from controls and notably from each other. Identifying and characterizing the proteins in this study may elucidate neuropsychiatric phenotypes and uncover therapeutic targets. Further, applying class prediction bioinformatics may allow the clinician to differentiate the two phenotypes by profiling CSF or even serum.
    Language English
    Publishing date 2012-04-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661116-8
    ISSN 2193-1801
    ISSN 2193-1801
    DOI 10.1186/2193-1801-1-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: A Virtual, Randomized, Control Trial of a Digital Therapeutic for Speech, Language, and Cognitive Intervention in Post-stroke Persons With Aphasia.

    Braley, Michelle / Pierce, Jordyn Sims / Saxena, Sadhvi / De Oliveira, Emily / Taraboanta, Laura / Anantha, Veera / Lakhan, Shaheen E / Kiran, Swathi

    Frontiers in neurology

    2021  Volume 12, Page(s) 626780

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-02-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2021.626780
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Residency training: neurology training: a comparison of Australian and American graduate medical education.

    Tcherveniakov, Petar / Lakhan, Shaheen E

    Neurology

    2015  Volume 84, Issue 6, Page(s) e38–40

    MeSH term(s) Australia ; Clinical Competence ; Curriculum ; Education, Medical, Graduate/organization & administration ; Education, Medical, Graduate/trends ; Humans ; Internship and Residency ; Licensure, Medical ; Life Style ; Neurology/education ; Quality of Life ; Salaries and Fringe Benefits ; United States
    Language English
    Publishing date 2015-02-10
    Publishing country United States
    Document type Comparative Study ; Journal Article
    ZDB-ID 207147-2
    ISSN 1526-632X ; 0028-3878
    ISSN (online) 1526-632X
    ISSN 0028-3878
    DOI 10.1212/WNL.0000000000001232
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: New Media, Technology and Neurology Education.

    Lau, K H Vincent / Lakhan, Shaheen E / Achike, Francis

    Seminars in neurology

    2018  Volume 38, Issue 4, Page(s) 457–464

    Abstract: The use of technology in neurology education has revolutionized many aspects of medical teaching, addressing some important challenges of modern education such as information overload and the unique needs of millennial learners. However, it also has ... ...

    Abstract The use of technology in neurology education has revolutionized many aspects of medical teaching, addressing some important challenges of modern education such as information overload and the unique needs of millennial learners. However, it also has inherent problems, such as depersonalization and high development costs. Due to the heterogeneity of different applications, it is difficult to establish general principles to guide front line educators, but it may be possible to describe "minimum" best practice elements. In this article, we examine commonalities of some of the most successful uses of technology in neurology education. We suggest the following for effective application of technology: (1) match technology to predetermined educational objectives, (2) characterize learners in relationship to technology, (3) optimize how technological components fit into the learning environment, (4) monitor and manage learner engagement with technology, (5) perform cost analyses, and (6) explore opportunities for educational scholarship and research.
    MeSH term(s) Curriculum ; Education, Medical/methods ; Educational Technology ; Humans ; Neurology/education
    Language English
    Publishing date 2018-08-20
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 603165-1
    ISSN 1098-9021 ; 0271-8235
    ISSN (online) 1098-9021
    ISSN 0271-8235
    DOI 10.1055/s-0038-1666985
    Database MEDical Literature Analysis and Retrieval System OnLINE

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