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  1. Article: Inflammation-related gene expression profiles of salivary extracellular vesicles in patients with head trauma.

    Cheng, Yan / Pereira, Mandy / Raukar, Neha P / Reagan, John L / Quesenberry, Mathew / Goldberg, Laura / Borgovan, Theodor / LaFrance Jr, W Curt / Dooner, Mark / Deregibus, Maria / Camussi, Giovanni / Ramratnam, Bharat / Quesenberry, Peter

    Neural regeneration research

    2019  Volume 15, Issue 4, Page(s) 676–681

    Abstract: At present, there is no reliable biomarker for the diagnosis of traumatic brain injury (TBI). Studies have shown that extracellular vesicles released by damaged cells into biological fluids can be used as potential biomarkers for diagnosis of TBI and ... ...

    Abstract At present, there is no reliable biomarker for the diagnosis of traumatic brain injury (TBI). Studies have shown that extracellular vesicles released by damaged cells into biological fluids can be used as potential biomarkers for diagnosis of TBI and evaluation of TBI severity. We hypothesize that the genetic profile of salivary extracellular vesicles in patients with head trauma differs from that in uninjured subjects. Findings from this hypothesis would help investigate the severity of TBI. This study included 19 subjects, consisting of seven healthy controls who denied history of head trauma, six patients diagnosed with concussion injury from an outpatient concussion clinic, and six patients with TBI who received treatment in the emergency department within 24 hours after injury. Real-time PCR analysis of salivary extracellular vesicles in participants was performed using TaqMan Human Inflammation array. Gene expression analysis revealed nine upregulated genes in emergency department patients (LOX5, ANXA3, CASP1, IL2RG, ITGAM, ITGB2, LTA4H, MAPK14, and TNFRSF1A) and 13 upregulated genes in concussion clinic patients compared with healthy participants (ADRB1, ADRB2, BDKRB1, HRH1, HRH2, LTB4R2, LTB4R, PTAFR, CYSLTR1, CES1, KLK1, MC2R, and PTGER3). Each patient group had a unique profile. Comparison between groups showed that 15 inflammation-related genes had significant expression change. Our results indicate that inflammation biomarkers can be used for diagnosis of TBI and evaluation of disease severity. This study was approved by the Institutional Review Board on December 18, 2015 (approval No. 0078-12) and on June 9, 2016 (approval No. 4093-16).
    Language English
    Publishing date 2019-10-21
    Publishing country India
    Document type Journal Article
    ZDB-ID 2388460-5
    ISSN 1876-7958 ; 1673-5374
    ISSN (online) 1876-7958
    ISSN 1673-5374
    DOI 10.4103/1673-5374.266924
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Neuroimaging in Functional Neurological Disorder

    David L. Perez / Timothy R. Nicholson / Ali A. Asadi-Pooya / Indrit Bègue / Matthew Butler / Alan J. Carson / Anthony S. David / Quinton Deeley / Ibai Diez / Mark J. Edwards / Alberto J. Espay / Jeannette M. Gelauff / Mark Hallett / Silvina G. Horovitz / Johannes Jungilligens / Richard A.A. Kanaan / Marina A.J. Tijssen / Kasia Kozlowska / Kathrin LaFaver /
    W. Curt LaFrance, Jr. / Sarah C. Lidstone / Ramesh S. Marapin / Carine W. Maurer / Mandana Modirrousta / Antje A.T.S. Reinders / Petr Sojka / Jeffrey P. Staab / Jon Stone / Jerzy P. Szaflarski / Selma Aybek

    NeuroImage: Clinical, Vol 30, Iss , Pp 102623- (2021)

    State of the Field and Research Agenda

    2021  

    Abstract: Functional neurological disorder (FND) was of great interest to early clinical neuroscience leaders. During the 20th century, neurology and psychiatry grew apart – leaving FND a borderland condition. Fortunately, a renaissance has occurred in the last ... ...

    Abstract Functional neurological disorder (FND) was of great interest to early clinical neuroscience leaders. During the 20th century, neurology and psychiatry grew apart – leaving FND a borderland condition. Fortunately, a renaissance has occurred in the last two decades, fostered by increased recognition that FND is prevalent and diagnosed using “rule-in” examination signs. The parallel use of scientific tools to bridge brain structure - function relationships has helped refine an integrated biopsychosocial framework through which to conceptualize FND. In particular, a growing number of quality neuroimaging studies using a variety of methodologies have shed light on the emerging pathophysiology of FND. This renewed scientific interest has occurred in parallel with enhanced interdisciplinary collaborations, as illustrated by new care models combining psychological and physical therapies and the creation of a new multidisciplinary FND society supporting knowledge dissemination in the field. Within this context, this article summarizes the output of the first International FND Neuroimaging Workgroup meeting, held virtually, on June 17th, 2020 to appraise the state of neuroimaging research in the field and to catalyze large-scale collaborations. We first briefly summarize neural circuit models of FND, and then detail the research approaches used to date in FND within core content areas: cohort characterization; control group considerations; task-based functional neuroimaging; resting-state networks; structural neuroimaging; biomarkers of symptom severity and risk of illness; and predictors of treatment response and prognosis. Lastly, we outline a neuroimaging-focused research agenda to elucidate the pathophysiology of FND and aid the development of novel biologically and psychologically-informed treatments.
    Keywords Functional neurological disorder ; Conversion disorder ; Neuroimaging ; fMRI ; MRI ; DTI ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurology. Diseases of the nervous system ; RC346-429
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Psychogenic unresponsiveness and nonepileptic seizures.

    LaFrance, W Curt / Gates, John R / Trimble, Michael R

    Handbook of clinical neurology

    2008  Volume 90, Page(s) 317–328

    MeSH term(s) Animals ; Diagnosis, Differential ; Diagnostic Imaging ; Electroencephalography/methods ; Humans ; Neuropsychological Tests ; Personality Assessment ; Psychomotor Performance/physiology ; Psychophysiologic Disorders/complications ; Psychophysiologic Disorders/epidemiology ; Psychophysiologic Disorders/psychology ; Seizures/diagnosis ; Seizures/epidemiology ; Seizures/physiopathology ; Seizures/psychology ; Serotonin Plasma Membrane Transport Proteins/genetics
    Chemical Substances Serotonin Plasma Membrane Transport Proteins
    Language English
    Publishing date 2008
    Publishing country Netherlands
    Document type Journal Article
    ISSN 0072-9752
    ISSN 0072-9752
    DOI 10.1016/S0072-9752(07)01718-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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