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  1. Article: The Relationship of Cerebrospinal Fluid Biomarkers and Cognitive Performance in Frontotemporal Dementia.

    Cayir, Salih / Sadabad, Faranak Ebrahimian / Mecca, Adam / Matuskey, David / Zadeh, Arman Fesharaki

    Research square

    2024  

    Abstract: Objective: Currently available literature on the relationships between cerebrospinal fluid (CSF) biomarkers and cognitive performance in frontotemporal dementia (FTD) is very limited and inconclusive. In this study, we investigated the association of ... ...

    Abstract Objective: Currently available literature on the relationships between cerebrospinal fluid (CSF) biomarkers and cognitive performance in frontotemporal dementia (FTD) is very limited and inconclusive. In this study, we investigated the association of cognition, as measured with Montreal Cognitive Assessment (MoCA), with CSF levels of total tau (t-tau), phosphorylated tau at threonine 181 (p-tau
    Methods: We conducted a retrospective cohort study with participants selected from the electronic records of patients seen at Yale New Haven Hospital's Memory Clinic, CT, USA. We included 61 patients, 28 with FTD (mean age=64.1) and 33 with AD (mean age=66.8).
    Results: T-tau levels negatively and significantly correlated with total MoCA scores as well as the different MoCA index scores in both the FTD (r=-0.469, p<0.05) and AD (r=-0.545, p<0.01) groups. There were no significant associations with MoCA scores and p-tau
    Conclusion: CSF concentrations of t-tau are inversely correlated to cognitive performance in patients with FTD and both t-tau and p-tau
    Language English
    Publishing date 2024-02-13
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-3945509/v2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A Novel Transformer-Based IMU Self-Calibration Approach through On-Board RGB Camera for UAV Flight Stabilization.

    Avola, Danilo / Cinque, Luigi / Foresti, Gian Luca / Lanzino, Romeo / Marini, Marco Raoul / Mecca, Alessio / Scarcello, Francesco

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 5

    Abstract: During flight, unmanned aerial vehicles (UAVs) need several sensors to follow a predefined path and reach a specific destination. To this aim, they generally exploit an inertial measurement unit (IMU) for pose estimation. Usually, in the UAV context, an ... ...

    Abstract During flight, unmanned aerial vehicles (UAVs) need several sensors to follow a predefined path and reach a specific destination. To this aim, they generally exploit an inertial measurement unit (IMU) for pose estimation. Usually, in the UAV context, an IMU entails a three-axis accelerometer and a three-axis gyroscope. However, as happens for many physical devices, they can present some misalignment between the real value and the registered one. These systematic or occasional errors can derive from different sources and could be related to the sensor itself or to external noise due to the place where it is located. Hardware calibration requires special equipment, which is not always available. In any case, even if possible, it can be used to solve the physical problem and sometimes requires removing the sensor from its location, which is not always feasible. At the same time, solving the problem of external noise usually requires software procedures. Moreover, as reported in the literature, even two IMUs from the same brand and the same production chain could produce different measurements under identical conditions. This paper proposes a soft calibration procedure to reduce the misalignment created by systematic errors and noise based on the grayscale or RGB camera built-in on the drone. Based on the transformer neural network architecture trained in a supervised learning fashion on pairs of short videos shot by the UAV's camera and the correspondent UAV measurements, the strategy does not require any special equipment. It is easily reproducible and could be used to increase the trajectory accuracy of the UAV during the flight.
    Language English
    Publishing date 2023-02-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23052655
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  3. Article: Correlation of technique and patient evaluation in successful nitrous oxide-oxygen practice.

    MECCA, A S

    Oral surgery, oral medicine, and oral pathology

    2008  Volume 1, Issue 3, Page(s) 271–277

    MeSH term(s) Anesthesia ; Anesthesiology ; Humans ; Nitrous Oxide ; Oxygen
    Chemical Substances Nitrous Oxide (K50XQU1029) ; Oxygen (S88TT14065)
    Language English
    Publishing date 2008-01-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 202468-8
    ISSN 1528-395X ; 0030-4220 ; 1079-2104
    ISSN (online) 1528-395X
    ISSN 0030-4220 ; 1079-2104
    DOI 10.1016/0030-4220(48)90213-8
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  4. Article: Author Correction: Synaptic loss and its association with symptom severity in Parkinson's disease.

    Holmes, Sophie E / Honhar, Praveen / Tinaz, Sule / Naganawa, Mika / Hilmer, Ansel T / Gallezot, Jean-Dominique / Dias, Mark / Yang, Yanghong / Toyonaga, Takuya / Esterlis, Irina / Mecca, Adam / Van Dyck, Christopher / Henry, Shannan / Ropchan, Jim / Nabulsi, Nabeel / Louis, Elan D / Comley, Robert / Finnema, Sjoerd J / Carson, Richard E /
    Matuskey, David

    NPJ Parkinson's disease

    2024  Volume 10, Issue 1, Page(s) 55

    Language English
    Publishing date 2024-03-12
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 2819218-7
    ISSN 2373-8057
    ISSN 2373-8057
    DOI 10.1038/s41531-024-00674-6
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  5. Article: Synaptic loss and its association with symptom severity in Parkinson's disease.

    Holmes, Sophie E / Honhar, Praveen / Tinaz, Sule / Naganawa, Mika / Hilmer, Ansel T / Gallezot, Jean-Dominique / Dias, Mark / Yang, Yanghong / Toyonaga, Takuya / Esterlis, Irina / Mecca, Adam / Van Dyck, Christopher / Henry, Shannan / Ropchan, Jim / Nabulsi, Nabeel / Louis, Elan D / Comley, Robert / Finnema, Sjoerd J / Carson, Richard E /
    Matuskey, David

    NPJ Parkinson's disease

    2024  Volume 10, Issue 1, Page(s) 42

    Abstract: Parkinson's disease (PD) is the fastest growing neurodegenerative disease, but at present there is no cure, nor any disease-modifying treatments. Synaptic biomarkers from in vivo imaging have shown promise in imaging loss of synapses in PD and other ... ...

    Abstract Parkinson's disease (PD) is the fastest growing neurodegenerative disease, but at present there is no cure, nor any disease-modifying treatments. Synaptic biomarkers from in vivo imaging have shown promise in imaging loss of synapses in PD and other neurodegenerative disorders. Here, we provide new clinical insights from a cross-sectional, high-resolution positron emission tomography (PET) study of 30 PD individuals and 30 age- and sex-matched healthy controls (HC) with the radiotracer [
    Language English
    Publishing date 2024-02-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2819218-7
    ISSN 2373-8057
    ISSN 2373-8057
    DOI 10.1038/s41531-024-00655-9
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  6. Article: Aging gene signature of IL-7 receptor alpha low effector memory CD8

    Young, Juan / Park, Hong-Jai / Kim, Minhyung / Par-Young, Jennefer / Bartlett, Hugh / Kim, Hye Sun / Unlu, Serhan / Osmani, Lais / Shin, Min Sun / Bucala, Richard / van Dyck, Christopher / Allore, Heather / Mecca, Adam / You, Sungyong / Kang, Insoo

    Research square

    2023  

    Abstract: ... ...

    Abstract CD45RA
    Language English
    Publishing date 2023-04-04
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-2736771/v1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application

    Avola, Danilo / Cinque, Luigi / Fagioli, Alessio / Foresti, Gian Luca / Marini, Marco Raoul / Mecca, Alessio / Pannone, Daniele

    2022  

    Abstract: Taking medicines is a fundamental aspect to cure illnesses. However, studies have shown that it can be hard for patients to remember the correct posology. More aggravating, a wrong dosage generally causes the disease to worsen. Although, all relevant ... ...

    Abstract Taking medicines is a fundamental aspect to cure illnesses. However, studies have shown that it can be hard for patients to remember the correct posology. More aggravating, a wrong dosage generally causes the disease to worsen. Although, all relevant instructions for a medicine are summarized in the corresponding patient information leaflet, the latter is generally difficult to navigate and understand. To address this problem and help patients with their medication, in this paper we introduce an augmented reality mobile application that can present to the user important details on the framed medicine. In particular, the app implements an inference engine based on a deep neural network, i.e., a densenet, fine-tuned to recognize a medicinal from its package. Subsequently, relevant information, such as posology or a simplified leaflet, is overlaid on the camera feed to help a patient when taking a medicine. Extensive experiments to select the best hyperparameters were performed on a dataset specifically collected to address this task; ultimately obtaining up to 91.30\% accuracy as well as real-time capabilities.

    Comment: 12 pages, 7 figures
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2022-03-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Myosin-VIIa is expressed in multiple isoforms and essential for tensioning the hair cell mechanotransduction complex.

    Li, Sihan / Mecca, Andrew / Kim, Jeewoo / Caprara, Giusy A / Wagner, Elizabeth L / Du, Ting-Ting / Petrov, Leonid / Xu, Wenhao / Cui, Runjia / Rebustini, Ivan T / Kachar, Bechara / Peng, Anthony W / Shin, Jung-Bum

    Nature communications

    2020  Volume 11, Issue 1, Page(s) 2066

    Abstract: Mutations in myosin-VIIa (MYO7A) cause Usher syndrome type 1, characterized by combined deafness and blindness. MYO7A is proposed to function as a motor that tensions the hair cell mechanotransduction (MET) complex, but conclusive evidence is lacking. ... ...

    Abstract Mutations in myosin-VIIa (MYO7A) cause Usher syndrome type 1, characterized by combined deafness and blindness. MYO7A is proposed to function as a motor that tensions the hair cell mechanotransduction (MET) complex, but conclusive evidence is lacking. Here we report that multiple MYO7A isoforms are expressed in the mouse cochlea. In mice with a specific deletion of the canonical isoform (Myo7a-ΔC mouse), MYO7A is severely diminished in inner hair cells (IHCs), while expression in outer hair cells is affected tonotopically. IHCs of Myo7a-ΔC mice undergo normal development, but exhibit reduced resting open probability and slowed onset of MET currents, consistent with MYO7A's proposed role in tensioning the tip link. Mature IHCs of Myo7a-ΔC mice degenerate over time, giving rise to progressive hearing loss. Taken together, our study reveals an unexpected isoform diversity of MYO7A expression in the cochlea and highlights MYO7A's essential role in tensioning the hair cell MET complex.
    MeSH term(s) Amino Acid Sequence ; Animals ; Base Sequence ; Cell Cycle Proteins/metabolism ; Cytoskeletal Proteins/metabolism ; Gene Deletion ; Hair Cells, Auditory, Inner/metabolism ; Hair Cells, Auditory, Inner/ultrastructure ; Hearing Loss/metabolism ; Hearing Loss/pathology ; Mechanotransduction, Cellular ; Mice, Inbred C57BL ; Myosin VIIa/chemistry ; Myosin VIIa/genetics ; Myosin VIIa/metabolism ; Protein Isoforms/metabolism ; Protein Transport ; Stereocilia/metabolism ; Stereocilia/ultrastructure
    Chemical Substances Cell Cycle Proteins ; Cytoskeletal Proteins ; Myosin VIIa ; Protein Isoforms ; Ush1c protein, mouse
    Language English
    Publishing date 2020-04-29
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, N.I.H., Intramural
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-020-15936-z
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  9. Article: Blending policy and research: the California outcomes study.

    Mecca, A M

    Journal of psychoactive drugs

    1997  Volume 29, Issue 2, Page(s) 161–163

    MeSH term(s) California ; Humans ; Public Policy ; Research ; Substance-Related Disorders/economics ; Substance-Related Disorders/rehabilitation ; Treatment Outcome
    Language English
    Publishing date 1997-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 392405-1
    ISSN 2159-9777 ; 0279-1072
    ISSN (online) 2159-9777
    ISSN 0279-1072
    DOI 10.1080/02791072.1997.10400184
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  10. Article ; Online: Idiom use in a young man with schizophrenia and prominent sexual delusions.

    Fineberg, Sarah K / Mecca, Adam / Lerner, Benjamin A / Hills, Oscar F / Corlett, Philip R / Viron, Mark

    Harvard review of psychiatry

    2014  Volume 22, Issue 5, Page(s) 306–315

    MeSH term(s) Adult ; Delusions/etiology ; Delusions/physiopathology ; Humans ; Male ; Schizophrenia/complications ; Schizophrenia/physiopathology ; Sexual Behavior/physiology ; Verbal Behavior/physiology
    Language English
    Publishing date 2014-09
    Publishing country United States
    Document type Case Reports ; Clinical Conference ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1174775-4
    ISSN 1465-7309 ; 1067-3229
    ISSN (online) 1465-7309
    ISSN 1067-3229
    DOI 10.1097/HRP.0000000000000053
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