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  1. Article ; Online: Abnormal multisensory temporal discrimination in Parkinson's disease.

    Rostami, Zahra / Salari, Mehri / Mahdavi, Sara / Etemadifar, Masoud

    Brain research

    2024  Volume 1834, Page(s) 148901

    Abstract: Cognitive deficits are prevalent in Parkinson's disease (PD), ranging from mild deficits in perception and executive function to severe dementia. Multisensory integration (MSI), the ability to pool information from different sensory modalities to form a ... ...

    Abstract Cognitive deficits are prevalent in Parkinson's disease (PD), ranging from mild deficits in perception and executive function to severe dementia. Multisensory integration (MSI), the ability to pool information from different sensory modalities to form a combined, coherent perception of the environment, is known to be impaired in PD. This study investigated the disruption of audiovisual MSI in PD patients by evaluating temporal discrimination ability between auditory and visual stimuli with different stimulus onset asynchronies (SOAs). The experiment was conducted with Fifteen PD patients and fifteen age-matched healthy controls where participants were requested to report whether the audiovisual stimuli pairs were temporal simultaneous. The temporal binding window (TBW), the time during which sensory modalities are perceived as synchronous, was adapted as the comparison index between PD patients and healthy individuals. Our results showed that PD patients had a significantly wider TBW than healthy controls, indicating abnormal audiovisual temporal discrimination. Furthermore, PD patients had more difficulty in discriminating temporal asynchrony in visual-first, but not in auditory-first stimuli, compared to healthy controls. In contrast, no significant difference was observed for auditory-first stimuli. PD patients also had shorter reaction times than healthy controls regardless of stimulus priority. Together, our findings point to abnormal audiovisual temporal discrimination, a major component of MSI irregularity, in PD patients. These results have important implications for future models of MSI experiments and models that aim to uncover the underlying mechanism of MSI in patients afflicted with PD.
    Language English
    Publishing date 2024-03-30
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1200-2
    ISSN 1872-6240 ; 0006-8993
    ISSN (online) 1872-6240
    ISSN 0006-8993
    DOI 10.1016/j.brainres.2024.148901
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  2. Article ; Online: A decision support system based on recurrent neural networks to predict medication dosage for patients with Parkinson's disease.

    Riasi, Atiye / Delrobaei, Mehdi / Salari, Mehri

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 8424

    Abstract: Using deep learning has demonstrated significant potential in making informed decisions based on clinical evidence. In this study, we deal with optimizing medication and quantitatively present the role of deep learning in predicting the medication dosage ...

    Abstract Using deep learning has demonstrated significant potential in making informed decisions based on clinical evidence. In this study, we deal with optimizing medication and quantitatively present the role of deep learning in predicting the medication dosage for patients with Parkinson's disease (PD). The proposed method is based on recurrent neural networks (RNNs) and tries to predict the dosage of five critical medication types for PD, including levodopa, dopamine agonists, monoamine oxidase-B inhibitors, catechol-O-methyltransferase inhibitors, and amantadine. Recurrent neural networks have memory blocks that retain crucial information from previous patient visits. This feature is helpful for patients with PD, as the neurologist can refer to the patient's previous state and the prescribed medication to make informed decisions. We employed data from the Parkinson's Progression Markers Initiative. The dataset included information on the Unified Parkinson's Disease Rating Scale, Activities of Daily Living, Hoehn and Yahr scale, demographic details, and medication use logs for each patient. We evaluated several models, such as multi-layer perceptron (MLP), Simple-RNN, long short-term memory (LSTM), and gated recurrent units (GRU). Our analysis found that recurrent neural networks (LSTM and GRU) performed the best. More specifically, when using LSTM, we were able to predict levodopa and dopamine agonist dosage with a mean squared error of 0.009 and 0.003, mean absolute error of 0.062 and 0.030, root mean square error of 0.099 and 0.053, and R-squared of 0.514 and 0.711, respectively.
    MeSH term(s) Humans ; Parkinson Disease/drug therapy ; Levodopa/therapeutic use ; Catechol O-Methyltransferase ; Activities of Daily Living ; Dopamine Agonists/therapeutic use ; Neural Networks, Computer
    Chemical Substances Levodopa (46627O600J) ; Catechol O-Methyltransferase (EC 2.1.1.6) ; Dopamine Agonists
    Language English
    Publishing date 2024-04-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-59179-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A Case of ERCC6-Related Cockayne Syndrome Presenting with Levodopa-Responsive Tremor Syndrome.

    Salari, Mehri / Rezaei, Kamran / Asadi, Sareh / Etemadifar, Masoud

    Movement disorders clinical practice

    2023  Volume 10, Issue 12, Page(s) 1818–1820

    Language English
    Publishing date 2023-10-09
    Publishing country United States
    Document type Journal Article
    ISSN 2330-1619
    ISSN (online) 2330-1619
    DOI 10.1002/mdc3.13898
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Two Cousins with Acute Hemichorea after BBIBP-CorV (Sinopharm) COVID-19 Vaccine.

    Salari, Mehri / Etemadifar, Masoud

    Movement disorders : official journal of the Movement Disorder Society

    2022  Volume 37, Issue 5, Page(s) 1101–1103

    MeSH term(s) COVID-19 ; COVID-19 Vaccines/adverse effects ; Family ; Humans ; SARS-CoV-2
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-03-09
    Publishing country United States
    Document type Letter
    ZDB-ID 607633-6
    ISSN 1531-8257 ; 0885-3185
    ISSN (online) 1531-8257
    ISSN 0885-3185
    DOI 10.1002/mds.28979
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  5. Article ; Online: Neuro-mucormycosis: Lessons from COVID-19-associated cases.

    Sedaghat, Nahad / Etemadifar, Masoud / Ghasemi, Pouria / Naghizadeh, Mohammad / Mokari, Yousef / Salari, Mehri / Golastani, Bahar

    Current journal of neurology

    2024  Volume 22, Issue 4, Page(s) 255–260

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-02-15
    Publishing country Iran
    Document type Journal Article
    ISSN 2717-011X
    ISSN (online) 2717-011X
    DOI 10.18502/cjn.v22i4.14531
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Sound-Specific Lingual Dystonia.

    Salari, Mehri / Alikhani, Alireza / Etemadifar, Masoud

    Movement disorders clinical practice

    2022  Volume 9, Issue 8, Page(s) 1132–1133

    Language English
    Publishing date 2022-10-20
    Publishing country United States
    Document type Journal Article
    ISSN 2330-1619
    ISSN (online) 2330-1619
    DOI 10.1002/mdc3.13592
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Can COVID-19 accelerate neurodegeneration?

    Salari, Mehri / Etemadifar, Masoud

    Clinical case reports

    2021  Volume 9, Issue 7, Page(s) e04433

    Abstract: COVID-19 may accelerate neurodegeneration in patients with neurodegenerative disease. ...

    Abstract COVID-19 may accelerate neurodegeneration in patients with neurodegenerative disease.
    Language English
    Publishing date 2021-07-09
    Publishing country England
    Document type Case Reports
    ZDB-ID 2740234-4
    ISSN 2050-0904
    ISSN 2050-0904
    DOI 10.1002/ccr3.4433
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  8. Article: Neuromyelitis optica spectrum disorder in a patient with ankylosing spondylitis: A case report.

    Salari, Mehri / Zaker Harofteh, Bahareh / Etemadifar, Masoud

    Clinical case reports

    2023  Volume 11, Issue 6, Page(s) e7556

    Abstract: Neuromyelitis optica spectrum disorder is an autoimmune disease which tends to have other coexisting autoimmune or connective tissue diseases. However, coexisting with ankylosing spondylitis is rare. Here, we report a 57-year-old man with concomitant ... ...

    Abstract Neuromyelitis optica spectrum disorder is an autoimmune disease which tends to have other coexisting autoimmune or connective tissue diseases. However, coexisting with ankylosing spondylitis is rare. Here, we report a 57-year-old man with concomitant autoantibodies against aquaporin 4-positive neuromyelitis optica spectrum disorder and HLA-B27-positive ankylosing spondylitis.
    Language English
    Publishing date 2023-06-22
    Publishing country England
    Document type Case Reports
    ZDB-ID 2740234-4
    ISSN 2050-0904
    ISSN 2050-0904
    DOI 10.1002/ccr3.7556
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  9. Article ; Online: Limited access to health care in patients with atypical parkinsonism during COVID-19 era may lead to higher mortality.

    Salari, Mehri / Tehrani-Fateh, Sepand / Aminzade, Zahra / Etemadifar, Masoud

    Current journal of neurology

    2023  Volume 21, Issue 4, Page(s) 256–258

    Language English
    Publishing date 2023-11-22
    Publishing country Iran
    Document type Journal Article
    ISSN 2717-011X
    ISSN (online) 2717-011X
    DOI 10.18502/cjn.v21i4.11724
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Chorea as a Post-COVID-19 Complication.

    Ashrafi, Farzad / Salari, Mehri / Hojjati Pour, Fatemeh

    Movement disorders clinical practice

    2022  

    Language English
    Publishing date 2022-09-18
    Publishing country United States
    Document type Journal Article
    ISSN 2330-1619
    ISSN (online) 2330-1619
    DOI 10.1002/mdc3.13557
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