Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11727/4809

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    Association between polarity of first episode and solar insolation in bipolar I disorder
    (2022) Bicakci, Sule; 0000-0003-4787-9860; 35932492; AAJ-8555-2021
    Objective: Circadian rhythm disruption is commonly observed in bipolar disorder (BD). Daylight is the most powerful signal to entrain the human circadian clock system. This exploratory study investigated if solar inso-lation at the onset location was associated with the polarity of the first episode of BD I. Solar insolation is the amount of electromagnetic energy from the Sun striking a surface area of the Earth. Methods: Data from 7488 patients with BD I were collected at 75 sites in 42 countries. The first episode occurred at 591 onset locations in 67 countries at a wide range of latitudes in both hemispheres. Solar insolation values were obtained for every onset location, and the ratio of the minimum mean monthly insolation to the maximum mean monthly insolation was calculated. This ratio is largest near the equator (with little change in solar insolation over the year), and smallest near the poles (where winter insolation is very small compared to summer insolation). This ratio also applies to tropical locations which may have a cloudy wet and clear dry season, rather than winter and summer. Results: The larger the change in solar insolation throughout the year (smaller the ratio between the minimum monthly and maximum monthly values), the greater the likelihood the first episode polarity was depression. Other associated variables were being female and increasing percentage of gross domestic product spent on country health expenditures. (All coefficients: P <= 0.001). Conclusion: Increased awareness and research into circadian dysfunction throughout the course of BD is warranted.
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    Deep neural network to differentiate brain activity between patients with euthymic bipolar disorders and healthy controls during verbal fluency performance: A multichannel near-infrared spectroscopy study
    (2022) Alici, Yasemin Hosgoren; Oztoprak, Huseyin; Rizaner, Nahit; Baskak, Bora; Ozguven, Halise Devrimci; 0000-0003-3384-8131; 36088826
    In this study, we aimed to differentiate between euthymic bipolar disorder (BD) patients and healthy controls (HC) based on frontal activity measured by fNIRS that were converted to spectrograms with Convolutional Neural Networks (CNN). And also, we investigated brain regions that cause this distinction. In total, 29 BD patients and 28 HCs were recruited. Their brain cortical activities were measured using fNIRS while performing letter versions of VFT. Each one of the 24 fNIRS channels was converted to a 2D spectrogram on which a CNN architecture was designed and utilized for classification. We found that our CNN algorithm using fNIRS activity during a VFT is able to differentiate subjects with BD from healthy controls with 90% accuracy, 80% sensitivity, and 100% specificity. Moreover, validation performance reached an AUC of 94%. From our individual channel analyses, we observed channels corresponding to the left inferior frontal gyrus (left-IFC), medial frontal cortex (MFC), right dorsolateral prefrontal cortex (DLPFC), Broca area, and right premotor have considerable activity variation to distinguish patients from HC. fNIRS activity during VFT can be used as a potential marker to classify euthymic BD patients from HCs. Activity particularly in the MFC, left-IFC, Broca's area, and DLPFC have a considerable variation to distinguish patients from healthy controls.
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    Facial emotion recognition deficits in patients with bipolar disorder and their healthy parents
    (2020) Ulusoy, Selen Isik; Gulseren, Seref Abdurrahman; Ozkan, Nermin; Bilen, Cuneyt; 32361661
    Background: There is evidence on deficits in facial emotion recognition (FER) in patients with bipolar disorder (BD), and these deficits may be present in individuals with genetic risk for BD. This study investigated facial emotion identification and discrimination abilities in patients with BD, their parents, and healthy controls. Materials and methods: This study included 38 patients with bipolar I disorder and 30 healthy controls for pa- tients as well as 30 healthy mothers and 30 healthy fathers of these patients and 30 healthy controls who matched the mothers and fathers for age, gender, and education (total 188 participants). Facial Emotion Identification and Discrimination Tests were applied to all participants; the Hamilton Depression Rating Scale and Young Mania Rating Scale were applied to patients and their control group. Results: Facial Emotion Identification and Discrimination Test scores of patients and their parents were rea- sonably lower than their matching control groups. Moreover, we found that difficulty in FER affected more emotions in mothers than in fathers and mothers performed significantly worse than patients in the identifi- cation of angry and embarrassed faces. Conclusion: These findings indicate that parents of patients with BD have impairment with recognizing facial emotions and suggest that there may be an association between FER of patients with BD and that of their mothers.