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1.
Pensar mov ; 21(1)jun. 2023.
Article in Spanish | SaludCR, LILACS | ID: biblio-1521274

ABSTRACT

Varela-Briceño, M. (2023). La publicación de los conjuntos de datos por medio de las revistas científicas: el caso de Pensar en Movimiento. PENSAR EN MOVIMIENTO: Revista de Ciencias del Ejercicio y la Salud, 21(1), 1-6. La publicación científica ha evolucionado y con ellos las revistas académicas, desde sus inicios en versiones impresas y actualmente las electrónicas, lo cual ha llevado a una serie de cambios en los procesos de gestión. Es así que se han establecidos los movimientos del acceso y la ciencia abierta. El propósito de este editorial es hacer un recorrido sobre la publicación de conjuntos de datos, su importancia y ventajas; además de mostrar la iniciativa de Pensar en Movimiento de poner a disposición las bases de datos que acompañan los artículos de investigación.


Varela-Briceño, M. (2023). The publication of data sets through scientific journals: The case of Pensar en Movimiento. PENSAR EN MOVIMIENTO: Revista de Ciencias del Ejercicio y la Salud, 21(1), 1-6. Scientific publishing has evolved, and academic journals have evolved with it—initially in printed versions, and currently in electronic ones. This has resulted in a series of changes in management processes. For instance, the movements for open access and science have emerged. The purpose of this editorial is to present an overview of the publication of data sets, its importance and advantages, in addition to showing the initiative of Pensar en Movimiento to make available the data bases that go along with research articles.


Varela-Briceño, M. (2023). A publicação de conjuntos de dados através de revistas científicas: o caso de Pensar en Movimiento. PENSAR EN MOVIMIENTO: Revista de Ciencias del Ejercicio y de la Salud, 21(1), 1-6. A publicação científica evoluiu, e com ela as revistas acadêmicas; desde sua criação, em versões impressas, e atualmente eletrônicas, o que levou a uma série de mudanças nos processos de gestão. É assim que os movimentos de acesso e ciência aberta foram estabelecidos. O objetivo deste editorial é fazer uma jornada pela publicação de conjuntos de dados, sua importância e vantagens; além de mostrar a iniciativa da revista Pensar en Movimiento de disponibilizar as bases de dados que acompanham os artigos de pesquisa.


Subject(s)
Periodical , Editorial Policies , Scientific and Technical Publications , Costa Rica , Access to Information , Dataset
2.
Rev. bras. ciênc. mov ; 28(4): 194-201, out.-dez. 2020. ilus
Article in Portuguese | LILACS | ID: biblio-1343125

ABSTRACT

A utilização de procedimentos estatísticos é de fundamental importância para a interpretação apropriada de um conjunto de dados. Desta forma, a baixa aderência do teste aos dados selecionados pode levar a conclusões inadequadas. Portanto, a escolha do teste paramétrico e não paramétrico para dados pareados deve levar em conta a normalidade dos dados. Com isso, aplicar o coeficiente de correlação de Pearson (teste paramétrico) em dados não paramétricos aumenta as chances de associações espúrias (por acaso ou erro sistemático), as quais resultam em erro do Tipo I. Entendendo que as vezes o pensamento do jovem pesquisador e também de editores de periódicos científicos serão guiados por resultados positivos. É comum a possibilidade de editores selecionarem artigos para publicação tendo como base o valor de p <0,05. Contudo, também seria importante selecionar os artigos levando em consideração os cumprimentos dos pressupostos para a utilização de testes paramétricos e não-paramétricos. Com isso, objetivo do presente estudo foi abordar os dois testes de coeficiente de correlação de Pearson e Spearman e sugerir recomendações para praticantes de estatística na área de Ciências da Saúde para a utilização segura e adequada dos dados antes da publicação.(AU)


The use of statistical procedures is of fundamental importance for the proper interpretation of data analysis. In this way, the low adherence of the test to the selected data can lead to inadequate conclusions. Therefore, the choice of parametric and non-parametric tests for paired data should take into account the normality of the data. Therefore, applying the Pearson correlation coefficient (non-parametric test) in non-parametric data increases the chances of spurious associations (by chance or systematic error), which result in a Type I error. Knowing that young researcher and editors of scientific journals might be guided by positive results. It is common for editors to select articles for publication based on p < 0.05 value. However, it would also be important to select papers taking into account the fulfillment of the assumptions for the use of parametric and non-parametric tests. Thus, the aim of the present study was to address the two Pearson and Spearman correlation coefficient tests and to suggest recommendations for practitioners of statistics in the area of Health Sciences for the safe and adequate use of data prior publication.(AU)


Subject(s)
Humans , Bias , Health , Data Interpretation, Statistical , Statistics , Correlation of Data , Publications , Statistics as Topic , Test Taking Skills , Dataset , Hypertension
3.
Article in English | WPRIM | ID: wpr-782505

ABSTRACT

10% of labeled tumor cells) of TNF receptor 1 (TNFR1), the protein product of TNFRSF1A gene, was correlated with sarcomatoid dedifferentiation and was an independent predictive factor of clinically unfavorable response and shorter survivals in separated TKI-treated ccRCC cohort.CONCLUSION: TNF-α signaling may play a role in TKI resistance, and TNFR1 expression may serve as a predictive biomarker for clinically unfavorable TKI responses in ccRCC.


Subject(s)
Humans , Biomarkers , Carcinoma, Renal Cell , Cohort Studies , Dataset , Drug Resistance , Gene Expression , Gene Expression Profiling , Heterografts , Immunohistochemistry , Protein-Tyrosine Kinases , Receptors, Tumor Necrosis Factor , Receptors, Tumor Necrosis Factor, Type I , Tumor Necrosis Factor-alpha
10.
Article in English | WPRIM | ID: wpr-786084

ABSTRACT

Post-transcriptional regulations of mRNA transcripts such as alternative splicing and alternative polyadenylation can affect the expression of genes without changing the transcript levels. Recent studies have demonstrated that these post-transcriptional events can have significant physiological impacts on various biological systems and play important roles in the pathogenesis of a number of diseases, including cancers. Nevertheless, how cellular signaling pathways control these post-transcriptional processes in cells are not very well explored in the field yet. The mammalian target of rapamycin complex 1 (mTORC1) pathway plays a key role in sensing cellular nutrient and energy status and regulating the proliferation and growth of cells by controlling various anabolic and catabolic processes. Dysregulation of mTORC1 pathway can tip the metabolic balance of cells and is associated with a number of pathological conditions, including various types of cancers, diabetes, and cardiovascular diseases. Numerous reports have shown that mTORC1 controls its downstream pathways through translational and/or transcriptional regulation of the expression of key downstream effectors. And, recent studies have also shown that mTORC1 can control downstream pathways via post-transcriptional regulations. In this review, we will discuss the roles of post-transcriptional processes in gene expression regulations and how mTORC1-mediated post-transcriptional regulations contribute to cellular physiological changes. We highlight post-transcriptional regulation as an additional layer of gene expression control by mTORC1 to steer cellular biology. These emphasize the importance of studying post-transcriptional events in transcriptome datasets for gaining a fuller understanding of gene expression regulations in the biological systems of interest.


Subject(s)
Alternative Splicing , Cardiovascular Diseases , Dataset , Gene Expression , Polyadenylation , RNA, Messenger , Sirolimus , Social Control, Formal , Transcriptome
11.
Article in English | WPRIM | ID: wpr-787135

ABSTRACT

Although microscopic analysis of tissue slides has been the basis for disease diagnosis for decades, intra- and inter-observer variabilities remain issues to be resolved. The recent introduction of digital scanners has allowed for using deep learning in the analysis of tissue images because many whole slide images (WSIs) are accessible to researchers. In the present study, we investigated the possibility of a deep learning-based, fully automated, computer-aided diagnosis system with WSIs from a stomach adenocarcinoma dataset. Three different convolutional neural network architectures were tested to determine the better architecture for tissue classifier. Each network was trained to classify small tissue patches into normal or tumor. Based on the patch-level classification, tumor probability heatmaps can be overlaid on tissue images. We observed three different tissue patterns, including clear normal, clear tumor and ambiguous cases. We suggest that longer inspection time can be assigned to ambiguous cases compared to clear normal cases, increasing the accuracy and efficiency of histopathologic diagnosis by pre-evaluating the status of the WSIs. When the classifier was tested with completely different WSI dataset, the performance was not optimal because of the different tissue preparation quality. By including a small amount of data from the new dataset for training, the performance for the new dataset was much enhanced. These results indicated that WSI dataset should include tissues prepared from many different preparation conditions to construct a generalized tissue classifier. Thus, multi-national/multi-center dataset should be built for the application of deep learning in the real world medical practice.


Subject(s)
Adenocarcinoma , Classification , Dataset , Diagnosis , Learning , Observer Variation , Stomach
12.
Article in Korean | WPRIM | ID: wpr-811316

ABSTRACT

PURPOSE: We determined whether elevated serum alkaline phosphatase (ALP) was related to prevalence, location, type, length, and recurrence of pterygium in a population from the Republic of Korea.METHODS: A nationwide cross-sectional dataset, the Korean National Health and Nutrition Examination Survey (2008–2011), was used in this study. All participants were > 30 years of age and underwent the ALP test and ophthalmic evaluation (n = 22,359). One-way analysis of variance, the chi-square test, and Fisher's exact test were used to compare characteristics and outcomes among participants. Multivariable logistic regression was used to examine the possible associations between serum ALP levels and various types of pterygium. Data were adjusted for known risk factors for development of pterygium and ALP elevation (age, sex, residence, sunlight exposure, drinking, smoking, hypertension, diabetes, BMI, AST, ALT, vitamin D, and HDL).RESULTS: The overall prevalence of pterygium was 8.1%, and participants with pterygium had higher levels of serum ALP (p < 0.001). Participants with higher serum ALP had a significantly higher prevalence of all types of pterygium than those in the lower serum ALP quartiles. After adjusting for potential confounding factors, multivariate logistic regression analysis revealed that ALP was associated with the prevalence of pterygium (odds ratio [OR], 1.001; p = 0.038). Trend analysis between the OR and ALP quartiles revealed a linear trend in overall prevalence and in the intermediate type of pterygium. Subgroup analysis revealed a stronger correlation in participants > 50 years of age. One-way analysis of variance revealed an association between the size of pterygium and serum ALP quartile levels. Serum ALP was not associated with recurrence of pterygium.CONCLUSIONS: Increased serum ALP was associated with the prevalence and size of pterygium.


Subject(s)
Alkaline Phosphatase , Cross-Sectional Studies , Dataset , Drinking , Hypertension , Korea , Logistic Models , Nutrition Surveys , Prevalence , Pterygium , Recurrence , Republic of Korea , Risk Factors , Smoke , Smoking , Sunlight , Vitamin D
13.
Article in English | WPRIM | ID: wpr-811219

ABSTRACT

OBJECTIVE: To investigate pathologic discrepancies between colposcopy-directed biopsy (CDB) of the cervix and loop electrosurgical excision procedure (LEEP) in women with cytologic high-grade squamous intraepithelial lesions (HSILs).METHODS: We retrospectively identified 297 patients who underwent both CDB and LEEP for HSILs in cervical cytology between 2015 and 2018, and compared their pathologic results. Considering the LEEP to be the gold standard, we evaluated the diagnostic performance of CDB for identifying cervical intraepithelial neoplasia (CIN) grades 2 and 3, adenocarcinoma in situ, and cancer (HSIL+). We also performed age subgroup analyses.RESULTS: Among the study population, 90.9% (270/297) had pathologic HSIL+ using the LEEP. The diagnostic performance of CDB for identifying HSIL+ was as follows: sensitivity, 87.8%; specificity, 59.3%; balanced accuracy, 73.6%; positive predictive value, 95.6%; and negative predictive value, 32.7%. Thirty-three false negative cases of CDB included CIN2,3 (n=29) and cervical cancer (n=4). The pathologic HSIL+ rate in patients with HSIL− by CDB was 67.3% (33/49). CDB exhibited a significant difference in the diagnosis of HSIL+ compared to LEEP in all patients (p<0.001). In age subgroup analyses, age groups <35 years and 35–50 years showed good agreement with the entire data set (p=0.496 and p=0.406, respectively), while age group ≥50 years did not (p=0.036).CONCLUSION: A significant pathologic discrepancy was observed between CDB and LEEP results in women with cytologic HSILs. The diagnostic inaccuracy of CDB increased in those ≥50 years of age.


Subject(s)
Female , Humans , Adenocarcinoma in Situ , Biopsy , Uterine Cervical Dysplasia , Cervix Uteri , Colposcopy , Conization , Dataset , Diagnosis , Early Detection of Cancer , Papanicolaou Test , Retrospective Studies , Sensitivity and Specificity , Squamous Intraepithelial Lesions of the Cervix , Uterine Cervical Neoplasms
14.
Annals of Dermatology ; : 130-140, 2020.
Article in English | WPRIM | ID: wpr-811085

ABSTRACT

BACKGROUND: Atopic dermatitis (AD) is recognized as a common inflammatory skin disease and frequently occurred in Asian and Black individuals.OBJECTIVE: Since the limitation of dataset associated with human severe AD, this study aimed to screen potential novel biomarkers involved in mild AD.METHODS: Expression profile data (GSE75890) were obtained from the database of Gene Expression Omnibus. Using limma package, the differentially expressed genes (DEGs) between samples from AD and healthy control were selected. Furthermore, function analysis was conducted. Meanwhile, the protein-protein interaction (PPI) network and transcription factor (TF)-miRNA-target regulatory network were constructed. And quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the expressions patterns of key genes.RESULTS: In total, 285 DEGs including 214 upregulated and 71 downregulated genes were identified between samples from two groups. The upregulated DEGs were mainly involved in nine pathways, such as hematopoietic cell lineage, pertussis, p53 signaling pathway, staphylococcus aureus infection, and cell cycle, while tight junction was the only pathway enriched by the downregulated DEGs. Cyclin B (CCNB)1, CCNB2, cyclin A (CCNA)2, C-X-C motif chemokine ligand (CXCL)10, and CXCL9 were key nodes in PPI network. The TF-miRNA-target gene regulatory network focused on miRNAs such as miR-106b, miR-106a, and miR-17, TFs such as nuclear factor kappa B subunit 1, RELA proto-oncogene, Sp1 transcription factor, and genes such as matrix metallopeptidase 9, peroxisome proliferator activated receptor gamma , and serpin family E member 1. Moreover, the upregulation of these genes, including CCNB1, CCNB2, CCNA2, CXCL10, and CXCL9 were confirmed by qRT-PCR.CONCLUSION: CCNB1, CCNB2, CCNA2, and CXCL9 might be novel markers of mild AD. miR-106b and miR-17 may involve in regulation of immune response in AD patients.


Subject(s)
Humans , Asian People , Biomarkers , Cell Cycle , Cell Lineage , Computational Biology , Cyclin A , Cyclin B , Dataset , Dermatitis , Dermatitis, Atopic , Gene Expression , Gene Regulatory Networks , MicroRNAs , NF-kappa B , PPAR gamma , Proto-Oncogenes , Real-Time Polymerase Chain Reaction , Skin Diseases , Sp1 Transcription Factor , Staphylococcus aureus , Tight Junctions , Transcription Factors , Up-Regulation , Whooping Cough
15.
Article in English | WPRIM | ID: wpr-788812

ABSTRACT

OBJECTIVE: Since less invasive endovascular treatment was introduced to South Korea in 1994, a considerable proportion of endovascular treatments have been performed by neuroradiology doctors, and endovascular treatments by vascular neurosurgeons have recently increased. However, few specific statistics are known regarding how many endovascular treatments are performed by neurosurgeons. Thus, authors compared endovascular treatments collaboratively performed by vascular neurosurgeons with all cases throughout South Korea from 2013 to 2017 to elucidate the role of neurosurgeons in the field of endovascular treatment in South Korea.METHODS: The Society of Korean Endovascular Neurosurgeons (SKEN) has issued annual reports every year since 2014. These reports cover statistics on endovascular treatments collaboratively or individually performed by SKEN members from 2013 to 2017. The data was requested and collected from vascular neurosurgeons in various hospitals. The study involved 77 hospitals in its first year, and 100 in its last. National statistics on endovascular treatment from all over South Korea were obtained from the Healthcare Bigdata Hub website of the Health Insurance Review & Assessment Service based on the Electronic Data Interchange (EDI) codes (in the case of intra-arterial (IA) thrombolysis, however, statistics were based on a combination of the EDI and I63 codes, a cerebral infarction disease code) from 2013 to 2017. These two data sets were directly compared and the ratios were obtained.RESULTS: Regionally, during the entire study period, endovascular treatments by SKEN members were most common in Gyeonggi-do, followed by Seoul and Busan. Among the endovascular treatments, conventional cerebral angiography was the most common, followed by cerebral aneurysmal coiling, endovascular treatments for ischemic stroke, and finally endovascular treatments for vascular malformation and tumor embolization. The number of endovascular treatments performed by SKEN members increased every year.CONCLUSION: The SKEN members have been responsible for the major role of endovascular treatments in South Korea for the recent 5 years. This was achieved through the perseverance of senior members who started out in the midst of hardship, the establishment of standards for the training/certification of endovascular neurosurgery, and the enthusiasm of current SKEN members who followed. To provide better treatment to patients, we will have to make further progress in SKEN.


Subject(s)
Humans , Cerebral Angiography , Cerebral Infarction , Data Interpretation, Statistical , Dataset , Delivery of Health Care , Endovascular Procedures , Insurance, Health , Intracranial Aneurysm , Korea , Neurosurgeons , Neurosurgery , Seoul , Stroke , Vascular Malformations
16.
Article in English | WPRIM | ID: wpr-788789

ABSTRACT

OBJECTIVE: Bone mineral density (BMD) is an important consideration during fusion surgery. Although dual X-ray absorptiometry is considered as the gold standard for assessing BMD, quantitative computed tomography (QCT) provides more accurate data in spine osteoporosis. However, QCT has the disadvantage of additional radiation hazard and cost. The present study was to demonstrate the utility of artificial intelligence and machine learning algorithm for assessing osteoporosis using Hounsfield units (HU) of preoperative lumbar CT coupling with data of QCT.METHODS: We reviewed 70 patients undergoing both QCT and conventional lumbar CT for spine surgery. The T-scores of 198 lumbar vertebra was assessed in QCT and the HU of vertebral body at the same level were measured in conventional CT by the picture archiving and communication system (PACS) system. A multiple regression algorithm was applied to predict the T-score using three independent variables (age, sex, and HU of vertebral body on conventional CT) coupling with T-score of QCT. Next, a logistic regression algorithm was applied to predict osteoporotic or non-osteoporotic vertebra. The Tensor flow and Python were used as the machine learning tools. The Tensor flow user interface developed in our institute was used for easy code generation.RESULTS: The predictive model with multiple regression algorithm estimated similar T-scores with data of QCT. HU demonstrates the similar results as QCT without the discordance in only one non-osteoporotic vertebra that indicated osteoporosis. From the training set, the predictive model classified the lumbar vertebra into two groups (osteoporotic vs. non-osteoporotic spine) with 88.0% accuracy. In a test set of 40 vertebrae, classification accuracy was 92.5% when the learning rate was 0.0001 (precision, 0.939; recall, 0.969; F1 score, 0.954; area under the curve, 0.900).CONCLUSION: This study is a simple machine learning model applicable in the spine research field. The machine learning model can predict the T-score and osteoporotic vertebrae solely by measuring the HU of conventional CT, and this would help spine surgeons not to under-estimate the osteoporotic spine preoperatively. If applied to a bigger data set, we believe the predictive accuracy of our model will further increase. We propose that machine learning is an important modality of the medical research field.


Subject(s)
Humans , Absorptiometry, Photon , Artificial Intelligence , Boidae , Bone Density , Classification , Dataset , Learning , Logistic Models , Machine Learning , Osteoporosis , Spine , Surgeons
17.
Article in Korean | WPRIM | ID: wpr-788162

ABSTRACT

PURPOSE: The purpose of this study was to identify minimum data sets for oral mucous integrity-related documentation and to analyze nursing records for oral care.METHODS: To identify minimum data sets for oral status, the authors reviewed 26 assessment tools and a practical guideline for oral care. The content validity of the minimum data sets was assessed by three nurse specialists. To map the minimum data sets to nursing records, the authors examined 107 nursing records derived from 44 patients who received chemotherapy or hematopoietic stem cell transplantation in one tertiary hospital.RESULTS: The minimum data sets were 10 elements such as location, mucositis grade, pain, hygiene, dysphagia, exudate, inflammation, difficulty speaking, and moisture. Inflammation contained two value sets: type and color. Mucositis grade, pain, dysphagia and inflammation were recorded well, accounting for a complete mapping rate of 100%. Hygiene (100%) was incompletely mapped, and there were no records for exudate (83.2%), difficulty speaking (99.1%), or moisture (88.8%).CONCLUSION: This study found that nursing records on oral mucous integrity were not sufficient and could be improved by adopting minimum data sets as identified in this study.


Subject(s)
Humans , Dataset , Deglutition Disorders , Drug Therapy , Exudates and Transudates , Hematopoietic Stem Cell Transplantation , Hygiene , Inflammation , Mucositis , Nursing Records , Oral Health , Oral Hygiene , Oral Ulcer , Specialization , Tertiary Care Centers
18.
Article in English | WPRIM | ID: wpr-742425

ABSTRACT

Characterizing the time course of baseline or pre-drug blood pressure is important in acquiring unbiased estimates of antihypertensive drug effect. In this study, we recruited 23 healthy male volunteers and measured systolic (SBP) and diastolic blood pressure (DBP) over 24 hours on an hourly basis. Using a non-linear mixed effects model, circadian rhythm observed in blood pressure measurements was described by incorporating two cosine functions with periods 24 and 12 hours. A mixture model was applied to identify subgroups exhibiting qualitatively different circadian rhythms. Our results suggested that 78% of the study population, defined as ‘dippers’, demonstrated a typical circadian profile with a morning rise and a nocturnal dip. The remaining 22% of the subjects defined as ‘non-dippers’, however, were not adequately described using the typical profile and demonstrated an elevation of blood pressure during night-time. Covariate search identified weight as being positively correlated with mesor of SBP. Visual predictive checks using 1,000 simulated datasets were performed for model validation. Observations were in agreement with predicted values in ‘dippers’, but deviated slightly in ‘non-dippers’. Our work is expected to serve as a useful reference in assessing systematic intra-day blood pressure fluctuations and antihypertensive effects as well as assessing drug safety of incrementally modified drugs.


Subject(s)
Humans , Male , Blood Pressure , Circadian Rhythm , Dataset , Volunteers
19.
Article in English | WPRIM | ID: wpr-742080

ABSTRACT

PURPOSE: Limited data is available regarding the differences for possible microleakage problems and fitting accuracy of zirconia versus titanium abutments with various connection designs. The purpose of this in vitro study was to investigate the effect of connection design and abutment material on the sealing capability and fitting accuracy of abutments. MATERIALS AND METHODS: A total of 42 abutments with different connection designs [internal conical (IC), internal tri-channel (IT), and external hexagonal (EH)] and abutment materials [titanium (Ti) and zirconia (Zr)] were evaluated. The inner parts of implants were inoculated with 0.7 µL of polymicrobial culture (P. gingivalis, T. forsythia, T. denticola and F. nucleatum) and connected with their respective abutments under sterile conditions. The penetration of bacteria into the surrounding media was assessed by the visual evaluation of turbidity at each time point and the number of colony forming units (CFUs) was counted. The marginal gap at the implant- abutment interface (IAI) was measured by scanning electron microscope. The data sets were statistically analyzed using Kruskal-Wallis followed by Mann-Whitney U tests with the Bonferroni-Holm correction (α=.05). RESULTS: Statistically significant difference was found among the groups based on the results of leaked colonies (P<.05). The EH-Ti group characterized by an external hexagonal connection were less resistant to bacterial leakage than the groups EH-Zr, IT-Zr, IT-Ti, IC-Zr, and IC-Ti (P<.05). The marginal misfit (in µm) of the groups were in the range of 2.7–4.0 (IC-Zr), 1.8–5.3 (IC-Ti), 6.5–17.1 (IT-Zr), 5.4–12.0 (IT-Ti), 16.8–22.7 (EH-Zr), and 10.3–15.4 (EH-Ti). CONCLUSION: The sealing capability and marginal fit of abutments were affected by the type of abutment material and connection design.


Subject(s)
Bacteria , Dataset , Dental Implants , Forsythia , In Vitro Techniques , Stem Cells , Titanium
20.
Article in English | WPRIM | ID: wpr-741915

ABSTRACT

OBJECTIVE: Accumulated evidence collected via functional near-infrared spectroscopy (fNIRS) has been reported with regard to mental disorders. A previous finding revealed that emotional words evoke left frontal cortex activity in patients with depression. The primary aim of the current study was to replicate this finding using an independent dataset and evaluate the brain region associated with the severity of depression using an emotional Stroop task. METHODS: Oxygenized and deoxygenized hemoglobin recording in the brain by fNIRS on 14 MDD patients and 20 normal controls. RESULTS: Hyperactivated oxygenized hemoglobin was observed in the left frontal cortex on exposure to unfavorable stimuli, but no significant difference was found among patients with depression compared with healthy controls on exposure to favorable stimuli. This result is consistent with previous findings. Moreover, an evoked wave associated with the left upper frontal cortex on favorable stimuli was inversely correlated with the severity of depression. CONCLUSION: Our current work using fNIRS provides a potential clue regarding the location of depression symptom severity in the left upper frontal cortex. Future studies should verify our findings and expand them into a precise etiology of depression.


Subject(s)
Humans , Brain , Dataset , Depression , Frontal Lobe , Mental Disorders , Oxygen , Spectroscopy, Near-Infrared
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