The Effect of Aging on Face-Name Recognition: An fMRI Study. / Yaslanmanin Yüz ve Isim Tanima Üzerindeki Etkisi: Bir fMRG Çalismasi.

OBJECTIVE: The aim of this study is to detect functional changes in the brain during the memory task with aging and the association between functional changes and memory performance. METHOD: The study consisted of Young Adult Group (YAG, n=20) aged 20 to 25 and Late Adult Group (LAG, n=18) aged 60 to 70. Individuals with Montreal Cognitive Assessment (MoCA) scores above 21 and no family history of Alzheimer's Disease were included in the study. Functional Magnetic Resonance Imaging (fMRI) scanning was performed on all participants during a memory task including encoding (face and name), face and name recognition sub-tasks. RESULTS: Results indicated that LAG showed increased activity during face recognition task in left posterior cingulate cortex, left superior frontal cortex, left fusiform face area and another increased activity was found out during name recognition task in left superior frontal cortex, right prefrontal cortex, left anterior + posterior cingulate cortex. The accuracy of face recognition and name recognition memory tests were significantly lower in LAG (respectively, p=0.026; p=0.001). CONCLUSION: These results indicated that advanced age were associated with more widespread activation in brain during memory task. Thus with aging, individuals require more neuronal and cognitive resources during memory processing.

The effects of sexual abuse on female adolescent brain structures.

Objective: Sexual abuse (SA) is known for its effects on brain structures in adolescents. We aimed to explore if SA has any effect on limbic and prefrontal cortex (PFC) structures. We hypothesized that children with SA would have a thinner PFC with larger amygdala and hippocampus that lead to aberrations in threat detection, orientation and response circuit; that would be highly adaptive in a dangerous environment in the short term. Method: We included 57 SA and 33 healthy control (HC) female participants. In addition to psychiatric evaluation, we acquired 3 T MR images from all participants. We compared prefrontal cortical thicknesses, hippocampus and amygdala volumes between groups. Results: The age and education levels of study groups were matched, however, IQ scores and socioeconomic status (SES) scores of the SA group were lower than the controls. Total CTQ scores of the SA group were higher than the HC. Nevertheless, the mean value of sexual abuse scores was above the cut-off scores only for the SA participants. SA participants had larger right and left hippocampus and right amygdala volumes than the controls. SA group had reduced inferior frontal gyrus cortical thickness (T=3.5, p<0.01, cluster size=694 mm2, x=51 y=-30 z=6) than HC group. None of the structural findings were correlated with total or sexual abuse CTQ scores. Conclusion: Children with SA history has structural abnormalities in threat detection, orientation and response circuit. SA victims with no psychiatric diagnosis have a high probability of psychiatric problems with a possible contribution of these aberrations. SA cases that do not have a diagnosis must not be overlooked as they may have structural changes in emotion related brain regions. Careful follow-up is needed for all of all SA cases.

Personality change after 'flow diverter implantation' for intracranial aneurysm in a patient with stroke: A case report.

OBJECTIVE: This study aimed to present a patient with psychiatric symptoms that occur after flow diverter stent placement in a posterior communicating artery (PComA) aneurysm in a patient. DESIGN: A case study. METHOD: We performed cranial magnetic resonance imaging (MRI), magnetic resonance angiography, computed tomography angiography, neuropsychological tests, Levenson Self-Report Psychopathy Scale (LSRP), and a 25-item version of the Wender Utah Rating Scale (WURS-25). The patient's recent MRI was compared with previous MRIs. Neuropsychological testing consisted of a clinical interview, clinical assessment of frontal lobe syndrome, and tests evaluating the prefrontal cortex functions (Wisconsin Card Sorting Test-128 card version and Iowa Gambling Test). RESULTS: Our results showed that the patient's personality change and psychiatric symptoms occurred after the stent placement. Symptoms were still present at evaluation two and a half years after stent placement. CONCLUSION: The study demonstrates personality changes and psychiatric symptoms that might occur as complications following the placement of a flow diverter for incidentally detected aneurysm.

Effect of COVID-19 Pandemic on Sleep Quality and Mental State of Frontline Pulmonologists.

Introduction: This study aims to determine the sleep quality and its relationship with anxiety and depressive symptoms, working conditions and other factors among the frontline pulmonologists on active duty during the COVID-19 pandemic. Method: An online survey was conducted among pulmonologists in Turkey. The survey link was e-mailed to the members of the professional societies of pulmonologists. The volunteers were asked to fill in questions about their sociodemographics, medical and psychiatric history, working and housing conditions, perceived levels of support during the pandemic, as well as the sleep habits before the pandemic. Also, questions investigating the severity/level of their worries were inquired and they were asked to fill in two scale forms (the Hospital Anxiety Depression Scale and Pittsburgh Sleep Quality Index-PSQI). Results: The sample consisted of 179 pulmonologists who were divided into two groups according to PSQI as good sleepers (PSQI ≤5) and poor sleepers (PSQI >5). It was observed that 59.2% of the participants had poor sleep quality during the pandemic. Being anxious (p<0.0001, Odds ratio [OR]=0.139, 95% Confidence Interval [CI] [0.052-0.372]), working in intensive care unit (p=0.046, OR=2.363, 95% CI [1.015-5.497]), worry level about excessive increase of the number of patients above the capacity of the institution they worked in (p=0.018, OR=1.755, 95% CI [1.102-2.794]) and being dissatisfied with ones' sleep before the pandemic (p<0.016, OR=0.272, 95% CI [0.094-0.786]) were found to be the main factors that negatively affected the quality of sleep of pulmonologists during the pandemic. Conclusion: More than half of the pulmonologists in our sample group had low sleep quality during the pandemic. For establishing a good sleep regime for clinicians, its crucial to consider certain interventions on the affecting factors.

Emotional context effect on recognition of varying facial emotion expression intensities in depression.

BACKGROUND: Previous research has indicated that Major Depressive Disorder (MDD) patients have deficits in the process of facial emotion recognition. In most of these studies, isolated emotional faces were used, and the effect of the surrounding context of the face was neglected. We aimed to investigate how context emotion (sad or happy) affects facial emotion recognition and whether this effect is different in depressive individuals compared to the control group. METHODS: Happy, sad, neutral facial expressions with congruent and incongruent visual contexts were presented to 51 MDD patients and 42 matched healthy controls. Emotional facial expressions are presented as morphs gradually expressing happiness or sadness with 40% and 80% intensity levels. Mean reaction time, mean accuracy rate, and mean emotion intensity rating score was calculated for each condition. RESULTS: The performances on facial emotion intensity rating and accuracy rate were similar between MDD patients and controls. MDD patients were slower to recognize all facial emotions and to recognize facial emotions with emotionally incongruent backgrounds compared to congruent ones. LIMITATIONS: Antidepressant therapy of patients might have affected our results. CONCLUSIONS: Emotional contextual features have an important role in facial emotion recognition but this effect is independent of depression. Longer reaction time in depression may be related to some cognitive impairments.

Burnout in Healthcare Professionals During the Covid-19 Pandemic in a Tertiary Care University Hospital: Evaluation of the Need for Psychological Support. / Üçüncü Basamak Bir Üniversite Hastanesinde Covid-19 Pandemisinde Saglik Çalisanlarinda Tükenmislik: Psikolojik Destek Ihtiyacinin Degerlendirilmesi.

OBJECTIVE: Anxiety, stress and burnout are observed in healthcare workers during the Covid-19 pandemic. This study aimed to determine the levels of anxiety and burnout and related risk factors in the healthcare workers and assistant personnel at a tertiary referral university hospital. METHOD: Hospital Anxiety Depression Scale (HADS), Maslach Burnout Inventory (MBI) and a sociodemographic questionnaire were delivered on-line to all employees of our hospital. 683 individuals were to the study who completed and returned the forms between April 15-30, 2020. RESULTS: Stress, depression and anxiety levels were significantly higher in nurses. Emotional burnout and depersonalization symptoms were higher and personal accomplishment scores were lower in resident physicians and nurses in comparison to the other groups. Being single, having a child and living away from home were factors underlying the burnout severity. Frontline work in the Covid-19 clinics did not affect the levels of anxiety, stress and depression. On the basis of the cut off points of the HADS scores; anxiety disorder (OR: 7.19) and depression (OR 3.43) were the most relevant risk factors for emotional exhaustion. Anxiety disorder was also the main risk factor for depersonalization. Depersonalization was 2.7-fold more among the nurses complaining of being overworked. Social support from the work environment and the family was protective against depersonalization. CONCLUSION: Covid-19 pandemic has adversely affected the wellbeing of healthcare workers. The presence of depression and anxiety increased the risk of burnout. Social support can be expected to protect against burnout. It is, therefore, of great importance to implement urgently effective psychosocial and organizational interventions in order to protect the mental health of healthcare workers and to prevent burnout.

Gray matter changes in patients with deficit schizophrenia and non-deficit schizophrenia.

OBJECTIVES: Reduced gray matter volume is a frequently reported finding in brain imaging studies performed with schizophrenia patients. Some studies suggest a probable link between the negative symptoms of schizophrenia and gray matter loss; however, some of the negative symptoms observed in schizophrenia patients are not primarily linked to the core of schizophrenia. This study aimed to compare gray matter volumes in patients with primary negative symptoms (deficit schizophrenia [DS]), non-DS (NDS) patients, and healthy controls. MATERIALS AND METHODS: The study included 11 DS patients, 18 non-DS patients, and 17 healthy controls. Magnetic resonance imaging (MRI) was performed using a 1.5 Tesla MR unit. The Schedule for Deficit Syndrome (SDS) was used to determine which patients were DS and non-DS. MR images were compared using voxel-based morphometry (VBM) analysis. RESULTS: Contrary to expectations, no evidence to support less gray matter in DS patients than in NDS patients was observed. Furthermore, NDS patients had less gray matter volume in several brain regions (frontal and temporal cortices) than did the DS patients. All patients had perisylvian gray matter volume deficits, though the NDS patients had more widespread volume deficiencies. CONCLUSION: No evidence to support the hypothesis that DS patients have less gray matter volume than those of NDS patients was observed. On the contrary, DS patients had more gray matter volume in some regions; the differences observed in gray matter volume in these brain regions between the 2 patient groups may be responsible for the differences in their clinical manifestations.

Computer based classification of MR scans in first time applicant Alzheimer patients.

In this study, we aimed to classify MR images for recognizing Alzheimer Disease (AD) in a group of patients who were recently diagnosed by clinical history and neuropsychiatric exams by using non-biased machine-learning techniques. T1 weighted MRI scans of 31 patients with probable AD and 31 age- and gender-matched cognitively normal elderly were analyzed with voxel-based morphometry and classified by support vector machine (SVM), a machine learning technique. SVM could differentiate patients from controls with accuracy of 74% (sensitivity: 70% and specificity: 77%) when the whole brain was included the analyses. The classification accuracy was increased to 79% (sensitivity: 65 % and specificity: 93%) when the analyses restricted to hippocampus. Our results showed that SVM is a promising tool for diagnosis of AD, but needed to be improved.

Reduced left uncinate fasciculus fractional anisotropy in deficit schizophrenia but not in non-deficit schizophrenia.

AIMS: Schizophrenia is a psychiatric disorder manifesting with heterogeneous symptom clusters and clinical presentations. The deficit syndrome is the condition defined by the existence of primarily negative symptoms, and patients with the deficit syndrome differ from non-deficit patients on measures of brain structure and function. In the current study, by using diffusion tensor imaging (DTI), we investigated the frontotemporal connectivity that is hypothesized to differ between deficit and non-deficit schizophrenia. METHODS: Twenty-nine patients and 17 healthy controls were included in the study. The patients had deficit (n = 11) or non-deficit (n = 18) schizophrenia and they were evaluated clinically with the Schedule for Deficit Syndrome (SDS) and Positive and Negative Syndrome Scale (PANSS). Diffusion-based images were obtained with a 1.5T Siemens Magnetic Resonance Imaging machine and analyses were carried out with Functional Magnetic Resonance Imaging of the Brain Library Software - Diffusion tool box software. RESULTS: The fractional anisotropy values in the left uncinate fasciculus of schizophrenia patients with the deficit syndrome were lower than those of non-deficit patients and the controls. There were no differences between non-deficit schizophrenia patients and controls. CONCLUSION: These findings provide evidence of left uncinate fasciculus damage resulting in disrupted communication between orbitofrontal prefrontal areas and temporal areas in deficit schizophrenia patients.

The disrupted connection between cerebral hemispheres in schizophrenia patients: a diffusion tensor imaging study.

AIM: In schizophrenia, the disruption of the communication between two brain hemispheres has not been shown clearly in the anatomical aspect despite other studies with different modalities suggested so. In this study, the structural integrity and the variables affecting the structural integrity of the corpus callosum, which is the main connection between two hemispheres, was investigated via diffusion tensor imaging (DTI). METHODS: The participants were evaluated by SCID-I and symptoms of the patients were assessed with PANSS. DT images of 25 schizophrenia patients and 17 healthy volunteers were acquired via 1.5 T MR. Fractioned Anisotropy (FA) values of two groups, measured on the DT images, were compared. RESULTS: It was found that fractioned anisotropy (FA) values were lower in the genu of the patients than the healthy controls; however, there was no difference between the FA values of the patients and the controls in the splenium. Moreover, a significant negative correlation between the splenium FA values and the antipsychotic medication doses; and a trend level negative correlation of splenium FA and PANSS scores were found. CONCLUSION: Corpus callosum is the most important structure that connects two frontal lobes. The hypothesis that posits the fundamental role of the disconnection of frontal lobes in schizophrenia is supported by the findings of this study.

[Small frontal gray matter volume in first-episode depression patients]. / Ilk Atak Depresyon Hastalarinda Azalmis Frontal Korteks Hacimleri.

OBJECTIVE: Brain imaging studies have shown that depressed individuals suffer from inadequate frontal lobe functions vis à vis smaller frontal lobes. The effects of depression's recurrent nature and long-term antidepressant treatment are not definitely known. This study aimed to examine frontal lobe volume at the onset of clinical depression by including first-episode drug-naive depressed patients. METHOD: The study included 23 first-episode drug-free major depression patients diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) and 28 healthy age- and sex-matched controls. Cranial magnetic resonance (MR) images were obtained in both groups using a 1.5 Tesla device. Gray and white matter volumes in the frontal lobes were measured using the Medical Image Processing Analysis and Visualization (MIPAV) computer program. RESULTS: Frontal gray matter volume in the patients was lower than that in the control group. White matter and total intracranial volume did not differ between the 2 groups. Small gray matter volume was not correlated with the duration or severity of illness. CONCLUSION: The results of this study indicate that frontal lobe gray matter volume is low in first-episode depressed patients and is independent of both illness severity and duration. This result suggests that the observed changes in the frontal lobe could have occurred before the clinical symptoms of depression were observed.