A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters

Kesebir, Sermin; Yosmaoglu, Ahmet; Tarhan, Nevzat

doi:10.3389/fpsyt.2022.651008

Cited by 6 publications

(5 citation statements)

References 32 publications

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“…However, high beta activity in F7 and F8 node of the NSSI group were lower than non-NSSI group. It might be related to hyperthymic temperament, referring to the study which showed anger is related to the increased high beta activity in F7, F8 node and some nodes in the occipital region [29].…”

Section: Discussionmentioning

confidence: 99%

Non-suicidal Self-injury and Quantified Electroencephalogram in Adolescents and Young Adults with Depression

Hong,

Park,

Park

2023

Clin Psychopharmacol Neurosci

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Objective: This study investigated the association between non-suicidal self-injury (NSSI) and quantified electroencephalogram (QEEG) in patients with depression. We aimed to identify clinical features of NSSI and differences in QEEG findings. Methods: This retrospective study used the medical records of 52 inpatients with major depressive episodes, aged from 15 to 30. The patients were categorized according to their history of NSSI. Their main diagnosis and sex were also considered. To evaluate clinical symptoms, self-reported scales were used. The absolute power and the Z-scores of various waves were included. Results: NSSI was associated with suicidal ideations (p = 0.001) and trauma history (p = 0.014). In the binary logistic regression analysis, the Z-score of absolute alpha power was higher on the FP2 node (p = 0.029), lower on the F4 node (p = 0.029) in the NSSI group. The absolute high beta power in the NSSI group was higher on the FP2 and the F3 node, but lower on the F7 and F8 node. Patients with NSSI showed higher Z-score of the absolute delta power at the FP2 node (p = 0.044). The absolute gamma power was higher on the FP2 (p = 0.012) and the F3 node (0.043), lower on the FP1 (p = 0.019) and the F7 node (0.018) in the NSSI group. The absolute high gamma power at the FP2 (p = 0.017) and F8 nodes (p = 0.045) were higher in the NSSI group. Conclusion: Patients with NSSI may have clinical features distinct from those of patients without NSSI. QEEG results have shown some differences, although it is less applicable due to some limitations.

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Section: Discussionmentioning

confidence: 99%

Non-suicidal Self-injury and Quantified Electroencephalogram in Adolescents and Young Adults with Depression

Hong,

Park,

Park

2023

Clin Psychopharmacol Neurosci

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“…Mood periods are largely seasonal. All of this group meets at least one of the metabolic syndrome criteria according to NCEP-ATP III (National Cholesterol Education Program-Adult Treatment Panel III) 13 .…”

Section: Discussionmentioning

confidence: 99%

“…There is no linear transformation from one neuron up to the global cortical scales. Anxiety accompanied by hypervigilance; this mood reactivity was linked with irritability 13 . On the other hand, delta power, found to be associated with anxiety scores, too.…”

Section: Introductionmentioning

confidence: 99%

Reclassification of Mood Disorders with Comorbid Medical Diseases based on Sinai-Ruelle-Bowen/ SRB Entropy Measures

Kesebir,

Demirer

2023

MRAJ

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Background: Current classification systems ignore the family histories of patients and psychiatric and medical comorbidity. Methods: We study a new approach of applying spectral clustering to determine distinct bipolar disorder subtypes, which is data whose clusters are of various sizes and densities. We discovered clusters by processing a SRB (Sinai-Ruelle-Bowen) similarity matrix that reflects the proximity of Von Bertalanffy’s functions fitted to phase growth dynamics of EEG (electroencephalography) within a new pipeline architecture. For this purpose, 109 patients diagnosed with bipolar disorder according to DSM-V (Diagnostic and Statistical Manual of Mental Disorders, fifth edition) were evaluated in remission period cross-sectionally. Results: We found three distinct bipolar disorder subtypes with the p-values < 0.001. We exhibit mixing sub-shifts of EEG phase gradients such that there are chaotic phase transitions but higher order phase gradients in a cone basin is always strictly convex. More surprisingly, we show that the SRB entropy measures on some time interval although there exist several equilibrium states each corresponds to equilibrium state. Conclusion: It seems subtypes of the bipolar spectrum were shaped according to seasonality, comorbidity for anxiety disorder and presence of psychotic symptom.

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“…In our first study, we showed that the EEG changes that occur in mania disappear in the consecutive remission period 7 . In our second study, we examined the relationships between scl subdimensions and qeeg spectral power densities 8 . Fast wave activity was occurring as a response to slow wave activity 9 .…”

Section: Dıscussıonmentioning

confidence: 99%

The Two new biomarkers: Bipolar Self, Bipolar EEG

Kesebir

2024

MRAJ

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Background: Although self theory was initially interested in narcissism, it began to explain depression over time. In our previous study, we showed that there was a relationship between self-inventory and mood disorder questionnaire scores in healthy individuals. Self-inventory defensive subscale scores of cases diagnosed with bipolar disorder were higher than healthy individuals. The aim of this study is to investigate whether there is a relationship between self-inventory scores and EEG spectral power densities in bipolar patients. Methods: For this purpose, 50 cases diagnosed with bipolar disorder according to DSM-V were evaluated consecutively during their regular check-ups in our outpatient clinic. Subjects who gave voluntary consent to participate in the study were required to be in remission period for at least 8 weeks. Self Inventory and EEG applied. Results: A relationship was found between compensatory grandiose self and FP1 alpha activity, and between defensive grandiose self and F3, Pz, T4, T5 beta activity (Table-1). There is a relationship between compensatory idealized parent image and FP1 delta ve theta, F7 theta, and between defensive idealized parent image and O1, O2 theta T6 beta activity. Conclusion: According to our results, self-pathology and bipolar disorder overlap electrophysiologically. This suggests that more investigation should be done on the structural origin of mood disorders, in other words, whether the predisposition is a trait or not.

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A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters

Cited by 6 publications

References 32 publications

Non-suicidal Self-injury and Quantified Electroencephalogram in Adolescents and Young Adults with Depression

Non-suicidal Self-injury and Quantified Electroencephalogram in Adolescents and Young Adults with Depression

Reclassification of Mood Disorders with Comorbid Medical Diseases based on Sinai-Ruelle-Bowen/ SRB Entropy Measures

The Two new biomarkers: Bipolar Self, Bipolar EEG

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