KR102233341B1 - Method for predicting a suicidal behavior in major depressive disorder based on frontal alpha asymmetry and frontal activity - Google Patents

Abstract

Various embodiments of the present invention relate to a method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry. According to various embodiments of the present disclosure, a method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry may include classifying a plurality of depressed patients into a left brain type (LD) group and a right brain type (RD) group; Measuring an EEG signal in a region of interest (ROI) related to frontal alpha asymmetry of the plurality of depressed patients; Calculating an asymmetry index of a low-alpha band and a high-alpha band from the EEG signal; Determining an asymmetry index of a low alpha band of a depressed patient belonging to the left brain group and a high alpha band of a depressive patient belonging to the right brain group; And predicting the suicidal behavior of the depressed patient by using the asymmetry index of the low alpha band and the asymmetry index of the high alpha band. Other embodiments may also be possible.

Description

A method of predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry {METHOD FOR PREDICTING A SUICIDAL BEHAVIOR IN MAJOR DEPRESSIVE DISORDER BASED ON FRONTAL ALPHA ASYMMETRY AND FRONTAL ACTIVITY}

The present invention relates to a method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry. It's about the method.

People living in the modern world are exposed to various situations and have a lot of mental stress due to this, which causes mental illness such as depression, and social problems due to this are reaching a serious point. In particular, depression is one of the most consistent and powerful predictors of several mental illnesses related to suicide. Therefore, it is very important to judge the likelihood of suicide when treating a depressed patient. Meanwhile, asymmetrical electroencephalographic (EEG) in the frontal lobe has been extensively studied as an attempt to understand the causes of depression and to identify those most susceptible to mental illness. For example, in patients with depression, an increase in alpha band activity (8-12 Hz) in the right frontal region compared to the left frontal region was confirmed by asymmetric EEG, which is enhanced alpha power. ) Has been shown to reflect a decrease in cortical activity in the corresponding brain region. In addition, hypoactivation of the left frontal hemisphere has been reported in patients with depression. In other words, it has been shown that the alpha power of the frontal region is asymmetric in patients with depression.

Meanwhile, the relationship between frontal alpha asymmetry and several cortical regions has been extensively investigated. Several cortical regions are the dorsolateral prefrontal cortex (DLPFC), ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), and rostral anterior cingulate cortex (DLPFC). rACC) and subgenual anterior cingulate (sgACC). Impairment of DLPFC and vmPFC is associated with a lack of automatic processing and negative emotional control of emotionally related stimuli. In addition, patients with major depressive disorder (MDD) showed reduced perfusion or metabolic activit in DLPFC, and hypoperfusion or hypometabolism in ACC, which was left It is thought to be a by-product of cortical volume reduction of sgACC. In addition, it has been reported that decreased orbital prefrontal cortex and impaired function are associated with increased impulsivity and aggression in response to suicidal vulnerability.

In other words, based on the above-identified matters, it is strongly assumed that there is a certain relationship between alpha asymmetry and depression, and depression and suicide, but the relationship between alpha asymmetry and suicidal behavior has not been properly studied. Since the psychological diagnosis using the above relationship is not performed, suicide prediction is still difficult and there is an incomplete problem.

KR 10-2014-0077261 (released on June 24, 2014)

The present invention has been devised to solve the above problems, and provides a method for predicting the likelihood of suicidal behavior in patients with major depressive disorders using alpha asymmetry in order to prevent suicidal behavior attempts by depressed patients. There is this.

According to various embodiments of the present disclosure, a method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry may include classifying a plurality of depressed patients into a left brain type (LD) group and a right brain type (RD) group; Measuring an EEG signal in a region of interest (ROI) related to frontal alpha asymmetry of the plurality of depressed patients; Calculating an asymmetry index of a low-alpha band and a high-alpha band from the EEG signal; Determining an asymmetry index of a low alpha band of a depressed patient belonging to the left brain group and a high alpha band of a depressive patient belonging to the right brain group; And predicting the suicidal behavior of the depressed patient by using the asymmetry index of the low alpha band and the asymmetry index of the high alpha band.

As described above, the method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry according to the present invention can predict suicidal behavior of a depressed patient using frontal alpha asymmetry.

1 is a table showing the alpha asymmetry index in the frontal region of patients participating in the experiment.
2 shows the asymmetry index of the alpha band of the left frontal group and the right frontal group.
3 shows a region of interest (ROI) for examining the relationship between the asymmetry of the alpha band source activity and suicidal behavior.
4 is a table showing the relationship between alpha asymmetry and suicidal behavior in a region of interest in the cortex.
Figure 5 shows the comparison between cognitive flexibility, ruminative tendencies, previous suicide attempts and SBQ-R scores.
6 is a flowchart illustrating a method of predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings. Further, in describing an embodiment of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, terms to be described later are terms defined in consideration of the functions of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout the present specification.

A preferred embodiment of a high frequency output system based on a fat layer thickness according to the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms. It is provided to inform you.

The causal relationship and effect of the present invention are understood and confirmed through experiments and measurements to be described below. Therefore, first of all, the research that led to the present invention will be described. The following study was carried out predicting that frontal alpha asymmetry would function as a biomarker of suicidal behavior.

Research on EEG alpha power needs to divide the alpha band into two sub-bands, namely, low alpha (8-10 Hz) and high alpha (10-12 Hz). There is. Low alpha is expected to represent diffused attentional and brain-state phenomenon, and high alpha is expected to represent localized and task-specific cognition. .

To confirm the association between frontal alpha asymmetry and suicidal behavior, first of all, the study was conducted under the assumption that suicidal behavior was related to the relative alpha power in the left hemisphere compared to the right hemisphere. More specifically, the study was conducted under the assumption that a low alpha band would be associated with suicidal behavior. In addition, it was assumed that suicidal behavior was correlated with the relative alpha power in the left hemisphere compared to the right hemisphere. More specifically, we assumed that low-alpha bands were associated with suicide. We also hypothesized that rumination or rumination and cognitive flexibility are related to suicidal behavior and will be reflected in the corresponding cortical regions.

66 participants with Major Depressive Disorder (MDD) were included in the study. The initial analysis included a total of 15 men (22.7%) and 51 women (77.3%). The average age was 44.77 years (SD=13.62, range: 19-65), and the average duration of education was 12.77 years (SD=6.41). 24 participants (36.4%) reported having attempted suicide more than once, and 42 participants (63.6%) did not attempt suicide. All participants were right-handed and had no history of psychotic symptoms or bipolar disorder.

Although all participants were diagnosed with MDD, some participants exhibited frontal alpha asymmetry as opposed to the typical pattern identified in previous studies conducted in MDD. (E.g., alpha power in the right hemisphere, which is relatively high compared to the left) Therefore, 9 groups (3 electrode regions (FP1-FP2, F3-4, F7-F8)) × 3 frequency bands (low alpha, high alpha , Alpha)) was generated based on the median asymmetry indices of the alpha bands of each region of interest (ROI). For example, FP1-FP2 is low alpha 1.80, high alpha 1.13, alpha 1.24, F3-F4 is low alpha 2.79, high alpha 2.49, alpha 2.66, F7-F8 is low alpha 5.22, high alpha 4.14, alpha 4.52. All participants were divided into either the left-dominant (LD) or right-dominant (RD) group for the three band frequencies of each site. Ten of the 66 participants were excluded because they were not included in the group, and a total of 56 participants were included in the final analysis.

Cognitive flexibility in this study was measured using the Korean version of the Cognitive Flexibility Inventory (CFI). The scale can be divided into two sub-classes (control sub-class, alternative sub-class), and two sub-classes measure the ability to control problem situations and find alternative solutions in adverse situations. A total of 19 questions were measured with a 7-point Likert scale, and the higher the total score, the greater the cognitive flexibility. In the current study, the alternative subclass, control subclass, and full test were 87, 90 and 91, respectively.

Focused attention was assessed by the Korean version of the Rumination Reflection Questionnaire (RRVI). Rumination is defined as a fixation of negative thoughts, while reflection is defined as a positive tendency towards tolerance and self-growth. It can be asked to measure characteristics (RRQT) and status (RRQS). The rumination and reflection questionnaire were each composed of 12 items, and were measured on a 5-point Likert scale. In this study, not only local rumination and speculation, but also state rumination and speculation were measured. The rumination (α = .82), deliberation (α = .81) and the full questionnaire (α = .86) all showed high internal consistencies.

The severity of depression was evaluated using the Korean version of Beck Depression Inventory II (BDI-II), which is a commonly used self-assessed inventory and includes four Likert grades. The Korean version of BDI-II showed high Cronbach's alpha ((α = .85)) and test-retest reliability (r = .75)). The internal consistency of the current sample was α = .95.

Anxiety was measured with the Korean version of the Beck Anxiety Inventory (BAI), a self-report questionnaire consisting of 21 items. The internal consistency and test retest reliability were 0.93 and 0.84, respectively, and the Kronbach alpha value for the current sample was 0.94.

The Korean version of the revised version of the Suicidal Behavior Questionnaire (SBQ-R) was used to measure suicidal behavior. The SBQ-R consists of four items that measure different dimensions of suicide. The four items above consist of 1) suicidal thoughts and attempts during a lifetime, 2) frequency of suicidal thoughts over the past 12 months, 3) threat of suicidal behavior, and 4) possibility of suicidal behavior by self-report. The total score for SBQ-R ranged from 3 to 18, and the Kronbach alpha values for the Korean version of SBQ-R were α = .93 and α = .85 for the current sample.

On the other hand, EEG recording and quantitative electroencephalography (qeeg) analysis of the subjects of the experiment were performed. Specifically, during the EEG recording, the subject sat in a comfortable chair in a room with limited sound. EEG was recorded as the eyes were opened and then closed for 3 minutes. EEG signals are NeuroScan SynAmps Amplifier (Compumedics USA, E1 Paso, TX, USA) and 62 surface electrodes (FP1, FPZ, FP2, AF3, AF4, F7, F5, F3, F1, FZ, F2, F4, F4, FC6) , FC6, FT8, T7, C5, C3, C1, CZ, C2, C4, C6, T8, TP7, CP5, CP3, CP1, CPZ, CP2, CP4, CP6, TP8, P7, P5, P3, P1, PZ , P2, P4, P6, P8, PO7, PO5, PO3, POZ, PO4, PO6, PO8, CB1, O1, OZ, O2, and CB2). 62 surface electrodes are mounted on Quik Cap using the international 10-20 placement scheme. The ground electrode is located on the forehead and the reference electrode is defined as Cz. Vertical electrooculogram (EOG) electrodes were attached above and below the left eye, and 7 horizontal safety levels (horizontal EOG) were recorded on both outer sides of both eyes. The impedance was kept below 5 kΩ. All data were processed with a 0.1-100 Hz band pass filter with a sampling rate of 1,000 Hz.

EEG data was preprocessed using SCAN 4.3 software. Eye movements and artifacts were screened by trained individuals without prior knowledge. Open eye data is used for analysis. The EEG data were divided into epochs less than 2 seconds (2,048 points) in length, and epochs with signals exceeding ± 100 μV in any channel were excluded from further analysis. A total of 30 epochs (less than 60 seconds) were prepared for each participant. Fast Fourier transformation (FFT) was performed every 62 electrode channels for power spectral analysis. After FFT analysis for each epoch, the resulting spectral power was averaged over 30 epochs. The band power was calculated as three frequency bands. The three frequency bands are low alpha (8-10 Hz), high alpha (10-12 Hz) and total alpha (8-12 Hz). In the asymmetry analysis, the low side (8-10 Hz) and high side (10-12 Hz) of the alpha frequency band were examined.

Frontal alpha asymmetry was measured at 3 pairs of sites. The three pairs of sites include the pre-frontal ((FP1-FP2)), mid-frontal (F3-F4) and lateral-frontal (F7-F8)). To measure the alpha asymmetry, the ratio of the corresponding frequency bands of the left and right hemispheres was compared. More specifically, the difference between the two hemispheres is divided by the sum (i.e., alpha asymmetry = (P left-P right) / (P left + P right) × 100, P left and P right are absolute powers). An asymmetry value of 0 indicates that the alpha power and brain activity are the same in both hemispheres. Positive asymmetry values indicate greater alpha power and low activity in the left hemisphere. Negative asymmetry values indicate greater alpha power and low activity in the right hemisphere.

Source activity analysis was also used in this study. Specifically, Standardized low-resolution brain electromagnetic tomography (sLORETA) was used to calculate the cortical distribution of the standardized source current density of the resting brain source over the frequency domain. sLORETA is a representative source imaging method used to solve the EEG inverse problem. sLORETA assumes that the source activation of a voxel is similar to that of the surrounding voxels to calculate a specific solution and applies the appropriate normalization of the current density. The lead field matrix is a realistic head model segmented based on the Montreal Neurological Institute (MNI) 152 standard template, where the three-dimensional solution space is limited to cortical gray matter and hippocampus 49. ). The solution space consisted of 6,239 voxels with 5mm resolution. Anatomical labels such as the Brodmann region provided an appropriate transformation from MNI to Talairach space 50.

Hereinafter, the present invention will be described in more detail with reference to FIGS. 1 to 5. 1 is a table showing the alpha asymmetry index in the anterior region of patients participating in the experiment. 2 shows the asymmetry index of the alpha band of the left frontal group and the right frontal group. 3 shows a region of interest (ROI) for examining the relationship between the asymmetry of the alpha-band source activity and suicidal behavior. 4 is a table showing the relationship between alpha asymmetry and suicidal behavior in a region of interest in the cortex. Figure 5 shows the cognitive flexibility, 　examination 　 tendency, 　previous 　 suicide 　 attempt 　 and 　 SBQ-R　 scoring 　 comparison.

Specifically, the frontal 　 alpha 　 asymmetry 　 related 　 areas of interest (ROIs) was the result of the previous 　 neuroimaging 　 source 　 localization 　 study, 　 dorsal lateral 　 prefrontal prefrontal cortex, dorsolateral prefrontal cortex, dorso temporal cortex Ventromedial prefrontal cortex (vmPFC), 　anterior cingulate cortex (ACC), rostral ACC (racC), 　 and 　 according to subgenual ACC (sgACC) were selected. In addition, 　 in individuals who attempted suicide 　 　 cognitive deficits (e.g. 　 rigidity, 　 impulsivity, 　 decision 　) and 　 related 　 orbito 　 corbitoaltex (OF) was examined. The 　source 　 activity of 　ROI was extracted in the low-alpha, high-alpha, 　 and 　 total 　 alpha 　 frequency 　 band. We computed the 　alpha 　 asymmetric 　 indexes for each 　ROI 　 using the source 　 activity 　 from two 　 hemispheres.

Spearman's 　correlation 　 relation 　 analysis was performed in accordance with 　 asymmetry 　 indices and 　 to investigate the 　 association between psychological 　 measures 　 5,000 　 bootstrap 　 resampling 　 technique. An analysis was performed between the 　 psychological 　 measurement and the asymmetry 　 indexes 　 based on the 　 created 　 by the median split 　 and the correlation 　 relation 　 analysis. Within these 　groups 　, 　correlation 　 relationships between SBQR　 and 　alpha 　 asymmetry 　 indices (i.e. low alpha 　 asymmetry, 　 high alpha 　 asymmetric 　 and 　 alpha 　 asymmetry) were investigated in 　 each 　 ROI. After that, 　Independent 　 t-tests 　 were conducted, and 　cognitive flexibility 　 trait 　 and 　 state 　 　 score of 　 suicide 　 according to the 　 　 and knowledge of different SB 　 　 in the past 　Was investigated.

　Technical 　 statistics for 　psychological 　 measurements, 　 low alpha, 　 high alpha, and 　 asymmetry 　 indices in the frontal 　 domain are disclosed in Fig. 1. For CFI, RRQS, RRQT, BDI-II, BAI　 and 　SBQR, the mean 　 and 　 standard 　 deviations were 　, respectively 　81.36　±　19.04, 70.73　±12.34, 75.94　±22. The 　 mean 　 and 　 standard 　 deviation of the 　 asymmetry 　 indices at each 　 front 　 part are as follows 　. FP1-FP2 (α　: .63±　6.57, 　low alpha　: 0.91　±　7.68, 　 high alpha　: .48　±　6.32); F3-F4 (alpha　: 1.91　±　4.66, 　low alpha　: 2.47　±　5.98, 　 high alpha　: 1.54　±　4.83); F7-F8 (alpha　: 4.33　±　7.40, 　low alpha　: 4.96±　9.29, 　high alpha　: 3.88　±　6.98). The asymmetry 　 indices 　 in the 　 left 　 hemisphere 　 relatively 　 high 　 alpha 　 activity 　, and this is 　 depressive 　 patient's 　 previous 　 research 　 results and 　 results 　

On the other hand, the 　correlation 　 relationship between 　 asymmetric 　 indexes and 　 suicide 　 behavior 　 was investigated based on the 　 group created 　 as the 　 median 　 value of the 　 asymmetric 　 indices. In FP1-FP2 　 and 　 F3-F4, 　correlation 　 was not found 　. However, in 　F7-F8, 　significant 　 correlation 　 appeared. In the left 　 frontal 　 area 　 alpha 　 activity 　 more 　 in people 　 low alpha 　 band 　 asymmetry 　 index was 　 suicide 　 behavior and 　 positive 　 correlation 　 relation 　 (r=.462, p=.013) In the right 　 frontal 　 area, the 　 asymmetry 　 index of 　 high alpha 　 band had 　 suicide 　 behavior 　 positive 　 correlation 　 in people who had 　 more 　 more 　 (refer to r=.422, p=0.025, p=0.025, 　)

Fig. 3 shows the ROI of the source, the level, and the analysis. In F7-F8, there is a 　correlation 　 relationship 　 between 　 and 　 suicide 　 behavior of each 　ROI in the 　 and 　 right brain type (RD) 　 groups 　 in F7-F8. In the RD 　 group, 　notable 　significant 　correlation 　 was not found 　. On the other hand, 　 suicide 　 was positively correlated with 　 asymmetry 　 index of 　 low alpha 　 band (r=.389, p=.040) and alpha 　 band (r=.383, p=.044) in 　ACC of LD 　 group. In addition, not only the 　asymmetry index of 　low alpha 　 band (r=.463, p=.013), 　 high alpha 　 band (r=.488, p=0.008) in 　rACC and 　 alpha 　 band (r=.483, p=.009) The asymmetry index of the low alpha band (r=.516, p=0.005), the high alpha band (r=.442, p=0.018) and the alpha band (r=.464 p=.013) in DLPFC is LD. There was a 　 suicide 　 behavior and 　 positive 　 correlation 　 in the group. Finally, 　 suicide 　 behavior 　 also 　 in vmPFC 　 asymmetry 　 index (r=.428, p=.023) of low alpha band and 　 asymmetry 　 index of 　 low alpha 　 band (r=.413, p=.029 in the OFC) There was a relationship. On the other hand, in 　sgACC, there was no relation between 　 suicide 　 and 　 alpha 　 asymmetry 　 exponential 　 significant 　 correlation 　.

FIG. 5 shows 　cognitive flexibility, 　ruminative tendencies, 　previous 　 suicide 　 attempt 　 and 　 SBQ-R　 scoring 　 comparison. Previous 　 suicide 　 　 people 　 trait rumination 　 (t=-3.010, p=0.004), state 11 rumination 　 (t=-2.496, p=.015), RR and 　=-2.390, p=.020) 　 significantly 　 high 　 score 　, 　 previous 　 suicide 　 attempted 　 man's 　 control 　 subscale 　CFI (t=2.866, p=.006) and overall CFI (t=2.866, p=.006) )'S 　 score was 　 considerably lower 　 compared to 　 who had no suicide 　 attempts 　. The difference was more pronounced when the 　comparison 　 group was 　 divided by the SBQ-R score 　. People who received 　 higher 　 scores 　 in SBQ-R 　 trait rumination 　 (t=-3.418, p=.001), 　 state 　 state rumination 　 (t=-3.673, p<.001), RRQT (total 　RRQT) t=p =.013) and RRQS (t=-2.264, p=.027) 　 high 　 score 　, 　 control 　 sub-scale (t=3.673, p<.001), 　 alternative 　 sub-scale (t=2.193, p= .032) In 　 and 　 overall 　CFI (t=3.502, p=.001), the 　SBQ-R　 score was 　 lower 　 than the people 　 and significantly 　 significantly lower.

According to a study carried out as described above: 1) sensory level analysis (sensory level analysis) has showed a significant positive correlation between the alpha asymmetry index and the suicide of the LD group in the low Alpha band, alpha asymmetry and alpha bands The index and the 　RD 　 group's 　 suicide 　 also showed a meaningful 　 positive 　 correlation 　 relationship. 2) 　Source 　 level 　 analysis (source level analysis) showed a significant positive 　 correlation 　 relationship 　 between 　 alpha 　 asymmetry 　 index and 　 suicide 　 behavior in the LD 　 group, but not in the RD 　 group. 3) Individuals who want to commit suicide received a high score in the style of 　measurement of 　 and 　 inflexible 　 compared to 　 not 　 individual 　.

In LD 　 group, 　 alpha 　 asymmetry 　 index of 　 low alpha 　 band had a positive correlation 　 relationship with suicide 　 behavior. In contrast, the 　alpha 　 asymmetric 　 index of the 　 high alpha 　 band had a positive relation 　 with the 　 suicide 　 behavior of the 　RD　 group. In the study conducted above, the LD group showed a left 　 frontal 　 hemisphere 　 right 　 frontal 　 relative 　 relative 　 greater alpha 　 power.

Our 　 results show 　DLPFC, vmPFC, ACC (including rACC 　 and sgACC 　) 　 and 　OFC 　 alpha 　 asymmetric 　 index and 　 LD 　 in group 　 group suicide 　 not in relation 　 Rd 　The most consistent 　 relationship was observed between 　alpha 　 asymmetry index of 　low alpha 　 band and 　 suicide 　 behavior 　. These 　 results indicate that the 　 suicide 　 risk increases 　 in the left 　 frontal 　 hemisphere 　 low frequency 　 alpha 　 with 　 relative strength 　 in the band. In particular, the 　reduced 　activity in the left DLPFC was shown to be related 　 to the tendency 　 to interpret 　 emotional 　 　 negatively 　 in 　 MDD 　 patients. For example, in 　Disner et al. (2011) 　Study, 　Negative emotional 　 interpretation 　 is a by-product 　 tendency 　 to be considered for examination 　, and these 　 by-products 　 left 　DLPFC 54 　 reflects the hypoactivation 　 　It is also claimed that the 　rACC's 　abnormal 　cortical activity 　 positive 　 suppression 　 　 depression and 　 lead 　 to individuals 　 review 　 trend 　.

At the same time, a significant reduction in the 　 gray matter 　 substances in the left 　 DLPFC 　 and 　rACC was seen in the 　 attempting suicide 　. Other 　 studies, Jollant et al. In (2010), 　 Previously 　 suicide 　 　 individual 　 dangerous 　 task 　 performed 　 left 　 OFC 　 activity 　 showed a decrease Also, 　OFC's 　defects 　indirectly lead to 　 increase in suicide 　 risk 　 impulse 　23, 224 　 more severe.

Lastly, in the above-mentioned study, it was found that patients with depression, suffer from suicide, impulse, and patients without depression, have a higher degree of ruminative tendencies and cognitive flexibility than those who do not have depression. These 　 results are in agreement with the previous 　 studies 　 on the 　 cognitive rigidity of 　 attempting to commit suicide 　.

Therefore, 　 above 　 research 　 　 alpha 　 asymmetry and 　 suicide 　 　 research 　 direct 　 researched 　 a few 　 research 　 one, and 　 various 　 cortex 　 exploration of the 　 　 　 　 the relationship between the first 　 and the secret 　 　 　 to know the relationship between the 　That is, the present invention provides individual DLPFC, vmPFC, ACC, and indicates that the relative alpha power increases from the left hemisphere of rACC and OFC, which ruminant inclination (ruminative tendencies), and that the rigidity (cognitive rigidity) with depression and suicidal thoughts There are 　 to reflect 　 　. Therefore, it can be concluded that 　this 　 study 　low alpha 　 band 　 alpha 　 asymmetry 　 functions as a 　 biomarker of suicide 　 risk.

6 is a flowchart illustrating a method of predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry according to an embodiment of the present invention.

6, in operation 61, a method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry according to an embodiment of the present invention includes a plurality of depressed patients with a left brain type (LD) group and a right brain type. It can be classified into (RD) groups. The LD group and the RD group can be classified in advance according to three factors: a low-alpha band, a high-alpha band, and an alpha band measured in the frontal region of interest of patients.

In operation 62, the method of the present invention may measure an EEG signal in a region of interest (ROI) associated with frontal alpha asymmetry of a plurality of depressed patients. Regions of interest are the dorsolateral prefrontal cortex (DLPFC), ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), rostral ACC (racC), and subgenual. It may be ACC (sgACC).

In operation 63, the method of the present invention may calculate an asymmetry index of the low alpha band and the high alpha band in the EEG signal.

In operation 64, the method of the present invention can determine the asymmetry index of the low alpha band of the depressed patient belonging to the left brain group and the high alpha band of the depressed patient belonging to the right brain group.

In operation 65, the method of the present invention may predict the suicidal behavior of the depressed patient by using the asymmetry index of the low alpha band and the asymmetry index of the high alpha band. For example, when the asymmetry index of the low alpha band is high, the suicidal behavior of a depressed patient belonging to the left brain type group can be predicted. In addition, when the asymmetry index of the high alpha band is high, the suicidal behavior of depressed patients belonging to the right brain group can be predicted.

According to various embodiments of the present disclosure, a method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry may include classifying a plurality of depressed patients into a left brain type (LD) group and a right brain type (RD) group; Measuring an EEG signal in a region of interest (ROI) related to frontal alpha asymmetry of the plurality of depressed patients; Calculating an asymmetry index of a low-alpha band and a high-alpha band from the EEG signal; Determining an asymmetry index of a low alpha band of a depressed patient belonging to the left brain group and a high alpha band of a depressive patient belonging to the right brain group; And predicting the suicidal behavior of the depressed patient by using the asymmetry index of the low alpha band and the asymmetry index of the high alpha band.

According to various embodiments of the present disclosure, the method may further include predicting a suicidal behavior of a depressed patient belonging to the left brain type group when the asymmetry index of the low alpha band is high.

According to various embodiments of the present disclosure, the method may further include predicting a suicidal behavior of a depressed patient belonging to the right brain group when the asymmetry index of the high alpha band is high.

In the above, the present invention has been described by specific matters such as specific components and limited embodiments and drawings, but this is provided only to help a more general understanding of the present invention, and the present invention is limited to the above embodiments. No, a person having ordinary knowledge in the technical field to which the present invention pertains can make various modifications and variations from these descriptions.

Therefore, the spirit of the present invention is limited to the above-described embodiments and should not be defined, and all modifications equivalently or equivalently to the claims as well as the claims to be described later belong to the scope of the spirit of the present invention. will be.

Claims (3)

Electrodes respectively installed in three pairs of the frontal (pre-frontal, (FP1-FP2)), mid-frontal (F3-F4) and lateral-frontal (F7-F8), respectively, the above In a method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry using a measuring unit and a determination unit for sensing a frequency sensed by an electrode,
Classifying a plurality of depressed patients into a left-brain type (LD) group and a right-brain type (RD) group by a determination unit receiving a signal from a measurement unit that senses a frequency sensed by the electrode;
In the region of interest (ROI) related to the frontal alpha asymmetry of the plurality of depressed patients, the measurement unit includes three frequency bands, low alpha (8-10 Hz), high alpha (10-12 Hz), and total alpha (8-12 Hz). ) Measuring the EEG signal;
The determination unit calculating an asymmetry index of a low-alpha band and a high-alpha band from the EEG signal;
Confirming an asymmetry index of a low alpha band of a depressed patient belonging to the left brain group and a high alpha band of a depressive patient belonging to the right brain group; And
It characterized in that it comprises the step of predicting the suicidal behavior of the depressed patient by using the asymmetry index of the low alpha band and the asymmetry index of the high alpha band,
The ROI is the dorsolateral prefrontal cortex (DLPFC), ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), rostral ACC (racC). ), characterized in that it is a subgenual ACC (sgACC),
The asymmetry index is characterized in that it is specified by the following equation,
(P left- P right) / (P left + P right) × 100, P left and P right are absolute powers)
Each of the mean and standard deviation of the asymmetry index of the low alpha band of the depressed patient belonging to the left brain type group is greater than the mean and standard deviation of the asymmetry index of the high alpha band, and at the same time greater than the mean and standard deviation of the asymmetry index of the total alpha band. In case of predicting the suicidal behavior of a depressed patient belonging to the left brain type group,
Each of the mean and standard deviation of the asymmetry index of the high alpha band of the depressed patient belonging to the right brain group is greater than the mean and standard deviation of the asymmetry index of the low alpha band, and at the same time, is greater than the mean and standard deviation of the asymmetry index of the total alpha band. A method for predicting suicidal behavior in major depressive disorders based on frontal alpha asymmetry and frontal lobe activity asymmetry, characterized in that predicting suicidal behavior of a depressed patient belonging to the right brain group.
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