Probing Prefrontal Cortex Hemodynamic Alterations for Major Depression Disorder (MDD)
2018년 7월 11일 업데이트: Xijing Hospital
Probing Prefrontal Cortex Hemodynamic Alterations During Facial Emotion Recognition for Major Depression Disorder Through Functional Near-infrared Spectroscopy
Major depression disorder (MDD) has high estimated lifetime prevalence rates of 16.6%.
Currently, the diagnosis for the MDD mainly depends on patients' reports of symptoms, observed behaviors and disease course.
Establishment of clinically useful biomarkers for the MDD diagnosis would enhance patient management and treatment effect, and lead to the therapies adjusted to the individual.
However, no such biomarkers have been established up to now.
Therefore, the development of objective and feasible biomarkers is of special significance and a great challenge for accurate and early diagnosis and treatment of depression, in order to overcome the limitations of relying on clinical interviews alone.The ability to correctly recognize emotional states from faces is instrumental for interpersonal engagement and social functioning.
Impairments processing of facial emotional expressions and biased facial emotion detection are frequently found in the MDD patients.
To date, the studies on neural mechanism of the facial emotion recognition of the MDD patients were mainly based on the functional magnetic resonance imaging (fMRI).
Functional near-infrared spectroscopy (fNIRS) has not been applied for the facial emotion recognition for the depression patients up to now.
To bridge the important gap in the literature, we used the fNIRS methodology to investigate the neural mechanisms of facial emotion recognition for the patients with depression.
We hypothesize the physiological feature of the hemodynamic responses in prefrontal cortex measured by fNIRS under the task of face emotion recognition, including the difference of the median, the Mayer wave power, the mean cross wavelet coefficient, and the mean wavelet coherence coefficient, combined with the behavior measurement (behavior accuracy and response time), could provide a reliable and feasible diagnosis approach to differentiate patients with the MDD from healthy control (HC) subjects with acceptable sensitivity and specificity.
연구 개요
상태
알려지지 않은
정황
상세 설명
The fMRI technique for functional imaging were limited by the fact that the individuals need to be placed in an uncomfortable or unnatural setting and foreign, noisy, dark, or claustrophobic environment (e.g., lying in a supine position in a narrow gantry with the head restrained during the entire examination), for accurate measurement during the procedure, with relatively lower temporal resolution.
In contrast, a multi-channel fNIRS machine provides a completely non-invasive, quiet and mobile measurement of brain function in ordinary clinical settings and allows patients to be comfortably seated in a normal posture in a well-lit room, with higher temporal resolution making it possible to obtain a recording of the actual time course of a hemodynamic epoch in response to a specific cognitive task (e.g., facial emotion recognition task in our study) in a single trial.
Additionally, due to the small operating and maintenance costs associated with NIRS, it is possible to run fNIRS study with a large sample of participants.
연구 유형
관찰
등록 (예상)
200
연락처 및 위치
이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.
연구 장소
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Shaanxi
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Xi'an, Shaanxi, 중국, 710032
- Department of psychiatry, Xijing Hospital; Research Institute of Biomedical Engineering, Xi'an Jiaotong University
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참여기준
연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.
자격 기준
공부할 수 있는 나이
18년 (성인)
건강한 자원 봉사자를 받아들입니다
아니
연구 대상 성별
모두
샘플링 방법
비확률 샘플
연구 인구
This study was performed in Xijing Hospital and Xi'an Jiaotong University in China.
100 right-handed subjects meeting DSM-IV criteria for major depression were recruited by advertisement to participate in the study, and were matched with a control group of 100 comparison subjects of university staff members, university students and members of the general population.
설명
Inclusion Criteria:
- MDD group:
All subjects were free of psychotropic medication for a minimum of 4 weeks; Psychiatric diagnosis was determined by DSM-IV criteria; Depressed subjects were included with 17-item Hamilton Rating Scale for Depression (HRSD) scores ≥ 18; Mini-mental State Examination(MMSE) ≥ 24; All subjects had normal or corrected-to-normal vision.
- HC group:
All subjects were free of psychotropic medication for a minimum of 4 weeks; All subjects did not have any mental, neurological or physical diseases；HRSD scores ≤ 7; MMSE ≥ 28; All subjects had normal or corrected-to-normal vision.
Exclusion Criteria:
- Exclusion criteria were any history of neurologic trauma resulting in loss of consciousness, any current neurologic disorder, any lifetime psychiatric disorder other than major depression in the MDD subjects, or any lifetime psychiatric disorder in control subjects. Careful attention was paid to excluding substance abuse disorders.
공부 계획
이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: 케이스 컨트롤
- 시간 관점: 유망한
코호트 및 개입
그룹/코호트 |
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MDD group
The major depression group (MDD group) received antidepressant treatment but did not interfere with drug selection.
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HC group
The healthy control group (HC group) don't accept intervention and treatment.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Hamilton Depression Scale-17(HAMD-17) score alterations
기간: Change from baseline HAMD-17 scores at 6 months
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The HAMD-17 scores are to evaluate the severity degree of depression, and the HAMD-17 scores reduction rate is used to evaluate the clinical treatment effect.
If the reduction rate exceeds 50%, it indicates that the clinical treatment is effective.
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Change from baseline HAMD-17 scores at 6 months
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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facial emotion recognition
기간: Difference at facial emotion recognition between day 1 and month 6.
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The ability to correctly recognize emotional states from faces is instrumental for interpersonal engagement and social functioning.
Impairments processing of facial emotional expressions and biased facial emotion detection are frequently found in the MDD patients.
Functional near-infrared spectroscopy (fNIRS) has not been applied for the facial emotion recognition for the depression patients up to now.
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Difference at facial emotion recognition between day 1 and month 6.
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Pittsburgh Sleep Quality Index（PSQI）
기간: Difference at PSQI between day 1, month 3 and month 6.
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PSQI was used to assess the quality of sleep for subjects in the recent month.
The total score ranges from 0 to 21 points.
The higher the score, the worse the sleep quality.
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Difference at PSQI between day 1, month 3 and month 6.
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공동 작업자 및 조사자
여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.
스폰서
수사관
- 연구 의자: Huaning Wang, doctorate, Department of Psychiatry, Xijing Hospital
간행물 및 유용한 링크
연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.
일반 간행물
- Zwick JC, Wolkenstein L. Facial emotion recognition, theory of mind and the role of facial mimicry in depression. J Affect Disord. 2017 Mar 1;210:90-99. doi: 10.1016/j.jad.2016.12.022. Epub 2016 Dec 19.
- Tsuchida A, Fellows LK. Are you upset? Distinct roles for orbitofrontal and lateral prefrontal cortex in detecting and distinguishing facial expressions of emotion. Cereb Cortex. 2012 Dec;22(12):2904-12. doi: 10.1093/cercor/bhr370. Epub 2012 Jan 5.
- Takizawa R, Fukuda M, Kawasaki S, Kasai K, Mimura M, Pu S, Noda T, Niwa S, Okazaki Y; Joint Project for Psychiatric Application of Near-Infrared Spectroscopy (JPSY-NIRS) Group. Neuroimaging-aided differential diagnosis of the depressive state. Neuroimage. 2014 Jan 15;85 Pt 1:498-507. doi: 10.1016/j.neuroimage.2013.05.126. Epub 2013 Jun 10. Erratum In: Neuroimage. 2015 Apr 1;109:530.
연구 기록 날짜
이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.
연구 주요 날짜
연구 시작 (실제)
2017년 2월 16일
기본 완료 (예상)
2018년 8월 31일
연구 완료 (예상)
2018년 12월 31일
연구 등록 날짜
최초 제출
2018년 6월 24일
QC 기준을 충족하는 최초 제출
2018년 7월 11일
처음 게시됨 (실제)
2018년 7월 23일
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
2018년 7월 23일
QC 기준을 충족하는 마지막 업데이트 제출
2018년 7월 11일
마지막으로 확인됨
2018년 2월 1일
추가 정보
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