Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

英文中文

Rumination and Overrecruitment of Cognitive Control Circuits in Depression 抑郁症患者的反刍和认知控制回路的过度招募

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/j.bpsc.2024.04.013

Background

Rumination is associated with greater cognitive dysfunction and treatment resistance in major depressive disorder (MDD), but its underlying neural mechanisms are not well understood. Because rumination is characterized by difficulty in controlling negative thoughts, the current study investigated whether rumination was associated with aberrant cognitive control in the absence of negative emotional information.

Methods

Individuals with MDD (n = 176) and healthy control individuals (n = 52) completed the stop signal task with varied stop signal difficulty during functional magnetic resonance imaging. In the task, a longer stop signal asynchrony made stopping difficult (hard stop), whereas a shorter stop signal asynchrony allowed more time for stopping (easy stop).

Results

In participants with MDD, higher rumination intensity was associated with greater neural activity in response to difficult inhibitory control in the frontoparietal regions. Greater activation for difficult inhibitory control associated with rumination was also positively related to state fear. The imaging results provide compelling evidence for the neural basis of inhibitory control difficulties in individuals with MDD with high rumination.

Conclusions

The association between higher rumination intensity and greater neural activity in regions involved in difficult inhibitory control tasks may provide treatment targets for interventions aimed at improving inhibitory control and reducing rumination in this population.

背景：反刍与重度抑郁障碍（MDD）患者的认知功能障碍和治疗抵抗有关，但其潜在的神经机制尚不十分清楚。由于反刍的特点是难以控制消极想法，本研究调查了反刍是否与没有消极情绪信息时的异常认知控制有关：方法：患有 MDD 的患者（人数=176）和健康志愿者（人数=52）在功能磁共振成像中完成不同停止信号难度的停止信号任务。在该任务中，较长的停止信号不同步会使停止变得困难（硬停止），而较短的停止信号不同步会使停止有更多的时间（易停止）：在 MDD 参与者中，反刍强度越高，前顶叶区域对困难抑制控制的神经活动越多。与反刍相关的高难度抑制控制激活也与状态恐惧呈正相关。成像结果提供了令人信服的证据，证明了反刍强度高的 MDD 患者抑制控制困难的神经基础：结论：反刍强度越高，参与困难抑制控制任务的区域的神经活动越强，这两者之间的关联可能会为旨在改善该人群抑制控制和减少反刍的干预措施提供治疗目标。

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引用次数: 0

Guide for Authors 作者指南

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/S2451-9022(24)00180-0

引用次数: 0

Alterations of Functional Connectivity Dynamics in Affective and Psychotic Disorders 情感障碍和精神障碍中的功能连接动态变化

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/j.bpsc.2024.02.013

Background

Patients with psychosis and patients with depression exhibit widespread neurobiological abnormalities. The analysis of dynamic functional connectivity (dFC) allows for the detection of changes in complex brain activity patterns, providing insights into common and unique processes underlying these disorders.

Methods

We report the analysis of dFC in a large sample including 127 patients at clinical high risk for psychosis, 142 patients with recent-onset psychosis, 134 patients with recent-onset depression, and 256 healthy control participants. A sliding window–based technique was used to calculate the time-dependent FC in resting-state magnetic resonance imaging data, followed by clustering to reveal recurrent FC states in each diagnostic group.

Results

We identified 5 unique FC states, which could be identified in all groups with high consistency (mean r = 0.889 [SD = 0.116]). Analysis of dynamic parameters of these states showed a characteristic increase in the lifetime and frequency of a weakly connected FC state in patients with recent-onset depression (p < .0005) compared with the other groups and a common increase in the lifetime of an FC state characterized by high sensorimotor and cingulo-opercular connectivities in all patient groups compared with the healthy control group (p < .0002). Canonical correlation analysis revealed a mode that exhibited significant correlations between dFC parameters and clinical variables (r = 0.617, p < .0029), which was associated with positive psychosis symptom severity and several dFC parameters.

Conclusions

Our findings indicate diagnosis-specific alterations of dFC and underline the potential of dynamic analysis to characterize disorders such as depression and psychosis and clinical risk states.

背景：精神病和抑郁症患者表现出广泛的神经生物学异常。通过分析动态功能连接（dFC），可以检测复杂大脑活动模式的变化，从而深入了解这些疾病的共同和独特过程：在本研究中，我们报告了对127名临床高危患者（CHR）、142名新近发病的精神病患者（ROP）、134名新近发病的抑郁症患者（ROD）和256名健康对照者（HC）等大样本患者的动态功能连通性分析。我们采用基于滑动窗口的技术计算静息态磁共振成像数据中随时间变化的FC，然后进行聚类以揭示每个诊断组中反复出现的FC状态：结果：我们发现了五种独特的 FC 状态，这些状态在所有组别中都能被识别，且一致性很高（rmean = 0.889，sd = 0.116）。对这些状态的动态参数分析表明，与大多数其他组别相比，ROD 患者弱连接 FC 状态的持续时间和频率增加（p < 0.0005），与 HC 组相比，所有患者组别中以高感觉运动和丘脑-小脑连接为特征的 FC 状态的持续时间普遍增加（p < 0.0002）。典型相关性分析表明，dFC参数与临床变量之间存在显著相关性（r = 0.617，p < 0.0029），该模式与阳性精神病症状严重程度和多个dFC参数相关：我们的研究结果表明，dFC的改变与诊断有关，并强调了动态分析在描述抑郁症、精神病和临床风险状态等疾病特征方面的潜力。

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引用次数: 0

Emotion-Induced Frontal Alpha Asymmetry as a Candidate Predictor of Relapse After Discontinuation of Antidepressant Medication 情绪诱导的额叶α不对称是预测停用抗抑郁药物后复发的候选指标。

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/j.bpsc.2024.05.001

Background

One in 3 patients relapse after antidepressant discontinuation. Thus, the prevention of relapse after achieving remission is an important component in the long-term management of major depressive disorder. However, no clinical or other predictors are established. Frontal reactivity to sad mood as measured by functional magnetic resonance imaging has been reported to relate to relapse independently of antidepressant discontinuation and is an interesting candidate predictor.

Methods

Patients (n = 56) who had remitted from a depressive episode while taking antidepressants underwent electroencephalography (EEG) recording during a sad mood induction procedure prior to gradually discontinuing their medication. Relapse was assessed over a 6-month follow-up period. Thirty five healthy control participants were also tested. Current source density of the EEG power in the alpha band (8–13 Hz) was extracted and alpha asymmetry was computed by comparing the power across 2 hemispheres at frontal electrodes (F5 and F6).

Results

Sad mood induction was robust across all groups. Reactivity of alpha asymmetry to sad mood did not distinguish healthy control participants from patients with remitted major depressive disorder on medication. However, the 14 (25%) patients who relapsed during the follow-up period after discontinuing medication showed significantly reduced reactivity in alpha asymmetry compared with patients who remained well. This EEG signal provided predictive power (69% out-of-sample balanced accuracy and a positive predictive value of 0.75).

Conclusions

A simple EEG-based measure of emotional reactivity may have potential to contribute to clinical prediction models of antidepressant discontinuation. Given the very small sample size, this finding must be interpreted with caution and requires replication in a larger study.

背景：三分之一的患者在停用抗抑郁药后会复发。因此，在获得缓解后防止复发是重度抑郁障碍（MDD）长期治疗的重要组成部分。然而，目前尚无临床或其他预测因素。有报道称，fMRI测量的额叶对悲伤情绪的反应与复发有关，与停用抗抑郁药无关，是一个有趣的候选预测指标：方法：服用抗抑郁药期间抑郁发作缓解的患者（n=56）在逐渐停药前接受了悲伤情绪诱导过程中的脑电图记录。在六个月的随访期间对复发情况进行了评估。同时还对 35 名健康对照者进行了测试。提取了α波段（8-13Hz）脑电图功率的电流源密度，并通过比较额部电极（F5和F6）两个半球的功率来计算α不对称：所有组的悲伤情绪诱导都很强烈。α-不对称性对悲伤情绪的反应性并未将健康对照组与药物治疗的缓解型 MDD 患者区分开来。然而，在停药后的随访期间，14 名（25%）复发患者的 α-不对称性反应性明显低于仍然良好的患者。该脑电图信号具有预测能力（样本外平衡准确率为 69%，阳性预测值为 0.75）：基于脑电图的简单情绪反应测量方法可能有助于建立抗抑郁药停药的临床预测模型。鉴于样本量非常小，必须谨慎解释这一发现，并需要在更大范围的研究中进行复制。

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引用次数: 0

Emerging Outlook on Personalized Neuromodulation for Depression: Insights From Tractography-Based Targeting 个性化神经调控治疗抑郁症的新前景：基于断层扫描的靶向治疗的启示。

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/j.bpsc.2024.04.007

Background

Deep brain stimulation has shown promise in treating individual patients with treatment-resistant depression, but larger-scale trials have been less successful. Here, we created what is, to our knowledge, the largest meta-analysis with individual patient data to date to explore whether the use of tractography enhances the efficacy of deep brain stimulation for treatment-resistant depression.

Methods

We systematically reviewed 1823 articles, selecting 32 that contributed data from 366 patients. We stratified the individual patient data based on stimulation target and use of tractography. Using 2-way type III analysis of variance, Welch’s 2-sample t tests, and mixed-effects linear regression models, we evaluated changes in depression severity 1 year (9–15 months) postoperatively and at last follow-up (4 weeks to 8 years) as assessed by depression scales.

Results

Tractography was used for medial forebrain bundle (MFB) (n = 17 tractography/32 total), subcallosal cingulate (SCC) (n = 39 tractography/241 total), and ventral capsule/ventral striatum (n = 3 tractography/41 total) targets; it was not used for bed nucleus of stria terminalis (n = 11), lateral habenula (n = 10), and inferior thalamic peduncle (n = 1). Across all patients, tractography significantly improved mean depression scores at 1 year (p < .001) and last follow-up (p = .009). Within the target cohorts, tractography improved depression scores at 1 year for both MFB and SCC, though significance was met only at the α = 0.1 level (SCC: β = 15.8%, p = .09; MFB: β = 52.4%, p = .10). Within the tractography cohort, patients with MFB tractography showed greater improvement than patients with SCC tractography (72.42 ± 7.17% vs. 54.78 ± 4.08%) at 1 year (p = .044).

Conclusions

Our findings underscore the promise of tractography in deep brain stimulation for treatment-resistant depression as a method for personalization of therapy, supporting its inclusion in future trials.

背景：脑深部刺激（DBS）在治疗抗药性抑郁症（TRD）方面已显示出个体疗效，但更大规模的试验却不太成功。在此，我们利用患者个体数据（IPD）进行了迄今为止最大规模的荟萃分析，以探讨使用脑束成像是否能增强 DBS 治疗 TRD 的疗效：我们系统回顾了1823篇文章，选择了32篇提供了366名患者数据的文章。我们根据刺激目标和束流成像的使用情况对 IPD 进行了分层。利用双向 III 型方差分析（ANOVA）、韦尔奇两样本 t 检验和混合效应线性回归模型，我们评估了手术后 9-15 个月（1-Y）和最后一次随访（LFU）（4 周 - 8 年）抑郁量表评估的抑郁严重程度的变化：内侧前脑束（MFB，n=17/32）、胼胝体下扣带回（SCC，n=39/241）和腹侧囊/内侧纹状体（VC/VS，n=3/41）靶点使用了牵引术；而纹状体末端床核（n=11）、外侧帽状体（n=10）和丘脑下蒂（n=1）未使用牵引术。在所有患者中，1-Y时的平均抑郁评分均有明显改善（p结论：我们的研究结果表明，DBS治疗TRD的束描有望成为个性化治疗的一种方法，支持将其纳入未来的试验中。

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引用次数: 0

Editorial Board Page 编辑委员会页面

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/S2451-9022(24)00176-9

引用次数: 0

Subscribers' Page 订阅者页面

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/S2451-9022(24)00177-0

引用次数: 0

Transdiagnostic Mood, Anxiety, and Trauma Symptom Factors in Alcohol Use Disorder: Neural Correlates Across 3 Brain Networks 酒精使用障碍中的跨诊断情绪、焦虑和创伤症状因素：三个脑网络的神经相关性。

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/j.bpsc.2024.01.013

Background

Alcohol use disorder (AUD) is associated with high rates of trauma, mood, and anxiety disorders. Across these diagnoses, individual symptoms substantially overlap, highlighting the need for a transdiagnostic approach. Furthermore, there is limited research on how transdiagnostic psychopathology impacts the neural correlates of AUD. Thus, we aimed to identify symptom factors spanning diagnoses and examine how they relate to the neurocircuitry of addiction.

Methods

Eighty-six veterans with AUD completed self-report measures and reward, incentive salience, and cognitive control functional magnetic resonance imaging tasks. Factor analysis was performed on self-reported trauma, depression, anxiety, and stress symptoms to obtain transdiagnostic symptom compositions. Neural correlates of a priori–defined regions of interest in the 3 networks were assessed. Independent sample t tests were used to compare the same nodes by DSM-5 diagnosis.

Results

Four symptom factors were identified: Trauma distress, Negative affect, Hyperarousal, and Somatic anxiety. Trauma distress score was associated with increased cognitive control activity during response inhibition (dorsal anterior cingulate cortex). Negative affect was related to lower activation in reward regions (right caudate) but higher activation in cognitive control regions during response inhibition (left dorsolateral prefrontal cortex). Hyperarousal was related to lower reward activity during monetary reward anticipation (left caudate, right caudate). Somatic anxiety was not significantly associated with brain activation. No difference in neural activity was found by posttraumatic stress disorder, major depressive disorder, or generalized anxiety disorder diagnosis.

Conclusions

These hypothesis-generating findings offer transdiagnostic symptom factors that are differentially associated with neural function and could guide us toward a brain-based classification of psychiatric dysfunction in AUD. Results warrant further investigation of transdiagnostic approaches in addiction.

背景：酒精使用障碍（AUD）与创伤、情绪和焦虑障碍的高发相关。各个症状在不同诊断中高度重叠，凸显了跨诊断方法的必要性。此外，关于跨诊断精神病理学如何影响 AUD 神经相关因素的研究也很有限。因此，我们旨在确定跨诊断的症状因素及其与成瘾神经回路的关系：86名患有AUD的退伍军人完成了自我报告测量以及奖励、激励显著性和认知控制fMRI任务。对自我报告的创伤、抑郁、焦虑和压力症状进行因子分析，以获得跨诊断的症状构成。评估了三个网络中预先确定的感兴趣区域的神经相关性。根据 DSM-5 诊断对相同节点进行了独立样本 t 检验：结果：确定了四个症状因素：创伤困扰、负面情绪、过度焦虑和躯体焦虑。创伤痛苦得分与反应抑制过程中认知控制活动区域（dACC）的增加有关。负性情绪与奖赏区（尾状核）的低激活度有关，但与反应抑制时认知控制区（大脑下部前交叉区）的高激活度有关。过度焦虑与金钱奖赏预期期间较低的奖赏活动有关（尾状核左侧、尾状核右侧），躯体焦虑与大脑激活没有显著关联。创伤后应激障碍、多发性抑郁症或严重情感障碍诊断在神经活动方面没有发现差异结论：这些初步的假设性研究结果提供了与神经功能相关的跨诊断症状因素，可以指导我们对 AUD 的精神功能障碍进行基于大脑的分类。这些结果值得我们进一步研究成瘾症状的跨诊断方法。

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引用次数: 0

Repetitive Negative Thoughts and the Brain as a Resource-Limited Machine 重复的负面想法和作为资源有限机器的大脑

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/j.bpsc.2024.06.011

Helmet T. Karim

引用次数: 0

Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder 非典型大脑老化及其与重度抑郁障碍患者工作记忆表现的关联。

IF 5.7 2区医学 Q1 NEUROSCIENCES

Biological Psychiatry-Cognitive Neuroscience and Neuroimaging

Pub Date : 2024-08-01 DOI: 10.1016/j.bpsc.2024.04.008

Background

Patients with major depressive disorder (MDD) can present with altered brain structure and deficits in cognitive function similar to those seen in aging. However, the interaction between age-related brain changes and brain development in MDD remains understudied. In a cohort of adolescents and adults with and without MDD, we assessed brain aging differences and associations through a newly developed tool that quantifies normative neurodevelopmental trajectories.

Methods

A total of 304 participants with MDD and 236 control participants without depression were recruited and scanned from 3 studies under the Canadian Biomarker Integration Network for Depression. Volumetric data were used to generate brain centile scores, which were examined for 1) differences between participants with MDD and control participants; 2) differences between individuals with versus without severe childhood maltreatment; and 3) correlations with depressive symptom severity, neurocognitive assessment domains, and escitalopram treatment response.

Results

Brain centiles were significantly lower in the MDD group than in the control group. Brain centile was also significantly correlated with working memory in the control group but not the MDD group. No significant associations were observed between depression severity or antidepressant treatment response and brain centiles. Likewise, childhood maltreatment history did not significantly affect brain centiles.

Conclusions

Consistent with previous work on machine learning models that predict brain age, brain centile scores differed in people diagnosed with MDD, and MDD was associated with differential relationships between centile scores and working memory. The results support the notion of atypical development and aging in MDD, with implications for neurocognitive deficits associated with aging-related cognitive function.

背景：重度抑郁症（MDD）患者会出现与衰老相似的大脑结构改变和认知功能障碍。然而，对重度抑郁症患者与年龄相关的脑部变化和脑部发育之间的相互作用研究仍然不足。方法：我们从加拿大抑郁症生物标记物整合网络（Canadian Biomarker Integration Network for Depression）的三项研究中招募并扫描了304名MDD参与者和236名非抑郁症对照者。容积数据被用于生成脑百分位数，并对以下方面进行检查：a) MDD 相对于对照组的差异；b) 患有与未患严重童年虐待的个体的差异；c) 与抑郁症状严重程度、神经认知评估领域或艾司西酞普兰治疗反应的相关性：结果：与对照组相比，MDD 组的脑百分位数明显较低。在对照组中，它与工作记忆也有明显的相关性，但在 MDD 组中却没有。抑郁症严重程度或抗抑郁治疗反应与脑百分数无明显关联。同样，童年虐待史对大脑百分位数也没有显著影响：结论：与之前预测 "大脑年龄 "的机器学习模型的研究结果一致，被诊断为多发性抑郁症的患者的大脑百分位数得分存在差异，而多发性抑郁症与百分位数得分和工作记忆之间的差异关系有关。这些结果支持了多发性硬化症患者非典型发育和衰老的概念，并对与衰老相关的认知功能神经认知缺陷产生了影响。

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