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Stress History Modulates Corticotropin-Releasing Factor Neurons to Establish Resilience 应激史调节促肾上腺皮质激素释放因子神经元建立弹性
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-19 DOI: 10.1016/j.bpsgos.2025.100656
Sherod E. Haynes , Anthony Lacagnina , Hyun Seong Seo , Fang Li , Xiao Yang , Muhammad Furqan Afzal , Carole Morel , Aurelie Menigoz , Kanaka Rajan , Roger L. Clem , Barbara Juarez , Helen S. Mayberg , Donald G. Rainnie , Larry J. Young , Ming-Hu Han

Background

Cumulative stress is a major risk factor for developing major depressive disorder (MDD), but not everyone experiencing chronic stress develops MDD. In those who do not, it is unclear at what point or by what mechanism a trajectory of stable resiliency emerges.

Methods

Utilizing a 10-day repeated social defeat stress (RSDS) model for MDD, we observed that a critical period between 7 and 10 daily defeats marks the phenotypical divergence of resilient from susceptible male mice. Cell-type selective electrophysiology, chemogenetics, optogenetics, and RNA quantification were used to investigate the nature of stress effects on neuroadaptation in the oval nucleus of the bed nucleus of the stria terminalis (BNSTov) required to determine resilience.

Results

In response to ongoing stress, corticotropin-releasing factor (CRF+, but not CRF) neurons of the BNSTov displayed a sustained increased firing rate in resilient but not susceptible mice. This neurophysiological adaptation was self-sustaining, but only after 7 critical stress exposures, indicating that the process of developing resilience is dependent on stress history.

Conclusions

Our study reveals a novel process by which individuals may persist in the face of adversity by way of stress-provoked activation, not inhibition of a key CRF limbic region that establishes a pathway to resilience.
背景累积压力是发展为重度抑郁症(MDD)的主要风险因素,但并不是每个经历慢性压力的人都会发展为重度抑郁症。对于那些不这样做的国家,目前尚不清楚在什么时候或通过什么机制出现了稳定的弹性轨迹。方法利用MDD的10天重复社会失败应激(RSDS)模型,我们观察到7 - 10天失败的关键时期标志着抗性和易感雄性小鼠的表型差异。采用细胞型选择性电生理学、化学遗传学、光遗传学和RNA定量研究了应激对终纹床核(BNSTov)卵形核神经适应的影响。结果在应激小鼠中,促肾上腺皮质激素释放因子(CRF+,而非CRF -)神经元对持续应激的反应显示出持续增加的放电率。这种神经生理适应是自我维持的,但仅在7次临界应激暴露之后,表明恢复力的发展过程依赖于应激史。结论我们的研究揭示了一个新的过程,即个体可能通过应激激活的方式在逆境中坚持下来,而不是通过抑制一个关键的CRF边缘区域来建立恢复力的途径。
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引用次数: 0
Artificial Intelligence Meets Ultra-High-Field Neuroimaging to Examine Psychosis 人工智能与超高场神经成像结合检查精神病
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-17 DOI: 10.1016/j.bpsgos.2025.100641
Deepak K. Sarpal
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引用次数: 0
Brain State Dynamics in Ketamine-Induced Dissociation Resemble Those in Posttraumatic Stress Disorder 氯胺酮诱导解离的脑状态动力学与创伤后应激障碍相似
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-13 DOI: 10.1016/j.bpsgos.2025.100655
Noam Goldway , Taly Markovits , Naomi Fine , Tom Fruchtman-Steinbok , Guy Gurevitch , Gustavo Deco , Haggai Sharon , Talma Hendler

Background

Dissociation, an altered state of consciousness in which individuals feel detached from their body, environment, and sense of self, is a common feature of posttraumatic stress disorder (PTSD). Despite its significance, the neurocognitive processes underlying dissociation remain poorly understood, potentially limiting diagnostic precision and treatment efficacy in PTSD.

Methods

To address this gap, we applied network control theory to resting-state functional magnetic resonance imaging to examine neural dynamics during dissociative states in 2 contexts: healthy volunteers (n = 30) undergoing intravenous administration of ketamine, an anesthetic known to induce dissociative states, and patients with PTSD receiving an intervention aimed at alleviating dissociative symptoms (a secondary analysis of data from 78 patients who participated in previously conducted clinical trials).

Results

Ketamine administration led to resting-state brain dynamics resembling those observed in patients with PTSD before treatment, characterized by an increased dominance of a default mode network (DMN) meta-state and a decreased dominance of a somatomotor network (SOM) meta-state. Posttreatment reduction in the dominance of the DMN meta-state correlated with a decrease in dissociative symptoms in patients with PTSD. Computational modeling analysis revealed that after treatment, patients with PTSD exhibited a more organized and less entropic brain state. However, contrary to our hypothesis, ketamine administration did not lead to significant changes in these entropy-related indices.

Conclusions

Dissociative states, whether induced by pharmacological manipulation or clinical condition, are accompanied by increased dominance of the DMN meta-state and reduced dominance of the SOM meta-state.
分离是一种意识状态的改变,在这种状态下,个体感觉与他们的身体、环境和自我意识分离,这是创伤后应激障碍(PTSD)的一个常见特征。尽管它具有重要意义,但人们对解离背后的神经认知过程知之甚少,这可能会限制PTSD的诊断准确性和治疗效果。为了解决这一问题,我们将网络控制理论应用于静息状态功能磁共振成像,研究两种情况下分离状态下的神经动力学:健康志愿者(n = 30)接受氯胺酮静脉注射,氯胺酮是一种已知可诱导解离状态的麻醉剂,PTSD患者接受旨在减轻解离症状的干预(对78名参与先前进行的临床试验的患者的数据进行二次分析)。结果氯胺酮导致静息状态脑动力学与治疗前PTSD患者相似,其特征是默认模式网络(DMN)元状态的优势增加,体运动网络(SOM)元状态的优势降低。治疗后DMN元状态主导地位的降低与PTSD患者分离症状的减少相关。计算模型分析显示,治疗后,PTSD患者表现出更有组织和更少熵的大脑状态。然而,与我们的假设相反,氯胺酮的施用并没有导致这些熵相关指数的显著变化。结论游离状态,无论是由药物操作还是临床条件引起的,都伴随着DMN元状态优势的增加和SOM元状态优势的减少。
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引用次数: 0
Harnessing Analysis of Individual Differences in Behavior to Identify Novel Mechanisms Relevant to Neuropsychiatric Disorders 利用个体行为差异分析来识别与神经精神疾病相关的新机制
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-12 DOI: 10.1016/j.bpsgos.2025.100639
Mary M. Torregrossa
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引用次数: 0
Sex-Specific Associations of Irritability With Subcortical Brain Volumes 易怒与皮质下脑容量的性别特异性关联
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-12 DOI: 10.1016/j.bpsgos.2025.100653
Mariah DeSerisy , Huiyu Yang , Jacob W. Cohen , Juan Sanchez-Peña , David Semanek , Hajer Nakua , Gaurav H. Patel , David Pagliaccio , Amy E. Margolis

Background

Irritability is transdiagnostic and associated with considerable impairment. The behavioral presentation of irritability may vary with age, sex, and diagnosis. Although inconsistent, clinical evidence indicates that irritability may present as temper tantrums associated with neurodevelopmental disorders in young boys, whereas irritability in girls may manifest in adolescence associated with negative mood. Functional activation of subcortical regions is characteristic of irritability, but the structural correlates of irritability in these regions are underexplored. We hypothesized that age, sex, and diagnosis would modify subcortical correlates of irritability.

Methods

False discovery rate–corrected regression models tested whether associations between irritability and subcortical structures were moderated by sex, age, or diagnosis in 1792 youths from the Healthy Brain Network dataset (release 11.0), a cohort weighted for psychiatric problems. Irritability was measured via the Affective Reactivity Index. FreeSurfer 6.0.1 extracted subcortical structures.

Results

Effect modification by sex indicated higher irritability associated with smaller reward-related volumes (right nucleus accumbens, bilateral caudate) in boys and with larger threat-related volumes (left amygdala) in girls. Effect modification by age or diagnosis was not significant.

Conclusions

Sex-specific subcortical correlates may explain sex-specific differences in the behavioral presentation of irritability. In models of irritability, the subcortex governs initiation of angry responses, which are dampened by prefrontal cortices. The altered volumes in reward-related regions in boys and threat-related regions in girls reported herein may be markers of early risk for irritability and/or possible targets for brain-informed interventions. Girls may benefit from irritability treatments targeting threat-based pathways, and boys may benefit from treatments targeting reward-based pathways.
背景:遗传性是跨诊断的,与相当大的损害有关。易怒的行为表现可能因年龄、性别和诊断而异。尽管不一致,但临床证据表明,在年轻男孩中,易怒可能表现为与神经发育障碍相关的发脾气,而在女孩中,易怒可能表现为与消极情绪相关的青春期。皮质下区域的功能激活是易怒的特征,但这些区域的结构相关性尚不清楚。我们假设年龄、性别和诊断会改变皮层下与易怒相关的因素。方法错误发现率校正回归模型测试了来自健康脑网络数据集(release 11.0)的1792名青少年中,易怒和皮层下结构之间的关联是否受到性别、年龄或诊断的调节。易怒程度通过情感反应指数测量。FreeSurfer 6.0.1提取皮层下结构。结果性别效应改变表明,激惹性高的男孩与较小的奖励相关体积(右侧伏隔核、双侧尾状核)相关,而女孩与较大的威胁相关体积(左侧杏仁核)相关。年龄或诊断对疗效的影响不显著。结论皮质下的性别特异性相关可以解释激惹行为表现的性别差异。在易怒的模型中,下皮层控制着愤怒反应的启动,这被前额皮质抑制。本文报告的男孩奖励相关区域和女孩威胁相关区域的体积变化可能是易怒早期风险的标志和/或大脑知情干预的可能目标。女孩可能受益于针对威胁通路的易怒治疗,男孩可能受益于针对奖励通路的治疗。
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引用次数: 0
Electroencephalography-Based Machine and Deep Learning Approaches for the Diagnosis of Dissociative Disorders: A Comprehensive Review 基于脑电图的机器和深度学习方法诊断分离性障碍:综合综述
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-12 DOI: 10.1016/j.bpsgos.2025.100654
Hassan Jubair
Dissociative disorders (DDs), including dissociative identity disorder and depersonalization disorder, are complex and often misdiagnosed psychiatric conditions due to their overlapping symptoms with other mental illnesses. Electroencephalography (EEG), a low-cost and noninvasive neuroimaging tool, is a valuable means of examining the neurophysiological signatures associated with DDs. In this review, we aim to systematically evaluate how machine learning (ML) and deep learning (DL) methods are applied to EEG data for the diagnosis and monitoring of DDs, highlighting their effectiveness, limitations, and future research directions. We reviewed and synthesized studies involving EEG-based ML and DL models applied to DD-related data. The analysis focused on EEG biomarkers, model architecture (e.g., support vector machines, convolutional neural networks [CNNs], recurrent neural networks [RNNs]), feature types (raw vs. handcrafted), performance metrics, and reported challenges. Findings indicate that DL models, especially CNN and RNN, outperform traditional ML models by learning complex spatiotemporal EEG patterns. Key EEG biomarkers identified include altered frontal EEG power, disrupted theta and alpha rhythms, and attenuated P300 components. Hybrid and raw feature–based DL approaches yielded the highest classification accuracies (up to 98.3%) in related neuropsychiatric tasks. EEG-based DL techniques offer promising advancements in diagnosing DDs. However, challenges such as data scarcity, model interpretability, and generalizability persist. Future research should focus on explainable artificial intelligence, multimodal integration, transfer learning, and personalized EEG biomarkers to bridge the gap between research and clinical application.
解离性障碍(DDs),包括解离性身份障碍和人格解体障碍,是一种复杂的精神疾病,由于其症状与其他精神疾病重叠,经常被误诊。脑电图(EEG)是一种低成本、无创的神经成像工具,是检查与dd相关的神经生理特征的一种有价值的手段。在这篇综述中,我们旨在系统地评估机器学习(ML)和深度学习(DL)方法如何应用于脑电图数据来诊断和监测dd,强调它们的有效性,局限性和未来的研究方向。我们回顾并综合了基于脑电图的ML和DL模型应用于dd相关数据的研究。分析的重点是EEG生物标记物、模型架构(如支持向量机、卷积神经网络、循环神经网络)、特征类型(原始与手工)、性能指标和报告的挑战。研究结果表明,深度学习模型,尤其是CNN和RNN,在学习复杂的时空脑电图模式方面优于传统的ML模型。确定的关键EEG生物标志物包括额叶EEG功率改变、θ和α节律中断以及P300成分减弱。混合和基于原始特征的深度学习方法在相关的神经精神任务中产生了最高的分类准确率(高达98.3%)。基于脑电图的DL技术为诊断dd提供了有希望的进展。然而,诸如数据稀缺性、模型可解释性和泛化性等挑战仍然存在。未来的研究应侧重于可解释的人工智能、多模态集成、迁移学习和个性化脑电图生物标志物,以弥合研究与临床应用之间的差距。
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引用次数: 0
Using Genetics to Shed Light on the Scientific Gray Zone of Functional Seizures 利用遗传学揭示功能性癫痫的科学灰色地带
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-12 DOI: 10.1016/j.bpsgos.2025.100628
Christal N. Davis
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引用次数: 0
Variant in a Taste Receptor Locus Tied to Changes in the Use of Insomnia Medication 味觉受体位点的变异与失眠药物使用的变化有关
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-10 DOI: 10.1016/j.bpsgos.2025.100652
Gudmundur Einarsson , Hannes K. Arnason , Rosa S. Gisladottir , Gyda Bjornsdottir , Thorgeir E. Thorgeirsson , Astros Skuladottir , G. Bragi Walters , Saedis Saevarsdottir , Magnus K. Magnusson , Gisli H. Halldorsson , Audunn S. Snaebjarnarson , Hafsteinn Einarsson , Gardar Sveinbjornsson , Hannes Helgason , Vinicius Tragante , Gudrun A. Jonsdottir , Hildur M. Aegisdottir , Ingileif Jonsdottir , Thorarinn Gislason , Gudmar Thorleifsson , Kari Stefansson

Background

Zopiclone and zolpidem are widely prescribed hypnotic medications for insomnia, sharing similar efficacy but differing in side-effect profiles, particularly concerning taste disturbances. Identifying genetic predictors of intolerance to these medications could inform personalized treatment strategies.

Methods

We conducted a genome-wide association study to identify genetic variants associated with switching between zopiclone and zolpidem in 57,669 Icelanders, using electronic prescription data from Iceland (2003–2020), and 6590 British individuals from the UK Biobank (1990–2017). We included individuals who had received at least 3 prescriptions of either drug. We also investigated data on bitter taste perception using quinine taste test data from 2238 Icelandic individuals.

Results

A common sequence variant, rs6488335-G, within the TAS2R bitter taste receptor gene locus on chromosome 12, was associated with an increased likelihood of switching from zopiclone to zolpidem (Iceland: odds ratio [OR], 1.29; 95% CI, 1.24 to 1.35; United Kingdom: OR, 1.34; 95% CI, 1.12 to 1.59) and a decreased likelihood of switching in the reverse direction. The effect was more pronounced in women (ORfemales, 1.36; 95% CI, 1.29 to 1.44) than in men (ORmales, 1.19; 95% CI, 1.11 to 1.27). While the variant is associated with bitter taste perception of quinine, conditional analyses suggest that the pharmacogenetic association with drug switching is independent of taste perception.

Conclusions

Our findings indicate that carriers of the rs6488335-G variant, particularly homozygous women, were more likely to switch from zopiclone to zolpidem, potentially due to heightened sensitivity to taste-related side effects. Preemptive genetic testing could guide clinicians in prescribing zolpidem over zopiclone for individuals at risk, thereby reducing health care visits and improving treatment adherence.
佐匹克隆和唑吡坦是广泛用于治疗失眠症的催眠药物,它们的疗效相似,但副作用不同,尤其是在味觉障碍方面。确定对这些药物不耐受的遗传预测因子可以为个性化治疗策略提供信息。方法:利用冰岛2003-2020年的电子处方数据和英国生物银行1990-2017年的6590名英国人的数据,对57,669名冰岛人和6590名英国人进行了全基因组关联研究,以确定与佐匹克隆和唑吡坦切换相关的遗传变异。我们纳入了至少接受过三种药物处方的个体。我们还利用来自2238名冰岛人的奎宁味觉测试数据调查了苦味感知数据。结果12号染色体TAS2R∗苦味受体基因位点内的一个常见序列变异rs6488335-G与从佐匹克隆切换到唑吡坦的可能性增加相关(冰岛:比值比[OR], 1.29; 95% CI, 1.24 ~ 1.35;英国:OR, 1.34; 95% CI, 1.12 ~ 1.59),而反向切换的可能性降低。女性(ORmales, 1.36; 95% CI, 1.29至1.44)比男性(ORmales, 1.19; 95% CI, 1.11至1.27)的影响更为明显。虽然这种变异与奎宁的苦味感知有关,但条件分析表明,药物遗传与药物转换的关联与味觉感知无关。研究结果表明,rs6488335-G变异的携带者,特别是纯合子女性,更有可能从佐匹克隆转向唑吡坦,这可能是由于对味道相关副作用的敏感性增加。先发制人的基因检测可以指导临床医生为有风险的个体开出唑吡坦而不是唑匹克隆的处方,从而减少就医次数并提高治疗依从性。
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引用次数: 0
Rethinking Trichotillomania 反思拔毛发癖
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-10 DOI: 10.1016/j.bpsgos.2025.100625
Jon E. Grant
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引用次数: 0
Mineralocorticoid Receptor in Glutamatergic Neurons Modulates Anxiety Exclusively in Male Mice Via Regulation of the Actin-Bundling Factor Fam107a 谷氨酸能神经元中的矿皮质激素受体通过调节肌动蛋白捆绑因子Fam107a来调节雄性小鼠的焦虑
IF 3.7 Q2 NEUROSCIENCES Pub Date : 2025-11-07 DOI: 10.1016/j.bpsgos.2025.100651
Huanqing Yang , Sowmya Narayan , Joeri Bordes , Lotte van Doeselaar , Carlo De Donno , Matthias Eder , Danusa Menegaz , Rosa-Eva Huettl , Lea-Maria Brix , Shiladitya Mitra , Margherita Springer , Marianne B. Müller , Alon Chen , Jan M. Deussing , Juan Pablo Lopez , Mathias V. Schmidt

Background

Exposure to stressful life events is a major risk factor for many psychiatric disorders. The mineralocorticoid receptor (MR) is a key regulator of the hypothalamic-pituitary-adrenal axis, a central stress response component. Stress-related mental disorders, such as anxiety and depression, are associated with MR dysfunction in the brain, but its cell type–specific contributions to emotional behavior and cognitive function remain unclear.

Methods

Using a mouse model with a specific deletion of MR in forebrain glutamatergic neurons, we tested the behavioral, structural, and functional impact of MR in this neuronal population (n = 9–14 for behavioral and n = 3–4 for structural and functional analyses).

Results

We revealed a specific function of MR in regulating baseline anxiety in male but not female mice. This distinct behavioral phenotype was associated with hippocampal structural and functional alterations. Furthermore, we identified a previously unrecognized downstream target of MR, the actin-bundling factor Fam107a, whose expression is tightly regulated by MR. Overexpression of Fam107a in the hippocampus was sufficient to rescue the increased anxiety phenotype of glutamatergic MR knockout mice.

Conclusions

Together, our results underline the central role of MR as a potential target in understanding the intricate interplay between stress, resilience, and mental health.
暴露于压力生活事件是许多精神疾病的主要危险因素。矿化皮质激素受体(MR)是下丘脑-垂体-肾上腺轴的关键调节因子,是应激反应的中心成分。与压力相关的精神障碍,如焦虑和抑郁,与大脑的核磁共振功能障碍有关,但其细胞类型特异性对情绪行为和认知功能的贡献尚不清楚。方法使用前脑谷氨酸能神经元特异性MR缺失的小鼠模型,我们测试了MR对该神经元群体的行为、结构和功能影响(n = 9-14, n = 3-4)。结果我们发现MR在雄性小鼠而非雌性小鼠中具有调节基线焦虑的特定功能。这种独特的行为表型与海马结构和功能改变有关。此外,我们发现了一个以前未被识别的MR下游靶点,即肌动蛋白捆绑因子Fam107a,其表达受到MR的严格调控,在海马中过度表达Fam107a足以挽救谷氨酸能MR敲除小鼠增加的焦虑表型。总之,我们的研究结果强调了MR在理解压力、恢复力和心理健康之间错综复杂的相互作用方面的核心作用。
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引用次数: 0
期刊
Biological psychiatry global open science
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