Biological psychiatry. Cognitive neuroscience and neuroimaging最新文献

{"title":"Dose-Dependent Target Engagement of a Clinical Intermittent Theta Burst Stimulation Protocol: An Interleaved Transcranial Magnetic Stimulation-Functional Magnetic Resonance Imaging Study in Healthy People.","authors":"Kai-Yen Chang, Martin Tik, Yuki Mizutani-Tiebel, Paul Taylor, Timo van Hattem, Peter Falkai, Frank Padberg, Lucia Bulubas, Daniel Keeser","doi":"10.1016/j.bpsc.2024.08.009","DOIUrl":"10.1016/j.bpsc.2024.08.009","url":null,"abstract":"<p><strong>Background: </strong>Intermittent theta burst stimulation (iTBS) of the dorsolateral prefrontal cortex (DLPFC) is widely applied as a therapeutic intervention in mental health; however, the understanding of its mechanisms is still incomplete. Prior magnetic resonance imaging (MRI) studies have mainly used offline iTBS or short sequences in concurrent transcranial magnetic stimulation (TMS)-functional MRI (fMRI). This study investigated a full 600-stimuli iTBS protocol using interleaved TMS-fMRI in comparison with 2 control conditions in healthy subjects.</p><p><strong>Methods: </strong>In a crossover design, 18 participants underwent 3 sessions of interleaved iTBS-fMRI: 1) the left DLPFC at 40% resting motor threshold (rMT) intensity, 2) the left DLPFC at 80% rMT intensity, and 3) the left primary motor cortex (M1) at 80% rMT intensity. We compared immediate blood oxygen level-dependent (BOLD) responses during interleaved iTBS-fMRI across these conditions including correlations between individual fMRI BOLD activation and iTBS-induced electric field strength at the target sites.</p><p><strong>Results: </strong>Whole-brain analysis showed increased activation in several regions following iTBS. Specifically, the left DLPFC, as well as the bilateral M1, anterior cingulate cortex, and insula, showed increased activation during 80% rMT left DLPFC stimulation. Increased BOLD activity in the left DLPFC was observed with neither 40% rMT left DLPFC stimulation nor left M1 80% rMT iTBS, whereas activation in other regions was found to overlap between conditions. Of note, BOLD activation and electric field intensities were only correlated for M1 stimulation and not for the DLPFC conditions.</p><p><strong>Conclusions: </strong>This interleaved TMS-fMRI study showed dosage- and target-specific BOLD activation during a 600-stimuli iTBS protocol in healthy individuals. Future studies may use our approach for investigating target engagement in clinical samples.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Sensitivity of the Mini-Mental State Examination to Detect Objective Cognitive Side Effects Induced by Electroconvulsive Therapy: Results From the Dutch ECT Consortium.","authors":"Dore Loef, Philip F P van Eijndhoven, Sigfried N T M Schouws, Arjen J C Slooter, Nikki Janssen, Rob M Kok, Bart P F Rutten, Eric van Exel, Didi Rhebergen, Mardien L Oudega, Roel J T Mocking, Indira Tendolkar, Annemiek Dols, Esmée Verwijk","doi":"10.1016/j.bpsc.2024.08.002","DOIUrl":"10.1016/j.bpsc.2024.08.002","url":null,"abstract":"<p><strong>Background: </strong>Monitoring cognitive side effects following electroconvulsive therapy (ECT) is crucial for balancing side effects and clinical effectiveness. Yet, evidence-based guidelines on cognitive testing following ECT are lacking. A frequently used test in global ECT practice is the Mini-Mental State Examination (MMSE). We examined the change of the MMSE score and its performance in identifying a decline in predefined neuropsychological measures sensitive to ECT-induced cognitive changes: verbal recall and verbal fluency.</p><p><strong>Methods: </strong>Mean MMSE scores before and 1 week after ECT were compared using a Wilcoxon signed rank test. The Reliable Change Index was calculated for all cognitive measures to indicate whether a participant's change in score from pre- to post-ECT was considered statistically significant. The sensitivity and specificity of the MMSE were calculated.</p><p><strong>Results: </strong>A total of 426 patients with depression from 5 sites were included from the Dutch ECT Consortium. Mean (SD) MMSE score increased significantly from 26.2 (3.9) before ECT to 26.8 (3.8) after ECT (p = .002). After ECT, 36 patients (8.5%) showed a significant decline in MMSE score. The sensitivity of the MMSE in identifying patients who experienced a significant decline in verbal recall or verbal fluency ranged from 3.6% to 11.1%. The specificity of the MMSE in identifying patients who did not experience a significant decline in verbal recall or verbal fluency ranged from 95.6% to 96.6%.</p><p><strong>Conclusions: </strong>Given the very low sensitivity of the MMSE, we propose reconsidering the prominence of the MMSE in ECT practice and cognitive monitoring guidelines, advocating for a more comprehensive approach to assess ECT-induced cognitive changes.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural Brain Differences in the Alzheimer's Disease Continuum: Insights Into the Heterogeneity From a Large Multisite Neuroimaging Consortium.","authors":"Tavia E Evans, Natalia Vilor-Tejedor, Gregory Operto, Carles Falcon, Albert Hofman, Agustin Ibáñez, Sudha Seshadari, Louis C S Tan, Michael Weiner, Suverna Alladi, Udunna Anazodo, Juan Domingo Gispert, Hieab H H Adams","doi":"10.1016/j.bpsc.2024.07.019","DOIUrl":"10.1016/j.bpsc.2024.07.019","url":null,"abstract":"<p><strong>Background: </strong>Neurodegenerative diseases require collaborative, multisite research to comprehensively grasp their complex and diverse pathological progression; however, there is caution in aggregating global data due to data heterogeneity. In the current study, we investigated brain structure across stages of Alzheimer's disease (AD) and how relationships vary across sources of heterogeneity.</p><p><strong>Methods: </strong>Using 6 international datasets (N > 27,000), associations of structural neuroimaging markers were investigated in relation to the AD continuum via meta-analysis. We investigated whether associations varied across elements of magnetic resonance imaging acquisition, study design, and populations.</p><p><strong>Results: </strong>Modest differences in associations were found depending on how data were acquired; however, patterns were similar. Preliminary results suggested that neuroimaging marker-AD relationships differ across ethnic groups.</p><p><strong>Conclusions: </strong>Diversity in data offers unique insights into the neural substrate of AD; however, harmonized processing and transparency of data collection are needed. Global collaborations should embrace the inherent heterogeneity that exists in the data and quantify its contribution to research findings at the meta-analytical stage.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12010407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141861917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensorimotor Feedback Control Dysfunction as a Marker of Posttraumatic Stress Disorder.","authors":"Jonathon R Howlett, Heekyeong Park, Martin P Paulus","doi":"10.1016/j.bpsc.2024.07.010","DOIUrl":"10.1016/j.bpsc.2024.07.010","url":null,"abstract":"<p><strong>Background: </strong>Posttraumatic stress disorder (PTSD) is characterized not only by its direct association with traumatic events but also by a potential deficit in inhibitory control across emotional, cognitive, and sensorimotor domains. Recent research has shown that a continuous sensorimotor feedback control task, the rapid assessment of motor processing paradigm, can yield reliable measures of individual sensorimotor control performance. This study used this paradigm to investigate control deficits in PTSD compared with both a healthy volunteer group and a non-PTSD psychiatric comparison group.</p><p><strong>Methods: </strong>We examined control processing using the rapid assessment of motor processing paradigm in a sample of 40 individuals with PTSD, matched groups of 40 individuals with mood and anxiety complaints, and 40 healthy control participants. We estimated K_p (drive) and K_d (damping) parameters using a proportional-derivative control modeling approach.</p><p><strong>Results: </strong>The K_p parameter was lower in the PTSD group than in the healthy control (Cohen's d = 0.86) and mood and anxiety (Cohen's d = 0.63) groups. After controlling for color-word inhibition, K_p remained lower in the PTSD group than in the healthy control (Cohen's d = 0.79) and mood and anxiety (Cohen's d = 0.62) groups. Mediation analysis showed that K_d significantly mediated the relationship between PTSD and control deficits in the K_p parameter, with 96% of the effect being mediated by K_d.</p><p><strong>Conclusions: </strong>These findings underscore the potential of using dynamic control paradigms to elucidate the control dysfunctions in PTSD and suggest that different psychiatric conditions may distinctly influence subcomponents of sensorimotor control.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11754525/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141763220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric Properties of a Novel Affective Bias Task and Its Application in Clinical and Nonclinical Populations.","authors":"Prathik Kalva, Kourtney Kanja, Brian A Metzger, Xiaoxu Fan, Brian Cui, Bailey Pascuzzi, John Magnotti, Madaline Mocchi, Raissa Mathura, Kelly R Bijanki","doi":"10.1016/j.bpsc.2024.07.004","DOIUrl":"10.1016/j.bpsc.2024.07.004","url":null,"abstract":"<p><p>To mitigate limitations of self-reported mood assessments, we introduce a novel affective bias task. The task quantifies instantaneous emotional state by leveraging the phenomenon of affective bias, in which people interpret external emotional stimuli in a manner consistent with their current emotional state. This study establishes task stability in measuring and tracking depressive symptoms in clinical and nonclinical populations. Initial assessment in a large nonclinical sample established normative ratings. Depressive symptoms were measured and compared with task performance in a nonclinical sample, as well as in a clinical cohort of individuals who were undergoing surgical evaluation for severe epilepsy. In both cohorts, a stronger negative affective bias was associated with a higher Beck Depression Inventory-II score. The affective bias task exhibited high stability and interrater reliability as well as construct validity in predicting depression levels in both cohorts, suggesting that the task is a reliable proxy for mood and a diagnostic tool for detecting depressive symptoms.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11747923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141735982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Influence of Maternal and Paternal Parenting on Adolescent Brain Structure.","authors":"Qingwen Ding, Xinying Li, Divyangana Rakesh, Siya Peng, Jiahua Xu, Jie Chen, Nengzhi Jiang, Yu Luo, Xuebing Li, Shaozheng Qin, Sarah Whittle","doi":"10.1016/j.bpsc.2024.06.013","DOIUrl":"10.1016/j.bpsc.2024.06.013","url":null,"abstract":"<p><strong>Background: </strong>Adolescents raised in families with different maternal and paternal parenting combinations exhibit variations in neurocognition and psychopathology; however, whether neural differences exist remains unexplored. This study used a longitudinal twin sample to delineate how different parenting combinations influence adolescent brain structure and to elucidate the genetic contribution.</p><p><strong>Methods: </strong>A cohort of 216 twins participated in parenting assessments during early adolescence and underwent magnetic resonance imaging scanning during middle adolescence. We utilized latent profile analysis to distinguish between various maternal and paternal parenting profiles and subsequently investigated their influences on brain anatomy. Biometric analysis was applied to assess genetic influences on brain structure, and associations with internalizing symptoms were explored.</p><p><strong>Results: </strong>In early adolescence, 4 parenting profiles emerged, which were characterized by levels of harshness and hostility in one or both parents. Compared with adolescents in \"catparent\" families (low harshness/hostility in both parents), those raised in \"tigermom\" families (harsh/hostile mother only) exhibited a smaller nucleus accumbens volume and larger temporal cortex surface area; those in \"tigerdad\" families demonstrated larger thalamus volumes; and those in \"tigerparent\" families displayed smaller volumes in the midanterior corpus callosum. Genetic risk factors contributed significantly to the observed brain structural heterogeneity and internalizing symptoms. However, the influences of parenting profiles and brain structure on internalizing symptoms were not significant.</p><p><strong>Conclusions: </strong>The findings underscore distinct brain structural features linked to maternal and paternal parenting combinations, particularly in terms of subcortical volume and cortical surface area. This study suggests an interdependent role of maternal and paternal parenting in shaping adolescent neurodevelopment.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}