Brain Structure & Function最新文献

{"title":"Advances in the fMRI analysis of the default mode network: a review.","authors":"Emilio Sanz-Morales, Helena Melero","doi":"10.1007/s00429-024-02888-z","DOIUrl":"10.1007/s00429-024-02888-z","url":null,"abstract":"<p><p>The default mode network (DMN) is a singular pattern of synchronization between brain regions, usually observed using resting-state functional magnetic resonance imaging (rs-fMRI) and functional connectivity analyses. In comparison to other brain networks that are primarily involved in attentional-demanding tasks (such as the frontoparietal network), the DMN is linked with self-referential activities, and alterations in its pattern of connectivity have been related to a wide range of disorders. Structural connectivity analyses have highlighted the vital role of the posterior cingulate cortex and the precuneus as integrative hubs, and advanced parcellation methods have further contributed to elucidate the DMN's regions, enriching its explanatory potential across cognitive functions and dysfunctions. Interestingly, the study of its temporal characteristics - the specific frequency spectrum of BOLD signal oscillations -, its developmental trajectory over the course of life, and its interaction with other networks, provides new insight into the DMN's defining features. In this context, this review aims to synthesize the state of the art in the study of the DMN to provide the most updated findings to anyone interested in its research. Finally, some weaknesses in the current state of knowledge and some interesting lines of work for further progress in the study of the DMN are presented.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"22"},"PeriodicalIF":2.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142909272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A tribute to Laszlo Zaborszky: pioneering discoveries in the basal forebrain and inspiring generations of neuroscientists.","authors":"Erika Gyengesi","doi":"10.1007/s00429-024-02881-6","DOIUrl":"https://doi.org/10.1007/s00429-024-02881-6","url":null,"abstract":"<p><p>This editorial celebrates the 80th birthday of Distinguished Professor Laszlo Zaborszky, co-founder of Brain Structure and Function, and reflects on his monumental contributions to neuroscience, particularly his pioneering work on the cholinergic basal forebrain. Professor Zaborszky's research has reshaped our understanding of this brain region's organization and function, uncovering its critical role in cognitive processes such as learning, memory, and attention. His findings have challenged longstanding assumptions, demonstrating that the cholinergic projections to the cortex are highly organized, with implications for neurodegenerative diseases like Alzheimer's. Beyond his scientific achievements, Professor Zaborszky has made lasting contributions through his mentorship, shaping the careers of many neuroscientists, including the author. This editorial pays tribute to his remarkable legacy, both as a researcher and mentor and highlights his enduring impact on the field of neuroscience.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"21"},"PeriodicalIF":2.7,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142892040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Topological functional network analysis of cortical blood flow in hyperacute ischemic rats.","authors":"Bochao Niu, Hongzhou Wu, Yilu Li, Benjamin Klugah-Brown, George Hanna, Youwang Yao, Junlin Jing, Talha Imtiaz Baig, Yang Xia, Dezhong Yao, Bharat Biswal","doi":"10.1007/s00429-024-02864-7","DOIUrl":"10.1007/s00429-024-02864-7","url":null,"abstract":"<p><p>Acute cerebral ischemia alters brain network connectivity, leading to notable increases in both anatomical and functional connectivity while observing a reduction in metabolic connectivity. However, alterations of the cerebral blood flow (CBF) based functional connectivity remain unclear. We collected continuous CBF images using laser speckle contrast imaging (LSCI) technology to monitor ischemic occlusion-reperfusion progression through occlusion of the left carotid artery. We also used a dense cortical grid atlas to construct CBF-based functional connectivity networks for hyperacute ischemic rodents. Graph theoretical analysis was used to measure network topological characteristics and construct topological connection graphs. Coactivation pattern (CAP) analysis was utilized to examine the spatiotemporal characteristics of the global network. Additionally, we measured evoked functional hyperemia and correlated it with network topologies. Network analysis indicated a significant increase in functional connectivity, global efficiency, local efficiency, small-worldness, clustering coefficient, and regional degree centrality primarily within the left ischemic intra-hemisphere, accompanied by weaker changes in the right intra-hemisphere. Inter-hemisphere networks exhibited reduced homologous connections, global efficiency, and small-worldness. CAP analysis revealed increased strength of the left negative activation brain network's state fraction of time and transition probability from equilibrium-to-imbalance states. Left network metrics declined following blood flow reperfusion. Furthermore, positive/negative correlations between barrel-evoked intensity and regional network topologies were reversed as negative/positive correlations after cerebral ischemia. These findings suggest a damaged CBF functional network mechanism following acute cerebral ischemia and a disrupted association between resting state and evoked hyperemia.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"20"},"PeriodicalIF":2.7,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11671571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142892043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microglia heterogeneity during neuroinflammation and neurodegeneration in the mouse retina.","authors":"Bilin Rao, Xiaoqing Liu, Jiayi Xiao, Xiaotian Wu, Fang He, Qingwen Yang, Wenna Zhao, Xin Lin, Jun Zhang","doi":"10.1007/s00429-024-02875-4","DOIUrl":"https://doi.org/10.1007/s00429-024-02875-4","url":null,"abstract":"<p><p>Microglia play important roles in maintaining homeostasis and immunoreactive defense in the central nervous system including retina. To accomplish such a wide range of functions, microglia are highly heterogeneous. Dark microglia (DM) were recently identified by electron microscopy (EM). However, the specific correlation between microglial morphological phenotypes, including DM, and physiological or pathological conditions remains poorly understood. We established acute and chronic neuroinflammatory models by Lipopolysaccharide (LPS) and light-induced photoreceptor neurodegeneration model to explore these questions in the mouse retina. Immunofluorescence and EM were used to detect microglia in these models. Our light microscopy (LM) results reveal that the withdrawal phenotype is predominant in acute neuroinflammation models, both in vitro and in vivo, while the dystrophic microglia are the major phenotype in chronic neuroinflammation and neurodegeneration models in vivo. Ultrastructurally, acute models exhibit high electron dense processes, but not somas, while chronic models show high electron dense somas and processes. Given the consistency between LM and EM, we propose that DM-like somas and processes likely indicate a dystrophic population. It's important to note, however, that DM may not represent a single specific microglia phenotype, but rather a dynamic transformation of gradually activated microglia. Finally, we provide evidence for the presence of DM in mouse retinas in the neuroinflammatory model and the neurodegenerative model. This research provides valuable insights into investigating microglia phenotypes through both LM and EM.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"19"},"PeriodicalIF":2.7,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Meta-analytic connectivity perturbation analysis (MACPA): a new method for enhanced precision in fMRI connectivity analysis.","authors":"Franco Cauda, Jordi Manuello, Annachiara Crocetta, Sergio Duca, Tommaso Costa, Donato Liloia","doi":"10.1007/s00429-024-02867-4","DOIUrl":"10.1007/s00429-024-02867-4","url":null,"abstract":"<p><p>Co-activation of distinct brain areas provides a valuable measure of functional interaction, or connectivity, between them. One well-validated way to investigate the co-activation patterns of a precise area is meta-analytic connectivity modeling (MACM), which performs a seed-based meta-analysis on task-based functional magnetic resonance imaging (task-fMRI) data. While MACM stands as a powerful automated tool for constructing robust models of whole-brain human functional connectivity, its inherent limitation lies in its inability to capture the distinct interrelationships among multiple brain regions. Consequently, the connectivity patterns highlighted through MACM capture the direct relationship of the seed region with third brain regions, but also a (less informative) residual relationship between the third regions themselves. As a consequence of this, this technique does not allow to evaluate to what extent the observed connectivity pattern is really associated with the fact that the seed region is activated, or it just reflects spurious co-activations unrelated with it. In order to overcome this methodological gap, we introduce a meta-analytic Bayesian-based method, called meta-analytic connectivity perturbation analysis (MACPA), that allows to identify the unique contribution of a seed region in shaping whole-brain connectivity. We validate our method by analyzing one of the most complex and dynamic structures of the human brain, the amygdala, indicating that MACPA may be especially useful for delineating region-wise co-activation networks.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"17"},"PeriodicalIF":2.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motor predictors of cortical brain development and full-IQ in children born extremely preterm with and without discrete white matter abnormalities.","authors":"L Fernández de Gamarra-Oca, D Nosko, H Kvanta, L Broström, M Strindberg, J Svoboda, N Canto Moreira, N Ojeda, L Zubiaurre-Elorza, M Örtqvist, N Padilla, U Ådén","doi":"10.1007/s00429-024-02874-5","DOIUrl":"https://doi.org/10.1007/s00429-024-02874-5","url":null,"abstract":"<p><strong>Aim: </strong>To describe the cortical brain development and full-IQ performance in middle school age children after extremely preterm (EPT) birth considering discrete white matter abnormalities (WMA). In addition, to assess possible early motor predictors of cortical brain development and full-IQ in children born EPT with and without discrete WMA diagnosed at 10 years.</p><p><strong>Methods: </strong>T1-weighted MRI images from fifty-one children born before 27 weeks' gestation and 40 full-term born controls (M_age=10.09 years; SD_age=0.77) were scored for discrete WMA and analyzed with Freesurfer (v7.2.0). The assessments included motor assessments (i.e., fine- and gross motor function) of Bayley Scales of Infant and Toddler Development - Third Edition (BSID-III) at a mean age of 2½ years. Full-IQ was also assessed with Wechsler Intelligence Scale for Children - Fifth Edition (WISC-V) at 12 years.</p><p><strong>Results: </strong>No differences were displayed in motor function or full-IQ score between children born EPT with and without discrete WMA at 10 years. Moreover, no global differences were found in cortex volume. However, bilateral mean cortical thicknesses (CTh) were exhibited to be thicker in children born EPT with discrete WMA. Children born EPT with discrete WMA exhibited regional increases mainly in the frontal and temporal lobes apart from left caudal anterior cingulate gyrus (mean difference = -0.11 (-0.22, -0.01), p = 0.026). Full-IQ was predicted by impairments in fine motor skills in children born EPT with discrete WMA, explaining 42.9% of the variance.</p><p><strong>Conclusions: </strong>Bilateral mean and regional CTh were found to be greater in children born EPT with discrete WMA at 10 years compared to those without. Fine motor function at 2½ years was a strong predictor of full-IQ dependent in children with discrete WMA.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"18"},"PeriodicalIF":2.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Shades of gravity- effects of planetary gravity levels on electrocortical activity and neurocognitive performance.","authors":"Constance Badalì, Petra Wollseiffen, Stefan Schneider","doi":"10.1007/s00429-024-02861-w","DOIUrl":"10.1007/s00429-024-02861-w","url":null,"abstract":"","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":" ","pages":"24"},"PeriodicalIF":2.7,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11698765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An examination of cortical thickness relationships within the reading network of adults.","authors":"Sukhmani Kaur Saggu, Thi Huynh, Jacqueline Cummine","doi":"10.1007/s00429-024-02871-8","DOIUrl":"https://doi.org/10.1007/s00429-024-02871-8","url":null,"abstract":"<p><p>Much brain imaging work has underscored the functional connections among the inferior frontal gyrus (IFG; articulation), supramarginal gyrus (SMG; letter-sound correspondence), superior temporal gyrus (STG; sound) and fusiform gyrus (FFG; print) during basic reading processes. This reading network supports and coordinates the complex processes that contribute to successful reading. In line with the Hebbian notion that 'neurons that fire together, wire together' we examined cortical thickness among these regions and the extent to which these regions showed structural relationships in average and impaired readers. Structural high resolution brain scans from 87 adult participants including average (N = 56; 51 right-handed; females = 29; mean age = 20.5; SD = 2.14) and impaired (N = 31; 27 right-handed; females = 24; mean age = 23.1; SD = 4.23) readers were collated. Cortical thickness measurements of the left and right IFG, SMG, STG, and FFG were extracted. Average readers had significantly greater cortical thickness in the right IFG and right SMG compared to impaired readers. Within each group, similarly strong relationships between the left and right structures were observed. Average readers had a significantly stronger connection between the left IFG-FFG compared to impaired readers (p = 0.012). In contrast, the impaired readers had a significantly stronger connection between the left STG-FFG compared to average readers (p = 0.027). In conclusion, the findings suggest that structural relationships within the reading network may contribute to variations in reading proficiency, with average readers exhibiting distinct patterns of cortical thickness and relationships compared to impaired readers. Further exploration of these structural differences could offer valuable insights into the neural mechanisms underlying reading abilities and disabilities.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"16"},"PeriodicalIF":2.7,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Growth hormone secretagogue receptor and cannabinoid receptor type 1 intersection in the mouse brain.","authors":"Camila Saenz, Gimena Fernandez, Ramiro Llovera, María J Tolosa, Sonia Cantel, Jean-Alain Fehrentz, Kenneth Mackie, Lorenzo Leggio, Jeffrey Zigman, Pablo N De Francesco, Mario Perello","doi":"10.1007/s00429-024-02876-3","DOIUrl":"10.1007/s00429-024-02876-3","url":null,"abstract":"<p><p>The growth hormone secretagogue receptor (GHSR) and the cannabinoid receptor type 1 (CB1R) are G-protein coupled receptors highly expressed in the brain and involved in critical regulatory processes, such as energy homeostasis, appetite control, reward, and stress responses. GHSR mediates the effects of both ghrelin and liver-expressed antimicrobial peptide 2, while CB1R is targeted by cannabinoids. Strikingly, both receptors mediate their effects by acting on common brain areas and their individual roles have been well characterized. However, the potential for their co-expression in the same neuronal subsets remains largely unexplored. Here, we aim to map the cell populations where GHSR and CB1R might converge, hypothesizing that their co-expression in specific brain circuits could mediate integrated physiological responses. By utilizing two complementary labeling techniques-GHSR-eGFP mice and Fr-ghrelin labeling of GHSR+ cells-along with specific CB1R immunostaining, we sought to visualize and quantify potential areas of overlap. Also, we analyzed several cell RNA sequencing datasets to estimate the fraction of brain cells expressing both GPCRs and their phenotype. Our neuroanatomical studies revealed evident overlap of GHSR+ and CB1R+ signals in specific neuronal subsets mainly located in the cerebral cortex, hippocampus and the amygdala. Transcriptomic analysis revealed specific subsets of Ghsr+/Cnr1+ glutamatergic neurons in the hippocampus and amygdala, as well as different subtypes of Ghsr+/Cnr1+ neurons in the midbrain, hypothalamus, pons, and medulla. Thus, we revealed that GHSR and CB1R interact differentially across specific regions of the mouse brain, providing new insights into how these receptors' actions are integrated. Current findings may open new avenues for dual therapeutic interventions in metabolic disorders, obesity, and psychiatric conditions.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"15"},"PeriodicalIF":2.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11659360/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142863236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Language aptitude is related to the anatomy of the transverse temporal gyri.","authors":"Carmen Ramoser, Aileen Fischer, Johanneke Caspers, Niels O Schiller, Narly Golestani, Olga Kepinska","doi":"10.1007/s00429-024-02883-4","DOIUrl":"10.1007/s00429-024-02883-4","url":null,"abstract":"<p><p>Why is it that some people seem to learn new languages faster and more easily than others? The present study investigates the neuroanatomical basis of language learning aptitude, with a focus on the multiplication pattern of the transverse temporal gyrus/gyri (TTG/TTGs) of the auditory cortex. The size and multiplication pattern of the first TTG (i.e., Heschl's gyrus; HG) and of additional posterior TTGs, when present, are highly variable both between brain hemispheres and individuals. Previous work has shown the multiplication pattern of the TTGs to be related to musical and linguistic abilities. Specifically, one study found that high language learning aptitude correlated with more TTGs in the right hemisphere, even though language functions are generally left-lateralized. In this study, we used the recently developed TASH (Toolbox for the Automated Segmentation of Heschl's Gyrus) and MCAI (Multivariate Concavity Amplitude Index) toolboxes to automatically extract structural (e.g., cortical volume, surface area, thickness) and multiplication pattern measures of the TTGs from 82 MRI scans, and related them to participants' language aptitude scores. In contrast to previous results, we found that higher language aptitude was related to fewer TTGs in the right hemisphere and to greater surface area of the first right TTG and of the second left TTG. Furthermore, more languages learned in life were associated with higher language learning aptitude, opening up questions about the structure-function relationship of the TTGs and language learning, and about how language aptitude and language learning are related.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 1","pages":"14"},"PeriodicalIF":2.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11659347/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142863240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}