NeuroImage最新文献

{"title":"Quantitative brain [18F]FDG PET beyond normal blood glucose levels","authors":"David Rey-Bretal ,&nbsp;Lara García-Varela ,&nbsp;Noemí Gómez-Lado ,&nbsp;Alexis Moscoso ,&nbsp;Manuel Piñeiro-Fiel ,&nbsp;Lucía Díaz-Platas ,&nbsp;Santiago Medin ,&nbsp;Anxo Fernández-Ferreiro ,&nbsp;Álvaro Ruibal ,&nbsp;Tomás Sobrino ,&nbsp;Jesús Silva-Rodríguez ,&nbsp;Pablo Aguiar","doi":"10.1016/j.neuroimage.2024.120873","DOIUrl":"10.1016/j.neuroimage.2024.120873","url":null,"abstract":"<div><div><em>Introduction</em> SUV measurements from static brain [¹⁸F]FDG PET acquisitions are a commonly used tool in preclinical research, providing a simple alternative for kinetic modelling, which requires complex and time-consuming dynamic acquisitions. However, SUV can be severely affected by the animal handling and preconditioning protocols, primarily by those that may induce changes in blood glucose levels (BGL). Here, we aimed at developing and investigating the feasibility of SUV-based approaches for a wide range of BGL far beyond normal values, and consequently, to develop and validate a new model to generate standardized and reproducible SUV measurements for any BGL.</div><div><em>Material and methods</em> We performed dynamic and static brain [¹⁸F]FDG PET acquisitions in 52 male Sprague-Dawley rats sorted into control (<em>n</em> = 10), non-fasting (<em>n</em> = 14), insulin-induced hypoglycemia (<em>n</em> = 12) and glucagon-induced hyperglycemia (<em>n</em> = 16) groups. Brain [¹⁸F]FDG PET images were cropped, aligned and co-registered to a standard template to calculate whole-brain and regional SUV. Cerebral Metabolic Rate of Glucose (CMRglc) was also estimated from 2-Tissue Compartment Model (2TCM) and Patlak plot for validation purposes.</div><div><em>Results</em> Our results showed that BGL=100±6 mg/dL can be considered a reproducible reference value for normoglycemia. Furthermore, we successfully established a 2nd-degree polynomial model (C₁=0.66E-4, C₂=-0.0408 and C₃=7.298) relying exclusively on BGL measures at pre-[¹⁸F]FDG injection time, that characterizes more precisely the relationship between SUV and BGL for a wide range of BGL values (from 10 to 338 mg/dL). We confirmed the ability of this model to generate corrected SUV estimations that are highly correlated to CMRglc estimations (R²= 0.54 2TCM CMRgluc and R²= 0.49 Patlak CMRgluc). Besides, slight regional differences in SUV were found in animals from extreme BGL groups, showing that [¹⁸F]FDG uptake is mostly directed toward central regions of the brain when BGLs are significantly decreased.</div><div><em>Conclusion</em> Our study successfully established a non-linear model that relies exclusively on pre-scan BGL measurements to characterize the relationship between [¹⁸F]FDG SUV and BGL. The extensive validation confirmed its ability to generate SUV-based surrogates of CMRglu along a wide range of BGL and it holds the potential to be adopted as a standard protocol by the preclinical neuroimaging community using brain [¹⁸F]FDG PET imaging.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120873"},"PeriodicalIF":4.7,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142350981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards the definition of a standard in TMS-EEG data preprocessing","authors":"A. Brancaccio ,&nbsp;D. Tabarelli ,&nbsp;A. Zazio ,&nbsp;G. Bertazzoli ,&nbsp;J. Metsomaa ,&nbsp;U. Ziemann ,&nbsp;M. Bortoletto ,&nbsp;P. Belardinelli","doi":"10.1016/j.neuroimage.2024.120874","DOIUrl":"10.1016/j.neuroimage.2024.120874","url":null,"abstract":"<div><div>Combining Non-Invasive Brain Stimulation (NIBS) techniques with the recording of brain electrophysiological activity is an increasingly widespread approach in neuroscience. Particularly successful has been the simultaneous combination of Transcranial Magnetic Stimulation (TMS) and Electroencephalography (EEG). Unfortunately, the strong magnetic pulse required to effectively interact with brain activity inevitably induces artifacts in the concurrent EEG acquisition. Therefore, a careful but aggressive pre-processing is required to efficiently remove artifacts. Unfortunately, as already reported in the literature, different preprocessing approaches can introduce variability in the results. Here we aim at characterizing the three main TMS-EEG preprocessing pipelines currently available, namely ARTIST (Wu et al., 2018), TESA (Rogasch et al., 2017) and SOUND/SSP-SIR (Mutanen et al., 2018, 2016), providing an insight to researchers who need to choose between different approaches. Differently from previous works, we tested the pipelines using a synthetic TMS-EEG signal with a known <em>ground-truth</em> (the artifacts-free to-be-reconstructed signal). In this way, it was possible to assess the reliability of each pipeline precisely and quantitatively, providing a more robust reference for future research. In summary, we found that all pipelines performed well, but with differences in terms of the spatio-temporal precision of the ground-truth reconstruction. Crucially, the three pipelines impacted differently on the inter-trial variability, with ARTIST introducing inter-trial variability not already intrinsic to the ground-truth signal.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"301 ","pages":"Article 120874"},"PeriodicalIF":4.7,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142350979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enlarged brain perivascular spaces correlate with blood plasma osmolality in the healthy population: A longitudinal study","authors":"Alexandra Morozova ,&nbsp;Filip Španiel ,&nbsp;Antonín Škoch ,&nbsp;Marek Brabec ,&nbsp;Grygoriy Zolotarov ,&nbsp;Vladimir Musil ,&nbsp;Petr Zach","doi":"10.1016/j.neuroimage.2024.120871","DOIUrl":"10.1016/j.neuroimage.2024.120871","url":null,"abstract":"<div><div>Enlarged perivascular spaces (EPVS) are increasingly recognized as an MRI detectable feature of neuroinflammatory processes and age-related neurodegenerative changes. Understanding perivascular characteristics in healthy individuals is crucial for their applicability as a reference for pathological changes. Limited data exists on the EPVS load and interhemispheric asymmetry in distribution among young healthy subjects. Despite the known impact of hydration on brain morphometric studies, blood plasma osmolality's effect on EPVS remains unexplored.</div><div>This study investigated the influence of age, total intracranial volume (TIV), and blood plasma osmolality on EPVS characteristics in 59 healthy adults, each undergoing MRI and osmolality assessment twice within 14.8 months (mean ± 4 months). EPVS analysis was conducted in the centrum semiovale using high-resolution automated segmentation, followed by an optimization algorithm to enhance EPVS segmentation accuracy. Linear Mixed Effects model was used for the statistical analysis, which unveiled significant inter-individual variability in EPVS load and inter-hemispheric asymmetry. EPVS volume increased with age, higher TIV and lower blood plasma osmolality levels. Our findings offer valuable insights into EPVS characteristics among the healthy population, establishing a foundation to further explore age-related and pathological changes.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120871"},"PeriodicalIF":4.7,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142350974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Astroglial glucose uptake determines brain FDG-PET alterations and metabolic connectivity during healthy aging in mice","authors":"Laura M. Bartos ,&nbsp;Sebastian T. Kunte ,&nbsp;Stephan Wagner ,&nbsp;Philipp Beumers ,&nbsp;Rebecca Schaefer ,&nbsp;Artem Zatcepin ,&nbsp;Yunlei Li ,&nbsp;Maria Griessl ,&nbsp;Leonie Hoermann ,&nbsp;Karin Wind-Mark ,&nbsp;Peter Bartenstein ,&nbsp;Sabina Tahirovic ,&nbsp;Sibylle Ziegler ,&nbsp;Matthias Brendel ,&nbsp;Johannes Gnörich","doi":"10.1016/j.neuroimage.2024.120860","DOIUrl":"10.1016/j.neuroimage.2024.120860","url":null,"abstract":"<div><h3>Purpose</h3><div>2-Fluorodeoxyglucose-PET (FDG-PET) is a powerful tool to study glucose metabolism in mammalian brains, but cellular sources of glucose uptake and metabolic connectivity during aging are not yet understood.</div></div><div><h3>Methods</h3><div>Healthy wild-type mice of both sexes (2–21 months of age) received FDG-PET and cell sorting after in vivo tracer injection (scRadiotracing). FDG uptake per cell was quantified in isolated microglia, astrocytes and neurons. Cerebral FDG uptake and metabolic connectivity were determined by PET. A subset of mice received measurement of blood glucose levels to study associations with cellular FDG uptake during aging.</div></div><div><h3>Results</h3><div>Cerebral FDG-PET signals in healthy mice increased linearly with age. Cellular FDG uptake of neurons increased between 2 and 12 months of age, followed by a strong decrease towards late ages. Contrarily, FDG uptake in microglia and astrocytes exhibited a U-shaped function with respect to age, comprising the predominant cellular source of higher cerebral FDG uptake in the later stages. Metabolic connectivity was closely associated with the ratio of glucose uptake in astroglial cells relative to neurons. Cellular FDG uptake was not associated with blood glucose levels and increasing FDG brain uptake as a function of age was still observed after adjusting for blood glucose levels.</div></div><div><h3>Conclusion</h3><div>Trajectories of astroglial glucose uptake drive brain FDG-PET alterations and metabolic connectivity during aging.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120860"},"PeriodicalIF":4.7,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142350980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between central autonomic effective connectivity and heart rate variability: A Resting-state fMRI dynamic causal modeling study","authors":"Liangsuo Ma ,&nbsp;Larry D. Keen II ,&nbsp;Joel L. Steinberg ,&nbsp;David Eddie ,&nbsp;Alex Tan ,&nbsp;Lori Keyser-Marcus ,&nbsp;Antonio Abbate ,&nbsp;F. Gerard Moeller","doi":"10.1016/j.neuroimage.2024.120869","DOIUrl":"10.1016/j.neuroimage.2024.120869","url":null,"abstract":"<div><div>The central autonomic network (CAN) serves as a regulatory hub with top-down regulatory control and integration of bottom-up physiological feedback via the autonomic nervous system. Heart rate variability (HRV)—the time variance of the heart's beat-to-beat intervals—is an index of the CAN's affective and behavioral regulatory capacity. Although neural functional connectivities that are associated with HRV and CAN have been well studied, no published report to date has studied effective (directional) connectivities (EC) that are associated with HRV and CAN. Better understanding of neural EC in the brain has the potential to improve our understanding of how the CAN sub-regions regulate HRV. To begin to address this knowledge gap, we employed resting-state functional magnetic resonance imaging and dynamic causal modeling (DCM) with parametric empirical Bayes analyses in 34 healthy adults (19 females; mean age= 32.68 years [<em>SD</em>= 14.09], age range 18–68 years) to examine the bottom-up and top-down neural circuits associated with HRV. Throughout the whole brain, we identified 12 regions associated with HRV. DCM analyses revealed that the ECs from the right amygdala to the anterior cingulate cortex and to the ventrolateral prefrontal cortex had a negative linear relationship with HRV and a positive linear relationship with heart rate. These findings suggest that ECs from the amygdala to the prefrontal cortex may represent a neural circuit associated with regulation of cardiodynamics.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120869"},"PeriodicalIF":4.7,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of multiband sequences on statistical outcome measures in functional magnetic resonance imaging using a gustatory stimulus","authors":"Yuko Nakamura ,&nbsp;Takuya Ishida","doi":"10.1016/j.neuroimage.2024.120867","DOIUrl":"10.1016/j.neuroimage.2024.120867","url":null,"abstract":"<div><div>Recent technical developments have led to the invention of multiband functional magnetic resonance imaging (fMRI) sequences that allow for faster sampling rates. However, some studies have highlighted problems with these sequences, leading to a decreased temporal signal-to-noise ratio (tSNR). In addition, this temporal noise may interfere with detecting reward-related responses in mesolimbic regions. The blood-oxygen-level-dependent signal utilized in the majority of fMRI measurements is relatively slow. Furthermore, the cerebral response to gustatory stimuli would also be relatively slow. Therefore, given the temporal noise issues with multiband sequences, it is unclear whether multiband sequences are necessary for fMRI studies using gustatory stimuli. We thus conducted an fMRI experiment using a gustatory stimulus to investigate the effects of multiband sequences and increased sampling rates on statistical outcome measures. A single-band sequence with a repetition time (TR) of 2 s of phantom fMRI data and gustatory fMRI data from the gustatory regions exhibited the highest tSNR, although the tSNR of this sequence of gustatory fMRI was not statistically different from tSNR of multiband sequences with a TR of 2 s in any of the selected region of interests. Conventional general linear model analysis of fMRI showed that single-band sequences are more advantageous than multiband sequences for detecting brain responses to gustatory stimuli in the primary gustatory cortex. In addition, a Bayesian data comparison showed that data derived from a single-band sequence with a TR of 2 s was optimal for inferring neuronal connectivity in gustatory processing. Therefore, a conventional single-band sequence with a TR of 2 s is more appropriate for fMRI with gustatory stimuli. Image acquisition sequences should be selected aligned with the study objectives and target brain regions.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120867"},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wireless optically pumped magnetometer MEG","authors":"Hao Cheng ,&nbsp;Kaiyan He ,&nbsp;Congcong Li ,&nbsp;Xiao Ma ,&nbsp;Fufu Zheng ,&nbsp;Wei Xu ,&nbsp;Pan Liao ,&nbsp;Rui Yang ,&nbsp;Dongxu Li ,&nbsp;Lang Qin ,&nbsp;Shuai Na ,&nbsp;Bingjiang Lyu ,&nbsp;Jia-Hong Gao","doi":"10.1016/j.neuroimage.2024.120864","DOIUrl":"10.1016/j.neuroimage.2024.120864","url":null,"abstract":"<div><div>The current magnetoencephalography (MEG) systems, which rely on cables for control and signal transmission, do not fully realize the potential of wearable optically pumped magnetometers (OPM). This study presents a significant advancement in wireless OPM-MEG by reducing magnetization in the electronics and developing a tailored wireless communication protocol. Our protocol effectively eliminates electromagnetic interference, particularly in the critical frequency bands of MEG signals, and accurately synchronizes the acquisition and stimulation channels with the host computer's clock. We have successfully achieved single-channel wireless OPM-MEG measurement and demonstrated its reliability by replicating three well-established experiments: The alpha rhythm, auditory evoked field, and steady-state visual evoked field in the human brain. Our prototype wireless OPM-MEG system not only streamlines the measurement process but also represents a major step forward in the development of wearable OPM-MEG applications in both neuroscience and clinical research.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120864"},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative evaluation of interpretation methods in surface-based age prediction for neonates","authors":"Xiaotong Wu ,&nbsp;Chenxin Xie ,&nbsp;Fangxiao Cheng ,&nbsp;Zhuoshuo Li ,&nbsp;Ruizhuo Li ,&nbsp;Duan Xu ,&nbsp;Hosung Kim ,&nbsp;Jianjia Zhang ,&nbsp;Hongsheng Liu ,&nbsp;Mengting Liu","doi":"10.1016/j.neuroimage.2024.120861","DOIUrl":"10.1016/j.neuroimage.2024.120861","url":null,"abstract":"<div><div>Significant changes in brain morphology occur during the third trimester of gestation. The capability of deep learning in leveraging these morphological features has enhanced the accuracy of brain age predictions for this critical period. Yet, the opaque nature of deep learning techniques, often described as \"black box\" approaches, limits their interpretability, posing challenges in clinical applications. Traditional interpretable methods developed for computer vision and natural language processing may not directly translate to the distinct demands of neuroimaging. In response, our research evaluates the effectiveness and adaptability of two interpretative methods—regional age prediction and the perturbation-based saliency map approach—for predicting the brain age of neonates. Analyzing 664 T1 MRI scans with the NEOCIVET pipeline to extract brain surface and cortical features, we assess how these methods illuminate key brain regions for age prediction, focusing on technical analysis with clinical insight. Through a comparative analysis of the saliency index (SI) with relative brain age (RBA) and the examination of structural covariance networks, we uncover the saliency index's enhanced ability to pinpoint regions vital for accurate indication of clinical factors. Our results highlight the advantages of perturbation techniques in addressing the complexities of medical data, steering clinical interventions for premature neonates towards more personalized and interpretable approaches. This study not only reveals the promise of these methods in complex medical scenarios but also offers a blueprint for implementing more interpretable and clinically relevant deep learning models in healthcare settings.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120861"},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142350916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-species striatal hubs: Linking anatomy to resting-state connectivity","authors":"Xiaolong Peng ,&nbsp;Lucas R. Trambaiolli ,&nbsp;Eun Young Choi ,&nbsp;Julia F. Lehman ,&nbsp;Gary Linn ,&nbsp;Brian E. Russ ,&nbsp;Charles E. Schroeder ,&nbsp;Suzanne N. Haber ,&nbsp;Hesheng Liu","doi":"10.1016/j.neuroimage.2024.120866","DOIUrl":"10.1016/j.neuroimage.2024.120866","url":null,"abstract":"<div><div>Corticostriatal connections are essential for motivation, cognition, and behavioral flexibility. There is broad interest in using resting-state functional magnetic resonance imaging (rs-fMRI) to link circuit dysfunction in these connections with neuropsychiatric disorders. In this paper, we used tract-tracing data from non-human primates (NHPs) to assess the likelihood of monosynaptic connections being represented in rs-fMRI data of NHPs and humans. We also demonstrated that existing hub locations in the anatomical data can be identified in the rs-fMRI data from both species. To characterize this in detail, we mapped the complete striatal projection zones from 27 tract-tracer injections located in the orbitofrontal cortex (OFC), dorsal anterior cingulate cortex (dACC), ventromedial prefrontal cortex (vmPFC), ventrolateral PFC (vlPFC), and dorsal PFC (dPFC) of macaque monkeys. Rs-fMRI seeds at the same regions of NHP and homologous regions of human brains showed connectivity maps in the striatum mostly consistent with those observed in the tracer data. We then examined the location of overlap in striatal projection zones. The medial rostral dorsal caudate connected with all five frontocortical regions evaluated in this study in both modalities (tract-tracing and rs-fMRI) and species (NHP and human). Other locations in the caudate also presented an overlap of four frontocortical regions, suggesting the existence of different locations with lower levels of input diversity. Small retrograde tracer injections and rs-fMRI seeds in the striatum confirmed these cortical input patterns. This study sets the ground for future studies evaluating rs-fMRI in clinical samples to measure anatomical corticostriatal circuit dysfunction and identify connectional hubs to provide more specific treatment targets for neurological and psychiatric disorders.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"301 ","pages":"Article 120866"},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142350973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic functional connectivity in verbal cognitive control and word reading","authors":"Kazuki Sakakura ,&nbsp;Matthew Brennan ,&nbsp;Masaki Sonoda ,&nbsp;Takumi Mitsuhashi ,&nbsp;Aimee F Luat ,&nbsp;Neena I Marupudi ,&nbsp;Sandeep Sood ,&nbsp;Eishi Asano","doi":"10.1016/j.neuroimage.2024.120863","DOIUrl":"10.1016/j.neuroimage.2024.120863","url":null,"abstract":"<div><div>Cognitive control processes enable the suppression of automatic behaviors and the initiation of appropriate responses. The Stroop color naming task serves as a benchmark paradigm for understanding the neurobiological model of verbal cognitive control. Previous research indicates a predominant engagement of the prefrontal and premotor cortex during the Stroop task compared to reading. We aim to further this understanding by creating a dynamic atlas of task-preferential modulations of functional connectivity through white matter. Patients undertook word-reading and Stroop tasks during intracranial EEG recording. We quantified task-related high-gamma amplitude modulations at 547 nonepileptic electrode sites, and a mixed model analysis identified regions and timeframes where these amplitudes differed between tasks. We then visualized white matter pathways with task-preferential functional connectivity enhancements at given moments. Word reading, compared to the Stroop task, exhibited enhanced functional connectivity in inter- and intra-hemispheric white matter pathways from the left occipital-temporal region 350–600 ms before response, including the posterior callosal fibers as well as the left vertical occipital, inferior longitudinal, inferior fronto-occipital, and arcuate fasciculi. The Stroop task showed enhanced functional connectivity in the pathways from the left middle-frontal pre-central gyri, involving the left frontal u-fibers and anterior callosal fibers. Automatic word reading largely utilizes the left occipital-temporal cortices and associated white matter tracts. Verbal cognitive control predominantly involves the left middle frontal and precentral gyri and its connected pathways. Our dynamic tractography atlases may serve as a novel resource providing insights into the unique neural dynamics and pathways of automatic reading and verbal cognitive control.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"300 ","pages":"Article 120863"},"PeriodicalIF":4.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}