NeuroImagePub Date : 2024-11-14DOI: 10.1016/j.neuroimage.2024.120926
Zhaoyang Jin , Jiuwen Cao , Mei Zhang , Qing-San Xiang
{"title":"Using High-Pass Filter to Enhance Scan Specific Learning for MRI Reconstruction without Any Extra Training Data","authors":"Zhaoyang Jin , Jiuwen Cao , Mei Zhang , Qing-San Xiang","doi":"10.1016/j.neuroimage.2024.120926","DOIUrl":"10.1016/j.neuroimage.2024.120926","url":null,"abstract":"<div><div>In accelerated MRI, the robust artificial-neural-network for k-space interpolation (RAKI) method is an attractive learning-based reconstruction that does not require additional training data. This study was focused on obtaining high quality MR images from regular under-sampled multi-coil k-space data using a high-pass filtered RAKI (HP-RAKI) reconstruction without any extra training data. MRI scan from human subjects was under-sampled with a regular pattern using skipped phase encoding and a fully sampled k-space center. A high-pass (HP) filter was applied in k-space to reduce image support to facilitate linear prediction. The HP filtered k-space center was used to train the RAKI network without any extra training data. The unacquired k-space data can be predicted from a trained RAKI network with optimized parameters. Final reconstruction was obtained after performing an inverse HP filtering for the predicted k-space data. This HP-RAKI method can be extended to corresponding residual structure (HP-rRAKI). HP-RAKI was compared with GRAPPA, HP-GRAPPA, RAKI and MW-RAKI algorithms, and HP-rRAKI was compared with corresponding residual extensions, including rRAKI and MW-rRAKI, all qualitatively and quantitatively using visual inspection and such metrics as SSIM and PSNR. HP-RAKI and HP-rRAKI were found to be effective in reconstructing MR images even at high acceleration factors. HP-RAKI and HP-rRAKI compared favorably with other algorithms. Using high-pass filtered central k-space data for training, HP-RAKI offers higher reconstruction quality for regularly under-sampled multi-coil k-space data without any extra training data. It has shown promising capabilities for fast MRI applications, especially those lacking fully sampled training data.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120926"},"PeriodicalIF":4.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639328","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}
NeuroImagePub Date : 2024-11-14DOI: 10.1016/j.neuroimage.2024.120935
Sara Khoshdooz , Ali Bonyad , Reihaneh Bonyad , Parisa Khoshdooz , Ali Jafari , Sama Rahnemayan , Hamid Abbasi
{"title":"Role of dietary patterns in older adults with cognitive disorders: An umbrella review utilizing neuroimaging biomarkers","authors":"Sara Khoshdooz , Ali Bonyad , Reihaneh Bonyad , Parisa Khoshdooz , Ali Jafari , Sama Rahnemayan , Hamid Abbasi","doi":"10.1016/j.neuroimage.2024.120935","DOIUrl":"10.1016/j.neuroimage.2024.120935","url":null,"abstract":"<div><div>Various dietary patterns (DPs) may benefit or harm cognitive status through their components. Publications assessing the impact of DPs on cognitive scores using neuropsychological tests have often led to less promising results. Recently, numerous meta-analyses and systematic reviews have utilized neuroimaging to identify more subtle brain-associated alterations related to cognition. Combining neuroimaging methods with neuropsychological assessments could clarify these findings. This umbrella review was conducted to systematically explore evidence on the impact of DPs on neuroimaging biomarkers in older adults with cognitive disorders. Scientific databases, including Scopus, PubMed, and Web of Science, were comprehensively searched from the earliest available data until May 11, 2024. Out of 89 papers, 15 meta-analyses and systematic reviews were included in our umbrella review. These selected papers addressed 27 DPs and their impact on neuroimaging biomarkers. Most selected papers were of moderate quality. Studies revealed that greater adherence to the Mediterranean diet (MedDiet) correlated with increased cortical thickness, improved glucose metabolism in the brain, and reduced amyloid-beta and tau deposition, as evidenced by magnetic resonance imaging and other neuroimaging techniques. Higher adherence to healthy DPs, such as the MedDiet, reduced the risk of Alzheimer's disease and mild cognitive impairment. In contrast, Western and high glycemic diets were associated with increased cognitive decline.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120935"},"PeriodicalIF":4.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639325","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}
NeuroImagePub Date : 2024-11-14DOI: 10.1016/j.neuroimage.2024.120924
Xinglin Zeng , Lin Hua , Guolin Ma , Zhiying Zhao , Zhen Yuan
{"title":"Dysregulated neurofluid coupling as a new noninvasive biomarker for primary progressive aphasia","authors":"Xinglin Zeng , Lin Hua , Guolin Ma , Zhiying Zhao , Zhen Yuan","doi":"10.1016/j.neuroimage.2024.120924","DOIUrl":"10.1016/j.neuroimage.2024.120924","url":null,"abstract":"<div><div>Accumulation of pathological tau is one of the primary causes of Primary Progressive Aphasia (PPA). The glymphatic system is crucial for removing metabolite waste from the brain whereas impairments in glymphatic clearance in PPA are poorly understood. Thus, this study aims to investigate the role of dysregulated macroscopic cerebrospinal fluid (CSF) movement in PPA. Fifty-six PPA individuals and ninety-four healthy controls were included in our analysis after excluding those with excessive head motions during the scan. The coupling strength between blood-oxygen-level-dependent (BOLD) signals in the gray matter and CSF flow was calculated using Pearson correlation and compared between the groups. Its associations with clinical characteristics including scores from Clinical Dementia Rating (CDR), Mini-Mental State Exam, Geriatric Depression Scale and with morphological measures in the hippocampus and entorhinal cortex were examined. PPA subjects exhibited weaker global BOLD-CSF coupling compared to HCs, indicating impairments in glymphatic function in the patients (p = 0.01). In the PPA but not HC group, global BOLD-CSF coupling correlated with the CDR scores (p = 0.04) and hippocampal volume (p = 0.009). The observed decoupling between global brain activity and CSF flow and its association with symptomatology and brain structural changes in PPA converges with previous reports on the same measure in other neurodegenerative diseases. These findings support the potential role of global BOLD-CSF coupling as a noninvasive marker for glymphatic dysregulation in PPA.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120924"},"PeriodicalIF":4.7,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639313","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}
NeuroImagePub Date : 2024-11-13DOI: 10.1016/j.neuroimage.2024.120932
Amirreza Asayesh , Sampsa Vanhatalo , Anton Tokariev
{"title":"The impact of EEG electrode density on the mapping of cortical activity networks in infants","authors":"Amirreza Asayesh , Sampsa Vanhatalo , Anton Tokariev","doi":"10.1016/j.neuroimage.2024.120932","DOIUrl":"10.1016/j.neuroimage.2024.120932","url":null,"abstract":"<div><h3>Objective</h3><div>Electroencephalography (EEG) is widely used for assessing infant's brain activity, and multi-channel recordings support studies on functional cortical networks. Here, we aimed to assess how the number of recording electrodes affects the quality and level of details accessible in studying infant's cortical networks.</div></div><div><h3>Methods</h3><div>Dense array EEG recordings with 124 channels from N=20 infants were used as the reference, and lower electrode numbers were subsampled to simulate recording setups with 63, 31, and 19 electrodes, respectively. Cortical activity networks were computed for each recording setup and different frequencies using amplitude and phase correlation measures. The effects of the recording setup were systematically assessed on global, nodal, and edge levels.</div></div><div><h3>Results</h3><div>Compared to the reference 124-channel recording setup, lowering electrode density affected network measures in a modality- and frequency-specific manner. The global network features were essentially comparable with 63 or 31 channels. However, the analytic reliability of the local network measures, both at nodal and edge levels, was proportional to the electrode density. The low-frequency amplitude correlations were most robust to the number of recording electrodes, whereas higher frequency phase correlation networks were most sensitive to the density of recording electrodes.</div></div><div><h3>Conclusions</h3><div>Our findings suggest strong and predictable effects of recording setup on the network analyses. Higher electrode number supports studies on networks with phase correlations, higher frequency, and finer spatial details.</div></div><div><h3>Significance</h3><div>The relationship between the recording setup and reliability of network analyses is essential for the prospective design of research data collection, as well as for guiding analytic strategies when using already collected EEG data from infants.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120932"},"PeriodicalIF":4.7,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639326","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}
NeuroImagePub Date : 2024-11-13DOI: 10.1016/j.neuroimage.2024.120931
Bianca Maria di Bello , Andrea Casella , Merve Aydin , Stefania Lucia , Francesco Di Russo , Sabrina Pitzalis
{"title":"Electrophysiological indexes of the cognitive-motor trade-off associated with motor response complexity in a cognitive task","authors":"Bianca Maria di Bello , Andrea Casella , Merve Aydin , Stefania Lucia , Francesco Di Russo , Sabrina Pitzalis","doi":"10.1016/j.neuroimage.2024.120931","DOIUrl":"10.1016/j.neuroimage.2024.120931","url":null,"abstract":"<div><div>Complex actions require more cognitive and motor control than simple ones. Literature shows that to face complexity, the brain must make a compromise between available resources usually giving priority to motor control. However, literature has minimally explored the effect of the motor response complexity on brain processing associated with cognitive tasks. Consequently, it is unknown whether carrying out a cognitive task requiring motor responses of increasing complexity could reduce cognitive processing keeping stable motor control. Therefore, this study aims to investigate possible modulations exerted by increasing motor response complexity in a cognitive task on brain processing. To this aim, we analyzed the event-related potentials and behavioral responses during a cognitive task with increasing complexity of the required motor response (keypress, reaching and stepping). Results showed the increasing motor complexity enhances early visual and attentional processing (P1 and N1 components) but reduces the late post-perceptual cognitive control (P3 component). Additionally, we found a component following the P3 which was specific for stimuli requiring a response. This component, labeled N750, increased amplitude along with the response motor complexity. Behaviorally, response accuracy was not affected by complexity. Results indicated that in cognitive tasks stimulus processing is affected by the complexity of the motor response. Complex responses require a greater investment of early perceptual and attentional resources, but at late phases of processing, cognitive resources are less available in favor of motor resources. This confirms the idea of the motor-priority cognitive-motor trade-off of the brain.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120931"},"PeriodicalIF":4.7,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624662","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}
NeuroImagePub Date : 2024-11-12DOI: 10.1016/j.neuroimage.2024.120927
Shirin Mahdavi , Axel Lindner , Carsten Schmidt-Samoa , Anna-Lena Müsch , Peter Dechent , Melanie Wilke
{"title":"Neural correlates of sensorimotor adaptation: Thalamic contributions to learning from sensory prediction error","authors":"Shirin Mahdavi , Axel Lindner , Carsten Schmidt-Samoa , Anna-Lena Müsch , Peter Dechent , Melanie Wilke","doi":"10.1016/j.neuroimage.2024.120927","DOIUrl":"10.1016/j.neuroimage.2024.120927","url":null,"abstract":"<div><div>Understanding the neural mechanism of sensorimotor adaptation is essential to reveal how the brain learns from errors, a process driven by sensory prediction errors. While the previous literature has focused on cortical and cerebellar changes, the involvement of the thalamus has received less attention. This functional magnetic resonance imaging study aims to explore the neural substrates of learning from sensory prediction errors with an additional focus on the thalamus. Thirty participants adapted their goal-directed reaches to visual feedback rotations introduced in a step-wise manner, while reporting their predicted visual consequences of their movements intermittently. We found that adaptation initially engaged the cerebellum and fronto-parietal cortical regions, which persisted as adaptation progressed. By the end of adaptation, additional regions within the fronto-parietal cortex and medial pulvinar of the thalamus were recruited. Another finding was the involvement of bilateral medial dorsal nuclei, which showed a positive correlation with the level of motor adaptation. Notably, the gradual shift in the predicted hand movement consequences was associated with activity in the cerebellum, motor cortex and thalamus (ventral lateral, medial dorsal, and medial pulvinar). Our study presents clear evidence for an involvement of the thalamus, both classical ‘motor’ and higher-order nuclei, in error-based motor learning.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120927"},"PeriodicalIF":4.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624679","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}
NeuroImagePub Date : 2024-11-12DOI: 10.1016/j.neuroimage.2024.120925
Wei Liu , Xuemin Zhang
{"title":"Using independent component analysis to extract a cross-modality and individual-specific brain baseline pattern","authors":"Wei Liu , Xuemin Zhang","doi":"10.1016/j.neuroimage.2024.120925","DOIUrl":"10.1016/j.neuroimage.2024.120925","url":null,"abstract":"<div><div>The ongoing brain activity serves as a baseline that supports both internal and external cognitive processes. However, its precise nature remains unclear. Considering that people display various patterns of brain activity even when engaging in the same task, it is reasonable to believe that individuals possess their unique brain baseline pattern. Using spatial independent component analysis on a large sample of fMRI data from the Human Connectome Project (HCP), we found an individual-specific component which can be consistently extracted from either resting-state or different task states and is reliable over months. Compared to functional connectome fingerprinting, it is much more stable across different fMRI modalities. Its stability is closely related to high explained variance and is minimally influenced by factors such as noise, scan duration, and scan interval. We propose that this component underlying the ongoing activity represents an individual-specific baseline pattern of brain activity.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120925"},"PeriodicalIF":4.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624684","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}
NeuroImagePub Date : 2024-11-08DOI: 10.1016/j.neuroimage.2024.120920
Luoyu Wang , Xiumei Wu , Jinyi Song , Yanhui Fu , Zhenqiang Ma , Xiaoyan Wu , Yiying Wang , Yulin Song , Fenyang Chen , Zhongxiang Ding , Yating Lv
{"title":"Unraveling the influences of hemodynamic lag and intrinsic cerebrovascular reactivity on functional metrics in ischemic stroke","authors":"Luoyu Wang , Xiumei Wu , Jinyi Song , Yanhui Fu , Zhenqiang Ma , Xiaoyan Wu , Yiying Wang , Yulin Song , Fenyang Chen , Zhongxiang Ding , Yating Lv","doi":"10.1016/j.neuroimage.2024.120920","DOIUrl":"10.1016/j.neuroimage.2024.120920","url":null,"abstract":"<div><div>Resting-state functional magnetic resonance imaging (rs-fMRI) is a prominent tool for investigating functional deficits in stroke patients. However, the extent to which the hemodynamic lags (LAG) and the intrinsic cerebrovascular reactivity (iCVR) may affect the rs-fMRI metrics in different scales needs to be clarified for ischemic stroke. In this study, 73 ischemic stroke patients and 74 healthy controls (HC) were recruited to investigate how the correction of the LAG and/or iCVR would influence resting-state functional magnetic resonance imaging (rs-fMRI) metrics of three different spatial scales (local-scale, meso-scale and global-scale) in ischemic stroke. The analysis revealed that the Stroke pattern of all functional metrics using different correction strategies resembled the HC pattern. The highest overlap was observed in the Stroke pattern with correction for both LAG and iCVR, while the pattern without correction showed the lowest overlap. Most functional metrics after correction showed higher sensitivity in detecting between-group differences than those without correction. Moreover, our results were generally reproducible in an independent dataset. Collectively, these findings emphasize the necessity of considering LAG and iCVR effects to investigate stroke-related functional alterations, and highlight the significance of correction strategies for accurately interpreting the findings in rs-fMRI study of ischemic stroke.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120920"},"PeriodicalIF":4.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624701","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}
NeuroImagePub Date : 2024-11-08DOI: 10.1016/j.neuroimage.2024.120923
Aqian Li , Chuansheng Chen , Xiaoyan Wu , Yuan Feng , Jingyu Yang , Xiaoxue Feng , Rui Hu , Leilei Mei
{"title":"Processing demands modulate the activities and functional connectivity patterns of the posterior (VWFA-1) and anterior (VWFA-2) VWFA","authors":"Aqian Li , Chuansheng Chen , Xiaoyan Wu , Yuan Feng , Jingyu Yang , Xiaoxue Feng , Rui Hu , Leilei Mei","doi":"10.1016/j.neuroimage.2024.120923","DOIUrl":"10.1016/j.neuroimage.2024.120923","url":null,"abstract":"<div><div>Previous studies have shown that the visual word form area (VWFA) has structural and intrinsic functional connectivity with both language and attention networks. Nevertheless, it is still unclear how the functional connectivity pattern of the VWFA is regulated by processing demands induced by experimental tasks, and whether processing demands differentially regulate the posterior (VWFA-1) and anterior (VWFA-2) subregions of the VWFA. To address these questions, the present study adopted two tasks varying in processing demands (i.e., verbal and non-verbal tasks), and used generalized psychophysiological interaction (gPPI) and dynamic causal modeling (DCM) analyses to explore the task-dependent functional connectivity patterns of the two subregions of the VWFA. Activation analysis revealed that the VWFA-2 showed higher activation for the verbal task than the non-verbal task, while there were no activation differences in the VWFA-1 after controlling for the stimulus driven effects. Functional and effective connectivity analyses revealed that, for both VWFA-1 and VWFA-2, the verbal task enhanced connections from VWFAs to the ventral language regions (e.g., the left orbital frontal cortex), while the non-verbal task enhanced connections from VWFAs to the dorsal visuospatial regions (e.g., the left intraparietal sulcus). Results of the present study indicate that processing demands induced by tasks modulate both the local activity and functional connectivity patterns of the VWFA, providing new insights for understanding its domain-general function.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120923"},"PeriodicalIF":4.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624698","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}
NeuroImagePub Date : 2024-11-08DOI: 10.1016/j.neuroimage.2024.120896
F. Leone , A. Caporali , A. Pascarella , C. Perciballi , O. Maddaluno , A. Basti , P. Belardinelli , L. Marzetti , G. Di Lorenzo , V. Betti
{"title":"Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data","authors":"F. Leone , A. Caporali , A. Pascarella , C. Perciballi , O. Maddaluno , A. Basti , P. Belardinelli , L. Marzetti , G. Di Lorenzo , V. Betti","doi":"10.1016/j.neuroimage.2024.120896","DOIUrl":"10.1016/j.neuroimage.2024.120896","url":null,"abstract":"<div><div>Accurate EEG source localization is crucial for mapping resting-state network dynamics and it plays a key role in estimating source-level functional connectivity. However, EEG source estimation techniques encounter numerous methodological challenges, with a key one being the selection of the regularization parameter in minimum norm estimation. This choice is particularly intricate because the optimal amount of regularization for EEG source estimation may not align with the requirements of EEG connectivity</div><div>analysis, highlighting a nuanced trade-off. In this study, we employed a methodological approach to determine the optimal regularization coefficient that yields the most effective reconstruction outcomes across all simulations involving varying signal-to-noise ratios for synthetic EEG signals. To this aim, we considered three resting state networks: the Motor Network, the Visual Network, and the Dorsal Attention Network. The performance was assessed using three metrics, at different regularization parameters: the Region Localization Error, source extension, and source fragmentation. The results were validated using real functional connectivity data. We show that the best estimate of functional connectivity is obtained using 10<sup>−2</sup>, while 10<sup>−1</sup> has to be preferred when source localization only is at target.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"303 ","pages":"Article 120896"},"PeriodicalIF":4.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624665","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}