Neuroimage. Reports最新文献

{"title":"The influence of post-processing methods and frequency bands on rs-fMRI: An example of electroacupuncture at Zusanli (ST36)","authors":"YingJie Kang ,&nbsp;YiLei Chen ,&nbsp;ZhiGang Gong ,&nbsp;YanWen Huang ,&nbsp;Hui Wang ,&nbsp;Jiling Huang ,&nbsp;SongHua Zhan ,&nbsp;YiJing Li ,&nbsp;WenLi Tan","doi":"10.1016/j.ynirp.2025.100238","DOIUrl":"10.1016/j.ynirp.2025.100238","url":null,"abstract":"<div><h3>Objective</h3><div>Electroacupuncture at Zusanli (ST36) exerted an effect on brain function by regulating spontaneous brain activity. This study aims to investigate the influence of different post-processing methods of amplitude of low-frequency fluctuation (ALFF) and different frequency band to measure brain low-frequency oscillations (LFOs) after electroacupuncture at ST36.</div></div><div><h3>Methods</h3><div>Twenty-eight healthy subjects were recruited and received true electroacupuncture (EA) and sham electroacupuncture (SA) at ST36 respectively. The rs-fMRI scans were performed before and immediately after electroacupuncture. Three post-processing methods were used to evaluate the amplitude of LFOs: fractional ALFF (fALFF), percent amplitude of fluctuation (PerAF) and wavelet-transform ALFF (Wavelet-ALFF). Besides the conventional low-frequency band (0.01–0.1Hz), three additional sub-bands were observed, including slow-6 (0–0.01Hz), slow-5 (0.01–0.027Hz) and slow-4 (0.027–0.073Hz). Paired <em>t</em>-test was conducted to investigate the intra-group differences of three post-processing methods before and after each intervention. In the comparison of inter-group difference, the paired <em>t</em>-test was conducted between SA and EA.</div></div><div><h3>Results</h3><div>Electroacupuncture at ST36 increased LFO amplitudes, with more pronounced effects compared to SA. As compared to SA, the fALFF values in the left superior frontal gyrus and orbital middle frontal gyrus increased after EA. Only the EA group showed an increase in Wavelet-ALFF. PerAF was the most sensitive method for detecting LFO amplitude changes and revealed changes in white matter. Additionally, brain LFO changes were frequency-dependent, with more favorable results observed in the conventional low-frequency band and the slow-5 band.</div></div><div><h3>Conclusion</h3><div>Post-processing methods affect the interpretation of brain effects caused by electroacupuncture at ST36. FALFF was suitable for observing brain LFO differences between EA and SA. Wavelet-ALFF was stable but less sensitive. PerAF was a promising method for investigating LFOs in white matter. The brain LFO changes caused by electroacupuncture at ST36 were frequency-dependent.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100238"},"PeriodicalIF":0.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379320","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":"Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease","authors":"Isobel Timothea French ,&nbsp;Kuo-Hsuan Chang ,&nbsp;Wei-Kuang Liang ,&nbsp;Wen-Sheng Chang ,&nbsp;Yen-Shi Lo ,&nbsp;Yi-Ru Wang ,&nbsp;Mei-Ling Cheng ,&nbsp;Norden E. Huang ,&nbsp;Hsiu-Chuan Wu ,&nbsp;Siew-Na Lim ,&nbsp;Chiung-Mei Chen ,&nbsp;Chi-Hung Juan","doi":"10.1016/j.ynirp.2025.100241","DOIUrl":"10.1016/j.ynirp.2025.100241","url":null,"abstract":"<div><h3>Background</h3><div>The Flanker task measures visuospatial attention and assesses the attentional network by distinguishing pathways for enhancing information at attended regions and suppressing information at unattended ones (Kopp et al., 1996). In Parkinson's disease (PD), the attentional network is impaired due to dysfunctional fronto-subcortical circuits connected to the basal ganglia, disrupting response selection and inhibition. While electroencephalography (EEG) may reveal abnormalities of these circuits in PD, dynamic brain oscillations critical for interareal communications cannot be deciphered with conventional time-frequency analyses.</div></div><div><h3>Objective</h3><div>To utilize the novel Holo-Hilbert Spectral Analysis (HHSA) to reveal dynamic EEG features of the Flanker task in PD patients and healthy normal controls for differentiating and elucidating attentional network deficits in patients.</div></div><div><h3>Methods</h3><div>The novel HHSA was applied to uncover nonlinear features of the Flanker task EEG and to analyse connectivity using phase-amplitude cross-frequency coupling.</div></div><div><h3>Results</h3><div>Holo-Hilbert transform (HHT) results showed an attenuated midfrontal theta (FMθ) in the congruency effect in PD patients, consistent with past studies. HHSA showed a loss of low-frequency amplitude modulations (<em>f</em>_am) in the theta carrier frequency band (<em>f</em>_c) during the congruency effect in PD. Importantly, connectivity analyses using the Holo-Hilbert cross-frequency phase clustering (HHCFPC) revealed a loss of theta-gamma cross frequency coupling (CFC) from the right prefrontal cortex to other frontal and contralateral regions. Decrements were also shown in PD patients from right frontal cortical to occipital areas in theta-beta CFC.</div></div><div><h3>Conclusions</h3><div>These visuospatial attention deficits of PD revealed with the advanced analytical method of the HHSA and HHCFPC may inaugurate further neurophysiological biomarkers for cognitive function evaluation in PD and related movement disorders.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100241"},"PeriodicalIF":0.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379319","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":"Asymmetric representation of symmetric semantic information in the human brain","authors":"Jiaxin Wang ,&nbsp;Kiichi Kawahata ,&nbsp;Antoine Blanc ,&nbsp;Naoya Maeda ,&nbsp;Shinji Nishimoto ,&nbsp;Satoshi Nishida","doi":"10.1016/j.ynirp.2025.100243","DOIUrl":"10.1016/j.ynirp.2025.100243","url":null,"abstract":"<div><div>Specific pairs of semantic entities have symmetric relationships, such as word pairs with opposite meanings (e.g., “intelligent” and “stupid”; “human” and “mechanical”). Such semantic symmetry is a key feature of semantic information. However, the representation of symmetric semantic information in the brain is not yet understood. For example, it remains unclear whether symmetric pairs of semantic information are represented in overlapping or distinct brain regions. We addressed this question in a data-driven manner by using the voxelwise modeling of movie-evoked cortical response measured by functional magnetic resonance imaging. In this modeling, response in each voxel was predicted from semantic labels designated for each movie scene. The semantic labels consisted of 30 different concepts, including 15 pairs of semantically symmetric concepts. Each concept was manually evaluated using a 5-point scale. By localizing the semantic representation associated with each concept based on the voxelwise accuracy of brain-response predictions, we found that semantic representations of symmetric concept pairs are broadly distributed but with little overlap in the cortex. Additionally, the weight of voxelwise models revealed highly complex, various patterns of cortical representations for each concept pair. These results suggest that symmetric semantic information has rather asymmetric and heterogeneous representations in the human brain.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100243"},"PeriodicalIF":0.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377497","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":"Regional gray matter thickness correlations of the hearing and deaf feline brains","authors":"Stephen G. Gordon ,&nbsp;Alessandra Sacco ,&nbsp;Stephen G. Lomber","doi":"10.1016/j.ynirp.2025.100239","DOIUrl":"10.1016/j.ynirp.2025.100239","url":null,"abstract":"<div><div>The overall function and associated structure of the brain changes dramatically following early-onset hearing loss in a process known as compensatory crossmodal plasticity. As the microscale changes to cerebral morphology driving these adaptations can be reflected macrostructurally in MRI analyses, high interregional correlations in features such as gray matter thickness are potentially indicative of functional relationships. To probe the changes in these associations following deafness using structure alone, perinatally-deafened and hearing control cats were scanned at 7T to obtain high-resolution T1-weighted images. After calculating regional thicknesses for 146 cortical areas, the 10,585 associated pairwise correlations were used to establish group-specific structural connectomes. Similar distributions of correlation strength were revealed between the two populations, however there was an overall increase in the density of the structurally-defined connectome following deafness. The connections demonstrating the most dramatic increases of correlational strength in the deprived group were those relating to the auditory and visual cortices, with a more balanced distribution of increases and decreases to connections involving solely non-sensory regions. In corroboration with previous feline structural- and diffusion-based neuroimaging literature, these results imply a reorganization of cortical gray matter to increase the overall processing of the remaining senses within a potentially less complex and more redundant connectome. The present study adds to the developing field of deafness literature through the implementation of novel analyses that add an additional perspective on neuroplasticity within the feline brain.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100239"},"PeriodicalIF":0.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350485","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":"Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation","authors":"Oezdemir Cetin ,&nbsp;Berkay Canel ,&nbsp;Gamze Dogali ,&nbsp;Unal Sakoglu","doi":"10.1016/j.ynirp.2025.100235","DOIUrl":"10.1016/j.ynirp.2025.100235","url":null,"abstract":"<div><div>Segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) data presents a significant challenge due to the necessity for large volumes of training data and a sophisticated training process. Traditional MRI datasets often lack the extensive sample sizes required for effective training, necessitating the exploration of alternative methods for accurate segmentation. This study proposes a robust machine learning algorithm designed to identify MS lesions using both single-modal and multi-modal MRI data. The proposed algorithm employs Convolutional Neural Networks (CNNs) in the form of U-Net architecture, a renowned model for biomedical image segmentation. To address the issue of insufficient training data, data augmentation techniques have been implemented, enhancing the diversity and volume of the training set. The dataset for this study was created from MRI data of 20 subjects. The algorithm's effectiveness was evaluated using the DSC score, a statistical tool that measures the similarity between two samples. The model achieved a DSC score of 0.7960 in the training set and 0.7912 in the test set, demonstrating its effectiveness in performing segmentation of MS from multi-modal MRI data. The predicted locations of MS lesions were compared with the corresponding layers of white matter, gray matter, and cerebrospinal fluid within the brain. This innovative approach aims to enhance the accuracy and efficiency of MS lesion segmentation, contributing to advancements in precision medicine and the overall understanding of MS.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100235"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168526","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":"Diffusion MRI-based analysis of functional alterations of the glymphatic system in children with non-lesional epilepsy","authors":"Bixia Wu ,&nbsp;Gengbiao Zhang ,&nbsp;Yanting Wang ,&nbsp;Hongyi Zheng ,&nbsp;Hui Tan ,&nbsp;Wenbin Zheng","doi":"10.1016/j.ynirp.2025.100237","DOIUrl":"10.1016/j.ynirp.2025.100237","url":null,"abstract":"<div><h3>Objective</h3><div>Based on diffusion tensor imaging (DTI) data, we used DTI-analysis along the perivascular space (DTI-ALPS) and free-water mapping to investigate the function of the glymphatic system and its relationship with clinical features among pediatric patients with magnetic resonance imaging (MRI)-negative non-lesional epilepsy (NLE).</div></div><div><h3>Methods</h3><div>A total of 83 NLE children (mean age 9.25 ± 4.07 years) and 45 matched healthy controls (mean age 9.36 ± 3.89 years) were recruited. All eligible patients were routinely scanned by 3.0T MRI to rule out organic lesions, and DTI data were collected at the same time. The ALPS index and fractional volume of free water in white matter (FW-WM) in the brain were calculated to analyze the differences between groups and the correlation between the corresponding parameters and clinical indicators such as age of onset, duration of the disease, seizure frequency, and seizure duration.</div></div><div><h3>Results</h3><div>The NLE group had significantly lower ALPS indexes in the left (ALPS-L, F = 4.415, p = 0.038) and right (ALPS-R, F = 12.673, p = 0.001) cerebral hemispheres compared to the HC group. ALPS-L was positively correlated with age of onset (r = 0.322, p = 0.008) and negatively correlated with FW-WM (r = −0.337, p &lt; 0.001). Free-water mapping revealed substantially higher FW-WM in the NLE group compared to the HC group (F = 4.666, p = 0.033). Additionally, FW-WM was negatively correlated with age of onset (r = −0.463, p &lt; 0.001) and positively associated with seizure control in children with NLE (r = 0.306, p = 0.012).</div></div><div><h3>Conclusion</h3><div>Children with NLE have reduced glymphatic system function, and the underlying pathophysiologic mechanisms may be due to impaired interstitial fluid clearance and retention in the brain. DTI-ALPS and free-water mapping are useful noninvasive approaches for examining glymphatic function in children with NLE, with the FW-WM potentially serving as an imaging marker for disease progression and predicting clinical prognosis in children with NLE.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100237"},"PeriodicalIF":0.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168529","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":"Cholinergic neurotransmission in the anterior cingulate cortex is associated with cognitive performance in healthy older adults: Baseline characteristics of the Improving Neurological Health in Aging via Neuroplasticity-based Computerized Exercise (INHANCE) trial","authors":"Ana de Figueiredo Pelegrino ,&nbsp;Mouna Attarha ,&nbsp;Paule-Joanne Toussaint ,&nbsp;Lydia Ouellet ,&nbsp;Sarah-Jane Grant ,&nbsp;Thomas Van Vleet ,&nbsp;Etienne de Villers-Sidani","doi":"10.1016/j.ynirp.2025.100234","DOIUrl":"10.1016/j.ynirp.2025.100234","url":null,"abstract":"<div><div>Aging is associated with dysfunction in the cholinergic system, including degeneration of basal forebrain cholinergic terminals that innervate the cortex, which directly contributes to age- and disease-related cognitive decline. In this study, we used [18F]fluoroethoxybenzovesamicol ([18F]FEOBV) positron emission tomography (PET) imaging to assess the effect of age on cholinergic terminal integrity in predefined regions of interest and its relationship to cognitive performance in healthy older adults who underwent neuropsychological assessment and FEOBV PET brain imaging. Our results showed age-related reductions in FEOBV binding, particularly in the anterior cingulate cortex-the primary region of interest-as well as in the striatum, posterior cingulate cortex, and primary auditory cortex. Notably, FEOBV binding in the anterior cingulate cortex was positively correlated with cognitive performance on the NIH EXAMINER Executive Composite Score. These findings suggest that [18F]FEOBV PET imaging can be used as a reliable biomarker to assess cholinergic changes in the human brain and indicate that preserving the cholinergic integrity of the basal forebrain may help maintain cognitive function and protect against age-related cognitive decline.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100234"},"PeriodicalIF":0.0,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168530","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":"Fully automated grading of pituitary adenoma","authors":"Raffaele Da Mutten ,&nbsp;Olivier Zanier ,&nbsp;Massimo Bottini ,&nbsp;Yves Baumann ,&nbsp;Olga Ciobanu-Caraus ,&nbsp;Luca Regli ,&nbsp;Carlo Serra ,&nbsp;Victor E. Staartjes","doi":"10.1016/j.ynirp.2025.100233","DOIUrl":"10.1016/j.ynirp.2025.100233","url":null,"abstract":"<div><h3>Background</h3><div>The Zurich Pituitary Score (ZPS) is an externally validated radiological grading scale to predict the likelihood of gross total resection (GTR) on coronal T1w magnetic resonance imaging of pituitary adenomas. The ZPS is based on the ratio of maximum tumor horizontal diameter and minimum intercarotid distance and on carotid artery encasement. While the interobserver agreement of the ZPS was relatively good, automated grading would be beneficial.</div></div><div><h3>Methods</h3><div>A nnU-Net algorithm was trained to segment the manually labeled tumor tissue and the cavernous segment of the internal carotid artery. Subsequently, maximum horizontal tumor diameter and minimum intercarotid distance were extracted. Last, a seed-growing algorithm checked for encasement of the carotid to determine the ZPS.</div></div><div><h3>Results</h3><div>213 patients were included, of which 128 (60%) had non-functioning adenomas, 49 (23%) a growth-hormone secreting and 19 (9%) a prolactin producing tumor. Accordingly, ZPS gradings were I = 63 (30%), II = 94 (44%), III = 41 (19%) and IV = 15 (7%). Dice score (mean ± standard deviation) for the tumor, left carotid, and right carotid in training validation of 0.78 ± 0.24, 0.62 ± 0.31, 0.62 ± 0.30 and during holdout testing of 0.79 ± 0.24, 0.59 ± 0.32, 0.58 ± 0.33 was reached. After the exclusion of two cases with poor segmentation results, intraclass correlation coefficients [95% CI] for the intercarotid distance, maximum horizontal tumor diameter, and the ZPS ratio of the two measurements were 0.89 [0.80, 0.94], 0.91 [0.82, 0.96], 0.80 [0.66, 0.89] respectively. Cohen's weighted Kappa for the final ZPS grading was 0.79 [0.68, 0.90] and Spearman rank correlation was 0.83.</div></div><div><h3>Conclusions</h3><div>We developed and internally validated a machine learning-based method for fully automated grading of the ZPS. Generally, robust segmentation performance was achieved. While ZPS grading generally worked well, human ratings remain superior in many situations. Especially for raters with low experience, our approach offers a solid and objective alternative.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100233"},"PeriodicalIF":0.0,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169527","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":"Resting-state connectivity and task-based cortical response in post-stroke executive dysfunction: A fNIRS study","authors":"Kayee Chong ,&nbsp;Songmei Chen ,&nbsp;Xixi Chen ,&nbsp;Xiaolin Zhang ,&nbsp;Deng Liu ,&nbsp;Zhiqing Zhou ,&nbsp;Xiaowen Wang ,&nbsp;Jingjing Zhang ,&nbsp;Chunlei Shan","doi":"10.1016/j.ynirp.2025.100236","DOIUrl":"10.1016/j.ynirp.2025.100236","url":null,"abstract":"<div><h3>Objective</h3><div>This study attempted to investigate the frontoparietal cortical reorganization associated with executive function (EF) in post-stroke executive dysfunction (PSED) patients, focusing on resting-state, Stroop and 1-back task-based functional connectivity (FC) using functional near-infrared spectroscopy (fNIRS).</div></div><div><h3>Methods</h3><div>We recorded oxygenated hemoglobin concentration signals from bilateral inferior parietal lobule (R_IPL/L_IPL), pre-motor area (R_PMA/L_PMA), dorsolateral prefrontal cortex (R_DLPFC/L_DLPFC), Broca's area (R_Broca/L_Broca) and frontopolar cortex (FPC) of 20 PSED patients and 20 healthy controls (HCs). We compared group differences in cortical response, including functional connectivity (FC) during resting-state, task-based FC during Stroop and 1-back task as well as cortical activation during these tasks. Additionally, we analyzed the correlation between MoCA scores, task performance, and any specific cortical response that showed differences.</div></div><div><h3>Results</h3><div>PSED patients exhibited hypoactivation in executive-related regions during both Stroop and 1-back tasks compared to HCs. During the Stroop task, cross-hemispheric hyperconnectivity from the left inferior parietal lobule (IPL) to the right Broca's area suggested compensatory adaptation. During the 1-back task, within-frontal and intra-hemispheric hypoconnectivity indicated maladaptive neural reorganization. Correlation analyses revealed that increased directed FC from the left IPL to right Broca was positively associated with Stroop reaction time, while decreased directed FC from the right IPL to the frontopolar cortex (FPC) was negatively associated with 1-back task performance in PSED patients.</div></div><div><h3>Conclusions</h3><div>Our study highlights the importance of including the parietal cortex in fNIRS studies of PSED to obtain a comprehensive understanding of EF deficits. From the investigation of task-based cortical response, PSED patients exhibited different patterns of FC despite reduced task-based cortical activation: compensatory cross-hemispheric hyperconnectivity during the Stroop task, while maladaptive within-frontal and between IPL and frontopolar hypoconnectivity during the 1-back task. Incorporating the insights gained from our study, future research can explore multi-targeted neuromodulation strategies that address frontal and parietal cortices may be more effective in improving cognitive outcomes in stroke survivors.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100236"},"PeriodicalIF":0.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169528","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":"Brain perfusion and blood-brain barrier permeability in systemic lupus erythematosus patients: Associations with disease activity, cognitive dysfunction, fatigue and pain","authors":"Tim Salomonsson ,&nbsp;Kristoffer A. Zervides ,&nbsp;Andreas Jönsen ,&nbsp;Malte Knutsson ,&nbsp;Ronnie Wirestam ,&nbsp;Jimmy Lätt ,&nbsp;Anders A. Bengtsson ,&nbsp;Linda Knutsson ,&nbsp;Pia C. Sundgren","doi":"10.1016/j.ynirp.2024.100232","DOIUrl":"10.1016/j.ynirp.2024.100232","url":null,"abstract":"<div><div>High disease activity, cognitive dysfunction (CD), fatigue and pain negatively affect the quality of life in patients with systemic lupus erythematosus (SLE). However, the impact on brain perfusion and blood-brain barrier (BBB) permeability remains incompletely understood. Therefore, we utilized 3 T dynamic susceptibility contrast magnetic resonance imaging to investigate these factors in a cohort of 66 female SLE patients. Normalized leakage corrected cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and the BBB leakage parameter K_2, were compared within the cohort by splitting the group into patients with and without each symptom respectively. Fourteen regions of interest were chosen, and the results were adjusted for age, disease duration, smoking and glucocorticoids. We found regional significant alterations in the different SLE subgroups compared to patients without each corresponding symptom, with patterns as follows: moderate to high disease activity (n = 17, decreased MTT, increased K₂), CD in ≥1 domain (n = 36, decreased MTT, increased K₂), CD in ≥2 domains (n = 20, increased CBF, CBV and K₂), fatigue (n = 44, increased CBV and MTT), pain (n = 9, increased CBF and CBV, decreased MTT). Additionally, inverse correlations were found between cognitive scores and K₂ in multiple areas, indicating increased BBB permeability with worse cognitive performance. To elucidate the underlying mechanisms, longitudinal studies should be conducted in a larger variation of patients, using different measurements of BBB disruption.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100232"},"PeriodicalIF":0.0,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169529","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}