Neuroimage. Reports最新文献

{"title":"Utilization of resting-state electroencephalography spectral power in convolutional neural networks for classification of primary progressive aphasia","authors":"Christina Quinn ,&nbsp;Alex Craik ,&nbsp;Rachel Tessmer ,&nbsp;Maya L. Henry ,&nbsp;Heather Dial","doi":"10.1016/j.ynirp.2025.100242","DOIUrl":"10.1016/j.ynirp.2025.100242","url":null,"abstract":"<div><div>We investigated relative power spectral density (PSD) in primary progressive aphasia (PPA) in delta, theta, alpha, and beta frequency bands in eyes open and closed resting-state electroencephalography (EEG). Our aims were to assess whether discernible differences could be observed between each PPA variant and to determine the utility of PSD for PPA classification when used as input to a convolutional neural network (CNN). Findings in the current study were similar to previous studies in logopenic PPA, with a significant increase in relative PSD in delta and theta bands and a significant reduction in the beta band (consistent with oscillatory slowing). We did not observe a significant increase in power for lower frequency bands or a reduction of power in higher frequency bands for semantic or nonfluent PPA, in contrast to what has been previously reported. In semantic PPA, evidence pointed to oscillatory speeding, not the slowing that was previously reported in a single-case study. In nonfluent PPA, spectral power fell between logopenic and semantic PPA, suggesting there is oscillatory slowing but to a lesser extent than logopenic PPA. The CNN was relatively successful in distinguishing PPA from healthy controls (F1 = 0.851). The CNN did not perform as well on four-way classification (lvPPA, svPPA, nfvPPA, controls; F1 = 0.586) but was significantly above chance. These results are promising and suggest that resting-state EEG may prove useful as a biomarker for PPA diagnosis. Potential factors underlying the differences between the findings of the current study and previous work are discussed.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100242"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422076","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":"Functional connectivity of subsystems of the default-mode network in patients with early psychotic symptoms","authors":"Nicky Lute ,&nbsp;Imke Lemmers-Jansen ,&nbsp;Lydia Krabbendam ,&nbsp;Mariët van Buuren","doi":"10.1016/j.ynirp.2025.100248","DOIUrl":"10.1016/j.ynirp.2025.100248","url":null,"abstract":"<div><div>Resting-state connectivity of the default-mode network (DMN) is aberrant in patients with chronic psychotic disorders as well in individuals with early stage psychosis. Studies of the DMN in healthy volunteers revealed that the DMN comprises several subnetworks. However, it is not yet clear if connectivity between and within these DMN subnetworks is aberrant in patients with early psychotic symptoms nor whether these connectivity patterns are related to symptomatology. This initial investigation examined functional connectivity between and within the DMN subnetworks in patients with early psychotic symptoms and in healthy volunteers, and probed how these connectivity patterns were related to the severity of clinical symptomatology. Functional connectivity was measured during resting-state in 30 patients with early psychotic symptoms and in 39 controls using functional MRI. We did not observe differences in connectivity within and between the subnetworks of the DMN between the control group and the early psychosis group. However, lower functional connectivity between the medial prefrontal and posterior medial subnetworks and between medial prefrontal and anterior temporal subnetworks of the DMN did predict the severity of the negative symptoms. The findings of this initial investigation provide insight into the associations between functional connectivity of DMN subnetworks and symptomatology in patients with early psychotic symptoms.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100248"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591542","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":"Radiation-induced brain injury in non-human primates: A dual tracer PET study with [11C]MPC-6827 and [11C]PiB","authors":"Naresh Damuka ,&nbsp;George W. Schaaf ,&nbsp;Mack Miller ,&nbsp;Caleb Bradley ,&nbsp;Bhuvanachandra Bhoopal ,&nbsp;Ivan Krizan ,&nbsp;Krishna K. Gollapelli ,&nbsp;Christopher T. Whitlow ,&nbsp;J. Mark Cline ,&nbsp;Kiran K. Solingapuram Sai","doi":"10.1016/j.ynirp.2025.100245","DOIUrl":"10.1016/j.ynirp.2025.100245","url":null,"abstract":"<div><div>Radiation-induced brain injury (RIBI) and Alzheimer's disease (AD) share key pathological features, including β-amyloid (Aβ) plaque formation and microtubule (MT) destabilization, both contributing to neurodegeneration. This pilot study assessed Aβ deposition and MT stability in non-human primates (NHPs) exposed to ionizing radiation, utilizing [¹¹C]PiB and [¹¹C]MPC-6827 PET imaging to explore neurodegenerative mechanisms. Fourteen rhesus macaques, seven irradiated and seven controls underwent PET imaging. Tracers were synthesized and brain regions (ex. cingulate, hippocampus, and occipital lobe) were analyzed for tracer uptake. Although no statistically significant whole-brain differences in tracer uptake were found between irradiated and control groups, significant regional differences were observed in the occipital lobe, where irradiated NHPs exhibited higher [¹¹C]MPC-6827 uptake (p &lt; 0.0001), suggesting MT destabilization. No significant differences were found in [¹¹C]PiB uptake. Correlation analysis revealed a slight positive association (Pearson r = 0.2866) between irradiation dose and [¹¹C]MPC-6827 uptake. These findings suggest that irradiation-induced MT destabilization may be region-specific, offering insights into shared neurodegenerative pathways in RIBI and AD, highlighting the potential of [¹¹C]MPC-6827 as a marker for early neuronal dysfunction in irradiated brains.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100245"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of 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":"2025-03-01","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":"Practical scan-length considerations for mapping upper limb movements to the somatosensory/motor cortex at 7T: A pilot study","authors":"D. Rangaprakash ,&nbsp;Olivia E. Rowe ,&nbsp;Hyungeun Song ,&nbsp;Samantha Gutierrez-Arango ,&nbsp;Julianna Gerold ,&nbsp;Erica A. Israel ,&nbsp;Michael F. Fernandez ,&nbsp;Matthew J. Carty ,&nbsp;Hugh M. Herr ,&nbsp;Robert L. Barry","doi":"10.1016/j.ynirp.2025.100240","DOIUrl":"10.1016/j.ynirp.2025.100240","url":null,"abstract":"<div><div>The relationship between motor cortex (M1) and upper limb movements has been investigated extensively using functional MRI (fMRI). While most research has focused on applications, very few studies have focused on practical aspects of developing the fMRI protocol. Thus, the effect of scan length on M1 activations during various upper limb movements remains unclear. Scan length constraints are important for conducting motor experiments within a 60- or 90-minute scan session. We targeted this gap in the literature in this pilot study by investigating 7T fMRI activations in a male participant while performing eight different upper limb movements (of the fingers, wrist, and elbow) across 16 task runs (8 with the left arm, 8 with the right arm, 88 minutes total fMRI duration). Standard activation analyses were performed (<em>Z</em> &gt; 3.1, <em>p</em> &lt; 0.01, cluster thresholded) independently for 14 different cases (2 runs through 8 runs, left and right arm) and subsequently compared. We found diminishing returns, presented as activations gradually plateauing, with higher number of runs. We observed two broad categories of movements, one with generally higher activation (more activated voxels and higher Z-stats) and the other with lower activation. To achieve similar statistical power, movements with lower activation required longer scanning (more runs). Based on these observations, we propose a ‘<em>one size does not fit all</em>’ practical protocol within a 60-, 75-, or 90- minute scan session, wherein different numbers of runs are assigned for different movements. We validated the 75-minute protocol using seven separate scans (N = 3). Our study could benefit researchers who are designing upper limb fMRI experiments.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100240"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437405","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":"2025-03-01","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":"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":"2025-03-01","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}

{"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":"2025-03-01","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":"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":"2025-03-01","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":"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":"2025-03-01","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}