{"title":"Neural and computational mechanisms of loss aversion in smartphone addiction.","authors":"Jinlian Wang, Chang Liu, Xiang Li, Yuanyuan Gao, Weipeng Jin, Pinchun Wang, Xuyi Chen, Qiang Wang","doi":"10.1093/cercor/bhaf150","DOIUrl":"https://doi.org/10.1093/cercor/bhaf150","url":null,"abstract":"<p><p>Smartphones have become integral to daily life, and their overuse can lead to various maladaptive behaviors and decision-making patterns. This study investigated the neural and computational mechanisms underlying smartphone addiction, focusing on its impact on loss-aversion decision-making. We combined computational models, such as the Drift Diffusion Model, with a novel analytic approach, intersubject representational similarity analysis (IS-RSA). Behavioral results showed that higher smartphone addiction symptom (SAS) scores were correlated with reduced loss-aversion (lnλ), while the drift rate was positively associated with SAS. Furthermore, the drift rate mediated the relationship between SAS and lnλ. Neuroimaging analyses revealed that SAS was associated with increased gain-related activity in the occipital pole (OP) but decreased activity in the precuneus and middle frontal gyrus. Additionally, reduced activity was observed in the angular gyrus and superior temporal gyrus during loss processing. IS-RSA further identified brain activation patterns in the default mode network, frontoparietal network, visual network, and sensorimotor network, which corresponded to intersubject variations in SAS, particularly during gain processing but not during loss processing. These patterns were also observed when gains and losses were processed simultaneously. Mediation analyses indicated that brain activation strengths in the OP, precuneus, and MFG during gain processing mediated the relationship between SAS and lnλ and drift rate. Similar mediation effects were observed for intersubject variations in SAS and computational process patterns (eg decision threshold, drift rate, and nondecision time) within these networks. These findings provide novel insights into the neural and computational mechanisms of loss aversion in smartphone addiction, with implications for understanding cognitive biases and informing interventions for addictive behaviors.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf149
Qian Zhuang, Zhaojia Gu, Bihuan Lai, Matthew Lock, Shuaiyu Chen
{"title":"Neurophysiological evidence of romantic love- and maternal love-specific vicarious risk and outcome processing during dynamic decision-making.","authors":"Qian Zhuang, Zhaojia Gu, Bihuan Lai, Matthew Lock, Shuaiyu Chen","doi":"10.1093/cercor/bhaf149","DOIUrl":"https://doi.org/10.1093/cercor/bhaf149","url":null,"abstract":"<p><p>Vicarious decision-making is a fundamental to social interactions. Growing evidence suggests that the neural mechanisms underlying such decisions may vary according to interpersonal relationship types. However, the specific modulatory effects of romantic love on vicarious risk assessment and outcome evaluation during dynamic decision-making remain unclear. Against this background, we employed a computerized gambling task combined with electroencephalography (EEG) to examine the neurophysiological correlates of romantic love's influence on vicarious decision processes in romantically involved young adults (n = 40) while also investigating comparative effects of maternal love. Our results showed relationship-specific risk cues and outcome processing patterns during vicarious decision-making. In detail, we found enhanced N100 and late positive potential (LPP) amplitudes for romantic partner at the cue phase but increased P300 amplitudes to wins and attenuated LPP amplitudes to losses for mother at the feedback phase. Additionally, oscillatory analysis revealed reduced alpha band oscillation for self versus strangers and attenuated theta band oscillation for partners relative to mothers during low-risk conditions. Together, these findings demonstrate that vicarious risk and outcome processing are fundamentally shaped by interpersonal relationships, with romantic partners and mothers eliciting qualitatively distinct neural response patterns in romantically involved individuals.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf132
Qi Zhang, Zimeng Li, Peng Zhao, Xuelai Liu, Zhe-Wu Jin
{"title":"Dissecting the shared genetic architecture of schizophrenia with ventricular subregion volumes.","authors":"Qi Zhang, Zimeng Li, Peng Zhao, Xuelai Liu, Zhe-Wu Jin","doi":"10.1093/cercor/bhaf132","DOIUrl":"https://doi.org/10.1093/cercor/bhaf132","url":null,"abstract":"<p><p>Schizophrenia is characterized by cerebral ventricular enlargement as an early and consistent structural anomaly. While genetic factors significantly influence both schizophrenia and cerebral ventricular enlargement, the shared genetic etiology between them requires further investigation. Using summary statistics from recent large genome-wide association studies on schizophrenia and 9 ventricular subregion volumes phenotypes. Gaussian causal mixture modeling was applied to characterize the genetic architecture and overlap between schizophrenia and ventricular subregion volumes phenotypes. Local genetic correlation was investigated with Local Analysis of Variant Association. The conjunctional false discovery rate framework was used to identify the specific shared genetic loci, annotated with FUMA. Gaussian causal mixture modeling estimated schizophrenia to be more polygenic more polygenic (9574 trait-influencing variants) than ventricular subregion volumes phenotypes (157-1267 trait-influencing variants). Conjunctional false discovery rate analysis identified 42 shared genetic loci, 17 loci were identified as novel for both schizophrenia and the ventricular subregion volumes phenotypes. Local Analysis of Variant Association revealed that 11 distinct loci demonstrated significant differences, among which 4 loci were situated in the Major Histocompatibility Complex region. Annotated genes in shared loci were enriched in molecular signaling pathways involved in inflammation and the brain structure. The shared loci between them were annotated and enriched in Major Histocompatibility Complex and inflammation-related pathways, highlighting new opportunities for future investigation.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf130
Zhifeng Li, Bin Wang, Lan Yang, Yan Niu, Qin Luo, Shuo Zhao
{"title":"Structure-function connectomics reveals aberrant left hemispheric developmental trajectory in autism spectrum disorder.","authors":"Zhifeng Li, Bin Wang, Lan Yang, Yan Niu, Qin Luo, Shuo Zhao","doi":"10.1093/cercor/bhaf130","DOIUrl":"https://doi.org/10.1093/cercor/bhaf130","url":null,"abstract":"<p><p>Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by structural and functional brain differences relative to typically developing individuals. Although previous work has identified abnormalities in rich-club (RC) organization and left-right asymmetry in ASD, the developmental trajectory of these anomalies remains unclear. In this study, we examined how age influences structure-function coupling and structural proportions in RC networks using data from 140 participants (aged 5-26 years) drawn from ABIDE II. Our findings revealed significant, age-related differences in the left hemisphere of ASD participants compared to controls, with the RC network predominantly localized in this region. Furthermore, an interaction effect in local RC organization-though not in global RC or feeder connections-was observed between diagnostic groups and brain lateralization. Notably, rightward lateralization in local RC networks increased with age in ASD individuals, whereas it decreased with age in controls. These results underscore an atypical, age-dependent pattern of hemispheric asymmetry in ASD and offer new insights into abnormal neurodevelopmental trajectories within RC organization.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf131
Colleen Hughes, Roberto C French, Richard Betzel, Anne C Krendl
{"title":"Functional reconfiguration between rest and movie watching relates to theory-of-mind performance among young and older adults.","authors":"Colleen Hughes, Roberto C French, Richard Betzel, Anne C Krendl","doi":"10.1093/cercor/bhaf131","DOIUrl":"10.1093/cercor/bhaf131","url":null,"abstract":"<p><p>Functional connectivity among macroscale brain networks is minimally modified across rest and task states, suggesting a shared functional architecture supporting efficient neural processing. The extent of reconfiguration (ie change between states), moreover, shows individual variation, with less reconfiguration generally being associated with better task performance. Older adults reconfigure more than young adults when completing goal-directed tasks with known age deficits. Less is known about task states that more closely mirror the complexity of daily life. Thus, we examined reconfiguration between rest and passive viewing of a mockumentary television show, involving richly contextualized social interactions, among young (18 to 35 years; N = 101) and older (61 to 92 years; N = 83) adults. Then, we related reconfiguration to participants' accurate understanding of those social interactions (theory of mind) on a novel task conducted outside of the scanner. Consistent with prior work, older adults exhibited greater cortical reconfiguration and worse theory-of-mind performance compared to young adults. Greater reconfiguration related to worse theory-of-mind performance, and the default and frontoparietal networks most strongly contributed to this association. These findings provide greater insight into how reduced neural specializations with age disrupt social cognition even in the absence of an explicit task.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12141200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233308","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}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf141
Makoto Miyakoshi, Hyeonseok Kim, Lisa A De Stefano, Lauren M Schmitt, Jordan E Norris, Lauren E Ethridge, Craig A Erickson, Ernest V Pedapati
{"title":"Hyper-extralemniscal model of Fragile X syndrome.","authors":"Makoto Miyakoshi, Hyeonseok Kim, Lisa A De Stefano, Lauren M Schmitt, Jordan E Norris, Lauren E Ethridge, Craig A Erickson, Ernest V Pedapati","doi":"10.1093/cercor/bhaf141","DOIUrl":"10.1093/cercor/bhaf141","url":null,"abstract":"<p><p>Auditory hypersensitivity is a well-established phenotype of Fragile X syndrome (FXS), but how it relates to neurobehavioral biomarkers remains poorly understood. To offer an integrated model, we propose a dual thalamic framework with hypo-lemniscal (LEM) and hyper-extralemniscal (EXLEM) thalamic models. Traditional FXS studies may have been conflating LEM and EXLEM systems, misrepresenting the origins of the hypersensitivity. We hypothesize that hyper-EXLEM pathology impacts FXS symptoms more. To test this hypothesis, we first review the dual thalamic systems and then demonstrate the hypo-LEM and hyper-EXLEM models in individuals with FXS. We use a 40 Hz auditory steady-state response (ie LEM responses) paradigm with relatively long (1.5 to 3 s) stimulus and interstimulus intervals to evoke N1/P2 as Vertex Potentials (VPs, ie EXLEM responses) for onset and offset of the stimulus. We analyzed electroencephaogram (EEG) responses from 29 FXS and 33 healthy comparison individuals. Results showed lower intertrial coherence (ITC) in FXS, consistent with hypo-LEM predictions, and larger vertex potentials consistent with hyper-EXLEM predictions. Correlation analyses revealed that enhanced VPs classified FXS males more sensitively than ITC. These findings indicate that hyperreactivity of the EXLEM system is more dominantly related to FXS, which can provide a more accurate account for guiding diagnostic and therapeutic strategies.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12167856/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301193","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":"Role of the monkey orbitofrontal cortex in processing the choice history during reward-based decision-making.","authors":"Moegi Higuchi, Tsuyoshi Setogawa, Takuto Izawa, Jumpei Matsumoto, Narihisa Matsumoto, Munetaka Shidara, Hiroshi Nishimaru","doi":"10.1093/cercor/bhaf147","DOIUrl":"https://doi.org/10.1093/cercor/bhaf147","url":null,"abstract":"<p><p>Decision-making is typically influenced by past choices. Previous studies have shown that the activity of neurons in the orbitofrontal cortex (OFC), which is involved in reward value coding, can be modulated by the reward values of previously chosen options. To further explore how the OFC processes the history of choice-related factors (HCF) from past choices, we analyzed the neuronal activity recorded in the monkey OFC during a decision-making task in which the monkeys could choose between two options based on their reward values. We found that the activity of over 70% of neurons was better explained by models that incorporated HCF than by models without it. The activity of these neurons during current choice was influenced by HCF in the previous trial. Additionally, some types of HCF were represented in these neurons between trials, suggesting that this information was maintained in the OFC and used to guide future decisions. Furthermore, a significant difference was observed in the choice reaction times between trials sorted by HCF. Pharmacological inactivation of the OFC by muscimol infusion eliminated such behavioral differences. These results indicate that HCF-modulated OFC activity contributes to the behavioral bias during current decision-making.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf172
{"title":"Correction to: Impact of working memory training on brain network integration and neurotransmitter systems: a resting-state fMRI study.","authors":"","doi":"10.1093/cercor/bhaf172","DOIUrl":"https://doi.org/10.1093/cercor/bhaf172","url":null,"abstract":"","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf126
Lauren S Aulet, Caroline M Kaicher, Jessica F Cantlon
{"title":"Intersection of spatial and numerical cognition in the developing brain.","authors":"Lauren S Aulet, Caroline M Kaicher, Jessica F Cantlon","doi":"10.1093/cercor/bhaf126","DOIUrl":"10.1093/cercor/bhaf126","url":null,"abstract":"<p><p>Early mathematical development is thought to depend on visuospatial processing, yet neural evidence for this relationship in young children has been limited. We examined the neural mechanisms supporting numerical and visuospatial processing in 4- to 8-year-old children and adults using functional magnetic resonance imaging (fMRI), with three tasks: numerical matching, geometric shape matching, and number line estimation. We found that specialization for numerical and geometric processing in parietal cortex exists by 4-8 years of age, and that children exhibited greater conjunctive activation between numerical and geometric tasks throughout the parietal cortex compared to adults. During the number line task, children's neural activity significantly overlapped with activity from both number and geometric shape matching tasks, whereas adults' activity only overlapped with the number task. These findings provide the first neural evidence that number line estimation relies on both numerical and geometric processing in children, whereas it depends primarily on number-specific processing in adults.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12141198/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233309","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}
Cerebral cortexPub Date : 2025-06-04DOI: 10.1093/cercor/bhaf135
Ricardo Muñoz-Arnaiz, Julia Makarova, Valeri A Makarov, Oscar Herreras
{"title":"Brain sources composing irregular field potentials have unique temporal signatures.","authors":"Ricardo Muñoz-Arnaiz, Julia Makarova, Valeri A Makarov, Oscar Herreras","doi":"10.1093/cercor/bhaf135","DOIUrl":"10.1093/cercor/bhaf135","url":null,"abstract":"<p><p>The prevailing irregular pattern of field potentials is little used due to the uncertain origin and identity of the source populations. After recovering clean source-specific dynamics (field potential-generators) in multiple brain areas of anesthetized rats we explored if they contain temporal identity features and to what extent they remain upon blending in the volume (raw field potentials). Relevant factors and mechanisms were further explored through a feed-forward model of field potentials. Signals were characterized with a multivariate set of statistical, spectral and nonlinear measures and explored with machine-learning classifiers. Despite the strong variability of electrographic patterns, field potential generators exhibit unique temporal signatures that allow their discrimination. Signatures are contained in 1 to 5 s segments in any given brain region and are robust across groups of animals. In contrast, the spatial overlap of sources and the contribution by remote potentials cause indeterminacy of raw field potentials, making them approach a noisy behavior. The so revealed source-specific signatures contain spectral and nonlinear features, thus overcoming the traditional notion of waves and frequency bands. We propose that besides upstream dynamics cytoarchitectural factors of the source population contribute to these unique signatures. These findings pave the way to utilize the vast reserve of information contained in irregular field potentials.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144282553","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}