Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121662
Di Yuan , Jonathan Chan , Zeshan Shoaib , Kai-Young Chan , Adam Kielman , Patrick C. M. Wong
Collective human behavior plays a crucial role in the development of culture. However, whether and how different forms of collective behavior contain different social dynamics remains a cross-disciplinary debate regarding the mentalization during joint action in psychology as well as the sociality of music in ethnomusicology. This study delves into the comparison between congruent and incongruent joint actions from an interpersonal neural standpoint within the context of a joint musical performance. Simultaneously recording the neural activities of fifty pairs of string players during performance, we identified distinct regions within the mentalizing network, specifically the prefrontal cortex (PFC) and the left temporoparietal junction (TPJ), that support congruent (unison) and incongruent (melody-accompaniment) musical performances, respectively. During incongruent performances, higher levels of interpersonal neural coupling (INC) were observed in the left TPJ, an area responsible for adjusting the differences between self and others. In contrast, during congruent performances, higher INC was seen in the PFC, an area associated with monitoring and predicting the actions of others. Quantitative and qualitative data showed converging evidence that incongruent performances were more demanding, requiring more attention to the partner and precise coordination of intonation and rhythm. Moreover, the melody player led the accompanist in terms of INC during incongruent performances, which also revealed greater consensus in ratings between players and the audience. Our study highlighted the social significance of incongruent joint actions.
{"title":"Distinct social dynamics of joint action represented by interpersonal neural coupling in congruent and incongruent joint musical performances","authors":"Di Yuan , Jonathan Chan , Zeshan Shoaib , Kai-Young Chan , Adam Kielman , Patrick C. M. Wong","doi":"10.1016/j.neuroimage.2025.121662","DOIUrl":"10.1016/j.neuroimage.2025.121662","url":null,"abstract":"<div><div>Collective human behavior plays a crucial role in the development of culture. However, whether and how different forms of collective behavior contain different social dynamics remains a cross-disciplinary debate regarding the mentalization during joint action in psychology as well as the sociality of music in ethnomusicology. This study delves into the comparison between congruent and incongruent joint actions from an interpersonal neural standpoint within the context of a joint musical performance. Simultaneously recording the neural activities of fifty pairs of string players during performance, we identified distinct regions within the mentalizing network, specifically the prefrontal cortex (PFC) and the left temporoparietal junction (TPJ), that support congruent (unison) and incongruent (melody-accompaniment) musical performances, respectively. During incongruent performances, higher levels of interpersonal neural coupling (INC) were observed in the left TPJ, an area responsible for adjusting the differences between self and others. In contrast, during congruent performances, higher INC was seen in the PFC, an area associated with monitoring and predicting the actions of others. Quantitative and qualitative data showed converging evidence that incongruent performances were more demanding, requiring more attention to the partner and precise coordination of intonation and rhythm. Moreover, the melody player led the accompanist in terms of INC during incongruent performances, which also revealed greater consensus in ratings between players and the audience. Our study highlighted the social significance of incongruent joint actions.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121662"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145794455","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2026.121689
Andrew Hannum, Mario A. Lopez
Brain parcellation schemes are fundamental to neuroimaging, yet general-purpose atlases may obscure the specific functional architecture relevant to a given cognitive task or clinical condition. This reflects a growing consensus that the “optimal” brain map is context-dependent. Here, we introduce a novel framework that validates this principle by generating task-optimized human brain parcellation maps directly from supervised learning objectives. Our method defines functional parcels by grouping brain regions based on the similarity of their contributions to a classifier’s decision boundary for a specific goal (e.g., cognitive state decoding or clinical group separation). This approach prioritizes a region’s discriminative role over simple signal homogeneity or spatial contiguity. We demonstrate that these objective-driven parcellations reveal a latent functional organization of the brain, an implicit task-relevant architecture defined not by signal homogeneity but by the shared discriminative role of brain regions. On Human Connectome Project data, our parcellations significantly improved cognitive state decoding, and on ADNI data, they enhanced Alzheimer’s Disease classification. Beyond improving accuracy, the resulting parcellations exhibited unique neurobiological properties: they identified spatially coherent, high-resolution maps of task-relevant information that were obscured by standard atlases and showed a trade-off between task-specificity and overall signal homogeneity. These optimized maps generalized across independent datasets, highlighting that they capture robust principles of task-dependent brain organization. This work provides a framework for moving beyond universal atlases, enabling the generation of context-specific brain maps that offer a new window into the functional architecture underlying specific cognitive processes and disease states.
{"title":"Task-optimized brain parcellations reveal latent functional organization for enhanced connectivity-based neuroimaging classification","authors":"Andrew Hannum, Mario A. Lopez","doi":"10.1016/j.neuroimage.2026.121689","DOIUrl":"10.1016/j.neuroimage.2026.121689","url":null,"abstract":"<div><div>Brain parcellation schemes are fundamental to neuroimaging, yet general-purpose atlases may obscure the specific functional architecture relevant to a given cognitive task or clinical condition. This reflects a growing consensus that the “optimal” brain map is context-dependent. Here, we introduce a novel framework that validates this principle by generating task-optimized human brain parcellation maps directly from supervised learning objectives. Our method defines functional parcels by grouping brain regions based on the similarity of their contributions to a classifier’s decision boundary for a specific goal (e.g., cognitive state decoding or clinical group separation). This approach prioritizes a region’s discriminative role over simple signal homogeneity or spatial contiguity. We demonstrate that these objective-driven parcellations reveal a latent functional organization of the brain, an implicit task-relevant architecture defined not by signal homogeneity but by the shared discriminative role of brain regions. On Human Connectome Project data, our parcellations significantly improved cognitive state decoding, and on ADNI data, they enhanced Alzheimer’s Disease classification. Beyond improving accuracy, the resulting parcellations exhibited unique neurobiological properties: they identified spatially coherent, high-resolution maps of task-relevant information that were obscured by standard atlases and showed a trade-off between task-specificity and overall signal homogeneity. These optimized maps generalized across independent datasets, highlighting that they capture robust principles of task-dependent brain organization. This work provides a framework for moving beyond universal atlases, enabling the generation of context-specific brain maps that offer a new window into the functional architecture underlying specific cognitive processes and disease states.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121689"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145912409","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121652
Elena Ortiz-Teran , Laura Ortiz-Teran , David L Perez , Tomas Ortiz , Ibai Diez
Sensory substitution devices (SSDs) have shown promising results in restoring basic visual function in blind subjects by translating visual information into tactile stimuli. However, the specific neuroplastic changes enabling this process remain poorly defined. Although cross-modal plasticity has been widely described through a range of intermediate cortical steps from somatosensory regions to the primary visual cortex, the brain’s ability to search for a direct route makes the thalamo-occipital pathway the most viable reorganization option after long-term passive tactile stimulation. In this study, we use resting-state fMRI to investigate whether SSD training could redirect functional connections from the somatosensory thalamic nuclei to the primary occipital areas. After 6 months of training, blind children showed increased connectivity between the somatosensory thalamic nuclei and the occipital regions. This stronger connectivity was associated with improved performance in identifying tactile stimuli. These findings support the hypothesis that long-term passive tactile training leads to subcortical functional reorganization rather than cortical changes. Specifically, the results showed an increase in connectivity between somatosensorial and multimodal integration thalamic nuclei and the visual cortical regions.
{"title":"Long-term visual-to-tactile stimulation induces functional reorganization of thalamic pathways to achieve visual perception","authors":"Elena Ortiz-Teran , Laura Ortiz-Teran , David L Perez , Tomas Ortiz , Ibai Diez","doi":"10.1016/j.neuroimage.2025.121652","DOIUrl":"10.1016/j.neuroimage.2025.121652","url":null,"abstract":"<div><div>Sensory substitution devices (SSDs) have shown promising results in restoring basic visual function in blind subjects by translating visual information into tactile stimuli. However, the specific neuroplastic changes enabling this process remain poorly defined. Although cross-modal plasticity has been widely described through a range of intermediate cortical steps from somatosensory regions to the primary visual cortex, the brain’s ability to search for a direct route makes the thalamo-occipital pathway the most viable reorganization option after long-term passive tactile stimulation. In this study, we use resting-state fMRI to investigate whether SSD training could redirect functional connections from the somatosensory thalamic nuclei to the primary occipital areas. After 6 months of training, blind children showed increased connectivity between the somatosensory thalamic nuclei and the occipital regions. This stronger connectivity was associated with improved performance in identifying tactile stimuli. These findings support the hypothesis that long-term passive tactile training leads to subcortical functional reorganization rather than cortical changes. Specifically, the results showed an increase in connectivity between somatosensorial and multimodal integration thalamic nuclei and the visual cortical regions.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121652"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145775163","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121651
Jo Armour Smith , Rongwen Tain , Kelli G. Sharp , Laura M Glynn , Linda R. Van Dillen , Jesse V. Jacobs , Steven C. Cramer
Maladaptive plasticity in the brain may contribute to chronic low back pain (LBP) and underlie the altered postural control of the lumbopelvic musculature that is evident in some individuals with LBP. We recently described an MRI-compatible leg-raise paradigm to measure brain activity associated with lumbopelvic postural control. The objective of this study was to compare brain function in young adults with and without a history of LBP and to determine relationships between brain function, pain, and postural control characteristics. We recruited 55 participants with a history of LBP, who were asymptomatic when studied, and 30 healthy controls. Postural control during leg-raise tasks were quantified using electromyography and ground reaction forces. Group differences in movement-related brain activation during the leg-raise tasks were assessed with fMRI and associations among brain activation, postural control, and pain characteristics were examined. Compared with controls, participants with LBP had greater activation in the angular gyri, posterior cingulate cortices; and greater peak signal change in the right angular gyrus, right pre-central gyrus, and left globus pallidus. Abnormal postural control was associated with greater activation in right pre-central gyrus and left posterior cingulate cortex. Worse pain characteristics associated with less activation in left posterior cingulate cortex and more activation in right angular gyrus. Pathological changes in movement-related brain function are evident early in the time-course of LBP, persist between symptomatic episodes, and associate with clinical characteristics. These findings suggest biomarkers of dysfunction in pain-related circuits associated with LBP and have implications for pathophysiology of this condition.
{"title":"Abnormalities in sensorimotor brain function are related to chronicity of low back pain","authors":"Jo Armour Smith , Rongwen Tain , Kelli G. Sharp , Laura M Glynn , Linda R. Van Dillen , Jesse V. Jacobs , Steven C. Cramer","doi":"10.1016/j.neuroimage.2025.121651","DOIUrl":"10.1016/j.neuroimage.2025.121651","url":null,"abstract":"<div><div>Maladaptive plasticity in the brain may contribute to chronic low back pain (LBP) and underlie the altered postural control of the lumbopelvic musculature that is evident in some individuals with LBP. We recently described an MRI-compatible leg-raise paradigm to measure brain activity associated with lumbopelvic postural control. The objective of this study was to compare brain function in young adults with and without a history of LBP and to determine relationships between brain function, pain, and postural control characteristics. We recruited 55 participants with a history of LBP, who were asymptomatic when studied, and 30 healthy controls. Postural control during leg-raise tasks were quantified using electromyography and ground reaction forces. Group differences in movement-related brain activation during the leg-raise tasks were assessed with fMRI and associations among brain activation, postural control, and pain characteristics were examined. Compared with controls, participants with LBP had greater activation in the angular gyri, posterior cingulate cortices; and greater peak signal change in the right angular gyrus, right pre-central gyrus, and left globus pallidus. Abnormal postural control was associated with greater activation in right pre-central gyrus and left posterior cingulate cortex. Worse pain characteristics associated with less activation in left posterior cingulate cortex and more activation in right angular gyrus. Pathological changes in movement-related brain function are evident early in the time-course of LBP, persist between symptomatic episodes, and associate with clinical characteristics. These findings suggest biomarkers of dysfunction in pain-related circuits associated with LBP and have implications for pathophysiology of this condition.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121651"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805058","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}
Large-scale brain networks are well-established in resting-state research and are increasingly being used in task-based functional magnetic resonance imaging (fMRI) studies. However, the mechanisms by which brain networks dynamically reorganize across the various stages of decision-making remain unclear. Here, we investigated the neural basis of decision-making by integrating voxel-based morphometry and fMRI within a modified “Wheel of Fortune” gambling task. Stage-specific brain activation was characterized using the Yeo-7 network atlas to delineate large-scale network dynamics across task stages. We found that: (1) Reaction time (RTs) were significantly longer during choose conditions compared to follow conditions; (2) Gray matter volume correlated with individual variability in RT and predicted RT during choose conditions using multivariate pattern analysis with a Kernel Ridge Regression model, effects absent during follow conditions; (3) A negative correlation was observed between RT and activation in the right superior temporal gyrus and left mid-cingulate cortex; (4) Choice stage involved more extensive network engagement than the result and rating stages, with the rating stage showing the lowest overall activation. Network-specific fractional contributions revealed dominant engagement of the ventral attention network, default mode network, and somato-motor network during the choice stage; the frontoparietal network (FPN), dorsal attention network (DAN), and visual network during the result stage; and the DAN and FPN during the rating stage. These findings provide structural and functional explanations for individual differences in decision speed within a gambling paradigm, revealing the distinct and dynamic roles of brain networks across decision stages and offering mechanistic insights into the neural architecture of this process.
{"title":"Gray matter volume predicts decision speed and reveals stage-specific contributions of large-scale brain networks in gambling tasks","authors":"Tingting Zhang, Qiuzhu Zhang, Ronglong Xiong, Junjun Zhang, Zhenlan Jin, Ling Li","doi":"10.1016/j.neuroimage.2025.121659","DOIUrl":"10.1016/j.neuroimage.2025.121659","url":null,"abstract":"<div><div>Large-scale brain networks are well-established in resting-state research and are increasingly being used in task-based functional magnetic resonance imaging (fMRI) studies. However, the mechanisms by which brain networks dynamically reorganize across the various stages of decision-making remain unclear. Here, we investigated the neural basis of decision-making by integrating voxel-based morphometry and fMRI within a modified “Wheel of Fortune” gambling task. Stage-specific brain activation was characterized using the Yeo-7 network atlas to delineate large-scale network dynamics across task stages. We found that: (1) Reaction time (RTs) were significantly longer during choose conditions compared to follow conditions; (2) Gray matter volume correlated with individual variability in RT and predicted RT during choose conditions using multivariate pattern analysis with a Kernel Ridge Regression model, effects absent during follow conditions; (3) A negative correlation was observed between RT and activation in the right superior temporal gyrus and left mid-cingulate cortex; (4) Choice stage involved more extensive network engagement than the result and rating stages, with the rating stage showing the lowest overall activation. Network-specific fractional contributions revealed dominant engagement of the ventral attention network, default mode network, and somato-motor network during the choice stage; the frontoparietal network (FPN), dorsal attention network (DAN), and visual network during the result stage; and the DAN and FPN during the rating stage. These findings provide structural and functional explanations for individual differences in decision speed within a gambling paradigm, revealing the distinct and dynamic roles of brain networks across decision stages and offering mechanistic insights into the neural architecture of this process.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121659"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145794461","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121667
Lin Xu , Lei Peng , Xin An , Xiao Zhong , Yongcong Shao , Yuefang Dong , Weiwei Fu
Background
Sleep is crucial for optimal sensorimotor integration, a fundamental process enabling coordinated motor responses to sensory inputs. However, the neurophysiological mechanisms through which acute sleep deprivation impairs this integration remain incompletely understood. This study investigates the impact of acute sleep deprivation on postural balance and elucidates the underlying multilayered mechanisms using a combination of behavioral, psychophysiological, and neuroimaging indicators.
Methods
Twenty-five healthy young participants underwent 36 h of total sleep deprivation. Before and after the deprivation period, data were collected on postural stability metrics, psychomotor vigilance (PVT), critical flicker fusion frequency (CFF), resting-state electroencephalography (EEG), and resting-state functional magnetic resonance imaging (fMRI). Correlation analyses were performed to examine the associations between changes in behavioral performance (postural balance, PVT, and CFF) and alterations in psychophysiological measures (EEG spectral power and fMRI resting-state activity).
Results
Sleep deprivation significantly impaired balance, particularly with eyes closed, and was associated with reduced alertness and increased visual fatigue. EEG revealed elevated low-frequency power in occipital and frontal regions. fMRI showed altered activity in sensorimotor-related areas, especially the caudate nucleus, cerebellum, and thalamus.
Conclusion
Acute sleep deprivation impairs postural stability by disrupting key nodes and networks involved in sensorimotor integration. This disruption manifests as reduced visual cortical excitability (affecting sensory input), weakened cognitive regulation within the frontoparietal network (impairing sensory processing and motor planning), and altered functional status of subcortical sensorimotor hubs (compromising motor coordination and feedback). These findings demonstrate that sleep deprivation compromises the neural circuitry governing the transformation of sensory information into appropriate motor outputs for balance control. This study provides comprehensive multimodal neuroimaging evidence for the neurobiological mechanisms linking insufficient sleep to impaired sensorimotor function.
{"title":"Sleep deprivation disrupts postural balance and sensorimotor integration: A combined psychophysiological–behavioral analysis","authors":"Lin Xu , Lei Peng , Xin An , Xiao Zhong , Yongcong Shao , Yuefang Dong , Weiwei Fu","doi":"10.1016/j.neuroimage.2025.121667","DOIUrl":"10.1016/j.neuroimage.2025.121667","url":null,"abstract":"<div><h3>Background</h3><div>Sleep is crucial for optimal sensorimotor integration, a fundamental process enabling coordinated motor responses to sensory inputs. However, the neurophysiological mechanisms through which acute sleep deprivation impairs this integration remain incompletely understood. This study investigates the impact of acute sleep deprivation on postural balance and elucidates the underlying multilayered mechanisms using a combination of behavioral, psychophysiological, and neuroimaging indicators.</div></div><div><h3>Methods</h3><div>Twenty-five healthy young participants underwent 36 h of total sleep deprivation. Before and after the deprivation period, data were collected on postural stability metrics, psychomotor vigilance (PVT), critical flicker fusion frequency (CFF), resting-state electroencephalography (EEG), and resting-state functional magnetic resonance imaging (fMRI). Correlation analyses were performed to examine the associations between changes in behavioral performance (postural balance, PVT, and CFF) and alterations in psychophysiological measures (EEG spectral power and fMRI resting-state activity).</div></div><div><h3>Results</h3><div>Sleep deprivation significantly impaired balance, particularly with eyes closed, and was associated with reduced alertness and increased visual fatigue. EEG revealed elevated low-frequency power in occipital and frontal regions. fMRI showed altered activity in sensorimotor-related areas, especially the caudate nucleus, cerebellum, and thalamus.</div></div><div><h3>Conclusion</h3><div>Acute sleep deprivation impairs postural stability by disrupting key nodes and networks involved in sensorimotor integration. This disruption manifests as reduced visual cortical excitability (affecting sensory input), weakened cognitive regulation within the frontoparietal network (impairing sensory processing and motor planning), and altered functional status of subcortical sensorimotor hubs (compromising motor coordination and feedback). These findings demonstrate that sleep deprivation compromises the neural circuitry governing the transformation of sensory information into appropriate motor outputs for balance control. This study provides comprehensive multimodal neuroimaging evidence for the neurobiological mechanisms linking insufficient sleep to impaired sensorimotor function.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121667"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145800547","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121672
Catherine A. Mikkelsen , Emma C. Robertson , Leah H. Somerville , Makeda M. Mayes , Andrew N. Meltzoff , Katie A. McLaughlin , Maya L. Rosen
The COVID-19 pandemic presented numerous novel stressors to youth which have been associated with worsening mental health. Previous work has shown that individuals with high reward sensitivity show resilience in the face of individualized stressors. Here, we sought to investigate whether individuals with high reward sensitivity prior to pandemic onset would be resilient to the community-level stressor of the pandemic. Sensitivity to reward was defined here as neural activation in the ventromedial prefrontal cortex (vmPFC) and striatum for wins as compared to losses in a reward-based task measured prior to the pandemic. We used data from the Human Connectome Project in Development collected before the pandemic onset, and follow-up data which was collected from the same participants during the pandemic. Activity in the left vmPFC moderated the association between pandemic-related stressors and change in internalizing psychopathology. Although those with low reward sensitivity showed a positive association between exposure to stressors and increase in psychopathology during the pandemic relative to baseline, those with high sensitivity to reward did not show increased symptoms with increased stressors. We found no effect of activity in the striatum or right vmPFC on the association between stressors and change in psychopathology. Additionally, we did not find a moderating effect of neural reward reactivity and change in externalizing psychopathology. These findings add to a growing literature highlighting reward sensitivity, measured prior to stressor onset, as a source of stress resilience.
{"title":"Reward reactivity as a buffer against negative mental health consequences of pandemic-related stress: a preregistered analysis in the human connectome project in development","authors":"Catherine A. Mikkelsen , Emma C. Robertson , Leah H. Somerville , Makeda M. Mayes , Andrew N. Meltzoff , Katie A. McLaughlin , Maya L. Rosen","doi":"10.1016/j.neuroimage.2025.121672","DOIUrl":"10.1016/j.neuroimage.2025.121672","url":null,"abstract":"<div><div>The COVID-19 pandemic presented numerous novel stressors to youth which have been associated with worsening mental health. Previous work has shown that individuals with high reward sensitivity show resilience in the face of individualized stressors. Here, we sought to investigate whether individuals with high reward sensitivity prior to pandemic onset would be resilient to the community-level stressor of the pandemic. Sensitivity to reward was defined here as neural activation in the ventromedial prefrontal cortex (vmPFC) and striatum for wins as compared to losses in a reward-based task measured prior to the pandemic. We used data from the Human Connectome Project in Development collected before the pandemic onset, and follow-up data which was collected from the same participants during the pandemic. Activity in the left vmPFC moderated the association between pandemic-related stressors and change in internalizing psychopathology. Although those with low reward sensitivity showed a positive association between exposure to stressors and increase in psychopathology during the pandemic relative to baseline, those with high sensitivity to reward did not show increased symptoms with increased stressors. We found no effect of activity in the striatum or right vmPFC on the association between stressors and change in psychopathology. Additionally, we did not find a moderating effect of neural reward reactivity and change in externalizing psychopathology. These findings add to a growing literature highlighting reward sensitivity, measured prior to stressor onset, as a source of stress resilience.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121672"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145810733","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121681
Christian Sprenger , Iris-Carola Eichler , Christian Büchel , Christian Zöllner
The assessment of the heat pain threshold (HPT) as part of quantitative sensory testing (QST) protocols is a widely applied method which is used both in experimental settings and for the characterization of clinical populations. The neuronal responses that occur during clinically utilized HPT assessments, however, have been scarcely investigated directly. To address this gap, we investigated the peristimulus BOLD time courses in response to ascending thermal ramps employing the "Method of Limits" (MoL) approach of HPT testing in 30 healthy male participants. This showed that several brain regions, such as rostro-dorsal parts of the anterior insula (aINS), exhibit stimulus-response (SR) behavior that approximates a linear pattern corresponding to stimulus intensity. In contrast, other regions, including the anterior midcingulate cortex (aMCC), the primary somatosensory cortex (SI), and ventral sections of the aINS, show a sudden signal increase upon exceeding the HPT. The Neurological Pain Signature (NPS), a well-known biomarker for nociceptive pain, demonstrated good prediction of the HPT at the group level and moderate accuracy at the individual level. Notably, NPS subregions overlapped spatially with brain areas predominantly exhibiting linear SR behavior, indicating that the NPS response may be partly driven by stimulus intensity. Employing a Hidden Markov Model (HMM) to also capture distributional properties of the BOLD responses, along with appropriate transition probabilities, enabled a reliable prediction of the individual Method of Limits-derived HPT and provides probabilistic insights into how the brain responds during the transition from heat to pain.
{"title":"Neural dynamics during heat pain threshold assessment using the method of limits","authors":"Christian Sprenger , Iris-Carola Eichler , Christian Büchel , Christian Zöllner","doi":"10.1016/j.neuroimage.2025.121681","DOIUrl":"10.1016/j.neuroimage.2025.121681","url":null,"abstract":"<div><div>The assessment of the heat pain threshold (HPT) as part of quantitative sensory testing (QST) protocols is a widely applied method which is used both in experimental settings and for the characterization of clinical populations. The neuronal responses that occur during clinically utilized HPT assessments, however, have been scarcely investigated directly. To address this gap, we investigated the peristimulus BOLD time courses in response to ascending thermal ramps employing the \"Method of Limits\" (MoL) approach of HPT testing in 30 healthy male participants. This showed that several brain regions, such as rostro-dorsal parts of the anterior insula (aINS), exhibit stimulus-response (SR) behavior that approximates a linear pattern corresponding to stimulus intensity. In contrast, other regions, including the anterior midcingulate cortex (aMCC), the primary somatosensory cortex (SI), and ventral sections of the aINS, show a sudden signal increase upon exceeding the HPT. The Neurological Pain Signature (NPS), a well-known biomarker for nociceptive pain, demonstrated good prediction of the HPT at the group level and moderate accuracy at the individual level. Notably, NPS subregions overlapped spatially with brain areas predominantly exhibiting linear SR behavior, indicating that the NPS response may be partly driven by stimulus intensity. Employing a Hidden Markov Model (HMM) to also capture distributional properties of the BOLD responses, along with appropriate transition probabilities, enabled a reliable prediction of the individual Method of Limits-derived HPT and provides probabilistic insights into how the brain responds during the transition from heat to pain.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121681"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145843866","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121680
Yuanyuan Yang , Jinhui Li , Yidan Qiu , Xiaoqian Jiang , Xiaoyan Wu , Ruiwang Huang
Cognitive maps support flexible inference by organizing relational structures across experiences. This enables humans and animals to integrate knowledge and infer indirect relationships, a process known as transitive inference (TI). While the hippocampus (HPC) and orbitofrontal cortex (OFC) are both important for cognitive mapping, their specific roles in TI remain unclear. Here, we obtained behavioral and fMRI data from 25 healthy adults to study how they learned face rankings along two social dimensions (competence and popularity) and how they inferred novel relationships between untrained face pairs. Compared with control condition, we found that during TI, the bilateral HPC, left middle frontal gyrus (MFG), insula, and superior temporal gyrus (STG) showed significantly greater activation and stronger functional connectivity (FC) within the TI network. The HPC can significantly distinguish the dimension-related from dimension-unrelated hub faces. In addition, we found that the HPC had stronger FC with the regions of the default mode network, dorsal attention network, and mid-cingulate cortex when processing dimension-related hubs compared to dimension-unrelated hubs. These findings revealed the key role of the HPC in encoding abstract relational structure and how it collaborates with large-scale brain networks to support cognitive map-guided transitive inference.
{"title":"The roles of human hippocampus and orbitofrontal cortex in cognitive map-guided social transitive inference","authors":"Yuanyuan Yang , Jinhui Li , Yidan Qiu , Xiaoqian Jiang , Xiaoyan Wu , Ruiwang Huang","doi":"10.1016/j.neuroimage.2025.121680","DOIUrl":"10.1016/j.neuroimage.2025.121680","url":null,"abstract":"<div><div>Cognitive maps support flexible inference by organizing relational structures across experiences. This enables humans and animals to integrate knowledge and infer indirect relationships, a process known as transitive inference (TI). While the hippocampus (HPC) and orbitofrontal cortex (OFC) are both important for cognitive mapping, their specific roles in TI remain unclear. Here, we obtained behavioral and fMRI data from 25 healthy adults to study how they learned face rankings along two social dimensions (competence and popularity) and how they inferred novel relationships between untrained face pairs. Compared with control condition, we found that during TI, the bilateral HPC, left middle frontal gyrus (MFG), insula, and superior temporal gyrus (STG) showed significantly greater activation and stronger functional connectivity (FC) within the TI network. The HPC can significantly distinguish the dimension-related from dimension-unrelated hub faces. In addition, we found that the HPC had stronger FC with the regions of the default mode network, dorsal attention network, and mid-cingulate cortex when processing dimension-related hubs compared to dimension-unrelated hubs. These findings revealed the key role of the HPC in encoding abstract relational structure and how it collaborates with large-scale brain networks to support cognitive map-guided transitive inference.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121680"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145843886","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}
Pub Date : 2026-01-01DOI: 10.1016/j.neuroimage.2025.121664
Yun A. Huang , Rebecca V Robertson , Noemi Meylakh , Lewis S Crawford , James WM Kang , Paul M Macey , Vaughan G Macefield , Paul J Austin , Kevin A Keay , Luke A Henderson
The hypothalamus is a key homeostatic regulatory region which contains nuclei and subregions known to mediate a range of body functions. Numerous studies have revealed that the hypothalamus is critical in coordinating sexual dimorphism in neuroendocrine and behavioural phenotypes and displays sex-related structural differences. The hypothalamus is critical for the body’s stress response and cortisol release, and females are twice as likely as males to develop many diseases related to hypothalamic-pituitary-adrenal axis dysfunction. Given this, it is important to understand the role sex plays in hypothalamic structure and function. In this study, we used ultra-high field functional magnetic resonance imaging to determine sex-related differences in regional hypothalamic resting state connectivity in 217 control participants: 123 females, 94 males. We found robust sex-related difference in the anatomy and function of the left supraoptic and anterior hypothalamic regions. Both hypothalamic regions displayed greater regional volumes in males compared with females. In addition, both regions displayed negative connectivity strengths in females and positive connectivity strengths in males with numerous brain regions, most significantly with association cortical areas such as the dorsolateral and medial prefrontal and cingulate cortices. These results reveal that discrete regions of the hypothalamus display sex-related differences in structure and function, as assessed by resting functional connectivity differences with various brain regions. These differences are critical for our understanding of the role of the hypothalamus in fundamental physiological processes and may underpin sex-specific vulnerabilities to neurological and psychiatric disorders.
{"title":"Sex differences in regional hypothalamic volume and resting-state connectivity patterns: An ultra-high field functional magnetic resonance imaging investigation","authors":"Yun A. Huang , Rebecca V Robertson , Noemi Meylakh , Lewis S Crawford , James WM Kang , Paul M Macey , Vaughan G Macefield , Paul J Austin , Kevin A Keay , Luke A Henderson","doi":"10.1016/j.neuroimage.2025.121664","DOIUrl":"10.1016/j.neuroimage.2025.121664","url":null,"abstract":"<div><div>The hypothalamus is a key homeostatic regulatory region which contains nuclei and subregions known to mediate a range of body functions. Numerous studies have revealed that the hypothalamus is critical in coordinating sexual dimorphism in neuroendocrine and behavioural phenotypes and displays sex-related structural differences. The hypothalamus is critical for the body’s stress response and cortisol release, and females are twice as likely as males to develop many diseases related to hypothalamic-pituitary-adrenal axis dysfunction. Given this, it is important to understand the role sex plays in hypothalamic structure and function. In this study, we used ultra-high field functional magnetic resonance imaging to determine sex-related differences in regional hypothalamic resting state connectivity in 217 control participants: 123 females, 94 males. We found robust sex-related difference in the anatomy and function of the left supraoptic and anterior hypothalamic regions. Both hypothalamic regions displayed greater regional volumes in males compared with females. In addition, both regions displayed negative connectivity strengths in females and positive connectivity strengths in males with numerous brain regions, most significantly with association cortical areas such as the dorsolateral and medial prefrontal and cingulate cortices. These results reveal that discrete regions of the hypothalamus display sex-related differences in structure and function, as assessed by resting functional connectivity differences with various brain regions. These differences are critical for our understanding of the role of the hypothalamus in fundamental physiological processes and may underpin sex-specific vulnerabilities to neurological and psychiatric disorders.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"325 ","pages":"Article 121664"},"PeriodicalIF":4.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145794438","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}