Pub Date : 2024-11-19DOI: 10.1016/j.ynirp.2024.100228
Katherine Boere , Francesca Anderson , Kent G. Hecker , Olav E. Krigolson
Cognitive load, or the mental effort required to process and retain information, is a critical factor in high-stakes environments where task demands often exceed working memory capacity, leading to performance declines and errors. However, most cognitive load research has relied on controlled, single-task paradigms, limiting its applicability to real-world multitasking situations. Addressing this gap, we used a mobile, two-channel functional near-infrared spectroscopy (fNIRS) device to measure cognitive load in a complex multitasking environment, simulating real-world cognitive demands. Thirty-one undergraduate participants engaged in single-task and multitask conditions to simulate real-world cognitive demands. Results showed that subjective cognitive load ratings were higher, performance scores were lower, and error rates increased in the multitask condition compared to the single-task condition. However, contrary to expectations, prefrontal cortex activation did not increase in the multitask condition, suggesting a "cognitive disengagement" effect, where the brain limits engagement to manage overload. This finding challenges the traditional one-to-one association between cognitive load and prefrontal activation, as seen in simpler validation studies. Our study highlights the value of mobile fNIRS for assessing cognitive load in ecologically valid settings and provides insights that could inform strategies for optimizing performance in high-stakes environments like aviation and healthcare.
{"title":"Measuring cognitive load in multitasking using mobile fNIRS","authors":"Katherine Boere , Francesca Anderson , Kent G. Hecker , Olav E. Krigolson","doi":"10.1016/j.ynirp.2024.100228","DOIUrl":"10.1016/j.ynirp.2024.100228","url":null,"abstract":"<div><div>Cognitive load, or the mental effort required to process and retain information, is a critical factor in high-stakes environments where task demands often exceed working memory capacity, leading to performance declines and errors. However, most cognitive load research has relied on controlled, single-task paradigms, limiting its applicability to real-world multitasking situations. Addressing this gap, we used a mobile, two-channel functional near-infrared spectroscopy (fNIRS) device to measure cognitive load in a complex multitasking environment, simulating real-world cognitive demands. Thirty-one undergraduate participants engaged in single-task and multitask conditions to simulate real-world cognitive demands. Results showed that subjective cognitive load ratings were higher, performance scores were lower, and error rates increased in the multitask condition compared to the single-task condition. However, contrary to expectations, prefrontal cortex activation did not increase in the multitask condition, suggesting a \"cognitive disengagement\" effect, where the brain limits engagement to manage overload. This finding challenges the traditional one-to-one association between cognitive load and prefrontal activation, as seen in simpler validation studies. Our study highlights the value of mobile fNIRS for assessing cognitive load in ecologically valid settings and provides insights that could inform strategies for optimizing performance in high-stakes environments like aviation and healthcare.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100228"},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705859","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}
Pub Date : 2024-11-18DOI: 10.1016/j.ynirp.2024.100227
Kellen K. Petersen , Bhargav T. Nallapu , Richard B. Lipton , Ellen Grober , Ali Ezzati
Introduction
Alzheimer's disease (AD) is a phenotypically and pathologically heterogenous neurodegenerative disorder. This heterogeneity can be studied and disentangled using data-driven clustering techniques.
Methods
We implemented a self-organizing map clustering algorithm on baseline volumetric MRI measures from nine brain regions of interest (ROIs) to cluster 1041 individuals enrolled in the placebo arm of the EXPEDITION3 trial. Volumetric MRI differences were compared among clusters. Demographics as well as baseline and longitudinal cognitive performance metrics were used to evaluate cluster characteristics.
Results
Three distinct clusters, with an overall silhouette coefficient of 0.491, were identified based on MRI volumetrics. Cluster 1 (N = 400) had the largest baseline volumetric measures across all ROIs and the best cognitive performance at baseline. Cluster 2 (N = 269) had larger hippocampal and medial temporal lobe volumes, but smaller parietal lobe volumes in comparison with the third cluster (N = 372). Significant between-group mean differences were observed between Clusters 1 and 2 (difference, 2.38; 95% CI, 1.85 to 2.91; P < 0.001), Clusters 1 and 3 (difference, 1.93; 95% CI, 1.41 to 2.44; P < 0.001), but not between Clusters 2 and 3 (difference, 0.45; 95% CI, −0.11 to 1.02; P = 0.146) in ADAS-14.
Conclusions
Volumetric MRI can be used to identify homogenous clusters of amyloid positive individuals with mild dementia. The groups identified differ in baseline and longitudinal characteristics. Cluster 1 shows little ADAS-14 change over the first 40 weeks of study on placebo treatment and may be unsuitable for identifying early benefits of treatment.
{"title":"MRI-guided clustering of patients with mild dementia due to Alzheimer's disease using self-organizing maps","authors":"Kellen K. Petersen , Bhargav T. Nallapu , Richard B. Lipton , Ellen Grober , Ali Ezzati","doi":"10.1016/j.ynirp.2024.100227","DOIUrl":"10.1016/j.ynirp.2024.100227","url":null,"abstract":"<div><h3>Introduction</h3><div>Alzheimer's disease (AD) is a phenotypically and pathologically heterogenous neurodegenerative disorder. This heterogeneity can be studied and disentangled using data-driven clustering techniques.</div></div><div><h3>Methods</h3><div>We implemented a self-organizing map clustering algorithm on baseline volumetric MRI measures from nine brain regions of interest (ROIs) to cluster 1041 individuals enrolled in the placebo arm of the EXPEDITION3 trial. Volumetric MRI differences were compared among clusters. Demographics as well as baseline and longitudinal cognitive performance metrics were used to evaluate cluster characteristics.</div></div><div><h3>Results</h3><div>Three distinct clusters, with an overall silhouette coefficient of 0.491, were identified based on MRI volumetrics. Cluster 1 (N = 400) had the largest baseline volumetric measures across all ROIs and the best cognitive performance at baseline. Cluster 2 (N = 269) had larger hippocampal and medial temporal lobe volumes, but smaller parietal lobe volumes in comparison with the third cluster (N = 372). Significant between-group mean differences were observed between Clusters 1 and 2 (difference, 2.38; 95% CI, 1.85 to 2.91; P < 0.001), Clusters 1 and 3 (difference, 1.93; 95% CI, 1.41 to 2.44; P < 0.001), but not between Clusters 2 and 3 (difference, 0.45; 95% CI, −0.11 to 1.02; P = 0.146) in ADAS-14.</div></div><div><h3>Conclusions</h3><div>Volumetric MRI can be used to identify homogenous clusters of amyloid positive individuals with mild dementia. The groups identified differ in baseline and longitudinal characteristics. Cluster 1 shows little ADAS-14 change over the first 40 weeks of study on placebo treatment and may be unsuitable for identifying early benefits of treatment.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100227"},"PeriodicalIF":0.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705860","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}
Pub Date : 2024-10-19DOI: 10.1016/j.ynirp.2024.100225
Angela Pisoni , Jeffrey Browndyke , Simon W. Davis , Moria Smoski
Anhedonia is a transdiagnostic clinical syndrome associated with significant clinical impairment. In spite of this, a clear network-level characterization of anhedonia does not yet exist. The present study addressed this gap in the literature by taking a graph theoretical approach to characterizing state-based (i.e., reward anticipation, rest) network dynamics in a transdiagnostic sample of adults with clinically significant anhedonia (n = 77). Analyses focused on three canonical brain networks: the Salience Network (SN), the Default Mode Network (DMN) and the Central Executive Network (CEN), with hypotheses focusing on the role of saliency-mapping in anhedonia. Contrary to hypotheses, no significant relation was found between the SN and anhedonia symptom severity. Exploratory results revealed a significant association between anhedonia severity and DMN reorganization from rest to reward anticipation. Specifically, greater anhedonia severity was associated with less reward-related reorganization. This finding suggests that anhedonia severity may be associated with DMN hyposensitivity, such that individuals with more severe anhedonia may have a difficult time disengaging from their internal world in the context of potentially rewarding experiences. Although preliminary, this finding challenges the centrality of the SN in anhedonia severity and suggests the importance of the DMN. Clinical implications and future directions are explored.
{"title":"Evaluating state-based network dynamics in anhedonia","authors":"Angela Pisoni , Jeffrey Browndyke , Simon W. Davis , Moria Smoski","doi":"10.1016/j.ynirp.2024.100225","DOIUrl":"10.1016/j.ynirp.2024.100225","url":null,"abstract":"<div><div>Anhedonia is a transdiagnostic clinical syndrome associated with significant clinical impairment. In spite of this, a clear network-level characterization of anhedonia does not yet exist. The present study addressed this gap in the literature by taking a graph theoretical approach to characterizing state-based (i.e., reward anticipation, rest) network dynamics in a transdiagnostic sample of adults with clinically significant anhedonia (<em>n</em> = 77). Analyses focused on three canonical brain networks: the Salience Network (SN), the Default Mode Network (DMN) and the Central Executive Network (CEN), with hypotheses focusing on the role of saliency-mapping in anhedonia. Contrary to hypotheses, no significant relation was found between the SN and anhedonia symptom severity. Exploratory results revealed a significant association between anhedonia severity and DMN reorganization from rest to reward anticipation. Specifically, greater anhedonia severity was associated with less reward-related reorganization. This finding suggests that anhedonia severity may be associated with DMN hyposensitivity, such that individuals with more severe anhedonia may have a difficult time disengaging from their internal world in the context of potentially rewarding experiences. Although preliminary, this finding challenges the centrality of the SN in anhedonia severity and suggests the importance of the DMN. Clinical implications and future directions are explored.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100225"},"PeriodicalIF":0.0,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535329","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}
Pub Date : 2024-10-05DOI: 10.1016/j.ynirp.2024.100224
Juliana Zimmermann , Rachel Nuttall , Daniel Golkowski , Gerhard Schneider , Andreas Ranft , Rüdiger Ilg , Afra Wohlschlaeger , Christian Sorg , Marlene Tahedl
Studies suggest the cholinergic system is involved in anesthesia-induced unconsciousness, hence unresponsiveness. A significant source of cholinergic innervation comes from basal forebrain cholinergic nuclei (BFCN), with bi-directional connections between anterior BFCN and the default mode network (DMN). Since DMN functional connectivity (FC) is consistently reduced during anesthesia-induced unresponsiveness in humans, we hypothesized that BFCN-FC during anesthesia-induced unresponsiveness is reduced and particularly, anterior BFCN-FC reductions might be related to DMN-FC reductions. Resting-state fMRI (rs-fMRI) signal correlations (i.e., a proxy for FC) were calculated. FC seeds were anterior and posterior BFCN and the DMN. Rs-fMRI data come from healthy male controls during wakefulness and anesthesia with sevoflurane (n = 15) (at fixed concentrations: 2 and 3 vol%) and propofol titrated to the endpoint of clinical unresponsiveness (n = 12), respectively. FC state differences were tested via paired t-tests; FC changes for anterior BFCN and DMN were associated via correlation analysis. We found reduced anterior and posterior BFCN-FC with sevoflurane and propofol compared to wakefulness. The correlation between reduced DMN-FC-and anterior BFCN-FC reductions was r = 0.57 (p = 0.01) for sevoflurane 3 vol%, r = 0.34 (p = 0.11) for sevoflurane 2 vol% and r = 0.47 (p = 0.06) for propofol. In summary, in this exploratory pilot study, we demonstrated reduced BFCN-FC and a potential correlation between reduced anterior BFCN-FC and DMN-FC during sevoflurane and propofol anesthesia. This suggests DMN changes as a potential factor of anterior BFCN-FC reductions during anesthesia-induced unresponsiveness and BFCN-FC reduction as a potential sign of such state.
研究表明，胆碱能系统参与了麻醉引起的昏迷，从而导致反应迟钝。胆碱能神经支配的一个重要来源是前脑基底胆碱能核（BFCN），前脑基底胆碱能核与默认模式网络（DMN）之间存在双向联系。由于人类在麻醉诱导的反应迟钝期间DMN功能连通性（FC）会持续降低，我们假设在麻醉诱导的反应迟钝期间BFCN-FC会降低，尤其是前部BFCN-FC的降低可能与DMN-FC的降低有关。我们计算了静息态 fMRI（rs-fMRI）信号相关性（即 FC 的替代物）。FC种子为前后BFCN和DMN。Rs-fMRI数据来自清醒时的健康男性对照组，以及分别使用七氟醚（n = 15）（固定浓度：2和3 vol%）和丙泊酚滴定至临床无反应终点（n = 12）进行麻醉时的健康男性对照组。FC 状态差异通过配对 t 检验进行检验；前部 BFCN 和 DMN 的 FC 变化通过相关性分析进行关联。我们发现，与清醒状态相比，七氟醚和异丙酚会降低前部和后部BFCN-FC。DMN-FC 减少与前部 BFCN-FC 减少之间的相关性为：七氟烷 3 vol% 时 r = 0.57（p = 0.01），七氟烷 2 vol% 时 r = 0.34（p = 0.11），异丙酚时 r = 0.47（p = 0.06）。总之，在这项探索性试验研究中，我们证明了在七氟醚和丙泊酚麻醉过程中，BFCN-FC 的减少以及前部 BFCN-FC 减少与 DMN-FC 之间的潜在相关性。这表明 DMN 变化是麻醉诱导反应迟钝时前部 BFCN-FC 减少的潜在因素，而 BFCN-FC 减少则是这种状态的潜在标志。
{"title":"Unresponsiveness induced by sevoflurane and propofol is associated with reduced basal forebrain cholinergic nuclei functional connectivity in humans, a pilot exploratory study","authors":"Juliana Zimmermann , Rachel Nuttall , Daniel Golkowski , Gerhard Schneider , Andreas Ranft , Rüdiger Ilg , Afra Wohlschlaeger , Christian Sorg , Marlene Tahedl","doi":"10.1016/j.ynirp.2024.100224","DOIUrl":"10.1016/j.ynirp.2024.100224","url":null,"abstract":"<div><div>Studies suggest the cholinergic system is involved in anesthesia-induced unconsciousness, hence unresponsiveness. A significant source of cholinergic innervation comes from basal forebrain cholinergic nuclei (BFCN), with bi-directional connections between anterior BFCN and the default mode network (DMN). Since DMN functional connectivity (FC) is consistently reduced during anesthesia-induced unresponsiveness in humans, we hypothesized that BFCN-FC during anesthesia-induced unresponsiveness is reduced and particularly, anterior BFCN-FC reductions might be related to DMN-FC reductions. Resting-state fMRI (rs-fMRI) signal correlations (i.e., a proxy for FC) were calculated. FC seeds were anterior and posterior BFCN and the DMN. Rs-fMRI data come from healthy male controls during wakefulness and anesthesia with sevoflurane (n = 15) (at fixed concentrations: 2 and 3 vol%) and propofol titrated to the endpoint of clinical unresponsiveness (n = 12), respectively. FC state differences were tested via paired t-tests; FC changes for anterior BFCN and DMN were associated via correlation analysis. We found reduced anterior and posterior BFCN-FC with sevoflurane and propofol compared to wakefulness. The correlation between reduced DMN-FC-and anterior BFCN-FC reductions was r = 0.57 (p = 0.01) for sevoflurane 3 vol%, r = 0.34 (p = 0.11) for sevoflurane 2 vol% and r = 0.47 (p = 0.06) for propofol. In summary, in this exploratory pilot study, we demonstrated reduced BFCN-FC and a potential correlation between reduced anterior BFCN-FC and DMN-FC during sevoflurane and propofol anesthesia. This suggests DMN changes as a potential factor of anterior BFCN-FC reductions during anesthesia-induced unresponsiveness and BFCN-FC reduction as a potential sign of such state.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100224"},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421849","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}
Pub Date : 2024-10-02DOI: 10.1016/j.ynirp.2024.100223
Elisabeth Jehli , Fabienne Burri , Niklaus Denier , Franz Moggi , Andrea Federspiel , Roland Wiest , Maria Stein , Tobias Bracht , Matthias Grieder , Leila M. Soravia
Childhood trauma (CT) often co-occurs with alcohol use disorder (AUD) and is associated with poor treatment outcome. We could demonstrated that patients with AUD and a history of childhood trauma showed reduced structural connectivity of the amygdala. Here, we additionally aimed to investigate fronto-limbic functional connectivity (FC) in patients with AUD with (AUD-CT) and without (AUD-noCT) CT. Based on findings in CT, we hypothesized reduced FC of the amygdala with the prefrontal cortex in AUD-CT and worse treatment outcome compared to AUD-noCT.
Resting state fMRI scans were acquired in abstinent inpatients with AUD and healthy controls (HCs). We compared bilateral amygdala FC between AUD-CT (n = 21), AUD-noCT (n = 22), and HC (n = 27) using seed-based connectivity (SBC) and region-of-interest to region-of-interest (ROI-ROI) analysis. Sociodemographic and alcohol-specific variables (percent days abstinent, PDA) were assessed at treatment admission and three-month follow-up. The Childhood Trauma Questionnaire (CTQ) assessed trauma severity. SBC analysis revealed that AUD-CT showed increased FC of the left and right amygdala with the medial prefrontal cortex and left paracingulate gyrus compared to HC. AUD-CT showed increased ROI-ROI FC of the left with the right amygdala and the right amygdala with the medial prefrontal cortex. Moreover, AUD-CT exhibited a greater reduction of PDA at three-month follow-up compared to AUD-noCT.
Increased FC of the amygdala, the medial prefrontal cortex, and paracingulate gyrus in AUD-CT might be a compensatory adaption to the reduced structural connectivity of the amygdala. Those specific alterations of FC in AUD-CT may represent a distinguishable neurobiological subtype of AUD, possibly underlying the complex clinical picture and worse treatment outcome.
{"title":"Increased functional connectivity of amygdalar-frontal pathways in patients with alcohol use disorder and childhood trauma","authors":"Elisabeth Jehli , Fabienne Burri , Niklaus Denier , Franz Moggi , Andrea Federspiel , Roland Wiest , Maria Stein , Tobias Bracht , Matthias Grieder , Leila M. Soravia","doi":"10.1016/j.ynirp.2024.100223","DOIUrl":"10.1016/j.ynirp.2024.100223","url":null,"abstract":"<div><div>Childhood trauma (CT) often co-occurs with alcohol use disorder (AUD) and is associated with poor treatment outcome. We could demonstrated that patients with AUD and a history of childhood trauma showed reduced structural connectivity of the amygdala. Here, we additionally aimed to investigate fronto-limbic functional connectivity (FC) in patients with AUD with (AUD-CT) and without (AUD-noCT) CT. Based on findings in CT, we hypothesized reduced FC of the amygdala with the prefrontal cortex in AUD-CT and worse treatment outcome compared to AUD-noCT.</div><div>Resting state fMRI scans were acquired in abstinent inpatients with AUD and healthy controls (HCs). We compared bilateral amygdala FC between AUD-CT (n = 21), AUD-noCT (n = 22), and HC (n = 27) using seed-based connectivity (SBC) and region-of-interest to region-of-interest (ROI-ROI) analysis. Sociodemographic and alcohol-specific variables (percent days abstinent, PDA) were assessed at treatment admission and three-month follow-up. The Childhood Trauma Questionnaire (CTQ) assessed trauma severity. SBC analysis revealed that AUD-CT showed increased FC of the left and right amygdala with the medial prefrontal cortex and left paracingulate gyrus compared to HC. AUD-CT showed increased ROI-ROI FC of the left with the right amygdala and the right amygdala with the medial prefrontal cortex. Moreover, AUD-CT exhibited a greater reduction of PDA at three-month follow-up compared to AUD-noCT.</div><div>Increased FC of the amygdala, the medial prefrontal cortex, and paracingulate gyrus in AUD-CT might be a compensatory adaption to the reduced structural connectivity of the amygdala. Those specific alterations of FC in AUD-CT may represent a distinguishable neurobiological subtype of AUD, possibly underlying the complex clinical picture and worse treatment outcome.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100223"},"PeriodicalIF":0.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421848","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}
Pub Date : 2024-09-25DOI: 10.1016/j.ynirp.2024.100219
Alice Mado Proverbio , Elham Sanoubari
This study aimed to examine differences in the brain activity of professional musicians and non-musicians, particularly in relation to neuroplastic changes that may be associated with musical training. Specifically, we investigated whether the ability to read complex musical notation might be linked to neurofunctional adaptations that could influence word reading mechanisms. The study involved 80 participants (half of which were musicians). High-density EEG recordings and swLORETA inverse solutions were employed to analyze brain activity related to word processing and orthographic analysis. The electromagnetic signals were analyzed in the temporal window corresponding to the latency of N170 component (150–190 ms). Musicians and musically naïve people (controls) were matched based on native language, sociocultural and educational status, age, and laterality preference. Behavioural data and reading proficiency tests demonstrated higher reading skills (for words, non-words and text), and faster RTs to target letters embedded in words, in musicians. Source reconstruction showed fundamental differences in word reading mechanisms between musicians and non-musicians, including a larger involvement of the right occipitotemporal cortex, in the former than the latter. In particular, musicians showed a bilateral activation of the middle occipital gyrus (BA19, Visual Word Form Area), which was strongly lateralized to the left hemisphere in controls, during word orthographic analysis. A relationship is proposed between music literacy, enhanced reading skills and the development of a right-sided reading area for notation recognition in musicians, which could serve as a potential protective factor for ‘surface’ dyslexia.
{"title":"Music literacy shapes the specialization of a right hemispheric word reading area","authors":"Alice Mado Proverbio , Elham Sanoubari","doi":"10.1016/j.ynirp.2024.100219","DOIUrl":"10.1016/j.ynirp.2024.100219","url":null,"abstract":"<div><div>This study aimed to examine differences in the brain activity of professional musicians and non-musicians, particularly in relation to neuroplastic changes that may be associated with musical training. Specifically, we investigated whether the ability to read complex musical notation might be linked to neurofunctional adaptations that could influence word reading mechanisms. The study involved 80 participants (half of which were musicians). High-density EEG recordings and swLORETA inverse solutions were employed to analyze brain activity related to word processing and orthographic analysis. The electromagnetic signals were analyzed in the temporal window corresponding to the latency of N170 component (150–190 ms). Musicians and musically naïve people (controls) were matched based on native language, sociocultural and educational status, age, and laterality preference. Behavioural data and reading proficiency tests demonstrated higher reading skills (for words, non-words and text), and faster RTs to target letters embedded in words, in musicians. Source reconstruction showed fundamental differences in word reading mechanisms between musicians and non-musicians, including a larger involvement of the right occipitotemporal cortex, in the former than the latter. In particular, musicians showed a bilateral activation of the middle occipital gyrus (BA19, <em>Visual Word Form Area</em>), which was strongly lateralized to the left hemisphere in controls, during word orthographic analysis. A relationship is proposed between music literacy, enhanced reading skills and the development of a right-sided reading area for notation recognition in musicians, which could serve as a potential protective factor for ‘surface’ dyslexia.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100219"},"PeriodicalIF":0.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319596","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}
Pub Date : 2024-09-23DOI: 10.1016/j.ynirp.2024.100218
Roberta Poceviciute, Kenneth Mitchell, Angeliki Maria Nikolakopoulou, Suehyun K. Cho, Xiaobo Ma, Phillip Chen, Samantha Figueroa, Ethan J. Sarmiento, Aryan Singh, Oren Hartstein, William G. Loudon, Florent Cros, Alexander S. Kiselyov
Viral vectors are an active area of research and development to treat diseases of the central nervous system (CNS). However, systemic delivery of large-molecular weight biologics is complicated by limited crossing of the blood-brain barrier, immunological clearance from the circulation, off-target effects, and systemic or organ toxicity. Local drug delivery can mitigate these obstacles, however, the drug must still be distributed over sufficiently large tissue volume to achieve the desired efficacy. In the field of drug delivery, quantitative, high resolution spatial analysis of drug distribution in the brain and other organs poses a challenge. To address this issue, we introduce a computational pipeline to reconstruct and quantify 3D distribution of locally delivered viral vectors from 2D microscopy images of subsampled brain sections. This pipeline, which combined existing and newly developed machine-learning and other computational tools, effectively removed false positive artifacts abundant in large-scale images of uncleared tissue sections, and subsampling adequately predicted the dispersion of model viral vectors from the point of local drug delivery. Furthermore, the pipeline successfully captured differences in the distribution of adeno virus (AdV) and adeno-associated virus (AAV) vectors exhibiting varying sizes and transport properties. Notably, the proposed method is directly applicable to the distribution studies of therapeutics in large animal models. Thus, our developed pipeline is an accessible tool that can aid the research and development of local drug delivery strategies for the treatment of CNS diseases with viral vectors and potentially other therapeutics.
{"title":"Quantitative 3D reconstruction of viral vector distribution in rodent and ovine brain following local delivery","authors":"Roberta Poceviciute, Kenneth Mitchell, Angeliki Maria Nikolakopoulou, Suehyun K. Cho, Xiaobo Ma, Phillip Chen, Samantha Figueroa, Ethan J. Sarmiento, Aryan Singh, Oren Hartstein, William G. Loudon, Florent Cros, Alexander S. Kiselyov","doi":"10.1016/j.ynirp.2024.100218","DOIUrl":"10.1016/j.ynirp.2024.100218","url":null,"abstract":"<div><div>Viral vectors are an active area of research and development to treat diseases of the central nervous system (CNS). However, systemic delivery of large-molecular weight biologics is complicated by limited crossing of the blood-brain barrier, immunological clearance from the circulation, off-target effects, and systemic or organ toxicity. Local drug delivery can mitigate these obstacles, however, the drug must still be distributed over sufficiently large tissue volume to achieve the desired efficacy. In the field of drug delivery, quantitative, high resolution spatial analysis of drug distribution in the brain and other organs poses a challenge. To address this issue, we introduce a computational pipeline to reconstruct and quantify 3D distribution of locally delivered viral vectors from 2D microscopy images of subsampled brain sections. This pipeline, which combined existing and newly developed machine-learning and other computational tools, effectively removed false positive artifacts abundant in large-scale images of uncleared tissue sections, and subsampling adequately predicted the dispersion of model viral vectors from the point of local drug delivery. Furthermore, the pipeline successfully captured differences in the distribution of adeno virus (AdV) and adeno-associated virus (AAV) vectors exhibiting varying sizes and transport properties. Notably, the proposed method is directly applicable to the distribution studies of therapeutics in large animal models. Thus, our developed pipeline is an accessible tool that can aid the research and development of local drug delivery strategies for the treatment of CNS diseases with viral vectors and potentially other therapeutics.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100218"},"PeriodicalIF":0.0,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666956024000242/pdfft?md5=649e0ec0565896c07b30e30068195caa&pid=1-s2.0-S2666956024000242-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312842","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}
Pub Date : 2024-09-21DOI: 10.1016/j.ynirp.2024.100222
David J. Madden , Jenna L. Merenstein , Todd B. Harshbarger , Linda C. Cendales
As a surgical treatment following amputation or loss of an upper limb, nearly 200 hand transplantations have been completed to date. We report here a magnetic resonance imaging (MRI) investigation of functional and structural brain connectivity for a bilateral hand transplant patient (female, 60 years of age), with a preoperative baseline and three postoperative testing sessions each separated by approximately six months. We used graph theoretical analyses to estimate connectivity within and between modules (networks of anatomical nodes), particularly a sensorimotor network (SMN), from resting-state functional MRI and structural diffusion-weighted imaging (DWI). For comparison, corresponding MRI measures of connectivity were obtained from 10 healthy, age-matched controls, at a single testing session. The patient's within-module functional connectivity (both SMN and non-SMN modules), and structural within-SMN connectivity, were higher preoperatively than that of the controls, indicating a response to amputation. Postoperatively, the patient's within-module functional connectivity decreased towards the control participants' values, across the 1.5 years postoperatively, particularly for hand-related nodes within the SMN module, suggesting a return to a more canonical functional organization. Whereas the patient's structural connectivity values remained relatively constant postoperatively, some evidence suggested that structural connectivity supported the postoperative changes in within-module functional connectivity.
{"title":"Changes in functional and structural brain connectivity following bilateral hand transplantation","authors":"David J. Madden , Jenna L. Merenstein , Todd B. Harshbarger , Linda C. Cendales","doi":"10.1016/j.ynirp.2024.100222","DOIUrl":"10.1016/j.ynirp.2024.100222","url":null,"abstract":"<div><p>As a surgical treatment following amputation or loss of an upper limb, nearly 200 hand transplantations have been completed to date. We report here a magnetic resonance imaging (MRI) investigation of functional and structural brain connectivity for a bilateral hand transplant patient (female, 60 years of age), with a preoperative baseline and three postoperative testing sessions each separated by approximately six months. We used graph theoretical analyses to estimate connectivity within and between modules (networks of anatomical nodes), particularly a sensorimotor network (SMN), from resting-state functional MRI and structural diffusion-weighted imaging (DWI). For comparison, corresponding MRI measures of connectivity were obtained from 10 healthy, age-matched controls, at a single testing session. The patient's within-module functional connectivity (both SMN and non-SMN modules), and structural within-SMN connectivity, were higher preoperatively than that of the controls, indicating a response to amputation. Postoperatively, the patient's within-module functional connectivity decreased towards the control participants' values, across the 1.5 years postoperatively, particularly for hand-related nodes within the SMN module, suggesting a return to a more canonical functional organization. Whereas the patient's structural connectivity values remained relatively constant postoperatively, some evidence suggested that structural connectivity supported the postoperative changes in within-module functional connectivity.</p></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 4","pages":"Article 100222"},"PeriodicalIF":0.0,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266695602400028X/pdfft?md5=3f218672fb852970f6ff0550aa502811&pid=1-s2.0-S266695602400028X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272798","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}
Pub Date : 2024-09-01DOI: 10.1016/j.ynirp.2024.100216
Thomas Williams , Nevin John , Alberto Calvi , Alessia Bianchi , Floriana De Angelis , Anisha Doshi , Sarah Wright , Madiha Shatila , Marios C. Yiannakas , Fatima Chowdhury , Jon Stutters , Antonio Ricciardi , Ferran Prados , David MacManus , Francesco Grussu , Anita Karsa , Becky Samson , Marco Battiston , Claudia A.M. Gandini Wheeler-Kingshott , Karin Shmueli , Judy Beveridge
<div><h3>Background</h3><p>Deep grey matter pathology is a key driver of disability worsening in people with multiple sclerosis. Quantitative susceptibility mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique which quantifies local magnetic susceptibility from variations in phase produced by changes in the local magnetic field. In the deep grey matter, susceptibility has previously been validated against tissue iron concentration. However, it currently remains unknown whether susceptibility is abnormal in older progressive MS cohorts, and whether it correlates with disability.</p></div><div><h3>Objectives</h3><p>To investigate differences in mean regional susceptibility in deep grey matter between people with secondary progressive multiple sclerosis (SPMS) and healthy controls; to examine in patients the relationships between deep grey matter susceptibility and clinical and imaging measures of disease severity.</p></div><div><h3>Methods</h3><p>Baseline data from a subgroup of the MS-STAT2 trial (simvastatin vs. placebo in SPMS, NCT03387670) were included. The subgroup underwent clinical assessments and an advanced MRI protocol at 3T. A cohort of age-matched healthy controls underwent the same MRI protocol. Susceptibility maps were reconstructed using a robust QSM pipeline from multi-echo 3D gradient-echo sequence. Regions of interest (ROIs) in the thalamus, globus pallidus and putamen were segmented from 3D T1-weighted images, and lesions segmented from 3D fluid-attenuated inversion recovery images. Linear regression was used to compare susceptibility from ROIs between patients and controls, adjusting for age and sex. Where significant differences were found, we further examined the associations between ROI susceptibility and clinical and imaging measures of MS severity.</p></div><div><h3>Results</h3><p>149 SPMS (77% female; mean age: 53 yrs; median Expanded Disability Status Scale (EDSS): 6.0 [interquartile range 4.5–6.0]) and 33 controls (52% female, mean age: 57) were included.</p><p>Thalamic susceptibility was significantly lower in SPMS compared to controls: mean (SD) 28.6 (12.8) parts per billion (ppb) in SPMS vs. 39.2 (12.7) ppb in controls; regression coefficient: −12.0 [95% confidence interval: −17.0 to −7.1], p < 0.001. In contrast, globus pallidus and putamen susceptibility were similar between both groups.</p><p>In SPMS, a 10 ppb lower thalamic susceptibility was associated with a +0.13 [+0.01 to +0.24] point higher EDSS (p < 0.05), a −2.4 [−3.8 to −1.0] point lower symbol digit modality test (SDMT, p = 0.001), and a −2.4 [−3.7 to −1.1] point lower Sloan low contrast acuity, 2.5% (p < 0.01).</p><p>Lower thalamic susceptibility was also strongly associated with a higher T2 lesion volume (T2LV, p < 0.001) and lower normalised whole brain, deep grey matter and thalamic volumes (all p < 0.001).</p></div><div><h3>Conclusions</h3><p>The reduced thalamic susceptibility found in SPMS compared to controls sug
{"title":"Investigating the relationship between thalamic iron concentration and disease severity in secondary progressive multiple sclerosis using quantitative susceptibility mapping: Cross-sectional analysis from the MS-STAT2 randomised controlled trial","authors":"Thomas Williams , Nevin John , Alberto Calvi , Alessia Bianchi , Floriana De Angelis , Anisha Doshi , Sarah Wright , Madiha Shatila , Marios C. Yiannakas , Fatima Chowdhury , Jon Stutters , Antonio Ricciardi , Ferran Prados , David MacManus , Francesco Grussu , Anita Karsa , Becky Samson , Marco Battiston , Claudia A.M. Gandini Wheeler-Kingshott , Karin Shmueli , Judy Beveridge","doi":"10.1016/j.ynirp.2024.100216","DOIUrl":"10.1016/j.ynirp.2024.100216","url":null,"abstract":"<div><h3>Background</h3><p>Deep grey matter pathology is a key driver of disability worsening in people with multiple sclerosis. Quantitative susceptibility mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique which quantifies local magnetic susceptibility from variations in phase produced by changes in the local magnetic field. In the deep grey matter, susceptibility has previously been validated against tissue iron concentration. However, it currently remains unknown whether susceptibility is abnormal in older progressive MS cohorts, and whether it correlates with disability.</p></div><div><h3>Objectives</h3><p>To investigate differences in mean regional susceptibility in deep grey matter between people with secondary progressive multiple sclerosis (SPMS) and healthy controls; to examine in patients the relationships between deep grey matter susceptibility and clinical and imaging measures of disease severity.</p></div><div><h3>Methods</h3><p>Baseline data from a subgroup of the MS-STAT2 trial (simvastatin vs. placebo in SPMS, NCT03387670) were included. The subgroup underwent clinical assessments and an advanced MRI protocol at 3T. A cohort of age-matched healthy controls underwent the same MRI protocol. Susceptibility maps were reconstructed using a robust QSM pipeline from multi-echo 3D gradient-echo sequence. Regions of interest (ROIs) in the thalamus, globus pallidus and putamen were segmented from 3D T1-weighted images, and lesions segmented from 3D fluid-attenuated inversion recovery images. Linear regression was used to compare susceptibility from ROIs between patients and controls, adjusting for age and sex. Where significant differences were found, we further examined the associations between ROI susceptibility and clinical and imaging measures of MS severity.</p></div><div><h3>Results</h3><p>149 SPMS (77% female; mean age: 53 yrs; median Expanded Disability Status Scale (EDSS): 6.0 [interquartile range 4.5–6.0]) and 33 controls (52% female, mean age: 57) were included.</p><p>Thalamic susceptibility was significantly lower in SPMS compared to controls: mean (SD) 28.6 (12.8) parts per billion (ppb) in SPMS vs. 39.2 (12.7) ppb in controls; regression coefficient: −12.0 [95% confidence interval: −17.0 to −7.1], p < 0.001. In contrast, globus pallidus and putamen susceptibility were similar between both groups.</p><p>In SPMS, a 10 ppb lower thalamic susceptibility was associated with a +0.13 [+0.01 to +0.24] point higher EDSS (p < 0.05), a −2.4 [−3.8 to −1.0] point lower symbol digit modality test (SDMT, p = 0.001), and a −2.4 [−3.7 to −1.1] point lower Sloan low contrast acuity, 2.5% (p < 0.01).</p><p>Lower thalamic susceptibility was also strongly associated with a higher T2 lesion volume (T2LV, p < 0.001) and lower normalised whole brain, deep grey matter and thalamic volumes (all p < 0.001).</p></div><div><h3>Conclusions</h3><p>The reduced thalamic susceptibility found in SPMS compared to controls sug","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 3","pages":"Article 100216"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666956024000229/pdfft?md5=5997b8a4e7540c4e26ae502b8ece2d80&pid=1-s2.0-S2666956024000229-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151021","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}
Pub Date : 2024-09-01DOI: 10.1016/j.ynirp.2024.100217
Marina Weiler , Evan S. Lutkenhoff , Brunno M. de Campos , Raphael F. Casseb , Paul M. Vespa , Martin M. Monti , for the EpiBioS4Rx Study Group
The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx, project 3) is a prospective multicenter clinical observational study to identify early biomarkers of epileptogenesis after moderate-to-severe traumatic brain injury (TBI). We used a seed-based approach applied to acute (i.e., ≤14 days) fMRI imaging data, directly testing the hypothesis that the presence of seizures up to two years following brain trauma is associated with functional changes within hippocampi and thalami-cortical networks. Additionally, we hypothesized that the network connectivity involving thalami and hippocampi circuits underlying early and late-onset seizures would differ. Approximately 30% of the initial dataset was deemed unusable due to MRI issues. Approximately 50% of the enrolled sample was lost to a 2-year follow-up. After preprocessing the fMRI data, approximately 40% of the follow-up sample had to be excluded from the analysis due to excessive in-scanner movements, as assessed by state-of-the-art quality control protocols. Only 37 patients provided data that was suitable for the seed-based analysis. Despite these challenges, the remaining, high-quality data returned noteworthy findings. We identified specific hippocampi and thalami biomarkers associated with both early and late seizures following TBI (p < .05, FWE-corrected at the cluster level). The predictive capability for the development of late seizures after TBI, when adding fMRI data to demographic and clinical data, provided 88% accuracy — an additional 8% improvement compared to using demographic and clinical data alone. Our findings highlight the potential of fMRI for uncovering, in hippocampal and thalamic cortical networks, biomarkers of early and late seizures following TBI. However, they also highlight the important challenges that need to be overcome in order for fMRI to become an effective biomarker and prognostic tool in the intensive care context.
{"title":"Early alterations of thalami- and hippocampi-cortical functional connectivity as biomarkers of seizures after traumatic brain injury","authors":"Marina Weiler , Evan S. Lutkenhoff , Brunno M. de Campos , Raphael F. Casseb , Paul M. Vespa , Martin M. Monti , for the EpiBioS4Rx Study Group","doi":"10.1016/j.ynirp.2024.100217","DOIUrl":"10.1016/j.ynirp.2024.100217","url":null,"abstract":"<div><p>The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx, project 3) is a prospective multicenter clinical observational study to identify early biomarkers of epileptogenesis after moderate-to-severe traumatic brain injury (TBI). We used a seed-based approach applied to acute (i.e., ≤14 days) fMRI imaging data, directly testing the hypothesis that the presence of seizures up to two years following brain trauma is associated with functional changes within hippocampi and thalami-cortical networks. Additionally, we hypothesized that the network connectivity involving thalami and hippocampi circuits underlying early and late-onset seizures would differ. Approximately 30% of the initial dataset was deemed unusable due to MRI issues. Approximately 50% of the enrolled sample was lost to a 2-year follow-up. After preprocessing the fMRI data, approximately 40% of the follow-up sample had to be excluded from the analysis due to excessive in-scanner movements, as assessed by state-of-the-art quality control protocols. Only 37 patients provided data that was suitable for the seed-based analysis. Despite these challenges, the remaining, high-quality data returned noteworthy findings. We identified specific hippocampi and thalami biomarkers associated with both early and late seizures following TBI (p < .05, FWE-corrected at the cluster level). The predictive capability for the development of late seizures after TBI, when adding fMRI data to demographic and clinical data, provided 88% accuracy — an additional 8% improvement compared to using demographic and clinical data alone. Our findings highlight the potential of fMRI for uncovering, in hippocampal and thalamic cortical networks, biomarkers of early and late seizures following TBI. However, they also highlight the important challenges that need to be overcome in order for fMRI to become an effective biomarker and prognostic tool in the intensive care context.</p></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"4 3","pages":"Article 100217"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666956024000230/pdfft?md5=b449d86d05b9753ff7a4675391a7d9ec&pid=1-s2.0-S2666956024000230-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172034","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}
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