Neuroimage-Clinical最新文献

{"title":"A practical overview of the use of amyloid-PET Centiloid values in clinical trials and research","authors":"Leonardo Iaccarino ,&nbsp;Samantha C. Burnham ,&nbsp;Ilke Tunali ,&nbsp;Jian Wang ,&nbsp;Michael Navitsky ,&nbsp;Anupa K. Arora ,&nbsp;Michael J. Pontecorvo","doi":"10.1016/j.nicl.2025.103765","DOIUrl":"10.1016/j.nicl.2025.103765","url":null,"abstract":"<div><div>The density of brain amyloid-beta neuritic plaque accumulation, a marker of Alzheimer’s disease (AD), can be visualized and quantified using amyloid-positron emission tomography (PET). Amyloid-PET data can be obtained using different tracers and methodologies; therefore, comparison across studies can be difficult. The introduction of Centiloids in 2015 allowed for the transformation of amyloid-PET quantitative data to a common scale, enhancing comparability across studies and potentially enabling pooled analysis. Since then, Centiloid values have been used increasingly in research and clinical trials for multiple purposes, being tested and validated with a variety of clinical, biomarker and pathological standards of truth. In clinical trials, Centiloid values have been used for patient selection, to confirm the presence of AD pathology, as well as for treatment monitoring, especially in trials of disease-modifying treatments such as amyloid-targeting therapies. Building on their widespread adoption, Centiloid values are increasingly being integrated into commercially available software solutions for quantifying amyloid-PET, paving the way for real-world applications at the community level. This article addresses frequently asked questions about Centiloid definition, implementation, interpretation, and caveats, and also summarizes the available literature on published thresholds, ultimately supporting wider access and informed use of Centiloid values in Alzheimer’s disease research.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103765"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term BCI intervention enhances functional brain connectivity associated with motor performance in chronic stroke","authors":"Khosrov A. Grigoryan ,&nbsp;Karsten Mueller ,&nbsp;Matthias Wagner ,&nbsp;Diaa Masri ,&nbsp;Kerrin J. Pine ,&nbsp;Arno Villringer ,&nbsp;Bernhard Sehm","doi":"10.1016/j.nicl.2025.103772","DOIUrl":"10.1016/j.nicl.2025.103772","url":null,"abstract":"<div><h3>Background</h3><div>Evidence suggests that brain-computer interface (BCI)-based rehabilitation strategies show promise in overcoming the limited recovery potential in the chronic phase of stroke. However, the specific mechanisms driving motor function improvements are not fully understood.</div></div><div><h3>Objective</h3><div>We aimed at elucidating the potential functional brain connectivity changes induced by BCI training in participants with chronic stroke.</div></div><div><h3>Methods</h3><div>A longitudinal crossover design was employed with two groups of participants over the span of 4 weeks to allow for within-subject (n = 21) and cross-group comparisons. Group 1 (n = 11) underwent a 6-day motor imagery-based BCI training during the second week, whereas Group 2 (n = 10) received the same training during the third week. Before and after each week, both groups underwent resting state functional MRI scans (4 for Group 1 and 5 for Group 2) to establish a baseline and monitor the effects of BCI training.</div></div><div><h3>Results</h3><div>Following BCI training, an increased functional connectivity was observed between the medial prefrontal cortex of the default mode network (DMN) and motor-related areas, including the premotor cortex, superior parietal cortex, SMA, and precuneus. Moreover, these changes were correlated with the increased motor function as confirmed with upper-extremity Fugl-Meyer assessment scores, measured before and after the training.</div></div><div><h3>Conclusions</h3><div>Our findings suggest that BCI training can enhance brain connectivity, underlying the observed improvements in motor function. They provide a basis for developing novel rehabilitation approaches using non-invasive brain stimulation for targeting functionally relevant brain regions, thereby augmenting BCI-induced neuroplasticity and enhancing motor recovery.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103772"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825529","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}

{"title":"Altered neural signalling during reward anticipation in children and early adolescents with high psychotic-like experiences","authors":"Pritha Sen ,&nbsp;Franziska Knolle","doi":"10.1016/j.nicl.2025.103756","DOIUrl":"10.1016/j.nicl.2025.103756","url":null,"abstract":"<div><h3>Background</h3><div>Schizophrenia is associated with abnormalities in neurodevelopmental processes. Furthermore, dysfunctional neural circuits involved in reward processing may be linked to the development of symptoms in schizophrenia and are predictive of long-term functional outcome. It is however unknown whether neural signatures of reward anticipation are detectable in children with high psychotic-like experiences.</div></div><div><h3>Methods</h3><div>Using data from the ABCD study 4.1, we defined a healthy control (N = 50) and a high psychotic-like experience (N = 50) group with a Prodromal Psychosis Syndrome (PPS) score &gt; 3 and distress score &gt; 6 at baseline (9–10 years) and 2nd year follow-up (11–12 years). While undergoing functional MR-imaging, all children completed the Monetary Incentive Delay task. Using the preprocessed ABCD-data, we explored whether behaviour and brain activations for reward and loss anticipation in areas underlying reward processing differed between groups and time-points. Furthermore, we investigated whether those brain activations that showed differences between the groups were predictive of later PPS scores. Additionally, we also employed computational modelling to assess response vigour.</div></div><div><h3>Results</h3><div>While response times did not differ, the computational model revealed that response vigour for salient cues was significantly lower in the high PLEs compared to controls at baseline. We also found that children with high PLEs demonstrated lower activation during reward anticipation in the anterior insula at the baseline time-point; the nucleus accumbens, the putamen, the dorsolateral (dlPFC) and the ventral medial prefrontal cortex at the 2nd year follow-up, and in the caudate at both timepoints, compared to controls. Regression analysis revealed that deactivations in the left anterior insula and left dlPFC, was predictive of later PPS scores.</div></div><div><h3>Conclusion</h3><div>This study reveals that neural alterations during reward anticipation are detectable in children with high PLEs. These dysfunctions in neural activation patterns may serve as potential predictive biomarkers for psychosis.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103756"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural brain alterations and changes in resting-state functional connectivity in patients with trigeminal neuralgia: A meta-analysis","authors":"Lapo Nardoni ,&nbsp;Maria Giulia Tullo ,&nbsp;Giulia Di Stefano ,&nbsp;Marco Fiorelli ,&nbsp;Francesca Caramia","doi":"10.1016/j.nicl.2025.103759","DOIUrl":"10.1016/j.nicl.2025.103759","url":null,"abstract":"<div><h3>Background</h3><div>Trigeminal neuralgia (TN) is a chronic pain condition characterized by severe, electric shock-like pain in one or more branches of the trigeminal nerve. Even though neuroimaging studies have highlighted alterations in brain cortical and subcortical structure and functional connectivity, findings are heterogeneous.</div></div><div><h3>Objective</h3><div>This <em>meta</em>-analysis aims to synthesize structural and functional brain changes in TN patients through a coordinate-based <em>meta</em>-analysis using GingerALE.</div></div><div><h3>Methods</h3><div>A search on PubMed, Google Scholar, and Scopus was conducted to select pertinent publications on structural magnetic resonance imaging (MRI) (brain volume and cortical thickness) and resting-state functional MRI in TN patients that were published before January 2024. Activation likelihood estimation (ALE) was used to identify consistent brain alteration patterns across studies.</div></div><div><h3>Results</h3><div>A total of 1436 papers were identified and, after review based on the predefined inclusion and exclusion criteria, 13 papers (538 patients) discussing structural brain changes and 11 studies (368 patients) discussing resting-state functional connectivity studies were selected for inclusion. Structural and functional alterations in TN were observed in the left thalamus.</div></div><div><h3>Conclusions</h3><div>This <em>meta</em>-analysis provides a comprehensive examination of structural and functional abnormalities in TN patients, highlighting consistent alterations in left thalamus. Future research should identify brain structural and functional changes specific for TN as compared to other forms of chronic pain, explore longitudinal changes correlated to clinical parameters, and perform intra-population studies to address lateralization, to enhance diagnostic and therapeutic outcomes for TN patients.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103759"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multimodal Neuroimaging-Based risk score for mild cognitive impairment","authors":"Elaheh Zendehrouh ,&nbsp;Mohammad S.E. Sendi ,&nbsp;Anees Abrol ,&nbsp;Ishaan Batta ,&nbsp;Reihaneh Hassanzadeh ,&nbsp;Vince D. Calhoun","doi":"10.1016/j.nicl.2024.103719","DOIUrl":"10.1016/j.nicl.2024.103719","url":null,"abstract":"<div><h3>Introduction</h3><div>Alzheimer’s disease (AD), the most prevalent age-related dementia, leads to significant cognitive decline. While genetic risk factors and neuroimaging biomarkers have been extensively studied, establishing a neuroimaging-based metric to assess AD risk has received less attention. This study introduces the Brain-wide Risk Score (BRS), a novel approach using multimodal neuroimaging data to assess the risk of mild cognitive impairment (MCI), a precursor to AD.</div></div><div><h3>Methods</h3><div>Participants from the OASIS-3 cohort (<em>N</em> = 1,389) were categorized into control (CN) and MCI groups. Structural MRI (sMRI) data provided gray matter (GM) segmentation maps, while resting-state functional MRI (fMRI) data yielded functional network connectivity (FNC) matrices via spatially constrained independent component analysis. Similar imaging features were computed from the UK Biobank (<em>N</em> = 37,780). The BRS was calculated by comparing each participant’s neuroimaging features to the difference between average features of CN and MCI groups. Both GM and FNC features were used. The BRS effectively differentiated CN from MCI individuals within OASIS-3 and in an independent dataset from the ADNI cohort (<em>N</em> = 729), demonstrating its ability to identify MCI risk.</div></div><div><h3>Results</h3><div>Unimodal analysis revealed that sMRI provided greater differentiation than fMRI, consistent with prior research. Using the multimodal BRS, we identified two distinct groups: one with high MCI risk (negative GM and FNC BRS) and another with low MCI risk (positive GM and FNC BRS). Additionally, 46 UK Biobank participants diagnosed with AD showed FNC and GM patterns similar to the high-risk groups.</div></div><div><h3>Conclusion</h3><div>Validation using the ADNI dataset confirmed our results, highlighting the potential of FNC and sMRI-based BRS in early Alzheimer’s detection.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103719"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664180/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: A multi-reader study","authors":"Tommaso Di Noto ,&nbsp;Sofyan Jankowski ,&nbsp;Francesco Puccinelli ,&nbsp;Guillaume Marie ,&nbsp;Sebastien Tourbier ,&nbsp;Yasser Alemán-Gómez ,&nbsp;Oscar Esteban ,&nbsp;Ricardo Corredor-Jerez ,&nbsp;Guillaume Saliou ,&nbsp;Patric Hagmann ,&nbsp;Meritxell Bach Cuadra ,&nbsp;Jonas Richiardi","doi":"10.1016/j.nicl.2025.103835","DOIUrl":"10.1016/j.nicl.2025.103835","url":null,"abstract":"<div><div>Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subsequent integration into clinical setting is rarely evaluated. In this work, we assess the applicability and utility of an AI-based model for brain aneurysm detection comparing the performance of two readers with different levels of experience (2 and 13 years). We aim to answer the following questions: 1) Do the readers improve their performance when assisted by the AI algorithm? 2) How much does the AI algorithm impact routine clinical workflow? We reuse and enlarge our open-access, Time-Of-Flight Magnetic Resonance Angiography dataset (N = 460). We use 360 subjects for training/validating our algorithm and 100 as unseen test set for the reading session. Even though our model reaches state-of-the-art results on the test set (sensitivity = 74 %, false positive rate = 1.6), we show that neither the junior nor the senior reader significantly increase their sensitivity (p = 0.59, p = 1, respectively). In addition, we find that reading time for both readers is significantly higher in the “AI-assisted” setting than in the “Unassisted” (+15 s, on average; <span><math><mrow><mi>p</mi><mo>=</mo><mn>3</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow></math></span> junior, <span><math><mrow><mi>p</mi><mo>=</mo><mn>3</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>-</mo><mn>5</mn></mrow></msup></mrow></math></span> senior). The confidence reported by the readers is unchanged across the two settings, indicating that the AI assistance does not influence the certainty of the diagnosis. Our findings highlight the importance of clinical validation of AI algorithms in a clinical setting involving radiologists. This study should serve as a reminder to the community to always examine the real-word effectiveness and workflow impact of proposed algorithms.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103835"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549662","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}

{"title":"Modulations of thalamo-cortical coupling during voluntary movement in patients with essential tremor","authors":"Alexandra Steina ,&nbsp;Sarah Sure ,&nbsp;Markus Butz ,&nbsp;Jan Vesper ,&nbsp;Alfons Schnitzler ,&nbsp;Jan Hirschmann","doi":"10.1016/j.nicl.2025.103848","DOIUrl":"10.1016/j.nicl.2025.103848","url":null,"abstract":"<div><div>The ventral intermediate nucleus of the thalamus (VIM) is the main thalamic hub for cerebellar inputs and the primary deep brain stimulation target in essential tremor (ET). As such, it presumably plays a critical role in motor control. However, this structure is rarely studied in humans, and existing studies mostly focus on tremor. Here, we studied neural oscillations in the VIM and their coupling to cortical oscillations during voluntary movement.</div><div>We investigated thalamo-cortical coupling, combining recordings of thalamic local field potentials and magnetoencephalography, in 10 ET patients with externalized deep brain stimulation electrodes. During the recording, patients repeatedly pressed a button in response to a visual cue. In a whole-brain analysis of VIM-cortex coherence, we contrasted activity during pre-movement baseline and button pressing.</div><div>Button pressing was associated with a bilateral decrease of thalamic alpha (8–12 Hz) and beta (13–21 Hz) power and a contralateral gamma (35–90 Hz) power increase. Alpha/low-beta (8–20 Hz) coherence decreased during movement. This effect localized to the supplementary motor area and premotor cortex. A high-beta (21–35 Hz) coherence increase occurred in the same region but was more focal than the suppression. Pre-movement levels of thalamo-cortex low-beta coherence correlated with reaction time.</div><div>Our results demonstrate that voluntary movement is associated with modulations of behaviourally relevant thalamic coupling, primarily to premotor areas. We observed a clear distinction between low- and high-beta frequencies and our results suggest that the concept of “antikinetic” beta oscillations, originating from research on Parkinson’s disease, is transferable to ET.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103848"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662572","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}

{"title":"Broader functionality of language areas at the left middle frontal gyrus in patients with Broca’s area tumors","authors":"Riho Nakajima ,&nbsp;Akitoshi Ogawa ,&nbsp;Masashi Kinoshita ,&nbsp;Takahiro Osada ,&nbsp;Hirokazu Okita ,&nbsp;Seiki Konishi ,&nbsp;Mitsutoshi Nakada","doi":"10.1016/j.nicl.2025.103860","DOIUrl":"10.1016/j.nicl.2025.103860","url":null,"abstract":"<div><div>The frontal language area (FLA; left posterior inferior frontal gyrus [pIFG] or Broca’s area), critical for language processing can reorganize in response to lesion progression. While reorganization in the contralateral hemisphere is well known, how reorganization occurs within the ipsilateral hemisphere, especially in the perilesional region, remains unclear. Direct electrical stimulation (DES) during awake surgery enables identification of causal relationships between brain regions and language functions with high spatial resolution. In this study, we investigated cortical reorganization within the ipsilateral hemisphere of the FLA. Seventy-two patients with left hemisphere gliomas were studied. Patients were divided into FLA and non-FLA groups based on whether lesions included the pIFG (n = 10 and n = 62, respectively). All patients underwent DES during a picture-naming task, as recommended by awake surgery guidelines. A subset also underwent resting-state functional MRI (rsfMRI) before surgery to calculate betweenness centrality, an index of network importance of brain areas. DES revealed that the pIFG exhibited positive (impaired) responses to the picture-naming task in both groups. Notably, the frequency of positive responses in the middle frontal gyrus (MFG) was significantly higher in the FLA group than in the non-FLA group. RsfMRI-based network analyses revealed that two areas in the MFG, one in the anterior part and the other in the posterior part, showed higher centrality than surrounding frontal areas in both groups, especially the posterior one. These results suggest that language areas can be observed in the perilesional MFG regions following tumor progression, and raise the possibility that network hubs contribute to maintaining cognitive functions after brain lesions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103860"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827430","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}

{"title":"Simultaneous MRI and laser Doppler Flowmetry: Assessing cerebral Macro- and microcirculation in neurointensive care","authors":"Sofie Tapper ,&nbsp;Stina Mauritzon ,&nbsp;Marcelo P. Martins ,&nbsp;Fredrik Ginstman ,&nbsp;Anders Tisell ,&nbsp;Peter Zsigmond ,&nbsp;Karin Wårdell","doi":"10.1016/j.nicl.2025.103821","DOIUrl":"10.1016/j.nicl.2025.103821","url":null,"abstract":"<div><h3>Objective</h3><div>Subarachnoid hemorrhage (SAH) patients are monitored in the neurointensive care unit (NICU) to avoid additional brain injuries, yet methods for monitoring cerebral blood flow (CBF) are limited. The aim was to investigate the feasibility of simultaneous MRI, using arterial spin labeling (ASL) and 2D-flow MRI, and probe-based laser Doppler flowmetry (LDF) in NICU patients.</div></div><div><h3>Method</h3><div>Four SAH patients, three of whom received optical probes during routine surgery, were included. Compatibility of simultaneous LDF and MRI was evaluated before performing MRI 3–4 times over several days per patient. The methods were compared using mean CBF in grey matter obtained from the absolute ASL CBF-maps, the total inflow calculated from 2D-flow MRI, and local average LDF perfusion. Additionally, regional mean CBF from ASL and each arterial flowrate was compared for each hemisphere.</div></div><div><h3>Result</h3><div>Twelve MRI measurements were successfully performed, eight of which included simultaneous LDF. With careful routines and the MR scanner uniquely located in the NICU, neither patient safety nor data quality was compromised, demonstrating the feasibility of concurrent measurements. All methods showed longitudinal dynamic changes, following the same increasing or decreasing trends. In three patients, ASL and 2D-flow data were closely related, with dynamic changes within 10 %.</div></div><div><h3>Conclusion</h3><div>This novel approach offers longitudinal, simultaneous estimates of macro- and microcirculatory components locally, regionally, and globally in the human brain. This concept has potential to provide insights into the interplay of different aspects of CBF in NICU patients and thereby aid in prevention of secondary brain injuries.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103821"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307676","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}

{"title":"Comparable 40 Hz auditory steady-state responses in children at familial high risk for schizophrenia or bipolar disorder and population-based controls","authors":"Kit Melissa Larsen ,&nbsp;Júlia Díaz-i-Calvete ,&nbsp;Anna Hester Ver Loren van Themaat ,&nbsp;Anne Amalie Elgaard Thorup ,&nbsp;Kerstin Jessica Plessen ,&nbsp;Merete Nordentoft ,&nbsp;Hartwig Roman Siebner","doi":"10.1016/j.nicl.2025.103841","DOIUrl":"10.1016/j.nicl.2025.103841","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103841"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144589008","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}