Brain Communications最新文献

{"title":"High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery","authors":"Jack Lin, Garnett C. Smith, Stephen V Gliske, Michal Zochowski, K. Shedden, William C Stacey","doi":"10.1093/braincomms/fcae032","DOIUrl":"https://doi.org/10.1093/braincomms/fcae032","url":null,"abstract":"\u0000 High frequency oscillations (HFOs) are a promising biomarker of outcome in intractable epilepsy. Prior HFO work focused on counting HFOs on individual channels, and it is still unclear how to translate those results into clinical care. We show that HFOs arise as network discharges that have valuable properties as predictive biomarkers. Here, we develop a tool to predict patient outcome before surgical resection is performed, based upon only prospective information. In addition to determining HFO rate on every channel, we performed a correlational analysis to evaluate functional connectivity of HFOs in 28 patients with intracranial electrodes. We found that HFOs were often not solitary events on a single channel, but part of a local network discharge. Eigenvector and outcloseness centrality were used to rank channel importance within the connectivity network, then used to compare patient outcome by comparison with the Seizure Onset Zone or a proportion within the proposed resected channels (Critical Resection Percentage). Combining the knowledge of each patient’s Seizure Onset Zone resection plan along with our computed HFO network centralities and HFO rate, we develop a Naïve Bayes model that predicts outcome (Positive Predictive Value: 100%) better than predicting based upon fully resecting the Seizure Onset Zone (Positive Predictive Value: 71%). Surgical margins had a large effect on outcomes: non-palliative patients in whom most of the Seizure Onset Zone was resected (‘definitive surgery’, ≥ 80% resected) had predictable outcomes, whereas palliative surgeries (< 80% resected) were not predictable. These results suggest that the addition of network properties of HFOs is more accurate in predicting patient outcome than Seizure Onset Zone alone in patients with most of the Seizure Onset Zone removed and offer great promise for informing clinical decisions in surgery for refractory epilepsy.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diffusion weighted magnetic resonance spectroscopy revealed neuronal specific microstructural alterations in Alzheimer’s disease","authors":"N. Spotorno, Chloé Najac, O. Strandberg, E. Stomrud, D. van Westen, Markus Nilsson, Itamar Ronen, Oskar Hansson","doi":"10.1093/braincomms/fcae026","DOIUrl":"https://doi.org/10.1093/braincomms/fcae026","url":null,"abstract":"\u0000 In Alzheimer’s disease reconfiguration and deterioration of tissue microstructure occur before substantial degeneration become evident. We explored the diffusion properties of both water, a ubiquitous marker measured by diffusion MRI, and N-acetyl-aspartate, a neuronal metabolite probed by diffusion weighted magnetic resonance spectroscopy, for investigating cortical microstructural changes downstream of Alzheimer’s disease pathology. To this aim, 50 participants from the Swedish-BioFINDER-2 study were scanned on both 7 T and 3 T MRI systems. We found that in cognitively impaired participants with evidence of both abnormal amyloid-beta (CSF amyloid-beta42/40) and tau accumulation (tau-PET) the N-acetyl-aspartate diffusion rate was significantly lower than in cognitively unimpaired participants (p < 0.05). This supports the hypothesis that intraneuronal tau accumulation hinders diffusion in the neuronal cytosol. Conversely, water diffusivity was higher in cognitively impaired participants (p < 0.001) and was positively associated with the concentration of myo-Inositol, a preferentially astrocytic metabolite (p < 0.001), suggesting that water diffusion is sensitive to alterations in the extracellular space and in glia. In conclusion, measuring the diffusion properties of both water and N-acetyl-aspartate provides rich information on the cortical microstructure in Alzheimer’s disease, and can be used to develop new sensitive and specific markers to microstructural changes occurring during the disease course.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":"15 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139688140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate lesion symptom mapping for predicting trajectories of recovery from aphasia","authors":"Deborah F Levy, J. L. Entrup, Sarah M. Schneck, Caitlin F Onuscheck, Maysaa Rahman, Anna Kasdan, Marianne Casilio, Emma Willey, L. T. Davis, Michael de Riesthal, Howard S Kirshner, Stephen M Wilson","doi":"10.1093/braincomms/fcae024","DOIUrl":"https://doi.org/10.1093/braincomms/fcae024","url":null,"abstract":"\u0000 Individuals with post-stroke aphasia tend to recover their language to some extent; however, it remains challenging to reliably predict the nature and extent of recovery that will occur in the long term. The aim of this study was to quantitatively predict language outcomes in the first year of recovery from aphasia across multiple domains of language and at multiple timepoints post-stroke. We recruited 217 patients with aphasia following acute left hemisphere ischemic or hemorrhagic stroke and evaluated their speech and language function using the Quick Aphasia Battery acutely, then acquired longitudinal follow-up data at up to 3 time points post-stroke: one month (n = 102), three months (n = 98) and one year (n = 74). We used support vector regression (SVR) to predict language outcomes at each timepoint using acute clinical imaging data, demographic variables, and initial aphasia severity as input. We found that approximately 60% of the variance in long term (1 year) aphasia severity could be predicted using these models, with detailed information about lesion location importantly contributing to these predictions. Predictions at the 1 and 3 month timepoints were somewhat less accurate based on lesion location alone, but reached comparable accuracy to predictions at the 1 year timepoint when initial aphasia severity was included in the models. Specific subdomains of language besides overall severity were predicted with varying but often similar degrees of accuracy. Our findings demonstrate the feasibility of using SVR models with leave-one-out-cross validation to make personalized predictions about long term recovery from aphasia, and provide a valuable neuroanatomical baseline upon which to build future models incorporating information beyond neuroanatomical and demographic predictors.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":"3 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139686547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal fiber-specific white matter damage predicts cognitive decline in multiple sclerosis","authors":"Ismail Koubiyr, Eva A. Krijnen, A. Eijlers, I. Dekker, H. Hulst, Bernard M. J. Uitdehaag, F. Barkhof, Jeroen J G Geurts, M. Schoonheim","doi":"10.1093/braincomms/fcae018","DOIUrl":"https://doi.org/10.1093/braincomms/fcae018","url":null,"abstract":"\u0000 During the course of multiple sclerosis (MS), many patients experience cognitive deficits which are not simply driven by lesion number or location. By considering the full complexity of white matter (WM) structure at macro- and microstructural level, our understanding of cognitive impairment in MS may increase substantially. Accordingly, this study aimed to investigate specific patterns of WM degeneration, the evolution over time, the manifestation across different stages of the disease and their role in cognitive impairment using a novel fixel-based approach.\u0000 Neuropsychological test scores and MRI scans including 30-direction diffusion weighted images were collected from 327 MS patients (mean age = 48.34 years, 221 female) and 95 healthy controls (HCs; mean age = 45.70 years, 55 female). Of those, 233 patients and 61 HCs had similar follow-up assessments five years after. Patients scoring 1.5 standard deviation (SD) or 2SD below HCs on at least 2 out of 7 cognitive domains (from the Brief Repeatable Battery of Neuropsychological Tests, BRB-N) were classified as mildly cognitively impaired (MCI) or cognitively impaired (CI), respectively, or otherwise cognitively preserved (CP). Fixel-based analysis of diffusion data was used to calculate fiber-specific measures (fiber density [FD], reflecting microstructural diffuse axonal damage; fiber cross-section [FC] reflecting macrostructural tract atrophy) within atlas-based WM tracts at each visit.\u0000 At baseline, all fixel-based measures were significantly worse in MS compared to HCs (p < 0.05). For both FD and FC, a similar pattern was observed, with secondary progressive MS patients having the most severe damage, followed by primary progressive and relapsing-remitting MS. Similarly, damage was least severe in CP (n = 177), more severe in MCI (n = 63), and worst in CI (n = 87; p < 0.05). Microstructural damage was most pronounced in the cingulum, while macrostructural alterations were most pronounced in the corticospinal tract (CST), cingulum and superior longitudinal fasciculus (SLF). Over time, WM alterations worsened most severely in progressive MS (p < 0.05), with WM atrophy progression mainly seen in the CST and microstructural axonal damage worsening in cingulum and SLF. Cognitive decline at follow-up could be predicted by baseline fixel-based measures (R2 = 0.45, p < 0.001).\u0000 Fixel-based approaches are sensitive to WM degeneration patterns in MS and can have strong predictive value for cognitive impairment. Longitudinal deterioration was most marked in progressive MS, indicating that degeneration in WM remains important to characterize further in this phenotype.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep brain stimulation does not modulate resting-state functional connectivity in essential tremor","authors":"A. Awad, F. Grill, P. Blomstedt, Lars Nyberg, Johan Eriksson","doi":"10.1093/braincomms/fcae012","DOIUrl":"https://doi.org/10.1093/braincomms/fcae012","url":null,"abstract":"\u0000 While the effectiveness of deep brain stimulation in alleviating essential tremor is well-established, the underlying mechanisms of the treatment are unclear. Essential tremor, as characterised by tremor during action, is proposed to be driven by a dysfunction in the cerebello-thalamo-cerebral circuit that is evident not only during motor actions but also during rest.\u0000 Stimulation effects on resting-state functional connectivity were investigated by functional MRI in 16 essential tremor patients with fully implanted deep brain stimulation in the caudal zona incerta during On and Off therapeutic stimulation, in a counterbalanced design. Functional connectivity was calculated between different constellations of sensorimotor as well as non-sensorimotor regions (as derived from seed-based and data-driven approaches), and compared between On and Off stimulation. We found that deep brain stimulation did not modulate resting-state functional connectivity. The lack of modulation by deep brain stimulation during resting-state, in combination with previously demonstrated effects on the cerebello-thalamo-cerebral circuit during motor tasks, suggest an action-dependent modulation of the stimulation in essential tremor.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":"9 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modification of Huntington's disease by short tandem repeats","authors":"E. Hong, Eliana Marisa Ramos, N. A. Aziz, Tom Massey, Branduff McAllister, S. Lobanov, Lesley Jones, Peter Holmans, S. Kwak, Michael Orth, Marc Ciosi, Vilija Lomeikaite, D. Monckton, Jeffrey D. Long, D. Lucente, V. Wheeler, T. Gillis, M. MacDonald, Jorge Sequeiros, J. Gusella, Jong-Min Lee","doi":"10.1093/braincomms/fcae016","DOIUrl":"https://doi.org/10.1093/braincomms/fcae016","url":null,"abstract":"\u0000 Expansions of glutamine-coding CAG trinucleotide repeats cause a number of neurodegenerative diseases, including Huntington's disease (HD) and several of the spinocerebellar ataxias (SCAs). In general, age-at-onset of the polyglutamine diseases is inversely correlated with the size of the respective inherited expanded CAG repeat. Expanded CAG repeats are also somatically unstable in certain tissues, and age-at-onset of HD corrected for individual HTT CAG repeat length (i.e., residual age-at-onset), is modified by repeat instability-related DNA maintenance/repair genes as demonstrated by recent genome-wide association studies (GWAS). Modification of one polyglutamine disease (e.g., HD) by the repeat length of another (e.g., ATXN3, CAG expansions in which cause SCA3) has also been hypothesized. Consequently, we determined whether age-at-onset in HD is modified by the CAG repeats of other polyglutamine disease genes. We found that the CAG measured repeat sizes of other polyglutamine disease genes were polymorphic in HD participants but did not influence HD age-at-onset. Additional analysis focusing specifically on ATXN3 in a larger sample set (n = 1,388) confirmed the lack of association between HD residual age-at-onset and ATXN3 CAG repeat length. Additionally, neither our HD onset modifier GWAS single nucleotide polymorphism (SNP) data nor imputed short tandem repeat (STR) data supported involvement of other polyglutamine disease genes in modifying HD. By contrast, our GWAS based on imputed STRs revealed significant modification signals for other genomic regions. Together, our STR GWAS show that modification of HD is associated with STRs that do not involve other polyglutamine disease-causing genes, refining the landscape of HD modification and highlighting the importance of rigorous data analysis, especially in genetic studies testing candidate modifiers.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":"118 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139605527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-stroke upper limb recovery is correlated with dynamic resting-state network connectivity","authors":"Chih-Wei Tang, C. Zich, Andrew J Quinn, M. Woolrich, Shih-Pin Hsu, Chi-Hung Juan, I-Hui Lee, Charlotte J. Stagg","doi":"10.1093/braincomms/fcae011","DOIUrl":"https://doi.org/10.1093/braincomms/fcae011","url":null,"abstract":"\u0000 Motor recovery is still limited for people with stroke especially those with greater functional impairments. In order to improve outcome, we need to understand more about the mechanisms underpinning recovery. Task-unbiased, blood-flow independent post-stroke neural activity can be acquired from resting brain electrophysiological recordings, and offers substantial promise to investigate physiological mechanisms, but behaviourally-relevant features of resting-state sensorimotor network dynamics have not yet been identified. Thirty-seven people with subcortical ischemic stroke and unilateral hand paresis of any degree were longitudinally evaluated at 3 weeks (early subacute) and 12 weeks (late subacute) after stroke. Resting-state magnetoencephalography and clinical scores of motor function were recorded and compared with matched controls. Magnetoencephalography data were decomposed using a data-driven Hidden Markov Model into 10 time-varying resting-state networks. People with stroke showed statistically significantly improved Action Research Arm Test and Fugl-Meyer upper extremity scores between 3 weeks and 12 weeks after stroke (both p < 0.001). Hidden Markov Model analysis revealed a primarily alpha-band ipsilesional resting-state sensorimotor network which had a significantly increased life-time (the average time elapsed between entering and exiting the network) and fractional occupancy (the occupied percentage among all networks) at 3 weeks after stroke when compared to controls. The life-time of the ipsilesional resting-state sensorimotor network positively correlated with concurrent motor scores in people with stroke who had not fully recovered. Specifically, this relationship was observed only in ipsilesional rather in contralesional sensorimotor network, default mode network or visual network. The ipsilesional sensorimotor network metrics were not significantly different from controls at 12 weeks after stroke. The increased recruitment of alpha-band ipsilesional resting-state sensorimotor network at subacute stroke served as functionally correlated biomarkers exclusively in people with stroke with not fully recovered hand paresis, plausibly reflecting functional motor recovery processes.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":"64 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139604381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexually dimorphic murine brain uptake of the 18 kDa translocator protein PET radiotracer [18F]LW223","authors":"Agne Knyzeliene, C. Wimberley, M. Macaskill, Carlos J. Alcaide-Corral, Timaeus E. F. Morgan, Martyn C Henry, C. Lucatelli, S. Pimlott, Andrew Sutherland, A. A. Tavares","doi":"10.1093/braincomms/fcae008","DOIUrl":"https://doi.org/10.1093/braincomms/fcae008","url":null,"abstract":"\u0000 The 18 kDa translocator protein is a well-known biomarker of neuroinflammation, but also plays a role in homeostasis. Positron Emission Tomography (PET) with 18 kDa translocator protein radiotracers [11C]PBR28 in humans and [18F]GE180 in mice have demonstrated sex-dependent uptake patterns in the healthy brain, suggesting sex-dependent 18 kDa translocator protein expression, although humans and mice had differing results. This study aimed to assess whether the 18 kDa translocator protein PET radiotracer [18F]LW223 exhibited sexually-dimorphic uptake in healthy murine brain and peripheral organs.\u0000 Male and female C57Bl6/J mice (13.6 ± 5.4 weeks, 26.8 ± 5.4 g, mean ± SD) underwent 2-hour PET scanning post-administration of [18F]LW223 (6.7 ± 3.6 MBq). Volume of interest and parametric analyses were performed using standard uptake values (90-120 min). Statistical differences were assessed by unpaired t-test or two-way ANOVA with Šidak’s test (alpha = 0.05).\u0000 The uptake of [18F]LW223 was significantly higher across multiple regions of the male mouse brain, with the most pronounced difference detected in hypothalamus (p < 0.0001). Males also exhibited significantly higher [18F]LW223 uptake in the heart when compared to females (p = 0.0107).\u0000 Data supports previous findings on sexually dimorphic 18 kDa translocator protein radiotracer uptake patterns in mice and highlights the need to conduct sex-controlled comparisons in 18 kDa translocator protein PET imaging studies.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139618633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline","authors":"Mianxin Liu, Qi Huang, Lin Huang, Shuhua Ren, L. Cui, Han Zhang, Yihui Guan, Qihao Guo, Fang Xie, Dinggang Shen","doi":"10.1093/braincomms/fcae010","DOIUrl":"https://doi.org/10.1093/braincomms/fcae010","url":null,"abstract":"\u0000 Subjective cognitive decline is potentially the earliest symptom of Alzheimer’s disease, whose objective neurological basis remains elusive. To explore the potential biomarkers for subjective cognitive decline, we developed a novel deep learning method based on multiscale dynamical brain functional networks to identify subjective cognitive declines. We retrospectively constructed an internal dataset (with 112 subjective cognitive decline and 64 healthy control subjects) to develop and internally validate the deep learning model. Conventional deep learning methods based on statical and dynamic brain functional networks are compared. After the model is established, we prospectively collect an external dataset (26 subjective cognitive decline and 12 healthy control subjects) for testing. Meanwhile, our method provides monitoring of the transitions between normal and abnormal (subjective-cognitive-decline-related) dynamical functional network states. The features of abnormal dynamical functional network states are quantified by network and variability metrics and associated with individual cognitions. Our method achieves an area under the receiver operating characteristic curve of 0.807 ± 0.046 in the internal validation dataset, and of 0.707 (p = 0.007) in the external testing dataset, which shows improvements compared to conventional methods. The method further suggests that, at the local level, the abnormal dynamical functional network states are characterized by decreased connectivity strength and increased connectivity variability at different spatial scales. At the network level, the abnormal states are featured by scale-specifically altered modularity and all-scale decreased efficiency. Low tendencies to stay in abnormal states and high state transition variabilities are significantly associated with high general, language, and executive functions. Overall, our work supports the deficits in multiscale brain dynamical functional networks detected by the deep learning method as reliable and meaningful neural alternation underpinning subjective cognitive decline.","PeriodicalId":504765,"journal":{"name":"Brain Communications","volume":" October","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139618310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}