Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain

Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)

Published: July 14, 2023

Over the past two decades, study of resting-state functional magnetic resonance imaging has revealed that connectivity within and between networks is linked to cognitive states pathologies. However, white matter connections supporting this remain only partially described. We developed a method jointly map grey contributing each network (RSN). Using Human Connectome Project, we generated an atlas 30 RSNs. The also highlighted overlap networks, which most brain's (89%) shared multiple RSNs, with 16% by at least 7 These overlaps, especially existence regions numerous suggest lesions in these areas might strongly impact communication networks. provide open-source software explore joint contribution RSNs facilitate damage In first application clinical data, were able link stroke patients impacted showing their symptoms aligned well estimated functions

Language: Английский

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Multivariate mapping of low-resilient neurocognitive systems within and around low-grade gliomas

Brain, Journal Year: 2024, Volume and Issue: 147(8), P. 2718 - 2731

Published: April 22, 2024

Accumulating evidence suggests that the brain exhibits a remarkable capacity for functional compensation in response to neurological damage, resilience potential is deeply rooted malleable features of its underlying anatomofunctional architecture. This propensity particularly exemplified by diffuse low-grade glioma, subtype primary tumour. However, plasticity not boundless, and surgical resections directed at structures with limited neuroplasticity can lead incapacitating impairments. Yet, maximizing glioma offers substantial oncological benefits, especially when resection extends beyond tumour margins (i.e. supra-tumour or supratotal resection). In this context, objective study was identify which cerebral were associated less favourable cognitive outcomes after surgery, while accounting intra-tumour resections. To achieve objective, we leveraged unique cohort 400 patients who underwent surgery awake mapping. Patients benefitted from neuropsychological assessment consisting 18 subtests administered before 3 months surgery. We analysed changes performance applied topography-focused disconnection-focused multivariate lesion-symptom mapping using support vector regressions, an attempt capture resected cortico-subcortical amenable full compensation. The observed magnitude, suggesting overall recovery (13 tasks recovered fully despite mean extent 92.4%). Nevertheless, analyses revealed lack picture naming linked damage left inferior temporal gyrus longitudinal fasciculus. Likewise, semantic fluency abilities, association established precuneus/posterior cingulate. For phonological dorsomedial frontal cortex aslant tract implicated. Moreover, difficulties spatial exploration injury right prefrontal connectivity. An exploratory analysis suggested pronounced following specific patterns, such as uncinate fasciculus (picture naming), corticostriatal anterior corpus callosum (phonological fluency), hippocampus parahippocampus (episodic memory) frontal-mesial areas (visuospatial exploration). Collectively, these patterns results shed new light on both low-resilient neural systems prediction Furthermore, they indicate only occasionally well tolerated viewpoint. doing so, have deep implications planning rehabilitation strategies.

Language: Английский

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Stroke lesion size – Still a useful biomarker for stroke severity and outcome in times of high-dimensional models

NeuroImage Clinical, Journal Year: 2023, Volume and Issue: 40, P. 103511 - 103511

Published: Jan. 1, 2023

The volumetric size of a brain lesion is frequently used stroke biomarker. It stands out among most imaging biomarkers for being one-dimensional variable that applicable in simple statistical models. In times machine learning algorithms, the question arises whether such still useful, or high-dimensional models on spatial information are superior. We included 753 first-ever anterior circulation ischemic patients (age 68.4±15.2 years; NIHSS at 24h 4.4±5.1; modified Rankin Scale (mRS) 3-months median[IQR] 1[0.75;3]) and traced lesions diffusion-weighted MRI. an out-of-sample model validation scheme, we predicted severity as measured by functional outcome mRS 3 months either from features size. For severity, best regression based performed significantly above chance (p<0.0001) with R2 = 0.322, but better 0.363 (t(752) 2.889; p=0.004). outcome, classification again accuracy 62.8%, which was not different (62.6%, p=0.80). With smaller training data sets only 150 50 patients, performance decreased up to point equivalent even inferior trained combination one did improve predictions. Lesion decent biomarker slightly particularly suited studies small samples. When low-dimensional desired, provides viable proxy features, whereas high-precision prediction personalised prognostic medicine should operate large

Language: Английский

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Lesion Network Mapping for Neurological Deficit in Acute Ischemic Stroke

Annals of Neurology, Journal Year: 2023, Volume and Issue: 94(3), P. 572 - 584

Published: June 14, 2023

To create a comprehensive map of strategic lesion network localizations for neurological deficits, and identify prognostic neuroimaging biomarkers to facilitate the early detection patients with high risk poor functional outcomes in acute ischemic stroke (AIS).In large-scale multicenter study 7,807 AIS, we performed voxel-based lesion-symptom mapping, disconnection mapping (FDC), structural (SDC) distinct National Institutes Health Stroke Scale (NIHSS) score. Impact scores were calculated based on odds ratios or t-values voxels from FDC, SDC results. Ordinal regression models used investigate predictive value impact outcome (defined as modified Rankin score at 3 months).We constructed lesion, maps each item NIHSS score, which provided insights into neuroanatomical substrate localization function deficits after AIS. The limb ataxia, deficit, FDC sensation dysarthria significantly associated months. Adding total improved performance predicting outcomes, compared using alone.We that These results may provide specifically localized targets future neuromodulation therapies. ANN NEUROL 2023;94:572-584.

Language: Английский

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1,25-D3 ameliorates ischemic brain injury by alleviating endoplasmic reticulum stress and ferroptosis: Involvement of vitamin D receptor and p53 signaling

Cellular Signalling, Journal Year: 2024, Volume and Issue: 122, P. 111331 - 111331

Published: July 31, 2024

Language: Английский

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Mapping lesion, structural disconnection, and functional disconnection to symptoms in semantic aphasia

Brain Structure and Function, Journal Year: 2022, Volume and Issue: 227(9), P. 3043 - 3061

Published: July 4, 2022

Abstract Patients with semantic aphasia have impaired control of retrieval, often accompanied by executive dysfunction following left hemisphere stroke. Many but not all these patients damage to the inferior frontal gyrus, important for and cognitive control. Yet networks are highly distributed, including posterior as well anterior components. Accordingly, might only reflect local also white matter structural functional disconnection. Here, we characterise lesions predicted patterns disconnection in individuals relate effects impairment. Impaired cognition was associated infarction distributed left-hemisphere regions, temporal cortex. Lesions were within a set adjacent distinct frontoparietal clusters. Performance on tasks interhemispheric across corpus callosum. In contrast, poor small left-lateralized structurally disconnected clusters, Little insight gained from symptom mapping. These results demonstrate that while regions damaged together stroke aphasia, deficits disconnection, consistent bilateral nature yet network.

Language: Английский

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Lesion mapping in neuropsychological research: A practical and conceptual guide

Cortex, Journal Year: 2023, Volume and Issue: 170, P. 38 - 52

Published: Oct. 20, 2023

Language: Английский

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Neuroimaging of neuropsychological disturbances following ischaemic stroke (CONNECT): a prospective cohort study protocol

BMJ Open, Journal Year: 2024, Volume and Issue: 14(1), P. e077799 - e077799

Published: Jan. 1, 2024

Introduction Neuropsychiatric distubance is a common clinical manifestation in acute ischemic stroke. However, it frequently overlooked by clinicians. This study aimed to explore the possible aetiology and pathogenesis of neuropsychiatric disturbances following ischaemic stroke (NDIS) from an anatomical functional perspective with help neuroimaging methods. Method analysis CONNECT prospective cohort its outcome NDIS. We aim enrol minimum 300 individuals first-ever The neuropsychological involved this include depression, anxiety disorder, headache, apathy, insomnia, fatigue cognitive impairment. Using scales that have been shown be effective assessing above symptoms, NDIS evaluation battery requires at least 2 hours baseline. Moreover, all patients will required complete years follow-up, during which re-evaluated 3 months, 12 months 24 telephone 6 outpatient interview after index primary our incidence 6-month mark. Secondary outcomes are related severity as well rehabilitation patients. Functional imaging performed baseline follow-up using specific sequences including resting-state MRI, diffusion tensor imaging, T1-weighted T2-weighted diffusion-weighted arterial spin labelling, quantitative susceptibility mapping fluid-attenuated inversion recovery imaging. In addition, we collect haematological information potential biological genetic markers through histological analysis. Ethics dissemination Study was approved Review Committee First Hospital University Science Technology China (2021-ky012) written informed consent obtained participants. Results disseminated via peer-reviewed journal. Trial registration number ChiCTR2100043886.

Language: Английский

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Effectively capturing memory deficits: New advances in the use of the In-out-Test for cognitive Test post-stroke

Applied Neuropsychology Adult, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 9

Published: Jan. 17, 2025

This study evaluated the reliability and validity of In-Out-Test for detecting episodic memory deficits in stroke patients explored its potential as a clinical test. A total 75 120 healthy controls underwent tests, including Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Picture-Based Memory Impairment Screen (PMIS), In-Out-Test. Reliability metrics (Cronbach's α, inter-scorer reliability, test-retest reliability), criterion validity, corrected item-total correlation, hierarchical regression analysis ROC curve were performed to determine sensitivity specificity Stroke scored lower across all tests (p < 0.001), with largest difference (d = 0.99). The correlated strongly other cognitive (r 0.79-0.85 patients; r 0.66-0.78 controls). It explained an additional 4.5% variance MoCA-MIS scores 0.001). was high α 0.835; inter-rater ICCs 0.911-0.925; 0.764-0.802). showed AUC 0.747, 0.708 0.680 at cutoff 10.5. Preliminary findings indicated that impairments patients, warranting further validation larger cohorts.

Language: Английский

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Reward Decision Network Disconnection in Poststroke Apathy: A Prospective Multimodality Imaging Study

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(2)

Published: Jan. 21, 2025

ABSTRACT Apathy is a common neuropsychiatric symptom following stroke, characterized by reduced goal‐directed behavior. The reward decision network (RDN), which plays crucial role in regulating behaviors, closely associated with apathy. However, the relationship between poststroke apathy (PSA) and RDN dysfunction remains unclear due to heterogeneity, confounding effect of depression individual variability lesion impacts. This study aims dissect heterogeneity PSA explore link lesion‐induced damage PSA. We prospectively recruited 207 patients acute ischemic infarction 60 demographically matched healthy controls. Participants underwent neuroimaging longitudinal assessments. To characterize we employed multivariate analysis clustering algorithms based on whole‐brain functional connectivity clinical assessments classify into different biotypes. embedded each patient's structural connectome atlas obtain white matter (WM) disconnection maps. On this basis, WM scores were calculated for brain region quantify damage. XGBoost model predict biotypes scores, comparing performance models focusing RDN‐specific versus disconnection. Additionally, explored patterns across critical regions. identified four unique trajectories neurobiological underpinnings. Biotype 4 was persistent depressive symptoms. 2 showed 3 non‐apathetic. 1 exhibited delayed‐onset models, when focused disconnection, performed significantly better predicting compared ( t (164.66) = 8.871, p < 0.001). Analysis revealed that more extensive regions, had pattern anterior cingulate cortex (61) 1.874, 0.032), orbitofrontal (53)= 1.827, 0.036). dissected demonstrated factor variability. found disconnections can lead apathy, respectively. Furthermore, our findings not only has distinct pathogenic mechanisms, but also shares substrates depression.

Language: Английский

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