Biology subjects

Jauhar, S.

Publications and source records attributed to Jauhar, S..

3 recordsLinked to original sources

bioRxiv2026

Neurite Complexity and Plasticity Markers Track Synaptic Vesicle Density in the Living Human Brain: A Multimodal PET-MRI-EEG Study

Neuroplasticity, the brain's capacity to reorganise its structure and function, is a transdiagnostic feature across psychiatric and neurodegenerative diseases and a putative mechanism of action for pharmacological interventions. [11C]-UCBJ positron emission tomography (PET), which quantifies synaptic vesicle glycoprotein 2A (SV2A) density, offers the most direct in vivo measure of human synaptic density, but its relationship to complementary, more scalable neuroimaging measures of structural and functional plasticity remains uncharacterised. We combined [11C]-UCBJ PET, diffusion weighted imaging (DWI/NODDI), resting-state functional magnetic resonance imaging (rs-fMRI), and electroencephalography (EEG)-based sensory tasks (roving mismatch negativity, MMN; visual long-term potentiation, vLTP) in 18 healthy volunteers to test the relationship between synaptic terminal SV2A density and complementary structural and functional neuroplasticity measures, and whether these relationships were reproducible following pharmacological challenge with ketamine (n = 11) or N,N-dimethyltryptamine (DMT; n = 7). There were no statistically significant differences in PET-derived SV2A binding potential (BPND), DWI-derived neurite orientation dispersion (ODI) and structural weighted degree (SWD), EEG-derived MMN repetition suppression, and late-phase vLTP P2 potentiation, 1 to 8 days following DMT and ketamine exposure compared to baseline. BPND was coupled with ODI across cortical regions before and after pharmacological challenge, and this relationship was tighter within visual, attentional, and frontoparietal control brain networks. SWD showed a weaker, more spatially restricted association with BPND, primarily in regions belonging to the limbic and visual brain networks, but was not replicated post-drug. No consistent association was found between BPND and functional weighted degree (FWD), derived from rs-fMRI, at baseline or after pharmacological challenge. Frontotemporal BPND was positively associated with MMN repetition suppression (r = 0.61), and occipital BPND with late-phase vLTP P2 potentiation (r = 0.54), with the MMN-BPND association replicating after pharmacological challenge (r = 0.49). These findings link synaptic terminal SV2A density in the living human brain to neurite architecture and the capacity for short-term and Hebbian-like long-term synaptic plasticity, while dissociating these relationships from generic functional connectivity and magnitude of sensory-evoked responses. These data provide cross-modal validation for DWI- and EEG-derived measures as biological indices and surrogate measures of human synaptic plasticity.

neuroscience↗

bioRxiv2022

Digital data repository and automatic analysis framework for FDOPA PET neuroimaging

IntroductionFDOPA PET has been used extensively to image the human brain in many clinical disorders and has the potential to be used for patient stratification and individualized treatment. However, to reach its full and effective clinical translation, FDOPA PET requires both a robust data infrastructure and analytical protocol that are capable of ensuring high quality data and metadata, accurate biological quantification, and replicable results. In this study we evaluate a digital data repository and automated analytical framework for FDOPA PET neuroimaging that can produce an individualised quantification of dopamine synthesis capacity in the living human brain. MethodsThe imaging platform XNAT was used to store the Kings College London institutional brain FDOPA PET imaging archive, alongside individual demographics and clinical information. A fully automated analysis pipeline for imaging processing and data quantification was developed in Python and integrated in XNAT using the Docker technology. Reproducibility was assessed in test-retest datasets both in controls and patients with psychosis. The agreement between the automated analysis estimates and the results derived by the manual analysis were compared. Finally, using a sample of healthy controls (N=115), a sensitivity analysis was performed to explore the impact of experimental and demographic variables on the FDOPA PET measures. ResultsThe final data repository includes 892 FDOPA PET scans organized from 23 different studies, collected at five different imaging sites. After removing commercials studies, the infrastructure consisted of 792 FDOPA PET scans from 666 individuals (female 33.9%, healthy controls 29.1%) collected from four different imaging sites between 2004-2021. The automated analysis pipeline provided results that were in agreement with the results from the manual analysis, with a Pearsons correlation that ranged from 0.64 to 0.99 for Kicer, and from 0.79 to 1.00 for SUVR. The mean absolute difference between the two pipelines ranges from 3.4% to 9.4% for Kicer, and from 2.5% to 12.4% for SUVR. Moreover, we found good reproducibility of the data analysis by the automated pipeline (in the whole striatum for the Kicer: ICC for the controls = 0.71, ICC for the psychotic patients = 0.88). From the demographic and experimental variables assessed, gender was found to most influence striatal dopamine synthesis capacity (F = 10.7, p <0.001), with women showing greater dopamine synthesis capacity than men, while the effects of weight, age, injected radioactivity, and scanner, varied by brain region and parameter of interest. ConclusionsCombining information from different neuroimaging studies has allowed us to test comprehensively the automated pipeline for quantification of dopamine synthesis capacity using FDOPA PET data and to validate its replicability and reproducibility performances on a large sample size. This validation process is a necessary methodological step for the development of the clinical application of FDOPA PET as precision medicine biomarker. The proposed infrastructure is generalisable behind the FDOPA radiotracer.

bioengineering↗

bioRxiv2017

The Effect Of Perinatal Brain Injury On Dopaminergic Function And Hippocampal Volume In Adult Life

BackgroundVery preterm birth (<32 weeks of gestation) is associated with long-lasting brain alterations and an increased risk of psychiatric disorders associated with dopaminergic abnormalities. Preclinical studies have shown perinatal brain injuries, including hippocampal lesions, cause lasting changes in dopamine function, but it is not known if this occurs in humans. The purpose of this study was to determine whether very preterm birth and perinatal brain injury were associated with altered dopamine synthesis and reduced hippocampal volume in humans in adulthood.\n\nMethodsWe compared adults who were born very preterm with associated perinatal brain injury to adults born very preterm without perinatal brain injury, and age-matched controls born at full term using [18F]-DOPA PET and structural MRI imaging.\n\nResultsDopamine synthesis capacity was significantly reduced in the perinatal brain injury group relative to both the group born very preterm without brain injury (Cohens d=1.36, p=0.02) and the control group (Cohens d=1.07, p=0.01). Hippocampal volume was reduced in the perinatal brain injury group relative to controls (Cohens d = 1.17, p = 0.01). There was a significant correlation between hippocampal volume and striatal dopamine synthesis capacity (r = 0.344, p= 0.03).\n\nConclusionsPerinatal brain injury, but not very preterm birth without macroscopic brain injury, is associated with persistent alterations in dopaminergic function and reductions in hippocampal volume. This is the first evidence in humans linking neonatal hippocampal injury to adult dopamine dysfunction, and has implications for understanding the mechanism underlying cognitive impairments and neuropsychiatric disorders following very preterm birth.

neuroscience↗