Biology subjects

Hamann, S.

Publications and source records attributed to Hamann, S..

4 recordsLinked to original sources

bioRxiv2026

An in vivo model of Amyloid-Related Imaging Abnormalities (ARIA) predicts ARIA incidence of anti-Aβ antibodies seen in clinical trials

Amyloid-related imaging abnormality (ARIA) is the most common adverse event associated with amyloid-beta (A{beta}) immunotherapy. The neuropathology underlying active ARIA lesions has been studied in only a few rare fatal cases. A faithful translational model of ARIA should allow a better understanding of pathogenic mechanisms and enable development of mitigation strategies. Since bapineuzumab induced the most frequent and severe forms of ARIA in humans, we assessed the ability of its murine precursor, 3D6, to induce ARIA-like lesions by applying clinically-validated MRI sequences in a mouse model with extensive amyloid deposition. Using this paradigm we documented ARIA-like changes based on their imaging features, location, and temporal evolution and established postmortem histopathologic correlates. We observed that ARIA-like lesions were ubiquitously induced with 3D6, including T2-hyperintense leptomeningeal effusions, T2-hyperintense parenchymal lesions and T2* hypointense parenchymal lesions. Histological assays demonstrated meningovascular inflammation as well as vascular mural permeation and microvascular lesions, including microhemorrhages and microinfarcts. Compared to 3D6-treated mice, animals treated with mouse analogues of aducanumab and gantenerumab showed less frequent radiologic and histopathologic ARIA-like lesions with delayed onset. Our results align well with the differential incidence of ARIA observed in humans treated with different anti-A{beta} antibodies. Collectively, our studies demonstrate that: i) anti-A{beta} antibodies chronically administered to 5xFAD mice can induce MRI lesions reminiscent of human ARIA; ii) this paradigm allows identification of transient lesions other than microhemorrhages, and (iii) the incidence and severity of ARIA-like lesions induced with three clinically tested antibodies faithfully recapitulates that seen in humans. One Sentence SummaryMRI and histological correlation in a preclinical ARIA mouse model treated with anti-A{beta} antibodies that recapitulates results seen in humans.

neuroscience↗

bioRxiv2024

Human single-neuron activity is modulated by intracranial theta burst stimulation of the basolateral amygdala

Direct electrical stimulation of the human brain has been used for numerous clinical and scientific applications. At present, however, little is known about how intracranial stimulation affects activity at the microscale. In this study, we recorded intracranial EEG data from a cohort of patients with medically refractory epilepsy as they completed a visual recognition memory task. During the memory task, brief trains of intracranial theta burst stimulation (TBS) were delivered to the basolateral amygdala (BLA). Using simultaneous microelectrode recordings, we isolated neurons in the hippocampus, amygdala, orbitofrontal cortex, and anterior cingulate cortex and tested whether stimulation enhanced or suppressed firing rates. Additionally, we characterized the properties of modulated neurons, clustered presumed excitatory and inhibitory neurons by waveform morphology, and examined the extent to which modulation affected memory task performance. We observed a subset of neurons ([~]30%) whose firing rate was modulated by TBS, exhibiting highly heterogeneous responses with respect to onset latency, duration, and direction of effect. Notably, location and baseline activity predicted which neurons were most susceptible to modulation, although the impact of this neuronal modulation on memory remains unclear. These findings advance our limited understanding of how focal electrical fields influence neuronal firing at the single-cell level. HighlightsIndividual neurons in the human brain were responsive to theta burst stimulation Basolateral amygdala stimulation preferentially modulated neurons in the hippocampus, orbitofrontal cortex, and amygdala Excitatory and inhibitory neurons were modulated equally Neurons modulated by stimulation tended to have greater baseline firing rates Duration, onset, and valence of neuronal modulation were heterogeneous

neuroscience↗

bioRxiv2017

Progressive reconfiguration of resting-state brain networks as psychosis develops: Preliminary results from the North American Prodrome Longitudinal Study (NAPLS) consortium

Mounting evidence has shown disrupted brain network architecture across the psychosis spectrum. However, whether these changes relate to the development of psychosis is unclear. Here, we used graph theoretical analysis to investigate longitudinal changes in resting-state brain networks in samples of 72 subjects at clinical high risk (including 8 cases who converted to full psychosis) and 48 healthy controls drawn from the North American Prodrome Longitudinal Study (NAPLS) consortium. We observed progressive reduction in global efficiency (P = 0.006) and increase in network diversity (P = 0.001) in converters compared with non-converters and controls. More refined analysis separating nodes into nine key brain networks demonstrated that these alterations were primarily driven by progressively diminished local efficiency in the default-mode network (P = 0.004) and progressively enhanced node diversity across all networks (P < 0.05). The change rates of network efficiency and network diversity were significantly correlated (P = 0.003), suggesting these changes may reflect shared underlying neural mechanisms. In addition, change rates of global efficiency and node diversity were significantly correlated with change rate of cortical thinning in the prefrontal cortex in converters (P < 0.03) and could be predicted by visuospatial memory scores at baseline (P < 0.04). These results provide preliminary evidence for longitudinal reconfiguration of resting-state brain networks during psychosis development and suggest that decreased network efficiency, reflecting an increase in path length between nodes, and increased network diversity, reflecting a decrease in the consistency of functional network organization, are implicated in the progression to full psychosis.

neuroscience↗

bioRxiv2017

Toward leveraging big data in human functional connectomics: Generalization of brain graphs across scanners, sessions, and paradigms

While graph theoretical modeling has dramatically advanced our understanding of complex brain systems, the feasibility of aggregating brain graphic data in large imaging consortia remains unclear. Here, using a battery of cognitive, emotional and resting fMRI paradigms, we investigated the reproducibility of functional connectomic measures across multiple sites and sessions. Our results revealed overall fair to excellent reliability for a majority of measures during both rest and tasks, in particular for those quantifying connectivity strength, network segregation and network integration. Higher reliabilities were detected for cognitive tasks (vs rest) and for weighted networks (vs binary networks). While network diagnostics for several primary functional systems were consistently reliable independently of paradigm, those for cognitive-emotional systems were reliable predominantly when challenged by task. Different data aggregation approaches yielded significantly different reliability. In addition, we showed that after accounting for observed reliability, satisfactory statistical power can be achieved in the multisite context with a total sample size of approximately 250 when the effect size is at least moderate. Our findings provide direct evidence for the generalizability of brain graphs for both resting and task paradigms in large consortia and encourage the use of multisite, multisession scans to enhance power for human functional connectomic studies.

neuroscience↗