Biology subjects

Filali, Y.

Publications and source records attributed to Filali, Y..

3 recordsLinked to original sources

bioRxiv2024

Peripheral CGRP engages brain-wide electrical network activity of migraine

BackgroundMigraine is a disorder of severe, recurrent headaches and debilitating sensory, cognitive and affective symptoms, often triggered by stress. Early life stress in childhood has been shown to increase the likelihood of migraine in adulthood in humans. Calcitonin-gene relate peptide (CGRP) has been shown to reliably and acutely induce migraine or migraine-like behavior in both humans and rodent models. Here we investigate the impact of early life stress and CGRP on migraine-related neural circuitry, as well as the impact of early life stress on CGRP-mediated migraine-like activity in order to better understand the mechanisms by which early life stress predisposes neural circuitry to migraine brain activity. MethodsWe implemented an early life stress paradigm in the outbred strain of mice, CD1. We evaluated the impact of peripheral CGRP on migraine-like behavior and employed multi-site in vivo neurophysiology in freely behaving mice. A changepoint analysis was used to dissect differences in individual CGRP-induced responses. ResultsWe found that early life stress exacerbated migraine-related behavioral and network physiology. CGRP alone caused disruptions in neural oscillatory activity across a network of brain regions including the anterior cingulate cortex (ACC), amygdala (AMY), thalamus (Po, VPM, and MDthal), and parabrachial nucleus (PBN). We found that power across the network was lowered within 10 minutes of peripheral CGRP exposure, which was sustained for [~]40-50 min. Coherence was mostly disrupted in amygdalar brain region pairings, and took on a shorter timecourse, with partial rescue of these responses by migraine abortive, sumatriptan. We found that early life stress exacerbated most of these responses, especially AMY-thalamic coherence pairings, although early life stress in the absence of CGRP demonstrated no impact on the network overall. We further identified individual mice with brain-network activity hypersusceptible to migraine. ConclusionsOur findings demonstrate that early life stress confers vulnerability to migraine, simultaneously impacting behavior and brain network activity responses to peripheral CGRP.

neuroscience↗

bioRxiv2024

A widespread electrical brain network encodes anxiety in health and depressive states

In rodents, anxiety is characterized by heightened vigilance during low-threat and uncertain situations. Though activity in the frontal cortex and limbic system is fundamental to supporting this internal state, the underlying network architecture that integrates activity across brain regions to encode anxiety across animals and paradigms remains unclear. Here, we utilize parallel electrical recordings in freely behaving mice, multiple translational paradigms known to induce anxiety, and machine learning to discover a multi-region network that encodes the anxious brain state. The network is composed of circuits widely implicated in anxiety behavior, it generalizes across many behavioral contexts that induce anxiety, and it fails to encode multiple behavioral contexts that do not. Strikingly, the activity of this network is also principally altered in two mouse models of depression. Thus, we establish a network-level process whereby the brain encodes anxiety in health and disease.

neuroscience↗

bioRxiv2023

Transcriptomic Evaluation of Stress Vulnerability Network using Single Cell RNA-Seq in mouse Prefrontal Cortex

Increased vulnerability to stress is a major risk factor for the manifestation of several mood disorders, including major depressive disorder (MDD). Despite the status of MDD as a significant donor to global disability, the complex integration of genetic and environmental factors that contribute to the behavioral display of such disorders has made a thorough understanding of related etiology elusive. Recent developments suggest that a brain-wide network approach is needed, taking into account the complex interplay of cell types spanning multiple brain regions. Single cell RNA-sequencing technologies can provide transcriptomic profiling at the single-cell level across heterogenous samples. Furthermore, we have previously used local field potential oscillations and machine learning to identify an electrical brain network that is indicative of a predisposed vulnerability state. Thus, this study combined single cell RNA-sequencing (scRNA-Seq) with electrical brain network measures of the stress-vulnerable state, providing a unique opportunity to access the relationship between stress network activity and transcriptomic changes within individual cell types. We found especially high numbers of differentially expressed genes between animals with high and low stress vulnerability brain network activity in astrocytes and glutamatergic neurons but we estimated that vulnerability network activity depends most on GABAergic neurons. High vulnerability network activity included upregulation of microglia and mitochondrial and metabolic pathways, while lower vulnerability involved synaptic regulation. Genes that were differentially regulated with vulnerability network activity significantly overlapped with genes identified as having significant SNPs by human GWAS for depression. Taken together, these data provide the gene expression architecture of a previously uncharacterized stress vulnerability brain state, enabling new understanding and intervention of predisposition to stress susceptibility. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=91 SRC="FIGDIR/small/540705v2_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@1ebe036org.highwire.dtl.DTLVardef@cd2131org.highwire.dtl.DTLVardef@13e3519org.highwire.dtl.DTLVardef@1100e62_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗