Multimodal measures of spontaneous brain activity reveals both common and divergent patterns of cortical functional organization DOI Open Access
Hadi Vafaii, Francesca Mandino, Gabriel Desrosiers-Grégoire

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Dec. 15, 2022

Abstract Work in humans and animals shows that the brain can be decomposed into large-scale functional networks. Whereas most studies, especially humans, use blood-oxygenation-level-dependent (BOLD) signal, relationship between BOLD neuronal activity is complex incompletely understood. This limits our ability to interpret apply measures derived from fMRI-BOLD. Here, we employ wide-field Ca 2+ imaging simultaneously recorded with fMRI-BOLD highly-sampled mice expressing GCaMP6f excitatory neurons. These unique data enabled us characterize similarities differences networks discoverable by each modality. Importantly, applied a network partitioning approach uses mixed-membership algorithm, which allows regions participate multiple varying strengths. contrasts assuming belong only one network. Our findings demonstrate (1) are detected via signals. (2) There considerable overlapping—as opposed disjoint—network organization evident both modalities. (3) Large-scale determined signals at low temporal frequencies (0.01 – 0.5 Hz )—as higher (0.5 5 )—are more similar those BOLD. (4) Despite many similarities, emerge across modes including spatial distribution of membership diversity (the extent affiliate networks). In sum, neurons confirms mouse cortex functionally organized overlapping manner reflects many, but not all, properties observable simultaneous fMRI-BOLD; affirming neural origins patterns clinically accessible neuroimaging

Language: Английский

Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization DOI Creative Commons
Hadi Vafaii, Francesca Mandino, Gabriel Desrosiers-Grégoire

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 3, 2024

Abstract Large-scale functional networks have been characterized in both rodent and human brains, typically by analyzing fMRI-BOLD signals. However, the relationship between underlying neural activity is complex incompletely understood, which poses challenges to interpreting network organization obtained using this technique. Additionally, most work has assumed a disjoint (i.e., brain regions belong one only network). Here, we employ wide-field Ca 2+ imaging simultaneously with mice expressing GCaMP6f excitatory neurons. We determine cortical discovered each modality mixed-membership algorithm test hypothesis that exhibit overlapping organization. find there considerable overlap (both modalities) addition Our results show multiple BOLD are detected via signals, determined low-frequency signals modestly more similar networks. In addition, principal gradient of connectivity nearly identical for Despite similarities, important differences also across modalities, such as measures strength diversity. conclusion, uncovers mouse reflects several, but not all, properties observed

Language: Английский

Citations

20
PTEN mutations impair CSF dynamics and cortical networks by dysregulating periventricular neural progenitors DOI
Tyrone DeSpenza,

Emre Kiziltug,

Garrett Allington

et al.

Nature Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Language: Английский

Citations

2
Multiplexed subspaces route neural activity across brain-wide networks DOI Creative Commons
Camden J. MacDowell, Alexandra Libby, Caroline I. Jahn

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 9, 2025

Language: Английский

Citations

0
Multimodal identification of the mouse brain using simultaneous Ca2+ imaging and fMRI DOI Creative Commons
Francesca Mandino, Corey Horien, Xilin Shen

et al.

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: April 26, 2025

Individual differences in neuroimaging are of interest to clinical and cognitive neuroscientists based on their potential for guiding the personalized treatment various heterogeneous neurological conditions diseases. Despite many advantages, prevailing modality this field-blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI)-suffers from low spatiotemporal resolution specificity as well a propensity noise spurious signal corruption. To better understand individual BOLD-fMRI data, we can use animal models where fMRI, alongside complementary but more invasive contrasts, be accessed. Here, apply simultaneous wide-field fluorescence calcium mice interrogate using connectome-based identification framework adopted human fMRI literature. This approach yields high cell-type specific signals (here, glia, excitatory, inhibitory interneurons) whole cortex. We found mouse multimodal successful explored features these data.

Language: Английский

Citations

0
Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator DOI Creative Commons
Francesca Mandino, Xilin Shen, Gabriel Desrosiers-Grégoire

et al.

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 18, 2024

Amyloid accumulation in Alzheimer's disease (AD) is associated with synaptic damage and altered connectivity brain networks. While measures of amyloid biochemical changes mouse models have utility for translational studies certain therapeutics, preclinical analysis using clinically relevant fMRI has not been well developed agents intended to improve neural Here, we conduct a longitudinal study double knock-in model AD (AppNL-G-F/hMapt), monitoring by means resting-state fMRI. the 4-month-old mice are indistinguishable from wild-type controls (WT), decreased default-mode network significant relative WT 6 months age pronounced 9 age. In second cohort 20-month-old persistent functional deficits WT, assess impact two-months oral treatment silent allosteric modulator mGluR5 (BMS-984923/ALX001) known rescue density. Functional aged reversed mGluR5-directed treatment. The application enabled us define time trajectory AD-related connectivity, demonstrate translatable metric emergence, progression, response synapse-rescuing

Language: Английский

Citations

3
Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization DOI Creative Commons
Hadi Vafaii, Francesca Mandino, Gabriel Desrosiers-Grégoire

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: April 26, 2023

Abstract Large-scale functional networks have been characterized in both rodent and human brains, typically by analyzing fMRI-BOLD signals. However, the relationship between underlying neural activity is complex incompletely understood, which poses challenges to interpreting network organization obtained using this technique. Additionally, most work has assumed a disjoint (i.e., brain regions belong one only network). Here, we employed wide-field Ca 2+ imaging simultaneously with mice expressing GCaMP6f excitatory neurons. We determined cortical discovered each modality mixed-membership algorithm test hypothesis that are overlapping rather than disjoint. Our results show multiple BOLD detected via signals; there considerable overlap (both modalities); low-frequency signals modestly more similar networks; and, despite similarities, important differences across modalities (e.g., region “network diversity”). In conclusion, uncovered mouse reflected several, but not all, properties observed

Language: Английский

Citations

6
Repetitive mild closed-head injury induced synapse loss and increased local BOLD-fMRI signal homogeneity DOI
Marija Markicevic, Francesca Mandino, Takuya Toyonaga

et al.

Journal of Neurotrauma, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 3, 2024

Repeated mild head injuries due to sports, or domestic violence and military service are increasingly linked debilitating symptoms in the long term. Although may take decades manifest, potentially treatable neurobiological alterations must begin shortly after injury. Better means diagnose treat traumatic brain requires an improved understanding of mechanisms underlying progression through which they can be measured. Here, we employ a repetitive injury (rmTBI) chronic variable stress mouse model investigate emergent structural functional abnormalities. Brain imaging is achieved with [

Language: Английский

Citations

1
Multimodal identification of the mouse brain using simultaneous Ca2+imaging and fMRI DOI Creative Commons
Francesca Mandino, Corey Horien, Xilin Shen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 26, 2024

Individual differences in neuroimaging are of interest to clinical and cognitive neuroscientists based on their potential for guiding the personalized treatment various heterogeneous neurological conditions diseases. Despite many advantages, workhorse this arena, BOLD (blood-oxygen-level-dependent) functional magnetic resonance imaging (fMRI) suffers from low spatiotemporal resolution specificity as well a propensity noise spurious signal corruption. To better understand individual BOLD-fMRI data, we can use animal models where fMRI, alongside complementary but more invasive contrasts, be accessed. Here, apply simultaneous wide-field fluorescence calcium mice interrogate using connectome-based identification framework adopted human fMRI literature. This approach yields high cell-type specific signals (here, glia, excitatory, inhibitory interneurons) whole cortex. We found mouse multimodal successful explored features these data.

Language: Английский

Citations

1
Spatiotemporal features of neurovascular (un)coupling with stimulus-induced activity and hypercapnia challenge in cerebral cortex and olfactory bulb DOI
Shaun James,

Simon Sanggaard,

Adil Akif

et al.

Journal of Cerebral Blood Flow & Metabolism, Journal Year: 2023, Volume and Issue: 43(11), P. 1891 - 1904

Published: June 21, 2023

Carbon dioxide (CO 2 ) is traditionally considered as metabolic waste, yet its regulation critical for brain function. It well accepted that hypercapnia initiates vasodilation, but effect on neuronal activity less clear. Distinguishing how stimulus- and CO -induced vasodilatory responses are (dis)associated with has profound clinical experimental relevance. We used an optical method in mice to simultaneously image fluorescent calcium (Ca 2+ transients from neurons reflectometric hemodynamic signals during brief sensory stimuli (i.e., hindpaw, odor) exposure 5%). Stimuli-induced swiftly increased within locally activated regions exhibiting robust neurovascular coupling. However, produced slower global vasodilation which was temporally uncoupled deactivation. With trends consistent across cerebral cortex olfactory bulb data GCaMP6f/jRGECO1a green/red Ca fluorescence), these results unequivocally reveal generate comparable contrasting responses. In summary, observations of stimuli-induced regional coupling uncoupling call careful appraisal when using gas mixtures affect vascular tone and/or excitability, because both a potent vasomodulator neuromodulator.

Language: Английский

Citations

2
Repetitive mild closed-head injury induced synapse loss and increased local BOLD-fMRI signal homogeneity DOI Creative Commons
Marija Markicevic, Francesca Mandino, Takuya Toyonaga

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 27, 2024

Repeated mild head injuries due to sports, or domestic violence and military service are increasingly linked debilitating symptoms in the long term. Although may take decades manifest, potentially treatable neurobiological alterations must begin shortly after injury. Better means diagnose treat traumatic brain injuries, requires an improved understanding of mechanisms underlying progression through which they can be measured. Here, we employ a repetitive closed-head injury (rmTBI) chronic variable stress (CVS) mouse model investigate emergent structural functional abnormalities. Brain imaging is achieved with [

Language: Английский

Citations

0