A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers DOI Creative Commons
Sofia Farina, Alessandro Cattabiani, Darshan Mandge

et al.

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

Published: Dec. 16, 2024

Abstract The high energetic demands of the brain arise primarily from neuronal activity. Neurons consume substantial energy to transmit information as electrical signals and maintain their resting membrane potential. These requirements are met by neuro-glial-vascular (NGV) ensemble, which generates in a coupled metabolic process. In ageing, function becomes impaired, producing less and, consequently, system is unable sustain needs. We propose multiscale model electro-metabolic coupling reconstructed rat neocortex. This combines an electro-morphologically electrophysiological with detailed NGV model. Our results demonstrate that large-scale effectively captures processes at circuit level, highlighting importance heterogeneity within circuit, where vary according characteristics. Finally, our indicates middle cortical layers particularly vulnerable impairment.

Language: Английский

Precision drug delivery to the central nervous system using engineered nanoparticles DOI
Jingjing Gao, Ziting Xia,

Swetharajan Gunasekar

et al.

Nature Reviews Materials, Journal Year: 2024, Volume and Issue: 9(8), P. 567 - 588

Published: June 25, 2024

Language: Английский

Citations

24
Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms DOI Creative Commons
Ahmed Faraz Khan, Yasser Iturria‐Medina

Translational Psychiatry, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 23, 2024

Language: Английский

Citations

4
Brain Metabolism in Health and Neurodegeneration: The Interplay Among Neurons and Astrocytes DOI Creative Commons
Polina Shichkova, Jay S. Coggan, Henry Markram

et al.

Cells, Journal Year: 2024, Volume and Issue: 13(20), P. 1714 - 1714

Published: Oct. 17, 2024

The regulation of energy in the brain has garnered substantial attention recent years due to its significant implications various disorders and aging. brain's metabolism is a dynamic tightly regulated network that balances demand supply by engaging complementary molecular pathways. crosstalk among these pathways enables system switch preferred fuel source based on substrate availability, activity levels, cell state-related factors such as redox balance. Brain production relies multi-cellular cooperation continuously supplied from blood limited internal stores. Astrocytes, which interface with neurons vessels, play crucial role coordinating metabolic activity, their dysfunction can have detrimental effects health. This review characterizes major substrates (glucose, lactate, glycogen, ketones lipids) astrocyte health, focusing developments field.

Language: Английский

Citations

4
Use of Artificial Intelligence in Imaging Dementia DOI Creative Commons

Manal Aljuhani,

Azhaar Ashraf, Paul Edison

et al.

Cells, Journal Year: 2024, Volume and Issue: 13(23), P. 1965 - 1965

Published: Nov. 27, 2024

Alzheimer’s disease is the most common cause of dementia in elderly population (aged 65 years and over), followed by vascular dementia, Lewy body rare types neurodegenerative diseases, including frontotemporal dementia. There an unmet need to improve diagnosis prognosis for patients with as cycles misdiagnosis diagnostic delays are challenging scenarios diseases. Neuroimaging routinely used clinical practice support Clinical neuroimaging amenable errors owing varying human judgement imaging data complex multidimensional. Artificial intelligence algorithms (machine learning deep learning) enable automation interpretation may reduce potential bias ameliorate decision-making. Graph convolutional network-based frameworks implicitly provide multimodal sparse interpretability detection its prodromal stage, mild cognitive impairment. In amyloid-related abnormalities, radiologists had significantly better performances both ARIA-E (sensitivity higher assisted/deep method [87%] compared unassisted [71%]) ARIA-H signs was assisted [79%] [69%]). A neural network developed, external validation predicted final diagnoses disease, bodies, impairment due or cognitively normal FDG-PET. The translation artificial plagued technical, disease-related, institutional challenges. implementation methods has transform treatment landscape patient health outcomes.

Language: Английский

Citations

2
Gray matter volume alterations in de novo Parkinson's disease: A mediational role in the interplay between sleep quality and anxiety DOI Creative Commons
Guixiang He, Xiaofang Huang,

Haihua Sun

et al.

CNS Neuroscience & Therapeutics, Journal Year: 2024, Volume and Issue: 30(7)

Published: July 1, 2024

Abstract Objective Parkinson's disease (PD) is increasingly recognized for its non‐motor symptoms, among which emotional disturbances and sleep disorders frequently co‐occur. The commonality of neuroanatomical underpinnings these symptoms not fully understood. This study intended to investigate the differences in gray matter volume (GMV) between PD patients with anxiety (A‐PD) those without (NA‐PD). Additionally, it seeks uncover interplay GMV variations manifestations quality. Methods A total 37 A‐PD patients, 43 NA‐PD 36 healthy controls (HCs) were recruited, all whom underwent voxel‐based morphometry (VBM) analysis. Group assessed using analysis covariance (ANCOVA). Partial correlation GMV, symptom, quality analyzed. Mediation explored mediating role GMV‐distinct brain regions on relationship within patient cohort. Results showed significantly lower fusiform gyrus (FG) right inferior temporal (ITG) compared HCs patients. correlated negatively Hamilton Anxiety Rating Scale (HAMA) scores (right ITG: r = −0.690, p < 0.001; left FG: −0.509, −0.576, 0.001) positively 0.592, 0.356, 0.470, 0.001). revealed that FG ITG mediated substantial effect sizes accounted by (25.74%) (left: 11.90%, right: 15.59%). Conclusion has shed further light Given pivotal roles facial recognition emotion‐related expressions, our findings indicate compromised quality, under pathological conditions PD, may exacerbate reduction regions, impairing expressions thereby intensifying symptoms.

Language: Английский

Citations

1
Ageing-related changes in the regulation of microglia and their interaction with neurons DOI
Rommy von Bernhardi, Jaime Eugenı́n

Neuropharmacology, Journal Year: 2024, Volume and Issue: unknown, P. 110241 - 110241

Published: Nov. 1, 2024

Language: Английский

Citations

0
A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers DOI Creative Commons
Sofia Farina, Alessandro Cattabiani, Darshan Mandge

et al.

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

Published: Dec. 16, 2024

Abstract The high energetic demands of the brain arise primarily from neuronal activity. Neurons consume substantial energy to transmit information as electrical signals and maintain their resting membrane potential. These requirements are met by neuro-glial-vascular (NGV) ensemble, which generates in a coupled metabolic process. In ageing, function becomes impaired, producing less and, consequently, system is unable sustain needs. We propose multiscale model electro-metabolic coupling reconstructed rat neocortex. This combines an electro-morphologically electrophysiological with detailed NGV model. Our results demonstrate that large-scale effectively captures processes at circuit level, highlighting importance heterogeneity within circuit, where vary according characteristics. Finally, our indicates middle cortical layers particularly vulnerable impairment.

Language: Английский

Citations

0