Synaptic micromechanics and brain softening as a mechanobiological hypothesis for Alzheimer’s disease
Open accessAbstract
Alzheimer’s disease (AD) is usually framed as a proteinopathy and network disorder, but this view may be incomplete. We propose a mechanobiological hypothesis in which synaptic micromechanics, regional brain softening, vascular pulsatility, and glymphatic transport are parts of a coupled fluid–solid system whose failure contributes to AD progression. In this framework, early synaptic and glial mechanical fragility reduces the capacity of vulnerable circuits to maintain stable structure, efficient signaling, and waste clearance, while age-related tissue softening and impaired perivascular transport amplify amyloid and tau accumulation, network dysfunction, and cognitive decline. This framework integrates converging evidence from dendritic spine to glymphatic system biology, concordant results obtained with diffusion MRI and magnetic resonance elastography, and treats altered tissue mechanics not merely as a correlate of degeneration but as a potentially active multicomponent of disease expression. It further predicts that biomechanical alterations should be detectable before gross atrophy, should covary with glymphatic impairment, and may help explain why molecular pathology and clinical symptoms are often only partly aligned. By positioning brain mechanics as an interface between protein aggregation, synaptic dysfunction, and impaired clearance, this framework identifies testable imaging biomarkers and suggests potential early-stage intervention strategies aimed at preserving tissue resilience as well as reducing pathological protein burden.
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Diffusion MRI raised the possibility of sensing rapid changes in the intrinsic physical state of neural tissue itself.
“Diffusion MRI, therefore, raised the possibility of sensing rapid changes in the intrinsic physical state of neural tissue itself (Fig. 6) (Le Bihan, 2026).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan, 2026
Diffusion-based virtual MRE appears as an attractive, scalable noninvasive biomarker to investigate brain stiffness in the aging brain and for longitudinal or interventional studies of neurodegenerative diseases, such as Alzheimer's disease including intervention stratification.
“Diffusion-based virtual MRE also appears as an attractive, scalable noninvasive biomarker to investigate brain stiffness in the aging brain and for longitudinal or interventional studies of neurodegenerative diseases, such as Alzheimer’s disease including intervention stratification (Le Bihan, 2026).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan, 2026
Regional stiffness maps may provide a mesoscale index of cumulative microstructural failure and of how strongly pathology has destabilized the local tissue environment.
“Regional stiffness maps may thus provide a mesoscale index of cumulative microstructural failure and of how strongly pathology has destabilized the local tissue environment (Coelho & Sousa, 2022; Y. Feng et al., 2024; Le Bihan, 2026).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan, 2026
Diffusion-vMRE could provide a surrogate marker of parenchymal mechanics relevant to glymphatic function, allowing from individual brain elasticity values to assess vulnerability to Alzheimer's disease and potentially identify patients who might benefit from early interventions.
“Diffusion-vMRE could provide a surrogate marker of parenchymal mechanics relevant to glymphatic function, allowing from individual brain elasticity values to assess vulnerability to Alzheimer’s disease and potentially identify patients who might benefit from early interventions (Le Bihan, 2026).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan, 2026
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Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,542 · see citing works
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483 · see citing works
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · see citing works
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824 · cited 1× · see citing works
“…into mesoscale diffusional responses and finally into regional material properties, with vascular pulsatility and sleep state acting as modulators of the entire system (O’Donnell et al., 2011; Araya et al., 2014; Iliff et al., 2012; Iliff et al., 2013; Ding et al., 2025; Naganawa et al., 2024).”
Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397 · see citing works
Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681 · see citing works
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20508 · Cited by 2,488 · see citing works
Magnetic Resonance Elastography by Direct Visualization of Propagating Acoustic Strain Waves
Muthupillai, R., Lomas, D. J., Rossman, P. J., Greenleaf, J. F., Manduca, A., & Ehman, R. L. (1995) · Science · doi:10.1126/science.7569924 · Cited by 2,116 · see citing works
On the Regulation of the Blood‐supply of the Brain
Roy, C., & Sherrington, C. (1890) · The Journal of Physiology · doi:10.1113/jphysiol.1890.sp000321 · Cited by 1,834 · see citing works
Measurement of current‐voltage relations in the membrane of the giant axon of Loligo
Hodgkin, A. L., Huxley, A. F., & Katz, B. (1952) · The Journal of Physiology · doi:10.1113/jphysiol.1952.sp004716 · Cited by 1,749 · see citing works
Palop, J. J., Chin, J., Roberson, E. D., Wang, J., Thwin, M. T., Bien-Ly, N., Yoo, J., Ho, K. O., Yu, G.-Q., Kreitzer, A., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.07.025 · Cited by 1,653 · see citing works
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571 · see citing works
Matsuzaki, M., Ellis-Davies, G. C. R., Nemoto, T., Miyashita, Y., Iino, M., & Kasai, H. (2001) · Nature Neuroscience · doi:10.1038/nn736 · Cited by 1,563 · cited 1× · see citing works
“…correlates with postsynaptic density and AMPA ( α -amino-3- hydroxy-5-methyl-4-isoxazolepropionic acid) receptor content (Arellano et al., 2007; Matsuzaki et al., 2001), whereas spine neck geometry regulates electrical resistance, calcium compartmentalization, and biochemical exchange with the…”
The components of membrane conductance in the giant axon of Loligo
Hodgkin, A. L., & Huxley, A. F. (1952) · The Journal of Physiology · doi:10.1113/jphysiol.1952.sp004718 · Cited by 1,418 · see citing works
Gamma frequency entrainment attenuates amyloid load and modifies microglia
Iaccarino, H. F., Singer, A. C., Martorell, A. J., Rudenko, A., Gao, F., Gillingham, T. Z., Mathys, H., Seo, J., Kritskiy, O., Abdurrob, F., et al. (2016) · Nature · doi:10.1038/nature20587 · Cited by 1,328 · see citing works
Cerebral Arterial Pulsation Drives Paravascular CSF–Interstitial Fluid Exchange in the Murine Brain
Iliff, J. J., Wang, M., Zeppenfeld, D. M., Venkataraman, A., Plog, B. A., Liao, Y., Deane, R., & Nedergaard, M. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1592-13.2013 · Cited by 1,319 · see citing works
Structure and function of dendritic spines
Nimchinsky, E. A., Sabatini, B. L., & Svoboda, K. (2002) · Annual Review of Physiology · doi:10.1146/annurev.physiol.64.081501.160008 · Cited by 1,208 · see citing works
Stably maintained dendritic spines are associated with lifelong memories
Yang, G., Pan, F., & Gan, W.-B. (2009) · Nature · doi:10.1038/nature08577 · Cited by 1,182 · see citing works
Zhang, J., Zhang, Y., Wang, J., Xia, Y., Zhang, J., & Chen, L. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01911-3 · Cited by 1,138 · cited 5× · see citing works
“Memory impairment, slowed thinking, loss of mental flexibility, and reduced capacity to manage multistep tasks can all be understood as manifestations of progressive failure in distributed synaptic networks rather than simply as “cell death” in isolated regions (Zhang et al., 2024).”
InfluentialAge-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease
Bartzokis, G. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.03.001 · Cited by 968 · see citing works
Über humorale übertragbarkeit der Herznervenwirkung
Loewi, O. (1921) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/bf01738910 · Cited by 864 · see citing works
Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognition
Martorell, A. J., Paulson, A. L., Suk, H.-J., Abdurrob, F., Drummond, G. T., Guan, W., Young, J. Z., Kim, D. N.-W., Kritskiy, O., Barker, S. J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.014 · Cited by 798 · cited 2× · see citing works
“Thus, 40 Hz stimulation is already situated at the interface of network dynamics, glial biology and fluid handling (Iaccarino et al., 2016; Martorell et al., 2019; Murdock et al., 2024; Sun et al., 2024; Cantoni et al., 2025; Park and Tsai, 2025).”
Astrocytes: a central element in neurological diseases
Pekny, M., Pekna, M., Messing, A., Steinhäuser, C., Lee, J., Parpura, V., Hol, E. M., Sofroniew, M. V., & Verkhratsky, A. (2015) · Acta Neuropathologica · doi:10.1007/s00401-015-1513-1 · Cited by 755 · see citing works
White matter changes in Alzheimer’s disease: A focus on myelin and oligodendrocytes
Nasrabady, S. E., Rizvi, B., Goldman, J. E., & Brickman, A. M. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0515-3 · Cited by 723 · see citing works
Diffusion tensor imaging and aging
Sullivan, E. V., & Pfefferbaum, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.002 · Cited by 649 · see citing works
Coombs, J. S., Eccles, J. C., & Fatt, P. (1955) · The Journal of Physiology · doi:10.1113/jphysiol.1955.sp005412 · Cited by 572 · see citing works
Ultrastructure of dendritic spines: correlation between synaptic and spine morphologies
Arellano, J. I. (2007) · Frontiers in Neuroscience · doi:10.3389/neuro.01.1.1.010.2007 · Cited by 529 · see citing works
Release of acetylcholine at voluntary motor nerve endings
Dale, H. H., Feldberg, W. S., & Vogt, M. (1936) · The Journal of Physiology · doi:10.1113/jphysiol.1936.sp003371 · Cited by 492 · see citing works
Light scattering and birefringence changes during nerve activity
COHEN, L. B., KEYNES, R. D., & HILLE, B. (1968) · Nature · doi:10.1038/218438a0 · Cited by 479 · see citing works
Gamma Entrainment Binds Higher-Order Brain Regions and Offers Neuroprotection
Adaikkan, C., Middleton, S. J., Marco, A., Pao, P., Mathys, H., Kim, D. N.-W., Gao, F., Young, J. Z., Suk, H., Boyden, E. S., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.011 · Cited by 469 · see citing works
Anticipatory haemodynamic signals in sensory cortex not predicted by local neuronal activity
Sirotin, Y. B., & Das, A. (2009) · Nature · doi:10.1038/nature07664 · Cited by 437 · see citing works
Steven, A. J., Zhuo, J., & Melhem, E. R. (2013) · American Journal of Roentgenology · doi:10.2214/ajr.13.11365 · Cited by 404 · see citing works
Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease
Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awp257 · Cited by 393 · see citing works
Multisensory gamma stimulation promotes glymphatic clearance of amyloid
Murdock, M. H., Yang, C.-Y., Sun, N., Pao, P., Blanco‐Duque, C., Kahn, M. C., Kim, T., Lavoie, N., Victor, M. B., Islam, R., et al. (2024) · Nature · doi:10.1038/s41586-024-07132-6 · Cited by 370 · see citing works
Synaptic basis of Alzheimer’s disease: Focus on synaptic amyloid beta, P-tau and mitochondria
John, A., & Reddy, P. H. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101208 · Cited by 359 · see citing works
Neuronal activity regulates diffusion across the neck of dendritic spines
Bloodgood, B. L., & Sabatini, B. L. (2005) · Science · doi:10.1126/science.1114816 · Cited by 344 · see citing works
Tissue mechanics regulate brain development, homeostasis and disease
Barnes, J. M., Przybyla, L., & Weaver, V. M. (2017) · Journal of Cell Science · doi:10.1242/jcs.191742 · Cited by 313 · see citing works
Henderson, M. X., Cornblath, E. J., Darwich, A., Zhang, B., Brown, H., Gathagan, R. J., Sandler, R. M., Bassett, D. S., Trojanowski, J. Q., & Lee, V. M. Y. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0457-5 · Cited by 310 · see citing works
Imaging cell volume changes and neuronal excitation in the hippocampal slice
Andrew, R. D., & Macvicar, B. A. (1994) · Neuroscience · doi:10.1016/0306-4522(94)90372-7 · Cited by 304 · see citing works
Direct and fast detection of neuronal activation in the human brain with diffusion MRI
Le Bihan, D., Urayama, S.-I., Aso, T., Hanakawa, T., & Fukuyama, H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600644103 · Cited by 272 · see citing works
Twenty years of functional MRI: The science and the stories
Bandettini, P. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.026 · Cited by 268 · see citing works
Crick, F. (1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90020-0 · Cited by 254 · see citing works
Optogenetic gamma stimulation rescues memory impairments in an Alzheimer’s disease mouse model
Etter, G., van der Veldt, S., Manseau, F., Zarrinkoub, I., Trillaud-Doppia, É., & Williams, S. (2019) · Nature Communications · doi:10.1038/s41467-019-13260-9 · Cited by 242 · see citing works
Swelling of Nerve Fibers Associated with Action Potentials
Iwasa, K., Tasaki, I., & Gibbons, R. C. (1980) · Science · doi:10.1126/science.7423196 · Cited by 225 · see citing works
Targeting the Synapse in Alzheimer’s Disease
Jackson, J., Jambrina, E., Li, J., Marston, H., Menzies, F., Phillips, K., & Gilmour, G. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00735 · Cited by 215 · see citing works
Hasbani, M. J., Schlief, M. L., Fisher, D. A., & Goldberg, M. P. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-07-02393.2001 · Cited by 208 · see citing works
Regional brain stiffness changes across the Alzheimer's disease spectrum
Murphy, M. C., Jones, D. T., Jack, C. R., Glaser, K. J., Senjem, M. L., Manduca, A., Felmlee, J. P., Carter, R. E., Ehman, R. L., & Huston, J. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.12.007 · Cited by 206 · see citing works
Activity-dependent dendritic spine neck changes are correlated with synaptic strength
Araya, R., Vogels, T. P., & Yuste, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321869111 · Cited by 197 · see citing works
Microglial Piezo1 senses Aβ fibril stiffness to restrict Alzheimer’s disease
Hu, J., Chen, Q., Zhu, H., Hou, L., Liu, W., Yang, Q., Shen, H., Chai, G., Zhang, B., Chen, S., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.021 · Cited by 196 · see citing works
Transient decrease in water diffusion observed in human occipital cortex during visual stimulation
Darquié, A., Poline, J.-B., Poupon, C., Saint-Jalmes, H., & Le Bihan, D. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.151125698 · Cited by 194 · see citing works
Neural Science: A Century of Progress and the Mysteries that Remain
Albright, T. D., Jessell, T. M., Kandel, E. R., & Posner, M. I. (2000) · Neuron · doi:10.1016/s0896-6273(00)80912-5 · Cited by 193 · see citing works
White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease
Araque Caballero, M. Á., Suárez-Calvet, M., Duering, M., Franzmeier, N., Benzinger, T., Fagan, A. M., Bateman, R. J., Jack, C. R., Levin, J., Dichgans, M., et al. (2018) · Brain · doi:10.1093/brain/awy229 · Cited by 179 · see citing works
Soula, M., Martín‐Ávila, A., Zhang, Y., Dhingra, A., Nitzan, N., Sadowski, M. J., Gan, W., & Buzsáki, G. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01270-2 · Cited by 160 · see citing works
Spine neck plasticity controls postsynaptic calcium signals through electrical compartmentalization
Grunditz, Å., Holbro, N., Tian, L., Zuo, Y., & Oertner, T. G. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2702-08.2008 · Cited by 157 · see citing works
Chen, Y., Wang, Y., Song, Z., Fan, Y., Gao, T., & Tang, X. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101911 · Cited by 152 · see citing works
Mechanical changes in squid giant axons associated with production of action potentials
Iwasa, K., & Tasaki, I. (1980) · Biochemical and Biophysical Research Communications · doi:10.1016/0006-291x(80)91619-8 · Cited by 139 · see citing works
Mechanobiology of the brain in ageing and Alzheimer's disease
Hall, C. M., Moeendarbary, E., & Sheridan, G. K. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14766 · Cited by 137 · see citing works
Zhuang, L., Sachdev, P. S., Trollor, J. N., Reppermund, S., Kochan, N. A., Brodaty, H., & Wen, W. X. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058887 · Cited by 136 · see citing works
Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
Acosta‐Cabronero, J., Alley, S., Williams, G. B., Pengas, G., & Nestor, P. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049072 · Cited by 127 · see citing works
General review of magnetic resonance elastography
Low, G. (2016) · World Journal of Radiology · doi:10.4329/wjr.v8.i1.59 · Cited by 123 · see citing works
Hiscox, L. V., Johnson, C. L., McGarry, M. D. J., Perrins, M., Littlejohn, A., van Beek, E. J. R., Roberts, N., & Starr, J. M. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.01.010 · Cited by 118 · see citing works
Dendritic Spines in Alzheimer’s Disease: How the Actin Cytoskeleton Contributes to Synaptic Failure
Pelucchi, S., Stringhi, R., & Marcello, E. E. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21030908 · Cited by 116 · see citing works
The Glymphatic System in Humans: Investigations With Magnetic Resonance Imaging
Naganawa, S., Taoka, T., Ito, R., & Kawamura, M. (2023) · Investigative Radiology · doi:10.1097/rli.0000000000000969 · Cited by 115 · see citing works
Brain mechanical property measurement using MRE with intrinsic activation
Weaver, J. B., Pattison, A. J., McGarry, M. D., Perreard, I. M., Swienckowski, J. G., Eskey, C. J., Lollis, S. S., & Paulsen, K. D. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/22/7275 · Cited by 102 · see citing works
Tasaki, I., & Iwasa, K. (1982) · The Japanese Journal of Physiology · doi:10.2170/jjphysiol.32.69 · Cited by 102 · see citing works
Le Bihan, D., Ichikawa, S., & Motosugi, U. (2017) · Radiology · doi:10.1148/radiol.2017170025 · Cited by 102 · see citing works
Medial temporal lobe viscoelasticity and relational memory performance
Schwarb, H., Johnson, C. L., McGarry, M. D. J., & Cohen, N. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.059 · Cited by 100 · see citing works
Metuzals, J., & Tasaki, I. (1978) · The Journal of Cell Biology · doi:10.1083/jcb.78.2.597 · Cited by 97 · see citing works
Water diffusion in brain cortex closely tracks underlying neuronal activity
Tsurugizawa, T., Ciobanu, L., & Le Bihan, D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303178110 · Cited by 93 · see citing works
Diffusion Magnetic Resonance Imaging-Based Biomarkers for Neurodegenerative Diseases
Kamagata, K., Andica, C., Kato, A., Saito, Y., Uchida, W., Hatano, T., Lukies, M. W., Ogawa, T., Takeshige‐Amano, H., Akashi, T., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105216 · Cited by 92 · see citing works
Diffusion-weighted MRI-based Virtual Elastography for the Assessment of Liver Fibrosis
Kromrey, M.-L., Le Bihan, D., Ichikawa, S., & Motosugi, U. (2020) · Radiology · doi:10.1148/radiol.2020191498 · Cited by 90 · see citing works
Park, S.-S., Park, H.-S., Kim, C., Kang, H., Kim, D., Baek, S., & Kim, T.-W. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00631-4 · Cited by 89 · see citing works
The glymphatic system clears amyloid beta and tau from brain to plasma in humans
Dagum, P., Elbert, D. L., Giovangrandi, L., Singh, T., Venkatesh, V., Corbellini, A., Kaplan, R. M., Levendovszky, S. R., Ludington, E., Yarasheski, K. E., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68374-8 · Cited by 87 · see citing works
40 Hz light flickering facilitates the glymphatic flow via adenosine signaling in mice
Sun, X., Dias, L., Peng, C., Zhang, Z., Ge, H., Wang, Z., Jin, J., Jia, M., Xu, T., Guo, W. M., et al. (2024) · Cell Discovery · doi:10.1038/s41421-024-00701-z · Cited by 83 · see citing works
Aging in deep gray matter and white matter revealed by diffusional kurtosis imaging
Gong, N.-J., Wong, C.-S., Chan, C.-C., Leung, L.-M., & Chu, Y.-C. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.011 · Cited by 82 · see citing works
Diffusion models reveal white matter microstructural changes with ageing, pathology and cognition
Raghavan, S., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Graff-Radford, J., Schwarz, C. G., Knopman, D. S., Mielke, M. M., Machulda, M. M., Petersen, R. C., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab106 · Cited by 79 · see citing works
Schilling, K. G., Archer, D., Yeh, F.-C., Rheault, F., Cai, L. Y., Hansen, C., Yang, Q., Ramdass, K., Shafer, A. T., Resnick, S. M., et al. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02503-z · Cited by 78 · see citing works
Dendritic Spine Dynamics Regulate the Long-Term Stability of Synaptic Plasticity
O’Donnell, C., Nolan, M. F., & van Rossum, M. C. W. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2520-11.2011 · Cited by 76 · see citing works
Brain palpation from physiological vibrations using MRI
Zorgani, A., Souchon, R., Dinh, A.-H., Chapelon, J.-Y., Ménager, J.-M., Lounis, S., Rouvière, O., & Catheline, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1509895112 · Cited by 69 · see citing works
The Water Transport System in Astrocytes–Aquaporins
Zhou, Z., Zhan, J., Cai, Q., Xu, F., Chai, R., Lam, K., Luan, Z., Zhou, G., Tsang, S. Y., Kipp, M., et al. (2022) · Cells · doi:10.3390/cells11162564 · Cited by 66 · see citing works
Ungureanu, A.-A., Benilova, I., Krylychkina, O., Braeken, D., Strooper, B. D., Haesendonck, C. V., Dotti, C. G., & Bartic, C. (2016) · Scientific Reports · doi:10.1038/srep25841 · Cited by 64 · see citing works
Tsukita, S., Tsukita, S., Kobayashi, T., & Matsumoto, G. (1986) · The Journal of Cell Biology · doi:10.1083/jcb.102.5.1710 · Cited by 63 · see citing works
Finsterwalder, S., Vlegels, N., Gesierich, B. G., Caballero, M. Á. A., Weaver, N. A., Franzmeier, N., Georgakis, M. K., Konieczny, M. J., Koek, H. L., Dominantly Inherited Alzheimer Network (DIAN), et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12150 · Cited by 56 · see citing works
Dendritic spines are lost in clusters in Alzheimer’s disease
Mijalkov, M., Volpe, G., Fernaud-Espinosa, I., DeFelipe, J., Pereira, J. B., & Merino‐Serrais, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-91726-x · Cited by 54 · see citing works
Activity-Dependent Plasticity of Astroglial Potassium and Glutamate Clearance
Cheung, G. T. Y., Sibille, J., Zapata, J., & Rouach, N. (2015) · Neural Plasticity · doi:10.1155/2015/109106 · Cited by 54 · see citing works
Debaker, C. S., Djemaï, B., Ciobanu, L., Tsurugizawa, T., & Bihan, D. L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229702 · Cited by 53 · see citing works
Delgorio, P. L., Hiscox, L. V., Daugherty, A. M., Sanjana, F., Pohlig, R. T., Ellison, J. M., Martens, C. R., Schwarb, H. D., McGarry, M., & Johnson, C. L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa388 · Cited by 53 · see citing works
Glymphatic system and psychiatric disorders: need for a new paradigm?
Barlattani, T., Cavatassi, A., Bologna, A., Socci, V., Trebbi, E., Malavolta, M., Rossi, A., Martiadis, V., Tomasetti, C., Berardis, D. D., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1642605 · Cited by 52 · see citing works
Magnetic Resonance Elastography in the Study of Neurodegenerative Diseases
Feng, Y., Murphy, M. C., Hojo, E., Li, F. Y., & Roberts, N. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28747 · Cited by 50 · see citing works
Stroman, P. W., Lee, A. S., Pitchers, K. K., & Andrew, R. D. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21534 · Cited by 49 · see citing works
Ding, J., Zhao, C., Hao, X., & Jiao, H. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70709 · Cited by 49 · see citing works
Imaging localized neuronal activity at fast time scales through biomechanics
Patz, S., Fovargue, D., Schregel, K., Nazari, N., Palotai, M., Barbone, P. E., Fabry, B., Hammers, A., Holm, S., Kozerke, S., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav3816 · Cited by 48 · see citing works
Synapse vulnerability and resilience underlying Alzheimer’s disease
Taddei, R. N., & Duff, K. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105557 · Cited by 46 · see citing works
Buono, V. L., Palmeri, R., Corallo, F., Allone, C., Pria, D., Bramanti, P., & Marino, S. (2019) · International Journal of Neuroscience · doi:10.1080/00207454.2019.1667798 · Cited by 45 · see citing works
Diffusion-weighted magnetic resonance imaging of neuronal activity in the hippocampal slice model
Flint, J., Hansen, B., Vestergaard-Poulsen, P., & Blackband, S. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.003 · Cited by 44 · see citing works
Plasma tau biomarkers for biological staging of Alzheimer’s disease
Montoliu‐Gaya, L., Salvadó, G., Therriault, J., Nilsson, J., Janelidze, S., Weiner, S., Ashton, N. J., Benedet, A. L., Rahmouni, N., Lantero‐Rodriguez, J., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00951-w · Cited by 44 · see citing works
Lagerstrand, K., Gaedes, N., Eriksson, S., Farahmand, D., De Coursey, E., Johansson, G., Jönsson, L., & Skoglund, T. (2021) · Pituitary · doi:10.1007/s11102-021-01129-4 · Cited by 43 · see citing works
A rapid-onset diffusion functional MRI signal reflects neuromorphological coupling dynamics
Nunes, D., Gil, R., & Shemesh, N. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117862 · Cited by 43 · see citing works
Nakaya, M., Sato, N., Matsuda, H., Maikusa, N., Shigemoto, Y., Sone, D., Yamao, T., Ogawa, M., Kimura, Y., Chiba, E., et al. (2022) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12356 · Cited by 41 · see citing works
BOLD signal changes can oppose oxygen metabolism across the human cortex
Epp, S. M., Castrillón, G., Yuan, B., Andrews-Hanna, J., Preibisch, C., & Riedl, V. (2026) · Nature Neuroscience · doi:10.1038/s41593-025-02132-9 · Cited by 41 · see citing works
Superviscous Properties of the In Vivo Brain at Large Scales
Herthum, H., Dempsey, S. C. H., Samani, A., Schrank, F., Shahryari, M., Warmuth, C., Tzschätzsch, H., Braun, J., & Sack, I. (2020) · Acta Biomaterialia · doi:10.1016/j.actbio.2020.12.027 · Cited by 40 · see citing works
Mechanical regulation of synapse formation and plasticity
Minegishi, T., Kastian, R. F., & Inagaki, N. (2022) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2022.05.017 · Cited by 37 · see citing works
Clinical magnetic resonance imaging evaluation of glymphatic function
Boyd, E. D., Kaur, J., Ding, G., Chopp, M., & Jiang, Q. (2024) · NMR in Biomedicine · doi:10.1002/nbm.5132 · Cited by 37 · see citing works
Honey, I shrunk the extracellular space: Measurements and mechanisms of astrocyte swelling
Walch, E., & Fiacco, T. A. (2022) · Glia · doi:10.1002/glia.24224 · Cited by 36 · see citing works
Nonino, F., Minozzi, S., Sambati, L., Del Giovane, C., Baldin, E., Bassi, M. C., De Santis, C., Gonzalez-Lorenzo, M., Vignatelli, L., Filippini, G., et al. (2026) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd016297 · Cited by 35 · see citing works
Modulation of water diffusion by activation-induced neural cell swelling in Aplysia Californica
Abe, Y., Nguyen, K.-V., Tsurugizawa, T., Ciobanu, L., & Bihan, D. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-05586-5 · Cited by 34 · see citing works
Matsumoto, G., Kobayashi, T., & Sakai, H. (1979) · The Journal of Biochemistry · doi:10.1093/oxfordjournals.jbchem.a132611 · Cited by 32 · see citing works
Smith, B. A., Roy, H., Koninck, P. D., Grütter, P., & Koninck, Y. D. (2006) · Biophysical Journal · doi:10.1529/biophysj.106.092361 · Cited by 32 · see citing works
Coelho, A., & Sousa, N. (2022) · Human Brain Mapping · doi:10.1002/hbm.25891 · Cited by 32 · see citing works
Glymphatic system clearance and Alzheimer’s disease risk: a CSF proteome-wide study
Cullell, N., Caruana, G., Elias-Mas, A., Delgado-Sánchez, A., Artero, C., Buongiorno, M., Almería, M., Ray, N. J., Corrêa, S. A. L., & Krupiński, J. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01612-7 · Cited by 29 · see citing works
Astrocyte regulation of extracellular space parameters across the sleep-wake cycle
Sriram, S., Carstens, K., Dewing, W., & Fiacco, T. A. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1401698 · Cited by 28 · see citing works
Imaging brain function with simultaneous BOLD and viscoelasticity contrast: fMRI/fMRE
Lan, P. S., Glaser, K. J., Ehman, R. L., & Glover, G. H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116592 · Cited by 26 · see citing works
Hugel, S., Abegg, M. H., Paola, V. D., Caroni, P., Gähwiler, B. H., & McKinney, R. A. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn118 · Cited by 25 · see citing works
Fu, J., Liu, Y., Li, Y., Chang, C., & Li, W. (2013) · Journal of Neuroimaging · doi:10.1111/jon.12061 · Cited by 25 · see citing works
Virtual magnetic resonance elastography predicts the intraoperative consistency of meningiomas
Aunan-Diop, J. S., Andersen, M. C. S., Friismose, A. I., Halle, B., Pedersen, C. B., Mussmann, B., Grønhøj, M. H., Nielsen, T. H., Jensen, U., & Poulsen, F. R. (2023) · Journal of Neuroradiology · doi:10.1016/j.neurad.2022.10.006 · Cited by 25 · see citing works
Diffusion MRI relates to plasma Aβ42/40 in PET negative participants without dementia
DeSimone, J. C., Wang, W., Loewenstein, D., Duara, R., Smith, G. E., McFarland, K. N., Armstrong, M. J., Weber, D. M., Barker, W., Coombes, S. A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13693 · Cited by 22 · see citing works
From Brownian motion to virtual biopsy: a historical perspective from 40 years of diffusion MRI
Bihan, D. L. (2024) · Japanese Journal of Radiology · doi:10.1007/s11604-024-01642-z · Cited by 21 · see citing works
Takagi, S., Obata, K., & Tsubokawa, H. (2002) · Neuroscience Research · doi:10.1016/s0168-0102(02)00153-0 · Cited by 21 · see citing works
Home-Based Gamma Transcranial Alternating Current Stimulation in Patients With Alzheimer Disease
Cantoni, V., Casula, E. P., Tarantino, B., Cupidi, C., Huber, N., Altomare, D., Premi, E., Zummo, E., Esposito, R., Leonardi, C., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.46556 · Cited by 21 · see citing works
Alzheimer Combination Therapies: Overview and Scenarios
Cummings, J. L., Burstein, A. H., & Fillit, H. M. (2025) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2025.100328 · Cited by 20 · see citing works
Wang, W.-E., Chen, R., Mayrand, R. P., Adjouadi, M., Fang, R., DeKosky, S. T., Duara, R., Coombes, S. A., & Vaillancourt, D. E. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.10.013 · Cited by 20 · see citing works
Innovations in noninvasive sensory stimulation treatments to combat Alzheimer’s disease
Park, J. M., & Tsai, L. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003046 · Cited by 18 · see citing works
Charcot, J. M. (2011) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0b013e31823899bc · Cited by 18 · see citing works
Brain mechanical properties predict longitudinal cognitive change in aging and Alzheimer’s disease
Pavuluri, K., Huston, J., Ehman, R. L., Manduca, A., Vemuri, P., Jack, C. R., Senjem, M. L., & Murphy, M. C. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.01.001 · Cited by 18 · see citing works
Tsurugizawa, T., Abe, Y., & Bihan, D. L. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16685104 · Cited by 17 · see citing works
Microtubules in Squid Giant Axon
Endo, S., Sakai, H., & Matsumoto, G. (1979) · Cell Structure and Function · doi:10.1247/csf.4.285 · Cited by 15 · see citing works
Mapping grey and white matter activity in the human brain with isotropic ADC-fMRI
Spencer, A. P. C., Nguyen-Duc, J., de Riedmatten, I., Szczepankiewicz, F., & Jelescu, I. O. (2025) · Nature Communications · doi:10.1038/s41467-025-60357-5 · Cited by 12 · see citing works
Dendritic spine head diameter predicts episodic memory performance in older adults
Walker, C. K., Liu, E., Greathouse, K. M., Adamson, A. B., Wilson, J. P., Poovey, E. H., Curtis, K. A., Muhammad, H. M., Weber, A. J., Bennett, D. A., et al. (2024) · Science Advances · doi:10.1126/sciadv.adn5181 · Cited by 11 · see citing works
He, S., Zhou, W., Hu, T., Huang, Y., Zhu, N., Mazu, L., Wang, W., Zhang, N., He, K., & Chu, J. (2025) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.70024 · Cited by 8 · see citing works
Gong, Z., Laporte, J. P., Guo, A. Y., Bilgel, M., Bae, J., Fox, N. Y., de Rouen, A., Zhang, N., Taranath, A., de Cabo, R., et al. (2026) · Journal of Clinical Investigation · doi:10.1172/jci196638 · Cited by 7 · cited 1× · see citing works
“…diffusion MRI closer to a mechanistically interpretable bio-marker of axonal structural failure while retaining the practical advantages of MRI: it is non-invasive, repeatable, radiation-free and more scalable than PET for longitudinal stratification and intervention studies (Gong et al., 2026).”
Mechanical effect of vocalization on human brain and meninges
Jindrák, K., & Jindrak, H. (1988) · Medical Hypotheses · doi:10.1016/0306-9877(88)90040-0 · Cited by 4 · see citing works
Wang, W., Huang, R., Lv, L., Ma, X., Li, Z., Zhang, Y., Wu, J., Wu, S., Xu, J., Hu, Y., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2529565123 · Cited by 4 · see citing works
Palnitkar, H., Murphy, M. C., Sui, Y., Glaser, K. J., Manduca, A., Welker, K. M., Campeau, N. G., Huston, J., Ehman, R. L., & Arani, A. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00172 · Cited by 4 · see citing works
Junowicz, E., Charm, S. E., & Blair, H. E. (1972) · Analytical Biochemistry · doi:10.1016/0003-2697(72)90292-8 · Cited by 3 · see citing works
Kastian, R. F., Minegishi, T., & Inagaki, N. (2021) · STAR Protocols · doi:10.1016/j.xpro.2021.100904 · Cited by 3 · see citing works
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- Eccles J.C. Fatt P. Koketsu K. (1954). Cholinergic and inhibitory synapses in a pathway from motor-axon collaterals to motoneurones. J. Physiol., 126, 524– 562 (1954). 13222354 PMC1365877
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40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“6) ( Le Bihan, 2026).”
Influential
- Authors
- Le Bihan, D.
- Affiliations
- NeuroSpin, Joliot Institute, CEA, CEA-Saclay Center, Paris-Saclay University
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2026-06-17
- Volume
- 20
- Pages
- 1858655-1858655
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC13318895
- OpenAlex
- W7165033284
- Cited by
- 1
- References
- 136
- Citations by year
- 2026: 1
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, mechanobiology, brain tissue mechanics, cerebral softening, glymphatic system, amyloid accumulation, tau accumulation, waste clearance, magnetic resonance elastography, diffusion MRI, imaging biomarkers, dendritic spines
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