GABAergic cortical network physiology in frontotemporal lobar degeneration
Open accessAbstract
The clinical syndromes caused by frontotemporal lobar degeneration are heterogeneous, including the behavioural variant frontotemporal dementia (bvFTD) and progressive supranuclear palsy. Although pathologically distinct, they share many behavioural, cognitive and physiological features, which may in part arise from common deficits of major neurotransmitters such as γ-aminobutyric acid (GABA). Here, we quantify the GABAergic impairment and its restoration with dynamic causal modelling of a double-blind placebo-controlled crossover pharmaco-magnetoencephalography study. We analysed 17 patients with bvFTD, 15 patients with progressive supranuclear palsy, and 20 healthy age- and gender-matched controls. In addition to neuropsychological assessment and structural MRI, participants undertook two magnetoencephalography sessions using a roving auditory oddball paradigm: once on placebo and once on 10 mg of the oral GABA reuptake inhibitor tiagabine. A subgroup underwent ultrahigh-field magnetic resonance spectroscopy measurement of GABA concentration, which was reduced among patients. We identified deficits in frontotemporal processing using conductance-based biophysical models of local and global neuronal networks. The clinical relevance of this physiological deficit is indicated by the correlation between top-down connectivity from frontal to temporal cortex and clinical measures of cognitive and behavioural change. A critical validation of the biophysical modelling approach was evidence from parametric empirical Bayes analysis that GABA levels in patients, measured by spectroscopy, were related to posterior estimates of patients’ GABAergic synaptic connectivity. Further evidence for the role of GABA in frontotemporal lobar degeneration came from confirmation that the effects of tiagabine on local circuits depended not only on participant group, but also on individual baseline GABA levels. Specifically, the phasic inhibition of deep cortico-cortical pyramidal neurons following tiagabine, but not placebo, was a function of GABA concentration. The study provides proof-of-concept for the potential of dynamic causal modelling to elucidate mechanisms of human neurodegenerative disease, and explains the variation in response to candidate therapies among patients. The laminar- and neurotransmitter-specific features of the modelling framework, can be used to study other treatment approaches and disorders. In the context of frontotemporal lobar degeneration, we suggest that neurophysiological restoration in selected patients, by targeting neurotransmitter deficits, could be used to bridge between clinical and preclinical models of disease, and inform the personalized selection of drugs and stratification of patients for future clinical trials.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
This approach has been used to study pathophysiology of non-AD dementias and confirmatory studies of drug interventions.
“This approach has been used to study the pathophysiology of non‐AD dementias, 18 , 19 and confirmatory studies of drug interventions. 5 , 18”
From Alzheimer's disease and its progression reduce pyramidal cell gain and connectivity (2025) · cites this paper as [18]
The Introduction describes dynamic causal modelling used to study network physiology in frontotemporal dementia and progressive supranuclear palsy, supporting the non-AD dementia portion. It also describes a placebo-controlled tiagabine experiment, but the Discussion says tiagabine was a pharmacological probe, not a clinical treatment, and that the study was not a clinical trial. It therefore does not support describing this work as a confirmatory study of a drug intervention. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSix of the eight regions are based on prior studies that established a frontotemporal network responsible for generating the mismatch negativity response.
“Six of these regions are based on a series of prior studies of mismatch negativity generation with healthy adults and those with non‐AD dementia, 4 , 18 , 24 , 25 which established a frontotemporal network (primary auditory, superior temporal, and inferior frontal regions) responsible for generating the mismatch negativity response.”
From Alzheimer's disease and its progression reduce pyramidal cell gain and connectivity (2025) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221 · see citing works
The FAB: A frontal assessment battery at bedside
Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000) · Neurology · doi:10.1212/wnl.55.11.1621 · Cited by 3,913 · see citing works
Estimation of metabolite concentrations from localized in vivo proton NMR spectra
Provencher, S. W. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300604 · Cited by 3,659 · see citing works
Canonical Microcircuits for Predictive Coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421 · cited 1× · see citing works
“61,64 Canonical microcircuit models of phasic band-limited activity and connectivity have successfully reproduced this effect.”
BackgroundSelf-citationClinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria
Höglinger, G. U., Respondek, G., Stamelou, M., Kurz, C., Josephs, K. A., Lang, A. E., Mollenhauer, B., Müller, U., Nilsson, C., Whitwell, J. L., et al. (2017) · Movement Disorders · doi:10.1002/mds.26987 · Cited by 2,374 · see citing works
Self-citationNeurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
Mioshi, E., Dawson, K., Mitchell, J., Arnold, R., & Hodges, J. R. (2006) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1610 · Cited by 2,016 · see citing works
Visual areas exert feedforward and feedback influences through distinct frequency channels
Bastos, A. M., Vezoli, J., Bosman, C. A., Schoffelen, J.-M., Oostenveld, R., Dowdall, J. R., De Weerd, P., Kennedy, H., & Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.018 · Cited by 1,320 · see citing works
In vivo1H NMR spectroscopy of rat brain at 1 ms echo time
Tk�?, I., uk, Z. S., Choi, I., & Rolf Gruetter, A. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199904)41:4 · Cited by 994 · see citing works
Inhibition-based rhythms: experimental and mathematical observations on network dynamics
Whittington, M. A., Traub, R. D., Kopell, N., Ermentrout, B., & Buhl, E. (2000) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00173-2 · Cited by 953 · see citing works
Variational free energy and the Laplace approximation
Friston, K., Mattout, J., Trujillo-Barreto, N., Ashburner, J., & Penny, W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.035 · Cited by 880 · see citing works
Self-citationClinical, genetic and pathological heterogeneity of frontotemporal dementia: A review
Seelaar, H., Rohrer, J. D., Pijnenburg, Y. A. L., Fox, N. C., & van Swieten, J. C. (2011) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2010.212225 · Cited by 609 · see citing works
The functional anatomy of the MMN: a DCM study of the roving paradigm
Garrido, M. I., Friston, K. J., Kiebel, S. J., Stephan, K. E., Baldeweg, T., & Kilner, J. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.018 · Cited by 458 · see citing works
Self-citationDifferent soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanisms
De, S., Wirthensohn, D. C., Flagmeier, P., Hughes, C., Aprile, F. A., Ruggeri, F. S., Whiten, D. R., Emin, D., Xia, Z., Varela, J. A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09477-3 · Cited by 448 · see citing works
A guide to group effective connectivity analysis, part 2: Second level analysis with PEB
Zeidman, P., Jafarian, A., Seghier, M. L., Vladimir Litvak, A., Cagnan, H., Price, C. J., & Friston, K. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.032 · Cited by 412 · see citing works
Self-citationClinical and neuroanatomical signatures of tissue pathology in frontotemporal lobar degeneration
Rohrer, J. D., Lashley, T., Schott, J. M., Warren, J. D., Mead, S., Isaacs, A. M., Beck, J. A., Hardy, J., de Silva, R., Warrington, E. K., et al. (2011) · Brain · doi:10.1093/brain/awr198 · Cited by 359 · see citing works
A Bayesian perspective on the bonferroni adjustment
Westfall, P. (1997) · Biometrika · doi:10.1093/biomet/84.2.419 · Cited by 316 · see citing works
TORRALVA, T., ROCA, M., GLEICHGERRCHT, E., LÓPEZ, P., & MANES, F. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990415 · Cited by 292 · see citing works
Communication through coherence with inter-areal delays
Bastos, A. M., Vezoli, J., & Fries, P. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.11.001 · Cited by 261 · see citing works
Voxel-based morphometry in autopsy proven PSP and CBD
Josephs, K. A., Whitwell, J. L., Dickson, D. W., Boeve, B. F., Knopman, D. S., Petersen, R. C., Parisi, J. E., & Jack, C. R. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.09.019 · Cited by 234 · see citing works
Muthukumaraswamy, S. D., Shaw, A. D., Jackson, L. E., Hall, J., Moran, R., & Saxena, N. K. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0903-15.2015 · Cited by 230 · see citing works
Self-citationThe Cambridge Behavioural Inventory revised
Wear, H. J., Wedderburn, C. J., Mioshi, E., Williams-Gray, C. H., Mason, S. L., Barker, R. A., & Hodges, J. R. (2008) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642009dn20200005 · Cited by 225 · see citing works
Dynamic causal modelling for EEG and MEG
Kiebel, S. J., Garrido, M. I., Moran, R. J., & Friston, K. J. (2008) · Cognitive Neurodynamics · doi:10.1007/s11571-008-9038-0 · Cited by 211 · see citing works
Self-citationÖz, G., & Tkáč, I. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22708 · Cited by 203 · see citing works
Neurotransmitter deficits from frontotemporal lobar degeneration
Murley, A. G., & Rowe, J. B. (2017) · Brain · doi:10.1093/brain/awx327 · Cited by 199 · see citing works
Self-citationAssaf, Y., & Cohen, Y. (2000) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(200002)43:2 · Cited by 184 · see citing works
Diagnosis Across the Spectrum of Progressive Supranuclear Palsy and Corticobasal Syndrome
Jabbari, E., Holland, N., Chelban, V., Jones, P. S., Lamb, R., Rawlinson, C. V., Guo, T., Costantini, A. A., Tan, M. M. X., Heslegrave, A., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.4347 · Cited by 176 · see citing works
Self-citationDissecting psychiatric spectrum disorders by generative embedding
Brodersen, K. H., Deserno, L., Schlagenhauf, F., Lin, Z., Penny, W. D., Buhmann, J. M., & Stephan, K. E. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.11.002 · Cited by 173 · see citing works
Redefining the multidimensional clinical phenotypes of frontotemporal lobar degeneration syndromes
Murley, A. G., Coyle-Gilchrist, I., Rouse, M. A., Jones, P. S., Li, W., Wiggins, J., Lansdall, C., Rodríguez, P. V., Wilcox, A., Tsvetanov, K. A., et al. (2020) · Brain · doi:10.1093/brain/awaa097 · Cited by 162 · see citing works
Self-citationEvidence for causal top-down frontal contributions to predictive processes in speech perception
Cope, T., Sohoglu, E., Sedley, W., Patterson, K. E., Jones, P. S., Wiggins, J., Dawson, C., Grube, M., Carlyon, R. P., Griffiths, T. D., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01958-7 · Cited by 150 · see citing works
Self-citationTherapy and clinical trials in frontotemporal dementia: past, present, and future
Tsai, R. M., & Boxer, A. L. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13640 · Cited by 145 · see citing works
How to apply the movement disorder society criteria for diagnosis of progressive supranuclear palsy
Grimm, M., Respondek, G., Stamelou, M., Arzberger, T., Ferguson, L. W., Gelpí, E., Giese, A., Grossman, M., Irwin, D. J., Pantelyat, A. Y., et al. (2019) · Movement Disorders · doi:10.1002/mds.27666 · Cited by 141 · see citing works
Self-citationTonic Inhibition Enhances Fidelity of Sensory Information Transmission in the Cerebellar Cortex
Duguid, I., Branco, T., London, M., Chadderton, P. T., & Häusser, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0460-12.2012 · Cited by 140 · see citing works
Brenneis, C., Seppi, K., Schocke, M. F. H., Benke, T., Wenning, G. K., & Poewe, W. H. (2004) · PubMed Central · Cited by 135 · see citing works
Deelchand, D. K., Adanyeguh, I. M., Emir, U. E., Nguyen, T.-M., Valabrègue, R., Henry, P., Mochel, F., & Öz, G. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25295 · Cited by 130 · see citing works
Levenga, J., Krishnamurthy, P., Rajamohamedsait, H. B., Wong, H., Franke, T. F., Cain, P., Sigurdsson, E. M., & Hoeffer, C. A. (2013) · Acta Neuropathologica Communications · doi:10.1186/2051-5960-1-34 · Cited by 128 · see citing works
Unmasking Latent Inhibitory Connections in Human Cortex to Reveal Dormant Cortical Memories
Barron, H. C., Vogels, T. P., Emir, U. E., Makin, T. R., O’Shea, J., Clare, S., Jbabdi, S., Dolan, R. J., & Behrens, T. E. J. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.031 · Cited by 127 · see citing works
Dyke, K., Pépés, S. E., Chen, C., Kim, S., Sigurdsson, H. P., Draper, A., Masud Husain, B., Nachev, P., Gowland, P. A., Morris, P. G., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.011 · Cited by 126 · see citing works
Social cognitive deficits and their neural correlates in progressive supranuclear palsy
Ghosh, B. C. P., Calder, A. J., Peers, P. V., Lawrence, A. D., Acosta-Cabronero, J., Pereira, J. M., Hodges, J. R., & Rowe, J. B. (2012) · Brain · doi:10.1093/brain/aws128 · Cited by 123 · see citing works
Self-citationHenson, R. N., Wakeman, D. G., Vladimir Litvak, A., & Friston, K. J. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00076 · Cited by 121 · see citing works
Self-citationChennu, S., Noreika, V., Gueorguiev, D., Shtyrov, Y., Bekinschtein, T. A., & Henson, R. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1125-16.2016 · Cited by 107 · see citing works
Neurons and Their Dendrites in Frontotemporal Dementia
Ferrer, I. (1999) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000051214 · Cited by 105 · see citing works
A generative model of whole-brain effective connectivity
Frässle, S., Lomakina, E. I., Kasper, L., Manjaly, Z. M., Leff, A. P., Pruessmann, K. P., Buhmann, J. M., & Stephan, K. E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.058 · Cited by 104 · see citing works
Holland, N., Jones, P. S., Savulich, G., Wiggins, J. K., Hong, Y. T., Fryer, T. D., Manavaki, R., Sephton, S. M., Boros, I., Malpetti, M., et al. (2020) · Movement Disorders · doi:10.1002/mds.28188 · Cited by 93 · see citing works
Self-citationThe phenotypic spectrum of progressive supranuclear palsy
Respondek, G., & Höglinger, G. U. (2015) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2015.09.041 · Cited by 90 · see citing works
Toward a glutamate hypothesis of frontotemporal dementia
Benussi, A., Alberici, A., Buratti, E., Ghidoni, R., Gardoni, F., Di Luca, M., Padovani, A., & Borroni, B. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00304 · Cited by 90 · see citing works
Progressive Supranuclear Palsy with Dementia: Cortical Pathology
Bigio, E. H., Brown, D. F., & White, C. L. (1999) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-199904000-00006 · Cited by 85 · see citing works
Neurochemical abnormalities in premanifest and early spinocerebellar ataxias
Joers, J. M., Deelchand, D. K., Lyu, T., Emir, U. E., Hutter, D., Gomez, C. M., Bushara, K. O., Eberly, L. E., & Öz, G. (2018) · Annals of Neurology · doi:10.1002/ana.25212 · Cited by 84 · see citing works
Mosley, P. E., Paliwal, S., Robinson, K., Coyne, T. J., Silburn, P. A., Tittgemeyer, M., Stephan, K. E., Perry, A., & Breakspear, M. J. (2020) · Brain · doi:10.1093/brain/awaa148 · Cited by 83 · see citing works
Boxer, A. L., Gold, M., Huey, E. D., Gao, F., Burton, E. A., Chow, T. W., Kao, A. W., Leavitt, B. R., Lamb, B. T., Grether, M. E., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.03.002 · Cited by 82 · see citing works
Reorganization of cortical oscillatory dynamics underlying disinhibition in frontotemporal dementia
Hughes, L. E., Rittman, T., Robbins, T. W., & Rowe, J. B. (2018) · Brain · doi:10.1093/brain/awy176 · Cited by 81 · see citing works
Self-citationPhillips, H. N., Blenkmann, A. O., Hughes, L. E., Bekinschtein, T. A., & Rowe, J. B. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5095-14.2015 · Cited by 80 · see citing works
Self-citationIon channels in EEG: isolating channel dysfunction in NMDA receptor antibody encephalitis
Symmonds, M., Moran, C., Leite, M. I., Buckley, C. J., Irani, S. R., Stephan, K. E., Friston, K. J., & Moran, R. (2018) · Brain · doi:10.1093/brain/awy107 · Cited by 77 · see citing works
Self-citationPhillips, H. N., Blenkmann, A. O., Hughes, L. E., Kochen, S. S., Bekinschtein, T. A., Cam‐CAN, & Rowe, J. B. (2016) · Cortex · doi:10.1016/j.cortex.2016.05.001 · Cited by 76 · see citing works
Self-citationA Mechanistic Link from GABA to Cortical Architecture and Perception
Kolasinski, J., Logan, J., Hinson, E. L., Manners, D., Zand, A. P. D., Makin, T. R., Emir, U. E., & Stagg, C. J. (2017) · Current Biology · doi:10.1016/j.cub.2017.04.055 · Cited by 68 · see citing works
Cortical Synapse Loss in progressive Supranuclear palsy
Bigio, E. H., Vono, M. B., Satumtira, S., Adamson, J. L., Sontag, E., Hynan, L. S., White, C. L., Baker, M. C., & Hutton, M. (2001) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/60.5.403 · Cited by 65 · see citing works
Sami, S. A. K., Williams, N., Hughes, L. E., Cope, T., Rittman, T., Coyle-Gilchrist, I. T. S., Henson, R. N., & Rowe, J. B. (2018) · Brain · doi:10.1093/brain/awy180 · Cited by 64 · see citing works
Self-citationHughes, L. E., & Rowe, J. B. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00356 · Cited by 63 · see citing works
Self-citationLearning to optimize perceptual decisions through suppressive interactions in the human brain
Frangou, P., Emir, U. E., Karlaftis, V. M., Nettekoven, C., Hinson, E. L., Larcombe, S. J., Bridge, H., Stagg, C. J., & Kourtzi, Z. (2019) · Nature Communications · doi:10.1038/s41467-019-08313-y · Cited by 61 · see citing works
Reorganisation of brain networks in frontotemporal dementia and progressive supranuclear palsy
Hughes, L. E., Ghosh, B. C. P., & Rowe, J. B. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.03.009 · Cited by 60 · see citing works
Self-citationComparison of Neurochemical and BOLD Signal Contrast Response Functions in the Human Visual Cortex
Ip, I. B., Emir, U. E., Parker, A. J., Campbell, J., & Bridge, H. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.3021-18.2019 · Cited by 60 · see citing works
Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia
Rittman, T., Borchert, R. J., Jones, S., Swieten, J. C. V., Borroni, B., Galimberti, D., Masellis, M., Tartaglia, M. C., Graff, C., Tagliavini, F., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.12.009 · Cited by 59 · see citing works
Self-citationBoxer, A. L., Gold, M., Huey, E. D., Hu, W. T., Rosen, H. J., Kramer, J. H., Gao, F., Burton, E. A., Chow, T. W., Kao, A. W., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.03.003 · Cited by 54 · see citing works
Shaw, A. D., Knight, L., Freeman, T. C. A., Williams, G. M., Moran, R. J., Friston, K. J., Walters, J. T. R., & Singh, K. D. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz066 · Cited by 54 · see citing works
FTD spectrum: Neuroimaging across the FTD spectrum
Whitwell, J. L. (2019) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2019.05.009 · Cited by 53 · see citing works
Lagarde, J., Valabrègue, R., Corvol, J., Pineau, F., Ber, I. L., Vidailhet, M., Dubois, B., & Lévy, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080353 · Cited by 51 · see citing works
Managing Cognition in Progressive Supranuclear Palsy
Rittman, T., Coyle-Gilchrist, I. T. S., & Rowe, J. B. (2016) · Neurodegenerative Disease Management · doi:10.2217/nmt-2016-0027 · Cited by 50 · see citing works
Self-citationShaw, A. D., Moran, R., Muthukumaraswamy, S. D., Brealy, J., Linden, D. E. J., Friston, K. J., & Singh, K. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.034 · Cited by 48 · see citing works
Self-citationNutt, D., Wilson, S. J., Lingford-Hughes, A. R., et al. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.08.017 · Cited by 42 · see citing works
Computational modelling of movement-related beta-oscillatory dynamics in human motor cortex
Bhatt, M. B., Bowen, S., Rossiter, H. E., Dupont-Hadwen, J., Moran, R., Friston, K. J., & Ward, N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.078 · Cited by 40 · see citing works
Self-citationLagarde, J., Valabrègue, R., Corvol, J., Garcin, B., Emmanuelle Volle, C., Ber, I. L., Vidailhet, M., Dubois, B., & Lévy, R. (2014) · Brain · doi:10.1093/brain/awu359 · Cited by 38 · see citing works
Spriggs, M. J., Sumner, R. L., McMillan, R. L., Moran, R., Kirk, I. J., & Muthukumaraswamy, S. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.060 · Cited by 38 · see citing works
GABA-ergic Dynamics in Human Frontotemporal Networks Confirmed by Pharmaco-Magnetoencephalography
Adams, N., Hughes, L. E., Phillips, H. N., Shaw, A. D., Murley, A. G., Nesbitt, D. J., Cope, T., Bevan-Jones, W. R., Passamonti, L., & Rowe, J. B. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1689-19.2019 · Cited by 34 · see citing works
Self-citationGilbert, J. R., Symmonds, M., Hanna, M. G., Dolan, R. J., Friston, K. J., & Moran, R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.057 · Cited by 30 · see citing works
Self-citationShaw, A. D., Hughes, L. E., Moran, R., Coyle-Gilchrist, I., Rittman, T., & Rowe, J. B. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhz024 · Cited by 30 · see citing works
Self-citationHong, D., Rankouhi, S. R., Thielen, J.-W., van Asten, J. J. A., & Norris, D. G. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223702 · Cited by 29 · see citing works
Shaw, A. D., Muthukumaraswamy, S. D., Saxena, N., Sumner, R. L., Adams, N., Moran, R., & Singh, K. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117189 · Cited by 26 · see citing works
Self-citationInputs to prefrontal cortex support visual recognition in the aging brain
Gilbert, J. R., & Moran, R. (2016) · Scientific Reports · doi:10.1038/srep31943 · Cited by 25 · see citing works
Gazzina, S., Respondek, G., Compta, Y., Allinson, K. S. J., Spillantini, M. G., Molina‐Porcel, L., Guasp, M., Moftakhar, S., Reich, S. G., Hall, D. A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/520510 · Cited by 24 · see citing works
Self-citationShaw, A. D., Hughes, L. E., Moran, R., Coyle-Gilchrist, I. T. S., Rittman, T., & Rowe, J. B. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/416388 · Cited by 7 · see citing works
Self-citationShaw, A. D., Chandler, H. L., Hamandi, K., Muthukumaraswamy, S. D., Hammers, A., & Singh, K. D. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.04.005 · Cited by 6 · see citing works
Self-citationAponte, E. A., Schöbi, D., Stephan, K. E., & Heinzle, J. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.10.011 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Malpetti, M., Jones, P. S., Cope, T. E., Holland, N., Naessens, M., Rouse, M. A., Rittman, T., Savulich, G., Whiteside, D. J., Street, D., et al. (2023) · Annals of Neurology · doi:10.1002/ana.26543 · Cited by 53 · see citing works
Self-citationNeurophysiological consequences of synapse loss in progressive supranuclear palsy
Adams, N. E., Jafarian, A., Perry, A., Rouse, M. A., Shaw, A. D., Murley, A. G., Cope, T. E., Bevan-Jones, W. R., Passamonti, L., Street, D., et al. (2023) · Brain · doi:10.1093/brain/awac471 · Cited by 21 · see citing works
Self-citationEvidence and implications of abnormal predictive coding in dementia
Kocagoncu, E., Klimovich-Gray, A., Hughes, L. E., & Rowe, J. B. (2021) · Brain · doi:10.1093/brain/awab254 · Cited by 3 · see citing works
Self-citationAlzheimer's disease and its progression reduce pyramidal cell gain and connectivity
Lanskey, J. H., Jafarian, A., Karadag, M., Kocagoncu, E., Williams, R. S., Yadav, P., Quinn, A. J., Pitt, J., Thayanandan, T., Lowe, S., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70805 · Cited by 2 · see citing works
“We used a canonical microcircuit model for evoked responses 23 with healthy adults and those with non-AD dementia, 4,18,24,25 which establishedafrontotemporalnetwork(primaryauditory,superiortem-poral, and inferior frontal regions) responsible for generating the mismatch negativity response.”
Self-citation
- Authors
- Adams, N. E., Hughes, L. E., Rouse, M. A., Phillips, H. N., Shaw, A. D., Murley, A. G., Cope, T. E., Bevan-Jones, W. R., Passamonti, L., Street, D., Holland, N., Nesbitt, D., Friston, K., & Rowe, J. B.
- Affiliations
- University of Cambridge (GB)
- MRC Cognition and Brain Sciences Unit (GB)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Rowe, James B
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-03-12
- Volume
- 144
- Issue
- 7
- Pages
- 2135-2145
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC8370432
- OpenAlex
- W3134821755
- Cited by
- 47
- References
- 82
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 9 · 2023: 10 · 2022: 11 · 2021: 4
- FWCI
- 6.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Brain (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Open Research Exeter (University of Exeter) (submittedVersion, cc-by)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo (cc-by)
- Funders
- Wellcome Trust (103838)
- National Institute for Health Research Cambridge Biomedical Research Centre (BRC-1215-20014)
- Medical Research Council (MC_U105597119, MC_U_00005/12, SUAG/004/91365, SUAG/051 G101400)
- Association of British Neurologists
- Holt Fellowship
- National Institute for Health Research
- Department of Health and Social Care
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- frontotemporal lobar degeneration, behavioral variant frontotemporal dementia, progressive supranuclear palsy, GABAergic dysfunction, tiagabine, GABA reuptake inhibition, dynamic causal modeling, GABA levels, treatment response variability
- MeSH terms
- Tiagabine, Aged, Cerebral Cortex, Double-Blind Method, Female, gamma-Aminobutyric Acid, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Synaptic Transmission, Magnetic Resonance Spectroscopy, Supranuclear Palsy, Progressive, Magnetoencephalography, Cross-Over Studies, Frontotemporal Dementia, GABA Uptake Inhibitors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review