Evidence and implications of abnormal predictive coding in dementia
Open accessAbstract
The diversity of cognitive deficits and neuropathological processes associated with dementias has encouraged divergence in pathophysiological explanations of disease. Here, we review an alternative framework that emphasizes convergent critical features of cognitive pathophysiology. Rather than the loss of ‘memory centres’ or ‘language centres’, or singular neurotransmitter systems, cognitive deficits are interpreted in terms of aberrant predictive coding in hierarchical neural networks. This builds on advances in normative accounts of brain function, specifically the Bayesian integration of beliefs and sensory evidence in which hierarchical predictions and prediction errors underlie memory, perception, speech and behaviour. We describe how analogous impairments in predictive coding in parallel neurocognitive systems can generate diverse clinical phenomena, including the characteristics of dementias. The review presents evidence from behavioural and neurophysiological studies of perception, language, memory and decision-making. The reformulation of cognitive deficits in terms of predictive coding has several advantages. It brings diverse clinical phenomena into a common framework; it aligns cognitive and movement disorders; and it makes specific predictions on cognitive physiology that support translational and experimental medicine studies. The insights into complex human cognitive disorders from the predictive coding framework may therefore also inform future therapeutic strategies.
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?
Disruption to this mechanism may impair signal processing and perception in a noisy environment, as observed in AD.
“Disruption to this mechanism may impair signal processing and perception in a noisy environment, 6 as observed in AD. 6”
From Alzheimer's disease and its progression reduce pyramidal cell gain and connectivity (2025) · cites this paper as [6]
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
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388 · see citing works
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328 · see citing works
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924 · cited 1× · see citing works
“‘Precision’ represents the level of certainty, and describes the confidence attributed to prediction errors at each level of the cortical hierarchy.(3,5) For example, in noisy settings with high levels of uncertainty (e.”
BackgroundRao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · see citing works
A theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578 · see citing works
Kutas, M., & Federmeier, K. D. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.131123 · Cited by 4,377 · see citing works
Bregman, A. S. (1990) · The MIT Press eBooks · doi:10.7551/mitpress/1486.001.0001 · Cited by 3,320 · see citing works
Auditory Scene Analysis: The Perceptual Organization of Sound
Bregman, A. S., & McAdams, S. E. (1994) · The Journal of the Acoustical Society of America · doi:10.1121/1.408434 · Cited by 3,067 · see citing works
Berridge, C. W., & Waterhouse, B. D. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(03)00143-7 · Cited by 2,529 · see citing works
Neurodegenerative 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
The hippocampal-VTA loop: controlling the entry of information into long-term memory
Lisman, J. E., & Grace, A. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.05.002 · Cited by 1,983 · see citing works
Handbook of Motivation and Cognition: Foundations of Social Behavior, Vol. 2.
Wagner, D. G., Higgins, E. T., & Sorrentino, R. M. (1991) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2072281 · Cited by 1,970 · see citing works
The neural and computational bases of semantic cognition
Ralph, M. A. L., Jefferies, E., Patterson, K., & Rogers, T. T. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.150 · Cited by 1,864 · see citing works
Uncertainty, Neuromodulation, and Attention
Yu, A. J., & Dayan, P. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.026 · Cited by 1,774 · see citing works
Cognition and anatomy in three variants of primary progressive aphasia
Gorno‐Tempini, M. L., Dronkers, N. F., Rankin, K. P., Ogar, J. M., Phengrasamy, L., Rosen, H. J., Johnson, J. K., Weiner, M. W., & Miller, B. L. (2004) · Annals of Neurology · doi:10.1002/ana.10825 · Cited by 1,608 · see citing works
Predictive coding under the free-energy principle
Friston, K., & Kiebel, S. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0300 · Cited by 1,579 · see citing works
Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia
Fletcher, P. C., & Frith, C. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2536 · Cited by 1,462 · see citing works
Zeigler‐Hill, V., & Shackelford, T. K. (2020) · Encyclopedia of Personality and Individual Differences · doi:10.1007/978-3-319-24612-3_302663 · Cited by 1,301 · see citing works
Prospection: experiencing the future
Gilbert, D. T., & Wilson, T. D. (2007) · Science · doi:10.1126/science.1144161 · Cited by 1,238 · see citing works
DeLong, K. A., Urbach, T. P., & Marta Kutas, A. (2005) · Nature Neuroscience · doi:10.1038/nn1504 · Cited by 1,236 · see citing works
Normal and pathological oscillatory communication in the brain
Schnitzler, A., & Groß, J. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1650 · Cited by 1,229 · see citing works
When the world becomes ‘too real’: a Bayesian explanation of autistic perception
Pellicano, E., & Burr, D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.08.009 · Cited by 1,156 · see citing works
The proactive brain: using analogies and associations to generate predictions
Bar, M. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.05.005 · Cited by 1,144 · see citing works
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074 · see citing works
The Hippocampus, Memory, and Place Cells
Eichenbaum, H., Dudchenko, P., Wood, E., Shapiro, M., & Tanila, H. (1999) · Neuron · doi:10.1016/s0896-6273(00)80773-4 · Cited by 1,064 · see citing works
The Predictive Coding Account of Psychosis
Sterzer, P., Adams, R. A., Fletcher, P., Frith, C., Lawrie, S. M., Muckli, L., Petrovic, P., Uhlhaas, P., Voss, M., & Corlett, P. R. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.05.015 · Cited by 941 · see citing works
On the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929 · see citing works
Action and behavior: a free-energy formulation
Friston, K. J., Daunizeau, J., Kilner, J., & Kiebel, S. J. (2010) · Biological Cybernetics · doi:10.1007/s00422-010-0364-z · Cited by 866 · cited 1× · see citing works
“When the relative precision of the goal prior is low, it will fail to propagate through the hierarchy down to effector mechanisms, and the outcome is a lack of behaviour.(57,85,101) The failure of active inference thereby shifts from lack of movement (akinesia) to a lack of goal-directed behaviour (apathy) according t…”
BackgroundHow schema and novelty augment memory formation
van Kesteren, M. T. R., Ruiter, D. J., Fernández, G., & Henson, R. N. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.02.001 · Cited by 860 · see citing works
Expectation in perceptual decision making: neural and computational mechanisms
Summerfield, C., & de Lange, F. P. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3838 · Cited by 832 · see citing works
Predictions not commands: Active inference in the motor system
Adams, R. A., Shipp, S., & Friston, K. J. (2013) · Brain Structure and Function · doi:10.1007/s00429-012-0475-5 · Cited by 765 · see citing works
The Interactive Account of ventral occipitotemporal contributions to reading
Price, C. J., & Devlin, J. T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.04.001 · Cited by 712 · see citing works
The planum temporale as a computational hub
Griffiths, T. D., & Warren, J. D. (2002) · Trends in Neurosciences · doi:10.1016/s0166-2236(02)02191-4 · Cited by 641 · see citing works
An aberrant precision account of autism
Lawson, R. P., Rees, G., & Friston, K. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00302 · Cited by 641 · see citing works
Do people use language production to make predictions during comprehension?
Pickering, M. J., & Garrod, S. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.12.002 · Cited by 633 · see citing works
Dynamic causal modeling of evoked responses in EEG and MEG
David, O., Kiebel, S. J., Harrison, L. M., Mattout, J., Kilner, J. M., & Friston, K. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.10.045 · Cited by 620 · see citing works
Visual hallucinations in Lewy body disease relate to Lewy bodies in the temporal lobe
Harding, A., Broe, G. A., & Halliday, G. M. (2002) · Brain · doi:10.1093/brain/awf033 · Cited by 608 · see citing works
Fractionating impulsivity: neuropsychiatric implications
Dalley, J. W., & Robbins, T. W. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.8 · Cited by 607 · see citing works
Predictive coding explains binocular rivalry: an epistemological review
Hohwy, J., Roepstorff, A., & Friston, K. (2008) · Cognition · doi:10.1016/j.cognition.2008.05.010 · Cited by 546 · see citing works
A neuronal model of predictive coding accounting for the mismatch negativity.
Wacongne, C., Changeux, J.-P., & Dehaene, S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5003-11.2012 · Cited by 542 · see citing works
Hallucinations and strong priors
Corlett, P. R., Horga, G., Fletcher, P. C., Alderson-Day, B., Schmack, K., & Powers, A. R. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.12.001 · Cited by 534 · see citing works
Computational psychiatry: the brain as a phantastic organ
Friston, K. J., Stephan, K. E., Montague, R., & Dolan, R. J. (2014) · The Lancet Psychiatry · doi:10.1016/s2215-0366(14)70275-5 · Cited by 531 · see citing works
Wicha, N., Moreno, E., & Kutas, M. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929041920487 · Cited by 512 · see citing works
The anatomic basis of pure alexia
Damasio, A. R., & Damasio, H. (1983) · Neurology · doi:10.1212/wnl.33.12.1573 · Cited by 492 · see citing works
Active inference, sensory attenuation and illusions
Brown, H., Adams, R. A., Parees, I., Edwards, M., & Friston, K. (2013) · Cognitive Processing · doi:10.1007/s10339-013-0571-3 · Cited by 488 · see citing works
Dynamic predictive coding by the retina
Hosoya, T., Baccus, S. A., & Meister, M. (2005) · Nature · doi:10.1038/nature03689 · Cited by 468 · see citing works
A neoHebbian framework for episodic memory; role of dopamine-dependent late LTP
Lisman, J., Grace, A. A., & Duzel, E. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.07.006 · Cited by 465 · 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
Cholinergic Switching Within Neocortical Inhibitory Networks
Xiang, Z., Huguenard, J. R., & Prince, D. A. (1998) · Science · doi:10.1126/science.281.5379.985 · Cited by 438 · see citing works
Collerton, D., Perry, E. K., & McKeith, I. G. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05000130 · Cited by 437 · see citing works
A review of predictive coding algorithms
Spratling, M. W. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2015.11.003 · Cited by 437 · cited 1× · see citing works
“linear estimation of parameters,(6) Bayesian inference,(9) a review of models).(10) There are also alternatives to predictive coding, that nonetheless posit that the brain performs a probabilistic inference in hierarchical networks, and maintains a generative (i.”
BackgroundMore than one pathway to action understanding
Kilner, J. M. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.06.005 · Cited by 385 · see citing works
The anatomy of apathy: a neurocognitive framework for amotivated behaviour
Le Heron, C., Apps., M. A. J., & Husain, M. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.07.003 · Cited by 380 · see citing works
Buchsbaum, B. R., Baldo, J. V., Okada, K., Berman, K. F., Dronkers, N. F., D’Esposito, M., & Hickok, G. S. (2011) · Brain and Language · doi:10.1016/j.bandl.2010.12.001 · Cited by 355 · see citing works
Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases
Betts, M. J., Kirilina, E. P., Otaduy, M. C. G., Ivanov, D., Acosta‐Cabronero, J., Callaghan, M. F., Lambert, C., Cárdenas‐Blanco, A., Pine, K., Passamonti, L., et al. (2019) · Brain · doi:10.1093/brain/awz193 · Cited by 349 · see citing works
Self-citationPark, H., Ince, R. A. A., Schyns, P. G., Thut, G., & Groß, J. (2015) · Current Biology · doi:10.1016/j.cub.2015.04.049 · Cited by 344 · see citing works
Visual hallucinations in Parkinson's disease: a review and phenomenological survey
Barnes, J. (2001) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.70.6.727 · Cited by 341 · see citing works
Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease
Stam, C. J., Jones, B. F., Manshanden, I., van Walsum, A. M. V. C., Montez, T., Verbunt, J. P. A., de Munck, J. C., van Dijk, B. W., Berendse, H. W., & Scheltens, P. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.033 · Cited by 328 · see citing works
O'Doherty, J. P., Buchanan, T. W., Seymour, B., & Dolan, R. J. (2006) · Neuron · doi:10.1016/j.neuron.2005.11.014 · Cited by 322 · see citing works
Free Energy, Precision and Learning: The Role of Cholinergic Neuromodulation
Moran, R. J., Campo, P., Symmonds, M., Stephan, K. E., Dolan, R. J., & Friston, K. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4255-12.2013 · Cited by 312 · see citing works
With or without you: predictive coding and Bayesian inference in the brain
Aitchison, L., & Lengyel, M. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.010 · Cited by 308 · see citing works
Phasic norepinephrine: A neural interrupt signal for unexpected events
Dayan, P., & Yu, A. J. (2006) · Network Computation in Neural Systems · doi:10.1080/09548980601004024 · Cited by 302 · see citing works
Vuust, P., & Witek, M. A. G. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01111 · Cited by 298 · see citing works
Diederich, N. J., Goetz, C. G., & Stebbins, G. T. (2004) · Movement Disorders · doi:10.1002/mds.20308 · Cited by 290 · see citing works
Dissociating N400 Effects of Prediction from Association in Single-word Contexts
Lau, E. F., Holcomb, P. J., & Kuperberg, G. R. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00328 · Cited by 290 · see citing works
The anatomy of choice: dopamine and decision-making.
Friston, K., Schwartenbeck, P., FitzGerald, T., Moutoussis, M., Behrens, T., & Dolan, R. J. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0481 · Cited by 289 · see citing works
Predictive coding of music – Brain responses to rhythmic incongruity
Vuust, P., Østergaard, L., Pallesen, K. J., Bailey, C. J., & Roepstorff, A. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.014 · Cited by 277 · see citing works
Tan, H., Wade, C., & Brown, P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3204-15.2016 · Cited by 271 · see citing works
A system in the human brain for predicting the actions of others
Ramnani, N., & Miall, R. C. (2003) · Nature Neuroscience · doi:10.1038/nn1168 · Cited by 250 · see citing works
Information theory, novelty and hippocampal responses: unpredicted or unpredictable?
Strange, B. A., Duggins, A., Penny, W. D., Dolan, R. J., & Friston, K. J. (2005) · Neural Networks · doi:10.1016/j.neunet.2004.12.004 · Cited by 250 · see citing works
Düzel, E., Bunzeck, N., Guitart-Masip, M., & Düzel, S. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.08.006 · Cited by 249 · see citing works
Temporal predictive codes for spoken words in auditory cortex
Gagnepain, P., Henson, R. N., & Davis, M. H. (2012) · Current Biology · doi:10.1016/j.cub.2012.02.015 · Cited by 235 · see citing works
Glutamatergic model psychoses: prediction error, learning, and inference
Corlett, P. R., Honey, G. D., Krystal, J. H., & Fletcher, P. C. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.163 · Cited by 229 · see citing works
Carbajal, G. V., & Malmierca, M. S. (2018) · Trends in Hearing · doi:10.1177/2331216518784822 · Cited by 228 · see citing works
Predictive, interactive multiple memory systems
Henson, R. N., & Gagnepain, P. (2010) · Hippocampus · doi:10.1002/hipo.20857 · Cited by 226 · see citing works
THE TOPOGRAPHY OF CALLOSAL READING PATHWAYS: A CASE-CONTROL ANALYSIS
BINDER, J. R., & MOHR, J. P. (1992) · Brain · doi:10.1093/brain/115.6.1807 · Cited by 221 · see citing works
A predictive coding framework for rapid neural dynamics during sentence-level language comprehension
Lewis, A., & BASTIAANSEN, M. C. M. (2015) · Cortex · doi:10.1016/j.cortex.2015.02.014 · Cited by 213 · see citing works
Dynamic Causal Modeling of the Response to Frequency Deviants
Garrido, M. I., Kilner, J. M., Kiebel, S. J., & Friston, K. J. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90291.2008 · Cited by 208 · see citing works
The role of noradrenaline in cognition and cognitive disorders
Holland, N., Robbins, T. W., & Rowe, J. B. (2021) · Brain · doi:10.1093/brain/awab111 · Cited by 201 · see citing works
Self-citationNeurotransmitter 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-citationHallucinations and perceptual inference
Friston, K. J. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05290131 · Cited by 196 · see citing works
Acetylcholine in cortical inference
Yu, A. J., & Dayan, P. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00058-8 · Cited by 195 · see citing works
Altered cortical visual processing in PD with hallucinations
Stebbins, G. T., Goetz, C. G., Carrillo, M. C., Bangen, K. J., Turner, D. A., Glover, G. H., & Gabrieli, J. D. E. (2004) · Neurology · doi:10.1212/01.wnl.0000141853.27081.bd · Cited by 189 · see citing works
Characteristics of Visual Hallucinations in Parkinson Disease Dementia and Dementia With Lewy Bodies
Mosimann, U. P., Rowan, E. N., Partington, C. E., Collerton, D., Littlewood, E., O'Brien, J. T., Burn, D. J., & McKeith, I. G. (2006) · The American Journal of Geriatric Psychiatry · doi:10.1097/01.jgp.0000192480.89813.80 · Cited by 188 · see citing works
Dopamine Modulates Episodic Memory Persistence in Old Age
Chowdhury, R., Guitart‐Masip, M., Bunzeck, N., Dolan, R. J., & Düzel, E. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1278-12.2012 · Cited by 179 · see citing works
The Functional Anatomy of Time: What and When in the Brain
Friston, K. J., & Buzsáki, G. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.05.001 · Cited by 179 · see citing works
Discourse-Based Word Anticipation During Language Processing: Prediction or Priming?
Otten, M., & Berkum, J. J. A. V. (2008) · Discourse Processes · doi:10.1080/01638530802356463 · Cited by 178 · see citing works
Buzsáki, G., & Llinás, R. (2017) · Science · doi:10.1126/science.aan8869 · Cited by 175 · cited 1× · see citing works
“The representation of ordinal structure may appear as encoding sequences or locations, but it can also be seen as part of a more fundamental generative model of the environment—an ‘inference machine’ engaged in predictive coding.(123,124) Such a hippocampalbased hierarchy operates over multiple timescales.”
BackgroundPareidolias: complex visual illusions in dementia with Lewy bodies
Uchiyama, M., Nishio, Y., Yokoi, K., Hirayama, K., Imamura, T., Shimomura, T., & Mori, E. (2012) · Brain · doi:10.1093/brain/aws126 · Cited by 171 · see citing works
Peter Hagoort, A. (1993) · Brain and Language · doi:10.1006/brln.1993.1043 · Cited by 167 · see citing works
Predictions penetrate perception: Converging insights from brain, behaviour and disorder
O’Callaghan, C., Kveraga, K., Shine, J. M., Adams, R. B., & Bar, M. (2016) · Consciousness and Cognition · doi:10.1016/j.concog.2016.05.003 · Cited by 162 · see citing works
Encoding uncertainty in the hippocampus
Harrison, L. M., Duggins, A., & Friston, K. J. (2006) · Neural Networks · doi:10.1016/j.neunet.2005.11.002 · Cited by 158 · see citing works
Mismatch Negativity in Aging and in Alzheimer’s and Parkinson’s Diseases
Pekkonen, E. (2000) · Audiology and Neurotology · doi:10.1159/000013883 · Cited by 157 · see citing works
A nice surprise? Predictive processing and the active pursuit of novelty
Clark, A. (2018) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-017-9525-z · Cited by 156 · see citing works
Language structure in the brain: A fixation-related fMRI study of syntactic surprisal in reading
Henderson, J. M., Choi, W., Lowder, M. W., & Ferreira, F. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.050 · Cited by 155 · see citing works
Cerebral atrophy in Parkinson's disease patients with visual hallucinations
Ramírez‐Ruiz, B., Martí, M., TOLOSA, E. S., Giménez, M., Bargalló, N., Valldeoriola, F., & Junqué, C. (2007) · European Journal of Neurology · doi:10.1111/j.1468-1331.2007.01768.x · Cited by 154 · see citing works
Wolpe, N., Ingram, J. N., Tsvetanov, K. A., Geerligs, L., Kievit, R., Henson, R. N., Wolpert, D. M., Cam-CAN, TYLER, L. K., Brayne, C., et al. (2016) · Nature Communications · doi:10.1038/ncomms13034 · Cited by 154 · 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-citationFreezing of gait in Parkinson’s disease
Okuma, Y. (2006) · Journal of Neurology · doi:10.1007/s00415-006-7007-2 · Cited by 146 · see citing works
Computational Neuropsychology and Bayesian Inference
Parr, T., Rees, G. E., & Friston, K. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00061 · Cited by 146 · see citing works
Sales, A. C., Friston, K. J., Jones, M. W., Pickering, A. E., & Moran, R. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006267 · Cited by 146 · see citing works
Chow, T. W., Binns, M. A., Cummings, J. L., Lam, I., Black, S. E., Miller, B. L., Freedman, M., Stuss, D. T., & van Reekum, R. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.92 · Cited by 145 · see citing works
Decision-making with explicit and stable rules in mild Alzheimer's disease
Delazer, M., Sinz, H., Zamarian, L., & Benke, T. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.01.006 · Cited by 143 · see citing works
Predicting language: MEG evidence for lexical preactivation
Dikker, S., & Liina Pylkkänen, A. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.08.004 · Cited by 143 · see citing works
Targeting impulsivity in Parkinson’s disease using atomoxetine
Kehagia, A. A., Housden, C. R., Regenthal, R., Barker, R. A., Müller, U., Rowe, J. B., Sahakian, B. J., & Robbins, T. W. (2014) · Brain · doi:10.1093/brain/awu117 · Cited by 139 · see citing works
Self-citationNobis, L., & Masud Husain, B. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.12.007 · Cited by 139 · see citing works
Apathy and impulsivity in frontotemporal lobar degeneration syndromes
Lansdall, C. J., Coyle-Gilchrist, I. T. S., Jones, P. S., Rodríguez, P. V., Wilcox, A., Wehmann, E., Dick, K. M., Robbins, T. W., & Rowe, J. B. (2017) · Brain · doi:10.1093/brain/awx101 · Cited by 136 · see citing works
Self-citationMultiple Modes of Impulsivity in Parkinson's Disease
Nombela, C., Rittman, T., Robbins, T. W., & Rowe, J. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085747 · Cited by 134 · see citing works
Self-citationSwaab, T. Y., Brown, C. M., & Peter Hagoort, A. (1998) · Neuropsychologia · doi:10.1016/s0028-3932(97)00174-7 · Cited by 133 · see citing works
Auditory sensory memory impairment in Alzheimerʼs disease
Pekkonen, E., Jousmäki, V., Könönen, M., Reinikainen, K., & Partanen, J. (1994) · Neuroreport · doi:10.1097/00001756-199412000-00033 · Cited by 133 · see citing works
Lewis, A., Wang, L., & BASTIAANSEN, M. C. M. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.01.003 · Cited by 133 · see citing works
Rahman, S., Robbins, T. W., Hodges, J. R., Mehta, M. A., Nestor, P. J., Clark, L., & Sahakian, B. J. (2005) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300886 · Cited by 131 · see citing works
Wlotko, E. W., & Federmeier, K. D. (2015) · Cortex · doi:10.1016/j.cortex.2015.03.014 · Cited by 129 · see citing works
Sánchez‐Castañeda, C., Reñé, R., Ramírez‐Ruiz, B., Campdelacreu, J., Gascón, J., Falcón, C., Calopa, M., Jaumà, S., Juncadella, M., & Junqué, C. (2010) · Movement Disorders · doi:10.1002/mds.22873 · Cited by 126 · see citing works
Nicotinic modulation of human auditory sensory memory: Evidence from mismatch negativity potentials
Baldeweg, T., WONG, D., & Stephan, K. E. (2005) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.07.014 · Cited by 123 · see citing works
The effects of ketamine on the mismatch negativity (MMN) in humans - A meta-analysis.
Rosburg, T., & Kreitschmann-Andermahr, I. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.10.062 · Cited by 123 · see citing works
Peraza, L. R., Kaiser, M., Firbank, M., Graziadio, S., Bonanni, L., ONOFRJ, M. C., Colloby, S. J., Blamire, A. M., O'Brien, J. T., & Taylor, J. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.03.013 · Cited by 121 · see citing works
Perceptual learning of degraded speech by minimizing prediction error
Sohoglu, E., & Davis, M. H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523266113 · Cited by 117 · see citing works
Phonological Processing in Primary Progressive Aphasia
Henry, M. L., Wilson, S. M., Babiak, M. C., Mandelli, M. L., Beeson, P. M., Miller, Z., & Gorno‐Tempini, M. L. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00901 · Cited by 113 · see citing works
Pharmacological interventions for apathy in Alzheimer's disease
Ruthirakuhan, M. T., Herrmann, N., Abraham, E. H., Chan, S., & Lanctôt, K. L. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012197.pub2 · Cited by 113 · see citing works
Attentional modulation of firing rate and synchrony in a model cortical network
Buia, C., & Tiesinga, P. H. E. (2006) · Journal of Computational Neuroscience · doi:10.1007/s10827-006-6358-0 · Cited by 112 · see citing works
Modeling ketamine effects on synaptic plasticity during the mismatch negativity
Schmidt, A., Diaconescu, A. O., Kometer, M., Friston, K. J., Stephan, K. E., & Vollenweider, F. X. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs238 · Cited by 109 · see citing works
Chennu, 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
Sensorimotor beta power reflects the precision-weighting afforded to sensory prediction errors
Palmer, C. E., Auksztulewicz, R., Ondobaka, S., & Kilner, J. M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.034 · Cited by 107 · see citing works
Shine, J. M., Muller, A. J., O’Callaghan, C., Hornberger, M., Halliday, G. M., & Lewis, S. J. (2015) · npj Parkinson's Disease · doi:10.1038/npjparkd.2015.3 · Cited by 106 · see citing works
A Technological Review of Wearable Cueing Devices Addressing Freezing of Gait in Parkinson’s Disease
Sweeney, D., Quinlan, L. R., Browne, P., Richardson, M., Meskell, P., & ÓLaighin, G. (2019) · Sensors · doi:10.3390/s19061277 · Cited by 103 · see citing works
Auditory Sensory Memory and the Cholinergic System: Implications for Alzheimer's Disease
Pekkonen, E., Hirvonen, J., Jääskeläinen, I. P., Kaakkola, S., & Huttunen, J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0805 · Cited by 102 · see citing works
Cerebral Metabolic Dysfunction in Patients with Dementia with Lewy Bodies and Visual Hallucinations
Perneczky, R., Drzezga, A. E., Boecker, H., Förstl, H., Kurz, A., & Häussermann, P. (2008) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000132084 · Cited by 101 · see citing works
Atomoxetine restores the response inhibition network in Parkinson’s disease
Rae, C. L., Nombela, C., Rodríguez, P. V., Ye, Z., Hughes, L. E., Jones, P. S., Ham, T. E., Rittman, T., Coyle-Gilchrist, I. T. S., Regenthal, R., et al. (2016) · Brain · doi:10.1093/brain/aww138 · Cited by 98 · see citing works
Self-citationWeiler, J. A., Suchan, B., & Daum, I. (2010) · Hippocampus · doi:10.1002/hipo.20695 · Cited by 93 · see citing works
It’s either a cook or a baker: Patients with conduction aphasia get the gist but lose the trace
Baldo, J. V., Klostermann, E. C., & Dronkers, N. F. (2008) · Brain and Language · doi:10.1016/j.bandl.2007.12.007 · Cited by 91 · see citing works
Episodic future thinking is impaired in the behavioural variant of frontotemporal dementia
Irish, M., Hodges, J. R., & Piguet, O. (2013) · Cortex · doi:10.1016/j.cortex.2013.03.002 · Cited by 89 · see citing works
Predictive Coding and Pitch Processing in the Auditory Cortex
Kumar, S., Sedley, W., Nourski, K. V., Kawasaki, H., Oya, H., Patterson, R. D., Howard, M. A., Friston, K. J., & Griffiths, T. D. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00021 · Cited by 88 · see citing works
Impairments of auditory scene analysis in Alzheimer's disease
Goll, J., Kim, L., Ridgway, G., Hailstone, J., Lehmann, M., Buckley, A. H., Crutch, S., & Warren, J. (2011) · Brain : a journal of neurology · doi:10.1093/brain/awr260 · Cited by 86 · see citing works
Wolpe, N., Moore, J. W., Rae, C. L., Rittman, T., Altena, E., Haggard, P., & Rowe, J. B. (2014) · Brain · doi:10.1093/brain/awt302 · Cited by 86 · see citing works
Self-citationMapping from Sound to Meaning: Reduced Lexical Activation in Broca's Aphasics
Aydelott, J., Blumstein, S. E., & Sullivan, K. M. (2001) · Brain and Language · doi:10.1006/brln.2001.2500 · 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-citationHuang, X., Chen, X., Yan, N., Jones, J. A., Wang, E. Q., Chen, L., Guo, Z., Li, W., Liu, P., & Liu, H. (2016) · Human Brain Mapping · doi:10.1002/hbm.23306 · Cited by 79 · see citing works
Neural Mechanisms of Object Naming and Word Comprehension in Primary Progressive Aphasia
Hurley, R. S. E., Paller, K. A., Rogalski, E. J., & Mesulam, M. M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5984-11.2012 · Cited by 78 · see citing works
Active Inference, Evidence Accumulation, and the Urn Task
FitzGerald, T. H. B., Schwartenbeck, P., Moutoussis, M., Dolan, R. J., & Friston, K. J. (2014) · Neural Computation · doi:10.1162/neco_a_00699 · Cited by 77 · see citing works
O’Callaghan, C., Hall, J. M., Tomassini, A., Muller, A. J., Walpola, I. C., Moustafa, A. A., Shine, J. M., & Lewis, S. J. G. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.04.007 · Cited by 77 · see citing works
Phillips, 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-citationBrønnick, K., Nordby, H., Larsen, J. P., & Aarsland, D. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.02.021 · Cited by 74 · see citing works
Slowly Progressive Pure Word Deafness
Otsuki, M., Soma, Y., Sato, M., Homma, A., & Tsuji, S. (1998) · European Neurology · doi:10.1159/000007923 · Cited by 73 · see citing works
Exploring the Processing Continuum of Single-Word Comprehension in Aphasia
Moineau, S., Dronkers, N. F., & Bates, E. A. (2005) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2005/061 · Cited by 70 · see citing works
Resting activity in visual and corticostriatal pathways in Parkinson's disease with hallucinations
Yao, N., Pang, S. Y.-Y., Cheung, C., Chang, R. S., Lau, K. K., Suckling, J., Yu, K., Mak, H. K., McAlonan, G. M., Ho, S., et al. (2014) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2014.11.020 · Cited by 69 · see citing works
Mori, S., Mori, E., Iseki, E., & Kosaka, K. (2006) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.2006.01485.x · Cited by 68 · see citing works
Progressive Amusia and Aprosody
Confavreux, C., Croisile, B., Garassus, P., Aimard, G., & Trillet, M. (1992) · Archives of Neurology · doi:10.1001/archneur.1992.00530330095023 · Cited by 68 · see citing works
Passamonti, L., Lansdall, C. J., & Rowe, J. B. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.12.015 · Cited by 68 · see citing works
Self-citationEffects of Wrist Tendon Vibration on Targeted Upper-Arm Movements in Poststroke Hemiparesis
Conrad, M. O., Scheidt, R. A., & Schmit, B. D. (2010) · Neurorehabilitation and neural repair · doi:10.1177/1545968310378507 · Cited by 66 · see citing works
Neural dynamics of semantic composition
Lyu, B., Choi, H., Marslen‐Wilson, W. D., Clarke, A., Randall, B., & TYLER, L. K. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1903402116 · Cited by 66 · see citing works
Wang, L., Kuperberg, G. R., & Jensen, O. B. (2018) · eLife · doi:10.7554/elife.39061 · Cited by 66 · see citing works
Auditory spatial processing in Alzheimer’s disease
Golden, H. L., Nicholas, J. M., Yong, K. X. X., Downey, L. E., Schott, J. M., Mummery, C. J., Crutch, S. J., & Warren, J. D. (2014) · Brain · doi:10.1093/brain/awu337 · Cited by 65 · see citing works
Increased weighting on prior knowledge in Lewy body-associated visual hallucinations
Zarkali, A., Adams, R. A., Psarras, S., Leyland, L., Rees, G. E., & Weil, R. S. (2019) · Brain Communications · doi:10.1093/braincomms/fcz007 · Cited by 65 · see citing works
Hughes, L. E., & Rowe, J. B. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00356 · Cited by 63 · see citing works
Self-citationPrediction Signatures in the Brain: Semantic Pre-Activation during Language Comprehension
Maeß, B., Mamashli, F., Obleser, J., Helle, L., & Friederici, A. D. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00591 · Cited by 62 · see citing works
Pharmacological Dissociation of Novelty Responses in the Human Brain
Bunzeck, N., Guitart‐Masip, M., Dolan, R. J., & Düzel, E. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs420 · Cited by 61 · see citing works
Moisello, C., Blanco, D., Lin, J., Panday, P., Kelly, S. P., Quartarone, A., Rocco, A. D., Cirelli, C., Tononi, G., & Ghilardi, M. F. (2015) · Brain and Behavior · doi:10.1002/brb3.374 · Cited by 61 · see citing works
The role of morphology in phoneme prediction: Evidence from MEG
Ettinger, A., Linzen, T., & Marantz, A. (2014) · Brain and Language · doi:10.1016/j.bandl.2013.11.004 · Cited by 59 · see citing works
Decoding the Cortical Dynamics of Sound-Meaning Mapping
Kocagöncü, E., Clarke, A., Devereux, B. J., & TYLER, L. K. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2858-16.2016 · Cited by 59 · see citing works
Rosch, R. E., Auksztulewicz, R., Leung, P. D., Friston, K. J., & Baldeweg, T. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.07.003 · Cited by 56 · see citing works
Bizovičar, N., Dreo, J., Koritnik, B., & Zidar, J. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.12.108 · Cited by 55 · see citing works
Serial position effects in mild cognitive impairment
Howieson, D. B., Mattek, N., Seeyle, A. M., Dodge, H. H., Wasserman, D. K., Zitzelberger, T., & Kaye, J. A. (2010) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2010.516742 · Cited by 53 · see citing works
A New Framework to Explain Sensorimotor Beta Oscillations
Palmer, C. E., Zapparoli, L., & Kilner, J. M. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.007 · Cited by 53 · see citing works
Reading therapy strengthens top–down connectivity in patients with pure alexia
Woodhead, Z., Penny, W. D., Barnes, G. R., Crewes, H., Wise, R. J. S., Price, C. J., & Leff, A. P. (2013) · Brain · doi:10.1093/brain/awt186 · Cited by 51 · see citing works
Averbeck, B. B., Djamshidian, A., O’Sullivan, S. S., Housden, C. R., Roiser, J. P., & Lees, A. J. (2013) · Behavioral Neuroscience · doi:10.1037/a0032079 · Cited by 48 · see citing works
Pezzoli, S., Cagnin, A., Bandmann, O., & Venneri, A. (2017) · Brain Sciences · doi:10.3390/brainsci7070084 · Cited by 48 · see citing works
Sensory attenuation in Parkinson’s disease is related to disease severity and dopamine dose
Wolpe, N., Zhang, J., Nombela, C., Ingram, J. N., Wolpert, D. M., Cam-CAN, TYLER, L. K., Brayne, C., Bullmore, E. T., Calder, A. C., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-33678-3 · Cited by 48 · see citing works
Self-citationPrefrontal Computation as Active Inference
Parr, T., Rikhye, R. V., Halassa, M. M., & Friston, K. J. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz118 · Cited by 48 · see citing works
Specific auditory memory induced by nucleus basalis stimulation depends on intrinsic acetylcholine
Miasnikov, A. A., Chen, J. C., & Weinberger, N. M. (2008) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2008.05.010 · Cited by 47 · see citing works
Golden, H. L., Clark, C. N., Nicholas, J. M., Cohen, M. H., Slattery, C. F., Paterson, R. W., Foulkes, A., Schott, J. M., Mummery, C. J., Crutch, S. J., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160359 · Cited by 47 · see citing works
GABAergic cortical network physiology in frontotemporal lobar degeneration
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., et al. (2021) · Brain · doi:10.1093/brain/awab097 · Cited by 47 · see citing works
Self-citationNeural correlates of visual hallucinations in dementia with Lewy bodies
Heitz, C., Noblet, V., Cretin, B., Philippi, N., Kremer, L. D., Stackfleth, M., Hubelé, F., Armspach, J. P., Namer, I. J., & Blanc, F. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-014-0091-0 · Cited by 46 · see citing works
Cunha, C., Guerreiro, M., de Mendonça, A., Oliveira, P. E., & Santana, I. J. (2012) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2012.689814 · Cited by 44 · see citing works
Beste, C., Mückschel, M., Rosales, R. L., Domingo, A., Lee, L., Ng, A. R., Klein, C., & Münchau, A. M. (2017) · Movement Disorders · doi:10.1002/mds.26895 · Cited by 43 · see citing works
Dopamine modulates processing speed in the human mesolimbic system
Eckart, C., & Bunzeck, N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.001 · Cited by 40 · see citing works
Apathy, but not depression, predicts all-cause dementia in cerebral small vessel disease
Tay, J., Morris, R. G., Tuladhar, A. M., Masud Husain, B., de Leeuw, F., & Markus, H. S. (2020) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-323092 · Cited by 38 · see citing works
Engeland, C. G., Mahoney, C., Mohr, E., Ilivitsky, V., & Knott, V. (2002) · Pharmacology Biochemistry and Behavior · doi:10.1016/s0091-3057(02)00711-6 · Cited by 37 · see citing works
Jiang, S., Yan, C., Qiao, Z., Yao, H., Jiang, S., Qiu, X., Yang, X., Fang, D., Yang, Y., Zhang, L., et al. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.03.032 · Cited by 37 · see citing works
Apathy is associated with reduced precision of prior beliefs about action outcomes.
Hezemans, F. H., Wolpe, N., & Rowe, J. B. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000739 · Cited by 37 · see citing works
Self-citationBelleville, S., Ménard, M.-C., & Lepage, É. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.06.011 · Cited by 35 · see citing works
False Recognition in Alzheimer Disease: Evidence from Categorized Pictures
Budson, A. E., Michalska, K. J., Sullivan, A. L., Rentz, D. M., Daffner, K. R., & Schacter, D. L. (2003) · Cognitive and Behavioral Neurology · doi:10.1097/00146965-200303000-00003 · Cited by 35 · 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-citationOne bird with two stones: Abnormal word length effects in pure alexia and semantic dementia
Cumming, T. B., Patterson, K. E., Verfaellie, M. H., & Graham, K. S. (2006) · Cognitive Neuropsychology · doi:10.1080/02643290600674143 · Cited by 33 · see citing works
Macerollo, A., Chen, J., Korlipara, P., Foltynie, T., Rothwell, J. C., Edwards, M. J., & Kilner, J. M. (2016) · Movement Disorders · doi:10.1002/mds.26493 · Cited by 33 · see citing works
Ruzzoli, M., Pirulli, C., Mazza, V., Miniussi, C., & Brignani, D. (2016) · Scientific Reports · doi:10.1038/srep33167 · Cited by 33 · see citing works
Grindrod, C. M., & Baum, S. R. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.08.023 · Cited by 32 · see citing works
Laptinskaya, D., Thurm, F., Küster, O. C., Fissler, P., Schlee, W., Kolassa, S., von Arnim, C. A. F., & Kolassa, I.-T. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00005 · Cited by 31 · see citing works
Shaw, 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-citationChanges in sensitivity to stimulus deviance in Alzheimerʼs disease
Gaeta, H., Friedman, D., Ritter, W., & Cheng, J. C. (1999) · Neuroreport · doi:10.1097/00001756-199902050-00014 · Cited by 29 · see citing works
Brueggen, K., Kasper, E., Dyrba, M., Bruno, D., Pomara, N., Ewers, M., Duering, M., Bürger, K., & Teipel, S. J. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00244 · Cited by 28 · see citing works
How tightly are production and comprehension interwoven?
Pickering, M. J., & Garrod, S. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00238 · Cited by 26 · see citing works
Klimovich-Gray, A., Tyler, L., Randall, B., Kocagoncu, E., Devereux, B., & Marslen-Wilson, W. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3573-17.2018 · Cited by 25 · see citing works
Self-citationLin, I.-F., Mochida, T., Asada, K., Ayaya, S., Kumagaya, S., & Kato, M. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00510 · Cited by 23 · see citing works
High‐frequency peripheral vibration decreases completion time on a number of motor tasks
Macerollo, A., Palmer, C. E., Foltynie, T., Korlipara, P., Limousin, P. D., Edwards, M. J., & Kilner, J. M. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14050 · Cited by 23 · see citing works
Evans, S., Dowell, N. G., Tabet, N., King, S. L., Hutton, S. B., & Rusted, J. M. (2017) · Brain and Behavior · doi:10.1002/brb3.612 · Cited by 20 · see citing works
Alien limb syndrome: A Bayesian account of unwanted actions
Wolpe, N., Hezemans, F. H., & Rowe, J. B. (2020) · Cortex · doi:10.1016/j.cortex.2020.02.002 · Cited by 20 · see citing works
Self-citationThe Von Restorff effect in ageing and Alzheimer’s disease
Vitali, P., Minati, L., Chiarenza, G. A., Brugnolo, A., Girtler, N. G., Nobili, F. M., Leo, C., Rosati, P., & Rodríguez, G. (2006) · Neurological Sciences · doi:10.1007/s10072-006-0662-3 · Cited by 19 · see citing works
Increased fMRI signal with age in familial Alzheimer's disease mutation carriers
Braskie, M. N., Medina, L. D., Rodríguez‐Agudelo, Y., Geschwind, D. H., Macías-Islas, M. Á., Cummings, J. L., Bookheimer, S. Y., & Ringman, J. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.09.028 · Cited by 19 · see citing works
Impaired memory-guided attention in asymptomatic APOE4 carriers
Zimmermann, J. F., Alain, C., & Butler, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-44471-1 · Cited by 19 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [88]Lansdall CJ Coyle-Gilchrist ITS Jones PS Apathy and impulsivity in frontotemporal lobar degeneration syndromes Brain 2017 6 1 140 6 1792 1807 10.1093/brain/awx101 28486594 PMC5868210 · DOI
- [98]Betts MJ Kirilina E Otaduy MCG Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases Brain: a journal of neurology 2019 9 1 142 9 2558 2571 10.1093/brain/awz193 31327002 PMC6736046 · DOI
- [189]Barlow HB What is the computational goal of the neocortex? Koch C Davis JL Large-Scale Neuronal Theories of the Brain MIT Press 1994 chap Chapter 1
Cited by
Sorted by citations
A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia
Migeot, J. A., Duran-Aniotz, C. A., Signorelli, C. M., Piguet, O., & Ibáñez, A. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.08.005 · Cited by 76 · see citing works
Intrinsic timescales and predictive allostatic interoception in brain health and disease
Ibanez, A., & Northoff, G. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105510 · Cited by 36 · see citing works
Neurophysiological 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-citationProcessing of Degraded Speech in Brain Disorders
Jiang, J., Benhamou, E., Waters, S., Johnson, J. C. S., Volkmer, A., Weil, R. S., Marshall, C. R., Warren, J. D., & Hardy, C. J. D. (2021) · Brain Sciences · doi:10.3390/brainsci11030394 · Cited by 17 · see citing works
Hazelton, J. L., Carneiro, F., Maito, M., Richter, F., Legaz, A., Altschuler, F., Cubillos-Pinilla, L., Chen, Y., Doherty, C. P., Baez, S., et al. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.10.013 · Cited by 21 · see citing works
Perry, A., Hughes, L. E., Adams, N., Naessens, M., Murley, A. G., Rouse, M. A., Street, D., Jones, P. S., Cope, T., Kocagöncü, E., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02114-6 · Cited by 14 · see citing works
Self-citationAllostatic interoception and brain health: From neurodegeneration to social adversities
Migeot, J., & Ibáñez, A. (2025) · Encyclopedia of the Human Brain · doi:10.1016/b978-0-12-820480-1.00025-5 · Cited by 10 · see citing works
Greater tau pathology is associated with altered predictive coding
Gjini, K., Casey, C., Tanabe, S., Bo, A., Parker, M., White, M., Kunkel, D., Lennertz, R., Pearce, R. A., Betthauser, T., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac209 · Cited by 9 · see citing works
Alzheimer'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
“6 The precision of prediction errors is proposed to be encoded by the gain modulation of pyramidal cells in superficial layers of cortex.”
Self-citationA neuroanatomical and cognitive model of impaired social behaviour in frontotemporal dementiaPreprint
Rouse, M. A., Binney, R. J., Patterson, K. E., Rowe, J. B., & Ralph, M. A. L. (2023) · doi:10.31234/osf.io/b3kt6 · Cited by 2 · see citing works
Self-citation
- Authors
- Kocagoncu, E., Klimovich-Gray, A., Hughes, L. E., & Rowe, J. B.
- Affiliations
- Cambridge Centre for Frontotemporal Dementia, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0SZ, UK
- Basque Centre on Cognition, Brain and Language, San Sebastian 20009, Spain
- MRC Cognition and Brain Sciences Unit (GB)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-07-08
- Volume
- 144
- Issue
- 11
- Pages
- 3311-3321
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC8677549
- OpenAlex
- W3034547662
- Cited by
- 3
- References
- 210
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 1
- FWCI
- 0.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Brain (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Communities in ADDI (Universidad del Pais Vasco) (submittedVersion, cc-by)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- arXiv (Cornell University)
- Apollo
- Funders
- Dementias Platform UK and Alzheimer’s Research UK (RG94383, RG89702)
- Wellcome Trust (103838)
- Medical Research Council (SUAG/051 G101400)
- National Institute for Health Research Cambridge Biomedical Research Centre
- European Union’s Horizon 2020 Research and Innovation Programme
- Marie Skłodowska-Curie (798971)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Keywords
- predictive coding, dementia, Bayesian brain, prediction error, hierarchical neural networks, memory, perception, language, decision-making, cognitive impairment, neurodegenerative diseases
- MeSH terms
- Brain, Cognition, Dementia, Humans
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
