The rises and falls of disconnection syndromes
Abstract
In a brain composed of localized but connected specialized areas, disconnection leads to dysfunction. This simple formulation underlay a range of 19th century neurological disorders, referred to collectively as disconnection syndromes. Although disconnectionism fell out of favour with the move against localized brain theories in the early 20th century, in 1965, an American neurologist brought disconnection to the fore once more in a paper entitled, 'Disconnexion syndromes in animals and man'. In what was to become the manifesto of behavioural neurology, Norman Geschwind outlined a pure disconnectionist framework which revolutionized both clinical neurology and the neurosciences in general. For him, disconnection syndromes were higher function deficits that resulted from white matter lesions or lesions of the association cortices, the latter acting as relay stations between primary motor, sensory and limbic areas. From a clinical perspective, the work reawakened interest in single case studies by providing a useful framework for correlating lesion locations with clinical deficits. In the neurosciences, it helped develop contemporary distributed network and connectionist theories of brain function. Geschwind's general disconnectionist paradigm ruled clinical neurology for 20 years but in the late 1980s, with the re-emergence of specialized functional roles for association cortex, the orbit of its remit began to diminish and it became incorporated into more general models of higher dysfunction. By the 1990s, textbooks of neurology were devoting only a few pages to classical disconnection theory. Today, new techniques to study connections in the living human brain allow us, for the first time, to test the classical formulation directly and broaden it beyond disconnections to include disorders of hyperconnectivity. In this review, on the 40th anniversary of Geschwind's publication, we describe the changing fortunes of disconnection theory and adapt the general framework that evolved from it to encompass the entire spectrum of higher function disorders in neurology and psychiatry.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Aberrant connectivity of a structural or functional network is proposed to lead to the development of clinical symptoms.
“Aberrant connectivity of a structural or functional network (for example in terms of impaired network integration or segregation) is proposed to lead to the development of clinical symptoms.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [25]
Cites
A cortical network for directed attention and unilateral neglect
Mesulam, M. ‐. (1981) · Annals of Neurology · doi:10.1002/ana.410100402 · Cited by 2,498 · see citing works
Perisylvian language networks of the human brain
Catani, M., Jones, D. K., & ffytche, D. H. (2005) · Annals of Neurology · doi:10.1002/ana.20319 · Cited by 1,832 · see citing works
Courchesne, E., & Pierce, K. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.001 · Cited by 968 · see citing works
Mapping auditory hallucinations in schizophrenia using functional magnetic resonance imaging
Shergill, S. S., Brammer, M. J., Williams, S. C. R., Murray, R. M., & McGuire, P. K. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.11.1033 · Cited by 666 · cited 2× · see citing works
“…of combined hodological and topological hyperfunction, with increased activation of Broca’s, Wernicke’s and Geschwind’s territory (Lennox et al., 2000; Shergill et al., 2000) and indirect, diffusion tensor tractography evidence of increased anatomical connectivity between these regions (Hubl et…”
Background
Flagged first, then by citations
Cited by
Sorted by citations
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
The connectomics of brain disorders
Fornito, A., Zalesky, A., & Breakspear, M. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3901 · Cited by 1,734 · see citing works
Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review
Assaf, Y., & Pasternak, O. (2008) · Journal of Molecular Neuroscience · doi:10.1007/s12031-007-0029-0 · Cited by 1,537 · see citing works
The evolution of distributed association networks in the human brain
Buckner, R. L., & Krienen, F. M. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.017 · Cited by 836 · see citing works
How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics
Pulvermüller, F. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.004 · Cited by 631 · see citing works
Jefferies, E. (2013) · Cortex · doi:10.1016/j.cortex.2012.10.008 · Cited by 555 · see citing works
Investigating white matter fibre density and morphology using fixel-based analysis.
Raffelt, D. A., Tournier, J.-D., Smith, R. E., Vaughan, D. N., Jackson, G., Ridgway, G. R., & Connelly, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.029 · Cited by 620 · see citing works
“The importance of white matter axons facilitating microsecond communication between different brain regions is evident from the severe brain dysfunction that arises in disconnection syndromes (Catani and Ffytche, 2005).”
BackgroundMethodTurken, U., Whitfield-Gabrieli, S., Bammer, R., Baldo, J. V., Dronkers, N. F., & Gabrieli, J. D. E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.057 · Cited by 500 · see citing works
Kennedy, K. M., & Raz, N. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.01.001 · Cited by 475 · see citing works
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex
Arslan, S., Ktena, S. I., Makropoulos, A., Robinson, E. C., Rueckert, D., & Parisot, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.014 · Cited by 374 · see citing works
Converging language streams in the human temporal lobe
Spitsyna, G., Warren, J. E., Scott, S. K., Turkheimer, F. E., & Wise, R. J. S. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.0559-06.2006 · Cited by 312 · see citing works
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
Ecker, C. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1251 · Cited by 259 · see citing works
White matter development and early cognition in babies and toddlers
O'Muircheartaigh, J., Dean, D. C., Ginestet, C. E., Walker, L., Waskiewicz, N., Lehman, K., Dirks, H., Piryatinsky, I., & Deoni, S. C. L. (2014) · Human Brain Mapping · doi:10.1002/hbm.22488 · Cited by 183 · see citing works
Atypical diffusion tensor hemispheric asymmetry in autism
Lange, N., DuBray, M. B., Lee, J. E., Froimowitz, M. P., Froehlich, A., Adluru, N., Wright, B., Ravichandran, C., Fletcher, P. T., Bigler, E. D., et al. (2010) · Autism Research · doi:10.1002/aur.162 · Cited by 142 · see citing works
Disturbed resting state eeg synchronization in bipolar disorder: A graph-theoretic analysis
Kim, D.-J., Bolbecker, A. R., Howell, J., Rass, O., Sporns, O., Hetrick, W. P., Breier, A., & O'Donnell, B. F. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.03.007 · Cited by 141 · see citing works
Hallucinations as Top-Down Effects on Perception
Powers, A. R., Kelley, M., & Corlett, P. R. (2016) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.04.003 · Cited by 138 · see citing works
What pain asymbolia really shows.
Klein, C. (2015) · Mind · doi:10.1093/mind/fzu185 · Cited by 134 · see citing works
Prefrontal connectomics: From anatomy to human imaging
Haber, S. N., Liu, H., Seidlitz, J., & Bullmore, E. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01156-6 · Cited by 129 · see citing works
Interaction in isolation: 50 years of insights from split-brain research
Volz, L. J., & Gazzaniga, M. S. (2017) · Brain · doi:10.1093/brain/awx139 · Cited by 86 · see citing works
Panigrahy, A., Schmithorst, V. J., Wisnowski, J. L., Watson, C. G., Bellinger, D. C., Newburger, J. W., & Rivkin, M. J. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.01.013 · Cited by 86 · see citing works
Hart, M. G., Ypma, R. J. F., Romero-Garcia, R., Price, S. J., & Suckling, J. (2016) · Journal of Neurosurgery · doi:10.3171/2015.4.jns142683 · Cited by 74 · see citing works
Rudrauf, D. (2014) · Advances in Neuroscience · doi:10.1155/2014/462765 · Cited by 74 · see citing works
Marebwa, B. K., Fridriksson, J., Yourganov, G., Feenaughty, L., Rorden, C., & Bonilha, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-07607-9 · Cited by 64 · see citing works
Mapping language networks using the structural and dynamic brain connectomes
Del Gaizo, J., Fridriksson, J., Yourganov, G., Hillis, A. E., Hickok, G., Misic, B., Rorden, C., & Bonilha, L. (2017) · eneuro · doi:10.1523/eneuro.0204-17.2017 · Cited by 62 · see citing works
Daianu, M., Mendez, M. F., Baboyan, V. G., Jin, Y., Melrose, R. J., Jimenez, E. E., & Thompson, P. M. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9458-5 · Cited by 64 · see citing works
Anterior insular cortex stimulation and its effects on emotion recognition
Motomura, K., Terasawa, Y., Natsume, A., Iijima, K., Chalise, L., Sugiura, J., Yamamoto, H., Koyama, K., Wakabayashi, T., & Umeda, S. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01895-9 · Cited by 44 · see citing works
Occasional essay: upper motor neuron syndrome in amyotrophic lateral sclerosis
Swash, M., Burke, D., Turner, M. R., Grosskreutz, J., Leigh, P. N., deCarvalho, M., & Kiernan, M. C. (2020) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2019-321938 · Cited by 35 · see citing works
Argyropoulos, G. D., Christidi, F., Karavasilis, E., Velonakis, G., Antoniou, A., Bede, P., Seimenis, I., Kelekis, N., Douzenis, A., Papakonstantinou, O., et al. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110034 · Cited by 24 · see citing works
Functional diffusion tensor imaging at 3 Tesla
Mandl, R. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00817 · Cited by 18 · see citing works
Computational model of visual hallucination in dementia with Lewy bodies
Tsukada, H., Fujii, H., Aihara, K., & Tsuda, I. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.001 · Cited by 17 · see citing works
Active Inference, Novelty and Neglect
Parr, T., & Friston, K. J. (2018) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2018_61 · Cited by 15 · see citing works
- Authors
- Catani, M., & ffytche, D. H.
- Affiliations
- King's College London (GB)
- Corresponding author
- Catani, Marco
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-09-01
- Volume
- 128
- Issue
- 10
- Pages
- 2224-2239
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2060449369
- Cited by
- 863
- References
- 4
- Citations by year
- 2026: 26 · 2025: 33 · 2024: 28 · 2023: 39 · 2022: 44 · 2021: 58 · 2020: 45 · 2019: 29 · 2018: 54 · 2017: 59 · 2016: 38 · 2015: 48 · 2014: 44 · 2013: 62 · 2012: 40
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Neurology › Neurology and Historical Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- disconnection syndrome, Norman Geschwind, white matter lesions, association cortex, hyperconnectivity, distributed brain networks, connectionism, history of neurology, lesion localization, behavioral neurology
- MeSH terms
- Agnosia, Apraxias, Brain Diseases, Brain Mapping, Cerebral Cortex, Humans, Limbic System, Nerve Fibers, Phylogeny, Syndrome, Temporal Lobe, Visual Cortex, Aphasia, Conduction, Alexia, Pure
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