Cholinergic basal forebrain structure influences the reconfiguration of white matter connections to support residual memory in mild cognitive impairment
Open accessAbstract
The fornix and hippocampus are critical to recollection in the healthy human brain. Fornix degeneration is a feature of aging and Alzheimer's disease. In the presence of fornix damage in mild cognitive impairment (MCI), a recognized prodrome of Alzheimer's disease, recall shows greater dependence on other tracts, notably the parahippocampal cingulum (PHC). The current aims were to determine whether this shift is adaptive and to probe its relationship to cholinergic signaling, which is also compromised in Alzheimer's disease. Twenty-five human participants with MCI and 20 matched healthy volunteers underwent diffusion MRI, behavioral assessment, and volumetric measurement of the basal forebrain. In a regression model for recall, there was a significant group × fornix interaction, indicating that the association between recall and fornix structure was weaker in patients. The opposite trend was present for the left PHC. To further investigate this pattern, two regression models were generated to account for recall performance: one based on fornix microstructure and the other on both fornix and left PHC. The realignment to PHC was positively correlated with free recall but not non-memory measures, implying a reconfiguration that is beneficial to residual memory. There was a positive relationship between realignment to PHC and basal forebrain gray matter volume despite this region demonstrating atrophy at a group level, i.e., the cognitive realignment to left PHC was most apparent when cholinergic areas were relatively spared. Therefore, cholinergic systems appear to enable adaptation to injury even as they degenerate, which has implications for functional restoration.
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?
Fornix pathology might lead to a greater reliance on the retrosplenial and parahippocampal cingulum.
“A further implication is that fornix pathology might lead to a greater reliance on the retrosplenial and parahippocampal cingulum, as appears to occur in MCI (Metzler-Baddeley et al., 2012a; Ray et al., 2015).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Ray et al., 2015
The Abstract and Discussion report that, in MCI, recall becomes more dependent on the parahippocampal cingulum as the association with the damaged fornix weakens. The paper does not establish greater reliance on the retrosplenial cingulum; its reported shift concerns the left parahippocampal cingulum. (LLM, conf=0.88)
Experimental — accuracy not yet measured
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
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · see citing works
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122 · see citing works
Delis-Kaplan Executive Function System
Delis, D. C., Kaplan, E., & Kramer, J. H. (2012) · PsycTESTS Dataset · doi:10.1037/t15082-000 · Cited by 2,683 · see citing works
Albert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,630 · see citing works
Randolph, C., Tierney, M. C., Mohr, E., & Chase, T. N. (1998) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.20.3.310.823 · Cited by 2,519 · see citing works
Tournier, J., Calamante, F., & Connelly, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.016 · Cited by 2,191 · 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
Mesulam, M. ‐., Mufson, E. J., Levey, A. I., & Wainer, B. H. (1983) · Journal of Comparative Neurology · doi:10.1002/cne.902140206 · Cited by 1,962 · see citing works
Plasticity in gray and white: neuroimaging changes in brain structure during learning
Zatorre, R. J., Fields, R. D., & Johansen-Berg, H. (2012) · Nature Neuroscience · doi:10.1038/nn.3045 · Cited by 1,685 · see citing works
The B‐matrix must be rotated when correcting for subject motion in DTI data
Leemans, A., & Jones, D. K. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21890 · Cited by 1,266 · see citing works
Self-citationControlling the familywise error rate in functional neuroimaging: a comparative review
Nichols, T. E., & Hayasaka, S. (2003) · Statistical Methods in Medical Research · doi:10.1191/0962280203sm341ra · Cited by 1,210 · see citing works
Free water elimination and mapping from diffusion MRI
Pasternak, O., Sochen, N., Gur, Y., Intrator, N., & Assaf, Y. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22055 · Cited by 1,092 · see citing works
Tournier, J., Yeh, C., Calamante, F., Cho, K.-H., Connelly, A., & Lin, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.002 · Cited by 591 · see citing works
THE NEUROANATOMY OF AMNESIA: A CRITIQUE OF THE HIPPOCAMPAL MEMORY HYPOTHESIS
HOREL, J. A. (1978) · Brain · doi:10.1093/brain/101.3.403 · Cited by 493 · see citing works
Interleaving brain systems for episodic and recognition memory.
Aggleton, J., & Brown, M. W. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.08.003 · Cited by 465 · see citing works
Self-citationProbabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution
Jeurissen, B., Leemans, A., Jones, D. K., Tournier, J., & Sijbers, J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21032 · Cited by 369 · see citing works
Self-citationAggleton, J. P. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.09.005 · Cited by 319 · see citing works
Self-citationA disproportionate role for the fornix and mammillary bodies in recall versus recognition memory
Tsivilis, D., Vann, S. D., Denby, C. E., Roberts, N., Mayes, A. R., Montaldi, D., & Aggleton, J. P. (2008) · Nature Neuroscience · doi:10.1038/nn.2149 · Cited by 297 · see citing works
Self-citationHow and how not to correct for CSF-contamination in diffusion MRI
Metzler-Baddeley, C., O'Sullivan, M. J., Bells, S., Pasternak, O., & Jones, D. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.043 · Cited by 291 · see citing works
Self-citationGrothe, M. J., Heinsen, H., & Teipel, S. J. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.06.019 · Cited by 283 · see citing works
Self-citationMeasurement of basal forebrain atrophy in Alzheimer's disease using MRI
Teipel, S. J., Flatz, W. H., Heinsen, H., Bokde, A. L. W., Schoenberg, S. O., Stöckel, S., Dietrich, O., Reiser, M. F., Möller, H., & Hampel, H. J. (2005) · Brain · doi:10.1093/brain/awh589 · Cited by 248 · see citing works
Self-citationFrontotemporal connections in episodic memory and aging: a diffusion MRI tractography study
Metzler-Baddeley, C., Jones, D. K., Belaroussi, B., Aggleton, J. P., & O'Sullivan, M. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2317-11.2011 · Cited by 247 · see citing works
Self-citationSubregional Basal Forebrain Atrophy in Alzheimer's Disease: A Multicenter Study
Kilimann, I., Grothe, M. J., Heinsen, H., Alho, E. J. L., Grinberg, L. T., Amaro, E., dos Santos, G. A. B., da Silva, R. E., Mitchell, A. J., Frisoni, G. B., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132345 · Cited by 239 · see citing works
Self-citationStiff‐man syndrome treated with intrathecal baclofen
Penn, R. D., & Mangieri, E. A. (1993) · Neurology · doi:10.1212/wnl.43.11.2412 · Cited by 235 · see citing works
Aggleton, J. P. (2000) · Brain · doi:10.1093/brain/123.4.800 · Cited by 231 · see citing works
Self-citationMuir, J. L., Page, K. J., Sirinathsinghji, D. J. S., Robbins, T. W., & Everitt, B. J. (1993) · Behavioural Brain Research · doi:10.1016/0166-4328(93)90128-d · Cited by 199 · see citing works
Septohippocampal Acetylcholine: Involved in but not Necessary for Learning and Memory?Preprint
Parent, M. B., & Baxter, M. G. (2004) · Learning & Memory · doi:10.1101/lm.69104 · Cited by 194 · see citing works
Vann, S., Tsivilis, D., Denby, C., Quamme, J., Yonelinas, A., Aggleton, J., Montaldi, D., & Mayes, A. (2009) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0812097106 · Cited by 184 · see citing works
Self-citationAMNESIA IN MAN FOLLOWING TRANSECTION OF THE FORNIX
Gaffan, D., & Gaffan, E. A. (1991) · Brain · doi:10.1093/brain/114.6.2611 · Cited by 182 · see citing works
Douaud, G., Menke, R. A. L., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Zamboni, G., Matthews, P. M., Sollberger, M., & Smith, S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4437-12.2013 · Cited by 180 · see citing works
Grothe, M. J., Heinsen, H., & Teipel, S. J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.10.018 · Cited by 179 · see citing works
Self-citationWesterberg, C. E., Paller, K. A., Weıntraub, S., Mesulam, M. M., Holdstock, J. S., Mayes, A. R., & Reber, P. J. (2006) · Neuropsychology · doi:10.1037/0894-4105.20.2.193 · Cited by 171 · see citing works
Recollection- and familiarity-based memory in healthy aging and amnestic mild cognitive impairment.
Anderson, N. D., Ebert, P. L., Jennings, J. M., Grady, C. L., Cabeza, R., & Graham, S. J. (2008) · Neuropsychology · doi:10.1037/0894-4105.22.2.177 · Cited by 154 · see citing works
Correlation of fornix damage with memory impairment in six cases of colloid cyst removal
McMackin, D., Cockburn, J., Anslow, P., & Gaffan, D. (1995) · Acta Neurochirurgica · doi:10.1007/bf02307408 · Cited by 142 · see citing works
Amnesia following traumatic bilateral fornix transection
D’Esposito, M., Verfaellie, M. H., ALEXANDER, M. P., & Katz, D. I. (1995) · Neurology · doi:10.1212/wnl.45.8.1546 · Cited by 140 · see citing works
Pathological False Alarm Rates Following Damage to the Left Frontal Cortex
Parkin, A. J., Bindschaedler, C. R., Harsent, L., & Metzler‐Baddeley, C. (1996) · Brain and Cognition · doi:10.1006/brcg.1996.0055 · Cited by 132 · see citing works
Self-citationGaffan, D. (2002) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1110 · Cited by 131 · see citing works
Fornix system efferent projections in the squirrel monkey: An experimental degeneration study
Poletti, C. E., & Creswell, G. F. (1977) · The Journal of Comparative Neurology · doi:10.1002/cne.901750107 · Cited by 128 · see citing works
Effects of muscarinic blockade in perirhinal cortex during visual recognition
Tang, Y., Mishkin, M., & Aigner, T. G. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.23.12667 · Cited by 125 · see citing works
Cholinergic system function and cognition in mild cognitive impairment
Haense, C., Kalbe, E., Herholz, K., Hohmann, C., Neumaier, B., Krais, R., & Heiss, W. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.08.015 · Cited by 121 · see citing works
Origin and topography of fibers contributing to the fornix in macaque monkeys
Saunders, R. C., & Aggleton, J. P. (2007) · Hippocampus · doi:10.1002/hipo.20276 · Cited by 121 · see citing works
Self-citationFornix microstructure correlates with recollection but not familiarity memory
Rudebeck, S. R., Scholz, J., Millington, R., Rohenkohl, G., Johansen-Berg, H., & Lee, A. C. H. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4707-09.2009 · Cited by 121 · see citing works
Cholinergic Pathways and the Ascending Reticular Activating System of the Human Braina
Mesulam, M. M. (1995) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1995.tb17472.x · Cited by 120 · see citing works
Nowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.05.2186 · Cited by 120 · see citing works
Sexton, C. E., Mackay, C. E., Lonie, J. A., Bastin, M. E., Terrière, E., O’Carroll, R. E., & Ebmeier, K. P. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.07.005 · Cited by 120 · see citing works
Sarter, M. F., & Bruno, J. P. (2002) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2002.02004.x · Cited by 113 · see citing works
H.M.'s contributions to neuroscience: A review and autopsy studies
Augustinack, J. C., van der Kouwe, A. J. W., Salat, D. H., Benner, T., Stevens, A. A., Annese, J., Fischl, B. R., Frosch, M. P., & Corkin, S. (2014) · Hippocampus · doi:10.1002/hipo.22354 · Cited by 113 · see citing works
Fiber pathways of basal forebrain cholinergic neurons in monkeys
Kitt, C. A., Mitchell, S. J., DeLong, M. R., Wainer, B. H., & Price, D. L. (1987) · Brain Research · doi:10.1016/0006-8993(87)90783-9 · Cited by 111 · see citing works
Selective immunolesions of hippocampal cholinergic input fail to impair spatial working memory
McMahan, R. W., Sobel, T. J., & Baxter, M. G. (1997) · Hippocampus · doi:10.1002/(sici)1098-1063(1997)7:2 · Cited by 109 · see citing works
Temporal association tracts and the breakdown of episodic memory in mild cognitive impairment
Metzler‐Baddeley, C., Hunt, S., Jones, D. K., Leemans, A., Aggleton, J. P., & O'Sullivan, M. J. (2012) · Neurology · doi:10.1212/wnl.0b013e31827689e8 · Cited by 102 · see citing works
Self-citationA specific role for septohippocampal acetylcholine in memory?
Easton, A., Douchamps, V., Eacott, M. J., & Lever, C. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.07.022 · Cited by 99 · see citing works
Free and cued selective reminding and selective reminding in the elderly
Grober, E. H., Merling, A., Heimlich, T., & Lipton, R. B. (1997) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/01688639708403750 · Cited by 74 · see citing works
CSF contamination contributes to apparent microstructural alterations in mild cognitive impairment
Berlot, R., Metzler-Baddeley, C., Jones, D. K., & O'Sullivan, M. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.031 · Cited by 72 · see citing works
Self-citationAggleton, J. P., Friedman, D. P., & Mishkin, M. (1987) · Experimental Brain Research · doi:10.1007/bf00247288 · Cited by 70 · see citing works
Self-citationKoliatsos, V. E., Martin, L. J., Walker, L. C., Richardson, R. T., DeLong, M. R., & Price, D. L. (1988) · Brain Research · doi:10.1016/0006-8993(88)90535-5 · Cited by 67 · see citing works
Acetylcholine Facilitates Recovery of Episodic Memory after Brain Damage
Croxson, P. L., Browning, P. G. F., Gaffan, D., & Baxter, M. G. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2947-12.2012 · Cited by 54 · see citing works
Browning, P. G. F., Gaffan, D., Croxson, P. L., & Baxter, M. G. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp097 · Cited by 46 · see citing works
Seo, Y., Shinar, H., Morita, Y., & Navon, G. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199909)42:3 · Cited by 19 · see citing works
Brain tissue modifications induced by cholinergic therapy in Alzheimer's disease
Bozzali, M., Parker, G. J. M., Spanò, B., Serra, L., Giulietti, G., Perri, R., Magnani, G., Marra, C., Vita, M. G., Caltagirone, C., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.22130 · Cited by 19 · see citing works
Gao, F., Pettersen, J. A., Bocti, C., Nestor, S. M., Kiss, A., & Black, S. E. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.01.009 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Wechsler D (1999) Wechsler Adult Intelligence Scale-3rd UK Edition (WAIS- III UK). Oxford, UK: Psychological Corporation and Pearson Assessment.
Cited by
Sorted by citations
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
“A further implication is that fornix pathology might lead to a greater reliance on the retrosplenial and parahippocampal cingulum, as appears to occur in MCI (Metzler-Baddeley et al., 2012a; Ray et al., 2015).”
InfluentialSelf-citationBasal Forebrain Cholinergic Circuits and Signaling in Cognition and Cognitive Decline
Ballinger, E. C., Ananth, M. R., Talmage, D. A., & Role, L. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.006 · Cited by 735 · see citing works
The role of the medial prefrontal cortex in cognition, ageing and dementia
Jobson, D. D., Hase, Y., Clarkson, A. N., & Kalaria, R. N. (2021) · Brain Communications · doi:10.1093/braincomms/fcab125 · Cited by 338 · see citing works
Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration
Fernández‐Cabello, S., Kronbichler, M., Dijk, K. R. A. V., Goodman, J. A., Spreng, R. N., Schmitz, T. W., & Initiative, O. B. O. T. A. D. N. (2020) · Brain · doi:10.1093/brain/awaa012 · Cited by 154 · see citing works
Hoy, A. R., Ly, M., Carlsson, C. M., Okonkwo, O. C., Zetterberg, H., Blennow, K., Sager, M. A., Asthana, S., Johnson, S. C., Alexander, A. L., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173982 · Cited by 125 · see citing works
Bohnen, N. I., Grothe, M. J., Ray, N. J., Müller, M. L. T. M., & Teipel, S. J. (2018) · Current Geriatrics Reports · doi:10.1007/s13670-018-0234-4 · Cited by 124 · see citing works
Self-citationTeipel, S. J., Grothe, M. J., Zhou, J. H., Sepulcre, J., Dyrba, M., Sorg, C., & Babiloni, C. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000995 · Cited by 115 · see citing works
Self-citationDissecting the Fornix in Basic Memory Processes and Neuropsychiatric Disease: A Review
Benear, S. L., Ngo, C. T., & Olson, I. R. (2020) · Brain Connectivity · doi:10.1089/brain.2020.0749 · Cited by 84 · see citing works
Fritz, H.-C., Ray, N. J., Dyrba, M., Sorg, C., Teipel, S. J., & Grothe, M. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24417 · Cited by 71 · see citing works
Self-citationA second wind for the cholinergic system in Alzheimer’s therapy
Douchamps, V., & Mathis, C. (2017) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000300 · Cited by 58 · see citing works
Cholinergic Basal Forebrain Volumes Predict Gait Decline in Parkinson's Disease
Wilson, J., Yarnall, A. J., Craig, C. E., Galna, B., Lord, S., Morris, R., Lawson, R. A., Alcock, L., Duncan, G. W., Khoo, T. K., et al. (2020) · Movement Disorders · doi:10.1002/mds.28453 · Cited by 53 · see citing works
Self-citationCognitive Recovery After Stroke: Memory
O'Sullivan, M. J., Li, X., Galligan, D. E., & Pendlebury, S. T. (2022) · Stroke · doi:10.1161/strokeaha.122.041497 · Cited by 53 · see citing works
Self-citationLista, S., Vergallo, A., Teipel, S. J., Lemercier, P., Giorgi, F. S., Gabelle, A., Garaci, F., Mercuri, N. B., Babiloni, C., Gaire, B. P., et al. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101819 · Cited by 46 · see citing works
Self-citationChristiansen, K., Aggleton, J. P., Parker, G. D., O'Sullivan, M. J., Vann, S. D., & Metzler‐Baddeley, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.055 · Cited by 43 · see citing works
Self-citationKai Xin San ameliorates scopolamine-induced cognitive dysfunction
Zhang, S., Wang, Q., Wei-xiong, L., Xu, Y., Wang, X.-C., Xu, T., Li, H., Hei, S., Luo, N., Wang, H., et al. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.249227 · Cited by 43 · see citing works
Huang, L., Chen, X., Sun, W., Chen, H., Ye, Q., Yang, D., Li, M., Luo, C., Ma, J., Shao, P., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.598242 · Cited by 40 · see citing works
Grothe, M. J., Scheef, L., Bäuml, J., Meng, C., Daamen, M., Baumann, N., Zimmer, C., Teipel, S. J., Bartmann, P., Boecker, H., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.12.008 · Cited by 37 · see citing works
Self-citationDeep brain stimulation of fornix for memory improvement in Alzheimer’s disease: A critical review
Li, R., Zhang, C., Rao, Y., & Yuan, T. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101668 · Cited by 34 · see citing works
Bott, J.-B., Héraud, C., Cosquer, B., Herbeaux, K., Aubert, J., Sartori, M., Goutagny, R., & Mathis, C. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1174-16.2016 · Cited by 31 · see citing works
O’Sullivan, S., Heinsen, H., Grinberg, L. T., Chimelli, L. M. C., Amaro, E., Saldiva, P. H. N., Jeanquartier, F., Jean-Quartier, C., Martin, M. D. G. M., Sajid, M. I., et al. (2019) · Brain Informatics · doi:10.1186/s40708-019-0096-3 · Cited by 31 · see citing works
Self-citationA review of brain regions and associated post-concussion symptoms
Danielli, E., Simard, N., DeMatteo, C. A., Kumbhare, D. A., Ulmer, S., & Noseworthy, M. D. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1136367 · Cited by 29 · see citing works
Kucinski, A. J., Phillips, K. B., Cherian, A. K., & Sarter, M. F. (2019) · Psychopharmacology · doi:10.1007/s00213-019-05354-5 · Cited by 29 · see citing works
Cholinergic and hippocampal systems facilitate cross-domain cognitive recovery after stroke
O'Sullivan, M. J., Oestreich, L., Wright, P., & Clarkson, A. N. (2022) · Brain · doi:10.1093/brain/awac070 · Cited by 30 · see citing works
Self-citationLancaster, M. A., Seidenberg, M., Smith, J. C., Nielson, K. A., Woodard, J. L., Durgerian, S., & Rao, S. M. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000904 · Cited by 27 · see citing works
Xia, E., Xu, F., Hu, C., Kumal, J. P. P., Tang, X., Mao, D., Li, Y., Wu, D., Zhang, R., Wu, S., et al. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.08.010 · Cited by 22 · see citing works
Deep Brain Stimulation in Alzheimer’s Disease: Targeting the Nucleus Basalis of Meynert
Chen, Y., Shu, K., & Kang, H. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201141 · Cited by 23 · see citing works
Cacciaglia, R., Molinuevo, J. L., Falcón, C., Sánchez‐Benavides, G., Gramunt, N., Brugulat‐Serrat, A., Esteller, M., Morán, S., Fauria, K., & Gispert, J. D. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101818 · Cited by 22 · see citing works
The fornix supports episodic memory during childhood
Hoffman, L. J., Ngo, C. T., Canada, K. L., Pasternak, O., Zhang, F., Riggins, T., & Olson, I. R. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac022 · Cited by 19 · see citing works
Palmer, D. D., Creighton, S. D., Prado, V. F., Prado, M. A. M., Choleris, E., & Winters, B. D. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.050 · Cited by 14 · see citing works
Marín-Marín, L., Costumero, V., Belloch, V., Escudero, J. V., Baquero, M., Parcet, M. A., & Ávila, C. (2019) · European Journal of Neurology · doi:10.1111/ene.14135 · Cited by 14 · see citing works
Harı, E., Kizilates-Evin, G., Kurt, E., Bayram, A., Ulaşoğlu-Yıldız, Ç., Gurvit, H. I., & Demıralp, T. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.06.008 · Cited by 11 · see citing works
Qiu, T., Zeng, Q., Luo, X., Xu, T., Shen, Z., Xu, X., Wang, C., Li, K., Huang, P., Li, X., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.755630 · Cited by 11 · see citing works
In Vivo Volumetry of the Cholinergic Basal Forebrain
Grothe, M. J., Kilimann, I., Grinberg, L. T., Heinsen, H., & Teipel, S. J. (2018) · Neuromethods · doi:10.1007/978-1-4939-7674-4_15 · Cited by 11 · see citing works
Self-citationCholinergic neurotransmitter system: a potential marker for post-stroke cognitive recovery
Geranmayeh, F. (2022) · Brain · doi:10.1093/brain/awac142 · Cited by 9 · see citing works
The cholinergic basal forebrain and its role in neurodegeneration
Cykowski, M. D., & Masdeu, J. C. (2025) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlaf112 · Cited by 8 · see citing works
Zhou, Y., Wei, L., Gao, S., Wang, J., & Hu, Z. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1209378 · Cited by 8 · see citing works
Chakraborty, S., Lee, S. K., Arnold, S. M., Haast, R. A. M., KHAN, A. R., & Schmitz, T. W. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15990 · Cited by 8 · see citing works
Liu, S., Zhang, B., Fang, R., Rueckert, D., & Zimmer, V. A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43993-3_33 · Cited by 8 · see citing works
Neurochemistry of the Central Nervous System
Ascenzi, B. M., Myers, M. W., & Buccilli, B. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-822404-5.00016-4 · Cited by 5 · see citing works
What can the topology of white matter structural networks tell us about mild cognitive impairment?
Berlot, R., & O'Sullivan, M. J. (2017) · Future Neurology · doi:10.2217/fnl-2016-0022 · Cited by 5 · see citing works
Self-citationBerlot, R., Koritnik, B., Pirtošek, Z., & Ray, N. J. (2021) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2021.117443 · Cited by 4 · see citing works
Self-citationGollan, J. K., Dong, H., Bruno, D., Nierenberg, J. J., Nóbrega, J. N., Grothe, M. J., Pollock, B. G., Marmar, C. R., Teipel, S. J., Csernansky, J. G., et al. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.04.009 · Cited by 3 · see citing works
Self-citationKaileva, N. A., Kulesh, A. A., Gorst, N. K., Bykova, A. Y., Евгеньевич, Д. В., Sobyanin, K., Shardakov, I. N., & Shestakov, V. V. (2019) · Neurology neuropsychiatry Psychosomatics · doi:10.14412/2074-2711-2019-1-28-35 · Cited by 2 · see citing works
Niear, M. A. D., Smith, G. R., Robinson, M., Moses-Hampton, M., Lakhmani, P. G., Upright, N. A., Krause, E. L., & Ramirez, J. J. (2023) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2023.107723 · Cited by 1 · see citing works
Zhang, Q., Singh, P., Peng, D. W., Peng, E. Y., Burns, J. M., Swerdlow, R. H., & Suo, W. Z. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107619 · Cited by 1 · see citing works
An integrated analysis of the extended hippocampal system across species
Christiansen, K. Y. (2017) · ORCA Online Research @Cardiff (Cardiff University)
TACR3 variant confers resilience to aging and Alzheimer’s diseasePreprint
Ruffini, N., Fischer, F. U., Slotos, R. S., Goschke, J., Scholz, L., Knaepen, K., Hüttelmaier, S., Morrison, H., Steffan, T., Pabst, A.-S., et al. (2026) · medRxiv · doi:10.64898/2026.06.06.26355071
Self-citation
- Authors
- Ray, N. J., Metzler-Baddeley, C., Khondoker, M. R., Grothe, M. J., Teipel, S., Wright, P., Heinsen, H., Jones, D. K., Aggleton, J. P., & O'Sullivan, M. J.
- Affiliations
- King's College London (GB)
- Universitätsmedizin Rostock (DE)
- German Center for Neurodegenerative Diseases (DE)
- University of Würzburg (DE)
- Cardiff University (GB)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-01-14
- Volume
- 35
- Issue
- 2
- Pages
- 739-747
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4293419
- OpenAlex
- W2170978105
- Cited by
- 48
- References
- 62
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 6 · 2022: 7 · 2021: 5 · 2020: 3 · 2019: 7 · 2018: 4 · 2017: 5 · 2016: 7
- FWCI
- 4.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- e-space (Manchester Metropolitan University) (submittedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Research Bank (Australian Catholic University) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- DZNE Pub (submittedVersion)
- Funders
- Wellcome Trust (G0701912, 096646)
- National Institute for Health and Care Research
- King's College London
- Medical Research Council (K022113, MR/K022113/1, G0701912)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- mild cognitive impairment, fornix, cholinergic system, basal forebrain, free recall, recollection, gray matter volume, hippocampus
- MeSH terms
- Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Models, Neurological, Mental Recall, Prosencephalon, Fornix, Brain, Cognitive Dysfunction, Memory, Episodic, White Matter
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
