Cited by 122Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment ResearchMemory and Neural Mechanisms

The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.

Fornix as an imaging marker for episodic memory deficits in healthy aging and in various neurological disorders

Open access

Douet, Vanessa, Chang, Linda·2015·Frontiers in Aging Neuroscience

DOI 10.3389/fnagi.2014.00343PMC PMC4294158

Open this paper in CoChat — free account Open PDF

Abstract

The fornix is a part of the limbic system and constitutes the major efferent and afferent white matter tracts from the hippocampi. The underdevelopment of or injuries to the fornix are strongly associated with memory deficits. Its role in memory impairments was suggested long ago with cases of surgical forniceal transections. However, recent advances in brain imaging techniques, such as diffusion tensor imaging, have revealed that macrostructural and microstructural abnormalities of the fornix correlated highly with declarative and episodic memory performance. This structure appears to provide a robust and early imaging predictor for memory deficits not only in neurodegenerative and neuroinflammatory diseases, such as Alzheimer's disease and multiple sclerosis, but also in schizophrenia and psychiatric disorders, and during neurodevelopment and "typical" aging. The objective of the manuscript is to present a systematic review regarding published brain imaging research on the fornix, including the development of its tracts, its role in various neurological diseases, and its relationship to neurocognitive performance in human studies.

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

Crossref · 10.3389/fnagi.2014.00343

Cites

145 of 145 references verified0 citation errors · 0 not checkable

Statistics

Figure 1 The fornix across lifespan. (A) Anatomy of the fornix in the adult brain. Courtesy of Dr. Kenichi Oishi. (B) 3D reconstruction of the developmental tract of the fornix from 13 weeks of gestational age to adulthood. (C) Developmental trajectories of forniceal volume (blue) and FA (red) from birth to 90 years old. (Adapted from Huang et al., 2006 and Huang et al., 2009). Yellow, the fornix; Green, the hippocampus; Purple, cingulum; Blue, Thalamus.CC BY · PubMed Central

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
A PROPOSED MECHANISM OF EMOTION
PAPEZ, J. W. (1937) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1937.02260220069003 · Cited by 3,563
The Medial Temporal Lobe Memory System
Squire, L. R., & Zola-Morgan, S. (1991) · Science · doi:10.1126/science.1896849 · Cited by 3,282
Diagnostic Criteria for Parkinson Disease
Gelb, D. J., Oliver, E., & Gilman, S. (1999) · Archives of Neurology · doi:10.1001/archneur.56.1.33 · Cited by 2,822
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658
Diffusion tensor imaging of white matter tract evolution over the lifespan
Lebel, C., Gee, M., Camicioli, R., Wieler, M., Martin, W., & Beaulieu, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.094 · Cited by 1,100

Show all 145 references

Research works printed but not linked: 3

Aggleton, 2000, Identifying cortical inputs to the rat hippocampus that subserve allocentric spatial processes: a simple problem with a complex answer, Hippocampus, 10, 466, 10.1002/1098-1063(2000)10:4466::AID-HIPO133.0.CO;2-Y · DOI
Nolte, 2009, The Human Brain: An Introduction Ot Its Functional Anatomy

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
Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach
Cui, Z., Xia, Z., Su, M., Shu, H., & Gong, G. (2016) · Human Brain Mapping · doi:10.1002/hbm.23112 · Cited by 180
White matter integrity declined over 6-months, but dance intervention improved integrity of the fornix of older adults
Burzynska, A. Z., Jiao, Y., Knecht, A. M., Fanning, J., Awick, E. A., Chen, T., Gothe, N., Voss, M. W., McAuley, E., & Kramer, A. F. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00059 · Cited by 150
Anatomy and function of the fornix in the context of its potential as a therapeutic target
Senova, S., Fomenko, A., Gondard, E., & Lozano, A. M. (2020) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2019-322375 · Cited by 150
Standard‐space atlas of the viscoelastic properties of the human brain
Hiscox, L. V., McGarry, M., Schwarb, H. D., Houten, E. E. W. V., Pohlig, R. T., Roberts, N., Huesmann, G., Burzynska, A. Z., Sutton, B. P., Hillman, C. H., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25192 · Cited by 94
A taxonomy of the brain’s white matter: twenty-one major tracts for the 21st century
Bullock, D. N., Hayday, E., Grier, M. D., Tang, W., Pestilli, F., & Heilbronner, S. R. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab500 · Cited by 99
Dissecting 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 95
The relationship between diffusion tensor imaging findings and cognitive outcomes following adult traumatic brain injury: A meta-analysis
Wallace, E. J., Mathias, J. L., & Ward, L. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.023 · Cited by 85
Hippocampal pathology in amyotrophic lateral sclerosis: selective vulnerability of subfields and their associated projections
Christidi, F., Karavasilis, E., Rentzos, M., Velonakis, G., Zouvelou, V., Xirou, S., Argyropoulos, G. D., Papatriantafyllou, I., Pantolewn, V., Ferentinos, P. P., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.07.019 · Cited by 85
Cross-hemispheric communication: Insights on lateralized brain functions
Ocklenburg, S., & Guo, Z. V. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.010 · Cited by 85
Episodic Memory formation: A review of complex Hippocampus input pathways
Danieli, K., Guyon, A., & Bethus, I. (2023) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2023.110757 · Cited by 91
Autobiographical and episodic memory deficits in mild traumatic brain injury
Wammes, J. D., Good, T. J., & Fernandes, M. A. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.11.004 · Cited by 77
Consequences of multilingualism for neural architecture
Hayakawa, S. L., & Marian, V. (2019) · Behavioral and Brain Functions · doi:10.1186/s12993-019-0157-z · Cited by 74
White matter development from birth to 6 years of age: a longitudinal study
Stephens, R. L., Langworthy, B. W., Short, S. J., Girault, J. B., Styner, M. A., & Gilmore, J. H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa170 · Cited by 63
Anatomy of the Limbic White Matter Tracts as Revealed by Fiber Dissection and Tractography
Paşcalău, R., Stănilă, R. P., Sfrangeu, S. A., & Szabo, B. A. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.02.121 · Cited by 56
Diagnosis, Background, and Treatment of Hypothalamic Damage in Craniopharyngioma
Erfurth, E.-M. (2020) · Neuroendocrinology · doi:10.1159/000509616 · Cited by 58
Heritability of the limbic networks
Budisavljevic, S., Kawadler, J. M., Dell'Acqua, F., Rijsdijk, F. V., Kane, F., Picchioni, M., McGuire, P., Toulopoulou, T., Georgiades, A., Kalidindi, S., et al. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv156 · Cited by 46
Sexual dimorphic distribution of cannabinoid 1 receptor mRNA in adult C57BL/6J mice
Liu, X., Li, X., Zhao, G., Wang, F., & Wang, L. (2020) · The Journal of Comparative Neurology · doi:10.1002/cne.24868 · Cited by 48
Six Months of Piano Training in Healthy Elderly Stabilizes White Matter Microstructure in the Fornix, Compared to an Active Control Group
Jünemann, K., Marié, D., Worschech, F., Scholz, D. S., Grouiller, F., Kliegel, M., Ville, D. V. D., James, C. E., Krüger, T. H. C., ALTENMÜLLER, E. O., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.817889 · Cited by 46
White matter integrity correlates with residual consciousness in patients with severe brain injury
Wang, L., Yang, Y., Chen, S., Ge, M., He, J., Zheng, Y., Lin, P., & Wu, X. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9832-1 · Cited by 41
Brain structures and networks responsible for stimulation‐induced memory flashbacks during forniceal deep brain stimulation for Alzheimer's disease
Germann, J., Elias, G. J. B., Boutet, A., Narang, K., Neudorfer, C., Horn, A., Loh, A., Deeb, W., Salvato, B., Almeida, L., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12238 · Cited by 42
The fornix provides multiple biomarkers to characterize circuit disruption in a mouse model of Alzheimer’s disease.
Badea, A., Kane, L., Anderson, R. J., Qi, Y., Foster, M., Cofer, G. P., Medvitz, N., Buckley, A. F., Badea, A. K., Wetsel, W. C., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.014 · Cited by 39
The role of hippocampal subfield volume and fornix microstructure in episodic memory across the lifespan
Foster, C. M., Kennedy, K. M., Hoagey, D. A., & Rodrigue, K. M. (2019) · Hippocampus · doi:10.1002/hipo.23133 · Cited by 41
White matter structural connectivity and episodic memory in early childhood
Ngo, C. T., Alm, K. H., Metoki, A., Hampton, W. H., Riggins, T., Newcombe, N. S., & Olson, I. R. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.001 · Cited by 43
Deep 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
Neonatal White Matter Maturation Is Associated With Infant Language Development
Sket, G., Overfeld, J., Styner, M. A., Gilmore, J. H., Entringer, S., Wadhwa, P. D., Rasmussen, J. M., & Buß, C. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00434 · Cited by 34
Currents of memory: recent progress, translational challenges, and ethical considerations in fornix deep brain stimulation trials for Alzheimer's disease
Viaña, J. N. M., Vickers, J. C., Cook, M. J., & Gilbert, F. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.03.001 · Cited by 33
Structural and Functional MRI Evidence for Distinct Medial Temporal and Prefrontal Roles in Context-dependent Relational Memory
Schwarb, H. D., Johnson, C. L., Dulas, M. R., McGarry, M., Holtrop, J. L., Watson, P. D., Wang, J. X., Voss, J. L., Sutton, B. P., & Cohen, N. J. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01454 · Cited by 35
A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease
Owens‐Walton, C., Nir, T. M., Al–Bachari, S., Ambrogi, S., Anderson, T., Aventurato, Í. K., Cendes, F., Chen, Y.-L., Ciullo, V., Cook, P., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00758-3 · Cited by 32
Hippocampal Pathway Plasticity Is Associated with the Ability to Form Novel Memories in Older Adults
Antonenko, D., Külzow, N., Cesarz, M. E., Schindler, K., Grittner, U., & Flöel, A. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00061 · Cited by 32
Microstructural white matter alterations and hippocampal volumes are associated with cognitive deficits in craniopharyngioma
Fjalldal, S., Follin, C., Svärd, D., Rylander, L., Gabery, S., Petersén, Å., van Westen, D., Sundgren, P. C., Björkman-Burtscher, I. M., Lätt, J., et al. (2018) · European Journal of Endocrinology · doi:10.1530/eje-18-0081 · Cited by 31
Preliminary findings of accelerated visual memory decline and baseline brain correlates in middle-age and older adults with autism: The case for hippocampal free-water
Walsh, M. J. M., Ofori, E., Pagni, B. A., Chen, K., Sullivan, G. R., & Braden, B. B. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1029166 · Cited by 30
A 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 40
Neuroanatomical abnormalities in fragile X syndrome during the adolescent and young adult years
Sandoval, G. M., Shim, S.-H., Hong, D. S., Garrett, A. S., Quintin, E., Marzelli, M., Patnaik, S., Lightbody, A. A., & Reiss, A. L. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.10.014 · Cited by 30
Hippocampus co-atrophy pattern in dementia deviates from covariance patterns across the lifespan.
Plachti, A., Kharabian, S., Eickhoff, S., Maleki-Balajoo, S., Hoffstaedter, F., Varikuti, D., Jockwitz, C., Caspers, S., Amunts, K., & Genon, S. (2020) · Brain : a journal of neurology · doi:10.1093/brain/awaa222 · Cited by 24
Early-life education may help bolster declarative memory in old age, especially for women
Reifegerste, J., Veríssimo, J., Rugg, M. D., Pullman, M. Y., Babcock, L., Glei, D. A., Weinstein, M., Goldman, N., & Ullman, M. T. (2020) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2020.1736497 · Cited by 24
Microstructural white matter alterations in borderline personality disorder: A minireview
Grottaroli, M., Delvecchio, G., Bressi, C., Moltrasio, C., Soares, J. C., & Brambilla, P. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.12.033 · Cited by 23
Relationship between the disrupted topological efficiency of the structural brain connectome and glucose hypometabolism in normal aging
Bi, Q., Wang, W., Niu, N., Li, H., Wang, Y., Huang, W., Chen, K., Xu, K., Zhang, J., Chen, Y., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117591 · Cited by 22
Opening the debate on deep brain stimulation for Alzheimer disease – a critical evaluation of rationale, shortcomings, and ethical justification
Bittlinger, M., & Müller, S. (2018) · BMC Medical Ethics · doi:10.1186/s12910-018-0275-4 · Cited by 23
Microstructural Changes in Patients With Parkinson's Disease Comorbid With REM Sleep Behaviour Disorder and Depressive Symptoms
Sherbaf, F. G., Abadi, Y. R., Zadeh, M. M., Ashraf‐Ganjouei, A., Moghaddam, H. S., & Aarabi, M. H. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00441 · Cited by 26
Icariin Promotes Survival, Proliferation, and Differentiation of Neural Stem Cells In Vitro and in a Rat Model of Alzheimer’s Disease
Ma, D., Zhao, L., Zhang, L., Li, Y., Zhang, L., & Li, L. (2021) · Stem Cells International · doi:10.1155/2021/9974625 · Cited by 21
Genetic risk of dementia modifies obesity effects on white matter myelin in cognitively healthy adults
Mole, J. P., Fasano, F., Evans, J., Sims, R., Hamilton, D. A., Kidd, E., & Metzler-Baddeley, C. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.06.014 · Cited by 20
Age specificity in fornix-to-hippocampus association
Gazes, Y., Li, P., Sun, E., Razlighi, Q. R., & Tsapanou, A. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9958-1 · Cited by 21
Fornix degeneration in risk factors of Alzheimer's disease, possible trigger of cognitive decline
Lacalle‐Aurioles, M., & Iturria‐Medina, Y. (2023) · Cerebral Circulation - Cognition and Behavior · doi:10.1016/j.cccb.2023.100158 · Cited by 20
Functional alterations in bipartite network of white and grey matters during aging
Gao, Y., Zhao, Y., Li, M., Lawless, R. D., Schilling, K. G., Xu, L., Shafer, A. T., Beason‐Held, L. L., Resnick, S. M., Rogers, B. P., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120277 · Cited by 19
Oxidative stress impairs cognitive function by affecting hippocampal fimbria volume in drug-naïve, first-episode schizophrenia
Jia, R., Yuan, X., Zhang, X., Song, P., Han, S., Wang, S., Li, Y., Zhang, S., Zhao, X., Zhang, Y., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1153439 · Cited by 18
Multimodal Neuromonitoring and Neurocritical Care in Swine to Enhance Translational Relevance in Brain Trauma Research
O'Donnell, J. C., Browne, K., Kvint, S., Makaron, L., Grovola, M. R., Karandikar, S. P., Kilbaugh, T., Cullen, D. K., & Petrov, D. (2023) · Biomedicines · doi:10.3390/biomedicines11051336 · Cited by 16
Fornix Integrity Is Differently Associated With Cognition in Healthy Aging and Non-amnestic Mild Cognitive Impairment: A Pilot Diffusion Tensor Imaging Study in Thai Older Adults
Srisaikaew, P., Wongpakaran, N., Anderson, N. D., Chen, J. J., Kothan, S., Varnado, P., Unsrisong, K., & Mahakkanukrauh, P. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.594002 · Cited by 16
Diffusion properties of the fornix assessed by deterministic tractography shows age, sex, volume, cognitive, hemispheric, and twin relationships in young adults from the Human Connectome Project
Cahn, A. J., Little, G. E., Beaulieu, C., & Tétreault, P. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02181-9 · Cited by 15
Amnestic mild cognitive impairment in Parkinson’s disease: White matter structural changes and mechanisms
Chen, F., Wu, T., Luo, Y., Li, Z., Guan, Q., Meng, X., Tao, W., & Zhang, H. (2019) · PLoS ONE · doi:10.1371/journal.pone.0226175 · Cited by 17
Deep brain stimulation of fornix in Alzheimer's disease: From basic research to clinical practice
Liu, Z., Shu, K., Geng, Y., Cai, C., & Kang, H. (2023) · European Journal of Clinical Investigation · doi:10.1111/eci.13995 · Cited by 15
DTI Connectometry Analysis Reveals White Matter Changes in Cognitively Impaired World Trade Center Responders at Midlife
Kritikos, M., Huang, C., Clouston, S., Pellecchia, A. C., Santiago‐Michels, S., Carr, M. A., Hagan, T., Kotov, R., Gandy, S., Sano, M. C., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220255 · Cited by 14
The cerebellum is causally involved in episodic memory under aging
Almeida, J., Martins, A. R., Amaral, L., Valério, D., Bukhari, Q., Schu, G. G., Nogueira, J., Spínola, M., Soleimani, G., Fernandes, F., et al. (2023) · GeroScience · doi:10.1007/s11357-023-00738-0 · Cited by 15
Dentate Gyrus Volume Mediates the Effect of Fornix Microstructure on Memory Formation in Older Adults
Hayek, D., Thams, F., Flöel, A., & Antonenko, D. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00079 · Cited by 14
Precommissural and postcommissural fornix microstructure in healthy aging and cognition
Coad, B. M., Craig, E., Louch, R. C., Aggleton, J. P., Vann, S. D., & Metzler‐Baddeley, C. (2020) · Brain and Neuroscience Advances · doi:10.1177/2398212819899316 · Cited by 14
Heritability of abnormalities in limbic networks of autism spectrum disorder children: Evidence from an autism spectrum disorder twin study
Fu, L., Li, C., Li, Y., Cheng, X., Cui, X., Jiang, J., Ding, N., Fang, H., Tang, T., & Ke, X. (2022) · Autism Research · doi:10.1002/aur.2686 · Cited by 13
Clinical characteristics of post-stroke basal ganglia aphasia and the study of language-related white matter tracts based on diffusion spectrum imaging
Han, Y., Jing, Y., Li, X., Zhou, H.-W., & Deng, F. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120664 · Cited by 14
The goblet sign in the amnestic syndrome of the subcallosal artery infarct
Vilella, L. P., Brochado, A. P., Vicente, I., Portillo, J. B., Arroyo, A. M., Ontañon, J. M., Gómez-Beldarrain, M., & García‐Moncó, J. C. (2018) · Neurological Sciences · doi:10.1007/s10072-018-3425-z · Cited by 12
Parallel changes in serum proteins and diffusion tensor imaging in methamphetamine-associated psychosis
Breen, M. S., Uhlmann, A., Özcan, S., Chan, M. K., Pinto, D., Bahn, S., & Stein, D. J. (2017) · Scientific Reports · doi:10.1038/srep43777 · Cited by 12
Non-fasting High-Density Lipoprotein Is Associated With White Matter Microstructure in Healthy Older Adults
Johnson, N. F., Gold, B. T., Ross, D., Bailey, A. L., Clasey, J. L., Gupta, V. A., Leung, S., & Powell, D. K. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00100 · Cited by 12
Senescent and disease-associated microglia are modifiable features of aged brain white matterPreprint
Schafer, M. J., Carver, C., Gomez, P., Rodriguez, S., Kachergus, J. M., Liu, Y., Shi, J., Tran, T., Wang, L., Melov, S., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3467812/v1 · Cited by 12
Randomized controlled trials of non-pharmacological interventions for healthy seniors: Effects on cognitive decline, brain plasticity and activities of daily living—A 23-year scoping review
James, C. E., Müller, D., Müller, C. A. H., van de Looij, Y., ALTENMÜLLER, E. O., Kliegel, M., Ville, D. V. D., & Marié, D. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26674 · Cited by 15
Association of LHPP genetic variation (rs35936514) with structural and functional connectivity of hippocampal-corticolimbic neural circuitry
Cui, L., Gong, X., Chang, M., Yin, Z., Geng, H., Song, Y., Lv, J., Feng, R., Wang, F., Tang, Y., et al. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00140-5 · Cited by 11
Volume changes of the subcortical limbic structures in major depressive disorder patients with and without anhedonia
Mu, Q., Cui, D., Zhang, K., Ru, Y., Wu, C., Fang, Z., Jia, L., Hu, S., Huang, M., & Lu, S. (2023) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2023.111747 · Cited by 10
Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants
Taghvaei, M., Mechanic-Hamilton, D. J., Sadaghiani, S., Shakibajahromi, B., Dolui, S., Das, S. R., Brown, C. D., Tackett, W., Khandelwal, P., Cook, P. A., et al. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.10.012 · Cited by 13
Diagnostic Validity of an Automated Probabilistic Tractography in Amnestic Mild Cognitive Impairment
Jung, W. S., Um, Y. H., Kang, D. W., Lee, C. U., Woo, Y. S., Bahk, W., & Lim, H. K. (2018) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2018.16.2.144 · Cited by 10
Disruptions in white matter microstructure associated with impaired visual associative memory in schizophrenia-spectrum illness
Wannan, C., Bartholomeusz, C. F., Pantelis, C., Biase, M. A. D., Syeda, W. T., Chakravarty, M. M., Bousman, C., Everall, I., McGorry, P. D., Zalesky, A., et al. (2021) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01333-0 · Cited by 10
Volumetric development of hippocampal subfields and hippocampal white matter connectivity: Relationship with episodic memory
Dick, A. S., Ralph, Y. K., Farrant, K., Reeb‐Sutherland, B. C., Pruden, S. M., & Mattfeld, A. T. (2022) · Developmental Psychobiology · doi:10.1002/dev.22333 · Cited by 11
Current trends and updates in the treatment of Alzheimer's disease
Parikh, N. H., Parikh, P. K., Rao, H. J., Shah, K., Dave, B. P., & Prajapati, B. G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13205-6.00014-5 · Cited by 9
Effect of fluoxetine on proliferation and/or survival of microglia and oligodendrocyte progenitor cells in the fornix and corpus callosum of the mouse brain
Fukushima, S., Kurganov, E., Hiratsuka, D., & Miyata, S. (2020) · Pharmacological Reports · doi:10.1007/s43440-020-00079-1 · Cited by 9
Network connectivity underlying episodic memory in children: Application of a pediatric brain tumor survivor injury model
Alonso, K. W., Dahhan, N. Z. A., Riggs, L., Tseng, J., de Medeiros, C. B., Scott, M., Laughlin, S., Bouffet, É., & Mabbott, D. (2023) · Developmental Science · doi:10.1111/desc.13413 · Cited by 8
Free Water-Corrected Fractional Anisotropy of the Fornix and Parahippocampal Cingulum Predicts Longitudinal Memory Change in Cognitively Healthy Older Adults
Hou, M., Bergamino, M., de Chastelaine, M., Sambamoorthy, S., & Rugg, M. D. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.04.005 · Cited by 8
Age-related fornix decline predicts conservative response strategy-based slowing in perceptual decision-making
Revie, L., & Metzler‐Baddeley, C. (2024) · Aging Brain · doi:10.1016/j.nbas.2024.100106 · Cited by 8
Age‐related white matter changes revealed by a whole‐brain fiber‐tracking method in bipolar disorder compared to major depressive disorder and healthy controls
Masuda, Y., Okada, G., Takamura, M., Shibasaki, C., Yoshino, A., Yokoyama, S., Ichikawa, N., Okuhata, S., Kobayashi, T., Yamawaki, S., et al. (2020) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13166 · Cited by 7
Beyond the hippocampus: Limbic white matter injury implicated in post-radiation memory performance in primary brain tumor patients
Qian, A. S., Karunamuni, R. A., Unnikrishnan, S., Salans, M. A., Hopper, A. B., Gudipati, S., Yu, J. D., Connor, M. J., Jr., Tringale, K. R., Tibbs, M. D., et al. (2025) · Neuro-Oncology · doi:10.1093/neuonc/noaf144 · Cited by 6
Predicted disconnectome associated with progressive periventricular white matter ischemia
Li, Z., Dolui, S., Habes, M., Bassett, D. S., Wolk, D. A., & Detre, J. A. (2021) · Cerebral Circulation - Cognition and Behavior · doi:10.1016/j.cccb.2021.100022 · Cited by 6
Brain white matter microstructural alterations in Behcet's syndrome correlate with cognitive impairment and disease severity: A diffusion tensor imaging study
Kargın, O. A., Arslan, S., Korkmazer, B., Güner, S., Özdede, A., Erener, N., Ersungur, E. B., Baktiroglu, G., Hamid, R., Öz, A., et al. (2024) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2024.152509 · Cited by 6
Lifetime surgical exposure, episodic memory, and forniceal microstructure in older adults
Bateman, J. R., Filley, C. M., Kaplan, R. I., Heffernan, K. S., & Bettcher, B. M. (2019) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2019.1647151 · Cited by 6
A taxonomy of the brain’s white matter: Twenty-one major tracts for the twenty-first centuryPreprint
Bullock, D. N., Hayday, E., Grier, M. D., Tang, W., Pestilli, F., & Heilbronner, S. R. (2021) · doi:10.31234/osf.io/fvk5r · Cited by 6
Development of brain atlases for early-to-middle adolescent collision-sport athletes
Zou, Y., Zhu, W., Yang, H., Jang, I., Vike, N. L., Svaldi, D. O., Shenk, T. E., Poole, V. N., Breedlove, E. L., Tamer, G. G., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-85518-6 · Cited by 4
Lifespan trajectories of fornix volume and tractography: a 5.0 T MRI study
Hu, Q., Xu, J., Li, S., Chen, X., Zhong, X., Liu, X., Ren, J., Wang, H., Fan, C., Li, C., et al. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf057 · Cited by 5
Increased fiber density of the fornix in patients with chronic tinnitus revealed by diffusion-weighted MRI
Rosemann, S., & Rauschecker, J. P. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1293133 · Cited by 4
Assessment of Structural Variations in Fornix of MCI and AD Using MR Images and Geometrical Features
Ali, A., Ronickom, J. F. A., & Swaminathan, R. (2024) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-024-00883-7 · Cited by 5
Identification and validation of supervariants reveal novel loci associated with human white matter microstructurePreprint
Wang, S., Li, T., Zhao, B., Dai, W., Yao, Y., Li, C., Li, T., Hongtu Zhu, B., & Zhang, H. (2023) · Genome Research · doi:10.1101/gr.277905.123 · Cited by 5
Investigating subjective use of self-initiated internal memory strategy use across the healthy adult lifespan
Visser, M., Jansen, M. G., Frankenmolen, N. L., Camerino, I., Brazil, I. A., Piai, V., Hendriks, M. P. H., Kessels, R. P. C., & Oosterman, J. M. (2025) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2025.2555436 · Cited by 4
Age-dependent effects of estradiol on temporal memory: A role for the type 1 cannabinoid receptor?
Potier, M., Maître, M., Lesté-Lasserre, T., Marsicano, G., Chaouloff, F., & Marighetto, A. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.106002 · Cited by 4
Multi-modal Brain Age Estimation: A Comparative Study Confirms the Importance of Microstructure
Salih, A. M., Galazzo, I. B., Jaggi, A., Raisi‐Estabragh, Z., Petersen, S. E., Lekadir, K., Radeva, P. I., & Menegaz, G. (2021) · Mathematics and visualization · doi:10.1007/978-3-030-73018-5_19 · Cited by 4
Multilevel thresholding and Morphological Relationship Approach for Automatic Detection of Anterior and Posterior Commissure in Mid-sagittal Brain MRI
Nopember, I. T. S., Aisyah, K. N., Fatichah, C., Nopember, I. T. S., Sarno, R., & Nopember, I. T. S. (2020) · International journal of intelligent engineering and systems · doi:10.22266/ijies2020.1031.33 · Cited by 4
Fornix white matter microstructure differentially predicts false recollection rates in older and younger adults
Chamberlain, J. D., Turney, I. C., Goodman, J. T., Hakun, J. G., & Dennis, N. A. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107848 · Cited by 4
Neurocognitive Safety of Endoscopic Colloid Cyst Resection: Paired Pre- and Post-Operative Cognitive Function from an Exploratory Cohort
Tosi, U., Sacks-Zimmerman, A. L., Villamater, F. N., Spat‐Lemus, J., Perrine, K. R., Souweidane, M. M., & Bender, H. A. (2025) · Cancers · doi:10.3390/cancers17030416 · Cited by 3
White matter integrity in alcohol-dependent patients with long-term abstinence
Lee, J., Ju, G., Son, J.-W., Shin, C.-J., Lee, S.-I., Park, H., & Kim, S. (2021) · Medicine · doi:10.1097/md.0000000000026078 · Cited by 3
Structural impairments in hippocampal and occipitotemporal networks specifically contribute to decline in place and face category processing but not to other visual object categories in healthy aging
Bourbon‐Teles, J., Jorge, L., Canário, N., & Castelo-Branco, M. S. (2021) · Brain and Behavior · doi:10.1002/brb3.2127 · Cited by 5
Associations between cortical β‐amyloid burden, fornix microstructure and cognitive processing of faces, places, bodies and other visual objects in early Alzheimer's disease
Bourbon‐Teles, J., Jorge, L., Canário, N., Martins, R., Santana, I. J., & Castelo-Branco, M. S. (2022) · Hippocampus · doi:10.1002/hipo.23493 · Cited by 3
Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes
Asp, A. J., Chintaluru, Y., Hillan, S. G., & Luján, J. L. (2023) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2023.1150157 · Cited by 3
A deep neural network estimation of brain age is sensitive to cognitive impairment and decline
Yang, Y., Sathe, A., Schilling, K. G., Shashikumar, N., Moore, E. E., Dumitrescu, L. C., Pechman, K. R., Landman, B. A., Gifford, K. A., Hohman, T. J., et al. (2023) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789811286421_0012 · Cited by 3
A deep neural network estimation of brain age is sensitive to cognitive impairment and declinePreprint
Yang, Y., Sathe, A., Schilling, K. G., Shashikumar, N., Moore, E. E., Dumitrescu, L. C., Pechman, K. R., Landman, B. A., Gifford, K. A., Hohman, T. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.10.552494 · Cited by 3
Benefits of high-dielectric pad for neuroimaging study in 7-Tesla MRI
Park, S., Jeon, Y.-J., & Baek, H. (2023) · Journal of Analytical Science & Technology · doi:10.1186/s40543-023-00380-7 · Cited by 2
Overweight/Obesity-related microstructural alterations of the fimbria-fornix in the ABCD study: The role of aerobic physical activity
Ma, J., McGlade, E., Huber, R. S., Lyoo, I. K., Renshaw, P. F., & Yurgelun-Todd, D. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287682 · Cited by 4
Maturity of white matter tracts is associated with episodic memory recall during development
Bouyeure, A., Bekha, D., Patil, S., Hertz-Pannier, L., & Noulhiane, M. (2022) · Cerebral Cortex Communications · doi:10.1093/texcom/tgac004 · Cited by 5
Altered White Matter Integrity in Patients with Retinal Vein Occlusion: A Diffusion Tensor Imaging and Tract-Based Spatial Statistics Study
Zhang, M.-X., Chen, M.-J., Tang, L., Yu, C.-Y., Xu, Y., Xu, S., Ying, P., Kang, M. C., Zhang, L.-J., & Shao, Y. (2022) · Disease Markers · doi:10.1155/2022/9647706 · Cited by 2

Authors: Douet, V., & Chang, L.
Affiliations: University of Hawaiʻi at Mānoa (US)
Corresponding author: Douet, Vanessa
Chang, Linda
ORCID: Douet, Vanessa
Chang, Linda
Venue: Frontiers in Aging Neuroscience
Publisher: Frontiers Media SA
Published: 2015-01-14
Volume: 6
Pages: 343-343
ISSN: 1663-4365 (ISSN-L)
DOI: 10.3389/fnagi.2014.00343
PMC: PMC4294158
OpenAlex: W2070157918
Cited by: 122
References: 145
Citations by year: 2026: 6 · 2025: 8 · 2024: 10 · 2023: 21 · 2022: 11 · 2021: 14 · 2020: 17 · 2019: 12 · 2018: 11 · 2017: 6 · 2016: 5 · 2015: 1
FWCI: 1.22
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: Frontiers in Aging Neuroscience (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: National Institutes of Health (MD007601)
National Institute on Drug Abuse (K24DA016170)
National Institute on Minority Health and Health Disparities (G12MD007601)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: fornix, episodic memory, memory impairment, healthy aging, Alzheimer's disease, multiple sclerosis, schizophrenia, neuroinflammation, neurodegeneration, diffusion tensor imaging, white matter microstructure, hippocampal connectivity, limbic system, brain development, imaging biomarkers

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

Fornix as an imaging marker for episodic memory deficits in healthy aging and in various neurological disorders

Abstract

Overview

Integrity signals

Figures

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks