Thalamic structures and associated cognitive functions: Relations with age and aging
Open accessAbstract
The thalamus, with its cortical, subcortical, and cerebellar connections, is a critical node in networks supporting cognitive functions known to decline in normal aging, including component processes of memory and executive functions of attention and information processing. The macrostructure, microstructure, and neural connectivity of the thalamus changes across the adult lifespan. Structural and functional magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) have demonstrated, regional thalamic volume shrinkage and microstructural degradation, with anterior regions generally more compromised than posterior regions. The integrity of selective thalamic nuclei and projections decline with advancing age, particularly those in thalamofrontal, thalamoparietal, and thalamolimbic networks. This review presents studies that assess the relations between age and aging and the structure, function, and connectivity of the thalamus and associated neural networks and focuses on their relations with processes of attention, speed of information processing, and working and episodic memory.
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Coordinate Cz receives projections of thalamic structures associated with executive functions of attention, information processing, and memory processes.
“The modulation of frequencies will take place at coordinate Cz, which receives projections of thalamic structures associated with executive functions of attention and information processing as well as memory processes.20”
From Evaluation of a manualised neurofeedback training in psychosomatic-psychotherapeutic outpatient treatment (Neuro-pp-out): study protocol for a clinical mixed-methods pilot study (2024) · cites this paper as [20]
The Introduction links thalamic structures to attention, information processing, and memory. The section on structural and functional thalamic networks describes projections to cortical regions, but our copy does not identify coordinate Cz or say that it receives those projections. (LLM, conf=0.88)
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Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622 · see citing works
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · see citing works
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.2.237 · Cited by 3,419 · see citing works
Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875 · see citing works
Priming and Human Memory Systems
Tulving, E., & Schacter, D. L. (1990) · Science · doi:10.1126/science.2296719 · Cited by 2,595 · see citing works
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 · see citing works
Gazzaniga, M. S., & Bizzi, E. (2000) · Cited by 2,525 · see citing works
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,479 · see citing works
Alexander, G. E., Crutcher, M. D., & DeLong, M. R. (1990) · PubMed · Cited by 2,422 · see citing works
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330 · see citing works
(1991) · Progress in Brain Research · doi:10.1016/s0079-6123(08)62678-3 · Cited by 1,961 · see citing works
Episodic memory, amnesia, and the hippocampal–anterior thalamic axis
Aggleton, J. P., & Brown, M. W. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002034 · Cited by 1,879 · see citing works
Implicit and explicit memory for new associations in normal and amnesic subjects.
Graf, P., & Schacter, D. L. (1985) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037//0278-7393.11.3.501 · Cited by 1,872 · see citing works
Adams, R. D., & Victor, M. (1977) · Medical Entomology and Zoology · Cited by 1,715 · see citing works
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571 · see citing works
Modern network science of neurological disorders
Stam, C. J. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3801 · Cited by 1,284 · see citing works
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works
The Structure and Organization of Memory
Squire, L. R., Knowlton, B. J., & Musen, G. (1993) · Annual Review of Psychology · doi:10.1146/annurev.ps.44.020193.002321 · Cited by 1,121 · see citing works
An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex
Essen, D. C. V., Drury, H. A., Dickson, J., Harwell, J., Hanlon, D., & Anderson, C. H. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080443 · Cited by 1,100 · see citing works
Implicit and explicit memory for new associations in normal and amnesic subjects.
Graf, P., & Schacter, D. L. (1985) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.11.3.501 · Cited by 967 · see citing works
Effects of age on tissues and regions of the cerebrum and cerebellum.
Jernigan, T., Archibald, S., Fennema-Notestine, C., Gamst, A., Stout, J. C., Bonner, J. C., & Hesselink, J. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00217-2 · Cited by 958 · see citing works
Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline
O'Sullivan, M. J., Jones, D. K., Summers, P. E., Morris, R. G., Williams, S., & Markus, H. S. (2001) · Neurology · doi:10.1212/wnl.57.4.632 · Cited by 805 · see citing works
Diffusion tensor imaging and aging
Sullivan, E. V., & Pfefferbaum, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.002 · Cited by 649 · see citing works
Self-citationEffects of age on volumes of cortex, white matter and subcortical structures
Walhovd, K. B., Fjell, A. M., Reinvang, I., Lundervold, A., Dale, A. M., Eilertsen, D. E., Quinn, B. T., Salat, D. H., Makris, N., & Fischl, B. R. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.05.020 · Cited by 647 · see citing works
Multiarchitectonic and stereotactic atlas of the human thalamus
Morel, A., Magnin, M., & Jeanmonod, D. (1997) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19971103)387:4 · Cited by 642 · see citing works
Johansen‐Berg, H., Behrens, T. E. J., Sillery, E., Ciccarelli, O., Thompson, A. J., Smith, S. M., & Matthews, P. M. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh105 · Cited by 563 · see citing works
Consistent neuroanatomical age-related volume differences across multiple samples
Walhovd, K. B., Westlye, L. T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.05.013 · Cited by 506 · see citing works
Diffusion MRI at 25: exploring brain tissue structure and function
Le Bihan, D., & Johansen-Berg, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.006 · Cited by 498 · see citing works
Diffusion MRI: Theory, methods, and applications
Jones, D. K. (2011) · Cited by 450 · see citing works
Intrinsic functional relations between human cerebral cortex and thalamus
Zhang, D., Snyder, A. Z., Fox, M. D., Sansbury, M. W., Shimony, J. S., & Raichle, M. E. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90463.2008 · Cited by 437 · see citing works
Critical ages in the life course of the adult brain: nonlinear subcortical aging
Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Holland, D., Dale, A. M., & Walhovd, K. B. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.04.006 · Cited by 393 · see citing works
Cerebral structure on MRI, Part I: Localization of age-related changes
Jernigan, T. L., Archibald, S. L., Berhow, M. T., Sowell, E. R., Foster, D. S., & Hesselink, J. R. (1991) · Biological Psychiatry · doi:10.1016/0006-3223(91)90210-d · Cited by 388 · see citing works
Neuroanatomical substrates of age-related cognitive decline.
Salthouse, T. A. (2011) · Psychological Bulletin · doi:10.1037/a0023262 · Cited by 387 · see citing works
Positron emission tomographic measurements of pulvinar activity during an attention task
LaBerge, D., & Buchsbaum, M. (1990) · The Journal of Neuroscience · doi:10.1523/jneurosci.10-02-00613.1990 · Cited by 353 · see citing works
Kopelman, M. D. (1995) · The British Journal of Psychiatry · doi:10.1192/bjp.166.2.154 · Cited by 351 · see citing works
Cognitive aging, executive function, and fractional anisotropy: a diffusion tensor MR imaging study.
Grieve, S. M., Williams, L. M., Paul, R. H., Clark, C. R., & Gordon, E. (2007) · PubMed Central · Cited by 350 · see citing works
Noninvasive Functional and Structural Connectivity Mapping of the Human Thalamocortical System
Zhang, D., Snyder, A. Z., Shimony, J. S., Fox, M., & Raichle, M. E. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp182 · Cited by 344 · see citing works
The primate pulvinar nuclei: vision and action
Grieve, K. L., Acuña, C., & Cudeiro, J. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(99)01482-4 · Cited by 290 · see citing works
Disconnection syndromes of basal ganglia, thalamus, and cerebrocerebellar systems
Schmahmann, J. D., & Pandya, D. Ν. (2008) · Cortex · doi:10.1016/j.cortex.2008.04.004 · Cited by 280 · see citing works
Pfefferbaum, A., & Sullivan, E. V. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10452 · Cited by 267 · see citing works
Self-citationContributions of Thalamic Nuclei to Declarative Memory Functioning
VANDERWERF, Y., Jolles, J., Witter, M. P., & Uylings, H. B. M. (2003) · Cortex · doi:10.1016/s0010-9452(08)70877-3 · Cited by 256 · see citing works
Gray and white matter water diffusion in the syndromic variants of frontotemporal dementia
Whitwell, J. L., Avula, R. T. V., Senjem, M. L., Kantarci, K., Weigand, S. D., Samikoglu, A. R., Edmonson, H. A., Vemuri, P., Knopman, D. S., Boeve, B. F., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d9edde · Cited by 256 · see citing works
Pfefferbaum, A., Rohlfing, T., Rosenbloom, M. J., Chu, W., Colrain, I. M., & Sullivan, E. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.008 · Cited by 256 · see citing works
Self-citationMR Diffusion Tensor Imaging: A Window into White Matter Integrity of the Working Brain
Chanraud, S., Zahr, N. M., Sullivan, E. V., & Pfefferbaum, A. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9129-7 · Cited by 254 · see citing works
Self-citationOn the Involvement of Prefrontal Networks in Cognitive Ageing
Tisserand, D. J., & Jolles, J. (2003) · Cortex · doi:10.1016/s0010-9452(08)70880-3 · Cited by 253 · see citing works
Metzger, C. D., van der Werf, Y. D., & Walter, M. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00024 · Cited by 242 · see citing works
Aging in the CNS: Comparison of gray/white matter volume and diffusion tensor data
Abe, O., Yamasue, H., Aoki, S., Suga, M., Yamada, H., Kasai, K., Masutani, Y., Kato, N., Kato, N., & Ohtomo, K. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.09.003 · Cited by 239 · see citing works
Microstructural but Not Macrostructural Disruption of White Matter in Women with Chronic Alcoholism
Pfefferbaum, A., & Sullivan, E. V. (2002) · NeuroImage · doi:10.1006/nimg.2001.1018 · Cited by 220 · see citing works
Self-citationEffects of age and sex on volumes of the thalamus, pons, and cortex
Sullivan, E. V., Rosenbloom, M. J., Serventi, K. L., & Pfefferbaum, A. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00044-7 · Cited by 217 · see citing works
Self-citationCassel, J., de Vasconcelos, A. P., Loureiro, M., Cholvin, T., Dalrymple‐Alford, J. C., & Vertes, R. P. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.08.006 · Cited by 202 · see citing works
Vascular thalamic amnesia: a reappraisal
Carlesimo, G. A., Lombardi, M. G., & Caltagirone, C. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.01.026 · Cited by 195 · see citing works
Diffusion tensor imaging of deep gray matter brain structures: Effects of age and iron concentration
Pfefferbaum, A., Elfar Adalsteinsson, A., Torsten Rohlfing, B., & Sullivan, E. V. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.013 · Cited by 192 · see citing works
Self-citationThe Place of the Thalamus in Frontal Cortical-Basal Ganglia Circuits
Haber, S. N., & McFarland, N. R. (2001) · The Neuroscientist · doi:10.1177/107385840100700408 · Cited by 187 · see citing works
Raz, N., & Lindenberger, U. (2011) · Psychological Bulletin · doi:10.1037/a0024503 · Cited by 187 · see citing works
Cherubini, A., Péran, P., Caltagirone, C., Sabatini, U., & Spalletta, G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.035 · Cited by 173 · see citing works
Age‐related changes in topological organization of structural brain networks in healthy individuals
Wu, K., Taki, Y., Sato, K., Kinomura, S., Goto, R., Okada, K., Kawashima, R., Yong He, A., Evans, A. C., & Fukuda, H. (2011) · Human Brain Mapping · doi:10.1002/hbm.21232 · Cited by 173 · see citing works
Thalamic volume predicts performance on tests of cognitive speed and decreases in healthy aging
van der Werf, Y. D., Tisserand, D. J., Visser, P. J., Hofman, P. A. M., Vuurman, E. F. P. M., Uylings, H. B. M., & Jolles, J. (2001) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00010-6 · Cited by 144 · see citing works
Tulving, E., & Markowitsch, H. J. (1997) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(97)80009-8 · Cited by 142 · see citing works
Ystad, M. A., Hodneland, E., Adólfsdóttir, S., Haász, J., Lundervold, A. J., Eichele, T., & Lundervold, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.016 · Cited by 140 · see citing works
Visualization of intra-thalamic nuclei with optimized white-matter-nulled MPRAGE at 7T
Tourdias, T., Saranathan, M., Levesque, I. R., Su, J., & Rutt, B. K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.069 · Cited by 137 · see citing works
Regional changes in thalamic shape and volume with increasing age
Hughes, E., Bond, J., Svrckova, P., Makropoulos, A., Ball, G., Sharp, D. J., Edwards, A. D., Hajnal, J. V., & Counsell, S. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.043 · Cited by 133 · see citing works
Ystad, M. A., Eichele, T., Lundervold, A. J., & Lundervold, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.062 · Cited by 132 · see citing works
Age-related functional reorganization, structural changes, and preserved cognition
David Meunier, A., Stamatakis, E. A., & TYLER, L. K. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.07.003 · Cited by 118 · see citing works
The Behavioral Neurology of White Matter
Filley, C. M. (2012) · Oxford University Press eBooks · doi:10.1093/med/9780199743261.003.020 · Cited by 113 · see citing works
How do the basal ganglia and cerebellum gain access to the cortical motor areas?
Strick, P. L. (1985) · Behavioural Brain Research · doi:10.1016/0166-4328(85)90067-1 · Cited by 111 · see citing works
Disconnexion Syndromes in Animals and Man: Part I
Geschwind, N. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9131-0 · Cited by 104 · see citing works
Looking beyond the hippocampus: old and new neurological targets for understanding memory disorders
Aggleton, J. P. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.0565 · Cited by 86 · see citing works
Lisa Cipolotti, A., Masud Husain, B., Crinion, J., Bird, C. M., Khan, S. S., Losseff, N. A., Howard, R., & Leff, A. P. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.05.009 · Cited by 69 · see citing works
Associative Learning Beyond the Medial Temporal Lobe: Many Actors on the Memory Stage
Pergola, G., & Suchan, B. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00162 · Cited by 68 · see citing works
Pergola, G., Güntürkün, O., Koch, B., Schwarz, M., Daum, I., & Suchan, B. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.06.019 · Cited by 67 · see citing works
Sullivan, E. V., Pfefferbaum, A., Torsten Rohlfing, B., Baker, F. C., Padilla, M. L., & Colrain, I. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.003 · Cited by 60 · see citing works
Self-citationVisualization of Subthalamic Nuclei with Cortex Attenuated Inversion Recovery MR Imaging
Magnotta, V. A., Gold, S. M., Andreasen, N. C., Ehrhardt, J. C., & Yuh, W. T. C. (2000) · NeuroImage · doi:10.1006/nimg.2000.0552 · Cited by 56 · see citing works
Optimization of white-matter-nulled magnetization prepared rapid gradient echo (MP-RAGE) imaging
Saranathan, M., Tourdias, T., Bayram, E., Ghanouni, P., & Rutt, B. K. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25298 · Cited by 56 · see citing works
How the primate fornix is affected by age
Peters, A., Sethares, C., & Moss, M. B. (2010) · The Journal of Comparative Neurology · doi:10.1002/cne.22434 · Cited by 55 · see citing works
Cortical Depth Dependence of the Diffusion Anisotropy in the Human Cortical Gray Matter In Vivo
Truong, T., Guidon, A., & Song, A. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091424 · Cited by 43 · see citing works
Philp, D. J., Korgaonkar, M. S., & Grieve, S. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.057 · Cited by 42 · see citing works
der Elst, W. V., van Boxtel, M. P. J., van Breukelen, G., & Jolles, J. (2007) · Psychological Medicine · doi:10.1017/s0033291707000360 · Cited by 42 · see citing works
Laterality and aging of thalamic subregions measured by diffusion tensor imaging
Ota, M., Obata, T., Akine, Y., Ito, H., Matsumoto, R., Ikehira, H., Asada, T., & Suhara, T. (2007) · Neuroreport · doi:10.1097/wnr.0b013e3281c10e27 · Cited by 19 · see citing works
The Behavioral Neurology of White Matter
Filley, C. M. (2001) · doi:10.1093/oso/9780195135619.003.0018 · Cited by 17 · see citing works
Recollections about our 1996 JMR paper on diffusion anisotropy
Basser, P. J., & Pierpaoli, C. M. (2011) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2011.08.023 · Cited by 11 · see citing works
Methods of association and dissociation for establishing selective brain–behavior relations
Fama, R., & Sullivan, E. V. (2014) · Handbook of clinical neurology · doi:10.1016/b978-0-444-62619-6.00011-2 · Cited by 11 · see citing works
Self-citationJones (1999) · doi:10.1002/(sici)1522-2594(199907)42:1
Flagged first, then by citations
Research works printed but not linked: 1
- Llinas R Pare D 1997 Coherent oscillations in specific and non-specific thalamocortical networks and their role in cognition Thalamus Steriade M Jones EG McCormick DA II 501 516 Elsevier Amsterdam
Cited by
Sorted by citations
Aggleton, J. P., Pralus, A., Nelson, A. J. D., & Hornberger, M. (2016) · Brain · doi:10.1093/brain/aww083 · Cited by 378 · see citing works
Prefrontal-Thalamic Anatomical Connectivity and Executive Cognitive Function in Schizophrenia
Giraldo‐Chica, M., Rogers, B. P., Damon, S. M., Landman, B. A., & Woodward, N. D. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.09.022 · Cited by 193 · see citing works
Form and function of sleep spindles across the lifespan
Clawson, B. C., Durkin, J., & Aton, S. J. (2016) · Neural Plasticity · doi:10.1155/2016/6936381 · Cited by 178 · see citing works
Zhu, J., Zhuo, C., Xu, L., Liu, F., Qin, W., & Yu, C. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx051 · Cited by 153 · see citing works
Anderson, P. J., Treyvaud, K., Neil, J. J., Cheong, J. L. Y., Hunt, R. W., Thompson, D. K., Lee, K. J., Doyle, L. W., & Inder, T. E. (2017) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2017.04.059 · Cited by 142 · see citing works
Yang, T., Wang, H., Xiong, Y., Chen, C., Duan, K., Jia, J., & Ma, F. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200926 · Cited by 121 · see citing works
Kamali, A., Milosavljevic, S., Gandhi, A., Lano, K. R., Shobeiri, P., Sherbaf, F. G., Sair, H. I., Riascos, R., & Hasan, K. M. (2023) · Brain Topography · doi:10.1007/s10548-023-00955-y · Cited by 116 · see citing works
The anterior thalamic nuclei: core components of a tripartite episodic memory system
Aggleton, J. P., & O’Mara, S. M. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00591-8 · Cited by 112 · see citing works
Quantitative susceptibility mapping of brain iron in healthy aging and cognition
Madden, D. J., & Merenstein, J. L. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120401 · Cited by 95 · see citing works
Effects of Age and Sex on Subcortical Volumes
Wang, Y., Xu, Q., Luo, J., Hu, M., & Zuo, C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00259 · Cited by 91 · see citing works
Schweser, F., Martins, A. L. R. D., Hagemeier, J., Lin, F., Hanspach, J., Weinstock-Guttman, B., Hametner, S., Bergsland, N., Dwyer, M., & Zivadinov, R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.063 · Cited by 86 · see citing works
Cognitive dysfunction in post‐COVID‐19 condition: Mechanisms, management, and rehabilitation
Möller, M. C., Borg, K., Janson, C., Lerm, M., Normark, J., & Niward, K. (2023) · Journal of Internal Medicine · doi:10.1111/joim.13720 · Cited by 87 · see citing works
Demirakça, T., Cardinale, V., Dehn, S., Ruf, M., & Ende, G. (2015) · Neural Plasticity · doi:10.1155/2016/8240894 · Cited by 79 · see citing works
Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study
Chye, Y., Mackey, S., Gutman, B. A., Ching, C. R. K., Batalla, A., Blaine, S. K., Brooks, S. J., Caparelli, E. C., Cousijn, J., Dagher, A., et al. (2019) · Addiction Biology · doi:10.1111/adb.12830 · Cited by 75 · see citing works
Al-Amin, M. M., Bradford, D., Sullivan, R., Kurniawan, N. D., Moon, Y., Han, S., Zalesky, A., & Burne, T. H. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24380 · Cited by 72 · see citing works
Özbek, Y., Fide, E., & Yener, G. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.05.012 · Cited by 69 · see citing works
Thalamic Injury and Cognition in Multiple Sclerosis
Amin, M., & Ontaneda, D. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2020.623914 · Cited by 68 · see citing works
Neurodivergence, intersectionality, and eating disorders: a lived experience-led narrative review
Cobbaert, L., Millichamp, A., Elwyn, R., Silverstein, S., Schweizer, K., Thomas, E., & Miskovic‐Wheatley, J. (2024) · Journal of Eating Disorders · doi:10.1186/s40337-024-01126-5 · Cited by 76 · see citing works
Predicting brain age with complex networks: From adolescence to adulthood
Bellantuono, L., Marzano, L., Rocca, M. L., Duncan, D., Lombardi, A., Maggipinto, T., Monaco, A., Tangaro, S., Amoroso, N., & Bellotti, R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117458 · Cited by 67 · see citing works
Zhan, Z., Lin, L., Yu, E., Xin, J., Lin, L., Lin, H., Ye, Q., Chen, X., & Pan, X. (2018) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12838 · Cited by 66 · see citing works
Zheng, J., Frankovich, J., McKenna, E. S., Rowe, N. C., MacEachern, S. J., Ng, N. N., Tam, L. T., Moon, P. K., Gao, J., Thienemann, M., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.4063 · Cited by 63 · see citing works
The mechanisms of far transfer from cognitive training: Review and hypothesis.
Greenwood, P. M., & Parasuraman, R. (2016) · Neuropsychology · doi:10.1037/neu0000235 · Cited by 62 · see citing works
Hidese, S., Ota, M., Matsuo, J., Ishida, I., Hiraishi, M., Yoshida, S., Noda, T., Sato, N., Teraishi, T., Hattori, K., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.08.028 · Cited by 62 · see citing works
Neurocognitive changes after awake surgery in glioma patients: a retrospective cohort study
van Kessel, E., Snijders, T. J., Baumfalk, A. E., Ruis, C., van Baarsen, K. M., Broekman, M. L. D., van Zandvoort, M. J. E., & Robe, P. A. J. T. (2019) · Journal of Neuro-Oncology · doi:10.1007/s11060-019-03341-6 · Cited by 62 · see citing works
Madden, D. J., Parks, E. L., Tallman, C. W., Boylan, M. A., Hoagey, D. A., Cocjin, S. B., Packard, L. E., Johnson, M. A., Chou, Y., Potter, G. G., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.01.027 · Cited by 61 · see citing works
Santos-Cortez, R. L. P., Khan, V., Khan, F. S., Mughal, Z.-U.-N., Chakchouk, I., Lee, K., Rasheed, M., Hamza, R., Acharya, A., Ullah, E., et al. (2018) · Human Genetics · doi:10.1007/s00439-018-1928-6 · Cited by 55 · see citing works
Steiner, L., Federspiel, A., Slavova, N., Wiest, R., Grunt, S., Steinlin, M. I., & Everts, R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117361 · Cited by 53 · see citing works
The human mediodorsal thalamus: Organization, connectivity, and function
Li, K., Fan, L., Cui, Y. J., Wei, X., He, Y., Yang, J., Lu, Y., Li, W., Shi, W., Cao, L., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118876 · Cited by 52 · see citing works
Unraveling mechanisms of human brain evolution
Lancaster, M. A. (2024) · Cell · doi:10.1016/j.cell.2024.08.052 · Cited by 54 · see citing works
Recent Advances in the Understanding of Specific Efferent Pathways Emerging From the Cerebellum
Kang, S., Jun, S., Baek, S. J., Park, H., Yamamoto, Y., & Tanaka, K. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.759948 · Cited by 53 · see citing works
Extended amygdala connectivity changes during sustained shock anticipation
Torrisi, S., Gorka, A. X., González-Castillo, J., O’Connell, K., Balderston, N. L., Grillon, C., & Monique Ernst, D. (2018) · Translational Psychiatry · doi:10.1038/s41398-017-0074-6 · Cited by 46 · see citing works
Zheng, B.-H., Baez, S., Su, L., Xiang, X., Weis, S., Ibáñez, A., & García, A. (2020) · Brain and Cognition · doi:10.1016/j.bandc.2020.105584 · Cited by 28 · see citing works
Brain levels of high-energy phosphate metabolites and executive function in geriatric depression
Harper, D. G., Joe, E., Jensen, J. E., Ravichandran, C. T., & Forester, B. P. (2016) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4439 · Cited by 46 · see citing works
Traumatic Brain Injury and Posttraumatic Stress Disorder: Comorbid Consequences of War
DIETER, J. N. I., & Engel, S. (2019) · Neuroscience Insights · doi:10.1177/1179069519892933 · Cited by 46 · see citing works
Wang, Y., Jiang, Y., Suo, C., Yuan, Z., Xu, K., Yang, Q., Tang, W., Zhang, K., Zhu, Z., Tian, W., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101749 · Cited by 45 · see citing works
Cognitive and neuroimaging profiles of older adults with dual decline in memory and gait speed
Tian, Q., Studenski, S. A., Montero‐Odasso, M., Davatzikos, C. A., Resnick, S. M., & Ferrucci, L. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.002 · Cited by 45 · see citing works
Loizaga, E., Eyam, A. T., Bastida, L., & Lastra, J. L. M. (2023) · IEEE Access · doi:10.1109/access.2023.3280071 · Cited by 45 · see citing works
Pandey, A. K., Ardekani, B. A., Kamarajan, C., Zhang, J., Chorlian, D. B., Byrne, K. N., Pandey, G., Meyers, J. L., Kinreich, S., Stimus, A. T., et al. (2018) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13854 · Cited by 42 · see citing works
Regional morphometric abnormalities and clinical relevance in Wilson's disease
Zou, L., Song, Y., Zhou, X., Chu, J., & Tang, X. (2019) · Movement Disorders · doi:10.1002/mds.27641 · Cited by 44 · see citing works
Effect of berry-based supplements and foods on cognitive function: a systematic review
Bonyadi, N., Dolatkhah, N., Salekzamani, Y., & Hashemian, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-07302-4 · Cited by 43 · see citing works
Abnormal subcortical nuclei shapes in patients with type 2 diabetes mellitus
Ji, C., Zhang, J., Liu, X., Wang, X., Xu, X., Li, H., Cao, B., Yang, Y., Lu, J., & Chen, Z. (2017) · European Radiology · doi:10.1007/s00330-017-4790-3 · Cited by 38 · see citing works
Volumetric and Diffusion Abnormalities in Subcortical Nuclei of Older Adults With Cognitive Frailty
Wan, M., Xia, R., Lin, H., Qiu, P., He, J., Ye, Y., Tao, J., Chen, L., & Zheng, G. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00202 · Cited by 38 · see citing works
Thalamic nuclei atrophy at high and heterogenous rates during cognitively unimpaired human aging
Choi, E. Y., Tian, L., Su, J., Radovan, M., Tourdias, T., Tran, T., Trelle, A. N., Mormino, E. C., Wagner, A. D., & Rutt, B. K. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119584 · Cited by 38 · see citing works
Thalamic functional connectivity and its association with behavioral performance in older age
Goldstone, A., Mayhew, S. D., Hale, J. R., Wilson, R. S., & Bagshaw, A. P. (2018) · Brain and Behavior · doi:10.1002/brb3.943 · Cited by 34 · see citing works
Ousdal, O. T., Kaufmann, T., Kolskår, K. K., Vik, A., Wehling, E. I., Lundervold, A. J., Lundervold, A., & Westlye, L. T. (2019) · Human Brain Mapping · doi:10.1002/hbm.24833 · Cited by 36 · see citing works
Dorsman, K. A., Weiner‐Light, S., Staffaroni, A. M., Brown, J. A., Wolf, A. A., Cobigo, Y., Walters, S. M., Kramer, J. H., & Casaletto, K. B. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00104 · Cited by 35 · see citing works
Alcohol Use Disorder and Dementia: A Review
Zahr, N. M. (2024) · Alcohol research · doi:10.35946/arcr.v44.1.03 · Cited by 37 · see citing works
Neural basis of attentional focus during endurance exercise
Bigliassi, M. (2020) · International Review of Sport and Exercise Psychology · doi:10.1080/1750984x.2020.1762240 · Cited by 34 · see citing works
Ng, I. H. X., Bonthrone, A. F., Kelly, C. J., Cordero‐Grande, L., Hughes, E., Price, A. N., Hutter, J. M., Victor, S., Schuh, A., Rueckert, D., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-72009-3 · Cited by 34 · see citing works
A phylogenetically-conserved axis of thalamocortical connectivity in the human brain
Oldham, S., & Ball, G. (2023) · Nature Communications · doi:10.1038/s41467-023-41722-8 · Cited by 34 · see citing works
Should musicians play in pain?
Stanhope, J., & Weinstein, P. (2020) · British Journal of Pain · doi:10.1177/2049463720911399 · Cited by 33 · see citing works
Lombardi, A., Monaco, A., Donvito, G., Amoroso, N., Bellotti, R., & Tangaro, S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.619629 · Cited by 32 · see citing works
Hou, J., Dodd, K. C., Nair, V. A., Rajan, S., Beniwal-Patel, P. M., Saha, S., & Prabhakaran, V. (2020) · Scientific Reports · doi:10.1038/s41598-020-59098-w · Cited by 31 · see citing works
Regional rather than global brain age mediates cognitive function in cerebral small vessel disease
Lee, P., Kuo, C.-Y., Wang, P., Chen, L., Lin, C., Chou, K., & Chung, C. (2022) · Brain Communications · doi:10.1093/braincomms/fcac233 · Cited by 30 · see citing works
Detecting type 2 diabetes mellitus cognitive impairment using whole-brain functional connectivity
Wu, J., Fang, Y., Tan, X. L., Kang, S., Yue, X., Rao, Y., Huang, H., Liu, M., Qiu, S., & Yap, P. (2023) · Scientific Reports · doi:10.1038/s41598-023-28163-5 · Cited by 30 · see citing works
Processing speed is related to striatal dopamine transporter availability in Parkinson's disease
Vriend, C., van Balkom, T. D., van Druningen, C. J., Klein, M., van der Werf, Y. D., Berendse, H. W., & van den Heuvel, O. A. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102257 · Cited by 30 · see citing works
Sukumaran, K., Cardenas‐Iniguez, C., Burnor, E., Bottenhorn, K. L., Hackman, D. A., McConnell, R., Berhane, K. T., Schwartz, J. D., Chen, J., & Herting, M. M. (2023) · iScience · doi:10.1016/j.isci.2023.106087 · Cited by 29 · see citing works
Intrinsic connectivity networks in posterior cortical atrophy: A role for the pulvinar?
Fredericks, C. A., Brown, J. A., Deng, J., Kramer, A., Ossenkoppele, R., Rankin, K. P., Kramer, J. H., Miller, B. L., Rabinovici, G. D., & Seeley, W. W. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.101628 · Cited by 29 · see citing works
Common neural deficits across reward functions in major depression: a meta-analysis of fMRI studies
Zhao, X., Wu, S., Li, X., Liu, Z., Lu, W., Lin, K., & Shao, R. (2024) · Psychological Medicine · doi:10.1017/s0033291724001235 · Cited by 29 · see citing works
Flexible and specific contributions of thalamic subdivisions to human cognition
Antonucci, L. A., Penzel, N., Pigoni, A., Dominke, C., Kambeitz, J. P., & Pergola, G. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.014 · Cited by 29 · see citing works
La Buissonniere-Ariza, V., Fitzgerald, K., Meoded, A., Williams, L. L., Liu, G., Goodman, W. K., & Storch, E. A. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.12.182 · Cited by 29 · see citing works
A Key Role for Subiculum-Fornix Connectivity in Recollection in Older Age
Hartopp, N., Wright, P. K., Ray, N. J., Evans, T. E., Metzler‐Baddeley, C., Aggleton, J. P., & O'Sullivan, M. J. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00070 · Cited by 28 · see citing works
Tregidgo, H. F. J., Soskic, S., Althonayan, J. I. M., Maffei, C., Leemput, K. V., Golland, P., Insausti, R., Lerma‐Usabiaga, G., Caballero‐Gaudes, C., Paz‐Alonso, P. M., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120129 · Cited by 28 · see citing works
Dittinger, E., Scherer, J., Jäncke, L., Besson, M., & Elmer, S. (2019) · Brain and Language · doi:10.1016/j.bandl.2019.104678 · Cited by 28 · see citing works
de Ruiter, M. B., Reneman, L., Kieffer, J. M., Oldenburg, H. S. A., & Schagen, S. B. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.21.00627 · Cited by 27 · see citing works
Betrouni, N., Lopes, R., Defebvre, L., Leentjens, A. F. G., & Dujardin, K. (2019) · Movement Disorders · doi:10.1002/mds.27931 · Cited by 26 · see citing works
Neuronal biomarkers of Parkinson's disease are present in healthy aging
Zhang, J., Idaji, M. J., Villringer, A., & Nikulin, V. V. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118512 · Cited by 26 · see citing works
Necula, D., Cho, F. S., He, A., & Paz, J. T. (2021) · The Journal of Comparative Neurology · doi:10.1002/cne.25259 · Cited by 26 · see citing works
Takahashi, T., Tsugawa, S., Nakajima, S., Plitman, E., Chakravarty, M. M., Masuda, F., Wada, M., Kurose, S., Ochi, R., Matsushita, K., et al. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.04.016 · Cited by 26 · see citing works
Ruan, Z., Sun, D., Zhou, X., Yu, M., Li, S., Sun, W., Li, Y., Gao, L., & Xu, H. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1224525 · Cited by 26 · see citing works
Disturbed neurovascular coupling in hemodialysis patients
Jin, M., Wang, L., Wang, H., Han, X., Diao, Z., Guo, W., Yang, Z., Ding, H., Wang, Z., Zhang, P., et al. (2020) · PeerJ · doi:10.7717/peerj.8989 · Cited by 25 · see citing works
Lind, A., Boraxbekk, C., Petersen, E. T., Paulson, O. B., Andersen, O., Siebner, H. R., & Marsman, A. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15456 · Cited by 25 · see citing works
Ilyas, A., Tóth, E., Chaitanya, G., Riley, K. O., & Pati, S. B. B. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.01.134 · Cited by 25 · see citing works
Hirabayashi, N., Hata, J., Furuta, Y., Ohara, T., Shibata, M., Hirakawa, Y., Yamashita, F., Yoshihara, K., Kitazono, T., Sudo, N., et al. (2022) · Diabetes Care · doi:10.2337/dc21-1911 · Cited by 25 · see citing works
Cerebral chemoarchitecture shares organizational traits with brain structure and function
Hänisch, B., Hansen, J. Y., Bernhardt, B. C., Eickhoff, S. B., Dukart, J., Mišić, B., & Valk, S. L. (2023) · eLife · doi:10.7554/elife.83843 · Cited by 23 · see citing works
Pfefferbaum, A., Sullivan, E. V., Zahr, N. M., Pohl, K. M., & Saranathan, M. (2022) · Human Brain Mapping · doi:10.1002/hbm.26088 · Cited by 24 · see citing works
Self-citationThalamic deep brain stimulation decelerates automatic lexical activation
Ehlen, F., Vonberg, I., Tiedt, H. O., Horn, A., Fromm, O., Kühn, A. A., & Klostermann, F. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.10.001 · Cited by 24 · see citing works
Contributions of the left and right thalami to language: A meta-analytic approach
Bulut, T., & Peter Hagoort, A. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02795-3 · Cited by 25 · see citing works
Thalamic volume and dimensions on MRI in the pediatric population: Normative values and correlations
Tutunji, R., Homsi, M. E., Saaybi, S. R., AlArab, N., Tamim, H., Makki, M. H., Hourani, M. H., & Hourani, R. G. (2018) · European Journal of Radiology · doi:10.1016/j.ejrad.2018.10.018 · Cited by 23 · see citing works
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 · see citing works
Thalamic Dorsomedial Nucleus Free Water Correlates with Cognitive Decline in Parkinson's Disease
Guttuso, T. J., Sirica, D., Tosun, D., Zivadinov, R., Pasternak, O., Weintraub, D. A., Baglio, F., & Bergsland, N. (2021) · Movement Disorders · doi:10.1002/mds.28886 · Cited by 22 · see citing works
Brain volumetrics across the lifespan of the rhesus macaque
Dash, S., Park, B. S., Kroenke, C. D., Rooney, W. D., Urbanski, H. F., & Kohama, S. G. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.02.002 · Cited by 23 · see citing works
Reid, M., Hannemann, N. P., York, G. E., Ritter, J. L., Kini, J. A., Lewis, J. D., Sherman, P. M., Velez, C. S., Drennon, A. M., Bolzenius, J. D., et al. (2017) · Journal of Neuroimaging · doi:10.1111/jon.12431 · Cited by 22 · see citing works
Source EEG reveals that Rolandic epilepsy is a regional epileptic encephalopathy
Spencer, E. R., Chinappen, D. M., Emerton, B. C., Morgan, A. K., Hämäläinen, M., Manoach, D. S., Eden, U. T., Kramer, M., & Chu, C. J. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.102956 · Cited by 22 · see citing works
Pan, C., Chen, G., Ping, J., Li, G., Li, Y., Miao, J., Sun, W., Wang, Y., Lan, Y., Qiu, X., et al. (2023) · Stroke · doi:10.1161/strokeaha.122.042127 · Cited by 21 · see citing works
Gender-Related Differences in Regional Cerebral Glucose Metabolism in Normal Aging Brain
Feng, B., Cao, J., Yaping, Y., Yang, H., Jiang, Y., Liu, Y., Wang, R., & Zhao, Q. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.809767 · Cited by 21 · see citing works
Safe driving and executive functions in healthy middle-aged drivers
León-Domínguez, U., Marcos, I. S., Barrio-Álvarez, E., y Martín, J. M. B., & León‐Carrión, J. (2016) · Applied Neuropsychology Adult · doi:10.1080/23279095.2015.1137296 · Cited by 21 · see citing works
Zhang, M., Jadavji, N. M., Yoo, H.-S., & Smith, P. D. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.12.019 · Cited by 21 · see citing works
Kim, G. S., Stephenson, J. M., Mamun, A. A., Wu, T., Goss, M. G., Min, J., Li, J., Liu, F., & Marrelli, S. P. (2021) · Scientific Reports · doi:10.1038/s41598-021-91998-3 · Cited by 21 · see citing works
Tuokkola, T., Karrasch, M., Koikkalainen, J. R., Parkkola, R. K., Lötjönen, J. M. P., Löyttyniemi, E., Hurme, S. A. M., & Rinne, J. O. (2019) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000502476 · Cited by 20 · see citing works
Transcriptional profiling reveals protective mechanisms in brains of long-lived mice
Frahm, C., Srivastava, A., Schmidt, S., Mueller, J., Groth, M., Guenther, M., Ji, Y., Priebe, S., Platzer, M., & Witte, O. W. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.12.016 · Cited by 19 · see citing works
Umapathy, L., Keerthivasan, M., Zahr, N. M., Bilgin, A., & Saranathan, M. (2021) · Neuroinformatics · doi:10.1007/s12021-021-09544-5 · Cited by 19 · see citing works
P300, Gray Matter Volume and Individual Characteristics Correlates in Healthy Elderly
Pergher, V., Tournoy, J., Schoenmakers, B., & Hulle, M. M. V. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00104 · Cited by 18 · see citing works
Sex differences in brain and behavioral development
Beltz, A. M., Kelly, D. P., & Berenbaum, S. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814411-4.00027-5 · Cited by 20 · see citing works
Huang, C., Chen, P., Tsai, C., Chiang, H.-F., Hsieh, C.-C., Chen, T.-L., Liao, W.-H., Chen, Y.-L., & Wang, J. (2023) · European Radiology · doi:10.1007/s00330-023-10012-8 · Cited by 18 · see citing works
Sleep and Cognitive Abnormalities in Acute Minor Thalamic Infarction
Wu, W., Cui, L., Fu, Y., Tian, Q.-Q., Liu, L., Zhang, X., Du, N., Chen, Y., Qiu, Z., Song, Y., et al. (2016) · Neuroscience Bulletin · doi:10.1007/s12264-016-0036-7 · Cited by 18 · see citing works
Bell, R. P., Barnes, L. L., Towe, S. L., Chen, N., Song, A. W., & Meade, C. S. (2018) · Journal of NeuroVirology · doi:10.1007/s13365-018-0634-4 · Cited by 18 · see citing works
Long-term obesity impacts brain morphology, functional connectivity and cognition in adults
Zhang, D., Shen, C., Chen, N., Liu, C., Hu, J., Lau, K. K., Wen, Z., & Qiu, A. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00396-5 · Cited by 17 · see citing works
Stantonyonge, N., Sampedro, F., Méndez, J., Martínez‐Horta, S., Chico, A. I., & Gómez‐Ansón, B. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa832 · Cited by 16 · see citing works
Brain Structural Changes in Patients with Pulmonary Arterial Hypertension
Roy, B., Vacas, S., Ehlert, L., McCloy, K., Saggar, R., & Kumar, R. (2021) · Journal of Neuroimaging · doi:10.1111/jon.12840 · Cited by 19 · see citing works
- Authors
- Fama, R., & Sullivan, E. V.
- Affiliations
- SRI International (US)
- Stanford Medicine (US)
- Corresponding author
- Fama, Rosemary
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 54
- Pages
- 29-37
- ISSN
- 0149-7634 (ISSN-L)
- PMC
- PMC4457546
- OpenAlex
- W2081274529
- Cited by
- 323
- References
- 81
- Citations by year
- 2026: 23 · 2025: 38 · 2024: 56 · 2023: 41 · 2022: 37 · 2021: 28 · 2020: 32 · 2019: 18 · 2018: 18 · 2017: 15 · 2016: 13 · 2015: 4
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (AA010723, AA017168, AA012388)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- thalamus, aging, cognitive aging, thalamic connectivity, attention, processing speed, working memory, episodic memory, thalamic nuclei
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Brain, Brain Mapping, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Memory, Middle Aged, Neural Pathways, Thalamus, Young Adult, Diffusion Tensor Imaging
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