Cited by 323Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesDementia and Cognitive Impairment Research

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Thalamic structures and associated cognitive functions: Relations with age and aging

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Fama, Rosemary, Sullivan, Edith V.·2015·Neuroscience & Biobehavioral Reviews

DOI 10.1016/j.neubiorev.2015.03.008PMC PMC4457546

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Abstract

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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Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.2.237 · Cited by 3,419
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
Priming and Human Memory Systems
Tulving, E., & Schacter, D. L. (1990) · Science · doi:10.1126/science.2296719 · Cited by 2,595
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
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Gazzaniga, M. S., & Bizzi, E. (2000) · Cited by 2,547
Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, "prefrontal" and "limbic" functions.
Alexander, G. E., Crutcher, M. D., & DeLong, M. R. (1990) · PubMed · Cited by 2,422
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Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,402
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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

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Authors: Fama, R., & Sullivan, E. V.
Affiliations: SRI International (US)
Stanford Medicine (US)
Corresponding author: Fama, Rosemary
ORCID: Fama, Rosemary
Sullivan, Edith V.
Venue: Neuroscience & Biobehavioral Reviews
Publisher: Elsevier BV
Published: 2015-07
Volume: 54
Pages: 29-37
ISSN: 0149-7634 (ISSN-L)
DOI: 10.1016/j.neubiorev.2015.03.008
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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Thalamic structures and associated cognitive functions: Relations with age and aging

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