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

Studies of interference in serial verbal reactions

Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622

Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI

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

New cognitive neurosciences

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

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 2,402

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

Association Between White Matter Networks and the Pattern of Striatal Dopamine Depletion in Patients With Parkinson Disease

Chung, S. J., Kim, Y. J., Kim, Y. J., Lee, H. S., Jeong, S. H., Hong, J., Sohn, Y. H., Yun, M., Jeong, Y., & Lee, P. H. (2022) · Neurology · doi:10.1212/wnl.0000000000201269 · Cited by 17

Characterizing functional modules in the human thalamus: coactivation-based parcellation and systems-level functional decoding

Boeken, O. J., Cieslik, E. C., Langner, R., & Markett, S. A. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02603-w · Cited by 18

Brain morphology according to age, sex, and handedness

Kang, S. J., Kang, K. A., Jang, H. W., Lee, J. Y., Lee, K. I., Kwoen, M. S., Kim, J. S., & Park, K. M. (2017) · Annals of Clinical Neurophysiology · doi:10.14253/acn.2017.19.2.93 · Cited by 17

Reduced Thalamus Volume and Enhanced Thalamus and Fronto-Parietal Network Integration in the Chess Experts

Wang, Y., Zuo, C., Wang, D., Tao, S., & Lei, H. C. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa140 · Cited by 21

White matter alterations related to attention-deficit hyperactivity disorder and COMT val158met polymorphism: children with valine homozygote attention-deficit hyperactivity disorder have altered white matter connectivity in the right cingulum (cingulate gyrus)

Herken, H., Başay, B. K., Büber, A., Başay, Ö., Alaçam, H., Öztürk, Ö., Süren, S., Ay, Ö. İ., Ağladıoğlu, K., Erdal, M. E., et al. (2016) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s104450 · Cited by 17

Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks

Majdi, M. S., Keerthivasan, M., Rutt, B. K., Zahr, N. M., Rodrı́guez, J. J., & Saranathan, M. (2020) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2020.08.005 · Cited by 16

Decreased Volume of Lateral and Medial Geniculate Nuclei in Patients with LHON Disease—7 Tesla MRI Study

Jonak, K., Krukow, P., Jonak, K. E., Radzikowska, E., Baj, J., Niedziałek, A., Pankowska, A., Symms, M. R., Stępniewski, A., Podkowiński, A., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092914 · Cited by 16

Genetic evidence for the causal relationships between migraine, dementia, and longitudinal brain atrophy

Zhao, L., Tang, Y., Tu, Y., & Cao, J. (2024) · The Journal of Headache and Pain · doi:10.1186/s10194-024-01801-7 · Cited by 17

Disorder-specific brain volumetric abnormalities in Attention-Deficit/Hyperactivity Disorder relative to Autism Spectrum Disorder

Sáenz, A. A., Schuerbeek, P. V., Baijot, S., Septier, M., Deconinck, N., Defresne, P., Delvenne, V., Passeri, G., Raeymaekers, H., Slama, H., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241856 · Cited by 19

Cognitive Impairment in Coeliac Disease with Respect to Disease Duration and Gluten-Free Diet Adherence: A Pilot Study

Croall, I. D., Tooth, C., Venneri, A., Poyser, C. A., Sanders, D. S., Hoggard, N., & Hadjivassiliou, M. (2020) · Nutrients · doi:10.3390/nu12072028 · Cited by 15

Age‐related differences in long‐term potentiation‐like plasticity and short‐latency afferent inhibition and their association with cognitive function

Lu, Q., Huang, S., Zhang, T., Song, J., Dong, M., Qian, Y., Teng, J., Wang, T., He, C., & Shen, Y. (2024) · General Psychiatry · doi:10.1136/gpsych-2023-101181 · Cited by 15

Brain age prediction using interpretable multi-feature-based convolutional neural network in mild traumatic brain injury

Zhang, X., Pan, Y., Wu, T., Zhao, W., Zhang, H., Ding, J., Ji, Q., Jia, X., Li, X., Lee, Z., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120751 · Cited by 15

Reduced Gray Matter Volume of the Thalamus and Hippocampal Region in Elderly Healthy Adults with no Impact of APOE ɛ 4: A Longitudinal Voxel-Based Morphometry Study

Squarzoni, P., Duran, F., Busatto, G. F., & Alves, T. C. T. F. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-161036 · Cited by 15

Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an "explainable AI" mindsetPreprint

Hérent, P., Jégou, S., Wainrib, G., & Clozel, T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/413302 · Cited by 16

Central nervous system microstructural alterations in Type 1 diabetes mellitus: A systematic review of diffusion Tensor imaging studies

Dolatshahi, M., Moghaddam, H. S., Saberi, P., Mohammadi, S., & Aarabi, M. H. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110645 · Cited by 16

Development of brain white matter and math computation ability in children born very preterm and full-term

Collins, S. E., Thompson, D. K., Kelly, C. E., Yang, J., Pascoe, L., Inder, T., Doyle, L., Cheong, J., Burnett, A. C., & Anderson, P. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100987 · Cited by 12

Presurgical Thalamus Volume in Postoperative Delirium: A Longitudinal Observational Cohort Study in Older Patients

Fislage, M., Feinkohl, I., Pischon, T., Spies, C., Borchers, F., Winterer, G., & Zacharias, N. (2022) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000005987 · Cited by 14

Cognitive outcome is related to functional thalamo-cortical connectivity after paediatric stroke

Steiner, L., Federspiel, A., Slavova, N., Wiest, R., Grunt, S., Steinlin, M. I., & Everts, R. (2022) · Brain Communications · doi:10.1093/braincomms/fcac110 · Cited by 14

Neuropsychological consequences of pallidal deep brain stimulation altering brain networks

Huh, R., Song, I., & Chung, M. (2018) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2018.05.004 · Cited by 13

Anatomical brain MRI study of pediatric cancer survivors treated with chemotherapy: Correlation with behavioral measures

Cahaney, C., Stefancin, P. L., Coulehan, K., Parker, R. I., Preston, T., Goldstein, J. H. R., Hogan, L. E., & Duong, T. Q. (2020) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2020.05.007 · Cited by 13

Abnormal Functional Connectivity of Thalamic Subdivisions in Alzheimer’s Disease: A Functional Magnetic Resonance Imaging Study

Wu, Y., Wu, X., Gao, L., Yan, Y., Geng, Z., Zhou, S., Zhu, W., Tian, Y., Yu, Y., Wei, L., et al. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.06.006 · Cited by 13

Association between patient-reported cognitive function and location of glioblastoma

Schei, S., Sagberg, L. M., Bø, L. E., Reinertsen, I., & Solheim, O. S. (2023) · Neurosurgical Review · doi:10.1007/s10143-023-02177-z · Cited by 13

Thalamic Alterations in Motor Neuron Diseases: A Systematic Review of MRI Findings

Mohammadi, S., Ghaderi, S., Mohammadi, M., Pashaki, Z. N. A., Khatyal, R., Mohammadian, F., & Mohammadjani, S. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2304077 · Cited by 14

Ultrasound Measures of Brain Pulsatility Correlate with Subcortical Brain Volumes in Healthy Young Adults

Desmidt, T., Andersson, F., Brizard, B., Dujardin, P., Cottier, J., Patat, F., Réméniéras, J.-P., Gissot, V., El‐Hage, W., & Camus, V. (2018) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2018.06.016 · Cited by 13

Linking the impact of aging on visual short-term memory capacity with changes in the structural connectivity of posterior thalamus to occipital cortices

Menegaux, A., Bäuerlein, F. J. B., Vania, A., Napiórkowski, N., Neitzel, J., Ruiz‐Rizzo, A. L., Müller, H. J., Sorg, C., & Finke, K. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116440 · Cited by 14

Altered brain morphology and functional connectivity in postmenopausal women: automatic segmentation of whole-brain and thalamic subnuclei and resting-state fMRI

Kim, G.-W., Park, K., Kim, Y., & Jeong, G.-W. (2024) · Aging · doi:10.18632/aging.205662 · Cited by 12

Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer’s disease

Moon, H. S., Mahzarnia, A., Stout, J. A., Anderson, R. J., Han, Z. Y., Tremblay, J. T., Badea, C. T., & Badea, A. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00245 · Cited by 14

Resting-state functional abnormalities in ischemic stroke: a meta-analysis of fMRI studies

Zhang, Z. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00919-1 · Cited by 13

Quantitative evaluation of brain volumes in drug-free major depressive disorder using MRI-Cloud method

Avnioğlu, S., Velioğlu, H. A., Çankaya, Ş., & Yuluğ, B. (2021) · Neuroreport · doi:10.1097/wnr.0000000000001682 · Cited by 12

Associations Between Social Network Characteristics and Brain Structure Among Older Adults

Manchella, M. K., Logan, P. E., Perry, B. L., Peng, S., Risacher, S. L., Saykin, A. J., & Apostolova, L. G. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13534 · Cited by 10

Temporal association between sleep spindles and ripples in the human anterior and mediodorsal thalamus

Szalárdy, O., Simor, P., Ujma, P. P., Jordán, Z., Halász, L., Erőss, L., Fabó, D., & Bódizs, R. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16240 · Cited by 14

Mapping common and distinct brain correlates among cognitive flexibility tasks: concordant evidence from meta-analyses

Chuikova, Z. V., Filatov, A. A., Faber, A. Y., & Arsalidou, M. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00921-7 · Cited by 13

Multi-institutional atlas of brain metastases informs spatial modeling for precision imaging and personalized therapy

Barrios, J., Porter, E., Capaldi, D. P. I., Upadhaya, T., Chen, W. C., Perks, J. R., Apte, A., Aristophanous, M., LoCastro, E., Hsu, D., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59584-7 · Cited by 11

Spatiotemporal profile of atrophy in the first year following moderate‐severe traumatic brain injury

Brennan, D. J., Duda, J., Ware, J. B., Whyte, J., Choi, J. Y., Gugger, J. J., Focht, K., Walter, A. E., Bushnik, T. L., Gee, J. C., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26410 · Cited by 11

Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure

Cabrera-Álvarez, J., Doorn, N., Maestú, F., & Susi, G. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011007 · Cited by 11

Effects of thalamic deep brain stimulation on spontaneous language production

Ehlen, F., Vonberg, I., Kühn, A. A., & Klostermann, F. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.05.028 · Cited by 11

Neuromodulation of the anterior thalamus: Current approaches and opportunities for the future

Venkatesh, P., Wolfe, C. B., & Lega, B. C. (2023) · Current Research in Neurobiology · doi:10.1016/j.crneur.2023.100109 · Cited by 9

Subcortical Alterations in Newly Diagnosed Epilepsy and Associated Changes in Brain Connectivity and Cognition

de Bézenac, C. E., Leek, N., Adan, G., Mohanraj, R., Biswas, S., Marson, A. G., & Keller, S. S. (2024) · Human Brain Mapping · doi:10.1002/hbm.70069 · Cited by 10

Disuse-driven plasticity in the human thalamus and putamen

Chauvin, R. J., Newbold, D. J., Nielsen, A. N., Miller, R. L., Krimmel, S. R., Metoki, A., Wang, A., Van, A. N., Montez, D. F., Marek, S. A., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115570 · Cited by 10

A Comparative Analysis of White Matter Structural Networks on SCLC Patients After Chemotherapy

Mentzelopoulos, A., Karanasiou, I. S., Papathanasiou, M. A., Kelekis, N., Kouloulias, V., & Matsopoulos, G. K. (2022) · Brain Topography · doi:10.1007/s10548-022-00892-2 · Cited by 12

Presurgical diffusion metrics of the thalamus and thalamic nuclei in postoperative delirium: A prospective two-centre cohort study in older patients

Fislage, M., Winzeck, S., Stamatakis, E. A., Correia, M., Preller, J., Feinkohl, I., Spies, C., Hendrikse, J., Slooter, A. J. C., Winterer, G., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103208 · Cited by 10

Preoperative thalamus volume is not associated with preoperative cognitive impairment (preCI) or postoperative cognitive dysfunction (POCD)

Fislage, M., Feinkohl, I., Borchers, F., Pischon, T., Spies, C., Winterer, G., Zacharias, N., Wolf, A., Müller, A., Hadzidiakos, D. A., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-38673-x · Cited by 10

The role of histamine H1, H2 and H3 receptors of ventral posteromedial nucleus of thalamus in modulation of trigeminal pain

Tamaddonfard, E., Erfanparast, A., Ghasemi, H., Henareh-Chareh, F., Hadidi, M., Mirzakhani, N., Seyedin, S., Taati, M., Salighedar, R., Salimi, S., et al. (2016) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2016.09.039 · Cited by 10

The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging

Zhao, X., Wu, Q., Chen, Y., Song, X., Ni, H., & Ming, D. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00184 · Cited by 10

Requiring collaboration: Hippocampal-prefrontal networks needed in spatial working memory and ageing. A multivariate analysis approach

Zancada-Menéndez, C., Álvarez-Suárez, P., Sampedro‐Piquero, P., Cuesta, M., & Begega, A. (2017) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2017.02.008 · Cited by 11

Age-Related Dynamics of Cognitive Functions in Persons Aged 50–85 Years

Zakharov, V. V., Savushkina, I. Y., Mkhitaryan, E. A., Koberskaya, N. N., Борисовна, Л. А., Гришина, Д. А., Posokhov, C. I., Tarapovskaya, A. V., & Yakhno, N. N. (2018) · Advances in Gerontology · doi:10.1134/s2079057018010137 · Cited by 10

Abnormal Local Brain Activity and Cognitive Impairments in Young Non‐Disabled Patients With Intracerebral Hemorrhage: A Resting‐State Functional MRI Study

Yang, D., Zhang, X., Luo, X., Zhang, F., Sun, S., Shaocheng, L., Zhao, X., & Zhou, J. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29166 · Cited by 9

Large-scale coupling of prefrontal activity patterns as a mechanism for cognitive control in health and disease: evidence from rodent models

Negrón-Oyarzo, I., Dib, T., Chacana-Véliz, L., Quilodrán, N. L., & Urrutia-Piñones, J. (2024) · Frontiers in Neural Circuits · doi:10.3389/fncir.2024.1286111 · Cited by 7

High-Dimensional Mapping of Cognition to the Brain Using Voxel-Based Morphometry and Subcortical Shape Analysis

Zonneveld, H. I., Roshchupkin, G. V., Adams, H. H. H., Gutman, B. A., van der Lugt, A., Niessen, W. J., Vernooij, M. W., & Ikram, M. A. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181297 · Cited by 9

Evaluating the amygdala network induced by neurofeedback training for emotion regulation using hierarchical clustering

Liu, N., Yao, L., & Zhao, X. (2020) · Brain Research · doi:10.1016/j.brainres.2020.146853 · Cited by 9

Cancer patients’ age-related benefits from mobile neurofeedback-therapy in quality of life and self-efficacy: a clinical waitlist control study

Schmidt, K., Krawutschke, M., Kowalski, A., Pasche, S., Bialek, A., Schweig, T., Weismüller, B., Tewes, M., Schuler, M., Hamacher, R., et al. (2023) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-022-09571-1 · Cited by 8

Eight brain structures mediate the age-related alterations of the working memory: forward and backward digit span tasks

Bahri, M., Farrahi, H., Mahdavinataj, H., & Batouli, S. A. H. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1377342 · Cited by 8

An ALE meta-analysis on the effects of neural changes due to exercise on executive function in a healthy population

Chai, Q.-Y., Song, A., Zhao, Q.-Y., Shen, Q.-Q., & Cui, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-17431-1 · Cited by 10

Neuroimaging changes associated with vitamin D Deficiency – a narrative review

Sultan, S. (2021) · Nutritional Neuroscience · doi:10.1080/1028415x.2021.1888206 · Cited by 8

Cognitive decline is associated with frequency-specific resting state functional changes in normal aging

Fan, D., Liu, T., Jiang, J., Kochan, N. A., Wang, Y., Brodaty, H., Sachdev, P. S., & Wen, W. X. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-022-00682-1 · Cited by 8

Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI

Tregidgo, H. F. J., Soskic, S., Olchanyi, M., Althonayan, J. I. M., Billot, B., Maffei, C., Golland, P., Yendiki, A., Alexander, D. C., Bocchetta, M., et al. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43993-3_24 · Cited by 8

Clinical and cognitive correlates tractography analysis in patients with white matter hyperintensity of vascular origin

Kuang, Q., Huang, M., Lei, Y., Wu, L., Chen, J., Dai, J., & Zhou, F. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1187979 · Cited by 8

Aging-induced microbleeds of the mouse thalamus compared to sensorimotor and memory defects

Wang, Y., Taylor, E. N., Zikopoulos, B., Seta, F., Huang, N., Hamilton, J. A., Kantak, K. M., & Morgan, K. G. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.11.017 · Cited by 8

Performance ramifications of abnormal functional connectivity of ventral posterior lateral thalamus with cerebellum in abstinent individuals with Alcohol Use Disorder

Honnorat, N., Saranathan, M., Sullivan, E. V., Pfefferbaum, A., Pohl, K. M., & Zahr, N. M. (2021) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2021.108509 · Cited by 8

The CBI‐R detects early behavioural impairment in genetic frontotemporal dementia

Nelson, A., Russell, L. L., Peakman, G., Convery, R. S., Bouzigues, A., Greaves, C. V., Bocchetta, M., Cash, D. M., Swieten, J. C. V., Jiskoot, L. C., et al. (2022) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51544 · Cited by 8

Clinicoradiological Features and Long-term Cognitive and Functional Outcome in Patients with Deep Cerebral Venous Thrombosis

Patwardhan, A., Gupta, M., Philip, M., Rangarajan, A., Joshi, T., Alladi, S., Kulkarni, G. B., & Ramakrishnan, S. (2024) · Annals of Indian Academy of Neurology · doi:10.4103/aian.aian_792_23 · Cited by 7

Exploring morphological similarity and randomness in Alzheimer’s disease using adjacent grey matter voxel-based structural analysis

Chen, T., Zhu, J., Tsai, S., & Yang, A. C. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01448-1 · Cited by 8

Perinatal development of structural thalamocortical connectivity

Oldham, S., Sina Mansour, L., & Ball, G. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00418 · Cited by 7

Progressive myoclonic epilepsy type 1 (EPM1) patients present with abnormal 1H MRS brain metabolic profiles associated with cognitive function

Hyppönen, J., Paanila, V., Äikiä, M., Koskenkorva, P., Könönen, M., Vanninen, R. L., Mervaala, E., Kälviäinen, R. K., & Hakumäki, J. M. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103459 · Cited by 7

Broadscale dampening of uncertainty adjustment in the aging brain

Kosciessa, J. Q., Mayr, U., Lindenberger, U., & Garrett, D. D. (2024) · Nature Communications · doi:10.1038/s41467-024-55416-2 · Cited by 7

Susceptibility networks reveal independent patterns of brain iron abnormalities in multiple sclerosis

Reeves, J. A., Bergsland, N., Dwyer, M. G., Wilding, G. E., Jakimovski, D., Salman, F., Sule, B., Meineke, N., Weinstock‐Guttman, B., Zivadinov, R., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119503 · Cited by 8

Heritability of Subcortical Grey Matter Structures

Strelnikov, D., Alijanpourotaghsara, A., Piroska, M., Szalontai, L., Forgó, B., Jokkel, Z., Persely, A., Hernyes, A., Kozák, L. R., Szabó, Á., et al. (2022) · Medicina · doi:10.3390/medicina58111687 · Cited by 7

Functional network of contextual and temporal memory has increased amygdala centrality and connectivity with the retrosplenial cortex, thalamus, and hippocampus

Santos, T. B., Soares, J. C. K., Coelho, C. A. O., & Oliveira, M. G. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-39946-1 · Cited by 8

Differential diagnosis for cognitive decline in elderly

Jha, S., & Prakash, O. (2016) · Journal of Geriatric Mental Health · doi:10.4103/2348-9995.181911 · Cited by 7

The neuroscience of itch in relation to transdiagnostic psychological approaches

Kim, J. J., & Day, M. A. (2024) · Scientific Reports · doi:10.1038/s41598-024-69973-5 · Cited by 7

Neuropathological Correlates of Volume and Shape of Deep Gray Matter Structures in Community‐Based Older Adults

Saifullah, K., Makkinejad, N., Yasar, M. T., Evia, A. M., Leurgans, S. E., Bennett, D. A., Schneider, J. A., & Arfanakis, K. (2025) · Human Brain Mapping · doi:10.1002/hbm.70273 · Cited by 6

Thalamo-cortical inter-subject functional correlation during movie watching across the adult lifespan

Niu, J., Zheng, Z., Wang, Z., Xu, L., Meng, Q., Zhang, X., Kuang, L., Wang, S., Dong, L., Qiu, J., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.984571 · Cited by 6

Vascular architecture mapping reveals sex-specific changes in cerebral microvasculature with aging

Hohmann, A., Zhang, K., Jende, J. M. E., Mooshage, C. M., Görgen, K., Rotkopf, L. T., Schlemmer, H., Vollmuth, P., Bendszus, M., Wick, W., et al. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00066 · Cited by 6

Disentangling the effects of modality, interval length and task difficulty on the accuracy and precision of older adults in a rhythmic reproduction task

Hiroyasu, E. M. G., & Yotsumoto, Y. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248295 · Cited by 6

Cognitive Profile of Patients with Thalamic Hemorrhage according to Lesion Localization

Temel, M., Polat, B. S. A., Şendur, N. K., & Karadaş, Ö. (2021) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000516439 · Cited by 6

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Carlier, J., Goff, F. L., Pouliquen, D., Bliaux, E., Bioux, S., Gérardin, E., Cruypeninck, Y., Segobin, S. H., Savouré, A., & Martinaud, O. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15978 · Cited by 5

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Hausmann, A. C., Rubbert, C., Querbach, S. K., Ivan, V. L., Schnitzler, A., Hartmann, C. J., & Caspers, J. (2025) · Neurological Research and Practice · doi:10.1186/s42466-025-00401-3 · Cited by 4

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Patel, R., Marrie, R. A., Bernstein, C. N., Bolton, J. M., Graff, L. A., Marriott, J. J., Figley, C. R., Kornelsen, J., Mazerolle, E. L., Helmick, C. A., et al. (2023) · Inflammatory Bowel Diseases · doi:10.1093/ibd/izad204 · Cited by 4

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Mohammadiarvejeh, P., Fili, M., Dawson, A., Klinedinst, B. S., Wang, Q., Moody, S. N., Barnett, N. P., Pollpeter, A., Larsen, B. A., Li, T., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01458-9 · Cited by 4

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Tung, H., Tsai, S., Huang, P.-R., Hsieh, P. F., Lin, Y.-C., & Peng, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-49856-x · Cited by 4

Identification and characterization of the thalamic ventral posterior complex by 11.7T ex vivo diffusion tensor imaging

Oishi, K., Chotiyanonta, J. S., Mori, S., Troncoso, J. C., & Lenz, F. A. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-02915-7 · Cited by 4

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 135

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

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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

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