Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers

“Mini-mental state”

Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282

The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267

Untitled work

(1998) · Cited by 36,049

The assessment and analysis of handedness: The Edinburgh inventory

Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900

Intraclass correlations: Uses in assessing rater reliability.

Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532

Book Reviews: Statistical Methods for Meta-Analysis Larry V. Hedges and Ingram Olkin New York: Academic Press, 1985. xxii + 369 pp

Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377

Parallel organization of functionally segregated circuits linking basal ganglia and cortex

Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527

"General Intelligence," Objectively Determined and Measured

Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412107 · Cited by 6,207

Brain development during childhood and adolescence: a longitudinal MRI study

Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552

The Association Between Quantitative Measures of Dementia and of Senile Change in the Cerebral Grey Matter of Elderly Subjects

Blessed, G., Tomlinson, B. E., & Roth, M. (1968) · British Journal of Psychiatry · doi:10.1192/bjp.114.512.797 · Cited by 4,117

Exercise training increases size of hippocampus and improves memory

Erickson, K. I., Voss, M. W., Prakash, R. S., Basak, C., Szabo, A., Chaddock, L., Kim, J. S., Heo, S., Alves, H., White, S. M., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015950108 · Cited by 4,855

The adaptive brain: aging and neurocognitive scaffolding

Park, D. C., & Reuter-Lorenz, P. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093656 · Cited by 2,790

When does age-related cognitive decline begin?

Salthouse, T. A. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.09.023 · Cited by 1,848

Brain-Derived Neurotrophic Factor: A Key Molecule for Memory in the Healthy and the Pathological Brain

Miranda, M., Morici, J. F., Zanoni, M. B., & Bekinschtein, P. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00363 · Cited by 1,416

Distinct Genetic Influences on Cortical Surface Area and Cortical Thickness

Panizzon, M. S., Fennema-Notestine, C., Eyler, L. T., Jernigan, T. L., Prom-Wormley, E., Neale, M., Jacobson, K., Lyons, M. J., Grant, M. D., Franz, C. E., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp026 · Cited by 1,304

Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing

Cabeza, R., Albert, M., Belleville, S., Craik, F. I. M., Duarte, A., Grady, C. L., Lindenberger, U., Nyberg, L., Park, D. C., Reuter-Lorenz, P. A., et al. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0068-2 · Cited by 1,298

The neuronal basis and ontogeny of empathy and mind reading: Review of literature and implications for future research

Singer, T. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.011 · Cited by 1,079

Imaging structural co-variance between human brain regions

Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3465 · Cited by 1,064

The structural basis of inter-individual differences in human behaviour and cognition

Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055

Aerobic fitness is associated with hippocampal volume in elderly humans

Erickson, K. I., Prakash, R. S., Voss, M. W., Chaddock, L., Hu, L., Morris, K. S., White, S. M., Wójcicki, T. R., McAuley, E., & Kramer, A. F. (2009) · Hippocampus · doi:10.1002/hipo.20547 · Cited by 1,007

Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry

Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765

A theoretical framework for the study of adult cognitive plasticity

Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S., & Schmiedek, F. (2010) · Psychological Bulletin · doi:10.1037/a0020080 · Cited by 731

Exercise, cognition, and the aging brain

Kramer, A. F., Erickson, K. I., & Colcombe, S. J. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00500.2006 · Cited by 719

Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age

Sowell, E. R., Peterson, B. S., Kan, E., Woods, R. P., Yoshii, J., Bansal, R., Xu, D., Zhu, H., Thompson, P. M., & Toga, A. W. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl066 · Cited by 695

One-Year Brain Atrophy Evident in Healthy Aging

Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., Brewer, J. B., & Dale, A. M. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3252-09.2009 · Cited by 692

Physical activity, fitness, and gray matter volume

Erickson, K. I., Leckie, R. L., & Weinstein, A. M. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.034 · Cited by 630

Brain-derived neurotrophic factor is associated with age-related decline in hippocampal volume.

Erickson, K. I., Prakash, R. S., Voss, M. W., Chaddock, L., Heo, S., McLaren, M., Pence, B. D., Martin, S. A., Vieira, V. J., Woods, J. A., et al. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.6251-09.2010 · Cited by 604

Structural covariance in the human cortex

Mechelli, A., Friston, K. J., Frackowiak, R. S., & Price, C. J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0357-05.2005 · Cited by 606

Pattern separation deficits associated with increased hippocampal CA3 and dentate gyrus activity in nondemented older adults

Yassa, M. A., Lacy, J. W., Stark, S. M., Albert, M. S., Gallagher, M., & Stark, C. E. L. (2011) · Hippocampus · doi:10.1002/hipo.20808 · Cited by 595

The developmental trajectories of executive function from adolescence to old age.

Ferguson, H. J., Brunsdon, V. E. A., & Bradford, E. E. F. (2021) · Scientific Reports · doi:10.1038/s41598-020-80866-1 · Cited by 583

Aging of cerebral white matter: a review of MRI findings

Gunning‐Dixon, F. M., Brickman, A. M., Cheng, J. C., & Alexopoulos, G. S. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2087 · Cited by 564

Differential Longitudinal Changes in Cortical Thickness, Surface Area and Volume across the Adult Life Span: Regions of Accelerating and Decelerating Change

Storsve, A. B., Fjell, A. M., Tamnes, C. K., Westlye, L. T., Overbye, K., Aasland, H. W., & Walhovd, K. B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0391-14.2014 · Cited by 542

Developmental cognitive neuroscience using latent change score models: A tutorial and applications

Kievit, R. A., Brandmaier, A. M., Ziegler, G., van Harmelen, A.-L., de Mooij, S. M. M., Moutoussis, M., Goodyer, I. M., Bullmore, E., Jones, P. B., Fonagy, P., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.007 · Cited by 516

Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies

Lorenzetti, V., Allen, N. B., Fornito, A., & Yücel, M. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.11.021 · Cited by 553

The influence of aerobic fitness on cerebral white matter integrity and cognitive function in older adults: Results of a one‐year exercise intervention

Voss, M. W., Heo, S., Prakash, R. S., Erickson, K. I., Alves, H., Chaddock, L., Szabo, A. N., Mailey, E. L., Wójcicki, T. R., White, S. M., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22119 · Cited by 553

White matter hyperintensities are a core feature of Alzheimer’s disease: evidence from the dominantly inherited Alzheimer network

Lee, S., Viqar, F., Zimmerman, M. E., Narkhede, A., Tosto, G., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Goate, A., Fox, N. C., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24647 · Cited by 542

Effect of aerobic exercise on hippocampal volume in humans: A systematic review and meta-analysis

Firth, J., Stubbs, B., Vancampfort, D., Schuch, F., Lagopoulos, J., Rosenbaum, S., & Ward, P. B. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.007 · Cited by 526

Physical activity predicts gray matter volume in late adulthood: The Cardiovascular Health Study

Erickson, K. I., Raji, C. A., Lopez, O. L., Becker, J. T., Rosano, C., Newman, A. B., Gach, H. M., Thompson, P. M., Ho, A. J., & Kuller, L. H. (2010) · Neurology · doi:10.1212/wnl.0b013e3181f88359 · Cited by 508

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

Aging white matter and cognition: Differential effects of regional variations in diffusion properties on memory, executive functions, and speed

Kennedy, K. M., & Raz, N. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.01.001 · Cited by 475

Structure–function correlates of cognitive decline in aging

Persson, J., Nyberg, L., Lind, J., Larsson, A., Nilsson, L.-G., Ingvar, M., & Buckner, R. L. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj036 · Cited by 473

Playing Super Mario induces structural brain plasticity: gray matter changes resulting from training with a commercial video game

Kühn, S., Gleich, T., Lorenz, R. C., Lindenberger, U., & Gallinat, J. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.120 · Cited by 441

Networks of anatomical covariance

Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429

Human cognitive aging: Corriger la fortune?

Lindenberger, U. (2014) · Science · doi:10.1126/science.1254403 · Cited by 414

Effects of Healthy Aging on Hippocampal and Rhinal Memory Functions: An Event-Related fMRI Study

Daselaar, S. M., Fleck, M. S., Dobbins, I. G., Madden, D. J., & Cabeza, R. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj112 · Cited by 392

Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging

Kalpouzos, G., Chételat, G., Baron, J.-C., Landeau, B., Mevel, K., Godeau, C., Barré, L., Constans, J.-M., Viader, F., Eustache, F., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.019 · Cited by 392

Episodic memory in normal aging and Alzheimer disease: Insights from imaging and behavioral studies

Tromp, D., Dufour, A., Lithfous, S., Pebayle, T., & Després, O. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.08.006 · Cited by 390

Developmental trajectories of amygdala and hippocampus from infancy to early adulthood in healthy individuals

Uematsu, A., Matsui, M., Tanaka, C., Takahashi, T., Noguchi, K., Suzuki, M., & Nishijo, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046970 · Cited by 378

Cognitive Reserve and the Prevention of Dementia: the Role of Physical and Cognitive Activities

Cheng, S.-T. (2016) · Current Psychiatry Reports · doi:10.1007/s11920-016-0721-2 · Cited by 385

Physical Activity and Cognitive Vitality

Prakash, R. S., Voss, M. W., Erickson, K. I., & Kramer, A. F. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015249 · Cited by 376

Learning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortex

Schlichting, M. L., Mumford, J. A., & Preston, A. R. (2015) · Nature Communications · doi:10.1038/ncomms9151 · Cited by 381

Working memory plasticity in old age: practice gain, transfer, and maintenance

Li, S.-C., Schmiedek, F., Huxhold, O., Röcke, C., Smith, J., & Lindenberger, U. (2008) · Psychology and Aging · doi:10.1037/a0014343 · Cited by 369

Functional and/or structural brain changes in response to resistance exercises and resistance training lead to cognitive improvements – a systematic review

Herold, F., Törpel, A., Schega, L., & Müller, N. G. (2019) · European Review of Aging and Physical Activity · doi:10.1186/s11556-019-0217-2 · Cited by 349

Forming beliefs: Why valence matters

Sharot, T., & Garrett, N. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.11.002 · Cited by 345

A common brain network links development, aging, and vulnerability to disease

Douaud, G., Groves, A. R., Tamnes, C. K., Westlye, L. T., Duff, E. P., Engvig, A., Walhovd, K. B., James, A., Gass, A., Monsch, A. U., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1410378111 · Cited by 317

Exercise effects on depression: Possible neural mechanisms

Gujral, S., Aizenstein, H., Reynolds, C. F., Butters, M. A., & Erickson, K. I. (2017) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2017.04.012 · Cited by 334

Brain morphology links systemic inflammation to cognitive function in midlife adults

Marsland, A. L., Gianaros, P. J., Kuan, D. C.-H., Sheu, L. K., Krajina, K., & Manuck, S. B. (2015) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2015.03.015 · Cited by 321

Prospective reports of chronic life stress predict decreased grey matter volume in the hippocampus

Gianaros, P. J., Jennings, J. R., Sheu, L. K., Greer, P. J., Kuller, L. H., & Matthews, K. A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.045 · Cited by 324

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

Fama, R., & Sullivan, E. V. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.03.008 · Cited by 323

Longitudinal evidence for diminished frontal cortex function in aging

Nyberg, L., Salami, A., Andersson, M., Eriksson, J., Kalpouzos, G., Kauppi, K., Lind, J., Pudas, S., Persson, J., & Nilsson, L.-G. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012651108 · Cited by 290

Parietal cortex matters in Alzheimer's disease: An overview of structural, functional and metabolic findings

Jacobs, H. I. L., Van Boxtel, M. P. J., Jolles, J., Verhey, F. R. J., & Uylings, H. B. M. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.06.009 · Cited by 293

Neuroimaging biomarkers for Alzheimer’s disease.

Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289

Cerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance

Madden, D. J., Spaniol, J., Costello, M. C., Bucur, B., White, L. E., Cabeza, R., Davis, S. W., Dennis, N. A., Provenzale, J. M., & Huettel, S. A. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21047 · Cited by 265

Peak individual alpha frequency qualifies as a stable neurophysiological trait marker in healthy younger and older adults

Grandy, T. H., Werkle‐Bergner, M., Chicherio, C., Schmiedek, F., Lövdén, M., & Lindenberger, U. (2013) · Psychophysiology · doi:10.1111/psyp.12043 · Cited by 276

Longitudinal association between hippocampus atrophy and episodic-memory decline

Gorbach, T., Pudas, S., Lundquist, A., Orädd, G., Josefsson, M., Salami, A., de Luna, X., & Nyberg, L. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.12.002 · Cited by 245

Variation in longitudinal trajectories of regional brain volumes of healthy men and women (ages 10 to 85years) measured with atlas-based parcellation of MRI

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

Neuroplasticity and cognitive aging: The scaffolding theory of aging and cognition

Goh, J. O., & Park, D. C. (2009) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-2009-0493 · Cited by 253

Sexually divergent induction of microglial-associated neuroinflammation with hippocampal aging

Mangold, C. A., Wronowski, B., Du, M., Masser, D. R., Hadad, N., Bixler, G. V., Brucklacher, R. M., Ford, M. M., Sonntag, W. E., & Freeman, W. M. (2017) · Journal of Neuroinflammation · doi:10.1186/s12974-017-0920-8 · Cited by 203

Aging, stress and the hippocampus

Miller, D. B., & O’Callaghan, J. P. (2005) · Ageing Research Reviews · doi:10.1016/j.arr.2005.03.002 · Cited by 206

Functional implications of hippocampal volume and diffusivity in mild cognitive impairment

Müller, M. J., Greverus, D., Dellani, P. R., Weibrich, C., Wille, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.029 · Cited by 210

Long-term effects of resistance exercise training on cognition and brain volume in older women: results from a randomized controlled trial

Best, J. R., Chiu, B. K., Liang Hsu, C., Nagamatsu, L. S., & Liu-Ambrose, T. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000673 · Cited by 201

Microglial activation and tau burden predict cognitive decline in Alzheimer’s disease

Malpetti, M., Kievit, R. A., Passamonti, L., Jones, P. S., Tsvetanov, K. A., Rittman, T., Mak, E., Nicastro, N., Bevan-Jones, W. R., Su, L., et al. (2020) · Brain · doi:10.1093/brain/awaa088 · Cited by 194

Opposing Brain Differences in 16p11.2 Deletion and Duplication Carriers

Qureshi, A. Y., Mueller, S., Snyder, A. Z., Mukherjee, P., Berman, J. I., Roberts, T. P. L., Nagarajan, S. S., Spiro, J. E., Chung, W. K., Sherr, E. H., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1366-14.2014 · Cited by 183

Brain training with non-action video games enhances aspects of cognition in older adults: a randomized controlled trial

Ballesteros, S., Prieto, A., Mayas, J., Toril, P., Pita, C., Ponce de León, L., Reales, J. M., & Waterworth, J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00277 · Cited by 189

Longitudinal Structure-Function Correlates in Elderly Reveal MTL Dysfunction with Cognitive Decline

Persson, J., Pudas, S., Lind, J., Kauppi, K., Nilsson, L.-G., & Nyberg, L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr306 · Cited by 173

Cognitive plasticity in adulthood and old age: Gauging the generality of cognitive intervention effects

Noack, H., Lövdén, M., Schmiedek, F., & Lindenberger, U. (2009) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-2009-0496 · Cited by 180

Relating imaging indices of white matter integrity and volume in healthy older adults

Hugenschmidt, C. E., Peiffer, A. M., Kraft, R. A., Casanova, R., Deibler, A. R., Burdette, J. H., Maldjian, J. A., & Laurienti, P. J. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm080 · Cited by 166

Changes in Cortical Plasticity Across the Lifespan

Freitas, C., Perez, J., Knobel, M., Tormos, J. M., Oberman, L., Eldaief, M., Bashir, S., Vernet, M., Peña-Gómez, C., & Pascual-Leone, A. (2011) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2011.00005 · Cited by 172

Trajectory of risky decision making for potential gains and losses from ages 5 to 85

Weller, J. A., Levin, I. P., & Denburg, N. L. (2011) · Journal of Behavioral Decision Making · doi:10.1002/bdm.690 · Cited by 174

Hippocampal Structure Predicts Statistical Learning and Associative Inference Abilities during Development

Schlichting, M. L., Guarino, K. F., Schapiro, A. C., Turk-Browne, N. B., & Preston, A. R. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01028 · Cited by 173

False memories with age: neural and cognitive underpinnings

Devitt, A. L., & Schacter, D. L. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.08.030 · Cited by 171

Hippocampal volume is as variable in young as in older adults: implications for the notion of hippocampal atrophy in humans

Lupien, S. J., Evans, A., Lord, C., Miles, J., Pruessner, M., Pike, B., & Pruessner, J. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.041 · Cited by 167

Regional white matter and neuropsychological functioning across the adult lifespan.

Brickman, A. M., Zimmerman, M. E., Paul, R. H., Grieve, S. M., Tate, D. F., Cohen, R. A., Williams, L. M., Clark, C. R., & Gordon, E. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.01.011 · Cited by 166

Revenge of the “sit” II: does lifestyle impact neuronal and cognitive health through distinct mechanisms associated with sedentary behavior and physical activity?

Voss, M. W., Carr, L. J., Clark, R., & Weng, T. (2014) · Mental health and physical activity · doi:10.1016/j.mhpa.2014.01.001 · Cited by 164

Slowing down: age-related neurobiological predictors of processing speed

Eckert, M. A. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00025 · Cited by 162

White matter integrity in physically fit older adults.

Tseng, B. Y., Gundapuneedi, T., Khan, M. A., Diaz-Arrastia, R., Levine, B. D., Lu, H., Huang, H., & Zhang, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.011 · Cited by 157

The role of the hippocampus in memory and mental construction

Sheldon, S., & Levine, B. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13006 · Cited by 155

A review of cardiorespiratory fitness-related neuroplasticity in the aging brain

Hayes, S. M., Hayes, J. P., Cadden, M., & Verfaellie, M. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00031 · Cited by 154

Age-related differences in brain activity during true and false memory retrieval

Dennis, N. A., Kim, H., & Cabeza, R. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20096 · Cited by 152

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

The brain matures with stronger functional connectivity and decreased randomness of its network

Smit, D. J. A., Boersma, M., Schnack, H. G., Micheloyannis, S., Boomsma, D. I., Hulshoff Pol, H. E., Stam, C. J., & de Geus, E. J. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036896 · Cited by 143

Brain training in progress: a review of trainability in healthy seniors

Buitenweg, J. I. V., Murre, J. M. J., & Ridderinkhof, K. R. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00183 · Cited by 132

Two thirds of the age-based changes in fluid and crystallized intelligence, perceptual speed, and memory in adulthood are shared

Ghisletta, P., Rabbitt, P., Lunn, M., & Lindenberger, U. (2012) · Intelligence · doi:10.1016/j.intell.2012.02.008 · Cited by 115

Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults

Baniqued, P. L., Gallen, C. L., Voss, M. W., Burzynska, A. Z., Wong, C. N., Cooke, G. E., Duffy, K., Fanning, J., Ehlers, D. K., Salerno, E. A., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00426 · Cited by 112

DNA damage in the oligodendrocyte lineage and its role in brain aging

Tse, K.-H., & Herrup, K. (2017) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.05.006 · Cited by 108

Cardiorespiratory fitness, hippocampal volume, and frequency of forgetting in older adults.

Szabo, A. N., McAuley, E., Erickson, K. I., Voss, M., Prakash, R. S., Mailey, E. L., Wójcicki, T. R., White, S. M., Gothe, N., Olson, E. A., et al. (2011) · Neuropsychology · doi:10.1037/a0022733 · Cited by 110

Structural brain correlates of loneliness among older adults

Düzel, S., Drewelies, J., Gerstorf, D., Demuth, I., Steinhagen-Thiessen, E., Lindenberger, U., & Kühn, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-49888-2 · Cited by 111

Developmental Trajectories of the Fronto-Temporal Lobes from Infancy to Early Adulthood in Healthy Individuals

Tanaka, C., Matsui, M., Uematsu, A., Noguchi, K., & Miyawaki, T. (2012) · Developmental Neuroscience · doi:10.1159/000345152 · Cited by 101

Episodic and semantic content of memory and imagination: a multilevel analysis

Devitt, A. L., Addis, D. R., & Schacter, D. L. (2017) · Memory & Cognition · doi:10.3758/s13421-017-0716-1 · Cited by 91

Changes in fitness are associated with changes in hippocampal microstructure and hippocampal volume among older adults.

Kleemeyer, M. M., Kühn, S., Prindle, J., Bodammer, N. C., Brechtel, L., Garthe, A., Kempermann, G., Schaefer, S., & Lindenberger, U. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.026 · Cited by 98

Telomerase and telomeres in aging theory and chronographic aging theory (Review)

Razgonova, M., Zakharenko, A., Golokhvast, K., Thanasoula, M., Sarandi, E., Nikolouzakis, K., Fragkiadaki, P., Tsoukalas, D., Spandidos, D., & Tsatsakis, A. (2020) · Molecular Medicine Reports · doi:10.3892/mmr.2020.11274 · Cited by 89

At least eighty percent of brain grey matter is modifiable by physical activity: A review study

Batouli, S. A. H., & Saba, V. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.06.002 · Cited by 92

A core transcriptional signature of human microglia: derivation and utility in describing region-dependent alterations associated with Alzheimer’s disease

Patir, A., Shih, B., McColl, B. W., & Freeman, T. C. (2019) · Glia · doi:10.1002/glia.23572 · Cited by 90

exercise influence on hippocampal function: possible involvement of orexin-A

Chieffi, S., Messina, G., Villano, I., Messina, A., Esposito, M., Monda, V., Valenzano, A., Moscatelli, F., Esposito, T., Carotenuto, M., et al. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00085 · Cited by 90

Alzheimer's Disease: The Downside of a Highly Evolved Parietal Lobe?

Bruner, E., & Jacobs, H. I. L. (2013) · Journal of Alzheimer's Disease · doi:10.3233/jad-122299 · Cited by 87

Age-related deficits in fronto-temporal connections in schizophrenia: A diffusion tensor imaging study

ROSENBERGER, G., KUBICKI, M., NESTOR, P., CONNOR, E., BUSHELL, G., MARKANT, D., NIZNIKIEWICZ, M., WESTIN, C., KIKINIS, R., & JSAYKIN, A. (2008) · Schizophrenia Research · doi:10.1016/j.schres.2008.04.019 · Cited by 89

“Older Adults with ASD: The Consequences of Aging.” Insights from a series of special interest group meetings held at the International Society for Autism Research 2016–2017

Roestorf, A., Bowler, D. M., Deserno, M. K., Howlin, P., Klinger, L., McConachie, H., Parr, J. R., Powell, P., Van Heijst, B. F. C., & Geurts, H. M. (2019) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2018.08.007 · Cited by 87

Oxytocin and socioemotional aging: current knowledge and future trends

Ebner, N. C., Maura, G. M., MacDonald, K., Westberg, L., & Fischer, H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00487 · Cited by 78

The impact of age-related changes on working memory functional activity

Steffener, J., Brickman, A. M., Rakitin, B. C., Gazes, Y., & Stern, Y. (2009) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9056-x · Cited by 75

Cardiorespiratory fitness is associated with white matter integrity in aging

Hayes, S. M., Salat, D. H., Forman, D. E., Sperling, R. A., & Verfaellie, M. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.204 · Cited by 75

Comparative study of MRI and histology on hippocampus and entorhinal cortex in normal elderly and preelderly people

Feng, J. (1999)

Multiple Determinants of Whole and Regional Brain Volume among Terrestrial Carnivorans

Swanson, E. M., Holekamp, K. E., Lundrigan, B. L., Arsznov, B. M., & Sakai, S. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038447 · Cited by 68

Neurocalcin-immunoreactive cells in the rat hippocampus are GABAergic interneurons

Martinez-Guijarro, F. J., Briñón, J. G., Blasco-Ib��ez, J. M., Okazaki, K., Hidaka, H., & Alonso, J. R. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1998)8:1 · Cited by 11

The temporal and spatial development of CRF binding sites in the postnatal mouse cerebellum

Madtes, P. C., & King, J. S. (1999) · Neuroscience Research · doi:10.1016/s0168-0102(99)00028-0 · Cited by 15

MRI measures of entorhinal cortex vs hippocampus in preclinical AD

Killiany, R., Hyman, B. T., Gómez‐Isla, T., Moss, M. B., Kikinis, R., Jolesz, F. A., Tanzi, R. E., Jones, K., & Albert, M. (2002) · Neurology · doi:10.1212/wnl.58.8.1188 · Cited by 571