[en] The cognitive reserve (CR) hypothesis posits that individuals can differ in how their brain function is disrupted by pathology associated with aging and neurodegeneration. Here, we test this hypothesis in the continuum from cognitively normal to at-risk stages for Alzheimer's Disease (AD) to AD dementia using longitudinal data from 490 participants of the DELCODE multicentric observational study. Brain function is measured using task fMRI of visual memory encoding. Using a multivariate moderation analysis, we identify a CR-related activity pattern underlying successful memory encoding that moderates the detrimental effect of AD pathological load on cognitive performance. CR is mainly represented by a more pronounced expression of the task-active network encompassing deactivation of the default mode network (DMN) and activation of inferior temporal regions including the fusiform gyrus. We devise personalized fMRI-based CR scores that moderate the impact of AD pathology on cognitive performance and are positively associated with years of education. Furthermore, higher CR scores attenuate the effect of AD pathology on cognitive decline over time. Our findings primarily provide evidence for the maintenance of core cognitive circuits including the DMN as the neural basis of CR. Individual brain activity levels of these areas during memory encoding have prognostic value for future cognitive decline.
Disciplines :
Neurology
Author, co-author :
Vockert, Niklas ; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany. Niklas.Vockert@dzne.de
Machts, Judith; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Kleineidam, Luca ; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Diseases and Geriatric Psychiatry, Bonn, Germany
Nemali, Aditya; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Incesoy, Enise I ; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany ; Department for Psychiatry and Psychotherapy, University Clinic Magdeburg, Magdeburg, Germany
Bernal, Jose; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Schütze, Hartmut ; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Yakupov, Renat ; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Peters, Oliver; German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Institute of Psychiatry and Psychotherapy, Berlin, Germany
Gref, Daria ; Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Institute of Psychiatry and Psychotherapy, Berlin, Germany
Schneider, Luisa Sophie ; Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany
Preis, Lukas; Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Institute of Psychiatry and Psychotherapy, Berlin, Germany
Priller, Josef ; German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Department of Psychiatry and Psychotherapy, Charité Berlin, Germany ; School of Medicine, Technical University of Munich, Department of Psychiatry and Psychotherapy, Munich, Germany ; University of Edinburgh and UK DRI, Edinburgh, UK
Spruth, Eike Jakob; German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Department of Psychiatry and Psychotherapy, Charité Berlin, Germany
Altenstein, Slawek; German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Department of Psychiatry and Psychotherapy, Charité Berlin, Germany
Schneider, Anja ; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Diseases and Geriatric Psychiatry, Bonn, Germany
Fliessbach, Klaus; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Diseases and Geriatric Psychiatry, Bonn, Germany
Wiltfang, Jens ; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany ; Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany ; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
Rostamzadeh, Ayda; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Glanz, Wenzel; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
Teipel, Stefan; German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany ; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
Kilimann, Ingo; German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany ; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
Goerss, Doreen; German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany ; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
Laske, Christoph; German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany ; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
Munk, Matthias H; German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany ; Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
Spottke, Annika; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; Department of Neurology, University of Bonn, Bonn, Germany
Roy, Nina; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
HENEKA, Michael ; University of Luxembourg ; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Brosseron, Frederic ; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Wagner, Michael ; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Diseases and Geriatric Psychiatry, Bonn, Germany
Wolfsgruber, Steffen; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Diseases and Geriatric Psychiatry, Bonn, Germany
Dobisch, Laura; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
Dechent, Peter; MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Goettingen, Goettingen, Germany
Hetzer, Stefan; Berlin Center for Advanced Neuroimaging, Charité - Universitaetsmedizin Berlin, Berlin, Germany
Scheffler, Klaus; Department for Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany
Zeidman, Peter ; Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
Stern, Yaakov; Cognitive Neuroscience Division, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
Schott, Björn H ; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany ; Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany ; Leibniz Institute for Neurobiology, Magdeburg, Germany
Jessen, Frank; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; Department of Psychiatry, University of Cologne, Koeln, Germany ; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Koeln, Germany
Düzel, Emrah; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Maass, Anne ; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany. Anne.Maass@dzne.de
Ziegler, Gabriel ; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany. Gabriel.Ziegler@dzne.de ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany. Gabriel.Ziegler@dzne.de
We thank the members of the DELCODE group in Magdeburg for providing helpful feedback and suggestions with respect to the conducted analyses. The study was funded by the German Center for Neurodegenerative Diseases (Deutsches Zentrum f\u00FCr Neurodegenerative Erkrankungen (DZNE)), reference number BN012. This work was supported by the UK Medical Research Council (grant number: MR/X020274/1 to P.Z.), the National Institute on Aging (R24 AG061421 to Y.S. and G.Z.), the federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF) in the Center for Behavioral Brain Sciences (CBBS, ZS/2016/04/78113 to J.M.) and the German Research Foundation (DFG, Project-ID 425899996 to E.D., A.M. and G.Z.).
C.R. Jack et al. NIA-AA research framework: toward a biological definition of Alzheimer’s disease Alzheimers Dement. 2018 14 535 562 29653606
R. Katzman et al. Clinical, pathological, and neurochemical changes in dementia: a subgroup with preserved mental status and numerous neocortical plaques Ann. Neurol. 1988 23 138 144 1:STN:280:DyaL1c3jvFCksQ%3D%3D 2897823
Y. Stern et al. Whitepaper: defining and investigating cognitive reserve, brain reserve, and brain maintenance Alzheimers Dement. 2020 16 1305 1311 30222945
Stern, Y. et al. A framework for concepts of reserve and resilience in aging. Neurobiol. Aging124, 100–103 (2023).
E.M. Arenaza-Urquijo et al. Relationships between years of education and gray matter volume, metabolism and functional connectivity in healthy elders Neuroimage 2013 83 450 457 23796547
M.W. Cole T. Yarkoni G. Repovš A. Anticevic T.S. Braver Global connectivity of prefrontal cortex predicts cognitive control and intelligence J. Neurosci. 2012 32 8988 8999 1:CAS:528:DC%2BC38XpvFOntrk%3D 22745498 3392686
N. Franzmeier M. Duering M. Weiner M. Dichgans M. Ewers Left frontal cortex connectivity underlies cognitive reserve in prodromal Alzheimer disease Neurology 2017 88 1054 1061 1:CAS:528:DC%2BC2sXktV2qsbg%3D 28188306 5384837
N. Franzmeier et al. Resting-state global functional connectivity as a biomarker of cognitive reserve in mild cognitive impairment Brain Imaging Behav. 2017 11 368 382 1:STN:280:DC%2BC2svntVGguw%3D%3D 27709513
Y. Stern E. Varangis C. Habeck A framework for identification of a resting-bold connectome associated with cognitive reserve Neuroimage 2021 232 117875 33639257
van Loenhoud, A. C., Habeck, C., van der Flier, W. M., Ossenkoppele, R. & Stern, Y. Identifying a task-invariant cognitive reserve network using task potency. Neuroimage210, 116593 (2020).
C. Habeck et al. The reference ability neural network study: life-time stability of reference-ability neural networks derived from task maps of young adults Neuroimage 2016 125 693 704 1:STN:280:DC%2BC28znsVCnug%3D%3D 26522424
C. Habeck T. Eich R. Razlighi Y. Gazes Y. Stern Reference ability neural networks and behavioral performance across the adult life span Neuroimage 2018 172 51 63 29355766
Y. Stern Y. Gazes Q. Razlighi J. Steffener C. Habeck A task-invariant cognitive reserve network Neuroimage 2018 178 36 45 29772378
Y. Stern et al. The reference ability neural network study: motivation, design, and initial feasibility analyses Neuroimage 2014 103 139 151 25245813
Y. Stern et al. A common neural network for cognitive reserve in verbal and object working memory in young but not old Cereb. Cortex 2008 18 959 967 17675368
B. Bosch et al. Cognitive reserve modulates task-induced activations and deactivations in healthy elders, amnestic mild cognitive impairment and mild Alzheimer’s disease Cortex 2010 46 451 461 19560134
Y. Stern Brain networks associated with cognitive reserve in healthy young and old adults Cereb. Cortex 2005 15 394 402 15749983
R.G. Morris M.D. Kopelman The memory deficits in Alzheimer-type dementia: a review Q. J. Exp. Psychol. A 1986 38 575 602 1:STN:280:DyaL2s7hvFWjsg%3D%3D 3544082
R.C. Petersen G.E. Smith R.J. Ivnik E. Kokmen E.G. Tangalos Memory function in very early Alzheimer’s disease Neurology 1994 44 867 867 1:STN:280:DyaK2c3kslKmuw%3D%3D 8190289
W.J. Henneman et al. Hippocampal atrophy rates in Alzheimer disease Neurology 2009 72 999 1007 1:STN:280:DC%2BD1M3ht1agug%3D%3D 19289740 2821835
G.B. Frisoni N.C. Fox C.R. Jack P. Scheltens P.M. Thompson The clinical use of structural MRI in Alzheimer disease Nat. Rev. Neurol. 2010 6 67 77 20139996 2938772
Small, S. A., Schobel, S. A., Buxton, R. B., Witter, M. P. & Barnes, C. A. A pathophysiological framework of hippocampal dysfunction in ageing and disease. Nat. Rev. Neurosci. 12, 585–601 (2011).
Soch, J. et al. Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults. Neuroimage230, 117820 (2021).
H. Kim Neural activity that predicts subsequent memory and forgetting: a meta-analysis of 74 fMRI studies Neuroimage 2011 54 2446 2461 20869446
J. Soch et al. A comprehensive score reflecting memory–related fMRI activations and deactivations as potential biomarker for neurocognitive aging Hum. Brain Mapp. 2021 42 4478 4496 34132437 8410542
J.R. Andrews-Hanna J. Smallwood R.N. Spreng The default network and self-generated thought: component processes, dynamic control, and clinical relevance Ann. N. Y. Acad. Sci. 2014 1316 29 52 2014NYASA1316..29A 24502540 4039623
D. Maillet M.N. Rajah Age-related differences in brain activity in the subsequent memory paradigm: a meta-analysis Neurosci. Biobehav. Rev. 2014 45 246 257 24973756
A. Richter et al. Single-value scores of memory-related brain activity reflect dissociable neuropsychological and anatomical signatures of neurocognitive aging Hum. Brain Mapp. 2023 44 3283 3301 36972323 10171506
Soch, J. et al. Single-value brain activity scores reflect both severity and risk across the Alzheimer’s continuum. Brainhttps://doi.org/10.1093/brain/awae149 (2024).
R.A. Sperling et al. Amyloid deposition is associated with impaired default network function in older persons without dementia Neuron 2009 63 178 188 1:CAS:528:DC%2BD1MXhsVCiurjM 19640477 2738994
R.L. Buckner et al. Molecular, structural, and functional characterization of Alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory J. Neurosci. 2005 25 7709 7717 1:CAS:528:DC%2BD2MXpvVKgurg%3D 16120771 6725245
R.S. Frackowiak et al. Regional cerebral oxygen supply and utilization in dementia. A clinical and physiological study with oxygen-15 and positron tomography Brain 1981 104 753 778 1:STN:280:DyaL387hsVGitA%3D%3D 6976816
D.H. Silverman et al. Positron emission tomography in evaluation of dementia: regional brain metabolism and long-term outcome JAMA 2001 286 2120 2127 1:STN:280:DC%2BD3MnmvFCrsA%3D%3D 11694153
J.M. Kizilirmak et al. The relationship between resting-state amplitude fluctuations and memory-related deactivations of the default mode network in young and older adults Hum. Brain Mapp. 2023 44 3586 3609 37051727 10203811
J.C. Delpech et al. Wolframin-1-expressing neurons in the entorhinal cortex propagate tau to CA1 neurons and impair hippocampal memory in mice Sci. Transl. Med. 2021 13 8455
S. Chen et al. Wolframin is a novel regulator of tau pathology and neurodegeneration Acta Neuropathol. 2022 143 547 569 1:CAS:528:DC%2BB38XhtVWrs7%2FN 35389045
F. Brosseron et al. Soluble TAM receptors sAXL and sTyro3 predict structural and functional protection in Alzheimer’s disease Neuron 2022 110 1009–1022.e4 34995486
J. Bernal et al. Arterial hypertension and β-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study Alzheimers Res. Ther. 2023 15 1 13
Hayek, D. et al. Different inflammatory signatures based on CSF biomarkers relate to preserved or diminished brain structure and cognition. Mol. Psychiatry29, 992–1004 (2024).
M. Dörner et al. Inferior frontal sulcal hyperintensities on brain MRI are associated with amyloid positivity beyond age—results from the multicentre observational DELCODE study Diagnostics 2024 14 940 38732354 11083612
H. Oh et al. Aβ-related hyperactivation in frontoparietal control regions in cognitively normal elderly Neurobiol. Aging 2015 36 3247 3254 1:CAS:528:DC%2BC2MXhsV2gurbE 26382734 4788982
Gordon, B. A. et al. Task-evoked fMRI changes in attention networks are associated with preclinical Alzheimer’s disease biomarkers. Neurobiol. Aging. 36, 1771–1779 (2015).
D. Berron et al. Higher CSF tau levels are related to hippocampal hyperactivity and object mnemonic discrimination in older adults J. Neurosci. 2019 39 8788 8797 31541019 6820211
Leal, S. L., Landau, S. M., Bell, R. K. & Jagust, W. J. Hippocampal activation is associated with longitudinal amyloid accumulation and cognitive decline. eLife6, e22978 (2017).
J.N. Adams T.M. Harrison A. Maass S.L. Baker W.J. Jagust Distinct factors drive the spatiotemporal progression of tau pathology in older adults J. Neurosci. 2022 42 1352 1361 1:CAS:528:DC%2BB38Xmtl2js7c%3D 34965972 8883857
A. Maass et al. Alzheimer’s pathology targets distinct memory networks in the ageing brain Brain 2019 142 2492 2509 31199481 6658874
X.W. Huijbers et al. Tau accumulation in clinically normal older adults is associated with hippocampal hyperactivity J. Neurosci. 2019 39 548 556 1:CAS:528:DC%2BC1MXltFahtLs%3D 30482786 6335746
J.A. Elman et al. Neural compensation in older people with brain amyloid-β deposition Nat. Neurosci. 2014 17 1316 1318 1:CAS:528:DC%2BC2cXhsFOlt7fE 25217827 4177011
Schott, B. H. et al. Inhibitory temporo-parietal effective connectivity is associated with explicit memory performance in older adults. iScience26, 107765 (2023).
E.M. Arenaza-Urquijo et al. The metabolic brain signature of cognitive resilience in the 80+: beyond Alzheimer pathologies Brain 2019 142 1134 1147 30851100 6439329
Haghverdi, L., Büttner, M., Wolf, F. A., Büttner, F. & Theis, F. J. Diffusion pseudotime robustly reconstruct lineage branching. Nat. Methods 13, 845–848 (2016).
Van Der Maaten, L. J. P., Postma, E. O. & Van Den Herik, H. J. Dimensionality Reduction: A Comparative Review. J. Mach. Learn. Res. 10, 66–71 (2009).
W. Saelens R. Cannoodt H. Todorov Y. Saeys A comparison of single-cell trajectory inference methods Nat. Biotechnol. 2019 37 547 554 1:CAS:528:DC%2BC1MXosV2qsrk%3D 30936559
E. Düzel H. Schütze A.P. Yonelinas H.-J. Heinze Functional phenotyping of successful aging in long-term memory: preserved performance in the absence of neural compensation Hippocampus 2010 21 803–814 20665594
Murphy, K. P. Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning Series) (MIT Press, 2018).
B.M. Bettcher et al. Dynamic change of cognitive reserve: associations with changes in brain, cognition, and diagnosis Neurobiol. Aging 2019 83 95 104 31585371 6977973
M.E. Lenehan et al. Sending your grandparents to university increases cognitive reserve: the Tasmanian Healthy Brain Project Neuropsychology 2016 30 525 531 26569028
O.V. Billette et al. Novelty-related fMRI responses of precuneus and medial temporal regions in individuals at risk for Alzheimer disease Neurology 2022 99 E775 E788 1:CAS:528:DC%2BB38XitFOqt7vO 35995589 9484732
Jessen, F. et al. Design and first baseline data of the DZNE multicenter observational study on predementia Alzheimer’s disease (DELCODE). Alzheimers Res. Ther. 10, 15 (2018).
F. Jessen et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease Alzheimers Dement. 2014 10 844 852 24798886
G.M. McKhann et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease Alzheimers Dement. 2011 7 263 269 21514250
K.V. Papp D.M. Rentz I. Orlovsky R.A. Sperling E.C. Mormino Optimizing the preclinical Alzheimer’s cognitive composite with semantic processing: the PACC5 Alzheimers Dement. 2017 3 668 677
S. Wolfsgruber et al. Minor neuropsychological deficits in patients with subjective cognitive decline Neurology 2020 95 e1134 e1143 1:CAS:528:DC%2BB3cXhslKhs7bM 32636322
E. Düzel et al. CSF total tau levels are associated with hippocampal novelty irrespective of hippocampal volume Alzheimers Dement. 2018 10 782 790
J.E. Iglesias et al. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI Neuroimage 2015 115 117 137 25936807
Gaser, C. & Dahnke, R. CAT: a computational anatomy toolbox for the analysis of structural MRI data. Gigascience 13, giae049 (2024).
Y. Behzadi K. Restom J. Liau T.T. Liu A component based noise correction method (CompCor) for BOLD and perfusion based fMRI Neuroimage 2007 37 90 101 17560126
J.D. Power K.A. Barnes A.Z. Snyder B.L. Schlaggar S.E. Petersen Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion Neuroimage 2012 59 2142 2154 22019881
C.R. Jack et al. A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers Neurology 2016 87 539 547 1:CAS:528:DC%2BC28Xht12jtrrK 27371494 4970664
Van Der Maaten, L. & Hinton, G. Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579–2605 (2008).
Shmueli, G. To explain or to predict? Stat. Sci. 25, 289–310 (2010).
G. Ziegler R. Dahnke C. Gaser Models of the aging brain structure and individual decline Front. Neuroinform. 2012 6 3 22435060 3303090
O.Y. Chén et al. High-dimensional multivariate mediation with application to neuroimaging data Biostatistics 2018 19 121 136 3799607 28637279
Vockert, N. Cognitive reserve against Alzheimer’s pathology is linked to brain activity during memory formation. Zenodo https://doi.org/10.5281/zenodo.12820807 (2024).
Vockert, N. Cognitive reserve against Alzheimer’s pathology is linked to brain activity during memory formation. GitHub https://github.com/znerp/NI_moderation_mv (2024).
N. Tzourio-Mazoyer et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain Neuroimage 2002 15 273 289 1:STN:280:DC%2BD38%2FltFCntw%3D%3D 11771995