The Default Mode Network Supports Episodic Memory in Cognitively Unimpaired Elderly Individuals: Different Contributions to Immediate Recall and Delayed Recall.
paper
Cited
Public
- Authors
- Huo, Lijuan; Li, Rui; Wang, Pengyun; Zheng, Zhiwei; Li, Juan
- Year
- 2018
- Journal
- Frontiers in aging neuroscience
- PMID
- 29416508
- DOI
- 10.3389/fnagi.2018.00006
- PMCID
- PMC5787535
While the neural correlates of age-related decline in episodic memory have been the subject of much interest, the spontaneous functional architecture of the brain for various memory processes in elderly adults, such as immediate recall (IR) and delayed recall (DR), remains unclear. The present study thus examined the neural correlates of age-related decline of various memory processes. A total of 66 cognitively normal older adults (aged 60-80 years) participated in this study. Memory processes were measured using the Auditory Verbal Learning Test as well as resting-state brain images, which were analyzed using both regional homogeneity (ReHo) and correlation-based functional connectivity (FC) approaches. We found that both IR and DR were significantly correlated with the ReHo of these critical regions, all within the default mode network (DMN), including the parahippocampal gyrus, posterior cingulate cortex/precuneus, inferior parietal lobule, and medial prefrontal cortex. In addition, DR was also related to the FC between these DMN regions. These results suggest that the DMN plays different roles in memory retrieval across different retention intervals, and connections between the DMN regions contribute to memory consolidation of past events in healthy older people.
Correlations between episodic memory performance and regional homogeneity values. Statistical maps for the correlation between the total scores of Auditory Verbal Learning Test and regional homogeneity in critical regions of the default mode network (DMN), including the (A) bilateral medial prefrontal cortex, (B) right parahippocampal gyrus, (C) left posterior cingulate cortex/precuneus, and (D) right inferior parietal lobule (AlphaSim corrected cluster of p < 0.01). Negative (blue) and positive (red) correlation values are indicated by the bars on the right.
Correlations between regional homogeneity values and immediate recall (IR)/delayed recall (DR) scores. Both IR and DR scores were significantly correlated within most of the DMN regions, p < 0.05. Scatter plots display the relationship between regional homogeneity of the critical regions in the DMN, including the (A) bilateral medial prefrontal cortex, (B) right parahippocampal gyrus, (C) left posterior cingulate cortex/precuneus, and (D) right inferior parietal lobule and IR/DR scores, with age, gender, and education as covariates. Each dot represents data from one participant.
Correlations between functional connectivity values and immediate recall (IR)/delayed recall (DR) scores. DR scores were significantly correlated with functional connectivity within key regions of the DMN, while IR scores showed no correlation within these regions, p < 0.05. Scatter plots display the relationship between functional connectivity within the DMN, including functional connectivity of the (A) bilateral medial prefrontal cortex and right parahippocampal gyrus, (B) right parahippocampal gyrus and left posterior cingulate cortex/precuneus, (C) right parahippocampal gyrus and right inferior parietal lobule, (D) bilateral medial prefrontal cortex and left posterior cingulate cortex/precuneus, (E) bilateral medial prefrontal cortex and right inferior parietal lobule, and (F) right inferior parietal lobule and left posterior cingulate cortex/precuneus and IR/DR scores, with age, gender, and education as covariates. Each dot represents data from one participant.
1–20 of 39
Next →
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AlbertN. B.RobertsonE. M.MehtaP.MiallR. C. (2009). Resting state networks and memory consolidation. Commun. Integr. Biol. 2 530–532. 10.4161/cib.2.6.961220195459PMC2829828 | — | — | — |
| Andrews-HannaJ. R.ReidlerJ. S.SepulcreJ.PoulinR.BucknerR. L. (2010). Functional-anatomic fractionation of the brain’s default network. Neuron 65 550–562. 10.1016/j.neuron.2010.02.005 20188659PMC2848443 | — | — | — |
| ArnaizE.AlmkvistO. (2003). Neuropsychological features of mild cognitive impairment and preclinical Alzheimer’s disease. Acta Neurol. Scand. 107 34–41. 10.1034/j.1600-0404.107.s179.7.x12603249 | — | — | — |
| BadoP.EngelA.Oliveira-SouzaR.BramatiI. E.PaivaF. F.BasilioR. (2014). Functional dissociation of ventral frontal and dorsomedial default mode network components during resting state and emotional autobiographical recall. Hum. Brain Mapp. 35 3302–3313. 10.1002/hbm.22403 25050426PMC4216410 | — | — | — |
| BinderJ. R.FrostJ. A.HammekeT. A.BellgowanP. S.SpringerJ. A.KaufmanJ. N. (2000). Human temporal lobe activation by speech and nonspeech sounds. Cereb. Cortex 10 512–528. 10.1093/cercor/10.5.51210847601 | — | — | — |
| BinnewijzendM. A.SchoonheimM. M.Sanz-ArigitaE.WinkA. M.van der FlierW. M.TolboomN. (2012). Resting-state fMRI changes in Alzheimer’s disease and mild cognitive impairment. Neurobiol. Aging 33 2018–2028. 10.1016/j.neurobiolaging.2011.07.003 21862179 | — | — | — |
| BleeckerM. L.FordD. P.LindgrenK. N.HoeseV. M.WalshK. S.VaughanC. G. (2005). Differential effects of lead exposure on components of verbal memory. Occup. Environ. Med. 62 181–187. 10.1136/oem.2003.011346 15723883PMC1740967 | — | — | — |
| BoschO. G.WagnerM.JessenF.KühnK. U.JoeA.SeifritzE. (2013). Verbal memory deficits are correlated with prefrontal hypometabolism in 18FDG PET of recreational MDMA users. PLOS ONE 8:e61234. 10.1371/journal.pone.0061234 23585882PMC3621736 | — | — | — |
| BrugnoloA.MorbelliS.ArnaldiD.De CarliF.AccardoJ.BossertI. (2014). Metabolic correlates of Rey auditory verbal learning test in elderly subjects with memory complaints. J. Alzheimers Dis. 39 103–113. 10.3233/JAD-121684 24150105 | — | — | — |
| BucknerR. L.Andrews-HannaJ. R.SchacterD. L. (2008). The brain’s default network: anatomy, function, and relevance to disease. Ann. N. Y. Acad. Sci. 1124 1–38. 10.1196/annals.1440.011 18400922 | — | — | — |
| ChristopherG. S.JeffreyL. G.ChadwickP. W.PrashanthiV.MatthewL. S.HeatherJ. W. (2017). “The mayo clinic adult lifespan template (MCALT): better quantification across the lifespan,” in Proceedings of the Alzheimer’s Association International Conference, (Rochester, NY). | — | — | — |
| ColeM. W.ItoT.BassettD. S.SchultzD. H. (2016). Activity flow over resting-state networks shapes cognitive task activations. Nat. Neurosci. 19 1718–1726. 10.1038/nn.4406 27723746PMC5127712 | — | — | — |
| DamoiseauxJ. S.PraterK. E.MillerB. L.GreiciusM. D. (2012). Functional connectivity tracks clinical deterioration in Alzheimer’s disease. Neurobiol. Aging 33:828.e19–828.e30. 10.1016/j.neurobiolaging.2011.06.024 21840627PMC3218226 | — | — | — |
| Dehaene-LambertzG.PallierC.SerniclaesW.Sprenger-CharollesL.JobertA.DehaeneS. (2005). Neural correlates of switching from auditory to speech perception. Neuroimage 24 21–33. 10.1016/j.neuroimage.2004.09.039 15588593 | — | — | — |
| DickersonB. C.SperlingR. A. (2009). Large-scale functional brain network abnormalities in Alzheimer’s disease: insights from functional neuroimaging. Behav. Neurol. 21 63–75. 10.1155/2009/61039219847046PMC2872923 | — | — | — |
| DiedenhofenB.MuschJ. (2015). cocor: a comprehensive solution for the statistical comparison of correlations. PLOS ONE 10:e0121945. 10.1371/journal.pone.0121945 25835001PMC4383486 | — | — | — |
| FosterD. J.WilsonM. A. (2006). Reverse replay of behavioural sequences in hippocampal place cells during the awake state. Nature 440 680–683. 10.1038/nature04587 16474382 | — | — | — |
| FoxM. D.RaichleM. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 8 700–711. 10.1038/nrn2201 17704812 | — | — | — |
| GottwaldB.WildeB.MihajlovicZ.MehdornH. M. (2004). Evidence for distinct cognitive deficits after focal cerebellar lesions. J. Neurol. Neurosurg. Psychiatry 75 1524–1531. 10.1136/jnnp.2003.018093 15489381PMC1738803 | — | — | — |
| GreiciusM. D.SrivastavaG.ReissA. L.MenonV. (2004). Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI. Proc. Natl. Acad. Sci. U.S.A. 101 4637–4642. 10.1073/pnas.0308627101 15070770PMC384799 | — | — | — |
| GuoQ.ZhaoQ.ChenM.DingD.HongZ. (2009). A comparison study of mild cognitive impairment with 3 memory tests among Chinese individuals. Alzheimer Dis. Assoc. Disord. 23 253–259. 10.1097/WAD.0b013e3181999e92 19812468 | — | — | — |
| HeJ.CarmichaelO.FletcherE.SinghB.IosifA. M.MartinezO. (2012). Influence of functional connectivity and structural MRI measures on episodic memory. Neurobiol. Aging 33 2612–2620. 10.1016/j.neurobiolaging.2011.12.029 22285758PMC3353006 | — | — | — |
| HeY.WangL.ZangY.TianL.ZhangX.LiK. (2007). Regional coherence changes in the early stages of Alzheimer’s disease: a combined structural and resting-state functional MRI study. Neuroimage 35 488–500. 10.1016/j.neuroimage.2006.11.042 17254803 | — | — | — |
| IvnikR. J.MalecJ. F.TangalosE. G.PetersenR. C.KokmenE.KurlandL. T. (1990). The Auditory-Verbal learning Test (AVLT): norms for ages 55 years and older. Psychol. Assess. 2 304–312. 10.1037/1040-3590.2.3.304 | — | — | — |
| JeongW.ChungC. K.KimJ. S. (2015). Episodic memory in aspects of large-scale brain networks. Front. Hum. Neurosci. 9:454. 10.3389/fnhum.2015.00454 26321939PMC4536379 | — | — | — |
| KarraschM.SinerväE.GrönholmP.RinneJ.LaineM. (2005). CERAD test performances in amnestic mild cognitive impairment and Alzheimer’s disease. Acta Neurol. Scand. 111 172–179. 10.1111/j.1600-0404.2005.00380.x 15691286 | — | — | — |
| KendallM.GibbonsJ. D. (1990). Rank Correlation Methods. New York, NY: Oxford Univ. | — | — | — |
| KoenJ. D.YonelinasA. P. (2014). The effects of healthy aging, amnestic mild cognitive impairment, and Alzheimer’s disease on recollection and familiarity: a meta-analytic review. Neuropsychol. Rev. 24 332–354. 10.1007/s11065-014-9266-5 25119304PMC4260819 | — | — | — |
| LeechR.KamouriehS.BeckmannC. F.SharpD. J. (2011). Fractionating the default mode network: distinct contributions of the ventral and dorsal posterior cingulate cortex to cognitive control. J. Neurosci. 31 3217–3224. 10.1523/JNEUROSCI.5626-10.2011 21368033PMC6623935 | — | — | — |
| LeffA. P.SchofieldT. M.CrinionJ. T.SeghierM. L.GroganA.GreenD. W. (2009). The left superior temporal gyrus is a shared substrate for auditory short-term memory and speech comprehension: evidence from 210 patients with stroke. Brain 132 3401–3410. 10.1093/brain/awp273 19892765PMC2792373 | — | — | — |
| MailletD.RajahM. N. (2014). Dissociable roles of default-mode regions during episodic encoding. Neuroimage 89 244–255. 10.1016/j.neuroimage.2013.11.050 24315838 | — | — | — |
| MajM.SatzP.JanssenR.ZaudigM.StaraceF.D’eliaL. (1994). WHO neuropsychiatric AIDS Study, cross-sectional phase II: neuropsychological and neurological findings. Arch. Gen. Psychiatry 51 51–61. 10.1001/archpsyc.1994.039500100510078279929 | — | — | — |
| MarshallL.BornJ. (2007). The contribution of sleep to hippocampus-dependent memory consolidation. Trends Cogn. Sci. 11 442–450. 10.1016/j.tics.2007.09.001 17905642 | — | — | — |
| MathiakK.HertrichI.GroddW.AckermannH. (2004). Discrimination of temporal information at the cerebellum: functional magnetic resonance imaging of nonverbal auditory memory. Neuroimage 21 154–162. 10.1016/j.neuroimage.2003.09.036 14741652 | — | — | — |
| McCormickC.QuraanM.CohnM.ValianteT. A.McAndrewsM. P. (2013). Default mode network connectivity indicates episodic memory capacity in mesial temporal lobe epilepsy. Epilepsia 54 809–818. 10.1111/epi.12098 23360362 | — | — | — |
| MevelK.ChételatG.EustacheF.DesgrangesB. (2011). The default mode network in healthy aging and Alzheimer’s disease. Int. J. Alzheimers Dis. 2011:535816. 10.4061/2011/535816 21760988PMC3132539 | — | — | — |
| MiallR. C.RobertsonE. M. (2006). Functional imaging: is the resting brain resting? Curr. Biol. 16 R998–R1000. 10.1016/j.cub.2006.10.041 17141608PMC6010146 | — | — | — |
| RabinL. A.ParéN.SaykinA. J.BrownM. J.WishartH. A.FlashmanL. A. (2009). Differential memory test sensitivity for diagnosing amnestic mild cognitive impairment and predicting conversion to Alzheimer’s disease. Aging Neuropsychol. Cogn. 16 357–376. 10.1080/13825580902825220 19353345PMC3114447 | — | — | — |
| RaichleM. E. (2015). The brain’s default mode network. Annu. Rev. Neurosci. 38 433–447. 10.1146/annurev-neuro-071013-014030 25938726 | — | — | — |
| RaichleM. E.MacLeodA. M.SnyderA. Z.PowersW. J.GusnardD. A.ShulmanG. L. (2001). A default mode of brain function. Proc. Natl. Acad. Sci. U.S.A. 98 676–682. 10.1073/pnas.98.2.676 11209064PMC14647 | — | — | — |
| RaschB.BornJ. (2007). Maintaining memories by reactivation. Curr. Opin. Neurobiol. 17 698–703. 10.1016/j.conb.2007.11.007 18222688 | — | — | — |
| RauscheckerJ. P.ScottS. K. (2009). Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing. Nat. Neurosci. 12 718–724. 10.1038/nn.2331 19471271PMC2846110 | — | — | — |
| SchmahmannJ. D.CaplanD. (2006). Cognition, emotion and the cerebellum. Brain 129 290–292. 10.1093/brain/awh729 16434422 | — | — | — |
| SchultzD. H.ColeM. W. (2016). Higher intelligence is associated with less task-related brain network reconfiguration. J. Neurosci. 36 8551–8561. 10.1523/JNEUROSCI.0358-16.2016 27535904PMC4987432 | — | — | — |
| SestieriC.CorbettaM.RomaniG. L.ShulmanG. L. (2011). Episodic memory retrieval, parietal cortex, and the default mode network: functional and topographic analyses. J. Neurosci. 31 4407–4420. 10.1523/JNEUROSCI.3335-10.2011 21430142PMC3098040 | — | — | — |
| ShankleW. R.RomneyA. K.HaraJ.FortierD.DickM. B.ChenJ. M. (2005). Methods to improve the detection of mild cognitive impairment. Proc. Natl. Acad. Sci. U.S.A. 102 4919–4924. 10.1073/pnas.0501157102 15781874PMC555034 | — | — | — |
| SmithS. M.FoxP. T.MillerK. L.GlahnD. C.FoxP. M.MackayC. E. (2009). Correspondence of the brain’s functional architecture during activation and rest. Proc. Natl. Acad. Sci. U.S.A. 106 13040–13045. 10.1073/pnas.0905267106 19620724PMC2722273 | — | — | — |
| TakashimaA.NieuwenhuisI. L.JensenO.TalaminiL. M.RijpkemaM. (2009). Shift from hippocampal to neocortical centered retrieval network with consolidation. J. Neurosci. 29 10087–10093. 10.1523/JNEUROSCI.0799-09.2009 19675242PMC6664975 | — | — | — |
| TianL.RenJ.ZangY. (2012). Regional homogeneity of resting state fMRI signals predicts stop signal task performance. Neuroimage 60 539–544. 10.1016/j.neuroimage.2011.11.098 22178814 | — | — | — |
| TrompD.DufourA.LithfousS.PebayleT.DesprésO. (2015). Episodic memory in normal aging and Alzheimer disease: insights from imaging and behavioral studies. Ageing Res. Rev. 24 232–262. 10.1016/j.arr.2015.08.006 26318058 | — | — | — |
| TulvingE.KapurS.CraikF. I.MoscovitchM.HouleS. (1994). Hemispheric encoding/retrieval asymmetry in episodic memory: positron emission tomography findings. Proc. Natl. Acad. Sci. U.S.A. 91 2016–2020. 10.1073/pnas.91.6.20168134342PMC43300 | — | — | — |
| UddinL. Q.Clare KellyA. M.BiswalB. B.Xavier CastellanosF.MilhamM. P. (2009). Functional connectivity of default mode network components: correlation, anticorrelation, and causality. Hum. Brain Mapp. 30 625–637. 10.1002/hbm.20531 18219617PMC3654104 | — | — | — |
| van den HeuvelM. P.PolH. E. H. (2010). Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur. Neuropsychopharmacol. 20 519–534. 10.1016/j.euroneuro.2010.03.008 20471808 | — | — | — |
| Van DijkK. R.SabuncuM. R.BucknerR. L. (2012). The influence of head motion on intrinsic functional connectivity MRI. Neuroimage 59 431–438. 10.1016/j.neuroimage.2011.07.044 21810475PMC3683830 | — | — | — |
| WeisS.KlaverP.ReulJ.ElgerC. E.FernándezG. (2004). Temporal and cerebellar brain regions that support both declarative memory formation and retrieval. Cereb. Cortex 14 256–267. 10.1093/cercor/bhg12514754866 | — | — | — |
| WinocurG.MoscovitchM.SekeresM. (2007). Memory consolidation or transformation: context manipulation and hippocampal representations of memory. Nat. Neurosci. 10 555–557. 10.1038/nn1880 17396121 | — | — | — |
| WolkD. A.DickersonB. C. Alzheimer’s Disease and Neuroimaging Initiative. (2011). Fractionating verbal episodic memory in Alzheimer’s disease. Neuroimage 54 1530–1539. 10.1016/j.neuroimage.2010.09.005 20832485PMC2997155 | — | — | — |
| YanC. G.WangX. D.ZuoX. N.ZangY. F. (2016). DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics 14 339–351. 10.1007/s12021-016-9299-4 27075850 | — | — | — |
| YstadM.EicheleT.LundervoldA. J.LundervoldA. (2010). Subcortical functional connectivity and verbal episodic memory in healthy elderly—a resting state fMRI study. Neuroimage 52 379–388. 10.1016/j.neuroimage.2010.03.062 20350608 | — | — | — |
| YuJ.LiJ.HuangX. (2012). The Beijing version of the montreal cognitive assessment as a brief screening tool for mild cognitive impairment: a community-based study. BMC Psychiatry 12:156. 10.1186/1471-244X-12-156 23009126PMC3499377 | — | — | — |
| ZangY.JiangT.LuY.HeY.TianL. (2004). Regional homogeneity approach to fMRI data analysis. Neuroimage 22 394–400. 10.1016/j.neuroimage.2003.12.030 15110032 | — | — | — |
| ZatorreR. J.BelinP.PenhuneV. B. (2002). Structure and function of auditory cortex: music and speech. Trends Cogn. Sci. 6 37–46. 10.1016/S1364-6613(00)01816-711849614 | — | — | — |
| ZhangZ.LiuY.JiangT.ZhouB.AnN.DaiH. (2012). Altered spontaneous activity in Alzheimer’s disease and mild cognitive impairment revealed by regional homogeneity. Neuroimage 59 1429–1440. 10.1016/j.neuroimage.2011.08.049 21907292 | — | — | — |
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | 2023 | 37232664 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Acute exercise increases BDNF and short-term memory in healthy adults. | Tommasini E et al. | — | 2026 | → |
| Default mode network connectivity is associated with executive and language performance in mild cognitive impairment. | Nasiri H et al. | — | 2026 | → |
| Effects of the herbal prescription Kami Guibi-tang on brain function in amnestic mild cognitive impairment: a task-based and resting-state fMRI study. | Kim D et al. | — | 2026 | → |
| Functional connectivity correlates of sequence memory decline in healthy older adults. | Trujillo-Llano C et al. | — | 2026 | → |
| Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex. | Krijnen EA et al. | — | 2025 | → |
| Cortical morphology changes in default mode network regions as predictors of cognitive decline in relation to amyloid and tau deposits. | Menardi A et al. | — | 2025 | → |
| Effects of Persistent Depression on Recall Memory are Moderated by Subjective Age Levels: Evidence From Community-Dwelling Older Adults. | Hoffman YSG | — | 2025 | → |
| Glans penis electric stimulation modulates cerebral activity and functional connectivity in lifelong premature ejaculation revealed by functional MRI. | Bai Y et al. | — | 2025 | → |
| Network segregation is associated with processing speed in the cognitively healthy oldest-old. | Nolin SA et al. | — | 2025 | → |
| Reactivation and consolidation of memory traces during post-encoding rest across the adult lifespan. | Mekbib DB et al. | — | 2025 | → |
| Resting-state functional connectivity and fast spindle temporal organization contribute to episodic memory consolidation in healthy aging. | Hamel A et al. | — | 2025 | → |
| Should we all go to college? Revisiting educational benefits for memory aging in a large-scale study. | Oi K | — | 2025 | → |
| Spliceosome protein alterations differentiate hubs of the default mode connectome during the progression of Alzheimer's disease. | Perez SE et al. | — | 2025 | → |
| Temporal dynamics of offline transcranial ultrasound stimulation. | Atkinson-Clement C et al. | — | 2025 | → |
| The Effects and Safety of Gamma Rhythm Stimulation on Cognitive Function in Alzheimer's Disease: A Systematic Review and Meta-Analysis. | Wu L et al. | — | 2025 | → |
| The impact of lifestyle factors on trajectories of cognitive subtypes in the older adult population. | Rodrigues EA et al. | — | 2025 | → |
| Altered resting-state functional connectivity and dynamic network properties in cognitive impairment: an independent component and dominant-coactivation pattern analyses study. | Bergamino M et al. | — | 2024 | → |
| Changes in brain structure and function during early aging in patients with chronic low back pain. | Zu Y et al. | — | 2024 | → |
| The co-activation pattern between the DMN and other brain networks affects the cognition of older adults: evidence from naturalistic stimulation fMRI data. | Sun F et al. | — | 2024 | → |
| Verbal memory network mapping in individual patients predicts postoperative functional impairments. | Wang F et al. | — | 2024 | → |
| Computerized Cognitive Training Enhances Episodic Memory by Down-Modulating Posterior Cingulate-Precuneus Connectivity in Older Persons With Mild Cognitive Impairment: A Randomized Controlled Trial. | Wu J et al. | — | 2023 | → |
| Connecting memory and functional brain networks in older adults: a resting-state fMRI study. | Waner JL et al. | — | 2023 | → |
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | Kamarajan C et al. | — | 2023 | → |
| Pre-surgical features of intrinsic brain networks predict single and joint epilepsy surgery outcomes. | Hinds W et al. | — | 2023 | → |
| Sex differences in structural covariance network based on MRI cortical morphometry: effects on episodic memory. | Shi Y et al. | — | 2023 | → |
| Age- and Episodic Memory-related Differences in Task-based Functional Connectivity in Women and Men. | Subramaniapillai S et al. | — | 2022 | → |
| Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data. | Akhonda MABS et al. | — | 2022 | → |
| Beneficial Effect of High-Frequency Repetitive Transcranial Magnetic Stimulation for the Verbal Memory and Default Mode Network in Healthy Older Adults. | Cui D et al. | — | 2022 | → |
| Early life stress is associated with the default mode and fronto-limbic network connectivity among young adults. | Ilomäki M et al. | — | 2022 | → |
| Increasing Brain Gamma Activity Improves Episodic Memory and Restores Cholinergic Dysfunction in Alzheimer's Disease. | Benussi A et al. | — | 2022 | → |
| Person-Based Similarity Index for Cognition and Its Neural Correlates in Late Adulthood: Implications for Cognitive Reserve. | West A et al. | — | 2022 | → |
| The Contribution of Working Memory Areas to Verbal Learning and Recall in Primary Progressive Aphasia. | Afthinos A et al. | — | 2022 | → |
| The effects of obstructive sleep apnea-hypopnea syndrome (OSAHS) on learn and memory function of 6-12 years old children. | Li H et al. | — | 2022 | → |
| The functions of sleep: A cognitive neuroscience perspective. | Simon KC et al. | — | 2022 | → |
| The multi-domain exercise intervention for memory and brain function in late middle-aged and older adults at risk for Alzheimer's disease: A protocol for Western-Eastern Brain Fitness Integration Training trial. | Chang YK et al. | — | 2022 | → |
| Functional Connectivity and Networks Underlying Complex Tool-Use Movement in Assembly Workers: An fMRI Study. | Taniguchi S et al. | — | 2021 | → |
| Generalization of memory-related brain function in asymptomatic older women with a family history of late onset Alzheimer's Disease: Results from the PREVENT-AD Cohort. | Rabipour S et al. | — | 2021 | → |
| Mindfulness Training Improves Cognition and Strengthens Intrinsic Connectivity Between the Hippocampus and Posteromedial Cortex in Healthy Older Adults. | Sevinc G et al. | — | 2021 | → |
| Network Segregation Predicts Processing Speed in the Cognitively Healthy Oldest-old | Nolin S et al. | — | 2021 | — |
| Parcellation-based anatomic modeling of the default mode network. | Sandhu Z et al. | — | 2021 | → |
| Reorganization of brain structural networks in aging: A longitudinal study. | Coelho A et al. | — | 2021 | → |
| Sensory Processing Sensitivity Predicts Individual Differences in Resting-State Functional Connectivity Associated with Depth of Processing. | Acevedo BP et al. | — | 2021 | → |
| The Effect of Cognitive Load on the Retrieval of Long-Term Memory: An fMRI Study. | Sisakhti M et al. | — | 2021 | → |
| Aberrant Executive Control and Auditory Networks in Recent-Onset Schizophrenia. | Joo SW et al. | — | 2020 | → |
| Comparing the Effects of Sleep and Rest on Memory Consolidation. | Tucker MA et al. | — | 2020 | → |
| Functional network reorganization in older adults: Graph-theoretical analyses of age, cognition and sex. | Stumme J et al. | — | 2020 | → |
| Interaction of Catechol-O-methyltransferase Val<sup>158</sup> Met polymorphism and sex influences association of parietal intrinsic functional connectivity and immediate verbal memory. | Wu S et al. | — | 2020 | → |
| Is color source retrieval sensitive to emotion? Electrophysiological evidence from old/new effects. | Zhou W et al. | — | 2020 | → |
| Altered Neural Networks in the Papez Circuit: Implications for Cognitive Dysfunction after Cerebral Ischemia. | Escobar I et al. | — | 2019 | → |
| Differentiation of Early Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Healthy Elderly Samples Using Multimodal Neuroimaging Indices. | Joshi H et al. | — | 2019 | → |
| Transcranial direct current stimulation applied after encoding facilitates episodic memory consolidation in older adults. | Sandrini M et al. | — | 2019 | → |